Vampire Survivors was one of the standout hits when it launched in 2022, selling over a million copies in a matter of months and taking home Best Game at the BAFTAs. Its developer Poncle has grown to be able to publish other titles like Kill the Brickman, create a spin-off title in Vampire Crawlers, and release several DLC updates for Vampire Survivors. Now, as the game has reached over 27 million players, Poncle has over 15 games in active development, including two new original IPs. That comes from a new interview from The Game Business with Matteo Sapio, chief executive [β¦]
Read full article at https://wccftech.com/vampire-survivors-developer-poncle-has-over-15-games-in-development-two-original-ips/
The MSI Vector 16 HX AI is probably being picked up in droves on Amazon, likely because this gaming laptop offers the best value for an RTX 5070 Ti machine. Best of all, youβre getting a free copy of Capcomβs latest sci-fi AAA game, PRAGMATA, and if you have yet to indulge in this title, youβre definitely missing out. The sad part about the Amazon deal is that you have a limited amount of time to pick it up for $1,609.99 because only a few units remain in stock. The current Vector 16 HX AI configuration offers the standard RAM [β¦]
Read full article at https://wccftech.com/limited-msi-vector-16-hx-ai-gaming-laptop-units-available-for-1610-on-amazon/
Rebel Wolves' open-world RPG The Blood of Dawnwalker has been in the works for some time and will finally make its debut this year on PC and consoles. When this will happen exactly will be revealed next week during aΒ Road to Launch Event, where more information on the game will be shared alongside its release date. The event, which will stream on April 28th at 9:00 AM PDT / 6:00 PM CEST / 5:00 PM BST, will also feature new gameplay, a new story trailer, the PC system requirements, and all the details on the game's editions. "We are getting [β¦]
Read full article at https://wccftech.com/the-blood-of-dawnwalker-april-28-showcase-release-date-pc-specs/
The AI industry has grown exponentially, but at the cost of gobbling up nearly all of the DRAM supply, leaving next to nothing for a multitude of manufacturers hailing from other businesses. Memory makers are also struggling to keep up with demand and may only meet 60 percentΒ of the entire supply through 2027. Samsung, being one of the firms to mass produce DRAM chips, appears to favor its short-term growth and profits over lending a hand to its DX (Device Experience) and MX (Mobile Experience) units, which are responsible for smartphone launches. According to the latest report, the situation is [β¦]
Read full article at https://wccftech.com/samsung-executive-warns-of-smartphone-business-deficit-due-to-rising-memory-costs/
The existing Crosshair and Raider lineups have received new models, featuring up to GeForce RTX 5090 and high-end Intel Core Ultra 200HX processors. MSI Debuts Raider 16 and Crosshair 16 Series Laptops, Featuring Core Ultra 200HX-RTX 50 Series Combos; Upgrades Titan and Stealth 18 Laptops as Well Popular hardware and peripheral manufacturer, MSI, has launched new laptop models under the Raider and Crosshair series, featuring upgraded configurations. The company has announced that the newer models will be powered by the Intel Core Ultra 200HX processors, paired with high-end NVIDIA GeForce RTX 50 series GPUs to achieve high performance gaming and [β¦]
Read full article at https://wccftech.com/msi-launches-new-raider-16-and-crosshair-16-laptops-with-core-ultra-200hx/
Circana executive director and video game industry analyst Mat Piscatella has reported the US sales charts for the month of March 2026, and perhaps unsurprisingly, it's MLB The Show 26 that appears at the top of the charts, helping to drive a 12% spending growth compared to March 2025 alongside Crimson Desert and PokΓ©mon Pokopia. While Piscatella cites Crimson Desert as one of the main spending growth drivers, when looking at the full top-20 list of best-selling games by dollar sales, including both physical and digital sales, the new open-world from Pearl Abyss failed to make the top 10. It [β¦]
Read full article at https://wccftech.com/crimson-desert-missed-top-10-best-selling-games-in-us-march-2026-marathon-made-the-cut/
Beyerdynamicβs gaming headsets have always lived slightly outside the mainstream. They donβt chase RGB trends or software-heavy ecosystems, and they rarely shout about features they canβt back up with fundamentals. The MMX 150 Wireless follows that same philosophy, but with a modern twist: lowβlatency wireless, Bluetooth dual connectivity, and battery life good enough to forget about charging for days. On paper, itβs Beyerdynamic stepping into a space already crowded by SteelSeries, Corsair, and Sony. In practice, the MMX 150 Wireless feels like what Beyer does bestβsound first, comfort second, gimmicks lastβjust without a cable attached. Design & Comfort β Familiar, [β¦]
Read full article at https://wccftech.com/review/beyerdynamic-mmx-150-wireless-review-classic-beyer-sound-finally-cuts-the-cord/
Owlcat's rather unusual tradition of holding Closed Beta tests for its single player roleplaying games continues with The Expanse: Osiris Reborn. Starting today, customers who have purchased the Miller's Pack (at β¬79.99) or the Collector's Edition (at β¬289) from the official website will be able to get a taste of the game via the Closed Beta, available across all platforms: PC, PlayStation 5, and Xbox Series S and X. Owlcat kindly provided Wccftech with advanced access to the Closed Beta build, giving me the chance to preview this highly anticipated action RPG. The section of the game included in the [β¦]
Read full article at https://wccftech.com/the-expanse-osiris-reborn-beta-hands-on/
The system integrator is deploying AMD's flagship Zen 5 X3D chip to deliver the best possible configuration available on the market. MAINGEAR Intros MG-1 Gaming Desktop With Ryzen 9 9950X3D2 Dual Edition, Up To GeForce RTX 5090, and Up To 128 GB DDR5 Memory Popular system integrator, MAINGEAR, has introduced the MG-1 gaming desktop with new configuration, consisting of the recently launched AMD Ryzen 9 9950X3D2 Dual Edition. The MG-1 lineup already has plenty of configurations, including processors and GPUs from popular vendors like Intel, NVIDIA, and AMD, but with the launch of Ryzen 9 9950X3D2, the system has now [β¦]
Read full article at https://wccftech.com/maingear-launches-mg-1-with-ryzen-9-9950x3d2/
This new platform creates a single environment for technical teams to build, scale, govern and optimize autonomous agents.
You can now do in 20 minutes what used to take a full afternoon. Feed two Semrush exports into Claude or ChatGPT, and youβll get a polished competitor analysis β complete with topic clusters, gap tables, and prioritized briefs.
The output looks convincing. The tables are clean. The recommendations sound confident.
Thatβs the problem. AI can organize and summarize data quickly, but it canβt make strategic decisions. Without the right workflow, prompts, and validation, you risk acting on insights that sound right but lack depth.
Used correctly, though, AI can surface meaningful patterns β revealing differences in topical depth, content coverage, and authority signals that influence search visibility.
Hereβs a walkthrough of a real two-competitor analysis using Claude and Semrush data, showing how to turn fast AI outputs into a reliable strategy. Youβll get a repeatable workflow, tested prompts, and a validation checklist to catch common mistakes, along with a clear sense of where to trust AI β and where to rely on your judgment.
AI wonβt run a competitor analysis for you. But it can compress the manual work β clustering, pattern matching, and synthesis β so you can focus on interpreting intent, validating opportunities, and deciding whatβs worth pursuing.
Note: The sites in this analysis are real but anonymized. Site Y is our client, while Competitors A and B are direct competitors in the same niche. The data is from real Semrush exports pulled in early 2026.
Whenever possible, start by exporting data from your SEO tool. Donβt ask an AI assistant to guess what an SEO tool can tell you.
Otherwise, you assume your AI assistant is a measurement tool. Although it isnβt, itβll try its best to respond to your request. This often looks like plausible-sounding traffic estimates, keyword lists, and competitive assessments that are partially or entirely fabricated.
Hereβs what we exported and why each piece matters.
This report tells you which pages are winning. Key columns include the URL, estimated traffic per page, number of ranking keywords per page, the intent breakdown (commercial, informational, navigational, transactional), and the traffic change column that shows momentum.
For example, a page pulling 14,500 visits from 1,632 keywords is a different asset from a page pulling 400 visits from 12 keywords. The intent split tells you why that traffic matters.
This export tells you which keywords are winning. Key columns here are keyword and position, search volume, keyword difficulty , search engine results page (SERP) features (image packs, video carousels, and People Also Ask), and keyword intent tags.
Instead of telling you which URLs perform best, this report reveals which search queries drive the most traffic. You need both reports for a complete picture.
For each competitor and for your own site, pull:
Next, feed your exports into your AI assistant. Ask it to do three things: classify, cluster, and compare.
Hereβs the prompt I used:
LoginI'm going to give you a Semrush Organic Pages export for a website. Each row is a URL with its estimated organic traffic, number of ranking keywords, and intent breakdown.
Please:
1. Assign each URL to a topic category (e.g., "Product - Roof Racks," "Editorial - Buying Guides," "Support - Technical," "Category - Inventory")
2. Assign a page type: Homepage, Product Page, Category Page, Editorial/Guide, Blog Post, Support/Info, Landing Page, or Other
3. Create a summary table showing: topic category, number of pages, total traffic, and dominant intent
Rules:
- Base classifications on the URL path and any context available. Do NOT guess traffic numbers or keyword data. Use only what's in the export.
- If a URL is ambiguous, flag it as "needs manual review" rather than guessing.
- Group similar topics (e.g., don't create separate categories for "off-road accessories" and "off-road bumper kits." Cluster them).
- After classifying, list any URLs where you're less than 80% confident in the classification. I'll verify those manually.
Here's the data:
[PASTE PAGES EXPORT]For Site Y, Claude identified seven topic clusters across 100 pages. Hereβs the summary:
| Topic Cluster | Pages | Traffic | Dominant intent |
| Homepage/Brand | 3 | 14,651 | Mixed (commercial and informational) |
| Buying guides and comparisons | 25 | ~10,600 | Informational and commercial |
| Roof racks and cargo (product) | 2 | ~5,100 | Commercial and transactional |
| Bumpers and armor (product) | 38 | ~2,300 | Commercial |
| Installation and how-to content | 4 | ~1,300 | Informational |
| Inventory/Category | 4 | ~540 | Transactional |
| Other (brand, manufacturer, thin) | 24 | ~1,300 | Mixed |
Even before comparing competitors, this taxonomy tells a story. Our clientβs organic traffic is driven more by editorial content (buying guides and comparisons) than by all product pages combined.
In fact, a single buying guide pulled 7,336 visits on its own, and the top product page drove 5,021. That editorial strength is both a strategic asset and a vulnerability, since editorial rankings can be more volatile than product page rankings.
Once youβve created a taxonomy for each site, use this prompt to compare them:
I now have topic taxonomies for three competing sites in the same niche. I'm going to give you the summary tables for all three.
Please:
1. Build a comparison table showing how each site's traffic distributes across topic categories
2. Identify each site's "content strategy signature": what type of content drives the majority of their organic traffic
3. Flag any categories where one site dominates and the others are weak or absent
4. Note the traffic concentration: what percentage of each site's total traffic comes from their top 3 pages
Rules:
- Use only the data provided. Do not estimate or infer traffic for categories not present in a site's export.
- If a category doesn't exist for a site, mark it "Not present" rather than zero. We don't know if they have content there, only that it doesn't appear in their top 100.
Site Y taxonomy:
[PASTE]
Competitor A taxonomy:
[PASTE]
Competitor B taxonomy:
[PASTE]When we used this prompt, Claude revealed three completely different strategies from the same niche.
| Site Y | Info/support pages (60 of the top 100) | Competitor B | |
| Content strategy | Editorial-led | Utility/support-led | Product page-led |
| Top content type | Buying guides and comparisons | Info/support pages (60 of top 100) | Product pages and category pages |
| Non-homepage hero page | Tow capacity and fitment calculator (7,336 visits) | Bolt pattern lookup guide (1,245 visits) | Off-road bumper category (3,200 visits) |
| Traffic concentration (top three) | 75.3% | 81.2% | 71.8% |
| Estimated traffic (top 100) | 35,681 | 7,017 | 11,093 |
| Momentum | Growing (+1,743 net) | Flat (-264 net) | Declining (-1,525 net) |
Manually developing this comparison could require hours of spreadsheet work between categorizing 300 URLs, building pivot tables, and trying to spot patterns across three tabs. But Claude did it in minutes.
The pattern recognition alone (three completely different strategies from three sites selling in the same market) is genuinely valuable output.
The numbers show that Site Y pulls five times the organic traffic of Competitor A and three times that of Competitor B, despite all three competing in the same space.
Competitor Aβs second-highest traffic page is a bolt pattern guide on a support subdomain. Competitor B is losing ground fast, with its top category page dropping by 1,184 visits.
If youβre running a competitive analysis and you donβt spot patterns like these, youβre missing the strategic story behind the data.
If you were to stop after generating the clusters and comparison chart, youβd have a plausible-looking competitive analysis. But the AI-generated output needs human intervention before you make any strategic decisions.
Spot-check 10-15% of classifications by visiting the URLs. Correct the taxonomy, and then re-run the comparison. This turns an 85% accurate first draft into one with 95% or higher accuracy.
The βconfidence flagβ line in the prompt (βlist any URLs where youβre less than 80% confidentβ) saves you from having to guess which ones to check. If you skip this step, the misclassifications can distort your entire competitive profile.
For example, when I checked Claudeβs page classifications against the actual live pages, roughly 15% needed correction. It tagged a product comparison page as a blog post. It classified a regional landing page as a category page. And it lumped an FAQ page into the βOtherβ category even though it served as the siteβs primary buyerβs guide for a specific product line.
These misclassifications were the kind of accidental calls that come from categorizing URLs by path structure alone, without seeing the page content. For example, if a URL path says /blog/best-off-road-accessories/, AI assistants will call it a blog post even if the page functions as a commercial comparison guide.
AI assistants can surface data points in seconds, but they canβt make strategic calls for you. Interpreting the data requires understanding your clientβs business model, their authority level, and their content capacity.
Iβve seen teams burn an entire content sprint on high-volume informational keywords that drove plenty of traffic and zero leads. If the intent doesnβt match your business goals, the volume is irrelevant.
For example, Competitor Aβs second-highest-traffic page is a bolt pattern lookup guide, pulling 1,245 visits per month. Claude flagged this as a content strategy gap for Site Y, since our client had no equivalent utility content.
While this is technically correct, itβs strategically misleading. The bolt pattern guide targets purely informational intent. So, the page builds authority and earns links, but itβs not a commercial driver.
While it can be helpful to create utility content like this, it should be a steady background effort, not a priority sprint. The commercially relevant gaps (product categories, buying guides) come first.
Use this prompt fix:
For each opportunity you flag, check the intent breakdown from the Semrush data.
If more than 60% of the traffic is informational or navigational intent, flag it separately as "authority builder, not direct conversion driver" so I can prioritize accordingly.AI assistants work from the position numbers and volume data in your SEO reports. They donβt know what the SERP looks like.
For example, Claude saw that Site Y ranks Position 3 for βoff-road roof rackβ (22,200 monthly searches, driving 1,443 visits) and treated it as a straightforward optimization opportunity. Push the page to position one, and capture more traffic. Simple.
But in reality, the SERP is packed with rich features: popular products, an image pack, and People Also Ask. The traditional organic blue links appear barely above the fold on desktop and well below the fold on mobile.
Ranking in position one likely wouldnβt deliver the traffic increase youβd normally expect from a 22,200-volume keyword because the SERP features absorb most of the clicks.
For your top five or 10 priority keywords, do a manual SERP check. If the page is dominated by shopping carousels and video results, then a traditional organic push may not be the right play. Instead, a product feed optimization or video content strategy might be more effective.
Your SEO tool already has a keyword gap report. But a raw list of missing keywords isnβt a strategy.
Use it as a starting point. Then, let AI clusteri those gaps into themes, tiering them by intent and business relevance and turning raw gap data into prioritized actions.
We pulled two Semrush Keyword Gap reports comparing Site Y against both competitors. They revealed:
Use this prompt with your AI assistant:
I'm going to give you two Semrush Keyword Gap reports:
1. MISSING: keywords where both competitors rank and Site Y doesn't
2. WEAK: keywords where Site Y ranks but competitors outrank us
Each row includes: keyword, intent tags, search volume, keyword difficulty, CPC, and the ranking position for each site.
Please:
1. Cluster the keywords into thematic groups (e.g., "bumpers," "roof racks," "overlanding gear," "light bar kits," "torque specs/fitment"). A keyword can only belong to one cluster.
2. For each cluster, provide: number of keywords, total search volume, dominant intent, and average keyword difficulty.
3. Separate the clusters into tiers based on intent:
- Tier 1 (Commercially relevant): Clusters with predominantly commercial or transactional intent that align with the site's core product/service offering
- Tier 2 (Adjacent commercial): Clusters that are commercially relevant to the broader market but may not be the site's primary product focus
- Tier 3 (Authority builders): Clusters with primarily informational or navigational intent that build topical authority but are unlikely to drive direct conversions
Note: I will review the tier assignments and adjust based on business model fit. AI should make its best guess and flag any clusters where the tier assignment is uncertain.
4. Within each tier, sort by combined search volume
5. Flag any keywords that are branded competitor terms (e.g., a competitor's product or brand name). These are generally not pursuable gaps
6. For the WEAK keywords, separate into "close wins" (Site Y in positions 1-10) vs. "long shots" (Site Y in positions 50+)
Rules:
- Use ONLY the keywords in these exports. Do not suggest keywords not present in the data.
- If intent data is missing or ambiguous, mark it "verify manually" rather than guessing.
- Do not invent search volume or ranking data. If a field is empty, say "not available."
MISSING keywords:
[PASTE]
WEAK keywords:
[PASTE]When we used this prompt with Claude, clear thematic clusters emerged from the 217 missing keywords:
| Cluster | Keywords | Combined volume | Dominant intent | Claudeβs tier |
| Bumpers / skid plates | 30+ | ~12,000/mo | Commercial | 1 |
| Roof racks / cargo systems | 10+ | ~8,000/mo | Commercial | 1 |
| Winches (for sale) | 15+ | ~5,500/mo | Transactional | 1 |
| LED light bar kits | 12+ | ~3,200/mo | Commercial | 1 |
| Overlanding gear / overlanding accessories | 10+ | ~2,800/mo | Commercial | 1 |
| Torque specs / installation guides | 8+ | ~1,500/mo | Informational | 3 |
| Branded competitor terms | 6+ | ~1,200/mo | Navigational | Skip |
This step determines where you spend the next quarterβs content budget, so human judgment is essential.
If you let an AI assistant set your content priorities based purely on search volume and intent labels, youβll end up chasing someone elseβs market instead of dominating your own. Volume is seductive, but business alignment is what drives revenue.
For example, Claude clustered 323 keywords and tiered them by intent in minutes. But it assigned bumpers/skid plates (~12,000/month volume) the same priority as overlanding gear (~2,800/month) because it doesnβt know what Site Y sells.
Without our human override, we may have built our content calendar around the wrong cluster.
| Cluster | Claudeβs tier | Corrected tier | Reasoning |
| Overlanding gear / overlanding accessories | 1 | 1: Core business | Directly aligned with Site Yβs primary product line. These are the keywords that drive qualified buyers. |
| Bumpers / skid plates | 1 | 2: Adjacent | High volume, commercially relevant to the broader market, and Site Y stocks some of these products. Worth targeting through editorial/guide content over time, but not the priority sprint. |
| Roof racks / cargo systems | 1 | 2: Adjacent | Related to what Site Y does, but not the core offering. |
| Winches (for sale) | 1 | 2: Adjacent | Transactional intent is appealing, but these are a different product category. |
| LED light bar kits | 1 | 2: Adjacent | Related market, but not core inventory. |
| Torque specs / installation guides | 3 | 3: Authority | Informational content that builds topical relevance. Steady background effort. |
| Branded competitor terms | Skip | Skip | Canβt realistically win these anytime soon. |
Next, find the low-effort opportunities with the biggest payoffs.
For example, from 106 weak keywords, we separated 17 close wins where Site Y already ranks in positions one through 10. These have real potential:
| Keyword | Volume | Site Y Position | Best Competitor Position | Gap |
| overlanding accessories | 1,600 | 3 | 1 | 2 positions |
| overlanding gear | 720 | 3 | 1 | 2 positions |
| overlanding roof rack | 720 | 4 | 1 | 3 positions |
| overlanding accessory kit | 590 | 3 | 1 | 2 positions |
| overlanding storage system | 390 | 3 | 1 | 2 positions |
| overland vehicle accessories | 320 | 3 | 1 | 2 positions |
| overland accessories | 260 | 3 | 1 | 2 positions |
| overlanding cargo rack | 210 | 3 | 1 | 2 positions |
Site Y sits at position three across virtually every βoverlandingβ variant, while Competitor A holds position one. These are optimization opportunities. A focused push toward better on-page targeting, internal linking adjustments, and content updates incorporating βoverlandingβ language more explicitly could flip several of these to position one or two.
Thatβs a different action than writing a new page. Claude would have defaulted to the latter if we hadnβt split the data into close wins and long shots.
As a final validation step, pull the backlink profiles for your competitors.
When we did this, we found that both had relatively thin link profiles. Competitor B had 199 backlinks with an average page authority score of just 1.1 (on Semrushβs 0-100 scale), while Competitor A had 128 backlinks, averaging a 3.1 authority score. The highest quality links for both came from the same handful of overlanding and off-road vehicle publications.
The most-linked pages and the top organic pages barely overlapped for either competitor. Only the homepages appeared in both lists.
Competitor Bβs top backlinks pointed to product pages, while its top organic traffic came from category pages. Competitor Aβs best links came from editorial features, while their organic traffic was dominated by the homepage and a support page.
This tells us their organic rankings are driven more by topical relevance and on-page SEO than by direct link equity to individual pages. It means the keyword gaps we identified are likely winnable through content and optimization rather than requiring a major link building campaign.
Use your competitor analysis to draft a content brief with AI. Input this prompt:
Based on the gap analysis we ran, [DESCRIBE PRIORITY CLUSTER] emerged as a priority. Draft a content brief for optimizing the existing presence and/or creating a new page to capture this cluster.
Include:
1. Primary and secondary target keywords (from our data only)
2. Recommended page type and format (based on what's currently ranking for these terms)
3. Content structure with suggested H2s
4. Content elements the ranking competitors include that our page should match or exceed
5. Estimated word count range based on competing content
Then, in a separate section called "Differentiation: For Human Review," suggest 3 possible angles that would make this page genuinely different from what already ranks. These are suggestions for me to evaluate, not final decisions.
Before finalizing the brief, cross-reference the target keywords against Site Y's existing pages export. Flag any existing pages that already rank for or target similar keywords. These are potential cannibalization risks that need to be resolved before creating new content.
Rules:
- Do not fabricate competitor content details. Base element recommendations on what we know from our data (URLs, page types, keyword footprints)
- If you need information you don't have (e.g., actual competitor page content), say "manual review needed: [specific thing to check]" rather than guessingFrom this prompt, Claude drafted a clean brief with target keywords from our data, recommended format (long-form guide with product integration), and an H2 structure.
It also performed a cannibalization check. Because we added a cross-reference line to the prompt, Claude flagged that Site Y already had a related page pulling 838 visits. If weβd created a new page without checking, it would have competed with the existing page. That one line in the prompt saved us from unnecessary internal competition.
But the differentiation section needed human input. Only someone who knows Site Yβs brand voice and customer objections could pick the right angle from these suggested options:
The experience signals (actual trail tests, customer stories, installation details) also need substantial human oversight. This is where Googleβs emphasis on experience, expertise, authoritativeness, and trustworthiness meets practical execution. If you donβt have genuine first-hand experience to draw on, no amount of keyword optimization will close that gap.
Before you act on any AI-assisted competitor analysis, go through this checklist to prevent the most common errors.
AI tools have changed where you spend your time when conducting a competitor analysis. The data gathering, clustering, cross-referencing, and initial synthesis that used to consume most of your time? AI handles that efficiently.
Instead, AI assistants free up thinking time. Now, you can spend that time on the parts that determine whether your analysis leads to results: interpreting intent, validating classifications, and making strategic calls about whatβs worth pursuing and whatβs a distraction.
As artificial intelligence integrates deeper into our workflows, understanding its vulnerabilities is critical. A recently exposed vulnerability known as Best-of-N (BoN) jailbreaking has redefined how we view AI safety.Β
Hereβs a breakdown of BoN jailbreaking, how the attack works, and why it creates real risk for your data, brand, and the AI tools you rely on.
Before getting into BoN, there are two terms you need to actually understand, not just nod at.
BoN is brute force, but smarter. Instead of trying every possible combination from scratch, it exploits the built-in randomness of AI models.Β
The logic is simple: if an AI gives slightly different answers every time, and some of those answers slip past its own safety rules, then the attacker just needs to ask enough times, in enough slightly different ways, until one version of the question gets the forbidden answer through.
Thatβs not just a technical edge case. It means safeguards can be bypassed at scale, with direct implications for how your team uses AI tools every day.
The research behind this technique describes it as a βsimple black-box algorithm.β Black-box means the attacker doesnβt need to see inside the model. No access to the code, no insider knowledge required. Theyβre working from the outside, just like any regular user would.
Think of it like a kid asking for candy when youβve already said no. The first βnoβ doesnβt stop them. They rephrase, change their tone, ask at a slightly different moment, and try from a different angle.Β
They ask another adult or wear you down, not by finding a magic phrase, but by generating enough variations that eventually one lands at the exact moment your patience runs out. BoN is that kid, automated, running thousands of variations per minute.
This is the part that should make you uncomfortable, because it shows how little effort it takes to turn this into a real-world risk. The setup isnβt sophisticated.
The attacker takes a forbidden prompt, something the AI is trained to refuse, and generates hundreds or thousands of variations.Β
Not clever rewrites, just noise: random capitalization (HoW Do Iβ¦), scrambled characters, inserted typos, and meaningless filler tokens.Β
Ugly, broken-looking text that a human would immediately recognize as weird, but that an AI processes token by token.
All those variations get sent to the model simultaneously, or in rapid succession, using a simple script. This isnβt a complex operation.Β
Anyone with basic Python knowledge and access to an API can automate this. The compute cost is low. The barrier to entry is lower than most people assume.
An automated grader, often just another LLM, scans all the outputs and flags the one response that bypassed the safety filter and delivered the restricted content. The attacker doesnβt read thousands of responses. The second AI does the screening for them.
Thatβs the full attack. No special hardware, no insider access, and no advanced degree in machine learning.
The original research clocked an 89% attack success rate on GPT-4o and 78% on Claude 3.5 Sonnet when running 10,000 augmented prompt variations.Β
With just 100 variations, Claude 3.5 Sonnet still failed 41% of the time. This didnβt quietly fade into the research archives when the models got updated. It was presented as a poster at NeurIPS in December 2025.Β
NeurIPS is the most prestigious machine learning conference in the world. And the attack has only gotten faster. Newer BoN-based techniques can now achieve comparable success rates while cutting the time to attack from hours to seconds.
Meanwhile, OWASP, the gold standard for cybersecurity risk rankings, listed prompt injection, the category BoN falls under, as the No. 1 vulnerability in their 2025 LLM Top 10.Β
The success rate also follows a predictable power-law curve, meaning attackers can mathematically forecast how many attempts they need before they break through.Β
Forget luck, weβre talking about a calibrated, scalable operation. BoN also works across all modalities: text, images (change the font, background, and color), and audio (adjust pitch, speed, and background noise). Every format and frontier model tested.
Cybersecurity and marketing used to be separate conversations. AI collapsed that boundary and put brand risk directly inside your AI workflows.
The research is unambiguous: given enough augmented attempts, some will get through. This applies to every AI tool in your stack, whether itβs internal, customer-facing, or embedded in your content workflows.
When your team pastes a client brief, a competitorβs ad copy, or licensed third-party content into a prompt to βget AI help,β youβre introducing material that could later be extracted.Β
BoN jailbreaking demonstrates that copyrighted content can be physically retrieved from model weights under the right conditions. If an AI can reproduce verbatim text when sufficiently probed, that content is encoded in there. The safety filter was the only thing standing between it and the output.
If someone uses BoN to jailbreak an AI tool your brand has deployed, a customer chatbot, or a content generation tool and extracts harmful, offensive, or legally compromising output, the story doesnβt start with βAI was jailbroken.β It starts with your brand name. You know this, journalists know this, and social media content creators know this.
BoN doesnβt operate alone. Combining it with a βprefix attack,β a carefully crafted phrase attached to the start of each prompt, boosted success rates by an additional 35% while requiring fewer attempts. The technique actively evolves toward greater efficiency.
Treat prompt inputs with the same sensitivity youβd apply to data under GDPR. Licensed content, client briefs, proprietary information β none of it belongs in a third-party AI tool without a clear data policy from the vendor.
If your AI vendor says the model is safe and that settles it for you, youβve outsourced your risk assessment to the party that profits from minimizing it. Output monitoring, anomaly detection on request volume spikes, and continuous red-teaming are due diligence.
Text, image, and audio. BoN applies across all of them. If your brand uses any AI-powered tool that handles user inputs in multiple formats, the vulnerability applies.
Prompts in, outputs out. If an incident happens, legal will ask what the model was given and what it produced. Without logs, you have no defense and no evidence.
The same built-in randomness that makes AI useful for creative and marketing work makes it exploitable at scale. BoN jailbreaking is an active, validated, and accelerating threat that the cybersecurity community is racing to defend against.Β
Most marketing teams havenβt yet priced in the brand, legal, and reputational stakes. The ones that do first will build defensible practices before they need them. The rest will learn it through an incident they didnβt see coming, and wonβt be able to explain after the fact.
Industry hopes that Intel 18A can alleviate CPU shortages The world isnβt just facing a memory shortage; itβs also facing a CPU shortage. Intel is currently capacity-limited, meaning it cannot make enough CPUs to meet demand. AI datacenter demand is driving sales of large Xeon processors, making some of Intelβs other CPUs scarce. According to [β¦]
The post Industry faces βacuteβ CPU shortage with hope that Intel 18A yields improve appeared first on OC3D.
AMD has officially launched its first dual 3D V-Cache CPU, the Ryzen 9 9950X3D2 Dual Edition, offering a massive 208 MB cache at $899. AMD's Ryzen 9 9950X3D2 Dual Edition: Dual 3D V-Cache CPU Tiles Offering A Massive 208 MB Cache, Now Available at $899 A dual 3D V-Cache CPU from AMD has been expected for a while. The company has made prototypes of such chips with their Zen 4 architecture, but has stuck to a singular stack design till now. The rumors of an ultimate dual CCD and dual stacked X3D chip started floating on the internet back in [β¦]
Read full article at https://wccftech.com/amd-ryzen-9-9950x3d2-dual-edition-cpu-now-available-899-usd/
Google has announced the AI Hypercomputer, which brings together TPUv8 series, NVIDIA Rubin, & Axion CPUs to power the Agentic AI era. Google Cloud Next 26: AI Hypercomputer Announcement Gives Agentic AI The Next Push, Leverages In-House TPUs, CPUs & Scales Beyond With NVIDIA Rubin Gone are the days of supercomputers; the Agentic AI era will be all about hypercomputers, which will combine various compute options to deliver customers the most flexible and performant AI architecture ever built. Today, at Google's Cloud Next 26 event, the company formally announced its AI Hypercomputer. The new high-performance computing datacenter for Agentic AI [β¦]
Read full article at https://wccftech.com/google-unveils-the-heart-of-agentic-ai-the-ai-hypercomputer-8th-gen-tpus-nvidia-rubin-axion-cpus/
Tenstorrent has previewed its optimized AI model, which is powered by the Blackhole servers, offering blazing-fast video generation speeds. Video Generation In The Blink of an Eye, Tenstorrent Achieves Real-Time Video Processing Speeds With New AI Model Running on Blackhole AI Video Generation takes a good amount of time; essentially, the faster your hardware, the faster you'll be able to generate videos. While the process has gotten efficient, Tenstorrent is taking things to the next level. The company previewed its upcoming AI model, Wan2.2-14B, which is trained on 14 billion parameters within servers running several hundred Blackhole accelerators. And the [β¦]
Read full article at https://wccftech.com/tenstorrent-ai-model-blackhole-servers-generates-videos-faster-than-real-time/
With the unexpected cancellation of MediaTek keynote, all eyes will be on NVIDIA's Jensen's presentation, possibly revealing the N1 Laptop SoC. Taitra Cancels MediaTek Rick Tsai's Computex Keynote Unexpectedly Ahead of the Event; NVIDIA Likely to Unveil the N1/N1X SoC for Low-Power Gaming Laptops We have all been waiting for NVIDIA to reveal its N1/N1X SoC that will power the next generation of low-power gaming laptops, positioning itself as a strong competitor against AMD and Intel in the mainstream segment. We are interested to know how the NVIDIA-MediaTek collaboration will shape up the laptop market since the N1X SoC is [β¦]
Read full article at https://wccftech.com/mediatek-abruptly-pulled-from-computex-2026-keynote-slot-handing-nvidia-the-stage/
Redactify is a tool for your Mac that finds and removes personally identifiable information in documents. Drag and drop files to scan, irreversibly black out sensitive content, and strip hidden coordinates and timestamps. It runs entirely offline with no servers, subscriptions, or internet connection. The app flattens PDFs into image-only pages so text extraction is impossible, delivering hardened, shareable documents.
Material Lab helps engineers quickly find the right material from a library of over 10,000 options. Describe your requirements, add property constraints, or upload technical specs; the platform extracts key properties, runs real-time analysis, and delivers ranked recommendations with clear trade-off insights in about 30 seconds. Engineers across industries use Material Lab to reduce research time, compare candidates objectively, and select materials that meet performance, cost, and compliance needs with confidence.
The eighth generation of Googleβs TPU includes two specialized chips that will power the future of AI.
An overview of Googleβs eighth generation TPUs, built for the agentic era.
Hereβs a look at what Google announced at Google Cloud Next β26.
Google CEO Sundar Pichai discusses the top announcements at Cloud Next 2026.
Youβve been told to follow a familiar set of rules for years: always use high-quality creative, keep your brand polished, stay scripted, and follow platform-recommended formats.
If youβve been in ad accounts lately or browsing feeds, you may have noticed something. Attention-grabbing ads donβt always follow those rules. Theyβre scrappier, less polished, and sometimes even called βugly ads.β The beauty is that theyβre coming out on top.
More brands are breaking best practices on purpose to stand out. After all, best practices are an average of what worked best for everyone else in the last six months, give or take. By the time a tactic becomes a platform-recommended rule, the edge has already been sanded off.
Thatβs why breaking best practices works β but only if you understand whatβs behind them.
Before getting into what to change, it helps to understand why the rules exist in the first place. Platforms like Meta and TikTok have a dual incentive:Β
The best practices they promote are designed to create a frictionless experience, pushing ads to look and behave like ads.Β
The problem is that what feels familiar eventually becomes invisible. When you follow the rules too closely, your ads blend into the background noise users have trained themselves to ignore.
High-production ads signal βthis is an adβ almost instantly, triggering a skip reflex before your hook lands. When your ad looks like something a friend might send, the brainβs defenses stay down just a bit longer, and that can be the difference between a scroll and a conversion.
Thatβs why many of the top-performing ads today donβt look polished or on-brand in the traditional sense. They interrupt patterns instead. Think:
To apply this, intentionally lower your production value and experiment with formats like point-of-view (POV) shots tailored to different personas.
Dig deeper: TikTok ad creative has a shorter shelf life. Hereβs how to keep up
Many brands have guidelines designed to make the company look faceless and invincible. They may not want to show a messy, lived-in office, a founder who hasnβt been professionally coached, or anything that breaks a tight, corporate script. But others are tossing that playbook and leaning into founder-led ads that arenβt the polished executive-profile version that was more common.
Thereβs a catch.
Rule-breaking only works if itβs authentic. If you fake it, the web will spot it in seconds, and it wonβt land the way you expect. We saw this play out in a viral series of videos where McDonaldβs CEO appeared in a promotional spot to introduce a new burger.Β
As highlighted in a Dineline video, the execution felt stiff and staged. The CEO carefully lifted the burger, looked into the camera, called it a βproduct,β and took a small bite from the edge. People online quickly pointed out that it didnβt look like he actually liked the food, so why should consumers?
Soon after, Burger King entered the conversation, and its president appeared in one of its kitchens holding a burger with a completely different tone. No hesitation, no corporate pauses β just a big, genuine bite.Β
The lesson is clear: One felt like a product presentation, and the other felt like a real moment.
If your leadership, your founder, and your team donβt look genuinely excited about what theyβre selling, your customers wonβt be either. Rule-breaking should give you the courage to be real, not just βunpolishedβ for the sake of it.
Youβve likely seen β and maybe used β a video hook best practice like βshow the product in the first two seconds and state the value prop clearly.β Sound familiar?Β
Your ad starts with a screenshot of a negative comment. Letβs say you have a skincare ad that opens with a text bubble: βThis probably smells like old socks, and does it even work?β Your founder then spends the next 15-20 seconds smiling, proving it wrong in an unscripted, unpolished way, while applying the product.
Using the platformβs native comment bubble and opening with conflict breaks your brandβs positive-association rule, but youβll gain attention by tapping into usersβ natural tendency to watch a digital argument.Β
By the time viewers realize itβs an ad, theyβve already heard your main points and may be on their way to trying the product. Effective advertising still relies on psychology, but now it requires understanding user behavior and how algorithms work.
Donβt delete all your polished assets just yet.
Breaking the rules is strategic. When it fails, itβs often because the β80/20 ruleβ gets overlooked.
Shifting your entire budget to shaky phone footage overnight isnβt the move. Maintain a baseline of about 80%, and use the remaining 20% to test new, unconventional ads. Standing out doesnβt mean producing bad advertising.
Give these a try in your next test campaign:
Best practices are a starting point, not a strategy. If youβre going to move beyond them, do it systematically.Β
Start with the rule, understand why it exists, ask whether it still applies, and then test the opposite in a structured way. Compare polished and lo-fi, scripted and unscripted, and brand voice and personal voice.
In a feed full of brands playing it safe, those who understand the rules β and how to break them intentionally β are the ones getting attention and conversions. Focus on learning faster than everyone else. Skip the guesswork.
Appleβs MacOS 27 will be Apple Silicon Only β claims leaker Appleβs next version of MacOS, MacOS 27, will reportedly launch without support for older Intel-based Macs. This makes the new version of MacOS the first to support only Apple Silicon devices, completing Appleβs transition to its own processors. MacOS 26 βTahoeβ will be the [β¦]
The post Apple to drop Intel CPU support with MacOS 27 appeared first on OC3D.
Google and WooCommerce announced today that the Google for WooCommerce extension now enables merchants to sell products directly through YouTube. The update connects WooCommerce stores to YouTube channels enabling them to tap into 2.7 billion shoppers. Merchants can tag products in videos and Shorts, where they appear as shoppable cards during playback and in a dedicated shopping tab on the channel. The cards are pulled from the merchantβs existing product catalog They stay synced automatically through Google Merchant Center The same data is reused across YouTube, Shopping, and ads Connect WooCommerce Stores To YouTube Shoppers WooCommerce is an open source [β¦]
The post WooCommerce Stores Can Now Sell Products Via YouTube Videos appeared first on Search Engine Journal.
The view that China-based CXMT's DRAM-related prowess is largely built on stolen IP from Samsung and other major memory players has gained a hefty patina of authenticity after a spate of troubling incidents of corporate espionage. The latest bout of comeuppance has now resulted in a 7-year prison sentence for a former Samsung employee, who was recently found guilty of leaking core DRAM tech to CXMT for $2 million. A former Samsung engineer is now heading to prison for leaking core DRAM tech to China's CXMT for $2 million Today, a court in Seoul has sentenced Jeon Mo, a former [β¦]
Read full article at https://wccftech.com/former-samsung-engineer-gets-7-years-in-prison-after-selling-core-dram-secrets-to-chinas-cxmt-for-2-million/
MSI demonstrated the DDR5 memory overclocking capabilities of its MEG X870E Unify-X MAX board with an upcoming BIOS while hinting at improved OC with future Ryzen CPUs. MSI's Newest X870E Unify-X MAX BIOS Pushes 128 GB 2-Rank DDR5 Memory To 9400 MT/s Speeds Toppc, MSI's in-house overclocker and engineer of the motherboard division, has once again showcased the OC capabilities of the latest AM5 MAX series motherboards. The overclocker used the brand new MSI MEG X870E Unify-X MAX motherboard, which is a top-of-the-line, enthusiast-grade design for overclockers and enthusiasts. The motherboard features a 2-DIMM layout for enhanced memory overclocking and [β¦]
Read full article at https://wccftech.com/msi-pushes-128-gb-ddr5-9400-mtps-on-x870e-unify-x-max-bigger-gains-next-gen-ryzen/
Nvidiaβs new DLSS SDK delivers 6x Frame Generation and Dynamic Frame Generation to game developers NVIDIA has officially released its DLSS 4.5 SDK, giving game developers direct access to the companyβs newest Super Resolution and Frame Generation technologies. With their newest update, developers have been given access to DLSS 5x and 6x Multi Frame Generation [β¦]
The post Nvidia launches its DLSS 4.5 SDK for game developers with 6x and Dynamic Frame Generation support appeared first on OC3D.
Microsoft cuts Call of Duty to slash Xbox Game Pass pricing Microsoft has unveiled a major price slash for Xbox Game Pass Ultimate and PC Game Pass. The monthly price of Xbox Game Pass Ultimate has been slashed from $29.99 to $22.99, and the price of PC Game Pass has dropped from $16.49 to $13.99. [β¦]
The post Xbox delivers major Xbox Game Pass price drop, but thereβs a trade-off appeared first on OC3D.
Following its delay from 2025, Bungie's Marathon launched last month on PC and PlayStation 5. While the game was generally well received, with our own David Carcasole awarding it a 9 out of 10 score in his review, the extraction shooter by the makers of Halo and Destiny did not manage to become a smashing success at launch, and its player base is continuing to contract despite Bungie providing solid support so far. However, for some reason, the game has become the most searched game on SteamDB since its launch. As spotted on Reddit by user Anihalation, Marathon has been [β¦]
Read full article at https://wccftech.com/marathon-steamdb-1-most-searched-arc-raiders-winning/
In the latest episode of the Broken Silicon podcast, leaker Moore's Law Is Dead claimed that the next Xbox console, codenamed Project Helix, could be as disruptive as Apple's new MacBook Neo due to its sheer value, which MLID likened to a two or even three-thousand-dollar gaming PC: Project Helix is basically a high-end PC, even using the same silicon as AMD's 70 or maybe 80 class RDNA5 GPU is. It isn't an ultra level of PC hardware, but still far more power than consoles usually have. It will have the biggest APU in console history. I think over 400 [β¦]
Read full article at https://wccftech.com/xbox-project-helix-3000-gaming-pc-value/
OpenAI has published a new patent in which it discloses an AI chip housing several compute chiplets, surrounded by a large number of HBM memory stacks. One Compute Chiplet, Several HBM Memory Stacks: This Could Be OpenAI's Future AI Chip Plans In a new patent titled "Non-Adjacent Connection of High-Bandwidth Memory Chiplets, I/O Chiplets, And Compute Chiplets Through Embedded Logic Bridges", OpenAI shares plans for an AI chip solution that is going to house several HBM chiplets and compute chiplets, all connected using Embedded Logic Bridges. The research proposes the idea of leveraging these embedded logic bridges for high-speed interconnects [β¦]
Read full article at https://wccftech.com/openai-patent-custom-ai-chip-hbm-memory-stacks-using-intel-emib-like-bridges/
Amidst constant news of price increases for gaming hardware and services, Microsoft did the unexpected yesterday by lowering the price of Xbox Game Pass Ultimate, which had become too expensive for too many players, according to Xbox head Asha Sharma, at the cost of new Call of Duty games that will only hit the service one year after their launch. Reportedly, this is only the beginning, as according to Windows Central's Jez Corden, Microsoft's long-term goal for its subscription service is flexibility. "Microsoft sources tell me that the longer-term goal for Xbox Game Pass is to make it more flexible," [β¦]
Read full article at https://wccftech.com/xbox-game-pass-ditch-netflix-model-pick-your-plan/
Zedly gets OpenClaw running on your machine in one session. It delivers a signed Docker container and an agent-assisted setup that configures LLM providers, model routing, and plugins, then installs Shield for PII redaction and audit logging. Run via a secure outbound tunnel with full local control on macOS, Windows, or Linux, and launch vetted workflows with backups and monitoring. Manage multiple instances with a fleet dashboard and schedule runs without touching your host OS.
EasyWill helps expats and investors create legally valid UAE wills fully online with official court registration. Users complete a guided questionnaire, and the platform generates a compliant will in their preferred language, with translation, notarization by the Abu Dhabi Judicial Department, and official filing.
EasyWill simplifies estate planning by letting users protect property, bank accounts, and business interests, appoint guardians and executors, and securely manage updates via a centralized dashboard. Transparent, all-inclusive pricing ensures clarity and peace of mind.
Samsung verifies its QD-OLED display lineup successfully in the QuantumView verification program, showcasing why its displays are the best. Samsung's QD-OLED Displays Receive Superior "QuantumView" Viewing Angle Performance Press Release: Samsung Display announced today that its QD-OLED panels for TVs and monitors have received verification from UL Solutions, a global leader in applied safety science, for their viewing angle performance under the βQuantumViewβ’β standard. βQuantumViewβ is a verification program that evaluates changes in luminance and color coordinates as the viewing angle shifts from the front in 10-degree increments up to 60 degrees. According to the assessment results, Samsung Displayβs QD-OLED [β¦]
Read full article at https://wccftech.com/samsung-quantumview-verification-shows-why-its-qd-oled-displays-are-the-best/
Over the past year or so, several game developers have started sharing thoughts on the potential benefits and downsides of using AI in game development. As with all things AI, the conversation is quite polarized at the moment: some have already embraced it, while others have sworn not to touch it with a tentpole, mainly for ethical reasons. Veteran industry executive Jack Buser sits firmly in the first camp. Buser, who worked at Dolby, then at Sony on PlayStation Home and PlayStation NOW, and finally at Google on Stadia first and as Google Cloud's Global Director for Games now, believes [β¦]
Read full article at https://wccftech.com/google-cloud-jack-buser-ai-iron-man-suit-games-industry/
Tesla has approached Samsung to expand its GDDR6 memory supply, which could lead to DRAM shortages for PlayStation 5 & Gaming GPUs. Sony PlayStation 6 & Many Current-Gen Gaming GPUs Rely on Samsung's GDDR6, But Tesla Is Now Going After The DRAM For Its Own Use Samsung is one of the leading manufacturers of the GDDR6 memory solution, which is primarily used in graphics applications such as GPUs, SoCs, and AI solutions. Although NVIDIA has moved to the GDDR7 standard, GDDR6 still makes up the bulk of the volume with several current-gen products leveraging the DRAM standard. Now, Samsung is [β¦]
Read full article at https://wccftech.com/gddr6-memory-demand-surge-bad-news-for-sonys-playstation-5-gaming-gpus/
SK Hynix has taken matters into its own hands to solve the HBM memory crisis by building a new production facility called "P&T7". SK Hynix's "P&T7" Facility Will Be Constructed By 2027, and All Production Lines Will Commence By 2028 Being built at the Cheongju Technopolis Industrial Complex, the P&T7 facility will take the key role in addressing the AI memory crisis, fulfilling the demand for HBM DRAM while also enabling WLP (Wafer-Level Packaging) lines. The announcement comes from SK Hynix in the form of a groundbreaking ceremony where 125 executives and employees took part. In his opening remarks, Byeonggi [β¦]
Read full article at https://wccftech.com/sk-hynix-answers-hbm-shortage-with-a-32-soccer-field-mega-fab-pt7-dedicated-to-hbm/
Wishwave lets you create and share wishlists for any occasion. Add gifts from any store to one list, then send a link so friends and family can reserve items without signing up, preventing duplicates and awkward returns. Track reservations, keep lists private until youβre ready, and use it free on any device. Find gifts for your events using our AI gift finder tool.
Kayphi is a customer engagement platform that deploys an AI chatbot trained on your knowledge base to handle conversations on your website and social channels. It captures leads, books meetings, and supports over 50 languages with optional voice. Launch in minutes by uploading documents and links, customize tone and actions, then track customer questions with conversation analytics and automate follow-ups through tags, webhooks, and CRM sync.
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Consumer & Server CPUs will face severe shortages, and are expected to see price hikes till the third quarter of 2026. AMD & Intel CPUs For Consumers & Servers Are Getting More Expensive, AI Is To Blame We have reported how the Agentic AI surge is resulting in demand shifting from GPUs to CPUs. This is now leading to shortages in both the consumer and server processor segments. In turn, CPU prices have seen a bump. In March, prices for consumer CPUs increased by 5-10%, while server CPU prices saw a more drastic bump of 10-20%, reports CTEE. But this [β¦]
Read full article at https://wccftech.com/amd-intel-consumer-cpu-prices-jump-10-percent-in-a-month/
Spot tomorrowβs science today.
Arena for scientific papers. LLMs judge which arXiv preprints have the highest scientific impact in fields such as artificial intelligence, machine learning, robotics, quantum physics, economics, and more.
StockCar turns your stocks, crypto, indices, and forex into a personalized audio briefing. It pulls current prices, fetches news, writes a GPT-powered script, then narrates it in a natural voice so you can listen like a real market show. Create portfolios, choose cohosts and theme music, and get episodes in under 10 seconds. Start free with daily tracks, then upgrade for more tracks, multiple portfolios, and extra voices on iOS.
Samsung's 1d DRAM (7th Gen 10nm) for next-generation HBM solutions might not undergo production soon due to failure to meet yields. Samsung's Next-Gen DRAM Tech For Future HBM5E Memory May Not Be Ready For Production A report published by Korean outlet, IT Chosun, suggests that due to less than ideal yields of its 1d "D1d" DRAM based on the 10nm process technology, Samsung might be pulling the plug on mass producing its next-gen HBM solutions. The DRAM technology had already received a pre-production approval (PRA), but concerns have been raised regarding the ROI of initiating a trial run, let alone [β¦]
Read full article at https://wccftech.com/samsung-postpones-hbm5e-memory-production-indefinitely-d1d-dram-yields-fall-short/
VenturOS gives you a full AI executive team grounded in your idea, product, or business. It turns your notes, repo, or docs into PRDs, 30β90 day operating plans, launch copy, distribution sequencing, OKRs, and decision memos with gated progression and clear priorities. Use it to go from blank page to execution in minutes while the team builds institutional memory, pressure-tests decisions, and keeps you from being the bottleneck.
Vaulternal offers encrypted, decentralized file storage with zero-knowledge privacy and smart triggers. Files are encrypted client-side and stored across multiple decentralized blockchains, including Polygon, removing single points of failure and preventing provider access. You can set time-based, inactivity, manual, or blockchain-event conditions to deliver files to chosen recipients, enabling controlled sharing and inheritance. Sign up with email or connect a wallet, manage multiple recipients, and rely on verifiable permanence and client-side decryption.
AI isnβt just changing search β itβs deciding which brands get ignored.
At Adobe Summit today, Andrew Warden, CMO of Semrush, argued that visibility has fundamentally changed β and that brands now risk being systematically filtered out by AI systems.
Because AI systems decide what to surface and what to ignore, brands now must compete for visibility in answers.
You can already see the shift in the data, as 60% of Google searches now end without a click to a website.
Users are still searching, but theyβre not always visiting websites. They get answers directly from AI systems like Google AI Overviews, ChatGPT, Perplexity, and others.
AI systems are becoming what Warden described as the βnew gatekeepers.β
This is part of a broader shift toward the agentic era β where AI systems act as intermediaries, guiding users through the entire journey from question to decision in a single interface.
At the same time, user behavior is changing. People are spending more time in conversational environments, asking follow-up questions, refining queries, and exploring options without leaving the interface.
The result is fewer clicks, but often higher-intent users. Consumers who use LLMs convert 4.4x higher than those using search alone, Warden said citing Semrush research.
Despite ongoing claims that AI will replace search, Warden pushed back.
Instead, SEO has become more foundational. Itβs no longer just about ranking pages β itβs about making sure your brand exists in the data layer that AI systems rely on.
That includes the fundamentals:
Without them, your brand wonβt show up.
Research supports this: 94% of Google AI Overviews cite at least one top organic result, reinforcing that traditional search signals still underpin AI outputs.
One of the session highlights was when Warden discussed what he called the βbland tax.β
That means content that feels generic or repetitive disappears.
AI systems donβt reward sameness. Instead of highlighting your brand, they summarize similar content into a single answer β often stripping away attribution entirely.
The consequences show up in three ways:
Warden reframed brand visibility as the combination of:
SEO ensures discoverability. Authority determines whether you show up in AI-generated answers.
Without authority, you risk becoming βa commodity that isnβt worth being mentioned.β
Warden outlined three areas that determine whether a brand shows up or gets filtered out.
AI systems map entities and relationships.
One key signal is brand demand.
Strong brands reinforce their authority across multiple surfaces β owned content, media coverage, and community conversations β making it clear what they stand for.
AI systems prioritize citing content that adds something new. So donβt just publish content. Contribute something meaningful.
That includes:
Original insights can boost visibility by 30 to 40%, according to Warden.
AI evaluates not just what you say β but what others say about you.
That includes:
Consistency across all of these creates what he called a βconsensus signalβ β a unified narrative that AI systems can trust.
One of the biggest challenges is organizational.
Today, responsibility is fragmented:
But no one owns visibility across AI systems.
This leads to inconsistent signals and missed opportunities.
To compete, companies need alignment across teams, with a shared strategy for how the brand shows up everywhere LLMs are pulling data from.
Meanwhile, traditional performance metrics are breaking down.
Warden described a pattern many marketers are seeing:
Warden said:
This creates a growing gap between impact and measurement.
The nature of competition has changed.
Authority is also harder to control than it used to be. It now depends heavily on external validation β what others say, not just what you publish.
That is one of the biggest changes in search since Google itself.
AI hasnβt changed what makes a brand strong, but it has changed how strength is measured and rewarded.
The brands that win will:
In this new environment, visibility must be earned across an ecosystem.
Or as Warden put it:
Global Sponsor Hub is a direct international hiring platform where employers post roles for mobility-minded candidates. Listings are clearly labeled for visa sponsorship, relocation support, or openness to global talent, so you can apply with confidence and track progress in one place. Employers reach candidates with intent and manage applications on the platform. When needed, you can use the partner directory of immigration lawyers and relocation specialists, plus curated external roles and timely guides.
Igloo generates cinematic short videos that stop the scroll for any niche. Type your topic, tone, and character, and Igloo writes the script, creates original photoreal visuals, and records documentary-style narration from an ElevenLabs voice library. You can regenerate the voice, character, or script until it fits. Each 40-60 second reel opens with a shot designed to stop a thumb and closes with a single takeaway. No stock footage or monotone AI voiceover. Export an MP4 in minutes for Instagram, TikTok, or YouTube Shorts.
AutoKap automates capturing and updating product screenshots, clips, and interactive demos for each release. Set it up with a CLI and let your AI code assistant create presets, run reliable capture flows, and embed always-fresh assets across docs, READMEs, and marketing pages. Use Studio to compose App Store images, OG cards, and branded mockups with real browser and device frames. Dev Links provide permanent URLs that auto-update, while the gallery, webhooks, and team features keep assets organized and ready to ship.
The testing tool is designed to help LinkdIn members select the best AI tool for their use case.
A recent study published in the Journal of Research on Adolescence found that teens who use apps regularly can struggle with word recognition and pronunciation.
A new lawsuit alleges that the company profited from scam advertising and intentionally allowed fake promotions to continue despite public promises to crack down.
The platform will now allow actors, athletes, creators, musicians and others to detect and request removal of deepfake images and videos.
The artificial intelligence-powered tool will now include elements to help marketers troubleshoot elements and obtain instant certifications.
ZenTimings is a Windows utility designed for AMD Ryzen platforms that displays real-time memory configuration data and timings, frequency, and Infinity Fabric clocks. It's primarily used to verify BIOS or XMP/EXPO settings, offering a straightforward way to check how system memory is running.
A user describes a business problem in plain English, connects their data, and Impulse handles data cleaning, feature engineering, model selection, training, deployment, and monitoring to produce a production-ready model and API in under an hour.
Veld Portfolio helps small landlords track rental portfolios and underwrite new deals in one clear view. Enter property, rent, expenses, and mortgage details once to see always-current equity, cash flow, cap rate, DSCR, LTV, and cash-on-cash returns across properties. Get live rent and value estimates from market data, model scenarios over 5, 10, or 20 years, and track amortization and payoffs. You can import or export via CSV and promote saved deal analyses into your portfolio, while skipping rent collection and accounting features.
LedgerDesk manages your clients, appointments, invoices, payments, and expenses on your computer, not on someone else's server. Pay once, use it forever. No subscription and no internet required.
Derek Andersenβs departure comes as the company undergoes layoffs and faces stagnant user growth ahead of the launch of its AR glasses.
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Additional features include premium stickers and ringtones, custom icons and new chat sorting options.
Digiday reports an early ChatGPT ads manager build now shows $3-$5 CPC bids for some pilot advertisers, as OpenAI continues expanding its ad tools.
The post ChatGPT Ads Now Offer CPC Bidding Between $3 And $5: Report appeared first on Search Engine Journal.
Apple has now entered a critical transition period, characterized by C-suite flux and internal strategy revamp, the likes of which have not been seen since Steve Jobs' shock departure in 2011. To calm some of the fraying nerves of investors and employees alike, Tim Cook is now out in full regalia, detailing his reasons for stepping down as CEO of Apple, effective from September 2026. Meanwhile, John Ternus, as the incoming CEO, is reportedly doubling down on AI as a panacea for internal productivity. Apple enters a period of C-suite flux and internal strategy revamp For the benefit of those [β¦]
Read full article at https://wccftech.com/tim-cook-explains-his-apple-exit-as-john-ternus-doubles-down-on-ai-in-internal-workflows/
About midway through the review period for Diablo IV: Lord of Hatred, Blizzard organized a roundtable Q&A with a few key developers from the team: Game Director Zaven Haroutunian, Production Director Barry Morales, Lead System Designer Colin Finer, and Senior Composer Ted Reedy. The team answered questions on various topics, from the narrative and setting to world design and the music score, new gameplay systems like War Plans and the Horadric Cube, and an overall assessment of the game's state ahead of its second expansion's upcoming launch. You can find the full transcript below. As a reminder, Diablo IV: Lord [β¦]
Read full article at https://wccftech.com/diablo-iv-lord-of-hatred-interview-ultimate-expression/
Framework has introduced its brand new Laptop 13 Pro, featuring LPCAMM2 support & powered by Intel Core Ultra Series 3 CPUs. Framework Unveils Its First Intel Core Ultra Series 3 Laptop, The Laptop 13 Pro, Powered By LPCAMM2 Memory Today at the Framework Next-Gen Event, Framework showcased a range of laptop updates, including its brand new Framework Laptop 13 Pro. The new laptop is built from the ground up, offering higher performance, higher battery life, and the same modularity that you'd expect from a Framework design. Starting with the specs, the Framework Laptop 13 Pro is powered by Intel's Core [β¦]
Read full article at https://wccftech.com/framework-laptop-13-pro-offers-a-fully-modular-design-features-lpcamm2-memory-intels-core-ultra-series-3-cpus-starting-at-1199-us/
NVIDIA CEO has said that while their company produces expensive AI hardware, they also produce the lowest cost tokens in the world. NVIDIA's Leadership in AI Is Not Only Because of Hardware, But It's full-stack approach that makes the "Lowest Cost Token" Possible Talking at Cadence Live 2026, NVIDIA CEO stated that they are the leaders of low-cost tokens because they produce the world's lowest-cost tokens. A token is the fundamental unit of AI; think of them like the ABCD of the AI language that AI models process to generate responses. The speed at which tokens are generated depends upon [β¦]
Read full article at https://wccftech.com/i-produce-the-lowest-cost-tokens-in-the-world-says-nvidia-ceo/
VibeReady is an AI-native Next.js starter kit that helps you ship a production-ready SaaS quickly. It pairs a structured, LLM-friendly architecture with context routing, living documentation, and quality gates so AI coding tools stay consistent across your codebase.
Choose the AI Framework to add agentic workflows to any stack, or the Full Kit with auth, billing, multi-tenancy, Stripe, Prisma, CI/CD, Terraform, and a working AI assistant. Deploy to GCP in minutes and get core features like dashboards, background jobs, analytics, and a super admin portal.
AIRIX scans your business across 16 AI platforms including ChatGPT, Gemini, Claude, and Perplexity, and tells you whether they recommend you or your competitors. Most businesses score under 10 out of 100 β they're nearly invisible to the 40% of consumers who now use AI instead of Google.
The free scan takes 5 seconds with no signup. Paid subscribers get weekly automated scans across all 16 platforms, competitor tracking, an authority audit covering Google Business Profile, Trustpilot, Reddit, YouTube, and Wikipedia, plus auto-generated Schema.org markup, optimized descriptions, and a public profile page. We build everything β you do nothing.
Google is upgrading Google Ads call campaign measurement with a new AI-qualified call leads feature, designed to optimize for lead quality β not just call length.
Whatβs new. AI-qualified call leads use machine learning to analyze calls and determine whether they represent meaningful business opportunities. The system then feeds that higher-quality data into bidding and reporting.
Zoom in. Advertisers will get AI-generated call summaries and tags, giving more transparency into what happened during each interaction. At the same time, smart bidding can prioritize higher-value leads based on these signals rather than simple time thresholds.
Why we care. Call campaigns have long relied on blunt metrics like duration to signal value. This update shifts optimization toward actual lead quality, filtering out low-value interactions like spam or robocalls. This should result in better ROI, less wasted spend, and clearer insight into which calls actually matter.
How it works. Call recording is turned on by default for most advertisers so AI can assess call quality, though industries like healthcare and financial services are excluded. Advertisers can still adjust call length thresholds or disable recording in account settings.
The fine print. The feature is currently limited to calls in the U.S. and Canada.
Bottom line. Google is turning call tracking into call qualification, helping advertisers focus on leads that are more likely to convert.
Intelβs Robert Hallock has confirmed that βmore and moreβ unlocked CPUs are coming In an interview with PC Games Hardware, Intelβs Robert Hallock has confirmed that big changes are coming to the companyβs enthusiast segment. In the future, overclocking Intel CPUs will no longer be exclusive to high-end models. Budget-friendly Intel overclocking is coming! Over [β¦]
The post A win for PC enthusiasts β Intel hints at budget CPU overclocking plans appeared first on OC3D.
Last year, Build a Rocket Boy released MindsEye, a game that was arguably the worst release of 2025 and one of the worst launches in video game history, something that the studio's leadership even acknowledged. But it didn't do so while bearing the full brunt of the blame. Studio leadership Mark Gerhard and Leslie Benzies have held that the game's poor launch was the result of internal and external corporate espionage and sabotage, which Benzies and Gerhard allegedly tried to combat by installing surveillance software on company devices. It's that attempt to spy on its own staff that has a [β¦]
Read full article at https://wccftech.com/unionized-mindseye-developers-take-legal-action-against-build-a-rocket-boy-management-for-spying-on-staff/
For half the price, the AMD Ryzen 7 9800X3D does a much better job at gaming than the new dual X3D edition Ryzen 9000X3D chip. Several Independent Tests Revealed Little to No Performance Gains in Gaming or Productivity With the $900 Ryzen 9 9950X3D2 Dual Edition Typically, almost every Ryzen generation brings some kind of performance uplifts, and even though we didn't see much growth in gaming performance going from Ryzen 7000 to 9000, the Zen 5 family did provide a helpful boost in productivity. On the other hand, the AMD Ryzen 9 9950XD2 Dual Edition is one of the [β¦]
Read full article at https://wccftech.com/amds-900-ryzen-9-9950x3d2-dual-edition-flops-in-reviews-losing-to-a-chip-half-its-price-in-gaming/
Fyrebox is a quiz maker that lets you create interactive quizzes for lead generation, education, and market research. Enter a topic and it can generate questions, answers, scoring, and matching visuals with AI, then embed your quiz on your site or share it on social media.
Fyrebox integrates with over 3000 apps to send captured leads and lets you redirect players to any page to drive action. Track real-time stats, export results to Excel, and view detailed reports on participants, time spent, and scores.
Opintok helps you reflect on what you read and connect with thoughtful readers. Capture private reflections on books and quotes, then share them when youβre ready. Discover daily curated passages selected by Aino and start book clubs to read with your circle.
Use AI-powered dialogue with Aino to deepen your understanding of the texts. Your reflections stay private by default. You can join from iOS (available on the store) or Android (early access only).
Weβve open-sourced the draft specification for DESIGN.md, so it can be used across any single tool or platform.
Since early access launched, millions of you have opted in to help shape Gemini for Home through your daily use and feedback. Today, weβre delivering on one of your top β¦
Introducing Deep Research and Deep Research Max, the next generation of Googleβs autonomous research agents.
Toei GamesEven as times and media evolve, our DNA remains unchanged.
Our unwavering desire: "deliver beloved stories to the world."
Having continuously created countless stories, Toei will now deliver them through games.
Toei Games will be an accomplice.
One who believes more than anyone in the unique, profound passion of creators who love and strive to create games.
Their driving force: "I love this," "I want to make this."
We want to deliver that to the world.
Robert HallockWhat you will see is more and more unlocked SKUs over time. That is the goal. That should not be a feature that is exclusively reserved for the people paying the most amount of money. Not everyone can afford the most amount of money...and that doesn't make them any less an enthusiastic than the person who can spend 500 USD on a CPU. They are still PC enthusiasts, and they deserve the same level of features, and that is what we intend to deliver in our roadmap.
After rumors coming from a leaked memo pointed to a price decrease coming to Xbox Game Pass, the company confirmed today that Xbox Game Pass Ultimate is officially getting cheaper, and will go down from its current rate of $29.99/month to $22.99/month. The PC Game Pass tier is also getting a price deduction, and will be down from $16.49/month to $13.99/month. What's more is that new Call of Duty games will no longer launch into the subscription service, and instead arrive "about a year later." The news was revealed in a short Xbox Wire blog post, which was followed up [β¦]
Read full article at https://wccftech.com/xbox-game-pass-ultimate-is-getting-cheaper-no-more-day-one-new-call-of-duty-games/
One of the best 14-inch M5 MacBook ProΒ configurations has become a better deal on Amazon because it is now $140 off for the 24GB unified RAM paired with a 1TB PCIe NVMe Gen 4 SSD. In addition to upgraded CPU and GPU performance, buyers wonβt have to worry about running a boatload of tasks or filling up the local storage with a plethora of programs. In short, youβre in safe hands, and with the latest discount, the portable Mac is down to $1,759 on the online retailer. The M5 running in the 14-inch MacBook Pro is the unbinned part offering [β¦]
Read full article at https://wccftech.com/m5-macbook-pro-now-140-off-on-amazon-with-24gb-ram-and-1tb-ssd/
Diablo IV: Lord of Hatred lands almost three years after the launch of the base game. As you may recall, Blizzard initially committed to annual expansions, which they almost accomplished with the first one, Vessel of Hatred, launched sixteen months after Diablo IV. However, it later became clear that delivering high-quality expansions on an annual basis was impossible, especially as the developers were also busy with making seasonal content. Thus, Lord of Hatred launches a year and a half after the previous expansion, which seems to be the sweet spot in terms of development time. Ultimately, though, what matters is [β¦]
Read full article at https://wccftech.com/review/diablo-iv-lord-of-hatred/
Today, NC America confirmed that the MMORPG AION 2 will launch later this year globally, following its original debut in South Korea on November 19, 2025. That version was made for mobile and accessible on PC only via NC's own Purple launcher. However, the global version has been built specifically for PC, according to the new press release, and it will also be distributed via Steam. In fact, you can already wishlist the game on Valve's store. The global servers will be hosted locally in North America, South America, Europe, and Japan, providing a latency-conscious gameplay experience for many users. [β¦]
Read full article at https://wccftech.com/aion-2-global-steam-2026-pc/
Smart TVs with traditional LEDs wonβt blow a hole through your wallet, but as soon as you decide that you want to upgrade your experience in both size and picture quality, thatβs when your intended budget suddenly appears small, especially in the case of looking for a mini-LED TV. Thankfully, Hisenseβs 85QD7QF 4K smart TV with the aforementioned upgraded technology is priced like itβs meant for everybody, with Amazon removing $100 from the total to bring the figure down to $699.99. Now this is an offer that the majority of buyers can get behind. The Hisense 85-inch 4K smart TV [β¦]
Read full article at https://wccftech.com/hisense-85-inch-mini-led-4k-smart-tv-available-for-700-on-amazon/
Last year at Gamescom 2025, a new Advanced Shader Delivery feature was unveiled by Microsoft's DirectX team that would arrive first on the ROG Xbox Ally and ROG Xbox Ally X handhelds that launched in October 2025. The new feature was co-developed by Xbox and AMD, and is meant to tackle shader stuttering. Now, as seemingly spotted by tech programmer at MADFINGER Games, Ondrej HruΕ‘ovskΓ½, the feature's implementation into Unreal Engine 5 is "in progress." HruΕ‘ovskΓ½ shared a screenshot of the code commitment to X (formerly Twitter), which you can see below. Shader compilation stuttering has long been an issue [β¦]
Read full article at https://wccftech.com/unreal-engine-5-implementation-microsoft-directx12-advanced-shader-deliver-in-progress/
Three new agentic safety and policy features integrated into Ads Advisor will help protect and streamline your Google Ads account.
The industry has been building top-down for 30 years. Start with awareness, get in front of as many people as possible, and work them down through the acquisition funnel.
The logic made sense in the broadcast era, and it wasnβt entirely wrong in the search era.
In AI-driven environments, itβs simply wrong.
Search engines, assistive engines, and agents build their ability to recommend your brand from the bottom up. They need to understand who you are before they can evaluate whether youβre credible. They need to evaluate your credibility before they recommend you to anyone.
If you build from the top down, youβre wasting budget on awareness while the engines and agents have no foundation to attach it to.
Agential systems make the stakes absolute. An agent acting on behalf of a user evaluates your brand, your offers, and your credibility, then commits.
If the machine doesnβt understand who you are, what you offer, and whom you serve, the agent canβt act in your favor. If it understands you but doesnβt find you the most credible option, it selects your competitor.
This is the ultimate zero-sum moment in AI: the recommendation you never saw happening, to the prospect you never knew was considering.
The user experience of the acquisition funnel hasnβt changed. Someone hears about you, considers you, and decides whether to commit. That journey runs wide to narrow, top to bottom: awareness first, evaluation second, and decision at the bottom.
This is the familiar funnel. Elias St. Elmo Lewis formalized it in 1898. Every marketing model since has been built around it, and for 128 years, nothing fundamental has changed. The channels evolved, but the direction was always the same: reach first, relationship second, commitment third.Β
In 2002, my friend Philippe Lanceleur described the web perfectly for search: building a website and hoping people find it is like opening a shop in the middle of a field. Nobody passes by accident. You go where your audience hangs out, engage with them, and invite them to cross the field and visit your shop. Awareness was still the prerequisite, and your marketing had no chance of working without it.
The shift to entities changed the prerequisite. When Google introduced the Knowledge Graph in 2012, the machine began forming opinions about brands independently of what users were searching. The machine was drawing its own map and building roads for you.Β
Those machine-built roads are built from the shop outwards by the machines, which means brand understanding and reputation, not awareness, become the prerequisite. All my work since 2012 has been focused on brand understanding and reputation for exactly this reason.
AI makes the acquisition funnel flip more powerful still. Assistive engines and agents now actively direct users toward destinations theyβve assessed as credible. Lanceleurβs shop in the field is no longer a handicap if the machines know itβs there and believe itβs the best destination for their users: they provide the roads.
This is the first genuine structural break in how brands must think about marketing since 1898. The display funnel is unchanged: the user still travels from awareness to decision. What makes you a candidate at the top of that funnel in AI engines and agents is built by training the machine to bring users to you.
The big takeaway is that the build funnel runs in the opposite direction.Β
The moment of commitment by the user stays the same: know-like-trust the brand, but the only way for the user to arrive at that moment in AI assistive engines is that the machine knows, likes, and trusts your brand.
The coexistence of the bi-directional funnel is real. You can build top-down in channels you control: paid media, broadcast, and direct outreach. You can still buy awareness and pull people to decision. In the engines themselves, the user still has the top-down experience.Β
The difference is that within the engines for organic, you have to build from the bottom of the funnel (BOFU) up because thatβs how the machines build the roads to your brand.
Every algorithm, assistive engine, and agent operates on entity and brand signals, not on how loudly you push. Reach on social media has always been influenced by brand recognition, engagement, and topic, and here too, brand understanding and trust are gaining increasing weight.
With AI, roads to your shop in the field are increasingly machine-built, and machine-built roads are built from brand understanding outwards to awareness.
The original 1898 funnel still describes what users experience. In AI assistive engines and agents, it no longer describes the strategy that gets you in front of them: for that, you need to flip the funnel.
In short, you canβt build your funnel in AI engines and agents top-down in a world where those machines are the mediators between you and your audience. The machine wonβt recommend brands it doesnβt understand, and it will only advocate for brands it trusts. This is a mechanical fact.
AI infrastructure works like this, so you also must.Β
Foundation. Proof. Reach. Put like that, it really does seem obvious, unavoidable, and comfortable.
The user journey on Google used to be a series of single-composed SERPs that users navigated themselves. Search engines composed those pages cleverly (Google and Bing have run a whole page algorithm since universal search launched in 2007, Darwinistically pulling elements from across verticals and scoring the composition as the βproductβ), but the navigation across the funnel was the userβs job.
As an SEO, you optimized for a position in the composition, and the user carried themselves from awareness to consideration to decision by browsing, comparing, and choosing.
Over the last few years, the algorithmic trinity has fundamentally changed that dynamic. The LLM reasons about what the user is asking, decides whether to answer directly, ground, search, or fact-check via the knowledge graph, and runs fan-out queries to retrieve across multiple angles of the question.
Those fan-out queries (which Iβve also called cascading queries) help the assistive engine answer the question more completely and more accurately than a single query would. But the breadth of what it gathers also lets it do one more thing β and this is the mechanic that actually matters in the funnel that leads to the perfect click: it can anticipate what the user is likely to do next, and set the current answer up to flow toward it.
The explicit representation of the LLMβs prediction of βnext stepβ is the follow-up questions you see in the results. But thereβs an additional implicit side to this architecture you might have missed: the way it composes the current answer shapes what the user is likely to do next. The AI is, to a very large extent, defining the acquisition journey. It seems to me the user is less in control than they feel.
That means your job appears to be to fight for a slot in a sequence the machine has already built.
Thatβs fair. But Iβd argue that the brandβs job is also to train the machineβs expectations about what a logical next step looks like, so that when the LLM composes, your content is the natural thing it reaches for.Β
You supply the ideas, you structure the follow-ups, you publish the logical bridges (βif youβre thinking about X, the next thing to consider is Y, and hereβs the evidenceβ) in enough places, and with enough corroboration, that the machine treats those bridges as settled, not speculative. The machine then guides users toward you because your content is what its prediction landed on, because your framing is what made that prediction logical in the first place.
Now, is the AI thinking one step ahead? Or playing chess and planning several moves in advance? It depends. How far ahead the machine can usefully look depends on the territory.Β
On well-traveled ground, the paths are well-worn, and the branches are narrow, so the LLM can stage two, three, or more moves ahead. Think of this as established neurological synapses: your influence on the paths is limited here.Β
In unusual territory, the branches collapse the prediction horizon back to one, perhaps two steps. Thatβs an opportunity for a brand to create the synapses with your brand firmly anchored. Hereβs yet another good reason to niche down, solve very specific problems, and have a very clear funnel pathway.
When defining the content I work on and terms I track, I use the concept of funnel pathway for exactly that reason β a top-of-funnel (TOFU) query that naturally leads to my brand at BOFU with a series of steps that are logical and relatively predictable.
So, track a set of terms that have a natural pathway to your brand at the zero-sum moment at the bottom of the funnel. Some start at TOFU and move through MOFU to BOFU. Others begin at MOFU with a clear path to BOFU, and some start (and end) at BOFU.
Iβll probably get pushback here. The number of possible paths is effectively infinite because conversations with AI can go anywhere. True. But this is a better system than chasing search volume or tracking the terms the boss likes: it forces you to think, focus, and prioritize β and it works.
Strategically, you have to get a foot in the door as early as possible in the conversation, and ensure that you keep your foot there as the conversation evolves and the AI guides the user down the funnel.
The stronger your foot in the door, the more you shape the conversation the machine builds, the more that conversation thins the field of competitors the machine considers for the next step, and, by virtue of elimination, the more likely you are to get the perfect click at the zero-sum moment at the bottom of the funnel.
Iβm advocating for educating the algorithms (remember, Google is a child?). The better you guide, the more the machineβs best-brand prediction converges on you step after step, because the path itβs following is the path you built into its brain.Β
Get in high, and the compounding works in your favor. Get in late, and your competitorsβ bridges become the machineβs bridges, and every subsequent step is a fight to re-enter a sequence where your competitor is Top of Algorithmic Mind.
The AI engine pipeline runs 10 gates from discovered to won.Β
Display is the moment when the machine can make or break your brand by being the most visible in the market at every touchpoint when your ideal customer profile (ICP) is having a conversation with the engine or agent.Β
Itβs obvious that this is the key moment when you need the engine or agent to be absolutely convinced that youβre the best solution to the specific userβs problem at the exact moment they convert (see the 95/5 rule here).
Understandability (U) is the trusted partner/decision layer, without which nothing else will work long term. Does the machine know who you are, what you do, and who you do it for?Β
U is BOFU, which is both the moment of decision and (logically) the deepest trust layer for both the AI user and the human user. When someone searches your brand name or asks an AI assistant directly about you, the machine draws on its understanding of your entity.Β
If that understanding is weak, contradictory, or absent, the machine either hedges or stays silent. Typical failure modes show up in AI responses as βclaims to be,β βappears to offer,β or βno idea who you are talking about.β The doubt tax β where prospects ready to buy get a hedge instead of a confirmation β is a U failure.
Credibility (C) is the recommender/consideration layer. Does the AI believe youβre genuinely better than your competitors at what you do?Β
C is MOFU, the comparison and evaluation layer. When someone asks an AI who is the best in market, the machine draws on its confidence in your N-E-E-A-T-T credibility and will exclude you if you havenβt built a rock-solid argument to be cited.Β
If AI confidence in you is weaker than its confidence in the credibility of your competitor, you lose the comparison. The ghost tax β absent from competitive evaluation and ignored in shortlists β is a C failure.
Deliverability (D) is the advocate/awareness layer. Does the AI surface your brand to people who arenβt searching for you, recommend you unprompted when they research the market, and treat you as the reference option in your category?Β
D is TOFU, the reach layer. When someone asks an AI about a problem, you solve without knowing your brand exists, the machine draws on its confidence that you are the right answer to put in front of them.Β
Advocacy only happens when the machine has first understood who you are (U), and judged you better than the alternatives (C). The invisibility tax β never mentioned to prospects researching the market β is a D failure.
My untrained salesforce framing is super clear for a non-technical audience. Google, ChatGPT, Perplexity, Claude, Copilot, Siri, and Alexa are seven employees working 24/7, and theyβre either selling for your brand or for your competitors. AAO can be defined as training AI assistive engines and agents to sell for you at the top, middle, and bottom of the funnel.
Hereβs the part most of the industry still hasnβt internalized: machines arenβt an alternative audience. Theyβre a mirror of how people process information, with the noise filtered out.Β
Optimizing for machines is optimizing for humans with less guesswork. A brand SERP is Googleβs opinion of the worldβs opinion of you, and Googleβs opinion is built from the same signals that form human opinion, only weighted more consistently, and corroborated across millions of data points.Β
When you optimize to improve what Google believes about your brand, youβre not gaming an algorithm. Youβre correcting and reinforcing what the world already believes about you, expressed with the precision humans rarely articulate. The algorithm is the clearest feedback loop marketing has ever had.Β
Each tax is a specific failure mode of that untrained salesforce.Β
The fixes run in one order: U before C, C before D, because the taxes are mechanically ordered, and the remediation has to match.
Content was king in the keyword era, context took the throne around 2016, and confidence is king now. The AI engines donβt just store and retrieve. They stake their own credibility on the brands they recommend, and that staking runs on accumulated confidence at every layer.Β
Build U to retire the doubt tax. Build C to retire the ghost tax. Build D to retire the invisibility tax. Every tax retired is a recommendation earned, and every recommendation earned is revenue the machine now generates on your behalf instead of your competitorβs.Β
Brand SERP is what Google shows when someone searches your brand name. The AI rΓ©sumΓ© is the same object in conversational format. The agent dossier is the machineβs silent judgment during evaluation before any recommendation reaches a person.Β
All three are dual-function objects. Theyβre the machineβs output to every audience that asks about you, and your diagnostic instrument for reading the machineβs current confidence. That dual function is why theyβre both the product and the audit.
Read all three as the machineβs understanding of you, its assessment of your credibility, and its confidence in you as a solution provider. The diagnostic triage is short.
If the machine gets things wrong, hedges facts, or the results donβt reflect your brand narrative, thatβs an understandability problem. The entity record is inconsistent, weak, or contradictory, and the work is on your entity home: clean structured data, consistent descriptions, clear schema, and entity resolution that points to a single authoritative source.
If the results are unconvincing, unflattering, or donβt do you full justice, thatβs a credibility problem. Your N-E-E-A-T-T is weak, and the work is offsite: third-party mentions, review platforms, earned media, and co-citations from sources the machine trusts.
If the results donβt reflect your digital marketing strategy, thatβs a deliverability issue. The work is in content, both on your channels and on third-party properties, the type of material the machine treats as proof rather than a claim.
In every case, the diagnosis comes before the tactics. U before C, C before D, and the sequence isnβt optional.
The acquisition funnel feels dominant because itβs where conversion happens. The funnel sits on the display gate, where UCD determines whether the machine recommends you.Β
Everything else, the work that lets display happen at all and the work that compounds afterward, runs across the nine gates before it and the five gates after it.
Those five gates after Won are where most of the money is made and most of the confidence is generated. Onboarded, performed, integrated, devoted, and codified β every client outcome feeds signals back into gate zero for the next prospect who has never heard of you.Β
The flywheel is the mechanism. Get it right, and every satisfied client strengthens the machineβs confidence in your brand for the next one. Get it wrong, and every neutral outcome decays it.
Thatβs more than just an acquisition strategy; itβs a business strategy, with the machine as a constant participant at every stage.
The final articles in this series will show you what happens after won: how every satisfied client either trains the machine to recommend you more confidently next time, or quietly erodes the confidence youβve already built.Β
The funnel isnβt where the money is made, but it is the critical moment the flywheel feeds where the path to money is.
This is the 10th piece in my AI authority series.Β
Google is adding three new βagenticβ safety features to Ads Advisor, its AI assistant inside Google Ads, aimed at reducing manual work while tightening security and compliance.
As campaigns grow more complex, advertisers are spending more time fixing policy issues, managing access, and handling certifications. Googleβs pitch: let AI handle the heavy lifting so marketers can focus on performance.
Whatβs new. The update introduces proactive troubleshooting, always-on security monitoring, and instant certifications β all powered by AI and Gemini capabilities.
Zoom in:
How it works. Instead of waiting for user prompts, Ads Advisor scans accounts and websites proactively, suggests fixes, and confirms resolution before appeals are submitted. On the security side, it continuously evaluates account health and recommends improvements, while new passkey support reduces reliance on passwords.
Why we care. Tasks that used to take hours β fixing policy issues, monitoring account security, and handling certifications β can now be done proactively by Ads Advisor, reducing delays and aims to reduce risks. The result is faster campaign execution, fewer disruptions, and less manual overhead.
What to watch. These features are rolling out in the coming months to English-language accounts, with more languages expected later.
Bottom line. Google is turning Ads Advisor into a hands-on operator, not just a helper β aiming to make ad accounts safer, faster, and far less manual to manage.
Creating video content takes time and budget, so understanding how it performs is critical.
YouTubeβs native analytics in YouTube Studio are robust, but theyβre locked behind account access. That can make reporting difficult β especially when you need to share data or donβt have direct login access.
Moving that data into Google Data Studio (formerly Looker Studio) makes it easier to analyze and distribute.
With Data Studio, you can:
Hereβs how to pull your YouTube analytics into a Data Studio report.
You have two options when setting up a YouTube report in Data Studio.
The information below will help you do both.
The SEO toolkit you know, plus the AI visibility data you need.
If youβre setting up this report for a client, or if youβre not the owner of the YouTube account, youβre going to run into an issue where the YouTube account doesnβt show up as a usable source in Data Studio. Hereβs how to get around it:
You should now have access to that YouTube account.
From the Data Studio home page, click Templates > Template Gallery. Under the category dropdown, click on YouTube Analytics.
Clicking this will create a brand new Data Studio report thatβs mostly ready to use. It loads up with sample data from the Google Analytics YouTube channel. Click the button at the top that says βUse my own data.β
The first time you set up a report, you need to authorize access to your data. Click the Authorize button.
Choose the Google Account connected to your YouTube channel, and then youβll see any connected channels in the dropdown at the top of the page.
Youβll notice that the data doesnβt change when you select a site here. Thatβs because this dropdown is connected only to the other dropdowns next to it, not any of the charts on the page.
To update everything else on the page, click the Edit and Share button.
If this is the first time using Data Studio, youβll also need to do some basic account setup.
Then click the Edit button at the top of the page.
Now youβll need to add your YouTube channel as a source. Click the Add data button and then search for the YouTube Analytics connector.
If the Google Account is the owner of the YouTube account you connected to this Data Studio report, itβll show up in the Channel section as an option.Β
Your main YouTube channel will be in the My Channel tab, and other channels are in the All Channels tab, as shown below.Β
If you donβt own the channel, see the section above to connect other channels that you donβt own, but have access to.
Now youβll be able to change the data source on any charts on the page. Simply click a chart, and youβll see the data sources available to you in the right Properties panel.
You can change the source of all of the charts on the page by selecting a chart, right-clicking on it, going to the Select menu, and then choosing βCharts with this data source on pageβ and then choosing your data source in the Properties sidebar.
Youβre mostly done, but as mentioned earlier, there are some errors in this report that youβll need to fix. The charts at the bottom of the report are using the wrong metrics.
I donβt know why Google hasnβt updated this template. Itβs been like this for a long time, so I donβt know if they ever will. In the meantime, youβll need to update the following.
Change:
The charts in the Comments section are correct, so you donβt need to change anything there.
Click on each of the charts highlighted above, one by one, and change the metric in the Properties sidebar.
And now the report is finished and ready to use. Click the View button at the top of the page to view the report in a view-only format.
Data Studio doesnβt support the ability to add or import templates into an existing report, but you can copy a page from one report to another. Follow the steps above to create a report using the YouTube Analytics Channel template, then copy it into another report.
To do that, go into Edit mode, select all (Ctrl+A or Cmd+A), and copy all (Ctrl+C or Cmd+C). Then, in your existing report, create a new page, and paste everything youβve copied into the page (Ctrl+V or Cmd+V), or right-click on the page and select Paste.
All of the charts will likely come in broken, but you can easily update them using the tip mentioned earlier β right-clicking a chart, choosing Charts with this data source on page, and then choosing the correct source in the Properties sidebar.
The YouTube template in Data Studio has most of what you need, but you can add much more.
There are some metrics you simply canβt get in Data Studio that youβd find in the official YouTube Analytics backend, such as revenue, how viewers find your videos, watch behavior, popular viewing times, device types, genders, and retention, so there are some big limitations, but thereβs still plenty to work with.
To add more charts to your report, youβll need to create more space at the bottom. In the menu, click on Page > Current page settings.
In the Style tab of the Current Page Settings sidebar, set the canvas size to something like 3,000 pixels. This will give you plenty of space to work with, and you can always shorten or lengthen it as needed later.
Now you can add many types of charts with a wide range of dimensions and metrics.
You can add multiple metrics to graphs to get the data you need for better analysis. You can also rename headers to clean them up, and make them look less cluttered.
You can pull in quite a lot of data. Hereβs whatβs currently offered:
Setting up a Data Studio report for YouTube is a great way to track your top-level metrics, and can be especially useful for monthly client reporting. It takes siloed, hard-to-share data from YouTube, and puts it into a clean, automated, centralized tool for easier decision-making.
You can also set up scheduling so that Data Studio sends automated PDF exports to your email.
Thatβs it. As you can see, itβs fairly simple to set up, but you can also add more advanced customizations to track many other KPIs.
Google Ads now enables call recording by default for eligible AI-qualified call leads, changing how call conversions are evaluated in the U.S. and Canada.
The post Google Ads Makes Call Recording Default For AI Lead Calls appeared first on Search Engine Journal.
Xbox βProject Helixβ is looking more PC-like by the day According to a post by the prominent leaker KeplerL2 (via WCCFTECH), Microsoft will allow 3rd parties to build custom Xbox βProject Helixβ machines. These systems will be available alongside official Microsoft consoles. This opens the door to ASUS ROG Xbox consoles, MSI consoles, and Xbox [β¦]
The post Custom Xbox βProject Helixβ systems will be made by MSI and ASUS ROG β leaker claims appeared first on OC3D.
[Update - April 22, 5:26 AM] Other users and insiders have now commented on Tifa coming to Street Fighter 6 in the future. Known FGC YouTuber Rooflemonger commented that they have known about Tifa and Vega coming to the game for some time, but are unsure about Gouken and Haggar. ResetERA user LeytonWright, who supposedly has some connections at Square Enix, also said that the Final Fantasy VII character is indeed coming to the CAPCOM fighting game. Original story follows. [Original Story] With Ingrid coming soon to Street Fighter 6 as the final Year 3 character, many have started to [β¦]
Read full article at https://wccftech.com/street-fighter-6-year-4-leak-tifa-lockheart/
Apple's seemingly limitless splurge on mobile DRAM is now producing real-world consequences. Despite its best efforts to paper over the emerging flaws in its strategy, the Cupertino-based tech giant is now being forced to pinch pennies by severely downgrading the base iPhone 18 model, as per a new analysis published by SchrΓΆdinger Intel. Apple's upcoming base iPhone 18 might get an enhanced version of the M12 display tech that debuted back in 2023 We reported yesterday that the base iPhone 18, which is slated to launch in the spring of 2027 alongside the iPhone 18e and the iPhone Air 2, [β¦]
Read full article at https://wccftech.com/apple-to-downgrade-the-base-iphone-18-with-m12-display-tech-from-2023-to-fund-pro-tier-flagships/
Ubisoft's chief executive officer, Yves Guillemot, personally confirmed back in 2024 that "players can be excited about some remakes, which will allow us to revisit some of the games we've created in the past and modernize them." Now, the first of those remakes is almost here with Assassin's Creed Black Flag Resynced, and according to a new report, the rest of the remakes players might hope to see follow Black Flag won't make it out to store shelves if Black Flag doesn't fly off those same walls. According to Insider-Gaming, who has been part of why Assassin's Creed Black Flag [β¦]
Read full article at https://wccftech.com/assassins-creed-remakes-depend-on-black-flag-resynced-success/
Nscale will be adding 30,000 NVIDIA Rubin GPUs in addition to the 100,000 chips that are already being deployed at its facilities in 2027. Nscale Scales Up Its AI Datacenters With 30,000 Additional NVIDIA Rubin GPUs, Bringing The Total Count To 130,000 NVIDIA's Vera Rubin AI chips are hot in demand, and the reason behind this is simple: they are aiming to be the fastest solution for AI inferencing, fueling the race towards Agentic AI. Josh Payne, Founder and CEO at Nscale said:Β βCustomer demand for advanced AI infrastructure continues to accelerate across markets, and our focus is on bringing the [β¦]
Read full article at https://wccftech.com/130000-nvidia-rubin-gpus-deployed-at-nscale-for-microsoft-showing-massive-interest-in-next-gen-ai-chips/
A little less than a year ago from the time of this writing, Nintendo announced Splatoon Raiders, a single-player-focused spin-off of the popular multiplayer series. It was seemingly the natural next step from the single-player campaigns available in the mainline entries players had already enjoyed, and today, through the Nintendo Today! app, Nintendo revealed that it'll be arriving exclusively for Nintendo Switch 2 later this year on July 23, 2026. The release date reveal came at the tail end of a new gameplay trailer that showed off plenty of combat and the world players will get to explore with a [β¦]
Read full article at https://wccftech.com/splatoon-raiders-release-date-nintendo-switch-2-exclusive/
InsideBnB delivers real-time market research for short-term rental hosts and real estate investors. Instead of using complex spreadsheets, you can paste any property link to generate instant revenue projections, cap rates, and a definitive 'BUY/HOLD/AVOID' verdict based on 24 months of historical data. The platform features interactive map tools to visualize market activity down to the ZIP code, analyze ADR, occupancy, and RevPAR, benchmark your competitors, and spot high-yield neighborhoods before acquiring a new asset.
BeyondBudget is a forward-looking budget planner that simulates your finances months and years ahead. Instead of tracking what you already spent, you build a detailed model of your income, expenses, and debt. Then see exactly how your cash, debt balances, and savings change over time. It supports avalanche and snowball debt payoff, calculates how much extra money you have each month for debt or savings, and maintains a safety buffer in your checking accounts. You can model multiple checking and savings accounts, a business account, rewards credit cards, seasonal expenses, and year-over-year cost increases. It's a full simulation of your financial life, not just a spending tracker.
Leon Smith, the 2026 National Teacher of the Year, reflects on his visit to Googleβs campus in California.
Search has changed, and brands need to catch up fast, according to IBMβs Alexis Zamkow (global lead of Marketing Transformation solutions) and Sandhya Ranganathan Iyer (associate partner β AI), speaking yesterday at Adobe Summit.
AI tools donβt just help people search. They answer questions, compare products, and recommend brands. In many cases, users never even visit a website.
That means if your brand isnβt part of the AI-generated answer, you may not be part of the decision.
To keep up, brands need more than new tactics. They need a system β a GEO (Generative Engine Optimization) playbook. Hereβs a recap of their presentation, Adapt or Disappear: How Brands Win with AI-Powered Search.
AI agents now sit between you and your customer.
They take a complex market and simplify it. They decide what information to show. And they often speak on your behalf.
At the same time:
Zamkow said an estimated 75% of search visibility could shift to AI agents in the next two years.
Thatβs why visibility today depends on being part of the answer itself.
To respond, the speakers outlined a 12-part playbook. It spans content, technology, and operations.
Your content must tell one clear story β everywhere.
That includes your website, PR, social, and third-party mentions. If each channel says something different, AI wonβt trust your brand.
For example, if your site highlights premium quality, but reviews focus on low price, that mixed message weakens your authority.
Consistency builds trust for people and machines.
AI doesnβt rank webpages. It extracts answers. So your content must be easy to extract.
Good content looks like:
For example, instead of a long paragraph, write:
This makes it easier for AI to reuse your content in answers.
Even great content wonβt work if AI canβt read it.
Machines rely on:
One example from the session: a beautiful website appeared to AI as βa headline and a blank page.β
If your content isnβt readable, it wonβt be used.
Start with your own site.
If your internal search β especially AI-powered search β works well, youβre already ahead.
Think of it this way: If your own system canβt find answers on your site, external AI tools wonβt either
Strong internal search helps train your content for external visibility.
In GEO, the goal isnβt just to be mentioned. Itβs to be cited.
AI looks for signals like:
Zamkow called citations the βholy grailβ of visibility.
AI tools pull content from many places and combine it.
To be included, your content must be:
If your content is hard to break apart, AI will skip it and use something else.
Your website is no longer your main source of visibility.
That includes:
This means your PR and social teams are now critical to search success.
Your brand lives across the internet β not just on your site.
Old metrics donβt tell the full story anymore.
Instead of just tracking clicks, you need to track:
The key question changes from βDid we get traffic?β to βDid AI recommend us?β
Consistency doesnβt happen by accident. Teams need clear rules for:
Without SOPs, different teams will create different formats. That confuses AI and weakens your visibility.
Search is now conversational.
While people still type keywords, they are increasingly describing their needs using more conversational language. For example:
Your content needs to match these types of questions.
That means thinking like the user β and writing like the answer.
This shift affects the whole organization.
Marketing, IT, PR, and product teams all play a role.
That means:
This is bigger than just a marketing update. Itβs a company-wide change.
GEO is never finished.
AI systems change constantly. Competitors update content. Rankings shift fast.
To keep up, brands need:
If your content becomes outdated, you can quickly lose your position in AI answers.
The GEO playbook reflects a larger change in how marketing works:
The focus has shifted to building a system that consistently feeds AI the right information.
This shift is already reaching the top of the organization.
In one example, a product leader asked why their brand didnβt show up in an AI recommendation. The issue quickly escalated beyond marketing.
As AI becomes the front door to discovery, every leader will care about visibility.
AI is already shaping how people discover and choose brands.
Consumers trust it. Businesses are using it. And itβs growing fast.
Brands that build and follow a clear GEO playbook β across all 12 components β will stay visible.
Everyone else risks being left out of the answer.
Picture this: Your company relies on Data Studio for SEO reporting.Β
Itβs right before your next big meeting when youβre planning to present resultsβ¦ but Data Studio has an outage (again) and suddenly you have nothing to show.Β
Thatβs embarrassing. And it happens more than it should.
It wasnβt even a year ago that I touted the benefits of Looker Studio (now Data Studio) for SEO reporting. Now the platform feels archaic compared to the agentic coding tools available today.Β Β
Hereβs how rigid SEO dashboards like those produced in Data Studio are holding you back and why code-driven SEO reporting is the only way to remain efficient and competitive.
In the not-too-distant past, Data Studio was considered one of the best ways to customize SEO reporting.Β
But things have evolved, and with new technology at our fingertips, Data Studioβs flaws are only becoming more pronounced.Β
Here are some common issues that you may recognize when generating reports using Data Studio.
You assume Data Studio can handle massive βGoogle-scaleβ data, but itβs buggy. For example, there are low limits on rows and fields, and even adding a few dimensions or joining multiple data sources can break the report at the worst times.Β
Every change in Data Studio requires manual updates. Youβre clicking, refreshing and waiting to see whether it worked. That makes iteration painfully slow. Even with added AI features, they only address a small part of the report development workflow.
Whereas agents can simply scan files with code-based reports, in Data Studio, a user has to laboriously click around the interface.Β
Like a lot of Google services, Data Studio isnβt built as an API-first platform. This is something Google got institutionally wrong decades ago. Not being able to manage the platform using external tools creates bottlenecks.
Despite its recent rebrand, Data Studio hasnβt become any more relevant β not with the technologies that are now in play for SEO reporting.
But itβs not just Data Studio. Really, what SEO teams are up against is the rigidity of any dashboard-based reporting tool. Now all that is changing.
The SEO toolkit you know, plus the AI visibility data you need.
The shift away from rigid SEO dashboards is now possible because large language models are becoming more capable of generating reliable code, and APIs are accessible across many platforms.
This has led to the rise of AI-driven coding tools, including Claude Code, OpenAI Codex, and Gemini CLI.
At a high level, it works like this: You describe what you want in your SEO report, and they handle the heavy lifting.Β
These tools are βagenticβ because they can execute multi-step workflows like pulling data, transforming it, analyzing it, and then generating reports with minimal intervention.
You donβt need advanced coding skills to use them, but a basic understanding of data structures and APIs will make the process effective.
In practice, the entire reporting workflow can be done programmatically from start to finish.
They generate code that connects directly to data sources through APIs, removing the need to rely on dashboard connectors or preconfigured data pipelines.Β Β
From there, they can analyze the data and create full reports. This can happen in minutes as you become more familiar with the tools.
While each of the tools I mentioned has different strengths (for instance, some are better at reasoning, others at speed or integrations), they essentially do the same thing: transform SEO reporting from a manual, rigid process into something with endless possibilities.Β
The power of this technology is hard to overstate.Β
AI coding tools are removing the roadblocks between data, development, and reporting for SEO teams.Β
Speed is the most obvious advantage.Β
Agentic coding assistants are enabling SEOs to create reports that previously required support from developers.Β Β
In many cases, tasks that previously took days can be done in hours and tasks that took hours can be done in minutes.Β
You can see this improvement even in small interactions.
For example, when data is processed directly in the browser (instead of re-querying a dashboard), it makes filtering, sorting, and slicing data significantly faster.Β
Instead of waiting for a dashboard to refresh after every change, you can interact with the data in real time.
Thatβs just one way these technologies make you more agile.
Instead of having to work in predefined templates and a fixed structure, you can build the report for exactly what the situation requires.Β
Plus, every major data visualization and plotting library is available on demand in any programming language.Β
If you feel like one approach isnβt capturing the whole story in your SEO report, you can switch or combine multiple frameworks in the same output.Β
From rankings and traffic trends to keyword clusters or content performance, you can apply nearly any chart.Β
The examples below come from Observable Plot, created by data visualization expert Mike Bostock, but many other charting libraries are available.
While setup and onboarding take some initial effort, these tools are accessible to most roles on the team and immediately become more efficient than traditional reporting.
Data limitations are clearer, too.Β
For example, when youβre working with browser-based charting libraries, you have a better feel for how many rows youβre handling and what the system can realistically process.Β
And when you do hit a limit, you understand exactly whatβs happening and how to adjust. This helps prevent misleading or incomplete reporting.Β
What are some practical ways you can use these agentic coding assistants to run SEO reporting?Β
Before client meetings, you can pull data from Google Search Console and GA4 via APIs, then have it cleaned and segmented programmatically and generate a notebook, dashboard or slide deck in a single workflow.
Say you need to analyze crawl data or log files. Instead of exporting, filtering, and then visualizing the data manually, you could get the raw data, process it with code, and generate custom visualizations tailored to the exact problem youβre trying to solve.
Once data connections are established, last-minute reporting requests no longer have to mean staying up late to pull data and build reports. The next time someone asks for something like βnon-brand CTR trends by device over the last 90 days,β you can produce this data with much less effort.Β
Really, if you can imagine it, you can do it with these agentic coding assistants. As a result, SEO teams can do more proactive analyses.
AI is impacting all knowledge workers, not just SEOs.Β
By now, many have seen the viral article βSomething Big Is Happeningβ by Matt Shumer, which paints a startling picture about the future of AI-powered work and adopting an βadapt or dieβ mentality.Β Β
Research is beginning to show how these types of technologies are impacting productivity.Β
One study by Stanford and MIT researchers found that access to AI tools in the workplace increases productivity by at least 14% on average, with a 34% increase for low-skilled workers.Β
The bottom line is that anything that can be generated with code is going to be eaten by these CLI tools and agents, because theyβre just so much faster.Β
Businesses are catching on. Up to 64% of businesses now generate a majority of their code with AI assistance, according to a Business Insider report, and high-adoption teams are producing nearly double the output.Β
For SEO teams, theyβre experiencing faster reporting cycles, more iterative analyses, and the ability to handle more complex data.
AI coding assistants are also helping analysts become builders. Non-technical users can build and iterate in ways that were previously out of reach.
Ultimately, this shift is becoming table stakes. The SEO teams that integrate these tools into their workflows will move faster and produce better results.Β
The competitive advantage is going to those who adopt these technologies first.
Where to begin, though? Consider piloting a small project:
Track, optimize, and win in Google and AI search from one platform.
Traditional SEO reporting tools are quickly becoming a bottleneck.Β
AI coding assistants are helping SEO teams respond to any type of reporting without the added friction, while delivering faster, better insights.Β
The companies that adapt will gain the advantage in SEO execution. Start by replacing one recurring report with a code-driven workflow and build from there.
Microsoft is rolling out a suite of updates across Microsoft Advertising to help brands stay visible β not just to people, but to AI agents increasingly making decisions on their behalf.
Whatβs new. The update spans measurement, commerce, and media, with new tools designed to help advertisers show up in AI-driven experiences and transactions.
On the ads side. Microsoft is introducing AI Max for Search campaigns, which expands query matching and personalizes ad delivery across AI surfaces like Copilot and Bing. Itβs also launching βOffer Highlights,β new ad formats that surface key selling points β like free shipping β directly within AI conversations.
Zoom in:
Also notable. A new AI-powered audience generation tool lets advertisers describe their ideal customer in plain language, with the system building targeting segments automatically.
Why we care. Microsoft is changin how visibility works in Microsoft Advertising β shifting from clicks and rankings to being selected by AI systems. Tools like AI Max, AI Visibility, and Offer Highlights help brands show up in AI-driven decisions, not just search results. As AI agents take a bigger role in discovery and transactions, advertisers who adapt early will have a clear advantage.
Between the lines. This is a shift from optimizing for clicks to optimizing for selection β ensuring your brand is chosen by AI systems, not just seen by users.
What to watch. Early data suggests AI-driven traffic is growing far faster than human traffic, signaling where future demand may concentrate.
Bottom line. Microsoft is preparing advertisers for a world where winning means being understood β and trusted β by AI agents, not just ranking in search results.
Dig deeper. Win Across All Three Eras of the Web
Valve βsecretlyβ uploads a Steam Controller unboxing to Steam It looks like Valve will soon be ready to launch its new Steam Controller. A new unboxing video for the controller has been uploaded to Steam, and while it is currently unwatchable, it implies that Valve will either open pre-orders or launch the product very soon. [β¦]
The post Valve Steam Controller unboxing video hints at imminent launch appeared first on OC3D.
AMD finally delivers dual 3D V-Cache on Zen 5 with the 9950X3D2, but does twice the cache translate into real gains? We test performance, power, and value to see if this flagship makes sense.
NVIDIA has just released its latest DLSS 4.5 SDK, which allows developers to integrate the latest tech, such as Dynamic Frame Gen & More, into their latest games. NVIDIA DLSS 4.5 Dynamic Frame-Generation, Updated Ray Reconstruction, & Enhanced Upscaling Tech Is Now Available To Devs With The Latest Streamline SDK Release Today, NVIDIA is finally releasing the highly anticipated DLSS 4.5 Streamline SDK. With this release, devs have the ability to easily integrate all the DLSS 4.5 goodies that come with the 2nd Gen transformer AI models, such as enhanced upscaling, frame-gen, Ray Reconstruction, and dynamic frame-generation support to their [β¦]
Read full article at https://wccftech.com/nvidia-dlss-4-5-sdk-now-available-enabling-devs-to-integrate-dynamic-frame-gen-in-games/
The new ProArt monitor aims for a high refresh rate operation alongside excellent color accuracy and color reproduction for professionals. ASUS Debuts 4K OLED ProArt PA32USD Monitor for Professionals; 4K HDR QD-OLED Panel, 240 Hz Refresh Rate, 1000 Nits of Peak Brightness, and DP 2.1 Interface Most monitor manufacturers focus on delivering gaming monitors in affordable and premium categories, but ASUS is also taking care of its professional lineup known as ProArt. The ProArt series of hardware is aimed at professionals who want premium features to excel at what they do the best. The monitor ProArt series has just received [β¦]
Read full article at https://wccftech.com/asus-launches-proart-pa32usd-oled-4k-monitor/
The AGON PRO AG326UZD2 is a high-end gaming monitor that not just features competitive specifications, but also the latest QD-OLED panel for improved visual clarity. AOC Debuts 32-inch QD-OLED AGON PRO AG326UZD2 Gaming Monitor, Featuring up to 240 Hz Refresh Rate, and Latest DisplayPort 2.1 Interface Popular monitor maker, AOC, has today introduced a premium offering in its AGON PRO lineup called AG326UZD2. The company usually launches affordable gaming monitors most of the time, but the AGON PRO AG326UZD2 brings a competitive and premium OLED monitor that is based on the Samsung's 4th gen QD-OLED panel for improved visual fidelity. [β¦]
Read full article at https://wccftech.com/aoc-launches-agon-pro-ag326uzd2-a-new-4k-oled-gaming-monitor/
A truckload of futile attempts have been made by Samsung to maintain its dominance over Apple in the smartphone market. Unfortunately, with the Korean giantβs market share dwindling and the DRAM shortageΒ threatening to erode its lead as its rival mulls a price freezeΒ on the iPhone 18Β lineup, itβs becoming even more difficult for competitors to obtain a foothold. In the wake of multiple factors, a new report highlights a shift in Samsungβs strategies where it targets a lucrative business model as opposed to competing with Apple in the smartphone market and failing continuously. That specific model is maintaining its role as [β¦]
Read full article at https://wccftech.com/samsung-cannot-beat-apple-in-a-smartphone-race-focus-on-thriving-business-model/
ShelfCheck helps beauty enthusiasts track every product in their collection and catch expiration dates before products go bad. Beauty enthusiasts own 40+ products on average and throw away 20-40% of them expired or forgotten. ShelfCheck turns your camera into a beauty product scanner that identifies each product with AI, estimates expiry dates, and alerts you before anything goes bad.
It offers barcode scanning for fast catalog building, photo backup for visual reference across devices, and expiry tracking across your entire collection. Currently in closed Android beta with iOS launching Spring 2026.
Widgetfied unifies lead generation, booking, payments, routing, and reporting for service businesses. Launch a hosted business page with scheduling, AI estimates, a KPI dashboard, and Stripe payments, or embed the widgets on your own site.
Its Data Miner taps commercial and government sources like census and mortgage data to score prospects and feed bookings. Orders flow into route optimization with live GPS, and Google Calendar sync keeps your schedule tight. Everything connects without copy-pasting between tools.
Demand Gen campaigns have high visibility across YouTube, Discover, and Gmail. However, they pose a key challenge: the βattribution illusion.β Youβll often question whether reported conversions in the platform are truly incremental or if these users wouldβve converted through search either way.
Thatβs why in November, Google launched asset uplift experiments, giving you the ability to measure the impact of Demand Gen creative through an A/B split test. This means you can replace assumptions with a clearer view of whatβs actually driving incremental results.
Relying too heavily on creative instinct or default reporting can lead you down an inefficient path and divert valuable creative resources toward poor-performing assets. Using Googleβs A/B testing capabilities helps you isolate the impact of individual assets and avoid that outcome.
If a user views a Demand Gen ad on YouTube and doesnβt click but then searches for the brand and converts, Google may attribute partial or full credit to the Demand Gen campaign and creative. This attribution more so reflects correlation rather than causation.
Accurate measurement and the scientific method show the need to understand the scenario in which the creative isnβt shown. By withholding the test assets from a segment of the target audience, itβs possible to establish a baseline.Β
The difference in conversion rates or any primary KPI between the treatment group β those who were exposed to the ad β and the control group β those who werenβt exposed β shows the actual incremental lift the creative is driving.
Dig deeper: Why incrementality is the only metric that proves marketingβs real impact
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One common mistake is launching experiments without enough data to reach statistical significance. To avoid inconclusive or invalid results, make sure your campaign meets these prerequisites before setting up the test.
Google recommends having at least 50 conversions across treatment and control arms during the experiment to measure lift accurately. If your primary conversion doesnβt receive this volume, consider optimizing the test around high-intent micro-conversion actions, such as βAdd to Cart.β
Experiments should run with continuous, uninterrupted spending. If your Demand Gen campaign is limited by budget and stops early each day, the control group data will be skewed.Β
The campaign must have a sufficient budget to run for at least four weeks, or until a statistically significant result is achieved.
Test only one new variable at a time. To determine if a specific video asset drives uplift, keep all other campaign elements, such as audience, bidding, and standard image assets, unchanged.
Dig deeper: Why Demand Gen is the most underrated campaign type in Google Ads
Setting up a creative uplift test is now more streamlined within Google Ads. To build a valid experiment, follow these steps.
Every valid scientific test begins with a clear hypothesis. Avoid running tests without a defined objective. For example:
Log in to your Google Ads account and navigate to the left menu. Select Campaigns > Experiments. Click the plus (+) button to create a new experiment, choose Asset tests provided by you, and make it a Demand Gen campaign experiment.
Google will prompt you to define your split. To set up statistically sound results, use a 50/50 cookie-based split.Β
This ensures both control and treatment groups have equal historical data and algorithmic weighting, and prevents users from ending up in both arms of the test. Assign your existing campaign as the control, and the duplicated campaign with new assets as the treatment.
Once the experiment begins, you must practice extreme discipline. Donβt change audiences or targeting, and avoid drastic bid and budget changes.Β
Any adjustment made to either campaign during the testing window will introduce noise and could invalidate the statistical significance of your results.
Run the experiment for at least four weeks.Β
For longer conversion cycles, such as B2B SaaS, consider extending the test to six or eight weeks.
Dig deeper: What it takes to make demand gen work for B2B and ecommerce
When the experiment concludes, review results in the Experiments dashboard, where a report showing the performance of each arm and its confidence interval across metrics is available. Interpret the outcomes as follows to validate your hypothesis made earlier.
If the treatment group shows a positive lift with 95% confidence, your creative asset has been proven to drive incremental conversions.Β
From there, you can calculate incremental cost per acquisition (iCPA) by dividing the treatment groupβs total ad spend by the incremental conversions above the control arm.Β
Use this iCPA as your benchmark for scaling the campaign going forward.
Occasionally, a new creative asset may suppress performance. It may be too disruptive, or the video may have a high skip rate, causing the algorithm to reduce delivery to high-intent users. Pause the treatment asset immediately. This allows you to let data guide your budget decisions vs. preference.
If the difference between groups is negligible and the system cannot confidently attribute conversions to the ad after four weeks and adequate conversion volume, consider extending the test for two more weeks to collect additional data.Β
If results are still inconclusive, it could be that creatives are too similar. Test a significantly different creative asset, as small changes rarely produce a statistically significant lift in Demand Gen.
Creative is a key remaining lever and differentiator you can pull to drive performance. Producing high-quality video or UGC is just the first step in this world, where creative bandwidth and impact must be proven as a driver of results.Β
Demand Gen is a powerful tool for visual storytelling, but justifying its budget to stakeholders requires rigorous, scientific evidence of its impact. Asset uplift experiments enable just that. Begin your first holdout test, establish a baseline, and let data guide your creative decisions and roadmap.
Dig deeper: The Google Ads Demand Gen playbook
For 20 years, Google Ads management has followed the same basic model: you log in, review performance, make changes, and hope they work before the next check-in.Β
Agencies, freelancers, and in-house teams all work this way, even as the tools have changed. Spreadsheets gave way to scripts, and scripts gave way to automated bidding, but the core loop never changed β someone still had to sit in the account.
groas aims to change that model by introducing a system designed to automate campaign execution end-to-end.
Our company announced today it has developed a fully end-to-end autonomous system thatβs designed to match or exceed PPC performance benchmarks observed in internal testing. Itβs designed to operate without routine manual approvals or constant dashboard monitoring.
From campaign creation through bid management, ad copy generation, keyword expansion, negative keyword pruning, budget allocation, and dynamic landing page deployment β along with everything else you can do in the Google Ads console and beyond β the entire workflow now runs autonomously, 24/7.Β
The system runs on a distributed network of specialized AI agents that handle different parts of campaign management and communicate in real time.
We didnβt start here.Β
A year ago, groas launched as a lightweight product that surfaced optimization recommendations for you to review and implement. The same model most PPC products still follow.Β
By the founderβs own admission, it was a fairly unremarkable v1. But what it lacked in sophistication, it made up for in something more valuable: real data from large volumes of real campaigns at scale.
Hundreds of early customers across the world signed up and connected their Google Ads accounts, representing a wide range of ad spend levels, campaign structures, and conversion goals.
These werenβt a narrow slice of one vertical. They spanned dozens of industries and niches β from local service businesses spending a few thousand a month to large agencies managing seven-figure monthly budgets across full client portfolios.
That diversity became the most important asset groas built.Β
The custom-trained, fine-tuned models that now power the system were shaped by this breadth β not a static dataset or simulation, but live campaigns with real money on the line across every industry and budget tier.Β
Without that base of early adopters, what groas is today couldnβt exist. The training data that enables autonomous management came from actively managing real dollars across real campaigns, learning what worked and what didnβt in conditions no synthetic environment could replicate.
David Pourquery, founder and CEO of groas, said:
βWe kept seeing the same pattern. Weβd surface a recommendation that would clearly improve performance, and it would sit there for days or weeks because the account manager was busy, or the client needed to approve it, or someone was on vacation. The insight had a shelf life, and by the time it got implemented, the data had moved on. So we stopped recommending and started doing.β
That realization drove a complete six-month rebuild. The result is a system of interconnected AI agents, each specialized in a different part of campaign management, collectively processing over 100,000 data points per hour per campaign.Β
The network handles a wide range of tasks typically performed inside the Google Ads console without the limits of working hours, cognitive load, or the tradeoffs that come with managing multiple accounts. The system automates most day-to-day campaign management tasks that would typically require manual input. If you wouldnβt have time to do it, the agents would.
From day one, groas built dynamic landing pages into the system, deployed and continuously A/B tested to find winning combinations of messaging, layout, and calls to action for every campaign. groas deploys them with a single line of JavaScript on your existing site β no developer resources, no new hosting, no CMS changes. The system tests and iterates 24/7, designed to improve conversion rates through continuous testing.
Thereβs a full undo capability for each agent action, but the point is you donβt need to regularly check into groas or Google Ads. Weekly reports are emailed, summarizing what was done, while a dedicated human PPC account manager oversees everything groas does around the clock.
Onboarding is fully hands-off. After sign-up, your groas account manager learns your business, audits your existing Google Ads accounts, and delivers a detailed action plan within 24 hours. From there, they implement everything across groas and Google Ads with zero work on your side.
In less than a year since shifting to full autonomy, groas now manages eight figures in monthly ad spend across its client base. Every account came through organic discovery or direct referrals β the company hasnβt spent anything on paid acquisition to date.
The client base has consolidated around two profiles:
Googleβs automation β from Performance Max to AI Max to broad match expansion β has pushed the industry toward more black-box control for years. Many advertisers feel they are losing visibility into whatβs actually happening inside their campaigns. Meanwhile, agencies and recommendation-based products still run the old loop: review, recommend, wait for approval, implement, repeat.
groas occupies a category that didnβt exist. Instead of helping you manage campaigns better or relying on Googleβs automation, it removes you from the execution loop while keeping you in the strategic loop through a dedicated account manager.
The PPC industry has spent two decades debating how much to automate. groas is the first to answer βeverythingβ and back it up with eight figures in managed spend.Β
The growth points to something the industry has been circling for years without arriving at. The bottleneck in Google Ads performance has often been the limits of manual execution β constrained by time, attention, and the volume of data modern campaigns generate.
groas didnβt build a better recommendation engine β it reduced the need for traditional recommendation-based workflows.
groas starts at $999 per month for up to $15,000 in managed ad spend, scaling to $6,999 per month for up to $150,000. No contracts, lock-ins, or setup fees. The only requirement is at least $2,000 per month in Google Ads spend β below that, there isnβt enough data for the agents to optimize effectively.
Learn more about how groas works at groas.ai.
Yelp is rolling out its most significant AI update yet, centered on a new conversational βYelp Assistantβ designed to move users from searching to actually booking, ordering, and scheduling β all in one flow.
Whatβs new. Yelp Assistant sits at the center of the update, acting as a chatbot that can answer complex queries, recommend businesses, and complete actions like reservations or appointments without leaving the app.
Zoom in. The assistant pulls from Yelpβs massive base of user reviews and photos to generate tailored recommendations, explain why a business fits, and let users refine results conversationally. It can then take the next step β booking a table, ordering food, or requesting a quote β directly within the same interaction.
What else is new. Yelp is expanding integrations with platforms like Vagaro, Zocdoc, and Calendly to streamline bookings across categories like beauty, healthcare, and home services, while deepening delivery ties with DoorDash.
Also notable. An upgraded βMenu Visionβ feature uses AI and visual overlays to show dishes, reviews, and photos in real time when scanning a menu, helping users decide what to order faster.
Why we care. Yelp is shifting from a discovery platform to a transaction-driven experience powered by AI. With Yelp Assistant handling recommendations and bookings in one flow, visibility alone may not be enough β businesses will need to be optimized for conversion within the platform. The update also signals more competition for high-intent users as Yelp tightens control over the path from search to purchase.
Between the lines. Yelp is leaning into AI not just for discovery, but for conversion β turning intent into transactions without sending users elsewhere.
Whatβs next. The assistant is live on iOS and Android with broader expansion across categories and desktop coming later this year.
Bottom line. Yelp wants to own the full local journey β from βwhere should I go?β to βitβs booked.β
Intel's Unlocked CPUs have been restricted to high-end desktop models, but that is about to change as the company plans overclocking support on more SKUs. Intel Changes Its Unlocked Desktop CPU Strategy: No Longer Limited To High-End SKUs, Also Coming To Budget & Mainstream Offerings The new Intel client division is making some drastic changes in the desktop segment. Recently, Robert Hallock revealed how Intel is planning to offer AMD-like socket longevity moving forward, while also keeping existing platforms fresh with new refreshes. For this matter, Intel has already launched Arrow Lake "Core Ultra 200S Plus" for LGA 1851, and [β¦]
Read full article at https://wccftech.com/intel-no-longer-limit-overclocking-to-high-end-skus-plans-more-unlocked-cpus/
Assassin's Creed Black Flag Resynced continues to be one leaky ship. After the game's existence was revealed long before its official announcement (something that Ubisoft itself acknowledged), new footage of the highly anticipated remake leaked online, showing how the game's visuals will be on par with those of the best-looking entry in the series to date: last year's Assassin's Creed Shadows. The leaked footage, shared on X by KAMI, is most likely lifted from the game's official trailer which will officially make its debut in a few days, on April 23. While it does not feature any gameplay, the footage [β¦]
Read full article at https://wccftech.com/assassins-creed-black-flag-resynced-leak-side-by-side-massive/
The massive AI cycle has prompted semiconductor giants such as TSMC to invest billions into infrastructure, but even that won't be enough to keep up with demand. TSMC Says It Won't Be Able To Keep Up With AI Demand Despite Billions Being Spent To Bring Up New Production Facilities Earlier this week, TSMC announced in its earnings call that the company's capital expenditures are expected to reach $56 billion in 2026. That's lots of money, and all of this is being poured into the construction of new chipmaking facilities, while upgrading existing lines to sustain more production. Despite all of [β¦]
Read full article at https://wccftech.com/tsmc-pouring-56-billion-into-new-fabs-admits-shortages-will-drag-into-2027-and-beyond/
BidWolf connects homeowners with trusted local contractors and streamlines the bidding process. Post a project, receive competitive bids within hours, compare options, and choose the right pro with confidence. Contractors are reviewed with verified credentials, and you can communicate through built-in messaging. Use the free estimator to scope your project and manage bids on the go with iOS and Android apps.
Mindry combines guided journaling with AI coaching to help you build real self-awareness. Choose from 20 therapeutic journeys across four proven frameworks, write honest reflections, and receive personalized AI insights that actually respond to what you wrote, not generic affirmations.
The AI coach reads your words, notices patterns you might miss, and responds like a perceptive friend who knows a lot about psychology. It's not therapy and doesn't pretend to be. It's a daily practice that helps you see yourself more clearly.
Free to journal. Premium unlocks unlimited AI coaching insights and advanced analytics.
Google announced new tools that further transforms Search to a tasked-based platform.
The post Google Adds New Tasked-Based Search Features appeared first on Search Engine Journal.
Microsoftβs next-generation Xbox will lack custom GPU silicon, leaker claims The specifications for Microsoftβs next-gen Xbox βProject Helixβ console have already leaked, and they paint a clear picture. Microsoftβs next-generation Xbox will be a powerful console, with its βMagnusβ chip bringing together AMD Zen 6 CPU cores, RDNA 5 graphics, and a powerful NPU. Now, [β¦]
The post Next-gen Xbox βProject Helixβ will lack βspecial sauceβ β Leaker claims appeared first on OC3D.
iPhones are gradually being treated to camera hardware upgrades to elevate the user experience, with Apple rumored to be testing new, higher-resolution sensors to rival its competitors. The Cupertino firm was earlier said to be evaluating a 200MP primary shooterΒ for the iPhone, and now, a tipster claims that the same treatment is being given to the periscope telephoto camera, an area where Chinese smartphone makers have already invested an estimated $30 million. A 200MP camera could become a standard for every unit on the iPhone, but knowing Apple, it will probably take years to implement The tetraprism telephoto camera first [β¦]
Read full article at https://wccftech.com/apple-working-on-high-resolution-camera-that-chinese-competitors-are-spending-millions-on/
Not content with selling more than 1 million units in just 48 hours, which is an excellent result for a brand new IP, CAPCOM has already improved PRAGMATA with a new PlayStation 5 Pro patch. This patch introduces official PSSR support (PlayStation Spectral Super Resolution) for a noticeably sharper image quality. Patch 1.210, which has gone live today, "adds official support for the upgraded PSSR," the publisher confirmed on the game's official X profile. While some users noted that the game already used the system-wide toggle to enable the tech at launch, this official support brings significant optimizations. According to [β¦]
Read full article at https://wccftech.com/capcom-sharpens-pragmata-ps5-pro-pssr-2/
Earlier this month, The Ankler published a report in which they mentioned that the Mass Effect TV series in development at Amazon Prime Video would have to be partially rewritten to accommodate "non-gaming audiences", as mandated by Amazon's new Head of Global TV, Peter Friedlander. The report added that Friedlander, who took over as Head of TV in October 2025, has apparently been taking an active role in approving script decisions across multiple Amazon Prime projects, with several being delayed as a result. Needless to say, this wasn't exactly thrilling news for fans of BioWare's beloved sci-fi gaming franchise. At [β¦]
Read full article at https://wccftech.com/mass-effect-tv-writer-pushes-back-ankler-rewrite-non-gamers/
PC OEMs, such as ASUS and MSI, are rumored to build their own custom Microsoft "Project Helix" machines besides the official Xbox console. Microsoft's Project Helix Will Exist As Both A PC and A Console, As Rumor Points To OEM Vendors Creating Their Own Custom Designs Recently, there have been reports about Microsoft's Project Helix plans, which is the codename for the SoC powering the next-generation Xbox console. Microsoft is deeply engaged with AMD on its Project Helix SoC, which will feature support for FSR Diamond, a brand new upscaling technology with lots of AI-specific innovations centered around Neural Rendering. [β¦]
Read full article at https://wccftech.com/pc-oems-asus-msi-to-make-their-own-microsoft-project-helix-xbox-machines/
AMD hits at Frame Generation βUpgrade Ratio Optionβ for RDNA 4 users Last month, AMD confirmed at GDC 2026 that it was working on βML-based multi-frame generationβ as part of βFSR Diamondβ. Now, it looks like AMD is getting ready to launch its first implementation of Multi Frame Generation, teasing a new βFrame Generation Upgrade [β¦]
The post AMD teases Multi Frame Generation with FSR update appeared first on OC3D.
Apple will have a new CEO on September 1st Apple has announced that Tim Cook will soon step down as CEO and take on a new role as βApple Executive Chairmanβ. He will be stepping down on September 1st, after which John Ternus will become Appleβs CEO. John Ternus is Appleβs Senior Vice President of [β¦]
The post Apple CEO Tim Cook to step down β Successor named appeared first on OC3D.
Last month, we shared some gorgeous screenshots from the in-development Dark Souls 2 path tracing mod "Lighting Engine". Now, modder Ganaboy has released a beta version that can be downloaded by anyone through the DSLighting Engine Discord channel. This build of the Lighting Engine adds path tracing and also removes almost all of the game's default 'fake lights'. The author recommends playing with as little player light as possible; the torch and light mechanics are crucial in the early game, and timers should be preserved as much as possible when not needed. There is minimal post-processing because the path tracing [β¦]
Read full article at https://wccftech.com/dark-souls-2-path-tracing-mod-public-beta/
China's domestic memory manufacturers are rushing to produce HBM chips, but the biggest DRAM maker has run into roadblocks with HBM3 tech. CXMT Is Reportedly Struggling With Its HBM3 Development & Has Delayed The Project To 2H 2026, A Cause of Concern for China's Domestic AI Markets The AI market in China is booming at an incredible pace, led by Huawei and several other chipmakers. Despite facing strict bans on advanced chip production, the AI market has endured, & domestic DRAM makers are now sampling their very first HBM3 solutions, which will be coupled with the latest AI chips. At [β¦]
Read full article at https://wccftech.com/china-ymtc-hits-hbm3-roadblock-domestic-makers-rush-hbm-manufacturing/
Accounting Ketchup provides AI-powered catch-up bookkeeping for QuickBooks Online with a flat monthly rate per month cleaned. Connect securely via Intuit OAuth, let the system auto-categorize and reconcile transactions, then review flagged items so nothing changes without your approval. In 3 to 7 business days, you get CPA-ready financials including a clean P&L, balanced balance sheet, and reconciled accounts kept inside your QuickBooks. Pricing starts at $69 per month of cleanup with no subscription and includes human review before delivery.
Nexus is a bookmark manager built for people who read carefully. Smart collections update automatically based on tags, so a link tagged design appears in your Design collection without folder drag-and-drop. You can share any collection privately with specific friends to view or collaborate, or make it public with a short shareable URL. The same list works as a team reading queue or a link-in-bio. Every saved page gets a Wayback Machine snapshot to prevent link rot. It features a fast keyboard-first UI and quick capture via bookmarklet and mobile share sheet. The beta is invite-only while it stabilizes.
Cloud agent to build internal apps and automate workflows
Turn Linkedin into unlimited leads on auto-pilot
Easy goverment data access for citizens, optimized for AI
An open-source email editor you can embed in your own app
Build your Enterprise CRM with an AI-friendly SDK
Open-source Interactive product demos
Cut token waste by 84% with self pruning MCP memory
Build Codex memories from recent screen context.
How is your brand perceived by AI?
Become the most recommended brand across 7+ major LLMs
Can you convince an AI that you're an AI?
Never lose your clipboard again
AI agent for Unity game development
RankAI autonomously gets you buyers from Google & AI Search
Fine-tune any LLM in minutes, with one prompt
Bring agents to all the interfaces people already use
Give AI agents spending power without giving up control
Your Claude Code & Codex dev, now in your pocket
The habit app that doesn't forgive you
Parallel AI agents for long-horizon, complex software tasks
One file. Any agent. Working chat in under 10 minutes.
Turn your web page into a hardware accelerated video via API
The global map for builders, founders, and visionaries
Dynamic Island for AI Coding Agents
Talk to your Apple Books library with Claude
Turn any flat image into a fully editable design
Track your races. Not your ego.
Screen recording with auto-zoom, spotlight, and lightbox
AI visual workspace that takes you from thinking to delivery
Multi-source price feed for AI agents
Ask health questions across your records, labs, wearables
Open-source SOTA for long-horizon coding and agent swarms
Sovereign navigation infrastructure for Europe
The AI app builder that actually builds the whole app
Build, launch, and grow your business on autopilot
AI agents for your team, built into your CMS
Private speech-to-text on your Mac
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Small businesses across the EEA, U.K. and Switzerland can now use Pomelli in English to create custom, on-brand campaigns.
The CEO of Qualcomm has landed in Korea to discuss crucial plans with the executives at Samsung and SK Hynix. Qualcomm CEO's Visit To Korea Can Be A Push To Secure Chip & Memory Capacity at Samsung & SK Hynix As supply constraints continue to grip the AI and PC markets, chipmakers are rushing to secure supply across the globe. Reports are emerging from Korean outlets that Qualcomm's CEO, Cristiano Amon, has visited the country today (April 21st), and is likely to hold meetings with executives from Samsung Foundry and SK Hynix. The main agenda that is likely to be [β¦]
Read full article at https://wccftech.com/qualcomm-ceo-flies-to-korea-hunting-2nm-wafers-at-samsung-lpddr-supply-at-sk-hynix/
Anthropic has just landed a multi-Gigawatt deal with Amazon, where it would train & deploy its Claude models on Trainium chips through 2026. Amazon Is Investing Over $20B in Anthropic, While Also Supplying 6GW of Trainium Chips To Anthropic Last week, Anthropic launched its Claude Opus 4.7 models, bringing faster AI capabilities such as Agentic workflows. Today, Anthropic announced that it is collaborating with Amazon to secure additional capacity for its AI models. The new deal will give Anthropic access to multi-Gigawatt worth of compute capacity. For the first half of 2026, Anthropic will secure up to 5GW of compute [β¦]
Read full article at https://wccftech.com/amazon-anthropic-5-billion-investment-6gw-trainium-chip-capacity-for-claude-ai/
Betula is an AI voice assistant with her own phone numberβthe one you give out instead of yours. She manages your calls, filters spam, and keeps you updated live via text so you can step in or send a reply she'll speak aloud. She also texts, sets reminders, schedules appointments, journals your thoughts, delivers daily briefings on stocks, news, and weather, finds local businesses, gets quotes, and remembers every interaction. Built for professionals and small business owners who need a real assistant, not another app.
BaselineBody is a daily movement app for iPhone that removes every decision from your routine. No workout library, plans, streaks, or notifications. You open it, press start, and the system generates a 10 to 20 minute session of mobility, bodyweight strength, or breathwork based on what you need that day. If you trained hard at the gym, it gives you recovery. If you're rested, it pushes harder. You don't have to think about it.
Most fitness apps fail because choosing is exhausting, not because the workouts are bad. Baseline fixes that by removing the decision entirely. Three disciplines, one app, $9.99/year. Built by a solo developer with 10 years in fitness tech. Launching May 2026.
SplitPost helps solo creators repurpose a single blog post into a week of platform-native content that follows their voice rules. Define banned phrases, required vocabulary, sentence patterns, contraction preferences, and formatting once. Then paste your long-form content, choose platforms, and SplitPost generates and validates outputs in two passes, rewriting any violations before review so you can queue posts without editing. Paid plans add carousel images, emotional intent, ad copy, exports, and team features.
Trivmo is a new way to meet people anywhere for dating, hangouts, activities, and travel. Most apps focus on swiping, but real connections rarely happen. Trivmo is designed to help people actually meet. It offers verified profiles, voice notes to feel real chemistry, fun trivia to break the ice, Travel Mode to meet before you arrive, Hangout Mode to meet when you're free, and activities to connect around shared interests. Would love your feedback.
The web changes constantly and you shouldn't have to watch it. DiffHook monitors any webpage and sends a notification whenever something updates. Track competitor pricing, catch new job listings as they post, trigger a Zap when a policy page changes, or get alerted when a product is back in stock. Anything you'd refresh a tab for, DiffHook handles 24/7 at the interval you set.
insightDiff is an AI-powered tool that compares website screenshots and helps you understand what actually changed. Instead of relying on pixel-based diffs, it analyzes text, layout, images, and structure to highlight meaningful differences such as missing content or layout shifts. You can upload screenshots or capture pages via URL, making it easy to use without complex setup.
implo.ai is a curated marketplace for AI assets built for small businesses and solopreneurs. Browse ready-to-deploy prompts, automation workflows, AI agents, custom GPTs, MCP servers, Cursor rules, and Notion templates that install in minutes and work with ChatGPT, Claude, Gemini, Midjourney, Zapier, Make, n8n, and more. Every product includes clear docs, real output examples, instant delivery, and a 14-day money-back guarantee. Creators can sell to a vetted audience with quality gating and instant Stripe payouts.
At a webinar celebrating the video-editing platformβs one-year anniversary, the company announced improved captions and better effects customization.
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The company is reportedly looking to reduce its global workforce by about 10%, or approximately 8,000 people, as it increases its reliance on artificial intelligence.
New features include time limits for Shorts and in-app account settings as the platform works to protect teens from overusing digital media.
