Here We Go Again, or: Why GPU Bottlenecks Hide True CPU Performance.
Gamers keep demanding 1440p CPU benchmarks, but higher resolutions often hide the very performance differences CPU testing is supposed to reveal. Here's why 1080p still matters most.
During last week's earnings call for its Q4 FY25 and full-year 2025 financial report, Sony's executives admitted they haven't decided on the launch timing for the PlayStation 6 due to ongoing memory shortages, and thus very high prices that could drive the system's launch price past what many consider reasonable for a gaming console. According to known AMD leaker KeplerL2, the only reasonable cutbacks Sony could make without gutting the system heavily to keep its price as low as possible would be to reduce theΒ memory busΒ andΒ the system's RAM. "Nerfing the specs so much kinda defeats the point of having a [β¦]
Read full article at https://wccftech.com/playstation-6-ditch-32gb-ram-sony-scramble-console-price/
StrideFlow is an AI goal planner that builds a weekly schedule around your real life. It audits your availability, work rhythm, sleep and recovery, and recurring commitments, then turns goals into time blocks you can actually follow. Fixed commitments stay put while flexible blocks shift as your week changes, so plans survive surprises and you keep momentum.
RCQ is an end-to-end encrypted messenger that replaces phone numbers and emails with a network-issued UIN. Messages use sealed-sender X25519 and ChaCha20-Poly1305 with Ed25519 signatures, so servers see only ciphertext and the recipient address. You can make peer-to-peer audio and video calls via DTLS-SRTP, join persistent audio rooms, or try five-minute Random Chat. History stays on your device, with no ads, trackers, or analytics, and you can burn your account at any time.
SEO used to be constrained by one thing more than anything else: dependency.
Dependency on developers, roadmaps, and βmaybe next quarter.β
If you wanted a new page template, a calculator, a comparison widget, or even a simple interactive component, you had to ask, wait, and compromise. Thatβs changing fast.
If youβre in SEO or GEO today and youβre not learning how to vibe code, youβre limiting your impact.
A few years ago, building tools like calculators or interactive widgets meant tickets, specs, and dev cycles.
Today, with AI, Iβve personally built dozens of mini apps, tools, and UI components without involving a single developer.
Some of those tools are small. Some are relatively ugly but effective. Some now bring in thousands of organic sessions per month.
Entire pages built around a vibe-coded tool are now outperforming traditional text-heavy competitors.
Even more importantly, Iβve introduced this mindset to my SEO team, and theyβre now building tools on their own to achieve our search goals. That alone changes everything.
SEO teams can now move faster, test ideas immediately, and reserve developers for actual engineering work, including new templates, infrastructure, and scaling.
And yes, thereβs something genuinely satisfying about building a tool yourself, publishing it, and watching it attract traffic month after month.
You donβt need to build fancy things. Just things that get the job done.
Dig deeper: Inspiring examples of responsible and realistic vibe coding for SEO
Everyone agrees on the user persona theory:
What almost no one explains is how to actually present that information.
Historically, SEO handled personas with text:
That approach is already outdated. Today, we can let users self-identify and surface only the information that matters to them.
One example from a brand I manage:
For airport transfers in Majorca, a βfamilyβ persona doesnβt care about the same things as a solo traveler.
They care about vehicle safety, child seats, family-friendly routes, vehicle size, and indicative pricing. That content appears only when the Family tab is selected.
From an SEO and GEO standpoint, persona pain points were sourced directly from Google Search Console and query fan-out analysis.
The component was then vibe-coded and placed where intent needed to be satisfied immediately.
This aligns with how AI platforms already structure answers: segmented, persona-aware, and intent-first.
On one personal project, we launched a brand-new Tools category β ten pages with simple tools, such as:
Each page leads with the tool and uses supporting components to answer sub-intents.
The result? More than 5,000 incremental clicks in two months. Most of those pages were also out of season.
Dig deeper: How to vibe-code an SEO tool without losing control of your LLM
SEOs have never been more capable. The only real limitation left is creativity.
One of the most underrated SEO advantages today is how information is visually presented.
Text is cheap. Everyone can produce it. UI that answers intent instantly isnβt.
Iβve seen:
When competitors list information, we let users interact with it.
These pages still include text. But the text supports the tool, not the other way around.
One page we published targeted a Greek government school financial support program with a high-volume head term, dozens of long-tail queries, and extremely text-heavy competition.
We built:
We tagged the tool as a WebApplication, implemented HowTo schema for the process, and properly marked up the FAQs.
Three days after publishing, the page was already ranking on the first page for the main term and generating about 100 clicks.
Sometimes SEO really doesnβt take that long if you solve the problem better than anyone else.
Some tools are built purely for traffic. Others are designed to become linkable digital assets.
A pregnancy due date calculator, a baby name generator, or a comparison table based on TripAdvisor data isnβt just a page. Itβs a potential PR campaign.
When a digital asset solves a real pain point, looks modern, answers intent better than SERP features, and has clear PR angles, thatβs where SEO, PR, and branding start to collide. Thatβs when things get really interesting.
Dig deeper: How vibe coding is changing search marketing workflows
With MCP servers from SEO tools, you can now surface tool ideas directly from search demand without leaving the chat, assess difficulty instantly, and launch faster than ever.
Iβve built and launched multiple tool pages this way, and the speed difference compared with traditional workflows is massive.
Weβre entering a period where ideation, validation, and execution can all happen in days, not months.
SEO is no longer about who can write the longest article, rephrase the same information better, or game templates. Itβs about who answers intent fastest, removes friction, and builds search experiences instead of documents.
Vibe coding changed who gets to build. And right now, the people embracing it are pulling away fast. If you want to win in modern SEO and GEO, build tools, build components, and build search experiences. Text alone isnβt enough anymore. And honestly, thatβs a very good thing.
Dig deeper: Build your own AI search visibility tracker for under $100/month
Noctuaβs premiere 120mm fans are now available in Chromax Black Itβs official, Noctuaβs best-performing 120mm fans, the NF-A12x25 G2, are now available in Chromax Black. Now, PC builders who dislike Noctuaβs iconic Brown/Beige colour scheme have an all-black option. These new fans are available as a single, standalone fan and as a speed-offset dual-fan pack. [β¦]
The post Theyβre black! Noctua launches their Chromax Black NF-A12x25 G2 fans appeared first on OC3D.
Intel to return to on-package memory with Razor Lake-AX β Leaker claims Intelβs long-rumoured Razor Lake-AX processor is shaping up to be a fascinating piece of silicon. This processor reportedly combines next-generation (post-Nova Lake) CPU cores with a powerful ARC integrated graphics solution (iGPU). Now, according to the leaker Haze2K1, Intel has chosen to pair [β¦]
The post Intel Razor Lake-AX to use on-package memory with a large GPU appeared first on OC3D.
Resident Evil Requiem is among the best-looking survival horror games of the current console generation, but if you are on PC and have the performance headroom to spare, you can push the game's visuals to a level past what CAPCOM intended with the Graphics Enhancement mod now available for free on Nexus Mods. "Resident Evil Requiem ships with a maximum in-game RT setting of High. This mod breaks that ceiling β pushing raster quality further, improving RT visuals across the board, and squeezing out a little extra quality from path tracing as well. Everything is tuned from a clean in-game [β¦]
Read full article at https://wccftech.com/resident-evil-requiem-stunning-mod-path-tracing/
Power supplies for a special protective cable will start shipping soon as Cooler Master begins taking pre-orders. Cooler Master GPU Shield-Compatible MWE Gold V4 Goes On Pre-Order in China; Just Buy Demonstrates GPU Shield Features Not just ASRock and ASUS, Cooler Master has also prepared a special 16-pin power cable for RTX GPUs that aims to tackle connector burning. While first introduced at CES this year, the GPU Shield requires compatible power supplies to operate. Cooler Master did announce the MWE Gold V4 series for the GPU Shield, but it hasn't been out yet. However, it appears that the power [β¦]
Read full article at https://wccftech.com/cooler-master-mwe-gold-v4-pre-orders-begin-in-china-featuring-native-support-for-gpu-shield/
As smartphone demand starts to wane due to the memory crisis, companies have been forced to adjust their shipment requirements for a multitude of components, including OLED panels. As a result, this problem has branched out to the entire industry, as display manufacturers are feeling every bit of pressure due to the DRAM shortage. According to the latest statistics, OLED shipments for the first quarter of 2026 fell by 12 percent, but since thereβs no reason to halt smartphone production completely, Korean firms continue to benefit. Chinese OLED manufacturers like BOE have created a market for themselves amid the DRAM [β¦]
Read full article at https://wccftech.com/dram-shortage-has-caused-smartphone-oled-shipments-to-drop-12-percent/
A few days ago, alongside its quarterly financial report, Sony revealed that it has already embraced AI tools to empower the game development of its own first party studios. More information about this strategy is now available via the Corporate Strategy Earnings Presentation, delivered by Sony CEO Hiroki Totoki and PlayStation President and CEO Hideaki Nishino. Sony's overarching principle is thatΒ human creativity must remain central. CEO Hiroki Totoki set the tone plainly:Β "AI is a powerful tool, but it is not a replacement for artists or creators. It is an amplifier of human imagination and a catalyst for new possibilities". PlayStation [β¦]
Read full article at https://wccftech.com/sony-ai-playstation-studios-human-creators/
It's been more than a year since FromSoftware and Nintendo surprised everyone with the announcement of Elden Ring: Tarnished Edition, a Nintendo Switch 2 specific version of the award-winning open world action RPG that was revealed alongside the console itself. The game was supposed to launch in 2025, but got delayed to 2026 because the developers needed more time to optimize its performance on the weaker system. Now, though, it may be very close to launch, at least according to Canadian retailer PNP Games, which has listed it for an "estimated ship date" of July 10. For the record, that [β¦]
Read full article at https://wccftech.com/elden-ring-tarnished-edition-switch-2-release-date-fps-fix/
JetMeAway is a UK travel scout focusing on "Life, Not Just Lodging." It compares flights, hotels, packages, car hire, eSIM data, insurance, and activities across 15+ providers like Expedia, Trip.com, Aviasales, and Klook. It adds neighbourhood-level Scout Reports covering morning rituals, wellness, privacy hotels, and local intel for over 30 destinations. The service is free with no markups and prices locked at booking. Native iOS and Android apps launched in May 2026.
SchemaGen is a Schema Delivery Network that lets SEO teams deploy, update, validate, and monitor structured data across entire websites from a centralized dashboard. Add a one-line SDK to push JSON-LD to production in milliseconds while bypassing CMS logins and developer queues. Use real-time validation against schema.org, monitor uptime and schema health by URL, and connect Google Search Console to tie deployments to performance. Manage multiple domains and clients, collaborate with teams, and scale schema operations across WordPress, Shopify, and custom sites.
Intel CEO confirms planned Intel/Nvidia products after giving Jensen Huang an Honorary Doctorate Intel CEO Lip-Bu Tan has confirmed that Intel is continuing to collaborate with Nvidia on βexciting new productsβ. This was after Lip-Bu Tan placed a Doctoral Hood on Nvidiaβs Jensen Huang, who has received a Doctorate in Science and Technology from Carnegie [β¦]
The post Intel CEO confirms ongoing product collaboration with Nvidia appeared first on OC3D.
vizz.fm turns your audio into real-time visuals in the browser. Connect a mic, upload files, paste a stream URL, or capture system audio, then pick from dozens of reactive visualizers and fine-tune colors, speed, intensity, and sensitivity. You can layer post-processing effects like kaleidoscope and bloom, save presets, and run full-screen for performances. Capture with OBS for streams or record synced exports for content. Itβs free with no downloads or sign-up required.
OpenPostern monitors third-party vendors and alerts you to real, actionable risks. It pulls daily data from NVD and CISA KEV, checks SSL/TLS certificates and DNS/HTTP security, and scans security news with AI to find issues affecting your exposure. It combines signals into a 0β100 vendor risk score with clear next steps. You can start in minutes by searching its vendor catalogβno integrations or security team needed. Designed for SMBs, it filters noise so you only act when a vendor issue demands attention.
Chaindoc is an e-signature platform with built-in KYC identity verification, payment collection, and blockchain audit trails all in one workspace. Instead of using separate tools for signing, KYC, and payments, teams can handle the full contract lifecycle from one place.
Signatures comply with eIDAS and ESIGN Act standards and are backed by ISO 27001 and SOC 2 certifications. Every signed document has a blockchain-anchored audit trail that is timestamped, hashed, and independently verifiable. It is built for businesses, freelancers, and remote teams needing contracts and payments to work together without friction.
A self-hosted control room for AI coding agents
Track jobs, get matched, and land offers faster
Turn credit into tradable risk
Library to plug-n-switch payment processors
The budgeting app youβll actually use.
Connecting small music artists to Spotify curators
Local predictive memory for AI agents
Screen recording with AI-powered editing for Mac
Voice transcription lives in the Mac notch
Keep your tab groups safe, searchable, and restorable
The website builder that can copy any design on the web
AI soundtrack platform with full licensing
First agentic development environment for mainframe/COBOL
Ship your SaaS with AI, without getting stuck
AI assembles a 3-10 agent team from one sentence
Collaborative hackathon workspace with visible contributions
The fastest way to go from idea to physical product
The screenshot tool that thinks with you
Claude Code planner w/ 31 agents, 92 commands, + 121 skills
Turn any video into endless Shorts & Reels with AI
Payments, tax, and billing for SaaS & AI companies
Ultra-efficient 1.3B vision-language model for mobile
Instant private universal file sharing
Turn astrology and Four Pillars into AI personas you talk to
Ambient agent activity in your notch
Audit your site for the AI search era. 100% Open Source
Publish agent-generated HTML behind company auth
Build, edit, and analyze forms directly in Claude
Your newsletter, your voice, ready to publish in 5 minutes
The AI studio for creating high conversion, on-brand emails
Serious security before public exposure
LeetCode for AI Skills
A pad-based visual performance instrument for Apple products
shareaura/strava overlays for ai coding sessions
Satisfying mechanical keyboard sounds, now on Windows
Write in your own voice with a muse to inspire you
An Apple Health companion that grows with your habits
Your coding agent writes the feature and runs the tests
A deal between Intel and Apple could lead to higher demand for chip manufacturing and bonding machines, suggests a report from Bank of America. Media reports have suggested that Apple and Intel have signed an agreement through which some of Apple's chips would be made by Intel. As of now, Apple is believed to procure its chips from Taiwan's TSMC, and following the reports, BofA is out with some fresh estimates about the deal's value and its impact on the chip manufacturing equipment industry. Intel Could Order As Much As β¬4.6 Billion Worth Of Machines From ASML In Case Of [β¦]
Read full article at https://wccftech.com/apple-intel-chip-deal-could-trigger-e4-6-billion-equipment-frenzy-with-asml-set-to-cash-in-says-bofa/
WriteHybrid provides an AI humanizer that transforms AI-generated text into natural, human-sounding writing while preserving meaning and readability. It serves students, researchers, bloggers, and marketers who want content that passes major AI detectors such as GPTZero, Turnitin, Originality.ai, Copyleaks, and more. The platform offers generous word limits, multiple rewrite tones, priority processing, and team access, with secure, non-retained processing and a 500-word free trial.
Seeker helps you find roles that fit your actual background even when the job title isn't obvious. Upload your resume and Seeker compares it against 160,000+ live openings to surface jobs where your skills, experience, and career path match.
For each match, Seeker explains why the role fits, what skills connect, any gaps that might hold you back, and salary data when available. You can see your top matches free in under 90 seconds, then create an account to unlock more results and save your analysis.
BinderDex is an iPhone app for tracking your PokΓ©mon card collection before prices change. View instant portfolio value, top cards, and performance at a glance. Save grails and follow a focused watchlist so you can act faster without clutter.
Aera is an AI running coach that builds your training through real conversation, like the first session with a human coach. It listens to your context such as sleep, fatigue, and schedule, rebalances your week as life unfolds, and delivers a real debrief after every key session. Unlike plan-generators that lock a static schedule, Aera gives advice and sometimes pushes back, but you always have the final say. Workouts sync to Garmin and Apple Watch; activities flow back from Strava, Garmin Connect, and more. Built by a runner, for runners who want coaching, not templates. Currently in open beta, free.
HeyNews is an AI newsletter writer for operators on beehiiv, Kit, Substack, Ghost, Mailchimp, and Medium. It reads your past issues, learns your tone and signature phrases, pulls stories from your sources (RSS, blogs, social profiles, Reddit, Chrome extension), scores them against your audience, and drafts your next issue in your voice. Smart Select picks the right stories per section. You review and send from your platform. HeyNews never auto-publishes.
Different edition types get different writers, so a Monday deep dive and a Friday roundup keep their own style. Plans from $99/month with a 14-day free trial. Built by a two-person team that uses it for our own newsletter.
After taking a stake in Intel, the Trump administration seems to have taken upon itself the responsibility of filling Intel's order book, be it the enthusiastic courting of Apple's Tim Cook with anecdotes of the "tens of billions of dollars" that the US government has recorded in gains over the past few months as Intel shares surged, or pressuring Tesla to now abandon TSMC in favor of Intel's Arizona fabs. Tesla is reportedly facing concerted pressure from the Trump administration to move the fabrication of its AI6.5 chips from TSMC to Intel Back in April, while discussing the taping out [β¦]
Read full article at https://wccftech.com/tesla-reportedly-moving-the-production-of-its-ai6-5-chip-from-tsmc-to-intel-under-the-pressure-and-insistence-of-the-trump-administration/
AutoSubtitles is a browser-based AI subtitle generator that helps creators make more engaging and accessible video content with accurate subtitles and animated captions. Built for social media videos, podcasts, online courses, marketing content, and more, the platform makes it easy to create polished, professional captions in seconds without complicated editing software. Creators can generate subtitles in 20+ languages, customize styles with animated presets and branding tools, and export ready-to-post videos directly from the browser. AutoSubtitles is designed to increase watch time, improve retention, and streamline video workflows for modern creators and teams.
StackScan shows you what powers any website and helps you find others built the same way. Enter a domain, technology, or topic to see the tools, frameworks, and services in use, with options to filter and export results. Search across 50,000+ technologies and hundreds of millions of websites. Refine by country, TLD, or stack combinations to get relevant results. You can also upload domain lists and enrich them with detailed tech data and additional attributes. Whether youβre researching markets, validating ideas, or building targeted lists, the goal is simple: give you structured, usable data without unnecessary friction.
VirtualBackgrounds generates realistic, on-brand video call backdrops for Zoom, Google Meet, Microsoft Teams, and Webex. Upload your logo and colors, choose refined office styles and lighting, and get high-resolution backgrounds in seconds.
The option would let users hide on-screen function buttons, and is already available on competitor platforms such as TikTok and Reels.
The subscription model lets users pay a monthly fee to disable data tracking for targeted promotions, in line with current regulations.
The event last month was intended to help boost creative collaboration between the most active Spectacles developers ahead of the Specs device release.
The option would give users more opportunity to add context, and potentially generate more engagement with their carousel updates.
The guide offers suggestions for building businesses on the platform and tapping into the evolving creator marketplace.
The platform rolled out a new logo and font as it continues to grow its user base and compete with larger apps such as X for market share.
Β
An Ahrefs report tested whether adding schema markup to pages already cited by AI improved their citation rates.
The post Schema Markup Didnβt Move AI Citations In Ahrefs Test appeared first on Search Engine Journal.
Apple has now publicly rolled out the iOS 26.5 update along with a host of other software updates for its sprawling ecosystem of devices, including iPadOS 26.5, watchOS 26.5, tvOS 26.5, visionOS 26.5, HomePod Software 26.5, and macOS Tahoe 26.5. The Apple iOS 26.5 update is a hefty file, one that is big on bug fixes but light on material feature upgrades Apple has now released the 11.98GB iOS 26.5 update file, bringing new wallpapers along with 2 feature upgrades: Elsewhere, the update brings fixes to over 50 security vulnerabilities in iOS 26.5 alone. Did Apple use Clause Mythos to [β¦]
Read full article at https://wccftech.com/apple-ios-26-5-goes-live-a-12gb-download-file-minor-feature-upgrades-and-lots-of-bug-fixes/
Zyphra has partnered with AMD to launch its brand new open-source AI platform that rivals DeepSeek & is based in the US, all powered by MI355X GPUs. Zyphra Cloud - The DeepSeek of China Is Here & It Is Powered By An All-AMD Powerhouse With 15MW of Compute Through MI355X & Expansion To Future GPUs The Zyphra AI Cloud platform is an inference-optimized service for frontier open-weight models such as DeepSeek V3.2, Kimi K2.6, and GLM 5.1. The platform combines custom kernels, novel long-context inference algorithms, and advanced parallelism techniques to deliver high-throughput, low-latency AI performance, perfect for agentic, deep [β¦]
Read full article at https://wccftech.com/zyphra-amd-launch-open-ai-platform-powered-by-15mw-mi355x-gpus/
TSMCβs slightly advanced 2nm βN2Pβ process has been reported to be utilized by Qualcomm and MediaTek this year, as both companies seemingly want to obtain an edge over Appleβs A20 and A20 Pro. The advantage of moving to an improved node is that these Android chipset manufacturers can target a higher clock speedΒ for increased single-core and multi-core performance. The drawback is that shifting to this technology can risk mass adoption from smartphone makers due to the major cost increases. The first 2nm chipsets from Qualcomm and MediaTek could cost 20 percent more than current SoCs, but itβs likely that these [β¦]
Read full article at https://wccftech.com/qualcomm-and-mediatek-2nm-chipsets-could-risk-adoption-this-year/
Korean customs export/import data has been updated, showcasing the massive DRAM & NAND price surge that will affect global memory and SSD markets. NAND & DRAM Demand Has Swollen To Record Levels & Korean Semiconductor Firms Are Earning Big Time Due To Memory & SSD Price Surges The latest data from the Korean customs import/export department, specifically focusing on DRAM and NAND segments, has been released. As per the new data, DRAM & NAND demand surge can clearly be seen, which has affected all major tech components, with their prices seeing a massive hike of up to 63% in a [β¦]
Read full article at https://wccftech.com/koreas-dram-nand-export-massive-prices-bump-versus-last-month-ssd-memory-up-63-percent/
After nearly a decade of dormancy, one of Nintendo's most beloved franchises is finally making its comeback.Β Star FoxΒ was announced during a surprise Nintendo Direct in May 2026 as a full remake of the classicΒ Star Fox 64, and it's coming sooner than anyone expected. Originally released on Nintendo 64 in 1997,Β Star Fox 64Β put players in the cockpit of Fox McCloud's Arwing as he and his team fought to liberate the Lylat system from the exiled scientist Andross. The game previously received a 3DS remake in 2011 (Star Fox 64 3D); then there was Star Fox Zero, released for theΒ Wii U in [β¦]
Read full article at https://wccftech.com/roundup/star-fox-switch-2-everything-we-know/
Galaxy S26 Ultra may not have the biggest battery capacity or those ultra-sized sensors, or a beefy active cooling solution that includes a noisy fan, but what it does have is a combination of all the strengths of current-generation flagships fused into a single device, making it an all-round package. The best thing about this smartphone is that you can grab it for up to $222 off on Amazon, with the discount applicable on the 512GB storage version and the White finish. Fortunately, other Galaxy S26 Ultra variants have also received a price reduction. Smaller storage options and different colors [β¦]
Read full article at https://wccftech.com/galaxy-s26-ultra-up-to-222-off-on-amazon-on-one-storage-and-color-variant/
Unknown Worlds has opened up pre-orders for Subnautica 2 as the game surpasses 5 million wishlists on Steam ahead of its early access launch later this week on May 14, 2026. Subnautica 2 has reportedly been the most wishlisted game on Steam, and it will almost definitely be one of the biggest launches of 2026 before the end of the year. Even though, technically, it probably should've been one of the biggest releases of 2025 before a legal battle between Unknown Worlds' parent company Krafton and the co-founders of Unknown Worlds overshadowed the game for the past year. After that [β¦]
Read full article at https://wccftech.com/subnautica-2-pre-orders-live-5-million-wishlists/
toflow lets B2B sales teams run outbound with AI agents connected to Claude via MCP. From a single conversation, you can build targeted lead lists, enrich contacts with verified emails and phone numbers, create multi-channel sequences, and trigger smart follow-ups across email, LinkedIn, and WhatsApp. A Chrome extension captures prospects from LinkedIn, Apollo, and more, while shared pipelines, reply tracking, and CRM sync keep your team aligned and deals moving.
Autonomous Accounting automates bookkeeping for Canadian SMBs. Upload receipts, invoices, and bank statements (PDF, image, CSV). AI extracts amounts, vendors, dates, and taxes with deterministic cross-verification. A 4-pass matcher (strict / FX-aware / split-aware / LLM) reconciles documents to transactions. Output is a CRA-compliant Audit Binder β ZIP, 6-year retention, every ledger entry hyperlinked to source. One tier: $12 CAD/month or $99/year. No per-receipt fees. Encrypted storage, zero-retention LLM, no human reviewers. Built solo by Martin Liu in Vancouver. 14-day free trial.
Google is set to automatically link Google Ads accounts with associated YouTube channels β according to communications sent to multiple advertisers β tightening the connection between video engagement and ad performance.
Whatβs happening. Advertisers have received notices that, from June 10, 2026, Google Ads accounts that arenβt already linked to a YouTube channel will be automatically connected.
The update removes the need for manual linking and ensures advertisers can access video engagement data and targeting features by default.
Why we care. Linking a YouTube channel unlocks deeper insights and more advanced targeting options β something many advertisers either overlook or delay setting up.
By automating the process, Google is effectively making video data a standard part of campaign optimisation.
Zoom in. Once linked, advertisers can access organic video metrics, including view counts, directly within Google Ads.
They can also build audience segments based on how users interact with their YouTube content β from video views to channel engagement.
What else. The integration allows advertisers to track βearned actions,β such as subscriptions or additional views driven by ads, and use those engagements as conversion signals.
That creates a clearer picture of how video campaigns influence user behaviour beyond just clicks.
What to watch. How advertisers adapt their measurement strategies once organic and paid video data are combined, and whether this leads to broader use of engagement-based conversion tracking in campaigns.
Bottom line. Google is making YouTube data harder to ignore β turning automatic linking into a default step for better targeting, measurement and performance.
First spotted. Several advertiser reported getting the comms from Google, including Founder of JXT Group, Menachem Ani, founder of PPC News Feed Hana KobzovΓ‘, and PPC Specialist Arpan Banerjee.
AMDβs Radeon RX 9050 8GB GPU leaks It looks like AMD is planning to launch a new, lower-end, RDNA 4-based graphics card. This new GPU uses the same silicon as AMDβs Radeon RX 9060 XT, but runs at much lower clock speeds and has a lower power limit. This makes this GPU ideal for low-power [β¦]
The post AMD Radeon RX 9050 GPU Leaks appeared first on OC3D.
Winhanced gives Windows gaming PCs a cleaner, more console-like experience by combining launchers, controller navigation, and system tools into one streamlined interface. Originally built for handhelds, it's also gaining traction on desktop and living room setups as an alternative to juggling Steam Big Picture, Xbox, and multiple launchers.
AMD has introduced a new plugin called vLLM-ATOM, which supercharges AI LLMs while supporting its Instinct MI350 and MI400 GPUs. AMD Offers Big Boost To AI LLMs With Its vLLM-ATOM Plugin That Works Seamlessly With vLLM & Accelerates AI Inference Performance The vLLM-ATOM is a purpose-built plugin that aims to improve inference performance across various AI LLMs. It is designed around AMD's high-performance Instinct GPU accelerators, such as the MI350 and MI400 series, running both as a standalone inference server or through seamless integration as a plugin backend. This allows users to take full advantage of AMD's native model and [β¦]
Read full article at https://wccftech.com/amd-vllm-atom-plugin-supercharges-deepseek-r1-kimi-k2-gpt-oss-120b-ai-llm-inference-on-instinct-mi350-mi400/
As we all anxiously wait for Lies of P developer Round8 Studio to finish working on the upcoming sequel to its stellar 2023 action game now that the game's major DLC expansion is out, a job listing for Round8 has been spotted online that has fans concerned for the sequel. Round8 Studio is hiring for what it is calling an "AI Creator," a person whose job it'll be to "leverage generative AI technology to maximize the efficiency of the art production process and innovate the visual quality of games." Generative AI (GenAI) tech in game development is a sore spot [β¦]
Read full article at https://wccftech.com/lies-of-p-studio-hiring-ai-creator-to-use-genai-to-speed-up-art-production/
Intel's next-generation Razor Lake-AX chips will compete directly against AMD's Medusa Halo while featuring on-package memory. Intel Is Bringing Back On-Package Memory With Its Next-Gen Razor Lake-AX Chips That Fight Against AMD's Medusa Halo On-Package Memory was last used by Intel for its Lunar Lake SoCs. These SoCs were aimed at low-power mobile platforms, and while the chips themselves offered solid performance in a 30W budget, Intel's next on-package memory solution will be a big one. As per Haze2K1 on X, Intel Razor Lake-AX SoCs will feature on-package memory. This is a big deal as moving the DRAM closer to [β¦]
Read full article at https://wccftech.com/intel-resurrects-on-package-memory-with-razor-lake-ax-to-hunt-down-amd-medusa-halo/
After it leaked just three weeks ago, today, Discord and Xbox confirmed that a new 'starter' tier of Xbox Game Pass would be included with Discord Nitro. The news was first confirmed by Discord in a blog post and later followed up by Xbox with its own blog post. This new 'Starter Edition' of Game Pass will include over 50 games for players to jump into and 10 hours of cloud gaming, but it does not include online multiplayer for console players. Nitro subscribers at the $9.99 tier are the ones who will get access to this new Starter Edition [β¦]
Read full article at https://wccftech.com/discord-nitro-xbox-game-pass-starter-edition-revealed-no-online-multiplayer-for-consoles/
SignalMelo turns social listening and media monitoring into an actionable workflow for growth teams. It pulls conversations from communities, short-form video, and search, then uses AI to filter noise and prioritize reply-ready opportunities.
Use Discussions for thread-first platforms, Discovery for creator and visual feeds, and SEO Radar for keyword momentum. Coordinate responses with your team, route high-intent signals to content or sales, and connect listening work to measurable outcomes.
Google's REPLIQA program funds academic institutions to apply quantum science and AI to life sciences for scientific breakthroughs.End-to-end encrypted RCS messaging is rolling out for Android and iPhone users, securing your cross-platform chats by default.Adthena is bringing competitive visibility to ChatGPT ads β launching a new platform designed to track how brands show up across prompts, placements and competitors.
Whatβs happening. Adthena has unveiled its ChatGPT Intelligence Platform, positioning it as the first tool to offer whole-market visibility into ChatGPT Ads β similar to what it already provides for Google Ads.
The platform monitors more than 300,000 daily prompts, tracking which brands are advertising, where ads appear, and what messaging they use.
Why we care. ChatGPTβs native ads tools currently show advertisers a limited, self-focused view of performance.
Adthena is stepping in to fill that gap β giving advertisers insight into competitors, share of voice and prompt-level activity in a channel thatβs still largely opaque.
Zoom in. The platform offers a full view of how ads appear across ChatGPT conversations, alongside competitive intelligence on who is bidding, where and with what creative.
It also includes real-time recommendations to optimise campaigns, helping advertisers act on insights rather than just observe them.
What else. Advertisers can analyse ad copy performance, monitor brand presence and track share of voice β all within a single dashboard that combines ChatGPT and Google Ads data.
That cross-channel view is designed to help teams make smarter budget decisions as search behaviour shifts.
Context. The launch follows Adthenaβs earlier AdBridge tool, which helps advertisers migrate Google Ads campaigns into ChatGPTβs Ads Manager.
Together, the tools signal a growing ecosystem forming around AI-driven search advertising.
What theyβre saying. CMO Ashley Fletcher said early adopters will shape the competitive landscape β and that the new platform βtells you exactly what to do about it.β
What to watch. Expect to see more third-party tools emerge as advertisers demand better visibility into AI-driven ad environments. Adoption will likely depend on how quickly brands start treating ChatGPT Ads as a core performance channel, while pressure may build on platforms like ChatGPT to improve their own native reporting capabilities.
Bottom line. Adthena is positioning itself as the visibility layer for ChatGPT Ads β giving advertisers a clearer view of a fast-growing but still opaque channel.
Google is expanding Merchant Center for Agencies worldwide, giving agencies a centralized way to manage product data, diagnose issues and spot growth opportunities across multiple clients.
Whatβs happening. After launching in the U.S. and Canada, Merchant Center for Agencies is now rolling out globally to all agency users.
The tool is designed to help agencies manage merchant accounts at scale as product data becomes more critical to performance across shopping and discovery experiences.
Why we care. Managing product feeds across multiple clients has long been fragmented and time-consuming.
This update brings those workflows into one place β helping agencies monitor account health, fix issues faster and optimize product data more efficiently.
Zoom in. The platform introduces a unified dashboard that gives agencies a birdβs-eye view of all client accounts, including onboarding status and critical alerts.
Portfolio-wide diagnostics allow teams to quickly identify issues across accounts, filter by market or campaign type, and prioritise fixes based on potential impact.
What else. Agencies can also monitor store quality metrics and inventory health, including out-of-stock products, while managing promotions directly within the platform.
On the performance side, new insights help identify high-potential products with low visibility β which can then be tagged and prioritised in ad campaigns.
What to watch:
Bottom line. Google is giving agencies a more scalable way to manage product data β turning Merchant Center into a more strategic performance tool, not just a feed repository.
President of the United States, Donald Trump, will be accompanied by Elon Musk & Tim Cook as he visits China to meet his counterpart, President Xi, but NVIDIA's CEO, Jensen Huang, is reportedly not going. US President Trump Is Visiting China this week, along with Elon Musk, Tim Cook, & Many More High-Level Execs US President Donald J Trump will visit China this week from 13th May to May 15th May. During this visit, Trump will meet Chinese President Xi Jinping. All eyes will be on this visit as it will mark the first time in nearly a decade that [β¦]
Read full article at https://wccftech.com/elon-musk-tim-cook-join-us-president-trump-china-trip-this-week-nvidia-jensen-not-on-list/
ABF substrates are the core component of next-generation AI servers, and heightened demand is going to see their prices bumped by up to 30%. ABF Substrate Supply Was Already Low, & Now Prices Are Going To See A 30% Hike As AI Supercycle Grips The Market ABF or Ajinomoto Built-Up Film is a high-performance insulating film used to package semiconductors, particularly for advanced flip-chip ball grid array (FCBGA) substrates. It acts as a high-speed interconnect layer between the PCB (Printed Circuit Board) and the silicon itself, offering high I/O density and signal integrity. This film is a staple of advanced [β¦]
Read full article at https://wccftech.com/msg-maker-ajinomoto-to-raise-prices-as-abf-substrate-supply-demand-gap-extends-to-2027/
A top-end Wi-Fi 7 router with dual-band capabilities doesnβt have to be an expensive undertaking, not when TP-Link is around for U.S. consumers. The companyβs Archer BE230 is the entry-level router, but donβt assume that just because itβs listed on Amazon for $86.96, it ships with watered-down features, because for the majority of customers who want to upgrade their existing wireless network, a 28 percent discount on the Archer BE230 is an excellent offer. Providing up to 2,000 square feet of coverage and supporting up to 60 devices simultaneously, the Archer BE230 offers few compromises for the price For less [β¦]
Read full article at https://wccftech.com/tp-link-archer-be230-dual-band-wi-fi-7-router-drops-to-86-99-on-amazon/
Apple made one of the best decisions for the iPhone 17 launch when it equipped the base model with flagship features, such as an LTPO OLED panel paired with the A19 SoC, which is mass produced on TSMCβs 3nm process. Sticking with the same $799 but offering double the storage, it was no surprise that the iPhone 17 would gain popularity, especially in China. Despite the myriad of options, not to mention consumers displaying an affinity towards domestic brands, Apple defied overwhelming odds as its base model approaches 30 million activations, which also explains why the iPhone 18 has been [β¦]
Read full article at https://wccftech.com/base-iphone-17-popular-in-china-nearly-approaching-30-million-activations/
It might not be the most powerful GPU on the planet, but it's certainly the most powerful for under $600. PowerColor Hellhound Radeon RX 9070 16 GB Listed at $586 at a Time When the GPUs are Selling for 20% Higher Price The Radeon RX 9070 might be 10-15% slower than its XT variant, but its usual selling price is way better. While the Radeon RX 9070 XT continues to sell for over $700 in most regions, the RX 9070 can be found for around $600-$650. Of course, some editions sell for nearly $700, but it's hard to find an [β¦]
Read full article at https://wccftech.com/amd-radeon-rx-9070-drops-below-600/
Nintendo's share price took a 12% hit over the weekend following the confirmation of a price hike for the Nintendo Switch 2 set to go into effect this September, but that wasn't the only reason for the double-digit decline. An admittance that Nintendo's biggest titles are taking longer to make, forecasting that Switch 2 sales will actually go on a decline in the next year, and an admittance that memory shortages, tariffs, and longer development cycles for major titles are all major challenges for the company played their part in that stock decline. But president Shuntaro Furukawa isn't phased. During [β¦]
Read full article at https://wccftech.com/nintendo-stock-falls-amidst-nintendo-switch-2-price-hike-but-president-furukawa-isnt-phased/
I just needed to edit one PDF quickly. Instead, I kept hitting the same flow: upload, edit, then a signup, trial, or subscription. Overkill for something I use once in a while. So I built Doqly.
Doqly is an online PDF editor for quick, one-off tasks. You can edit text inside PDFs (not just text boxes), fill forms, sign documents, and use over 40 tools like merge, split, convert, and compressβall in your browser. No account or subscription is needed. Upload and edit freely; the first download is free, then you only pay when you download. Files arenβt stored long-term, so youβre not leaving documents behind. Built for quick, no-friction edits when you just need to get in and get out.
Electromagnetism 3D is a free electromagnetic field simulator that runs in any browser and requires no installation. Build a scene from wires, solenoids, and permanent magnets, adjust their properties in an inspector, and watch the field update live in 2D or 3D. You can trace how charged particles move through the field, integrate Ampère's law along a path you draw, save and share scenes via URL, and embed simulations into class pages or LMS with a one-line iframe. It works on Chromebooks and is made for physics teachers and curious learners who want to see what electromagnetic fields actually look like, not just read equations about them.
CollectiveTap lets groups coordinate through simple links you can drop into any chat. Create an Event, Vote, List, Note, Task, Split, or Sheet and everyone can join instantly in the browser with no accounts or installs. Pages update in real time and refresh link previews to keep context in the thread.
Use Hub to combine multiple tools into one shared space so trips, volunteer shifts, or team plans stay organized from decision to follow-through.
Gemini can turn hundreds of pages of notes into study guides or flashcards β or organize a semesterβs worth of learning.Learn more about how outside attackers are misusing AI, and what Google is doing to stop it.SEO has always been a fight for the first page of Google. Every toolchain, audit, and content brief assumes that Googleβs ranking systems evaluate a relatively fixed set of roughly 20 to 30 candidate pages before final rankings are determined.
Google has kept that set small because evaluating more pages is computationally expensive.
Googleβs VP of Search acknowledged the constraint in federal court. The companyβs CEO later confirmed the hardware bottleneck behind it. Googleβs research division has now published a technique designed to reduce those costs.
If the candidate set widens, the rules of the last decade stop working.
Hereβs the exchange that matters from Day 24 of United States v. Google in October 2023. DOJ counsel Kenneth Dintzer cross-examining Pandu Nayak, Google vice president of Search, from transcript page 6431:
Q: RankBrain looks at the top 20 or 30 documents and may adjust their initial score. Is that right?
A: That is correct.Q: And RankBrain is an expensive process to run?
A: Itβs certainly more expensive than some of our other ranking components.Q: So thatβs, in part, one of the reasons why you just wait until youβre down to the final 20 or 30 before you run RankBrain?
A: That is correct.Q: RankBrain is too expensive to run on hundreds or thousands of results?
A: That is correct.
Four consecutive confirmations. The deep-learning component of Google ranking that SEOs have built a decade of theory around is deliberately withheld from the bulk of the index because Google canβt afford to apply it more broadly.
The architecture feeding that reranking window is equally revealing. Earlier in the same testimony, at transcript page 6406, Nayak described classical postings-list retrieval to Judge Mehta:Β
The corpus gets culled to βtens of thousandsβ of pages before ranking begins, and from that pool only the top 20 to 30 results reach the deep-learning layer.
That runs against how most SEO commentary describes Google. The industry treats RankBrain, BERT, and other deep learning components as the definition of how Google ranks. Under oath, Nayak described them as expensive optional layers applied to a narrow window that classical retrieval has already culled.
Every practice in this industry that treats the top 20 to 30 as the competitive surface assumes itβll stay that size. The testimony makes clear that the assumption is contingent, not foundational. The number could have been 50 or 500. It landed at 20 to 30 because thatβs what Googleβs hardware budget would support, and the constraint has held.
The constraint that held the number there is now in public view, and Google has published what comes next.
On April 7, Sundar Pichai sat down with John Collison and Elad Gil on the Cheeky Pint podcast and described a set of hard supply constraints that no amount of CapEx will solve in the short term. The operative line:Β
Pichai named five specific bottlenecks: wafer starts at the foundries, memory, power and energy, permitting for data centers, and skilled labor. Of the five, he pressed hardest on memory:Β
For the 2026 to 2027 horizon, Google canβt buy its way past the memory bottleneck. Higher prices wonβt create more capacity.
That matters because nearest-neighbor vector search, the mechanism behind modern semantic retrieval, is memory-bound. The wider the set of candidate pages a system can consider, the more memory it needs. The tight coupling between memory supply and retrieval breadth is what sets the cost boundary Nayak testified about.
On March 24, two weeks before the Cheeky Pint episode, Google Research published a blog post describing a technique called TurboQuant. The corresponding arXiv paper, βTurboQuant: Online Vector Quantization with Near-optimal Distortion Rate,β was authored by researchers at Google Research, Google DeepMind, and NYU.
The headline claims:
The paper covers two applications: KV-cache compression inside Gemini, and nearest-neighbor search in vector databases. Most coverage has focused on the Gemini application. The search-stack application is the nearest-neighbor-search half, and itβs the one relevant to the cost boundary Nayak described.Β
If indexing is virtually free and memory per vector drops by 4x, the economics that held RankBrain at 20 to 30 candidates no longer apply. A system running on the same hardware could plausibly evaluate a candidate set several times larger.
TurboQuant hasnβt been confirmed as deployed in Google Search. TechCrunch reported at the time of announcement that it remained a lab breakthrough, and the March 2026 core update carried no public commentary from Google linking it to retrieval efficiency or vector quantization. Google has published the algorithm but hasnβt yet deployed it.
Google has been running quantized vector search in production for years through ScaNN. TurboQuant extends that approach rather than introducing it.
The question has shifted from whether the cost boundary can be moved to what SEOs do before it moves.
Waiting for SERPs to confirm that retrieval has widened before adjusting is the losing strategy. The competitive surface is shifting. By the time itβs visible in rank-tracking tools, the positioning work of the next cycle is already done.
Three practical shifts are worth making now.
Rank tracking tools measure position within the set. They say nothing about whether a page was eligible for the set in the first place. In classical Search the distinction matters less because the set is narrow. In AI-mediated retrieval, and in a wider RankBrain-style window once it arrives, the distinction is the entire game.
The fastest check is server log analysis. Two classes of retrieval user agents matter.Β
Ranking and retrieval reward different properties. The ranking signals you already know include topical authority, link equity, and query-intent match. Retrieval systems look for something else: a clear, self-contained, citable claim that can be extracted and evaluated without reading the whole document.Β
A page written for ranking often buries its main claim under context-setting, caveats, and SEO-driven preamble. In a retrieval-ready page, the claim sits in the first 100 words, attached to an entity or statistic a retrieval system can verify, and surrounded by evidence worth citing. Most sites we audit fail this test even when they rank well.
The window is a hardware constraint that has held for years because no one at Google could afford to widen it. Briefing content against βwhat ranks in positions 1 to 10 for this queryβ is briefing against a snapshot of a window thatβs narrower than it needs to be because of hardware economics.Β
When the economics change, the window will widen. Content built to compete inside a narrow set will face broader competition once it expands. The margin goes to content that was strong enough to enter a wider candidate set from the start.
None of the three requires predicting when TurboQuant or its descendants ship to production. They require acknowledging that retrieval economics is moving and positioning for what lies on the other side of the move, rather than for the current snapshot.
The test is simple. Pull your server logs for the last 30 days. Count the retrieval user agents that have hit the pages you care about. If the answer is zero, or close to it, no amount of ranking work will move that number.
The competitive surface is shifting under you. The rest follows.
ASUS teases its 20th Anniversary ROG motherboard β Crosshair X870E Edition 20? ASUS has started teasing an upcoming 20th Edition ROG motherboard, which should be unveiled at Computex 2026. Team ROG have already confirmed that it plans to unveil several 20th Anniversary products at the event alongside new βbreakthrough technologiesβ. Videocardz has reported that ASUS [β¦]
The post ASUS teases ROG 20th Anniversary motherboard appeared first on OC3D.
AMD is reportedly readying a new RDNA 4 GPU, and it's the slowest one yet. However, the specifications reveal the same shader count as the RX 9060 XT. AMD is Quietly Preparing Radeon RX 9050 GPU, Featuring 2048 Stream Processors, 8 GB GDDR6 VRAM, and Up To 2600 MHz Boost The current AMD RDNA 4 lineup has a few SKUs, but AMD appears to be quietly expanding the Radeon RX 9000 series. Up until now, we have only had the Radeon RX 9070 and RX 9060 series, bringing a total of five models, including the Radeon RX 9060, which is [β¦]
Read full article at https://wccftech.com/amd-is-reportedly-preparing-radeon-rx-9050-with-8-gb-vram/
ASUS teased a new 20th anniversary edition on its social media handles, taking us back to the 2000 era with the iconic copper heatsink. ASUS Brings Back 2006 ROG Crosshair Motherboard Memories by Dropping a Teaser for its Upcoming 20th Anniversary Edition The launch of the 2006 ROG Crosshair motherboard was the beginning of ASUS's enthusiast-grade ROG sub-brand, which has expanded to various hardware and peripheral categories. Interestingly, ASUS isn't just expanding its ROG lineup by introducing newer components, but also releasing hardware that bring resemblance to the iconic ROG hardware launched in the 2000s. ASUS recently dropped a teaser [β¦]
Read full article at https://wccftech.com/asus-teases-rog-20th-anniversary-edition-motherboard/
After Stellar Blade was one of the most popular and successful action games in 2024, it was hardly a surprise when developer Shift Up confirmed that it was working on a sequel less than a year after the first game's release. While there's a lot we still don't know about what is just known as Stellar Blade 2 for now, we do know it'll be out on multiple platforms, and as of today, according to Shift Up we know that development is "progressing smoothly," and that we'll hear more about this coming game before the end of the year. That's [β¦]
Read full article at https://wccftech.com/stellar-blade-2-progressing-smoothly-says-shift-up-more-details-in-2026/
Loongson's latest 3B6600 CPU & 9A1000 GPU won't arrive until next year, and feature performance on par with years-old hardware. Loongson Aims To Enter DRAM & Android Segment, While Its Upcoming 2027 CPU & GPU Offerings Look A Bit Lackluster We have long been covering Loongson, and the company has come a long way. The chipmaker has been launching brand new chips for the domestic Chinese markets in the PC and Server space. These products, while only able to match several years older hardware from the competition, and while this may sound a bit underwhelming, it should be stated that [β¦]
Read full article at https://wccftech.com/loongson-targets-intel-12th-gen-radeon-rx-550-performance-3b6600-cpus-9a1000-gpus-2027-launch/
Are you planning your PPC channel budgets by comparing Google Ads, Meta Ads, GA4, and your CRM/CMS data? Since those data donβt align, what do you report on? And how do you make sure youβre optimizing for real impact?
If you think you need better tracking, cleaner UTMs, and maybe a more sophisticated analytics setup, youβre not alone. But more often than not, the issue is something else entirely. Letβs call it the attribution trap.
The main problem is that an entire generation of marketers has been taught to be data-driven. If configured correctly, analytics tools are supposed to tell you whatβs working. Just follow the data.
But attribution can quickly become misleading. Without the right framework, marketers end up allocating budgets based on incomplete insights, often with damaging business consequences.
Letβs step back for a moment: Attribution allocates conversion credit to channels. Thatβs useful. However, attribution canβt tell you which of those conversions your channels actually caused.
Does this sound overly academic? It isnβt. Understanding this distinction is key to fixing the measurement problem. So letβs look at why attribution fails, how to triangulate your existing data, and whether incrementality testing is the right next step for your client.
Before fixing anything, you need to understand that aligning ad networks, GA4, and your CRM simply isnβt possible. These systems were built for different purposes, use different methodologies, and measure different moments in the customer journey.
Say someone clicked a Meta Ads ad, got retargeted on YouTube, then searched for your clientβs brand on Google before converting β all within seven days.
Using the default attribution windows, both Meta and Google Ads will report one conversion. GA4 and your CRM will only show one, most likely crediting Google Ads paid search.
Did Meta Ads invent that βduplicateβ conversion? No. Meta Ads has no visibility into Google Ads interactions. How could it know the conversion was supposedly a duplicate?
Conversely, GA4 and your CRM will almost certainly ignore Meta Ads. Should you follow those βinsightsβ and reallocate Meta Ads budget to Google Ads branded search? Probably not.
Unfortunately, it doesnβt stop there:
The latter two issues are fixable through better configuration, especially server-side tagging, offline conversion imports, and consistent UTMs. But the structural divergence remains, so you canβt expect 100% correlation between those tools.
Once teams accept that the numbers differ, the next move is often choosing a single source of truth β oftentimes GA4 or the CRM β and sticking with it. Thatβs where the attribution trap closes.
Every tool follows an attribution model. And whatever the model β first-click, last-click, linear, time decay, or data-driven β itβs fundamentally limited.
Hopefully, you now have a better grasp of the deeper issue. Attribution answers this question: Given that a conversion happened, which touchpoints should get credit? By narrowing your decision-making process to a single tool, you canβt escape the blind spots of whichever attribution model it follows.
If you rely solely on your CRM, youβll be driven by last-click attribution, meaning youβll mostly focus on branded search. A few years later, you may realize demand has dried up despite strong results according to your single source of truth.
On the opposite end of the spectrum, relying only on ad platform data means reporting inflated results. Think 2x, 3x, or even 4x more revenue than what the finance team actually reports. You end up increasing marketing budgets while finance tells you to stop β rightfully so.
Again, GA4 sounds like the grown-up in the room. Not quite. Thatβs because it only measures the on-site portion of the customer journey. What about awareness campaigns designed to generate views or ad recall? They donβt necessarily generate website visits.
Once you realize all these tools have fundamental flaws and blind spots, someone will inevitably suggest incrementality. In other words: Did this campaign cause conversions that otherwise wouldnβt have happened? Letβs look at that for a moment.
Incrementality measures the results generated because of your campaign β conversions that wouldnβt have existed without the ad.Β
Think of two parallel universes: the gap between the world where the ad ran and the world where it didnβt is your incremental impact. Everything else is activity you wouldβve captured anyway.
This matters more than it might seem. A significant share of reported campaign conversions β especially in retargeting and branded search β comes from people who wouldβve converted regardless. They were already in-market, already familiar with your brand, and already close to a decision.
Showing them an ad and then claiming credit for the conversion is what attribution does. Incrementality testing measures how much of that credit is real.
For budget decisions, that distinction is everything.
A retargeting campaign reporting strong ROAS through attribution might deliver almost no incremental value. Cut it, and conversions barely move. Keep it, and youβre paying for the illusion of performance in that βsingle source of truth.β
Incrementality testing requires experiments with two groups: one that sees the ad and one that doesnβt. Then you measure the difference in outcomes. Here are the most common approaches:
If youβre running larger budgets β think roughly β¬1 million per month or more β youβre probably already familiar with these concepts. So letβs assume youβre operating at a smaller scale.
In that case, incrementality often isnβt actionable. Reliable tests require meaningful differences between test and control groups, which means large amounts of data. And generating that data requires significant spend.
That said, you can still use shortcuts for likely problem areas, especially branded search. Check the auction insights report to see whether competitors are heavily bidding on your brand. If they are, you probably need branded search campaigns to capture the demand you created. If they arenβt, you can likely pause those campaigns, let SEO capture the demand, and save some ad spend.
That said, you can still use shortcuts for likely problem areas, especially branded search. Check the auction insights report to see whether competitors are heavily bidding on your brand. If they are, you probably need branded search campaigns to capture the demand you created. If they arenβt, you can likely pause those campaigns, let SEO capture the demand, and save some ad spend.
So if attribution is fundamentally flawed and incrementality is mostly reserved for top-tier advertisers, whatβs left? Triangulation.
Use the tools you already have while staying aware of their inherent flaws. And educate clients or leadership teams so they donβt blindly follow a βsingle source of truth.β Hereβs what it looks like in practice.
Those systems record actual deals and revenue. Treat every other number as an attempt to explain them.
When Google Ads and Meta Ads report a combined $50K in revenue, while Shopify shows βonlyβ $35,000, Shopify reflects reality.
Better yet, itβs the only system that can reliably tell you whether a conversion came from a new or existing customer. Ad platforms donβt make that distinction reliably. That lets you measure nCAC (new customer acquisition cost), anchoring budget decisions around customers who otherwise wouldnβt have found you.
Then superimpose your customer journey onto ad platform results. That $15K gap represents the ad platformsβ interpretation of their contribution. Your job is to understand each campaign in the context of the customer journey and identify where deduplication is needed.
For example, if you run both Demand Gen and Meta retargeting campaigns, thereβs almost certainly overlap. So will be the results. Thatβs when time-based incrementality tests, if available, can help determine which channel performs better.
Attribution windows: Long customer journeys make performance harder to interpret. Try segmenting campaigns around specific stages of the customer journey and adjust attribution windows and micro-conversions accordingly. Smaller attribution windows are often better at driving the right outcomes when configured properly.
Track ratios: The gaps between ad platform conversions and CRM/CMS data should remain relatively stable. Build a simple report that tracks those relationships over time. If the ratios hold, your measurement framework is stable. If they break, investigate β there may be an incrementality insight hiding there.
Triangulation wonβt give you a single clean number. But it will give you a defensible, consistent framework for making decisions. Thatβs far more valuable than false precision.
The teams that waste the most time on measurement are the ones trying to force three systems to produce the same number, or searching for the attribution model that finally feels fair.
The teams that make the best decisions accept that reality is more complex than a single source of truth and build the data skills needed to reflect that complexity.
So make sure your decision-making process is as close to reality as possible β and embrace the question marks.
Every few weeks, someone publishes a piece about AI agents taking over Google Ads, SEO, or social media. Inevitably, the agents look impressive β in theory, at least.
But then you dig deeper to determine what data the agent is working with. Almost always, the answer is the same. These agents typically work with data thatβs native to the platform. For Google Ads, that means impressions, clicks, conversions, and return on ad spend (ROAS).
This oversimplified approach is the reason AI agents in PPC often fail at the input layer, before theyβve made a single decision. An agent that has access to platform-native data only canβt truly manage your marketing.
Many tools positioned as PPC agents are simply AI assistants that write ad copy. They handle tasks like:
These are genuinely useful tasks that save time. But they arenβt agentic PPC. Instead, theyβre generative AI tools with a Google Ads wrapper.
A true PPC agent acts on the ad account. It analyzes performance data to make informed decisions. Then it applies the analysis to implement changes such as budget shifts, bid adjustments, negative keyword additions, campaign structure modifications, and feed-level optimizations.Β
Google Ads has limited insight into your business data. So, when you build an AI agent that factors in only Google Ads signals, you end up optimizing a closed loop.
This causes your agent to focus on hitting targets that often have nothing to do with business performance. In some cases, the agent may negatively impact the business while improving its own reported metrics.
For example, Google Ads doesnβt know your average deal size, sales cycle length, or cash position this month.
The ad platform lacks data on which product lines currently have margin worth defending. And it doesnβt know that a campaign generating 40 leads per week is producing zero qualified opportunities or that a campaign with a mediocre ROAS is your most profitable acquisition channel once you factor in customer lifetime value.
This isnβt a new problem. PPC managers have been navigating the tradeoff between ROAS and profit for years. PMax surfaced this problem long before AI agents entered the conversation.
PMax campaigns operate as a black box. You provide Google with your budget, assets, and conversion goal. Then, you let the algorithm decide where to spend.
Advertisers quickly discovered that without margin data, customer relationship management (CRM) signals, or conversion insights, PMax would enthusiastically optimize toward the wrong outcome.
It would chase cheap conversions that probably would have converted anyway, deprioritize high-margin products in favor of high-volume ones, and hit the ROAS target while missing the profit goal.
AI agents for PPC amplify the speed and scale at which a misaligned optimization loop can do damage.
Before you invest in an AI agent, consider that PM, built by the largest digital advertising company in the world and trained on more data than any independent agent ever will have, still canβt make good decisions without backend business data.
Your agent is no different. Incorporating a large language model (LLM) doesnβt fix the underlying architecture problem. To optimize PPC campaigns toward business goals, your agent needs relevant business data.
Dig deeper: Agentic PPC: What performance marketing could look like in 2030
These three types of business data β CRM, product, and operational β are key to improving PPC agent performance.
The most critical missing layer for lead generation accounts is CRM data. Without it, an agent that targets conversions bids on form fills without any idea what those outcomes are worth.
There are two practical ways to close this gap and connect CRM data.
Offline conversion tracking
Offline conversion tracking (OCT) involves exporting qualified leads or closed deals from your CRM and pushing them back into Google Ads as offline conversion events, ideally with assigned values.Β
This gives Smart Bidding a useful signal to work with. With OCT, an AI agent that analyzes conversion data from within Google Ads gets something that reflects business reality rather than just form volume.
OCT is a lighter-touch option that offers a realistic starting point, particularly for agencies managing multiple accounts. It doesnβt require direct CRM integration with the agent. The data flows into Google Ads on a delay (typically 24 to 72 hours), flowing revenue-weighted signals into the system the agent already reads.
Direct CRM access
The second path involves giving the agent direct CRM access. This way, it can query deal stages, average contract values by campaign source, win rates by lead type, and time to close by channel.
Direct CRM access unlocks a more intelligent decision layer.
No longer dependent on conversion data imports, the agent can assess pipeline health in real time. For instance, it might detect that a campaign is generating volume but the leads are stalling at proposal stage β and then flag that for human review or adjust targets accordingly.
Compared to OCT, direct CRM access is harder to build and maintain. But it allows an agent to make business-aware decisions rather than using platform data alone.
Ecommerce accounts running Shopping or PMax campaigns with a product feed need access to product margin data. Yet these insights almost never exist natively inside Google Ads.
Google Ads knows the product cost, conversion rate, and reported revenue for everything in the product feed.
But it doesnβt know that product A has a 55% gross margin while product B has a 12% margin after factoring in fulfillment and returns β despite having a higher ROAS. An agent optimizing for ROAS in this environment will naturally bid for product B conversions while starving product A.
Thatβs why a properly connected Shopping agent should have margin data at the product or category level, fed directly via a supplementary feed or accessible via a backend data connection.
With product margin data, the agent can set differentiated target ROAS values by margin tier, suppress spend on structurally unprofitable SKUs, and prioritize budget toward the lines the business wants to grow.
An agent that can read inventory levels and margin data can also dynamically adjust custom labels, pull products from active campaigns when stock is critically low, and reprioritize when a high-margin product returns to supply.
Operational signals (e.g., fulfillment capacity, seasonal staffing constraints, promotional windows) also affect whether an agentβs decisions hold up in practice. When you aggressively bid into a product line you canβt fulfill, you quickly burn budget and decrease customer satisfaction.
For instance, say your agent scales campaign spend because performance looks strong. But the warehouse team is already at capacity and canβt fulfill the orders in a timely manner. This decision might seem optimal in theory, but in practice, it lacks context.
Operational signals rarely come from a clean API. Instead, theyβre stored in enterprise resource planning (ERP) systems, manual exports, and internal dashboards with no standard integrations.
This data can be challenging to extract. And getting the upstream coordination right can prove even more challenging.
After all, an agent is only as organized as the humans that provide the context.
Marketing teams often struggle to coordinate promotions, sales pushes, and seasonal campaigns with other departments, agencies, and external partners. These initiatives happen constantly, with details communicated via email threads, Slack messages, and spreadsheets that no agent will ever see.
Adding an autonomous system to this setup just accelerates the confusion. Thatβs why for many organizations, the first step is simplifying operational data.
Backend data connections tend to be time-consuming to build and expensive to maintain. They often require syncing with a range of ecommerce, bookkeeping, inventory management, CRM, and ERP platforms.
Plus, every implementation is a custom job that often requires API connections or a data warehouse layer. It also requires buy-in from finance, operations, and sales teams that have their own systems, formats, and priorities.
As a result, agencies and in-house teams that build AI agents for PPC often take the path of least resistance. They connect to the API, pull the standard metrics, and build the automation without providing additional context.
This approach is faster to ship and easier to demonstrate. It also avoids the internal politics of touching finance data.
The result is a layer of automation that looks impressive but provides an incomplete picture of business reality, leading to performance that drifts in the wrong direction.
The current AI agent ecosystem doesnβt reward anyone for solving this problem.
The incentive structure points everyone toward quickly shipping something that looks like an AI agent, rather than building something that works in real business conditions.
Before investing time or budget in developing an AI agent for Google Ads, clarify what business data the agent needs to optimize performance.
For lead generation accounts, the answer starts with OCT as a minimum viable data bridge, with direct CRM integration as the ideal architecture worth building toward. For Shopping and ecommerce, it starts with margin data at the SKU or category level and extends to inventory and fulfillment signals. And for all campaign types, operational data is critical.
Creating a functional PPC agent is the easy part. Connecting it to reality is where you have to put in the work and where you extract genuine value.
Dig deeper: Agentic AI and vibe coding: The next evolution of PPC management
AI regulations are still in their infancy. Europe has taken the lead with the EU Artificial Intelligence Act. In the United States, nearly 20 states have enacted AI legislation. At the same time, federal policymakers have signaled interest in limiting state-level regulation to keep the overall regulatory environment relatively light, as shown by the recent AI policy wishlist published by the White House.
Regardless of how quickly new regulations emerge, one thing is clear: AI isnβt reinventing the legal landscape; itβs accelerating it. Most AI risks trace back to familiar areas like intellectual property, privacy, contracts, consumer protection, discrimination, and liability when things go wrong.
So instead of thinking of βAI lawβ as something entirely new, itβs more helpful to look at the core business areas where these familiar risks tend to arise.
The following nine areas are where most AI risk shows up inside a business. You donβt have to be a legal expert to manage these risks; you just have to ask the right question in each area to get to the heart of the matter and address it well.
The one question: Who owns the work, and are we accidentally using someone elseβs intellectual property without realizing it?
Ownership is still evolving in the AI context, but we do have some early guidance. The U.S. Copyright Office (USCO) stepped in early, stating that works created purely by AI are not protected. Meaningful human authorship is required. If a human plays a substantial creative role in shaping an AI toolβs output, protection may still be possible. Such determinations are to happen on a case-by-case basis.
On the patent side, the U.S. Patent and Trademark Officeβs (USPTOβs) revised guidelines show a slightly more flexible position, stating that patentability is still possible if a human conceived the idea but used AI to make the idea come to life. That said, these guidelines havenβt been tested in court, so itβs unclear how they will stand up against real-world applications.
At the same time, concerns about infringement continue to grow. Many generative AI tools were trained, at least to some extent, on protected materials, and weβre watching this tension play out in real time. Weβve seen case filing after case filing, including The New York Times lawsuit against OpenAI and Microsoft, which alleges that the AI tools reproduced substantial portions of copyrighted content without permission.
This creates two practical risks:
If youβre creating content you want to own, protect, or commercialize, keeping a human meaningfully involved isnβt optional β itβs essential.
The one question: What are we saying, and is it accurate?
AI tools make it dramatically easier to create content at scale, which is a clear upside. The tradeoff, however, is that these tools also make it easier to publish something thatβs misleading or incorrect.
We saw in real time how costly such errors can be. During Google Bardβs product demonstration, the tool incorrectly stated that the James Webb Space Telescope had taken the first images of an exoplanet. This one error cost Google $100 billion in market value because it raised serious questions about the credibility of its tool.
AI hallucinations can show up in subtle ways, including incorrect data, fabricated citations, false logic, exaggerated claims, and confident but flawed reasoning. When such content is published under your brand, it becomes your responsibility. And while your company may not have as much at stake financially as Google does, reputationally, one mistake can absolutely cost you.
The one question: Are we using peopleβs personal information in ways that are transparent, lawful, and respectful?
Consumer expectations around data privacy have shifted dramatically β and the law is catching up. Frameworks like the EUβs GDPR, Canadaβs PIPEDA, and Californiaβs CCPA have established new standards around how personal data is collected, used, and disclosed.
While marketers have adapted (begrudgingly, to a degree), personal data remains at the core of many campaigns. That data includes cookies, pixels, contact and behavioral data, purchase and payment information, and more. And the risks donβt just arise in collecting the data; they also arise in failing to clearly communicate what youβre doing with it.
Regulators have already shown us how seriously they take these matters. In ChatGPTβs early days, Italy blocked the app countrywide over concerns about how personal data was being collected and processed under GDPR. The Italian government only lifted that ban after OpenAI added more privacy safeguards.
At a practical level, your company needs a clear policy on the collection and handling of private consumer data. You need to know what data youβre collecting, where that data is going, and who is handling it. Your team needs to know which privacy laws apply to your company and its customers, and how to respond if a customer makes a request under those laws. If you canβt quickly and clearly communicate that your company knows all this, nowβs the time to start taking action so you limit your exposure.
The one question: Are we keeping sensitive data, internal knowledge, and company secrets out of places they shouldnβt go?
When we talk about data protection, the focus often stays on customer data. Just as important, however, is company data, especially trade secrets and proprietary information.
AI tools introduce a new layer of risk here, particularly when employees use unapproved tools or free versions that lack privacy and security guardrails. Samsung learned this lesson the hard way. A couple of engineers pasted proprietary source code into ChatGPT while troubleshooting issues. That data was then transmitted to an external system, which would use the data to train its models and potentially deliver replicated source code in future outputs.
This isnβt a case of bad actors; itβs a case of bad workflows and SOPs. If your team is using AI tools without clear guardrails, you risk any team member unintentionally disclosing confidential business information, client data, or proprietary processes or code. And once that information goes out, itβs incredibly difficult to get it back.
The one question: Could AI be influencing hiring, promotion, or evaluation decisions in ways that create bias or discrimination?
For years, companies have been relying on AI in hiring and HR processes, primarily to improve efficiency. But such efficiency doesnβt guarantee fairness.
Research and real-world examples have proven time and again that these tools bake in the prejudices and biases of their training data. One well-known example comes from Amazon, which scrapped its 2018 AI hiring tool that was found to downrank resumes that included indicators of applicants being women. In another case, iTutorGroup was held liable for damages after its AI-powered job-application software exhibited bias against older candidates.
Itβs not that using AI in these instances is unacceptable. Itβs just that companies using AI should not do so blindly. When it comes to having AI tools partake in decisions about people, your company needs to regularly audit the tools for bias, understand how the toolβs decisions are being made, and always keep a human in the loop.
The one question: Are our customer-facing agreements clear about how AI is usedβand whoβs responsible if something goes wrong?
AI-generated content isnβt just βcontent.β In many cases, itβs part of your customer experience, which carries great weight.
The Air Canada chatbot story offers a good example. A customer relied on information provided by an AI chatbot on the Air Canada website. The chatbot described a bereavement fare policy that didnβt actually exist. Air Canada refused to honor the policy; the customer sued. A Canadian tribunal ruled that the airline was responsible for the chatbotβs statements.
Your website, chatbots, automated content, AI-generated social media content, and so on can all be considered company-created and company-approved content. And if we follow the Canadian tribunalβs logic, if the content lives on your platform, itβs your responsibility.
If customers rely on the content you provide to make decisions, you need to ensure that the content is accurate. You should also take care to clearly address how AI is used on your platform and where responsibility for it sits.
The one question: Do we really understand the risks of the AI tools weβre bringing into the business?
Every AI tool you use comes with its own ecosystem: third-party integrations, underlying libraries, and data flows that arenβt always visible on the surface. If you donβt understand that ecosystem, youβre taking on risk. And no company, small or large, is immune.
In 2023, a ChatGPT bug briefly allowed some users to see titles of other usersβ chat histories and certain subscription payment details. The issue was traced to a bug in an open-source library used by OpenAI, highlighting how risk can live deep within a toolβs infrastructure.
This risk extends beyond the tools you choose to the vendors you work with.
Companies cannot blindly enter new vendor relationships or AI tool subscriptions. Initial assessments are necessary, as are ongoing reviews and, if necessary, corrective actions to remain compliant and limit risk.
The one question: If an AI system makes a mistake that affects customers or users, who is responsible?
AI systems redistribute risk in ways we canβt always predict. Zillowβs Zillow Offers program is a strong example. The company used automated algorithms to estimate home values and guide purchasing decisions. When those models misjudged market conditions, the company purchased homes at inflated prices, ultimately causing the company to lose hundreds of millions of dollars.
Zillowβs algorithms impacted external parties by inflating home prices. But its internal impacts were even harsher. It raised questions, including those relating to accountability. Who is at fault? And what consequences will the responsible parties face, if any?
These arenβt theoretical questions; theyβre governance questions. And organizations that spend time addressing these questions upfront find it much easier to address solutions should a system make a mistake in the future.
The one question: Are we keeping up with evolving rules, and can we demonstrate weβre using AI responsibly?
Regulators arenβt waiting for a comprehensive AI law to emerge. Unsteady, theyβre applying existing frameworks as they can, and are already taking action.
The U.S. Securities and Exchange Commission (SEC) and Federal Trade Commission (FTC) have brought enforcement actions against companies for failing to bake in proper guardrails around their use of AI. The SEC has charged numerous firms with making misleading statements about their use of AI or falsely advertising their AI capabilities (βAI washingβ). The FTC has also issued numerous warnings to companies about overstating or misrepresenting their AI capabilities, as AI claims must be substantiated like any other marketing or advertising claims.
Enforcement is also expanding beyond messaging. The FTC took action against Rite Aid over its facial recognition technology, which produced thousands of false positive alerts and disproportionately impacted people of color.
This action, while important for consideration of disparate harm, signaled a shift in what regulators are looking for. Itβs not just about what your AI systems do; itβs about how your organization governs data, vendors, and risk.
When regulators come calling, they wonβt just ask what happened. Theyβll ask how you govern it. And theyβll want the receipts.
No one can tell you how any of this is actually going to play out. That said, where things stand does help shed light on how the legal landscape will impact your day-to-day business operations in the near future.
Expect litigation to increase as AI use expands. Courts will play a central role in clarifying how existing laws apply to new AIβdriven scenarios, especially where regulations are vague or silent. These cases will help define boundaries, but they will also introduce cost, delay, and uncertainty for businesses caught in the middle.
Marketing organizations should plan for growing expectations around disclosures, documentation, and process. This includes clearer customerβfacing policies, internal SOPs governing AI use, bias audits, risk assessments, and incident response plans. In practice, responsible AI use will increasingly look like a compliance discipline, not an adβhoc experiment.
AI tools are evolving quickly, and they also make malicious activity easier and more scalable. That combination raises the stakes. Companies will need dedicated teams or well-defined ownership to monitor developments, maintain policies, and respond to incidents as they arise. Privacy and data protection will be core operational functions, not side considerations.
There is no final version of AI regulation on the horizon. Rules will continue to change, sometimes unevenly and unpredictably. The most resilient organizations will be those that plan for what they can, learn from early missteps, and remain flexible enough to adapt as expectations shift.
Listen, we know what youβre thinking: boring. Legal guardrails, policies, and governance are not shiny or sexy. Experimentation is. Speed is. Seeing what these tools can do is genuinely exciting. But we care more about you and your company coming out ahead than chasing shortβterm wins that create longβterm problems.
This playbook isnβt about slowing innovation. Itβs about protecting your team, your work, and your organization so you can use AI confidently, responsibly, and without unnecessary risk getting in the way. With that, letβs dive in.
Every organization should have a short, plain-language policy that explains how AI tools can and cannot be used. The policy need not be overly complex, but it should be clear enough that any team member can read it and follow it as intended.
A strong policy usually includes:
As you build your policy, remember to include an approved tools list, a list of prohibited tools, an acknowledgment form for employees to sign, and disclosure guidance for when AI-generated content is used.
These are the pieces that put policy into action.
Not every AI use case carries the same level of risk, so treating everything the same either slows your team down or leaves your company exposed. A simple way to manage this is to think in terms of a three-lane highway:
This approach allows your team to move more fluidly, slowing down only where necessary based on defined goals. The key term here is βdefined.β
Youβll need to clearly define which activities fall under each lane, and what level of review or approval is required before anything moves forward.
Most AI risk actually starts at the input stage. If sensitive, protected, or proprietary data goes in, you lose control over where it may appear later. Thatβs why itβs critical to set guardrails in place around both what goes in and what comes out.
Example guardrails include:
Clean inputs reduce risk. Clean outputs protect your brand.
Itβs easy to get caught up in the excitement of new AI tools. But the desire to join in often leads organizations to adopt tools before proper evaluation. This is where risk starts to creep in.
Every external tool or vendor you bring into your company also brings its data practices, dependencies, and potential exposures. Make it a policy to ask questions that identify risk before adopting a new tool or hiring a new vendor.
Ask and then document the answers (ideally in your vendor contracts) to questions such as:
Remember, risk doesnβt happen in a vacuum or at any single point in time. Review tools and vendors regularly.
AI is great for accelerating work, but it doesnβt grant a free pass from accountability. At key points in your workflows, there should be clear expectations around when a human needs to step in, review, and take responsibility for the outcome.
This is especially important for:
Keeping a human in the loop isnβt about slowing things down. Itβs about ensuring that speed doesnβt come at the cost of accuracy, fairness, or trust.
βRadical transparencyβ is the phrase of the day in many AI, data protection, and privacy conversations. What that really boils down to is simply being able to show your work.Β
Because when something goes wrong, or when a regulator comes knocking, youβll need to be able to clearly show how your organization responsibly uses AI.
To that end, we recommend every organization:
This documentation protects your business. But perhaps more importantly, it provides your team with the clarity and consistency it needs to perform well.
Once you have the documentation in place, you have to take the next step to ensure your team understands how to apply your policies and procedures. Training should equip your team to identify risks, respond to threats, and otherwise use AI tools in line with your expectations.
At a minimum, your training should ensure your team knows how to:
By bolstering your teamβs AI proficiency, youβre setting your company apart from the competition and eliminating significant risk along the way.
This post first appeared on the authorβs website and is republished here with permission.
Chinese DRAM makers have sped up their memory production capabilities, with another company now mass-producing DDR5 RDIMMs for servers. Chinese Domestic DRAM Manufacturers Accelerate DDR5 Production, 64 GB RDIMMs Now Being Supplied To Data Centers As the AI supercycle continues, memory requirements have swelled to unparalleled proportions. Demand is rising in all regions, including China, where several data centers are coming online at an accelerated pace. In all of this, Chinese DRAM manufacturers are boosting their production capacities rapidly. We have seen how CXMT and YMTC have been involved in an Epic expansion plan, aiming to double their wafer output [β¦]
Read full article at https://wccftech.com/another-chinese-dram-maker-breaks-into-ddr5-memory-mass-producing-64gb-rdimms/
A few days ago, modder PureDark released an upscaler that implements NVIDIA DLSS 4.5 with Dynamic Multi Frame Generation into The Witcher 3: Wild Hunt. CD Projekt RED's game did not launch with NVIDIA DLSS, though of course, that's because its May 2015 debut far predates the advent of DLSS, which was first released in February 2019. However, it was updated with NVIDIA DLSS Super Resolution, Frame Generation, Reflex, and ray traced global illumination, ambient occlusion, shadows, and reflections when the developers dropped the so-called The Witcher 3 Next-Generation update in December 2022. PureDark's mod replaces the game's default Streamline [β¦]
Read full article at https://wccftech.com/witcher-3-dlss-4-5-multi-frame-gen-mod-puredark/
Pixel Perfect is an AI photo editor that transforms a single photo into polished headshots, profile images, and cinematic portraits. It offers guided, outcome-focused workflows and a Limitless Studio for advanced edits, so you can skip complex prompts and get professional results fast. Built for real photos, it enhances your existing images for use on LinkedIn, websites, and social profiles. Start free and create business-ready portraits and creative looks in minutes, with an iOS app available.
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RPCS3 posts strict AI guidelines to combat βAI slop codeβ The team behind RPCS3, the PlayStation 3 emulator, has taken action against βAI slop codeβ due to its impact on the emulatorβs development. The team has reported that it has had to revert many βslop PRsβ (pull requests) that caused major regressions within the PS3 [β¦]
The post RPCS3 says no to AI slop code with new code guidelines appeared first on OC3D.
Forza Horizon 6 is launching next week on PC and Xbox Series X|S, but a massive failure in Steamworks publishing leaked a fully playable build of the game without DRM. With the latest entry in the series being one of the biggest titles published by Xbox this year, the publisher is dealing with the situation in the harshest way possible, hitting users playing the leaked build with what essentially is a lifetime hardware ban. As widely reported in now-deleted threads on the series' official subreddit, early players are being suspended for "cheating/unallowed modding," which was to be expected. The suspension [β¦]
Read full article at https://wccftech.com/microsoft-drops-hammer-forza-horizon-6-leakers-hardware-ban/
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StatusBird provides uptime monitoring for over 75 e-commerce services like Shopify, Stripe, Klaviyo, and ShipStation. It checks each service every two minutes and sends SMS, email, Slack, Teams, or Discord alerts as soon as outages or degraded performance occur.
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AI-powered experiences like Google AI Overviews, Gemini, and Ask Maps are changing how customers discover local businesses. People are asking more detailed, conversational questions, and AI-powered systems can now influence which businesses get surfaced.
Traditional rankings are only part of the visibility equation. Complete, accurate business information β including your Google Business Profile, reviews, photos, and local content β can help customers and AI systems better understand your brand.
Join SOCi and Google for an exclusive webinar, Winning the Next Era of Local Visibility, on June 3.
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AI is already shaping how customers find businesses. Make sure yours is one of them.
AMD Software 26.5.1 breaks Blender Cycles, but a fix is incoming AMD released its AMD Software 26.5.1 Radeon GPU drivers last week, and they are causing mayhem amongst Blender users. Blender users have reported a number of issues, including crashes, non-functional denoising, and broken HIP support. These bugs are caused by AMDβs move to ROCm [β¦]
The post AMD Radeon 26.5.1 driver breaks Blender Cycles β Fix incoming appeared first on OC3D.
Apple Pay makes contactless payments feel effortless, but behind that two-second tap is a surprisingly sophisticated chain of cryptography, tokenization, and real-time authorization.
Dragon Quest XII: The Flames of Fate has been known to be in the works since the series' 35th anniversary in May 2021, but very little is known about the next main entry in the long-running JRPG series other than the fact that it will be powered by Unreal Engine 5. Since the game's reveal, we saw the release of four remakes, but series creator Yuji Horii recently teased that the game will be back in the spotlight starting later this month. Speaking during the latest episode of the KosoKoso broadcast, the Dragon Quest series creator confirmed that a series [β¦]
Read full article at https://wccftech.com/dragon-quest-xii-the-flames-of-fate-revealed-5-years-announcement/
Following the disappointing launch of the Steam Controller, which saw units sell out almost immediately, only to end up in the hands of scalpers, Valve introduced a reservation queue to prevent a repeat of the situation. As spotted in the same Steam update that introduced the system for the new controller, a similar safeguard will be in place for both the Steam Machine and the Steam Frame. Users analyzing the system via Steam Tracker have discovered code for four Steam Machine packages and two Steam Frame packages alongside the Steam Controller and Steam Deck entries. This heavily suggests that the [β¦]
Read full article at https://wccftech.com/steam-machine-queue-system-4-models-scalpers/
We might have a probable launch month for Gears of War: E-Day, The Coalition's new installment in the third-person shooter series. The rumor comes not from an insider but from an unlikely source: a sponsorship. During WWE Backlash on Saturday, May 9, it was announced thatΒ Gears of War: E-Day is the official presenting sponsor of AAA Triplemania 2026, the premier Lucha Libre event happening onΒ September 11 and 13 in Mexico City. The thing is, publishers don't sponsor major live events months before their game releases: the whole point is to reach a mass audience at peak marketing momentum. Moreover, historically, [β¦]
Read full article at https://wccftech.com/gears-of-war-e-day-release-date-september-wwe-sponsorship/
Missing the early weekend release window of the previous major patches, the Crimson Desert 1.06.00 patch is now live across PC and consoles, introducing yet another highly requested feature by the community - the Extraction feature that essentially rolls back weapon upgrades to receive materials back - new Special Mounts and the one feature no one would have expected to see in the game: a gacha vending machine. The new patch significantly expands the Special Mounts options, allowing you to register Bears, Boars, Wolves, Deer, Mountain Goats, Kuku Birds, Raptors, Camels, Lions, and Tigers as a mount after subduing and [β¦]
Read full article at https://wccftech.com/crimson-desert-patch-1-06-bears-raptors-mounts-player-whishlists/
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As the race for the AI buildout continues to intensify, a shortage in the packaging industry has led memory manufacturer SK hynix to team up with Intel for chip packaging technology. After a strong comeback under CEO Lip-Bu Tan, Intel is now aiming to expand its presence in the packaging industry. The firm and SK hynix are collaborating on 2.5D packaging technology and Intel's Embedded Multi-die Interconnect Bridge (EMIB) technology as shortages create tightness in the current packaging supply chain. Intel & SK hynix Collaborating On EMIB Packaging As Shortages Impact 2.5D Packaging Supply Chain Intel's EMIB packaging technology is [β¦]
Read full article at https://wccftech.com/sk-hynix-turns-to-intels-emib-packaging-as-tsmc-cowos-bottlenecks-squeeze-the-ai-supply-chain/
Renowned CAPCOM leaker Dusk Golem recently corroborated a claim from an anonymous insider thatΒ Ada Wong will appear in Resident Evil Requiem DLC. However, after Dusk Golem named that insider as his source, Reddit users went digging through the same person's post history and surfaced a series of additional CAPCOM-related claims, none of which Dusk Golem has vouched for. The leaker has since explicitly distanced himself from the two most attention-grabbing ones:Β "The Devil May Cry 1 Remake and RE10 protag rumor did not come from me. Typical deal of people stuffing rumors together and then claiming I said them β that [β¦]
Read full article at https://wccftech.com/capcom-leak-devil-may-cry-1-remake-re1-re10-full-roadmap/
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Clubly is a nightlife discovery and social app that answers the question everyone asks on a Friday night: where should we go tonight? Open the app to see which friends are heading out, discover nearby venues worth going to, RSVP, check in, and share moments from the night all in one place. For venue owners, Clubly offers an easy way to reach people who are actively deciding where to go. Claim your venue, get discovered, and promote your night to the right audience at the right moment.
Actvtec is an Israeli digital marketing agency with 19 years of experience. It specializes in Google Ads management, SEO, and GEO, optimizing brand visibility in AI answers from ChatGPT, Gemini, and Perplexity. As a certified Google Partner, the team focuses on ROAS, lower CAC, and conversion lift with transparent reporting and senior-level management. Actvtec also runs Meta campaigns, builds high-converting landing pages and websites, and provides strategy supported by proprietary AI automations and a GEO Checker to monitor AI citations.
This week, the new, AI-powered Google Finance is launching across Europe, with full local language support. This reimagined experience offers a suite of powerful capabilβ¦
AMDβs Ryzen 7 9800X3DΒ continues to be one of the finest gaming CPUs of this generation, and Amazon is making life much easier for gamers wanting to set up their high-end rigs at a lower price. With the DRAM crisisΒ showing no signs of slowing down, itβs becoming increasingly difficult to own semi-decent hardware at incredible discounts, but this combo is a great start. You now get a premium ASUS TUF motherboard, and with the two parts combined, you get $136 in savings with the $622.98 price. You couldnβt have asked for a better motherboard pairing, as the ASUS TUF Gaming X870-PLUS [β¦]
Read full article at https://wccftech.com/ryzen-7-9800x3d-and-asus-tuf-cpu-motherboard-combo-136-off-on-amazon/
Other Perspectives lets marketers, agencies, and creators benchmark Facebook and Instagram performance against competitors in one dashboard. Connect your pages through Metaβs official integration, add public competitor profiles, and get fresh post-level insights updated multiple times a day. Group accounts into brands, track engagement trends, and surface top-performing content to guide strategy. Start fast with a 14-day free trial, then choose a plan by account limits, team seats, and historical depth.
In what is entirely in line with rumors that have been swirling fairly persistently, AMD appears to have settled on Samsung's chip fabrication arm to produce its next-gen 2nm CPUs, Venice and Verano, as per the outlines of a fresh speculative reverie, this time from Daishin Securities. AMD best fits the contours of a fresh rumor that suggests Samsung has just won an order for 2nm CPUs The prolific tipster Jukan has just cited Daishin Securities to note that Samsung has likely won a new order for 2nm notebook CPUs. While Daishin only referenced a "North American fabless customer," Jukan [β¦]
Read full article at https://wccftech.com/samsung-foundry-has-apparently-won-a-2nm-cpu-order-from-a-north-american-fabless-customer-with-amd-identified-as-the-orders-source/
Smilify is a dental practice management platform that unifies scheduling, patient records, AI image enhancement, and real-time analytics in a secure cloud. It reduces no-shows with automated reminders, visualizes treatment outcomes with before/after galleries, and keeps HIPAA-compliant data accessible anywhere.
Teams use Smilify to manage calendars, profiles, and documents, track revenue and KPIs, collect testimonials, and control access with role-based permissions. Start quickly with a 14-day trial and scale from single offices to multi-location groups.
3vo is an AI-native product studio that uses teams of specialized AI agents to design, build, and launch digital products quickly and affordably. Agents handle design, development, and copy in parallel, so you can go from idea to live product in days or weeks. 3vo also sells its own tools, including Notion templates, AI prompt packs, automation workflows, an idea validator, and VC pitch prep. Independent builders can buy off-the-shelf systems or share an idea and have agents ship a real, revenue-ready product.
NVIDIA has accelerated the rollout of its next-gen AI powerhouse, Vera Rubin, with first shipments commencing as early as July this year. Despite Rumors of Design Issues, NVIDIA is pushing ahead with a spectacular Vera Rubin Launch, The Center of Next-Gen AI A few days ago, we reported a few rumors that were going around regarding NVIDIA's Vera Rubin related to its design and specs changes. While the rumors sounded similar to what we heard about Blackwell GPU servers before their launch, NVIDIA has the ability to quickly address these pre-shipment drawbacks with the help of its supply chain partners, [β¦]
Read full article at https://wccftech.com/nvidia-squashes-vera-rubin-rumors-first-shipments-rolling-out-in-july-to-ai-customers/
TechLexicon makes it easy to learn tech vocabulary through quick, addictive games. Play Acronym Blitz, Speed Round, Matching Game, Flashcards, and Tech Forge scenarios on web, iOS, and Android. Earn XP, build streaks, and challenge others in real-time 1v1 battles. Built for people breaking into techβstudents, career switchers, and anyone studying for cloud or developer certifications. Instead of memorizing lists, you practice terms daily in ways that actually stick.
Plume creates research-backed SEO articles that rank. It starts with a SERP analysis of your top competitors, maps H1βH3 structure and coverage gaps, captures your brand voice with a questionnaire, independently verifies every claim, then drafts and auto-revises a full article before you see it. A dashboard tracks statuses, E-E-A-T, and SEO scores to guide optimization. You can export Word-ready DOCX files for any CMS. Plans scale from solo bloggers to agencies with monthly article credits and white-label options.
Develop Solana applications end-to-end using TypeScript
The New York Times recently published an opinion piece suggesting that the company is at the beginning of the end, but itβs more complicated than that.
Tessa Lyons, Instagramβs vice president of product, told audiences at Scalable Summit that short-form videos may not βbe enough to succeed on TV,β per ICYMI.
The company is using artificial intelligence-powered generative recommendations to assess user actions across the platform.
The company published an explainer on its various models as sales of the devices continue to rise.
The platform is using offline activity and additional integrated data points to predict potential user interest in Promoted Pins.
Mortgage Compare Calculator helps you estimate true mortgage costs and payoff timelines. Adjust home price, down payment, interest rate, loan program, amortization, start date, and payment frequency, and factor in property taxes, insurance, and HOA. Add recurring or one-time extra payments and see the impact in a clear amortization schedule showing principal, interest, expenses, extras, and remaining balance. Free, private, no login, and runs entirely in your browser.
StandrERly provides on-demand HR decision support from certified professionals. Submit your situation, get an upfront price, and receive clear, actionable guidance on employee relations, terminations, workplace complaints, documentation, and policy or compliance questions. Use it without contracts or minimums, with fast turnaround and transparent pricing, so you can move forward with confidence.
New GPUs are optimized substantially for AI workloads, but what if old GPUs like the 8-year-old NVIDIA V100, costing around $100, start to outperform recent offerings in LLMs? NVIDIA V100, an 8-Year-Old GPU, Dusted The 5-Year Old RTX 3060 & 3-Year Old RX 7800 XT With Better Performance & Efficienct In AL LLMs The NVIDIA Volta generation was the first purely dedicated data center series that wasn't available in the standard consumer gaming segment. Volta was the first family to feature the Tensor Core architecture, which has since become the staple for its AI advancements. The tensor core architecture was [β¦]
Read full article at https://wccftech.com/nvidia-v100-an-8-year-old-gpu-now-sells-for-100-us-crushes-modern-consumer-cards-in-ai-llms/
SEO Refresher helps you update underperforming blog posts using real data from Google Search Console. Connect your site, choose posts that need improvement, and let Claude AI restructure and refine content to match search intent and AI answer engines. Export results to HTML or Google Docs and publish faster. With plans from free to enterprise, you save hours while lifting rankings, engagement, and ROI.
The Legend of Zelda: Twilight Princess now has a fully functional PC version The Legend of Zelda: Twilight Princess has been successfully reverse-engineered, allowing modders to create new, unofficial versions of the game for Windows PC, Linux, macOS, iOS and Android. With the Dusk project, Twilight Princess is now playable at higher resolutions, higher framerates, [β¦]
The post The Legend of Zelda: Twilight Princess now has an unofficial PC version appeared first on OC3D.
Silicon Motion's CEO has said that memory (DRAM) and SSD (NAND) shortages would last until 2028 due to the continued demand from AI firms. Memory & SSD Shortages Are So Bad That They Are Expected To Last Till 2028, And Prices Are Expected To Continue To Climb We know that memory and SSD shortages are bad, both in the enterprise and consumer segments. DRAM & NAND makers are adding new factories to boost production capabilities, but these aren't expected to become operational within this year. At the earliest, the first facility expansion and bring-up plans are expected around 2027, which [β¦]
Read full article at https://wccftech.com/silicon-motion-ceo-warns-memory-ssd-shortages-will-drag-into-2028/
TSMCβs success in the semiconductor industry is primarily due to the manufacturerβs unyielding focus on its advanced processes and ability to achieve stability in record time, allowing the company to form long-term business relationships with trillion-dollar firms like Apple and NVIDIA. While being able to mass produce 3nm and 2nm wafers at a mammoth scale is certainly a tremendous feat, SMIC founder Richard Chang does not consider these accomplishments as a benchmark for success and calls it a misconception in the latest interview. Instead, he believes that thereβs another attribute that semiconductor companies must acquire. SMICβs founder says that βexcellence [β¦]
Read full article at https://wccftech.com/smic-founder-says-semiconductor-success-in-advanced-nodes-is-a-misconception/
Intel's CEO, Lip-Bu Tan, has congratulated NVIDIA's CEO, Jensen Huang, on his Honorary Doctorate in Science and Technology, while working together on "exciting new products". Intel & NVIDIA's Journey Has Just Begun, & The World Will Soon See "Exciting New Product" Collabs Between The Tech Giants Today, NVIDIA CEO Jensen Huang delivered a keynote at Carnegie Mellonβs 2026 Commencement and received an honorary Doctor of Science and Technology degree. Intel CEO Lip-Bu Tan congratulated Jensen on this achievement and also announced that the two firms were working on new and exciting products. Lip-Bu acknowledged Jensen's contributions to accelerated computing and [β¦]
Read full article at https://wccftech.com/intel-lip-bu-tan-exciting-new-products-nvidia-hoods-jensen-huang-at-doctorate-ceremony/
Appleβs M5 MaxΒ is currently the companyβs top-end SoC to be found in the MacBook Pro, but thereβs no universe in which the M4 MaxΒ would be considered diminished in any way because itβs still a ridiculously powerful SoC, and a downright expensive one at that. Naturally, any portable Mac featuring the previous-generation silicon would be sold at a premium, but one lucky customer managed to find a top-notch configuration from the most unlikely of places: a pawn shop, for just $1,501. Near-top-tier specifications of the M4 Max MacBook Pro found in a pawn shop featured 64GB of unified RAM and a [β¦]
Read full article at https://wccftech.com/m4-max-macbook-pro-purchased-for-1501-from-a-pawn-shop/
Exabase is a data layer for AI agents that provides persistent, self-improving memory, semantic search, and a cloud filesystem. Its Memory API stores facts and events, builds a dynamic ontology, and returns task-ready context. The Resources and Bases APIs offer each user or agent a searchable workspace with files, notes, and isolated environments. Developers integrate via SDKs, REST, and CLI with fast retrieval, encryption in transit and at rest, and 99.9% uptime, so you can ship reliable, stateful agents quickly.
VAYSS is a global community where you join topic-based rooms to talk in real time, share photos, and connect across countries. Browse music, travel, food, sports, and work rooms and jump in with one tap. Built-in translation handles every message instantly, so you can have natural conversations regardless of language.
Fake DDR5 modules are hitting the market as scammers attempt to take advantage of memory shortages Fake DDR5 memory modules have reportedly started circulating. While they appear legitimate at first glance, they are completely non-functional. The memory chips include bare circuit boards with no memory. TAKI on Twitter/X, as reported by WCCFTECH, cut into the [β¦]
The post Fake DDR5 memory is hitting the market amid supply shortage appeared first on OC3D.
iPredicta is a discovery and intelligence platform for prediction markets. We aggregate live markets from Polymarket and Kalshi into one searchable hub, so you can compare odds across platforms, save markets you're tracking, and get alerts when prices move. Plain-English explainers help you understand how prediction markets work and how to think about probability, built for the next generation moving beyond traditional bookmakers. Coming soon: an arbitrage engine that surfaces price gaps between platforms in real time, alongside expansion to PredictIt, Robinhood, and Crypto.com. UK-launched, US expansion underway.
RankSpot is an automated SEO agent that researches keywords, writes 2,000+ word articles, and publishes them to your blog daily. It connects to WordPress, Webflow, Wix, Shopify, and more, generates on-brand images, structures content for Google, and optimizes for AI assistant mentions. Track competitors, target high-intent queries, and review or edit before publishing while RankSpot grows your organic traffic hands-free.
There is a torrent of jobs available for Appleβs visionOS platform, which may hint that the California-based giant is going through an aggressive hiring spree since thereβs incredible demand for the Vision Pro. Bloombergβs Mark Gurman didnβt believe this was the case and, as a result, was receiving flak for shutting down claims that Appleβs expensive $3,499 mixed-reality headset was a dud, despite the myriad of job postings. Now, he has come forth to bury the confusion by mentioning that Apple has grand plans for the future of visionOS. New job posts are for optimizing the visionOS platform, not to [β¦]
Read full article at https://wccftech.com/apple-vision-pro-not-thriving-as-visionos-job-listings-are-for-other-products/
The M5 ProΒ is a fantastic chipset upgrade for those who want to migrate from Windows or those who believe that their older Apple Silicon is no longer the performer that it used to be. Fortunately, you get to pocket incredible savings on the powerful 14-inch MacBook Pro featuring this chipset because its base configuration has now broken yet another record by crossing the $200 discount threshold on Amazon and can be yours for $1,983.94. The M5 Pro MacBook Pro delivers legendary firepower, which is surprising given its double-digit battery life claims, all that and more, while being $215 off on [β¦]
Read full article at https://wccftech.com/base-m5-pro-macbook-pro-now-215-cheaper-on-amazon/
BuzzBlender is hardware-agnostic digital signage software made for small businesses tired of overpriced or complex tools. It works on any TV (LG, Samsung, Android TV, Philips, etc.) with no extra hardware needed and sets up quickly, with most people up and running in minutes. The software supports QR codes for promos, menus, lead capture, and more. It is fully cloud-based, so you can manage screens remotely. Pricing starts at $5 per screen per month.
SpendCrypto lets you buy digital gift cards for thousands of brands worldwide using Bitcoin, Ethereum, stablecoins, and more. You can browse categories from food and gaming to travel, pay on networks like Ethereum, Tron, BSC, and Polygon, and receive codes instantly in your account or by email. SpendCrypto makes it easy to turn crypto into everyday purchases.
Memory prices continue going up, and to make matters worse, fake DDR5 memory modules are now flooding the PC segment. Beware, Your Expensive DDR5 Memory Might Be Fake, PC Buyers Advised To Double-Check Their RAM Asian markets are now seeing fake DDR5 memory at several retailers, both online and in shops. These DDR5 memory modules might look real to an average buyer, but on closer inspection, they're equipped with fake DRAM modules and sometimes even worse. So there are several cases of fake DDR5 DRAM modules circulating in Asian markets. Some of these RAM sticks feature fake DRAM modules, which [β¦]
Read full article at https://wccftech.com/fake-ddr5-memory-floods-pc-markets-prices-continue-to-rise/
Zappr is a French dating platform that sparks spontaneous, real-world connections. It helps you meet nearby people for short-lived, in-the-moment conversations and encounters. You start with basic detailsβfirst name, age, and genderβthen get matched instantly to chat and meet now. Zappr emphasizes authenticity and immediacy over endless profiles and swipes, making it easy to act in the moment and connect face-to-face. Everything is temporary with a 2-hour time to live, so there are no GDPR issues. It is a classic "Tinder-like" meeting app but focuses on future location or events-oriented connections with QR codes.
A weird incident was just reported by a Redditor, detailing how his GPU got a different shroud instead of the GeForce one. GIGABYTE Mistakenly Swaps GeForce and Radeon Coolers on NVIDIA and AMD GPUs; Both Users Report Different Branding on Their Cards It's rare to see such incidents, but both reports confirm that GIGABYTE indeed made a mistake in the GPU assembly. A Reddit user u/atta4821 reported that he bought a GIGABYTE GeForce RTX 5060 Ti from Canada Computers. Weirdly, something was unusual when he opened the box, as his GPU didn't look like an NVIDIA GPU. He reports that [β¦]
Read full article at https://wccftech.com/gigabyte-mixes-up-geforce-and-radeon-shrouds-shipping-an-rtx-5060-ti-with-amd-branding/
Maxsun has updated its Intel MoDT (Mobile on Desktop) lineup with two new motherboards featuring the Core 200H "Raptor Lake" CPUs. Intel Raptor Lake "Core 200H" MoDT Motherboards Are Now Super-Affordable, & Compatible With DDR4 Memory MoDT motherboards come in all shapes and sizes. We have seen ATX and mATX offerings, with higher-end versions featuring up to AMD 9955HX3D and Intel 285H options. The thing is that MoDT boards generally aim at the value segment, offering prices that are much lower than traditional socketed CPUs and motherboard combos. These motherboards offer a 2-in-1 design, and while they lack the option [β¦]
Read full article at https://wccftech.com/maxsun-squeezes-intel-10-core-raptor-lake-onto-a-200-usd-motherboard/
ByteChef is an open-source automation platform that lets teams build visual workflows, create multi-step AI agents, and connect apps without vendor lock-in. You own your data and get transparent pricing while bridging business users and developers with a drag-and-drop editor, flow controls, and execution previews. Use it to automate cross-app processes, integrate SaaS tools, and deploy AI-powered operations quickly.
AI is great for many tasks, but the costs to run AI are also exponentially higher than those of human workers, says NVIDIA. NVIDIA Highlights Large Cost of Running AI Versus Human Employees, While Suggesting That Humanity's Future Revolves Around The Adoption of AI As AI becomes part of every single IT domain, the costs to keep the entire ecosystem up and running have also grown rapidly. AI firms are spending trillions of dollars in upgrade costs of their existing AI factories while setting up new ones in multi-Gigawatt projects. At the same time, NVIDIA, the pioneer of AI advancements, [β¦]
Read full article at https://wccftech.com/nvidia-own-ai-costs-now-exceed-what-it-pays-human-employees/
Lima makes it easy to see how top AI platforms like ChatGPT, Claude, Grok, Google AI, and Perplexity talk about your brand. You can track your brand and competitors to see when they're mentioned, get insights on how to grow AI search traffic, receive a free site audit to check AI readiness, get prompt suggestions and monitoring, and see citation URLs to understand how you or competitors are mentioned. AI platforms are shaping how people find brands, products, and services. Lima helps you know where you appear, how competitors compare, and what to do to grow your visibility in AI search.
AICVscreening helps recruiters shortlist top talent fast. Paste a job description, upload CVs in PDF or DOCX, and get ranked candidates with AI-generated relevance scores and clear explanations. The platform bulk-processes resumes, parses skills and experience, reduces bias with consistent criteria, and exports shortlists to CSV. Start free with 50 credits and pay as you go when you need more.
FamFeel is a private family check-in and calendar. Set it on a kitchen iPad or phones so each person taps an avatar, slides a mood, and optionally adds a quick note; you see the whole house at a glance. It's easy for all ages to keep track of upcoming events.
FamFeel keeps data in the family with a join code and PIN, no accounts, and no background tracking. Toddler mode helps non-readers, and it scales from four members to large blended households, pets included.
Google deprecated FAQ rich results, completing a removal that started years ago. FAQ rich results were already restricted for most sites.
The post Google Drops FAQ Rich Results From Search appeared first on Search Engine Journal.
Smartphone titans like Samsung have made efforts to ensure that the DRAM crisisΒ doesnβt adversely affect their βday to dayβ operations, but these attempts were futile as the Korean giant has been forced to introduce a price hike to the Galaxy S26 series. However, the company is working to ensure that it minimizes additional component cost bumps by moving to a dual-sourcing strategy. Since displays are among the more expensive parts of a smartphone, the base Galaxy S27 could feature panels from Samsung and another manufacturer, but this could lead to quality disparities in the future. Chinese suppliers could become a [β¦]
Read full article at https://wccftech.com/galaxy-seeking-inferior-display-supplier-to-keep-galaxy-s27-component-costs-down/
Kin is a privacy-first AI advisor app with five specialist advisors covering work, relationships, health, values, and social confidence that remember who you are. Unlike general AI that starts fresh every session, Kin builds a persistent picture of your patterns, decisions, and relationships over time. Context compounds, decisions get sharper, and support is there when the pressure is on. It is built on zero-access architecture so your personal data belongs to you.
Your AI, fully offline with Zero data collection & 100% free
Open-source React UI library for Tailwind and AI Workflow
Create hyperrealistic product visuals with AI
New dashboards, connectors, sidebar & smarter AI agents
Find investors who've backed founders just like you
An AI assistant whose memory belongs to you
Claude Code and Codex in your Mac notch
Open-source coding security harness
Levanta turns personal growth into a structured system instead of random content. Instead of watching videos and hoping for change, you follow a skill tree that builds real abilities step by step with clear progression. Each skill includes actions, challenges, and measurable progress, so you donβt just learn, you actually improve. Weβre opening early access to a limited group of users to test the system and help shape it before full launch.
WishDay reminds you of birthdays and special occasions and creates a ready-to-share greeting instantly. When it's time to wish, WishDay uses AI to generate personalized greetings based on your relationship, tone, and style. You can adjust and polish greetings with just a few taps and add custom occasions for the moments that matter to you. No more last-minute scrambling, just thoughtful greetings ready when you need them.
LifeJar is a scheduled delivery platform for messages you want to send loved ones on important days. You write a letter, upload photos, and record a short video, then LifeJar compiles it all into one cinematic video. The jar stays sealed until the date you choose, like graduation morning, a wedding, or a milestone birthday. On that day, your recipient gets an email to watch what you created. You can also invite family to contribute so that a grandmother's voice memo, a sibling's photo, and your own letter appear in the same jar before it opens. It's built for parents, adult children of aging parents, or anyone with a milestone that deserves more than a text.
N1 brings brackets, fantasy, trivia, and pickβem games together in a platform focused on friendly competition. Build crews, climb leaderboards, and see real rankings without gambling or pay-to-win mechanics. Join seasonal and daily challenges, compare picks with friends, and enjoy the sports you love in one place.
LocalPipe helps you find, export, and contact local business owners at scale. Use Google Maps search to build lead lists, then enrich owner names, verified emails, and direct phone numbers with pay-on-find credits. The platform triple-verifies emails, supports multi-title searches, and offers an API and Clay integration so you can push fresh, live-scraped contacts straight into your workflows.
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