Project Helix

You might recall that just two short years ago in February 2024, Disney invested $1.5 billion in Fortnite maker Epic Games, with grand plans to create a persistent Disney universe within Fortnite based on Disney franchises. We've already seen part of this deal bear fruit with the introduction of Disnyeland in Fortnite, and according to a new report from Bloomberg, we're due to get the next fruit in November 2026. And according to the report, it's an incredibly significant release for Epic, because it is meant to mark the beginning of its comeback tour. Epic Games recently laid of 1,000 [β¦]
Read full article at https://wccftech.com/epic-games-disney-game-november-2026-shooting-game-along-the-lines-of-arc-raiders/

The foldable smartphone form factor was assumed by many to be the catalyst that succeeds the βcandy barβ shape that weβve grown to own and love. Unfortunately, years have passed since Samsung introduced the Galaxy Fold, and this particular category still hasnβt been able to accumulate the required attention from the mass market. In short, customers arenβt too thrilled about spending thousands on a device that offers the same internal specifications but also has a smaller shelf life due to all the moving parts. Then again, they donβt carry the same iPhone FoldΒ magic, which is why a rumor claims that [β¦]
Read full article at https://wccftech.com/apple-increases-iphone-fold-display-inventory-by-20-percent/

At GDC 2026, Intel graphics engineer Marissa Dubois took the stage to present Intel's version of neural texture compression, very similar to NVIDIA's NTC in that both technologies are deterministic. The presentation was a follow-up to the original R&D prototype shown at GDC 2025, with the key news being that Intel has now productized that research into a standalone SDK. Texture Set Neural Compression (TSNC) is essentially a smarter way to store game textures. Traditional GPU block compression formats (BC1 through BC7) use fixed mathematical rules to reduce texture size, and while they're fast and universally supported, they leave significant [β¦]
Read full article at https://wccftech.com/intel-texture-set-neural-compression-sdk-tsnc-18x-smaller-textures/

defend.network is a free cybersecurity intelligence platform that publishes daily AI-generated threat briefings, weekly vulnerability reports with remediation steps, and a curated directory of 59 security tools. The intelligence is structured by threat type, industry, and severity. The platform is fully automated, requires no signup, and is completely free.
Looking to take the next step in your search marketing career?
Below, you will find the latest SEO, PPC, and digital marketing jobs at brands and agencies. We also include positions from previous weeks that are still open.
(Provided to Search Engine Land by SEOjobs.com)
(Provided to Search Engine Land by PPCjobs.com)
Search Engine Optimization Manager, Insight Global (Hybrid, Fort Lauderdale, FL)
Performance Marketing Manager, Recruitics (Hybrid, Lafayette,CA)
Marketing, Social Media & PR Manager, PARTNERS Staffing (Fort Myers, FL)
Local Search & Listings Manager, TurnPoint Services (Remote)
Senior Branding manager, rednote (Hybrid, New York, US)
Performance Marketing Manager, Hirewell (Remote)
Senior Paid Media Manager, Brightly Media Lab (Remote)
Marketing Specialist, The Bradford group (Hybrid, The Greater Chicago area)
Paid Search Specialist, Maui Jim Sunglasses (Peoria, IL)
Advertising Media Manager, Vetoquinol USA (Remote)
Note: We update this post weekly. So make sure to bookmark this page and check back.
Google is pushing advertisers toward a more modern, scalable infrastructure for Shopping integrationsβbringing new capabilities (including AI tools) directly into scripting workflows.
Whatβs happening. Google Ads scripts will begin supporting the Merchant API starting April 22nd, as Google prepares to retire the Content API for Shopping on August 18th. The new API will be available as an Advanced API in the scripts editor, while the existing Content API remains usable until its official sunset.
Whatβs new: The Merchant API introduces a modular architecture, breaking functionality into sub-APIs that allow for faster updates, easier maintenance, and fewer disruptions. It also expands capabilities with features like the Google Product Studio API for generative AI, dedicated APIs for managing product and store reviews, and a Notifications API for real-time updates.
In addition, advertisers gain more control over data management, including supplemental product data, local and regional inventory, and promotionsβall within a system designed for omnichannel use while still supporting legacy setups.
Why we care. The Merchant API gives advertisers more a more flexible way to manage product data at scale, especially for complex or omnichannel setups. It also introduces new capabilitiesβlike AI-driven content tools and improved data handlingβthat can enhance feed quality and performance. Just as importantly, with the Content API being retired, adopting the new system is essential to avoid disruption and stay competitive.
Yes, but. Migration will require some adjustmentβespecially for advertisers with custom scripts or complex feed setups tied to the legacy API.
Bottom line. For advertisers using scripts, this is an opportunity to upgrade to a more powerful and scalable integration, unlocking new features while future-proofing Shopping workflows before the cutoff.
Dig deeper. Merchant API is coming to Google Ads scripts starting April 22, 2026
So far this week, we've heard rumors about a new State of Play event set for next week, on April 16, 2026, and we've heard that the upcoming Assassin's Creed Black Flag Remake, officially titled 'Resynced,' will be fully revealed next week, on the same date. Now, a third rumor has entered the fray, this time claiming that 4A Games will reveal a new Metro game next week. This comes from AlexandreNGamR on X (formerly Twitter), who had also previously claimed that a State of Play is happening next week, which was corroborated by insider NateTheHate, who also elaborated on [β¦]
Read full article at https://wccftech.com/new-metro-game-rumored-to-be-revealed-next-week/

As endearing as Samsung is, it has a weird knack for tarnishing its image by artificially gating some features so as to nudge its customer base towards newer offerings. In doing so, the South Korean behemoth not only reeks of desperation but also risks alienating some of its most loyal customers. Samsung is perplexingly gating Buds 4 Pro's Super Wideband speech, excluding the S24 series when the underlying hardware support exists One of the features of the Samsung Galaxy Buds 4 Pro is its Super Wideband speech, which doubles the standard Bluetooth call bandwidth from 8kHz to 16kHz, resulting in [β¦]
Read full article at https://wccftech.com/samsung-resorting-to-gimmicks-to-inflate-the-sales-of-its-newer-flagships-even-though-the-galaxy-s26-series-is-doing-fairly-good/

18Recap turns your scorecard and a few quick thoughts into a shareable recap your whole crew will love. Pick from 20+ visual themes, add photos, and share it to the group chat or social media. It takes only 2 minutes.
Other golf apps track stats, and scorecards keep score. But nobody captures what actually happened out there: the lip-outs, clutch putts, duck hooks, hot dogs at the turn, and the side bets your buddy still hasn't paid.
Live and free at 18recap.com. Native iOS app opening to the first 10,000 golfers via TestFlight.
Google is removing complexity from one of its most important measurement tools. By merging enhanced conversions for web and leadsβand allowing multiple data inputs at onceβadvertisers get more accurate tracking with less setup friction.
Whatβs happening. Google Ads is consolidating its enhanced conversions features into a unified system with a single on/off toggle. At the same time, itβs eliminating the need to choose a single implementation method.
Advertisers will be able to send user-provided data through multiple channels simultaneouslyβincluding website tags, Data Manager, and API integrations. The current split between βenhanced conversions for webβ and βenhanced conversions for leadsβ will disappear.
Whatβs changing and when: Google Ads is currently accepting user-provided data from website tags (e.g., Google tag, Google Tag Manager), Data Manager, and API connections. This multi-source approach is designed to improve conversion accuracy and bidding performance.
Starting June 2026, enhanced conversions become a single feature with a simple toggle, and method selection (tag vs API, etc.) is removed from the interface.
Why we care. This update makes conversion tracking more accurate and resilient at a time when signals are disappearing. By allowing multiple data sources at once, Google Ads can better match conversions, which can directly improve bidding efficiency and campaign performance. Just as importantly, it removes technical frictionβso you get better data without having to choose or maintain a single integration method.
Impact on advertisers. Existing users require no action and will be automatically migrated if customer data terms have already been accepted. New users can enable enhanced conversions at either the account level or individual conversion action level. Opt-out remains available at the conversion action level.
How to enable it (quick take). At the account level, go to Goals β Settings, enable enhanced conversions under Customer data use, and accept data terms. At the conversion level, create or edit a conversion action, enable enhanced conversions during setup, and accept data terms.
Yes, but. To use enhanced conversions, advertisers must agree to Googleβs Data Processing Terms and confirm compliance with its policiesβan increasingly important step as platforms expand their use of first-party data.
Bottom line. Google is streamlining setup while quietly encouraging broader adoption of user-provided data. For advertisers, this means better performance with less manual setup. You get more complete conversion data feeding into bidding and optimization, without having to manage multiple tracking methodsβhelping you drive stronger results while simplifying your measurement strategy.
Valor Mortis is the next game from One More Level, one of the studio's behind first-person fast-paced cyberpunk sci-fi action platformer, Ghostrunner. It was first revealed back at Gamescom 2025, where Wccftech's Francesco De Meo got to check it out and called it one of the best games at the showcase. Now, we're finally starting to get closer to its release, as One More Level reveals a new release window for Fall 2026. The news came as part of Valor Mortis' inclusion in the Triple-I Initiative Showcase 2026, where it showed off new gameplay and capped off the trailer with [β¦]
Read full article at https://wccftech.com/valor-mortis-release-window-ps-ps5-xbox-triple-i-showcase/

Apple is beginning to lay the critical groundwork for its next-gen custom chips, including a much-anticipated server chip, dubbed Baltra, as per a new analysis from Morgan Stanley Apple is increasing its reservation slots for TSMC's SoIC packaging tech in anticipation of its next-gen custom chips, including the Baltra ASIC Morgan Stanley has noted in a fresh analysis that Apple is "ramping up" SoIC-related activity at TSMC: "Apple is materially ramping SoIC capacity at TSMC, pointing to a major push in Apple silicon for AI servers. TSMC (covered by Charlie Chan) is expanding its SoIC (System on Integrated Circuit) capacity, [β¦]
Read full article at https://wccftech.com/apple-is-materially-ramping-soic-capacity-at-tsmc-as-it-prepares-for-its-baltra-asic-m5-pro-max-m6-pro-max-chips-with-60k-capacity-equivalent-wafers-reserved-for-2027/

Amazon announced more changes to its gaming-focused service, Amazon Luna today, after it re-launched the brand last year with a renewed focus on social and casual experiences like an "AI-powered improv courtroom game" featuring the rapper Snoop Dogg. Starting today, April 10, 2026, the platform will no longer let players purchase games from third-party stores or purchase subscriptions from third-party platforms. It will also stop supporting its Bring Your Own Library service, and no, you can't get a refund for any of your third-party purchases. In case you weren't already aware, Amazon Luna had previously allowed players to purchase games [β¦]
Read full article at https://wccftech.com/amazon-luna-removes-third-party-game-store-purchases-and-subscriptions/

Amazon's CEO, Andy Jassy, issued a letter to shareholders about the company's custom chip business, and his words showed strong optimism about the in-house infrastructure stack. Amazon's Andy Jassy Hints Towards Selling Their Custom Silicon To External Customers, Given Their Internal Success There's no doubt that hyperscalers are experiencing what we call a 'compute crunch' today, with current infrastructure unable to meet the demand driven by AI and related services. We have seen giants like Amazon, Google, and Meta resort to custom silicon efforts as a way to address this gap in compute capabilities, but out of the bunch, Amazon's [β¦]
Read full article at https://wccftech.com/amazon-ceo-says-chip-business-is-on-fire-graviton-trainium-now-competing-at-intel-amd-and-nvidia-scale/

SubDelete is a subscription management platform that finds every recurring charge by scanning your bank transactions and lets you cancel them with one click. You can securely connect your bank with read-only access, get renewal alerts, set auto-cancel rules, and track your spending with real-time analyticsβall in one place. Start free to monitor a limited number of subscriptions, or upgrade for unlimited tracking, advanced insights, and priority support. If you just want to cancel something, you donβt need a subscriptionβpay a one-time fee and SubDelete will handle the cancellation for you.
VibeCom is an AI startup advisor that validates ideas, scores them like a VC, researches competitors, sizes the market, and generates a PRD and go-to-market plan in under three minutes. It gives founders a clear scorecard, customer profiles, TAM/SAM/SOM, and a shareable report to help decide what to build. Use it to compare ideas, spot competitive gaps, export ship-ready specs into your dev workflow, and move from concept to launch with a focused 90-day plan.
Thereβs a broad consensus that online reviews β especially Google reviews β should be a top priority for businesses that rely on local customers.Β
Four of the top 15 ranking factors in Google Maps were related to reviews (quantity, quality, recency, and consistency), according to a recent Whitespark survey. Other surveys report that more than 80% of consumers use Google reviews to evaluate local businesses.
For most of these businesses, the solution is straightforward: ask more customers for reviews, and then reply to those reviews. However, if you work in healthcare, youβll inevitably find that things arenβt that simple.Β
From soliciting reviews to responding to reporting fake engagement, medical facilities face unique dilemmas due to ethical standards and federal laws that limit review-related activities. That said, if you understand the obstacles and your options, thereβs no reason you canβt be both competitive and compliant in the arena of healthcare reviews.
After working in healthcare for over a decade, Iβll share the biggest obstacles Iβve faced, along with unique solutions.
Years ago, I was assisting a therapistβs small private practice with local SEO. He only had a couple of reviews, so I pointed that out. Thatβs when he told me he wasnβt even allowed to ask for reviews.
At the time, I was certain he must be mistaken. To my surprise, it was actually part of the code of ethics from the American Psychological Association (APA), which explicitly states therapists and psychologists canβt solicit testimonials from their clients (due to concerns of undue influence).Β
With that in mind, the lack of reviews was certainly understandable, but it was still a problem for local SEO. And Google doesnβt seem to make any exceptions for the mental health field.Β
After working with many more clients and employers in the mental health space since, this has proven to be a recurring obstacle. Mental health professionals need visibility on Google the same as any other local business, but one of the best ways to achieve that visibility isnβt even allowed in their field.Β
The result, unfortunately, is that the practitioners who follow their ethics rules are often those with the least visibility on Google.Β
The good news is that there are still ways to get reviews without crossing those ethical boundaries β although it might require utilizing some outside-the-box solutions.
A few years ago, I started working with an addiction treatment center that had been doing well with reviews until a new local competitor opened and exceeded both the number of reviews and the average rating in less than one year (despite the clientβs nearly 10 years in business).
This competitor was increasingly outperforming them in local search, so something had to be done. However, my client wasnβt sure how they could have received so many reviews without crossing ethical boundaries.Β
To outpace and keep up with this competitorβs reviews, we needed to secure 50 to 100 reviewsΒ andΒ maintain a rate of at least one review per week. The problem was that the client hadnβt received consent from former patients for marketing texts or emails, and they also knew they couldnβt make soliciting reviews a day-to-day part of the clinical staffβs work.
Since the APA ethics rules primarily govern psychologists and clinicians, and because the reasoning behind the APA guidance relates to patients having undue influence, we determined that individuals who opted into alumni engagement and who were no longer in active treatment could be asked for a review (and only by non-clinical staff).
We decided it made more sense to focus on expanding the alumni program rather than facing the review dilemma head-on or in a vacuum because:
So, we enacted the following:
In less than a year, we were able to generate 100 new reviews, outpacing the competitor. The average rating also improved from 4.6 to 4.8, which was also better than the competitor.
In the second year, an additional 100 reviews were gathered, which meant we generated more reviews in two years than the first nine years of business combined.


As of February 2026, the facility is just shy of 500 reviews, still averaging at least one review per week β without crossing any ethical boundaries.
If you want to duplicate this review strategy, hereβs the summary:
For third-party agencies and freelancers: If you help a healthcare client with an SMS service or share information about patient identities in any way between a βcovered entityβ and a third party, there should be a business associate agreement with those third-party vendors.
What not to do when generating reviews:
If youβre a therapist or psychologist who canβt rely on non-clinical staff to request reviews, you arenβt without options. Some other things Iβve had success with include:
In addition to getting reviews, replying to them is also important. While medical businesses can post replies to reviews, the subject matter in their response is regulated.
Merely acknowledging that a reviewer was a patient could be a risk under the Health Insurance Portability and Accountability Act (HIPAA) β even if the patient had already revealed as much in their review. Thatβs because HIPAA only regulates what providers share.
Patients are free to share whatever they like about themselves online, but that doesnβt change the providerβs legal responsibility to protect health information. (One California hospital learned that the hard way in 2013 with a $275,000 settlement after a spokesman commented to the media, stating that a patientβs medical records contradicted their own accusatory Yelp review.)Β
Generally, you should avoid acknowledging that the reviewer was a patient to remain compliant under HIPAA. Instead:
While not legal advice, here are some example templates I often use when replying to reviews:
Negative review reply template:
Positive review reply template:
Why these work:
You also canβt tell Google whether someone was a patient. This applies when reporting a review as fake engagement β claiming someone βwasnβt a customerβ can be risky if youβre a covered entity under HIPAA.
Instead, focus on other types of review violations. One of Googleβs review policies regarding βmisinformationβ can be helpful in the healthcare industry.
Some of the other Google policies that can lead to the successful reporting of healthcare reviews include:Β
When you report reviews to Google, be sure to:
Healthcare review management can be a compliance exercise, but the good news is you donβt have to choose between compliance and local SEO. You just have to build a review system designed for this industryβs reality:
Done right, you can grow local visibility, protect patient privacy, and sustain review consistency β just like any other industry.

Hi,
Investigations are still ongoing, but it appears that a secondary feature (basically a side API) was compromised for approximately six hours between April 9 and April 10, causing the main website to randomly display malicious links (our signed original files were not compromised). The breach was found and has since been fixed. Sorry for the inconvenience. I did my best to fix that mess as soon as possible :-/
Sam.
Samsung is not breaking the mold with any of its upcoming foldables, barring perhaps the Galaxy Z Fold 8 Wide, and the Galaxy Z Flip 8 is shaping up to be no exception, as per its latest CAD renders. Samsung Galaxy Z Flip 8 resembles its predecessor down to a tee OnLeaks has now published some of the first CAD renders of the Samsung Galaxy Z Flip 8, showing a device that bears the dimensions of 166.8mm x 75.4mm x 6.6mm when unfolded and 85.4mm x 75.4mm x 13.2mm while folded. This means that the Flip 8 is just around [β¦]
Read full article at https://wccftech.com/samsung-galaxy-z-flip-8-renders-show-a-flip-7-look-alike-and-an-utter-lack-of-imagination/

Yesterday, we reported on accusations from former and current workers of Gunzilla Games that the studio had not been paying its workers, in some cases, "for many months." Several developers came forward to share that they are still waiting on pay owed for work they did, calling out the studio's leadership for trying to convince them to work for free to work towards 'an idea.' Well, the studio's leadership, chief executive officer Vlad Korolev has responded in a lengthy post on X (formerly Twitter), denying the accusations and calling them "a new narrative from haters." A brief reminder, Gunzilla Games [β¦]
Read full article at https://wccftech.com/gunzilla-games-ceo-responds-to-accusations-of-not-paying-workers-calls-it-narrative-from-haters/

At 'Em delivers a simple daily briefing that combines your calendar, local weather, and reminders so you know exactly what's ahead. Set morning and evening times to get concise notifications with your events in order, temperatures, chance of rain, and quick tasks.
Available now on iOS with Android coming soon, At 'Em keeps data on your device and never tracks, stores, or sells your information. It reads your calendar and reminders locally and only uses your location to fetch local weather.
VeloGuardian is a network security platform that protects every connection across your devices and sites. It combines WireGuard-based VPN tunnels to encrypt traffic, DNS filtering with 90+ categories to block malware, ads, and phishing, and gateway appliances with zone-based firewalls to secure your perimeter. Use one product or combine them for layered protection, easy setup, and a strict zero-log policy.
LLMs have become a starting point for nearly everything β work, play, consumerism, health, and more.
But one thing gets overlooked: how they finish answering prompts. They donβt β and that matters.
They operate in a βno, you hang up firstβ mentality. The prompts we enter donβt just end. LLMs βnudgeβ us to continue the conversation, offering to take the next step.
βWould you like me to create that travel itinerary for you?β βWould you like me to compare the Nike and New Balance running shoes and tell you which is best for a marathon?β
These nudges make it easy to keep going. Most of the time, I enter βsureβ or βsounds good. Thank you,β and move to the next step to see what it provides.
These nudges drive consumer behavior. Where LLMs take us matters.
If youβre a premium brand and the LLM suggests a price comparison, you may not like it, but you need to understand it so you can react.
We analyzed how different LLMs use these nudges across prompts and platforms to understand the patterns shaping user behavior β and what they signal for brands trying to stay in control of the journey.
LLMs provide different types of follow-up suggestions. Overall, 45% of mentions are budget- and deal-related. While not evenly distributed, budgets and deals are treated as the default of what consumers want to see.Β
Perplexity and ChatGPT are over 60% budgets and deals. Meta is the only one that doesnβt make that assumption at the same level.
The second biggest recommendation type is product comparisons. LLMs offer to compare various products, including financial services products, health treatments, and retail products. All industries see suggestions for comparisons.
Another key point: much of the current thinking urges you to provide LLMs with detailed technical specs. But those make up a small share of these suggestions. That doesnβt mean content lacks ranking value β it does β but itβs not how LLMs usually extend conversations with users.

We also analyzed the dominant nudge style across platforms. Each LLM uses a distinct tone when continuing the conversation. How these systems guide users forward reflects the personalities they present.
| Platform | Dominant nudge style | Key characteristic |
| ChatGPT | βIf you wantβ¦β | Heavy commerce focus: Primarily nudges toward deals and product comparisons. |
| Microsoft Copilot | βIf you tell meβ¦β | Interactive/clarifying: Frequently asks for more user data to refine its recommendation. |
| Google Gemini | βWould you like meβ¦β | Polite and permission-based: Exclusively uses this formal invitation to continue helping. |
| Perplexity | βI can helpβ¦β / βIf youβd likeβ¦β | Service-oriented: Uses more varied phrasing to offer utility and assistance. |
| Meta AI | βLet me knowβ¦β | Casual and passive: Primarily nudges toward product comparisons and specs with a less aggressive, βstanding byβ tone. |
These nudges are designed to keep the conversation going and push users to explore further. They drive consumer behavior and shape the customer journey.
Over time, weβll be able to better optimize for them as more data becomes available. For now, insights are limited to individual responses, with no way to connect conversations.
The actions to take fall into three buckets, mostly tied to the content you create across onsite and offsite channels:
The LLM landscape will keep evolving quickly as these platforms become the primary interface for consumer research and decision-making. Your priority now is to understand how LLMs talk about your brand and how those conversational nudges affect users.
By analyzing these automated suggestions across platforms like Gemini, ChatGPT, and Perplexity, organizations can see how consumers are being directed β whether toward budget-friendly alternatives, product comparisons, or technical specifications.
Recognizing these patterns lets you move from passive observation to action, keeping your value proposition clear even when an LLM reframes the conversation around price or competitors.
Tracking this shift is key to maintaining brand authority as AI-driven interactions shape the customer journey.

CPUID has been hit by a malware attack, and CPU-Z/HWMonitor downloads were affected CPUID, the group behind CPU-Z and HWMonitor, were hit by a malware attack between April 9th and April 10th. The attack took place for βapproximately six hoursβ and caused the website to display malicious links that would cause users to download malware. [β¦]
The post CPU-Z and HWMonitor have been hit by malware β CPUID responds appeared first on OC3D.

The newest price cut observed by Amazon brings Appleβs 14-inch M5 MacBook ProΒ closer to an incredibly well-rounded machine thatβs easier on the wallet because of the $200 discount. Now, you donβt just get a powerful portable Mac with 16GB of unified RAM, but the memory is paired with a 512GB SSD, all for $1,400. Now, is this a steal of a deal or what? The latest price plunge is the highest applied to the 14-inch M5 MacBook Pro, but the discount is only available on the Space Black version For the majority of users, the 16GB RAM and 512GB SSD [β¦]
Read full article at https://wccftech.com/m5-macbook-pro-drops-to-1400-on-amazon-thanks-to-200-discount/

Talk about the shortage? Micro Center seems to have plenty of memory and storage drives, but the volatile market keeps pushing the prices up. Micro Center Packed With SSDs And RAM Spotted Selling 2 TB SSD At $699, And 128 GB DDR5 Memory Kit At A Whopping $4199 Looks like some retailers have enough for their inventories, but you still can't escape the inflated prices. Micro Center is one of the major retailers in the US, and it usually prices its products pretty well. While you will mostly find cheaper hardware in the store, RAM and SSD remain out of [β¦]
Read full article at https://wccftech.com/ram-and-ssds-sell-for-thousands-of-dollars-at-micro-center-even-as-inventory-remains-full/

The Snapdragon 8 Elite Gen 6 and Snapdragon 8 Elite Gen 6 ProΒ are expected to be exclusively mass produced on TSMCβs 2nm βN2Pβ process, making it yet another year where Qualcomm and Samsung cannot come to terms on becoming partners. To be fair, itβs not the San Diego firmβs fault, as a new report states that even the Korean giantβs 2nm GAA node is running into stability issues, to the point that the technology cannot reach the desired benchmark. These limitations have apparently created a rift between the two companies, preventing them from forming a long-term foundry business. With the [β¦]
Read full article at https://wccftech.com/samsung-2nm-process-not-satisfied-qualcomm-quality-benchmark/

Weβre being pushed harder than ever β expected to hit bigger revenue targets with the same or smaller PPC budgets. Even with flat budgets, rising platform costs mean weβre effectively facing a budget cut.
This is the reality of paid media in 2026. But it isnβt all bad news. Efficiency isnβt just about spending less, itβs about spending smarter. Hereβs how to find the waste, fix the fundamentals, and get maximum return from every dollar you invest.
Paid media has shifted dramatically over the last few years, with a greater focus on automation, which has led to hidden data. In parallel, businesses are freezing or reducing budgets while expanding revenue targets, and weβre seeing inflation hit CPCs across most industries, with accounts across our portfolio averaging 10% increases year on year, depending on the industry.
With the expansion into AI-driven automation, this has pushed us further into smart bidding strategies, meaning that where CPCs are rising, you have to be clever with the levers you pull to curtail or minimize these increases.
Meanwhile, customers are spreading their attention across more platforms than ever before, switching between screens and devices, and frequently double-screening.
The question for many businesses is no longer βhow do we spend more?β but βhow do we get maximum return from every dollar we spend?β Getting that answer right starts with an honest look at where money is being lost.
One of the most important (and uncomfortable) truths in paid media is that aggregate metrics hide wasted spend in plain sight.
Common waste zones to investigate include:
Products or keywords that receive spend but generate no conversions are generally loss-making. Before drawing this conclusion, apply impression, click, and spend thresholds to ensure sufficient data.Β
If a product or keyword has surpassed your target, look to stop spend in these areas. You also want to assess for seasonality and review other contributing factors such as:
Products consistently below your viable ROAS/CPL threshold are often hidden within blended campaign performance. Use performance bucketing, and set more aggressive targets to control spend and CPCs for these areas.
High visibility with low return is a common and costly pattern. Optimize your product feed, and apply more aggressive targets to bring these in line. Again, these products will benefit from implementing product bucketing.

Beyond products, a thorough audit should cover:
AI tools can significantly accelerate this analysis. Feeding your data into a well-prompted model can surface patterns that would take hours to identify manually. AI can also help visualize data more clearly and break it down into manageable, easy-to-understand segments.
When budgets are tight, funnel prioritization becomes critical. Not all spend is equal, and the hierarchy matters.
This is where the highest intent and highest return live. Protect this budget as much as you can, but also assess whether other channels can pick up some of this slack. For example:
For established brands, this is where the majority of the budget will sit, supporting the pipeline. These users have an active need for your product, and you should prioritize appearing for these searches/users. Again, consider the need for paid ads.Β
Valuable for long-term brand building, but is usually the first area to be trimmed when budgets are under pressure.Β
You should try to maintain a level of branding, or you end up passing the issues down the road, as you are unable to build a future pipeline. In Google Ads, campaign types like Performance Max allow full-funnel targeting.
Creative is no longer just a brand awareness nice-to-have. Itβs directly correlated to campaign success.
Google and Meta campaigns rely heavily on creative variation to test and optimize. Without sufficient variants, the system runs out of testing capability, and performance plateaus over time as frequency increases.
Campaign types such as Performance Max (Google Ads), GMV Max (TikTok), and Advantage+ (Meta) are heavily restricted without sufficient creative. This results in inefficient spending.
AI can support creative production, but strong messaging and strategic clarity still matter most.
Platform attribution has become more fragmented and broken over the years, but many advertisers are unsure how to address this and move forward.
Elements such as cross-device behaviors, iOS privacy changes, consent mode, and GDPR, modeled data, plus the platformβs bias toward claiming conversion credit mean that in-platform numbers should be treated as optimization signals, and not sources of truth.
Using blended metrics gives a cleaner picture of actual efficiency, and can help you establish how your paid media efforts are working:
Building a reliable measurement framework follows a clear sequence: fix your base tracking first, build a blended view of performance, use in-platform data for optimization signals only, and apply incrementality testing when making significant budget decisions.
Incrementality testing allows you to use treatment and holdout groups to clearly establish whether a new campaign or platform launch, for example, has added incremental value.
AI and automation offer real efficiency gains, but only when applied with thought and control. The biggest mistake is automating decisions that require strategic judgment, or removing human oversight from areas where context matters.
Safe to automate:
Keep human oversight:
Scripts for product bucketing are a particularly high-value area of automation. Automatically labeling products based on performance criteria allows for continuous, data-driven management without manual intervention.

PMax works well when you have a strong product feed, sufficient conversion volume, high-quality assets, clear audience signals, an appropriate budget, and effective conversion measurement in place.
Without these conditions, the risks can be high, and can hide troublesome metrics among the averages. This can include:
Get the foundations right before leaning into automation.
Choosing the right bidding strategy matters as much as setting it up correctly:
| Strategy | When to use | Watch out for |
| Target ROAS | 30+ conversions/month with a clear ROAS target | Too high throttles spend; too low creates wasted traffic |
| Target CPA | Lead generation, where dynamic revenue isnβt tracked | Works best with consistent CPA; wrong targets cause delivery to spiral |
| Maximize Conversion Value | When you lack sufficient data to set a ROAS target | No bid ceiling, monitor CPCs and budget closely |
| Maximize Clicks | Upper funnel only, where traffic volume is the goal | Ignores the bottom of the funnel entirely |
If your paid media budget is under pressure, the highest-leverage moves are:
Done well, efficiency can give you a competitive advantage, and itβs available to any team willing to look honestly at where their spend is actually going.
Measurement is the foundation for everything we do in performance marketing. Without accurate measurement, what we recommend, implement, and optimize is, at best, guesswork. Maintaining accurate measurement is more challenging than ever β and getting harder.Β
Regulatory crackdowns and increased privacy concerns, alongside longer multi-touch journeys, are compounding to create a measurement crisis. Brands still using decade-old tactics wonβt be able to overcome modern measurement challenges.
If your brand falls into this category, itβs time to rebuild your measurement foundation β from integrating first-party data (crawl), to creating cross-channel reporting for actionable insights (walk), to advanced media mix modeling (MMM) and incrementality testing for true incremental media lift (run).
Without integration of first-party data into your performance marketing channels, youβre fully reliant on third-party signals. While these metrics can be helpful, theyβre surface-level signals and donβt show how channels impact your business goals
The first step is integrating your customer relationship management (CRM) data into your paid media platforms. This includes:
You might be uploading lists today, but integration improves targeting by connecting to up-to-date audience lists for media platform targeting.
For lead gen businesses, the next recommended step is setting up offline conversion tracking (OCT). It shows the bottom-line impact of your media on sales. The integration passes sales data back to the platforms for campaign attribution.Β
With OCT in place, you can optimize for lower-funnel, higher-quality conversion steps in the sales cycle or even begin optimizing toward revenue to improve your return on ad spend.
Setup is simple. You add a click ID to your form and then pass it from the platform to your CRM. Most of the top CRMs today, like Salesforce, integrate directly with platforms for easy implementation.
To gain momentum from crawl to walk requires a heavier uplift, shifting from client-side tracking to server-side tracking.
Client-side tracking is the default process for passing conversion signals from your website to your media platforms. The userβs web browser sends that signal, allowing for cookie loss, ad blockers, or strict browsers like Safari to muddy the signals and reduce data accuracy.
With server-side tracking, instead of relying on the userβs browser, you use a dedicated tagging server to capture signals from your website and send them directly to the platforms. This bypasses browser-based tracking and relies on your first-party data. It keeps your data accurate and resilient as privacy restrictions increase and cookies disappear.
You have two main integration methods:
How you set up server-side tracking depends on the paid media channels you use, your tech stack, and your integration method. Both options require a dedicated cloud hosting server, which adds cost, but itβs worth it to better understand your media investment.
With a stronger measurement foundation in place, the next step is to break down platform silos and see the full ecosystem.
With server-side tracking in place, youβve created a clean data pipeline. Last-click and first-click attribution give full credit to the first or final step, ignoring the full-funnel path a user takes.
Platforms offer advanced attribution models, like Googleβs data-driven attribution, but they still favor and silo data within their own platforms. For example, a user clicks a Meta ad, then searches and converts on a Google ad. In this case, each platform claims the conversion.
The solution is to use a data warehouse, such as BigQuery or Snowflake, to centralize your data from your website, CRM, and other platforms. From there, you can apply custom logic to build a multi-touch attribution model that stitches your data together using your first-party identifiers to see the full journey and attribute across the ecosystem.
With evolved attribution, a unified reporting dashboard will merge the platform performance data (views, clicks, impressions, etc.) with your integrated first-party conversion data (using server-side tracking and advanced attribution). There are many dashboard builders β the easiest being Looker Studio, as it integrates directly with BigQuery and Snowflake, making it effectively plug-and-play.Β
With a dashboard in place, you can now visualize the data across the funnel to gain actionable insights into which platforms are driving volume, converting, and impacting your bottom line.Β
You now have a detailed, day-to-day view of performance of user-level events and insights. But key questions remain.
Understand the full impact of your media investment and tactics at a macro level requires media mix modeling and incrementality testing.
Think of MMM as your compass guiding strategy. It provides a holistic, mathematical source of truth for your paid media investments by measuring the relationship between your media inputs and business outcomes (revenue or leads) over time.
This isnβt a day-to-day tool. You typically use it on a 3-, 6-, or 12-month cycle, depending on your data volume, and it requires 2+ years of data to account for seasonality and promotions. The model then runs a regression analysis to determine the relationship between your inputs and business outcomes.
With MMM, you get channel-agnostic insights that remove platform bias. It helps you answer key questions about diminishing returns, budget allocation, and the impact of upper-funnel investment on revenue. That clarity helps you make smarter decisions for the next quarter, half, or year so your marketing dollars drive maximum impact.
Incrementality testing validates both MMM and your marketing efforts. It measures a single tactic or channel by splitting your audience into two groups: a test group that sees the tactic and a control group that does not. It compares results between the groups, with the difference representing incremental lift.
You can split test and control groups using user-level holdouts, individual-level tracking, or geo-level holdouts when individual tracking isnβt possible. It answers a core question: if a user didnβt see the ad, would they have converted anyway?
This shows the true lift of a specific platform or tactic and helps you decide whether to stop bidding on brand terms for existing customers. It can also calibrate your MMM.
For example, if MMM reports paid social drives $1 million in revenue, but an incrementality test shows lift closer to $500,000, you can feed that back into the MMM to improve future forecasts.
With first-party data integrated through server-side tracking, cross-channel reporting, and custom attribution, youβve built a strong measurement foundation.
Guided by MMM and validated with incrementality testing, youβre ready to sprint β with a system that helps you make better decisions and clearly show the impact of every investment.
Microsoft has officially removed Copilot from several Windows 11 applications The newest Windows 11 Insider build has removed Copilot branding from several applications, including Notepad and the Snipping Tool. This is part of Microsoftβs plan to walk back on some of its unnecessary Copilot integrations. While Notepadβs newest version no longer includes a Copilot button, [β¦]
The post Microsoft removes Copilot from several Windows 11 apps appeared first on OC3D.



Google's Mueller answers whether links pass negative signals and says unhelpful links may be ignored.
The post Google Answers If Outbound Links Pass βPoor Signalsβ appeared first on Search Engine Journal.
The PC industry is entering a 'tough period', as IDC warns that the upcoming quarters could be very difficult for both vendors and customers, due to the current market conditions. PC Shipments Did See a Modest Growth In Q1, Driven By Buyer Interest to Get Protection From the Upcoming Price Hikes The consumer market has been difficult to navigate for the past few months, as shortages of key components like CPUs, GPUs, memory, and SSDs have prompted retailers to hike prices, giving the impression that the shortages have been factored in. However, OEMs have now held off on price hikes [β¦]
Read full article at https://wccftech.com/the-real-test-for-pc-buyers-starts-this-quarter/

Two of the most popular hardware monitoring utilities have been compromised as they have been flagged by Anti-Viruses with malware. HWMonitor 1.63 and CPU-Z Download Flagged as Malware; Users Report Unexpected Installer and Antivirus Warnings Some concerning reports regarding popular hardware monitor tools, HWMonitor and CPU-Z, have been surfacing on social media. According to the reports, users who are attempting to download their latest versions are receiving a suspicious installer flagged by Antivirus software. This raises concerns and puts millions of devices at risk as the download channels appear to have been compromised. The issue first surfaced on Reddit, where [β¦]
Read full article at https://wccftech.com/latest-cpu-z-and-hwmonitor-software-versions-have-been-infected-with-malware/

Like its predecessor, The Super Mario Galaxy Movie seems destined to go down as one of this year's most divisive films, which is kind of odd when you think about it. These generally inoffensive crowd-pleasing movies based on a near-universally-beloved IP, carefully shepherded by Shigeru Miyamoto himself, probably shouldn't be getting folks so riled up, and yet! Following in the footsteps of 2023's The Super Mario Bros. Movie, professional reviews for The Super Mario Galaxy Movie have been witheringly negative, and to listen to some folks, the flick represents nothing less than the demise of cinema. An egregious example of [β¦]
Read full article at https://wccftech.com/review/the-super-mario-galaxy-movie-review/

Dune Awakening developer Funcom has outlined some major changes coming to the game soon. First and foremost, there's the fact that the game is essentially pivoting to be PvE-first. Funcom said that over 80% of the game's players engaged only with Player-versus-Environment content, forcing the studio to rethink the existing convergence of PvE and PvP towards optional PvP. Starting in Patch 1.3.20.0, the following changes will be introduced to Dune Awakening: Another big news is that the long-requested self-hosted servers are finally on the way. The initial iteration, which will soon be available for testing, will require a few extra [β¦]
Read full article at https://wccftech.com/dune-awakening-pivots-pve-first-self-hosted-servers/

Due to current trade and economic tensions, the price of all computer hardware has been on the rise, including gaming systems such as the PlayStation 5, whose price has once again been increased this month worldwide. Due to these price increases, it has been heavily speculated that the PlayStation 6 will launch at a high price; however, according to an in-depth analysis of manufacturing data conducted by Moore's Law is Dead, the system's price will be pushed close to the $1000 range only if tariffs remain in place and if the current trade tensions do not ease up by the [β¦]
Read full article at https://wccftech.com/its-not-1000-playstation-6-price-manufacturing-data-tariffs/

Inspection Logging centralizes multi-site facility inspections, asset records, repairs, certificates, and reminders in a single system. Teams can set up locations, assign assets, run mobile checklists, attach evidence, and generate polished PDF reports for audits. Managers see whatβs current, due, or overdue in real time, with role-based access and QR labels for fast lookups. Standardize fire protection, life safety, elevators, fleets, and more, add custom services, and keep immutable history with exports and audit logs.
This morning, Phantom Blade Zero Game Director Liang Qiwei (known to the public as Soulframe) posted a lengthy letter on X about the studio's commitment to human artistry and creative expression over AI-generated content. Above all, though, it seems like the studio is quietly withdrawing support for the new NVIDIA DLSS 5 technology. Phantom Blade Zero was and still is officially listed among the first games to support NVIDIA DLSS 5, alongside AION 2, Assassinβs Creed Shadows, Black State, CINDER CITY, Delta Force, Hogwarts Legacy, Justice, NARAKA: BLADEPOINT, NTE: Neverness to Everness, Resident Evil Requiem, Sea of Remnants, Starfield, The [β¦]
Read full article at https://wccftech.com/phantom-blade-zero-dlss-5-withdrawal-ai-visual-tech-artists-intent/

Following the first few patches, which focused mainly on bug fixes, Pearl Abyss has now outlined a brief roadmap of new content and feature additions coming to Crimson Desert between this month and June. To begin with, the South Korean developer will be adding difficulty settings to the game. Players will be able to choose between the three traditional presets of Easy, Normal, and Hard, therefore customizing their experience to be more or less challenging. Crimson Desert players will also be able to challenge bosses again and again after defeating them, thanks to the "boss rematch" feature. The goal, said [β¦]
Read full article at https://wccftech.com/crimson-desert-difficulty-settings-boss-rematches-update/

Trivana turns any topic into an AI-hosted gameshow with Smart Host, an answer-aware voice engine where seven AI hosts celebrate correct answers, roast wrong ones, and deliver unique reactions per question. Drop a URL, PDF, or topic to get a fully voiced gameshow in under two minutes. Players join via a link with no signup required. Use it for corporate training, classrooms, events, or creator communities. Over 2,000 games were created in the first week. A free tier is available, with Creator Pro and Teams plans offering advanced features.
InQery is an AI-enabled IDE for databases that lets you ask questions in natural language and returns dialect-correct SQL and results. It understands your schemas, reasons across tables, and saves every query with SQL, context, and outputs. You can run in-chat analyses and charts via Python in secure containers, use a Monaco-based SQL editor and workbooks, and connect to PostgreSQL, SQL Server, Azure SQL, Oracle, and Snowflake, including private networks via the InQery Connection Agent with mTLS.
Build slides from your data, every claim backed by proof



The First Open Source IPad Note Taking App
Know when your code becomes unmaintainable
Run intelligent workflows directly in your terminal
Your childβs memories, stored in your Google Driveβforever.
The dataset marketplace with built-in quality scores
The most advanced AI avatar model in the world
Privacy-first analytics without cookies or clutter
Turn raw screenshots into launch-ready visuals in seconds.
Personal finance app built for young professionals
Trigger event-based messaging from Stripe, Clerk, Supabase
Give a voice to insects and build your collection
Run every type of event without switching tools
Install ready-made skills for your AI coworker
Craft campaign ready content with a digital twin
AI that synthesize and researches info across multiple apps
Markdown Sidebar for AI Prompts
Ask complex finance questions, get AI-grounded answers
Real-time generative worlds on everyday GPUs
Your Claude Code companion, living in the notch.
Give your AI agents native multimodal capabilities
Run 10 AI businesses at once
Deploy a personal AI Agent on your own computer quickly
The leaderboard for AI-powered developers
Share all your services and get discovered by clients
Your inbox, handled
Minimalist journal app that fades over time
AI Agents with a human expert for hire
Think deeply with your agent
Package Manus workflows into reusable agent Skills
Mobile 3D Vibe Coding Partner
Pair Opus as advisor with Sonnet or Haiku as executor
See your full financial life, bank to brokerage in one place
Track every API and tool you pay for in one place
AI companion for building a clear career path
SISTRIX analyzed German search results after the March core update and found uneven visibility shifts across categories, with some site types hit harder than others.
The post Google March Core Update Left 4 Losers For Every Winner In Germany appeared first on Search Engine Journal.
Replica lets you copy curated, long-term portfolios and own the underlying stocks as tokenized assets held in your personal vault. It focuses on portfolio-level replication, transparent allocations, and direct ownership without broker lock-in. Invest with fractional shares, review complete holdings, and copy with one click. Built on regulated custody, Replica charges usage-based copy, management, and performance fees aligned with outcomes.
Tales of an Image is the visual workspace curators never had. Capture images from any website with a double-click β no screenshots, no downloads, no switching tabs. Organize into collections, build shareable vision boards, and run Reveal to decode the creative story behind what you've saved. Color palettes, style profiles, aligned creators, and curated recommendations β one click turns a collection into a creative brief. Desktop only β Chrome browser required.
An analysis of 400+ websites found five characteristics associated with estimated organic traffic gains.
The post What 400 Sites Reveal About Organic Traffic Gains appeared first on Search Engine Journal.
bluePROmpts is middleware that connects AI agents like Cowork and OpenClaw to a built-in Claude Code engine to plan and ship software. It offers 102 MCP operations to create projects, epics, stories, generate code and Playwright tests, produce documentation, and render tutorial videos. The system learns from your codebase via RAG to reduce token spend over time and supports local deploy previews, reusable templates, and full audit trails with enterprise-grade security and compliance.
Runey brings invoicing, projects, tasks, and client management together so freelancers and small teams can run their business in one place. Create branded invoices, quotes, and proposals, accept payments via Stripe, and share secure links with clients. Track time, convert completed work into invoices, and monitor budgets and cashflow. Keep expenses, customer histories, and KPIs organized on a clear dashboard. Start free and stay on top of every project from quote to payment.
HUMA offers a human verification API to block bots and synthetic users without CAPTCHAs or personal data. Add a single backend call at signup, payment, or other critical events to receive a human flag and confidence score you can enforce in your logic. The REST API aggregates behavioral signals and interaction timing, integrates in minutes, and scales from startups to enterprise with a 14-day free trial.
Sidequick helps you finish side projects by breaking them into quests you can complete one by one. It tracks daily streaks and milestones, writes re-entry summaries with AI, so you always know what to do next, and works entirely offline with no account needed. You can draft plans yourself or bring your own Anthropic or OpenAI key for AI-generated quest trees. The app stores data locally and is free to download for Windows and Linux, with macOS coming soon.

Head of Product Nikita Bier said on the app that the company was βidentifying and suspending 208 bots per minute.β
Β
Companies like Apple, Qualcomm, and MediaTek have benefited greatly from extending their partnership with TSMC, as not only have they developed the most cutting-edge smartphone chipset technology, but the level of performance is uncanny and would likely not be possible without the Taiwanese semiconductor behemoth providing its advanced nodes. Later this year, we shall bear witness to SoCs reaching clock speeds of 5.00GHz, making it the first time in history, with Huawei sadly unable to keep up with its rivals as it doesnβt have access to the foundry giantβs technology. Huawei didnβt jump into EUV lithography fast enough, as its [β¦]
Read full article at https://wccftech.com/tsmc-advanced-lithography-allows-smartphone-socs-to-reach-5ghz-huawei-missing-out/


The deal launched with a documentary premiere and will include exclusive digital experiences for fans in the official WhatsApp Channel and through Facebookβs official page.
The feature was added to Twitter in 2020 but it was removed in 2025 as part of a larger platform reconstruction.

Facebook and Instagram ads from U.S. law firms including Morgan & Morgan and Sokolove Law have been deactivated, according to Axios.
The new digital training initiative is designed to help small businesses in Latin America, Africa and Southeast Asia with promotions and sales.

The long-awaited feature will allow users to revise comments within 15 minutes of posting, but image elements will not be editable.
The development is part of Project Clover, an initiative designed to store EU user data outside of the companyβs home base in China in compliance with EU directives.
FlashAlpha provides a real-time options analytics API delivering GEX, second-order Greeks, and live volatility surfaces for 6,000+ tickers. It calculates per-tick exposures and regime metrics, returning insights like gamma flip levels, call/put walls, and IV-RV spreads via low-latency REST and a Python SDK.
Built on in-memory analytics and auto-scaling compute, FlashAlpha updates every ~15 seconds, supports webhooks to trigger execution, and offers endpoints for multi-Greek summaries, risk, and portfolio scenarios so quants can focus on alpha instead of infrastructure.
A new report from The Hollywood Reporter reveals that a Metal Gear Solid movie is in development, with Final Destination duo Zach Lipovsky and Adam B. Stein behind it. The film is part of a new set of movies Lipovsky and Stein will be making for Sony, as the pair have just been signed to Sony Pictures. Details on the film are still entirely unclear, though the promotional image from Columbia Pictures suggest that it'll be an adaptation of the first Metal Gear Solid game, though it's realistically all still up in the air at the moment. "Metal Gear SolidΒ was [β¦]
Read full article at https://wccftech.com/metal-gear-solid-movie-in-the-works-from-final-destination-adam-b-stein-zach-lipovsky/

While many of us rejoice when gamers get multiple RAM sticks despite ordering a single unit, this has been a nightmare for Amazon retailers, who, interestingly, cannot avoid it. Retailers Are 'Tired' By The Negligence of Amazon's Warehouse Staff, Saying That They Are Dispatching Entire Boxes of Components We have noticed a rather interesting trend among those in the PCMR: those who find it very appealing when Amazon screws up someone's package, ultimately benefiting them. We have reported numerous incidents where a particular buyer orders a unit of a PC component, prominently RAM or SSD, and in return, they manage [β¦]
Read full article at https://wccftech.com/ever-wondered-why-pc-buyers-are-getting-lucky-with-their-amazon-packages-recently-its-a-fiasco-that-has-annoyed-retailers/

Last month, Bungie released its first new game in years (which is technically just a reboot of an old series). Marathon, a new extraction shooter for PC, PS5, and Xbox Series X/S, takes the first sci-fi world Bungie created and brings it into the modern-day gaming landscape, and according to a new report from Paul Tassi at Forbes, Bungie put aside a fair chunk of change to make it. In a report going over the first month of Marathon being on the market and in players hands, at the end of a list of different metrics about the game, Tassi [β¦]
Read full article at https://wccftech.com/marathon-reportedly-cost-over-250-million-to-make-bungie-sony/

Evil Empire's new indie-focused event, the Triple-I Initiative Showcase premiered its 2026 edition today, and it was jam-packed with announcements from indie developers, some of which were brand-new world premieres for games, while others were highly-anticipated updates about previously revealed titles. This round-up will take you through everything that was announced at today's showcase, so you don't miss checking out any of today's announcements, some of which could very well be the defining indie games for 2026 and beyond. Everything Announced at the Triple-I Showcase
Read full article at https://wccftech.com/triple-i-initiative-showcase-2026-everything-announced/

More vendors are coming to rescue the burning 16-pin connectors, and ASUS's latest innovation tries to do it outside of the PSU and the GPU. ASUS Launches ATX 3.1 and PCIe 5.1-Compliant ROG Equalizer Cable to Balance Load Across All Pins on 16-pin Power Connector Since NVIDIA keeps neglecting fixing its 16-pin power connector, its board partners are innovating new technologies/parts to mitigate the issue. With countless melted power connector reports, many refrain from buying the higher-end RTX 50 series GPUs. Many of those who buy them live under constant fear, checking their GPUs now and then. Many vendors started [β¦]
Read full article at https://wccftech.com/asus-debuts-rog-equalizer-12v-2x6-cable-to-protect-gpu-connectors-from-melting/

When Samsung and SK hynix vow to only sell DRAM via long-term contracts going forward, it naturally prompts uncomfortable questions regarding additional price upside. After all, why would these companies try to lock in today's DRAM prices if substantial upside lies ahead? The newfound penchant for long-term DRAM supply contracts from Samsung and SK hynix suggests there might not be a lot of price upside left ahead According to a recent report from South Korea, Samsung and SK hynix have "virtually abandoned the one-year memory short-term supply contract method with global big tech companies and decided to supply products only [β¦]
Read full article at https://wccftech.com/peak-dram-prices-in-sight-as-samsung-sk-hynix-double-down-on-long-term-contracts/

Spacecraft was one of two major announcements from Shiro Games, the studio behind games like Dune: Spice Wars, Wartales, and more. After its initial reveal back in 2024, Spacecraft as accumulated over 300K wishlists on Steam leading up to its early access release date, which Shiro Games revealed today during the Triple-I Showcase to be next month on May 20, 2026. Spacecraft sets players in a vast universe with multiple star systems, where you can freely explore and build your own space-faring ships to cross galaxies and endlessly explore new planets, while hunting and discovering valuable resources along the way. [β¦]
Read full article at https://wccftech.com/spacecraft-early-access-release-date-shiro-games-triple-i-showcase/

Today, as part of the Triple-i Showcase, publisher 11 bit Studios (Frostpunk, This War of Mine) and developer Carbonara Games have announced Crop, a gritty farming thriller game. The title is targeting a PC (Steam) release first, with console versions to follow, timing still to be determined. Wccftech checked out a press-only presentation ahead of the reveal, and there might be something interesting here. A single-player experience with a main campaign estimated at around 15 hours, Crop opens with your character half-naked, disoriented, and stumbling out of a truck on a dark, eerie forest road in the pouring rain. You [β¦]
Read full article at https://wccftech.com/crop-farming-sim-lovecraftian-mystery/

Developer and publisher Shiro Games has revealed two new titles at today's Triple-I Showcase, one of which is set to arrive next month, and another that will have a playtest as early as next week. This is the latter, Frostrail. An upcoming co-op first-person shooter survival game published by Shiro Games and developed by FakeFish, and it was just shown off with a new action-packed trailer. If Shiro Games rings a bell, that's because they are also the team behind games like Wartales, Dune: Spice Wars, and Spacecraft, which was the studio's other major announcement at today's Triple-I Showcase that [β¦]
Read full article at https://wccftech.com/new-survival-co-op-fps-frostrail-will-have-a-playtest-next-week-new-trailer-revealed-at-triple-i-showcase/

Sunset Visitor, the studio behind one of the best and most beloved narrative-driven games in recent years, 1000xResist, has revealed its next game titled Prove You're Human, a first-person narrative adventure where an AI called Mesa believes she's human. It's Sunset Visitor's second project after the award-winning 1000xResist, and is the first project to be published by Black Tabby Publishing, the brand-new publishing arm of indie developer Black Tabby Games, the studio behind titles like Slay the Princess and Scarlet Hollow. Prove You're Human seems to be picking up right where 1000xResist left off - not narratively, as the games [β¦]
Read full article at https://wccftech.com/1000-x-resist-developer-sunset-visitor-reveals-prove-youre-human-triple-i-showcase/

In late March, Digital Extremes released a version of Warframe natively optimized for the Nintendo Switch 2 console. The studio hailed it as a major improvement over the Switch version, not to mention a significant milestone: it meant the long-running free-to-play action game is now available on all the major gaming platforms. The Android version had launched in February, and the game was already available on PC, PlayStation 4, Xbox One, PlayStation 5, Xbox Series S|X, and iOS. Wccftech sent a few questions to Digital Extremes about the development of the Nintendo Switch 2 version and its features, such as [β¦]
Read full article at https://wccftech.com/digital-extremes-warframe-switch-2-dlss-very-important-540p-60-fps/

TSMC's dominance over the semiconductor industry also stems from how disciplined its supply chain partners have become, and rivals are now looking to capitalize on this edge. TSMC's Supply Network Has Created a Moat For Them In The Chip Industry, After Passing Them Through Stringent QC Tests The Taiwan chip giant has been known for its work in the semiconductor industry, not just in terms of the process technology it has brought into the market, but also how it has created standards that have become industry benchmarks, whether it is customer relations, dealing with geopolitical tensions, or managing the supply [β¦]
Read full article at https://wccftech.com/tsmc-edge-is-so-strong-that-competitors-are-racing-to-work-with-its-supply-chain-partners/

The MacBook NeoΒ is an excellent example of how itβs possible to incorporate iPhone parts into a notebook, but the binned A18 Pro isnβt the only component that Apple has added to its larger machines from mobile devices to streamline its product range with the same parts. In fact, according to a SSD modification, both the MacBook Neo and the iPhone 16 Pro feature the same NAND flash, which is an excellent way to maintain margins while the DRAM crisisΒ is in full effect. A specific NAND flash chip with particular dimensions used on the iPhone 16 Pro and iPhone 16 Pro [β¦]
Read full article at https://wccftech.com/apple-uses-interchangeable-iphone-and-mac-parts-to-gain-dram-protection/

We all know Apple's A-series chips are some of the most efficient consumer-grade processors in the market, with the new A19 Pro chip also meticulously adhering to this well-established pattern. While multi-chip comparisons are a convoluted exercise at the best of times, a single metric - instructions per CPU clock cycle - is sufficient to delineate the unequivocal superiority of Apple's A19 Pro chip architecture versus that of its competitors, which include MediaTek's Dimensity 9500, Qualcomm's Snapdragon 8 Elite Gen 5, and Samsung's Exynos 2600. Apple's A19 Pro chip is an unequivocal winner when it comes to processor efficiency, leaving [β¦]
Read full article at https://wccftech.com/instructions-per-cpu-clock-cycle-apples-a19-pro-chip-beats-dimensity-9500-by-13-snapdragon-8-elite-gen-5-by-10-and-exynos-2600-by-6/

Gunzilla Games is the studio behind Off the Grid, an NFT battle royale title that arrived in early access back in October 2024. It's also the studio backed by District 9 and Gran Turismo film director Neil Blomkamp (who is listed as its chief creative officer), and last year it also became known as the studio that 'saved' long-running publication Game Informer after it was unceremoniously shuttered by GameStop. Now, however, the studio has been accused of not paying its workers "for many months." The accusations come from former and current Gunzilla Games employees, who shared the accusations on their [β¦]
Read full article at https://wccftech.com/gunzilla-games-neil-blomkam-nft-studio-off-the-grid-accused-of-not-paying-workers/

Another batch of games has joined the library of games playable through NVIDIA's cloud streaming service, GeForce NOW, headlined by two new releases, while an old release finally becomes RTX 5080-ready, just in time for its latest major DLC expansion release. Starting with the new games entering GeForce NOW this week, there are four titles in total joining the library. The first two brand-new releases are Samson: A Tyndalston Story, the debut game from independent developer Liquid Swords, and the second new release is Morbid Metal, a hack-and-slash rougelike from developer Screen Juice, published by Ubisoft. Morbid Metal is launching [β¦]
Read full article at https://wccftech.com/nvidia-geforce-now-games-samson-morbid-metal-dayz-rayman/

A new memory record has been made by the popular overclocker Saltycroissant and even though the score couldn't achieve the top position, doing it using ambient cooling is insanely impressive. Saltycroissant Pushes DDR5 Memory to 12,917 MT/s on Z890 AORUS Tachyon Duo X ICE Without Nitrogen Cooling This isn't your original Z890 AORUS Tachyon, which overclockers used to break overclocking records with; it's the newer Z890 AORUS Tachyon Duo X ICE, which GIGABYTE released earlier this year. Having seen DDR5 memory world records getting broken every week or two, a new world record doesn't appear surprising to us, except this [β¦]
Read full article at https://wccftech.com/overclocker-achieves-ddr5-12917-mt-s-on-gigabyte-z890-aorus-tachyon-duo-x-ice-using-ambient-cooling/

With limited reviews available, you will hardly hear about the Arc Pro B70's performance. Here's a sneak peek into the analysis by Hardware Luxx. Hardware Luxx Intel Arc Pro B70 Review Reveals GPU's Performance Against Its Competitors Intel's flagship workstation Big Battlemage GPUs were released roughly two weeks ago, but since then, we have hardly seen any reviews for the Arc Pro B65 and the Arc Pro B70. It appears that the GPUs don't have good availability, and similar to what we heard about the Arc Pro B60 last year, both the newer GPUs may not be that abundant in [β¦]
Read full article at https://wccftech.com/intel-arc-pro-b70-quad-gpu-setup-reportedly-consumes-up-to-720w-in-inference-workloads/

Dell's CEO, Michael Dell, has discussed his estimates of the AI memory supercycle at a recent event, claiming that the explosive demand will persist for several years. If Hyperscalers Do Not Spend Money on Memory, There's a Fear Within Them of Getting Behind the Competition We have been tracking the memory supply chain for quite some time now, noting that the supply-demand gap has widened in the past few quarters; however, questions remain about how long we will see such conditions in the memory industry. Following the recent TurboQuant fiasco and the wider selloff within memory companies, there was a [β¦]
Read full article at https://wccftech.com/dell-ceo-says-ai-memory-demand-will-explode-to-unimaginable-levels-by-2028/

Crimson Desert developer Pearl Abyss recently confirmed it has begun research and development for a possible Nintendo Switch 2 version of the game. According to the tech experts at Digital Foundry, the current generation Nintendo console can likely handle the game at 30 FPS with acceptable image quality thanks to NVIDIA DLSS, but it may be similar to The Witcher 3 Switch port, where some changes were required to get the game running on hardware much weaker than the other consoles of the time -PlayStation 4 and Xbox One. As the Xbox Series S is the system closest to the [β¦]
Read full article at https://wccftech.com/crimson-desert-nintendo-switch-2-30-fps-dlss-witcher-3/


ASUS has unveiled its ROG Equalizer, the cable that might finally make 12V-2Γ6 safe ASUS has officially unveiled its ROG Equalizer 12V-2Γ6 power cable, a new GPU power cable that will soon ship with ASUSβ ROG Thor III and ROG Strix Platinum power supplies. Team ROG also confirmed that this cable is βcompatible with PSUs [β¦]
The post ASUS unveils revolutionary βROG Equalizerβ 12V-2Γ6 power cable appeared first on OC3D.

Nvidia brings DLSS 4.5 to its Nvidia App, releasing 6x and Dynamic Frame Generation from beta Following last weekβs beta launch, Nvidia has officially added all DLSS 4.5 features to its Nvidia App. This has enabled DLSS Overrides for DLSS 4.5 Super Resolution, 6x Frame generation, and DLSS Dynamic Frame Generation, options previously available only [β¦]
The post Nvidia DLSS 4.5 Overrides exit beta for all RTX gamers appeared first on OC3D.
Google is narrowing the scope of its Performance Planner tool, signaling a shift toward conversion-focused campaign types and away from impression-based planning.
Whatβs happening. As of last month Performance Planner no longer supports planning for Display and Video campaigns, and removes access to plans using impression share, top impression share or absolute top impression share metrics.
Why we care. Google is deprioritizing impression-based planning, making it harder to forecast and optimize upper-funnel campaigns like Display and Video within native tools. This could mean a shift toward conversion-focused strategies and automation, meaning advertisers may need to rethink how they plan awareness campaigns and measure success outside of traditional impression share metrics.
The big picture. Google Ads is continuing to prioritize automation and performance-driven outcomes, aligning its planning tools more closely with campaign types like Search, Shopping, App, Demand Gen, Local and Performance Max.
How it works now. Advertisers can still use Performance Planner for supported campaign types, but any existing plans that include Display or Video campaigns β or rely on impression share metrics β can no longer be viewed or edited.
What to watch. How advertisers adapt their forecasting and planning for upper-funnel channels like Display and Video, which now lack native support in the tool.
Bottom line. Google is doubling down on performance-driven planning β and leaving impression-based strategies increasingly on the sidelines.
Metehan Yesilyurtβs SDK analysis revealed the pipeline names. We captured months of real Discover feeds to show what each pipeline actually does β volume, reach, timing, and which publishers dominate. Hereβs what 42 million cards reveal about Discoverβs internal architecture.
Over three months (December 2025 β February 2026), we observed real Discover feeds from hundreds of devices. The result: 42 million feed cards analyzed. We linked each card to the precise pipeline that selected it.
Some of the names were already known from the SDK, You likely saw the SDK Analysis by Metehan Yesilyurt already. What was missing: what each pipeline does in practice. How much content it selects, how many devices see it, how fast it operates, and which publishers it favors. Thatβs what our data reveals.
For each pipeline, we compute four metrics:
Explore all 20 pipelines visually: Open the interactive explorer β

The common assumption: Discover uses a single recommendation algorithm. Our data tells a different story: itβs a structured system with six functional layers, each with distinct logic, speed, and audience.



The six layers:
This is the most distinctive feature of the English feed. Three pipelines form a sequential amplifier:
| Stage | Pipeline | Content mix | Reach | Timing |
|---|---|---|---|---|
| 1. Intake | creatorcontent | 72% YouTube, 23% x.com | 6.7% | Tβ |
| 2. Filter | freshvideos | 94% YouTube | 7.1% | Tβ + 15h |
| 3. Broadcast | neoncluster | 100% YouTube | 13.0% | Tβ + 23h |
At each stage, the content narrows (from mixed to pure video) and reach increases (from 6.7% to 13%). The best YouTube content is filtered, then projected to 13% of devices β broadcast-level distribution.
Growth is explosive across all three stages: creatorcontent 7.8x, freshvideos 7.2x, neoncluster 18x over three months. The video cascade is the fastest-growing part of Discover EN.
In French Discover, this cascade doesnβt exist. neoncluster has 36 hits in 3 months. The conditions β YouTube-dominant social, pure video content, broadcast audience β are only met in English.

AI Overviews β the AI-generated summary card β has been added to Discover. But only in English.

The AI Overviews source club is small and elite: Reuters, New York Times, CNBC, Financial Times, Guardian. Factual, structured, financial press. AI Overviews in Discover donβt democratize visibility β they concentrate it.
feedads is the single most powerful pipeline by reach β 58.4% of EN devices see each ad. YouTube accounts for 53.7% of ads (video advertising dominates). Campaigns run for a median of 57 days. The ecosystem is hermetically sealed: 99.8% exclusive URLs.
For context: the highest-reach editorial pipeline (neoncluster) reaches 13%. feedads reaches 4.5x more. The EN Discover feed is heavily monetized β significantly more than French (24% reach).
The most surprising finding. Premier League content is systematically under-represented across 7+ EN pipelines.
The affected terms: Premier League, football, Arsenal, Liverpool, Chelsea, Manchester United, Tottenham. Each shows strong negative signals in aura, deeptrendsfable, deeptrends, geotargetingstories, astria, freshvideos, and others.
The terms not affected: NFL, NBA, Olympics, rugby, cricket, Formula 1. The exclusion is specific to EPL.

The most likely hypothesis: EPL broadcasting rights and licensing constraints create editorial restrictions that propagate through the selection system. But we canβt confirm this β itβs an observation, not an explanation.


Present in 8-10 pipelines. Guardian shows the broadest spread β top-5 in 12 different pipelines, from content and aura to newsstoriesheadlines and deeptrends. BBC dominates astria (29.3%) and deeptrends (24.7%). mustntmiss gives a ~2x priority boost, and with 29% AI Overviews content, AI Overviews-readiness is now a competitive advantage for quality press in EN.
shoppinginspiration: 13.1% reach, 2.5-day lifespan β a strong visibility window. But shopping is a silo: low co-occurrence with other pipelines. A Samsung Galaxy S25 review stays in shopping.
The opportunity: diversify beyond pure product testing. aura over-represents science/tech content by 2-2.4x. Adding editorial context β a trend analysis, a market comparison β can open doors to aura and content, breaking out of the shopping silo.
The cascade is a 3-stage amplifier. neoncluster at 13% reach is broadcast-level distribution. The content that makes it through: news/politics (WION, NBC β 46% international news), science, and current affairs. Entertainment and gaming are present but donβt dominate.
For a YouTube creator focused on news/politics/science, Discoverβs cascade is one of the most powerful organic distribution channels available β and itβs growing at 18x in three months.
Full per-profile recommendations (quality press, tech, video, local, lifestyle, finance, pure player) will be published in our Substack series.
This article is an overview. The complete analysis β 20 pipelines, per-pipeline data, domain leaders, typical titles β is available:
The Discover system evolves. These findings are a snapshot from December 2025 to February 2026. The video cascade that didnβt exist in December already represents 13% of EN reach in February. Monitoring the evolution β not just photographing a moment β is where the real advantage lies.
Data: 42 million Discover cards, December 2025 β February 2026. Analysis: 1492.vision. Credit to Metehan Yesilyurt for the Google SDK analysis β our data shows what each pipeline does in practice.
DeckCrew provides a managed platform to create role-based AI agents for support, sales, development, website, and content. Agents start from your shared company knowledge, use safe defaults, and request approval before risky actions. Review activity, schedules, handoffs, and audit trails on one dashboard. Bring your own OpenAI or Claude keys, manage role-scoped permissions, and run agents in a secure, isolated workspace. Start with one agent and expand as your team scales.
szn lets you add personal to-do tasks and it plans, books, orders, and handles the details. Share tasks like reserving dinner, finding a personal trainer, or restocking dog food and get timely results ready for your review. You confirm preferences like time, location, or red wine so you stay in control. It lives in your to-do list and quietly works for you in the background, moving you forward every time you return to the list.
Traffic from agentic AI sources is rising at Dell, but the impact remains minimal and inconsistent, according to the companyβs ecommerce lead.
The details. Dell is seeing increased visits from platforms like ChatGPT, Perplexity, and Claude, according to Breanna Fowler, head of global consumer revenue programs. But the growth isnβt βearth-shaking,β and agentic shopping has yet to deliver meaningful results, Fowler told Digital Commerce 360.
Agentic AI vs. search. Fowler said that, with or without LLMs and agentic commerce, ecommerce sites βcan do the most good for their customersβ through a βreally great search experience.β
Why we care. Agentic AI is emerging as a discovery layer, but it hasnβt shown signs of replacing core search behavior. You still win or lose on how easily products can be found, whether by humans or AI agents.
The context. Dell ranks highly in emerging AI-driven discovery metrics, despite not being among the largest ecommerce players.
Bottom line. Agentic AI is sending more traffic, but it behaves like a top-of-funnel channel, not a conversion engine. Search β especially on-site β remains the primary driver of ecommerce performance.
The report. Dell use case for agentic AI could revolve around search rather than commerce
YouTube is pushing further into traditional TV-style advertising, signaling a shift that could reshape the viewing experience β and attract bigger brand budgets.
Whatβs happening. Some TV viewers are being shown ads up to 90 seconds long before they can skip, a significant jump from the 30-second unskippable formats introduced recently.
How it works. The longer ad blocks appear primarily on TV devices and may exceed 90 seconds in total length, with the skip option only becoming available after that initial window.

Why we care. YouTube is creating more premium, TV-like ad inventory that allows for longer, more impactful storytelling on the big screen. This opens the door for brand advertisers to run campaigns similar to traditional TV but with digital targeting and measurement. As Google pushes further into connected TV, budgets may increasingly shift toward YouTube as a core channel for reach and brand awareness.
Zoom in. Early reports suggest the format is not tied to video length, appearing on both short and long content, and is currently limited to TV audiences rather than mobile or desktop.
User reaction. Feedback so far has been largely negative, with viewers criticizing the longer interruptions and exploring alternatives like ad blockers or third-party clients.
Context. The test follows recent efforts to monetize more aggressively, including new ad formats and the rollout of a lighter subscription tier offering reduced ads.
What to watch. Whether YouTube expands the format beyond TV and how it balances ad load with user retention.
Bottom line. YouTube is leaning into its role as a TV platform β and longer, less skippable ads may be part of the tradeoff.
What Google are saying. Google released a statement on X saying that they do not have a 90 second ad format.
Thereβs often a disconnect between what a webpage says itβs about and what its audience is actually searching for.
This mismatch has always existed. But the stakes are higher now.
If your page fails to match user intent, it wonβt show up in AI-powered search surfaces. Search engines will find a page that delivers.
You can see the mismatch, but itβs hard to quantify. The data to measure it is already in your Google Search Console account. Below, you can analyze your own pages to see how closely your content aligns with what your audience is searching for.
Most web content today is designed to accommodate multiple target audiences, tens or hundreds of keywords, and brand positioning. As a result, it drifts away from the problems people are trying to solve.
Iβve had this argument many times and learned that observations create interesting conversations, but numbers create urgency and action. In this case, the numbers you need are already in your data, and the intent gap analysis tool uses that data to measure them.
Google Search Console captures what your audience searches for when they find each page. The meta description captures what the page says itβs about. One is demand. The other is positioning.
Intent gap analysis scores the distance between your meta description and your audienceβs queries. Vector embeddings make that score possible by measuring meaning rather than just matching words. The result is a single intent gap score (0-100) that shows how well your page aligns with what your audience is searching for.Β
Googleβs Search Central documentation describes the meta description as βa pitch that convinces the user that the page is exactly what theyβre looking for.β
The meta description also functions as a machine-readable signal. LLMs and generative engines consume it as a compact summary of what the page claims to deliver.
Achieving βdurable visibility in AI ecosystemsβ requires βconsistent metadata, provenance, and trust signals that can be interpreted by search crawlers and generative engines,β IDCβs December 2025 Market Note on brand visibility found.
Scoring a pageβs meta description requires an anchor in audience behavior. Google Search Console provides that anchor β the queries where Google chose to surface your page, regardless of whether the page was built for that intent.
The intent gap analysis tool expresses the gap as a score. In the sample analysis below of LumonHR, a fictional SaaS platform inspired by Severance, the homepage scores a 32.
The meta description uses vague aspirational language that doesnβt match the functional, software-focused queries driving traffic. The page isnβt attracting the audience it targeted.

Dig deeper: How to use AI to diagnose and improve search intent alignment
Search engines now use vector embeddings as a core part of how they match content to queries. Intent matching runs on meaning, not just keywords. When a user searches, the engine embeds the query and compares it against content candidates in a shared vector space.Β
Semantic similarity is one of the signals that determines whether your page gets surfaced, cited, or used to generate an answer, alongside authority, trust, freshness, and other ranking factors.
Vector embeddings let you see your page the way a search engine does.
N-gram analysis and TF-IDF have been the standard tools for analyzing search queries. N-grams surface recurring phrases, revealing the vocabulary your audience uses. TF-IDF highlights which terms matter most in your query set.Β
These approaches match words, not meaning. βSetting boundaries between office and personal timeβ and βmaintaining employee work-life balanceβ share zero words. To a word-matching tool, theyβre separate topics. To a search engine running on embeddings, they express the same intent.Β
When brands match words and search engines match intent, youβre working at a disadvantage.
Vector embeddings encode meaning. An embedding converts text into numbers, allowing you to create a map of relationships rather than a list of terms. When two pieces of text mean similar things, their vectors land close together in a shared mathematical space.
Once your meta description and your audienceβs queries are plotted in the same space, the distance between them is measurable.
Queries close to the meta description align with the pageβs positioning. Queries far from it represent demand the page wasnβt built for. That distance is the intent gap score.
The map below breaks the intent gap into clusters, showing where your page aligns with audience demand and where it doesnβt.

Dig deeper: SEO gap analysis: How to find content and keyword gaps
Clustering your queries into topics reveals which audiences the page is reaching and which itβs missing. Each cluster has two properties:Β
Those two dimensions place every cluster into one of four quadrants: defend, create, optimize, or monitor.
High alignment, high demand. The audience is finding your page for the reasons you built it, and in volume. This is where your topical authority lives.
Protect and reinforce. Keep the content current, and update the meta description if the language has drifted from how the audience phrases their searches.
Low alignment, high demand. The audience is arriving with intent the page was never built to serve. This is demand youβre visible for but not capturing.
Create new content for the clusters that fit your strategy, using the language your audience is already using. Ignore the ones that donβt. Each cluster that passes the filter is a signal for new content.
High alignment, low demand. The page matches what these searchers need, but few are finding it. The content is right. The visibility isnβt.
Investigate the constraint. The alignment is there, but the audience is small. Rankings may be too low, the positioning too narrow, or the topic may need supporting content to grow.
Low alignment, low demand. Some clusters may grow into Create or Optimize territory over time.
Watch for growth. This is often where emerging topics are first detected. If demand increases, re-evaluate.

Dig deeper: How and why to βbe the primary sourceβ for organic search
Hereβs the tool and how to run the analysis on your own pages.
Step 1: Export your page data
In Google Search Console, navigate to Performance > Search results, filter by a single page, and export as a .zip file.Β
Step 2: Upload and score
Upload the .zip file to the tool (your data is not stored) to get your intent gap score. The tool scrapes the meta description, scores every query against it, and clusters the results.Β
Step 3: Explore the map
Each cluster is plotted by alignment and demand. Click any bubble to see the individual queries with clicks, impressions, CTR, and position.
Step 4: Review the breakdown
Every cluster in one view with its quadrant, alignment score, and performance metrics.
Step 5: Get rewrite recommendations
The tool generates recommended changes to your pageβs title and meta description, grounded in the search language from your highest-demand clusters.
Step 6: Share your results
Download the table as CSV or use the βCopy as Imageβ buttons to share individual views with your team.

Dig deeper: How to master user intent with SEO personas
The intent gap score assigns a number to the disconnect, and that number gives it traction. It turns observations into actions you can take in stakeholder conversations, whether that means changing a page or defending it.
Your audience is already telling you what they need. That signal is always shifting. Now you can monitor it, measure it, and close the gap.
The tool featured in this article was created by Robin Tully, co-founder at Forecast.ing.
TeamCalc helps CTOs and finance leaders model engineering teams and see the true fully loaded cost of every role. It breaks down salary, employer NI, pension, benefits, equipment, office space, recruitment, and management overhead using current UK salary benchmarks. You can compare scenarios like contractor vs permanent or London vs remote, get AI recommendations to optimize structure and spend, and export board-ready PDFs and CSVs. Build headcount plans with confidence and share clear, data-backed reports.
2paste.io lets you save, organize, and reuse prompts in one place. Add variables with {{variable}} syntax, fill them in fields, and copy the final text to your clipboard instantly. Group prompts with color labels and projects, search and filter fast, and track changes with automatic version history.
Work keyboard-first with shortcuts, star favorites, and export anytime. Use it for client emails, code reviews, documentation, and more to keep your prompt library tidy and ready to paste.
Update 1.3 earns Death Stranding 2 Steam Deck Verification Nixxes has officially released patch 1.3 for Death Stranding 2: On the Beach, adding new optimisations to the game on PC. This update has earned the game Steam Deck verification. Additionally, this update addresses the performance drops that PC gamers experience when using a sniper rifleβs [β¦]
The post Patch 1.3 optimises Death Stranding 2, earning Steam Deck verification appeared first on OC3D.
Many of us use various generative AI tools to generate marketing ideas and improve ad campaign outcomes.
Prompting can be a powerful alternative to working solo or brainstorming with colleagues. It improves productivity and expands your options.
In this article, Iβll cover some of my favorite marketing prompts for ad campaigns. Use these suggestions to spark ideas for your own prompts.
Prompts quickly give you a range of ad elements β triggers, emotions, actions, and audiences.
You can often repurpose prompt outputs across channels and initiatives β ads, email, landing pages, social media, and offers.
When you get closer to optimal campaigns from the start, you save cycles. Thatβs especially useful for lower-budget efforts that take longer to generate feedback.
The prompts themselves matter. You need to ask strong questions to get useful output from large language models (LLMs).
Feeling stumped? Ask AI tools which prompts they recommend for your situation.
Or use mine. Here are several prompts I use for online ads.
The SEO toolkit you know, plus the AI visibility data you need.
Purchases are often emotional, so it helps to understand your buyersβ emotions.
Use this prompt: βWhat are the top emotional triggers that would make X audience buy Y product?β
For example, I asked which three emotional triggers would make parents buy math learning software for their kids. The LLM identified key triggers and provided hooks and language with scarcity and urgency:
Ask these questions to understand who is ready to buy your product or service:
To avoid wasted ad spend, focus on audiences likely to purchase and avoid those who wonβt.
Keep asking which audiences are most likely to convert. Use the LLMβs rationale for more specific inputs for your ads.
In the math software example, the LLM suggested parents of kids struggling in math would convert best, citing high urgency and low friction.
The second-best group was homeschooling parents, who are motivated because they manage the full curriculum.
We were already targeting parents of kids struggling in math, but hadnβt considered homeschooling parents. From there, it was easy to create ads and test whether that audience drove conversions.
Overcoming objections is key to making sales. Ask for three to five objections someone might have to buying your product.
In the math software example, the LLM identified these objections:
Then write a persuasive rebuttal for each using logic, emotion, and proof. For βitβs too expensive,β you could use:
Ask an LLM for a detailed psychological profile of your ideal customer. Use questions like:
In the math software example, I asked: βWhat or who do my ideal customers envy?β
One answer suggested parents envy kids in enrichment programs or advanced classes, reflecting a desire for future opportunities.
A message for this target audience: βHelp your child stay ahead instead of playing catchup.β
To thrive long term, focus on customer lifetime value (LTV), not one-and-done sales.
Ask questions like:
For a higher-end furniture brand, we expanded these into a short playbook to increase LTV. The LLM grouped ideas under: βShift from a transactional relationship to a long-term design partner.β
For example, it suggested segmenting your customer base and using direct mail for your highest-potential group (sending a lookbook). Itβs unexpected and sounds old-school, but the potential for higher LTV than broad, generic mailings makes it worth testing.
Your clients value clear priorities and strategic thinking, not just execution. We value that AI tools can support strategy, not just tactics.
When performance lags, itβs easy to ask broad questions about metrics like return on ad spend (ROAS).
But thatβs what everyone else does, and it often leads to generic checklists.
We deal with overlap between B2C and B2B search queries. Focusing on B2B users isnβt always easy, but itβs critical for acquiring high-value, long-term customers.
We noticed a likely driver of a B2B materials clientβs lagging ROAS: average order value (AOV), shown in Google Ads as Value/Conv., had declined. Smart Bidding had shifted toward high-converting but lower-quality sessions, hurting performance.
We asked an LLM to help diagnose and correct the issue.
Using Ads Advisor (Gemini) in Google Ads, the first response focused on trivial consumer use cases, like holiday themes.
After refining the prompt, it returned more targeted, actionable suggestions, saving significant time.
We leaned further into audience targeting, using value rules to emphasize specific Google audience segments and first-party audiences.
AOV increased. This didnβt guarantee higher order values, but it refocused spend on B2B intent and reduced low-priority consumer purchases.
Other business metrics also improved, moving toward growth and profitability.
Start simple β test one or two of these prompts in your next campaign, refine the outputs, and build from there. Over time, youβll develop a repeatable system that turns AI from a novelty into a core part of your marketing workflow.
PPC performance conversations often focus on best practices.
That foundation matters. It creates consistency and avoids obvious inefficiencies.
But itβs not where the biggest gains come from.
Looking back over the past 10 years, many of the most meaningful performance improvements didnβt come from refining those frameworks. They came from testing ideas that didnβt quite fit them β things that felt slightly uncomfortable but aligned with how platforms actually behave.
In practice, Google Ads and Meta donβt optimize toward best practice. They optimize toward signals. Once you think in those terms, your approach to performance changes.
Single Keyword Ad Groups were widely written off as automation improved.
The narrative was simple: machine learning removed the need for granular control. Structure mattered less.
In practice, that wasnβt entirely true.
In several accounts, reintroducing SKAGs on a small subset of high-intent, high-revenue keywords led to immediate performance gains. Query matching tightened, ad relevance improved, and conversion rates increased.
This wasnβt about reverting to old structures across the board. It was about recognizing where precision still adds value.
The takeaway is more nuanced than βSKAGs workβ or βSKAGs are dead.β
Control still matters, but only where intent justifies it.
The SEO toolkit you know, plus the AI visibility data you need.
Broad match has always carried distrust.
Too much expansion. Too little control. Too much reliance on Googleβs interpretation of intent.
In practice, one of the most effective setups combines broad match with aggressive negative keyword management.
Instead of restricting input, you let Google explore β then shape the output.
Search term mining becomes the control layer. You continuously remove irrelevant queries and reinforce valuable ones.
This creates a system where reach expands without fully sacrificing relevance.
The shift is how you apply control.
You donβt control broad match upfront. You control what it learns from.
Target Impression Share is usually positioned as a defensive metric.
Used for brand campaigns. Used to protect coverage. Rarely used for growth.
Applying it to non-branded, high-value terms feels counterintuitive. You prioritize presence over efficiency.
In certain cases, that trade-off is worth it.
By pushing aggressive impression share targets on commercially important queries, you increase SERP dominance and reduce competitor visibility. Conversion volume increases, even if cost efficiency softens.
Here, bidding strategy becomes less about optimization and more about intent.
If your goal is to own a space β not just compete β efficiency canβt be the only metric.
Most lead gen accounts correctly track multiple conversion actions.
Form fills, phone calls, email inquiries β all captured and visible.
The issue isnβt tracking. Itβs interpretation.
When you treat every action equally, the platform has no reason to prioritize one over another.
In one account, assigning values based on the likelihood of becoming an MQL changed optimization almost immediately. Phone calls were weighted highest, email clicks lower, and generic form fills lower.
Switching to Maximize Conversion Value didnβt increase total conversions. It improved their quality.
The distinction matters.
The platform isnβt misoptimizing. Itβs optimizing exactly what you tell it to.
Competitor campaigns are often dismissed as inefficient.
Higher CPCs. Lower CTRs. Messier reporting.
All true.
They also deliver something most prospecting campaigns struggle to create: existing intent.
Users searching competitor brands are further along in the decision process. Theyβre not exploring the category β theyβre choosing within it.
In multiple accounts, competitor campaigns consistently convertedβnot at the lowest cost, but with high commercial intent.
With clear positioning, strong differentiation, and relevant landing pages, they became a reliable strategic layer.
Youβre not creating demand. Youβre intercepting it.
Thereβs a tendency to remove anything that doesnβt convert.
Informational queries. Early-stage searches. Broad, non-commercial terms.
Individually, they rarely justify spend.
Collectively, they influence the entire account.
Introducing top-of-funnel keywords not expected to convert improved lower-funnel performance. Remarketing pools strengthened, audience signals improved, and high-intent campaigns became more efficient.
The value is indirect but measurable.
This challenges a common assumption.
Not every keyword needs to convert. Some build the signal that drives conversion elsewhere.
Audience targeting often starts with a clear hypothesis.
Who the customer is. What they care about. How they behave.
In one account, the data told a different story.
The βidealβ demographic underperformed, while adjacent audiences converted more efficiently.
Instead of forcing the account toward expectations, you follow the data. You shift budget, expand targeting, and improve performance.
This tension is common in PPC.
What you expect to work and what actually works arenβt always aligned.
Thereβs a strong bias toward clean account structure.
No overlap. Clear segmentation. Tight control.
It makes accounts easier to manage, explain, and audit.
It doesnβt always make them more effective.
In several cases, allowing controlled overlap between campaigns, match types, and keyword themes improved coverage and performance. Instead of cannibalization, the system used overlapping signals to make better auction decisions.
This challenges a long-standing assumption.
Structure should support performanceβnot limit it.
In Shopping campaigns, the product feed is often treated as backend work.
Ensure accuracy. Ensure completeness. Then leave it.
But the feed directly shapes how products are interpreted and matched to queries.
Rewriting titles to prioritize high-intent keywords, reordering attributes based on performance, and testing naming variations all improved visibility and CTR.
These werenβt cosmetic changes.
They changed how the algorithm understood the product.
In Shopping, your feed is your targeting. Treating it as static limits performance.
Retargeting is usually treated as the safest part of the funnel.
High intent. High conversion rates. Predictable performance.
That makes it an ideal testing environment.
Using retargeting audiences to test messaging, offers, and creative variations creates faster feedback loops and clearer results than prospecting.
You can then scale winning ideas with confidence.
This reframes retargeting.
Itβs not just a conversion layer. Itβs a testing environment.
Track, optimize, and win in Google and AI search from one platform.
After 10 years in PPC, the biggest shift isnβt the platforms β itβs how they actually work.
Best practices still matter. Theyβre the foundation.
But theyβre not where advantage comes from.
The accounts that outperform understand how signals are interpreted, where systems can be influenced, and when to step outside whatβs considered βcorrect.β
Because the goal was never to follow the playbook.
It was to outperform it.
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Privacy laws are tightening, browser extensions are blocking data, and ad platforms are demanding cleaner data. As a result, how you track user behavior online is changing fast.
Server-side tagging can help you reduce data loss while collecting cleaner, privacy-compliant data.
Hereβs what server-side tagging is, when it makes sense to implement it, and our experience with providers like Elevar and Littledata.
Traditionally, tracking scripts like Meta Pixel or Google Analytics run in the browser. This is client-side (browser-side) tagging. With server-side tagging, those scripts run on a server you control instead of the visitorβs browser.
Instead of the browser sending data directly to multiple third parties, it sends events to a first-party server endpoint (often a Google Tag Manager server-side container). The server processes, enriches, and forwards the data to tools like Meta and Google Analytics β on infrastructure you host (such as Google Cloud Run) or through managed providers like Elevar or Stape.
This allows for:
Beyond these benefits, server-side tagging gives you more flexibility in how you enrich and transform data before it reaches ad platforms.
You can standardize event names, filter out low-quality events, and add custom parameters to improve audience segmentation. This creates a more reliable, unified data foundation across tools like Meta, Google Ads, and Klaviyo, leading to stronger optimization signals and more confident decisions.
The SEO toolkit you know, plus the AI visibility data you need.
Server-side tagging isnβt a one-size-fits-all solution, but for many brands itβs becoming essential. It may be the right choice for you if:
Server-side setups donβt automatically anonymize data, but they give you more control over how itβs processed and shared.
This makes it easier to support compliance with regulations like GDPR, CCPA, and platform consent requirements.
You can apply consent logic, filter or hash sensitive fields, and control which events and parameters you send to each platform based on user permissions.
Client-side tracking can slow page load times.
Server-side tagging helps your site run faster by shifting data processing off the browser and onto the server, boosting user experience and SEO.
Faster pages can improve conversion rates and reduce bounce rates, especially on mobile, where every millisecond counts.
Ad blockers can disrupt client-side scripts, but server-side tagging bypasses many of these limits.
It helps platforms like Meta and Google Ads collect more reliable data for attribution and optimization.
It doesnβt eliminate blocking or consent requirements or recover all lost data, but it can improve signal reliability compared to browser-only setups.
If youβre spending heavily on Meta, Google, or other paid channels, better data accuracy can directly impact your return on ad spend.
Server-side tagging helps ensure conversion events are delivered consistently, allowing algorithms to learn faster and optimize toward higher-value users.
You have two main options: build it yourself or use a service provider.
Building your own setup gives you full control but requires technical expertise and ongoing maintenance. Youβll also need clear documentation and QA processes to keep events accurate as your site evolves and new features launch.
Your setup might look like:
Platforms like Elevar, Littledata, and Triple Whale simplify this by offering turnkey solutions that integrate with tools like Shopify, Klaviyo, Meta, and Google Ads. They handle infrastructure, updates, and many edge cases, so you can focus on strategy instead of engineering.
Weβve implemented Littledata and Elevar across multiple Shopify environments. Each serves a different type of brand, and understanding the difference is key.
We first implemented Littledata for a Shopify brand focused on improving visibility into Klaviyo and strengthening owned marketing channels. In that context, it performed well, passing additional Klaviyo events and improving email-driven reporting.
Littledata is a strong fit for:
Littledataβs affordability makes it accessible if you want better attribution without highly customized, platform-specific data engineering.
In more performance-intensive environments β especially where paid media relies on precise in-platform reporting β weβve seen limitations with fully aligned Meta conversion data and consistent GA4 session and revenue reporting. At scale, even small discrepancies can affect bidding strategies.
Littledataβs support is relatively lean, so resolving nuanced discrepancies may require additional internal validation. If you have in-house technical resources or less aggressive optimization needs, this may not be a major concern.
As you scale paid media spend and demand more precise attribution in Meta and Google Ads, the margin for tracking error shrinks.
Youβll likely reach a point where you:
At that point, you need more advanced infrastructure, deeper data enrichment, and specialized troubleshooting support. When your needs shift, so should your solution.
This is where a solution like Elevar comes in.
Server-side tagging is a technical and strategic upgrade. It:
As privacy restrictions grow and ad platforms evolve, this setup only becomes more valuable. If you invest early, youβre better positioned to maintain strong attribution, build richer audiences, and make smarter media buying decisions.
The goal isnβt just to recover lost data. Itβs to build a more resilient measurement framework that adapts as platforms and regulations change.
Server-side tagging gives you ownership over your data pipeline and reduces reliance on fragile browser-based signals. When implemented well, it becomes a long-term advantage, enabling clearer insights, stronger attribution, and more confident optimization across every channel you invest in.

PUBVOICE converts your articles into high-quality audio and delivers it through an embeddable player. Connect your RSS feed to auto-detect new posts, let AI generate listener-friendly scripts, and choose from 30 adjustable voices. Control creation, delivery, and performance from a single dashboard with metrics like plays, dwell time, and completion rate. Customize the player with CSS, clone voices, and keep content private from AI training. Implementation takes minutes with a lightweight script tag, and early access grants all features for free.



Google's CEO says that informational queries will become agentic search and that search itself will be an agent manager.
The post Googleβs CEO Predicts Search Will Become An AI Agent Manager appeared first on Search Engine Journal.
Intel is taking CPU bending seriously with Nova Lake Intel is reportedly preparing a two-level Independent Loading System (ILM) for its upcoming Nova Lake-S desktop processors. With this solution, Intel aims to put an end to βbendgateβ once and for all. With its new ILM, Intel plans to boost CPU cooling performance by increasing the [β¦]
The post New Intel anti-bend ILM could make CPU Contact Frames obsolete appeared first on OC3D.

Wi-Fi 8 is already taking shape, and while it won't raise peak speeds beyond Wi-Fi 7, it promises something just as important: more reliable, lower-latency wireless performance where it actually matters.
CharmR is an AI-powered conversation training game that helps you practice charming in safe, realistic scenarios. Choose missions like cafes, flights, or nightclubs, chat with dynamic characters, and watch the interest meter guide your approach. You can play head to head with a friend to see who has better charm. Advance through rank tiers from Rookie to Casanova, earn Charmer Points and XP, unlock customization, and track your progress. Play free forever on iOS and build confidence you can use in real life.
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007 First Light is launching on May 27th, unless you own a Switch 2 IO Interactive has delayed the release of 007 First Light on Switch 2. Originally, the game was due to be released alongside the gameβs PS5, Xbox Series X/S, and PC versions. Now, the game will be released much later, targeting a [β¦]
The post IO Interactive Delays 007 First Light on Switch 2 appeared first on OC3D.
Holdings offers zero-fee business banking with 1.75% APY and AI-powered bookkeeping. Open accounts quickly, create sub-accounts for payroll and taxes, and issue virtual or physical Visa cards with spend controls. The platform auto-categorizes transactions and generates profit and loss, balance sheet, and cash flow reports, keeping books tax-ready. Deposits are FDIC insured up to $3 million through partner banks, and you can add a dedicated bookkeeper if needed.
10x is a macOS productivity app for people who want more deep work and less drift. It quietly turns your daily work activity into clear insight so you can see what pulled you off track, when you focus best, and how your habits change over time. Instead of managing another timer or system, 10x helps you understand your real behavior and improve from there. You get daily coaching, focus trends, and practical feedback to protect your attention, repeat your best days, and make steady progress. Your data stays on your Mac, and you control it with pause, export, and delete options.
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Tokenly provides token infrastructure for developers to gift and redeem tokens across registered applications. It lets you reward users, run cross-app incentives, and power referral programs with a single REST API. Register your app to get credentials, send and receive tokens with real value, and track balances and transactions in real time from an intuitive dashboard.
Clear Energy Facts helps Texans compare and choose fixed-rate electricity plans with transparent pricing. It analyzes your historical usage hourly and uses AI to parse each Electricity Facts Label to reveal true costs. Plans are ranked by total monthly cost without paid placement, including Power to Choose offers. You can compare Free Nights, Free Weekends, and bill-credit plans side by side, then enter your ZIP to see 200+ options with clear monthly cost estimates.
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