Google previews Meridian GeoX, Meridian Studio, Data Manager updates, and visual Google tag setup ahead of Google Marketing Live.

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Google is trying a new method of bot authentication named Web Bot Auth. Google posted a new help document that explains that Web Bot Auth is a “new cryptographic protocol that helps websites to validate that bots are authentic.”

The goal of Web Bot Auth is to help you automate the process of authenticating which AI Agent bots are authentic and which are fraud.

Limited test. Google said the search compan is “testing the protocol with some AI agents hosted on Google infrastructure.” Not all Google user agents are using Web Bot Auth and Google is not yet signing every request of agents using the protocol.

Thus Google recommends that in addition to Web Bot Auth you continue relying on IP addresses, reverse DNS, and user-agent strings as Google gradually rolls out signed traffic.

What is Web Bot Auth. Google defined Web Bot Auth as “Web Bot Auth is an experimental cryptographic protocol used to authenticate requests sent by bots. Instead of relying solely on self-reported headers and IP addresses, Web Bot Auth allows agents to cryptographically sign their requests.”

Web Bot Auth can bring the following benefits according to Google:

• Future-proofing: Help establish a web where agent providers and websites can build mutual trust and make informed access decisions.
• Cryptographic certainty: Move beyond easily spoofed headers to a verified identity and decouple agent identity from IP addresses.
• Better observability: Gain clearer insights into how agents interact with your content.

Why we care. As AI Agents become more and more common across the web, managing which Agents can access your site and web pages may become more and more of a challenge. This new method of authentication may help you allow authentic AI Agents and block the inauthentic AI Agents.

Again, this is an “experimental” feature right now, so keep track of its progress.

One of the major reasons PPC practitioners hold onto syntax-oriented keyword strategies is the disconnect between “query intent” and “conversion intent.” For years, you’ve likely relied on keywords to show you understand what your customers want and to prequalify traffic using syntax-oriented signals.

As user behavior shifts to more conversational queries and AI becomes an increasingly relevant part of the user journey, the distinction between these two intents becomes even more critical to understand and act on.

Here, we’ll define query and conversion intent and explore strategies to apply them effectively. This isn’t prescriptive. You should make decisions based on what will serve your business well. However, it provides a framework for analyzing your data and optimizing for the right humans.

Disclosure: I’m a Microsoft employee, and I’ll be sharing some examples that pull from Microsoft tooling. However, most of the strategies reflect platform-agnostic approaches.

What are query and conversion intents?

Query intent is the underlying need driving the text put into a search function. This search function can be on a SERP (search engine results page), video/social/gaming/email/site search bar, or AI surface.

Conversion intent is the human need to achieve some outcome, understood through stated and inferred data points. These range from text entered in various search experiences, content consumed, and tracked actions taken.

Different examples of query and conversion intent will have higher or lower rates of confidence based on how explicit text is, as well as patterns in content consumed.

For example, if I search “Microsoft ads login,” both query and conversion intent are clear — I want to log in. It’s easy to match ads and organic content to that query. Videos shown in any video query would have to do with logging in, and emails would be focused around login information.

Google SERP

Bing’s SERP

YouTube results

The query “Microsoft ads” is more nebulous, as such, needs to draw from other signals like previously engaged content and search history. While I might get a login page, I’d likely also see blog/sales content, third-party advice on Microsoft ads, and potentially competitor info trying to capitalize on the general nature of the query.

Google SERP

Bing SERP

YouTube results

Let’s look at a non-branded example as well. “Purple hair dye” has a clear transactional intent. While the user might not have a brand in mind, they know they want a specific color. 

We don’t know if the user is looking for a semi-permanent or permanent color. We also don’t know the user’s pronouns, so matching them to a specific demographic to entice a purchase is a gamble. 

Google SERP

Bing SERP

YouTube results

In the query “purple hair dye for long wavy hair,” the transactional intent is maintained. However, the query focuses more on the core needs of the person behind the text. Long, wavy hair means there needs to be enough dye to cover long hair.

Additionally, while some men have long wavy hair, the person behind the query is more likely to identify as female. 

Wavy hair has a different composition than straight or curly hair, so products specifically for wavy hair will be more relevant than those without hair type identifiers.

Google SERP

Bing SERP

YouTube results

In all of these examples, there was clear conversion intent. The human behind the query clearly wanted to achieve something. However, if we relied only on the text (i.e., query intent), we might miss a meaningful opportunity to connect with customers. 

This is why close variants (which have been available on both Google and Microsoft for ~10 years) represent a useful way to unshackle ourselves from syntax alone.

Additionally, by limiting our understanding of queries to SERPs, we ignore critical insights from where our customers connect, work, and play. Microsoft’s internal data from March 2024 shows that brands that use both Audience ads (display, native, and video) and Search see a 6x conversion rate. Part of this is brand recognition, and the power of brand media buys influencing performance.

Yet there’s also the pragmatic piece that some marketers refuse to engage with video and social. By being where your competitors refuse to be, you can shape and capture desire while they fight over a shrinking share of voice.

How to optimize for each intent

Once you understand the difference between query and conversion intent, you can begin mapping out the actions needed to capitalize on both.

Conversion intent is much easier to understand than query intent. This is why AI systems typically run queries in the background to understand human input and get at the conversion intent behind the query. 

To succeed at shaping queries and capturing conversions, it’s critical to understand the input points for humans and the AI systems that will be serving them results.

Let’s revisit the “purple hair dye for long wavy hair” query:

Copilot surfaces how it arrived at the output by looking up information and finding the best matches. This is similar to the SEO concept of E-E-A-T.

Yet you’ll notice that the results for my personal Copilot are different than the traditional SERP (chiefly that ads aren’t the dominant result — ads serve at the bottom of clearly transactional conversations after organic listings).

This is where the “Details” function comes into play and can help you know where to focus content, feed, and messaging functions:

This product is pretty flat on price, save for some deep summer dips. If I’m desperate for color, I might buy now, or I might wait for what seems like a regular summer sale. I’m also getting insights into why this product is wonderful (hair conditioning, cruelty-free, vibrant, and customizable color, etc.).

These are things I’ve shown interest in through past purchases, conversations with Copilot, and other signals it has access to.

Brands that want to optimize for query intent need to make sure the following are in good order:

• Feed/landing page clarity
  • It should be incredibly easy to map what the product/service is to the query. While there is value in some 1:1 matching of language, it’s much more important that the core offering be understood as aligned with what the human is looking for.
  • For example, DUI and DWI are technically two different charges and have geo implications. However, DUI tends to be the universal legal charge and service.
• Images adding context
  • Visual content is critical to engage humans. However, if the image isn’t clear or is duplicative of another service/product page, you might confuse the user and the machine attempting to understand and position you for queries. This is why it’s critical to add alt text (even on paid landing pages) for images and videos.
  • A good way to test whether your visuals are serving you well is to put the landing page into a PMax campaign creator. If you see the images and they match the correct service text, you’ve done a good job.
• Invest time in understanding how humans and AI are querying
  • Free tools like Google Trends, Microsoft Clarity, and Bing Webmaster offer insights into search trends, citations, grounding queries, and which AI systems and humans are successfully engaging with your content.

Conversion intent is more straightforward, though debatably harder because it requires more creative and critical thinking: 

• Matching messages to personas
  • The reason one person says yes to you might be completely different from the reason someone else does. Locking in conversion intent includes being mindful of how you’re selling yourself. If you ignore what matters to your customers in reviews, intake from customer success or sales, and other signals, you risk selling yourself badly and losing the customer.
  • This is where AI-powered creative and audience mapping can be helpful, since platforms have access to more insights than a brand does during the auction.
• Honor the impulse nature of visual content
  • Someone coming to you from a display spot or short video is very different than someone coming from a text-laden SERP. They were inspired to act and need frictionless paths to conversion.
  • One-click checkout (including solutions like Copilot Checkout) ensures humans don’t need to think to do business with you.

Ultimately, both query and conversion intent need brand and performance marketing to be successful, and it’s critical to understand how the success metrics manifest.

The converging roles of brand and performance

For a long time, brand and performance marketing were treated as separate motions, with separate owners, budgets, and success metrics. 

• Brand was about reach, recall, and long-term connection. 
• Performance was about efficiency, conversion rate, and immediate return. 

That separation made sense when channels, measurement, and user journeys were cleaner than they are today. It’s much harder to maintain in an environment where AI systems infer intent continuously and across surfaces. 

A user doesn’t experience brand and performance as separate. They experience confidence, familiarity, relevance, and ease. Those signals are created over time through exposure, engagement, and trust, and they often determine whether conversion intent ever materializes, regardless of how “high intent” a query might appear on its own.

From a metrics perspective, this convergence is clear. Brand-oriented activity influences performance outcomes even when it isn’t the final touch. Exposure to display, native, or video doesn’t always produce an immediate click, but it changes how humans and systems interpret future behavior. 

When someone later performs a search, engages with an AI assistant, or compares options on a marketplace, prior brand interactions act as accelerators. They reduce hesitation, shorten decision cycles, and increase the likelihood that a conversion signal will be credited downstream.

From a strategy standpoint, this means brand work should no longer be evaluated solely on isolated upper-funnel KPIs, and Performance work can’t be evaluated purely on last-click efficiency. 

Audience-based formats, contextual placements, and visual storytelling directly shape conversion intent by shaping preferences and expectations before a query even occurs. Search and shopping formats then serve as capture mechanisms, translating that latent intent into action.

This is particularly relevant in AI-assisted experiences, where systems synthesize multiple inputs before presenting options or recommendations. Content, feeds, reviews, images, and historical engagement all influence how brands are represented and when they appear.

In these environments, strong brand signals don’t compete with performance outcomes. They enable them by making the brand easier to understand, trust, and choose.

Brand and performance don’t need to use the same tactics, but they must be planned together. Measurement frameworks should account for assistive value, not just final interactions.

Creative strategies should recognize that inspiration and conversion often happen at different moments. Optimization should focus less on forcing intent into rigid buckets and more on supporting the full decision journey.

When we recognize that query intent and conversion intent are related but not identical, the convergence of brand and performance becomes less a philosophical debate and more an operational necessity.

Success comes from designing systems that reflect how humans actually decide, not just how they type.

Key takeaways

• Query intent describes what is said; conversion intent reflects what the human needs to accomplish. They overlap, but they aren’t interchangeable.
• Brand activity shapes conversion intent long before a query is expressed and influences how future interactions are interpreted.
• Performance outcomes improve when Brand signals reduce friction, uncertainty, and choice overload.
• AI-driven experiences amplify this convergence by relying on cumulative signals rather than single actions.
• Sustainable optimization requires aligning brand and performance strategies, metrics, and expectations around the same human outcomes.

In February 2025, the world watched as a small group of humanoid robots took the stage at the CCTV Chinese New Year show for the very first time. It was a charming performance, even if the steps were shaky and the movements were mostly limited to the arms.

Just one year later, at the Spring Festival Gala, the shaky steps were gone and the humanoid robots were able to actually run and do standing somersaults and full kung fu routines with swords and nunchaku. The message was clear: in just one year, we have witnessed a decade’s worth of advancement.

The 10-year leap in technology is real and not limited to robotics. Which raises a critical question for every digital marketer eyeing the world’s largest web population: How has search in China progressed in recent years?

A parallel in the Chinese search landscape

The answer is that we’re witnessing the first, calculated tremors of a massive shift. AI models have not yet replaced traditional search. The evolution isn’t happening through a single “big bang,” but through a constant, iterative pulse. 

New LLM models are surfacing every few months, each more specialized than the last. Chinese tech giants are increasingly open-sourcing their models, and even industry leaders are hedging their bets. Baidu, for example, is integrating DeepSeek into its search experience, even as its own Ernie (Wenxin) model remains a formidable powerhouse.

Let’s look at how users actually search in China today — and what this nuanced shift from links to reasoning means for your 2026 SEO strategy.

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The great narrative fallacy: Is web search dead in China?

In many marketing circles, a specific narrative has been repeated so often it has become an article of faith: “Traditional search on Baidu is dead — and has been for years. Websites are obsolete. In China, everything is WeChat.”

This narrative is almost always driven by service providers whose business models depend on WeChat, Douyin, Weibo, or Xiaohongshu marketing. To them, the “open web” is a ghost town. But is this actually true?

The social supremacy argument

There’s a grain of truth in the hype. The Chinese web is a mobile-first multiverse. Users access and explore the web through super-apps:

• RedNote (Xiaohongshu / Little Red Book): This is the de facto engine for lifestyle research and travel planning.
• Pinduoduo and Douyin: These are the juggernauts of social commerce and impulse buying.
• WeChat: The absolute center of daily life, where everything from a quick message to a utility bill payment via QR code happens.

In this environment, social media isn’t just a channel. It’s the air people breathe. For B2C brands, social ads can — and often do — exceed website-driven sales by orders of magnitude.

The B2B reality check

For those of us working with B2B companies that need real visibility in China, the “Baidu is dead” narrative falls apart the moment you look at the analytics. Clients who invest in Baidu SEO and Baidu search engine advertising (SEA) continue to see a steady, high-volume stream of real human visitors — in many cases generating more qualified leads and higher conversion rates than their counterparts in the UK or Germany.

Why? Because when a B2B procurement officer or a technical engineer needs a specific industrial solution, they don’t just scroll until they find it on a social media feed. They search for a verified, authoritative source. In other words, they look for a website.

Is the social media narrative a lie? No. But ignoring a channel that — at least in the B2B sector — remains more effective in China than in many search-first Western countries is simply bad business. The goal isn’t to choose one over the other; it’s to understand how they coexist. 

And just as we’ve settled the debate between web marketing versus app marketing, a new challenger — the LLM — has entered the battleground to disrupt both.

Mapping the 2026 landscape: Intent-based specialization

To a Google-first marketer, the idea of searching anywhere but a search engine feels like a detour. In China, it’s the standard operating procedure. Users don’t just “Google it.” Instead, they choose the tool that fits the intent.

As a Baidu specialist living and working in China, I see this daily. While I might be optimizing a B2B landing page for Baidu, my wife is likely on Pinduoduo, finding household deals, or on Xiaohongshu, planning our next weekend trip. 

The “everything app” exists, but the “right app” always wins the click.

1. Traditional web search: The authority tier

Despite the “death of the web” narrative, traditional web search remains the primary battleground for B2B and high-authority research. If a user needs a technical whitepaper, a government regulation, or a verified corporate headquarters, they go here.

• Baidu: Still the mobile heavyweight, with a ~70% mobile market share. Its structural advantage is massive: The Baidu app is installed on over 724 million monthly active devices (as of early 2026). It has evolved into an AI-first portal, but for SEOs, it remains the place where the open web lives and breathes.
• Microsoft Bing: The professional’s sanctuary. It has claimed a massive chunk of desktop search for those seeking a cleaner, international, or technical experience.
• Haosou (360 Search): The enterprise default, often pre-installed on corporate PCs and known for its security focus.
• Sogou: Deeply integrated with WeChat, it’s the bridge between the walled garden and the web.
• Google: Yes, Google. Despite the firewall, a significant population of tech-savvy professionals and researchers use it via VPN for global technical data and academic resources.

2. Social discovery: The inspiration tier

This is where search becomes discovery. Users don’t always have a keyword, but they do have an interest. In this context, SEO is about social indexing: ensuring your brand appears when a user looks for proof and not just products.

• WeChat (Weixin): The internal search for official brand news and private traffic.
• Xiaohongshu (RED): The ultimate product-discovery engine. If you aren’t on RED, you don’t exist in the lifestyle or luxury sectors.
• Douyin: Visual, video-first search. Users search Douyin to see how something works.
• Kuaishou: The powerhouse for lower-tier cities and raw, authentic grassroots content.
• Weibo: Real-time search — what is happening right now in the public eye.
• Bilibili: Long-form video search for deep dives, tutorials, and Gen Z subcultures.

3. Ecommerce: The transactional tier

In the West, users often start on Google and end on Amazon. In China, the journey frequently starts and ends in the same place.

• Taobao / Tmall: The grand bazaar. If you want variety and brand stores, this is the first stop.
• JD.com: The Amazon of China for logistics and high-end electronics.
• Pinduoduo: The favorite for daily essentials and group-buy deals. Its search logic is entirely driven by value for money.
• Douyin Mall: The rising star of “impulse search,” merging entertainment with immediate checkout.
• Xianyu (Goofish): The go-to for the thriving second-hand market and hobbyist niches.

4. Generative AI (LLMs): The reasoning tier

This is the newest layer of the map — the “thinking” search. These AI models don’t just produce lists of links. They are assistants that synthesize the web for the user.

• Doubao (ByteDance): Currently the most popular consumer AI assistant, used for casual, conversational queries.
• DeepSeek (Domestic): The choice for developers and those in need of “deep thinking” logic. It’s the engine currently getting tested inside WeChat’s search bar.
• Kimi (Moonshot AI): The king of long-context. Users use Kimi to search through 50-page PDFs or complex financial reports.
• Qwen (Alibaba): Powerfully integrated into the Alibaba ecosystem for business and coding tasks.
• Tencent Yuanbao: The “AI brain” for WeChat content.
• Wen Xiaoyan (Baidu): The AI-facing evolution of Baidu search.

5. Hyper-local and logistics: The utility tier

For the physical world, search is about “now” and “near me.”

• Meituan / Dianping: If you’re hungry or want to see a movie, you don’t use Baidu. You use Dianping for reviews and Meituan for transactions.
• Amap (Gaode) / Baidu Maps: The “search engines of the real world.” SEO on these platforms is purely about point-of-interest (POI) optimization.
• Ctrip (Trip.com) / Railway 12306: The specialized gates for the massive domestic travel market.

From mapping to maneuvering: The Baidu specialist’s edge

Baidu SEO isn’t dead; your website just isn’t the sole focus of web search anymore.

The ‘walled garden’ SERP: A decade of distraction

If you’re a Google-centric SEO, there are some notable differences when working with Baidu:

• The ad-heavy layout: It isn’t uncommon to see ads claiming the top, middle, and bottom of a Baidu search engine results page (SERP), occupying nearly 50% of the visible real estate.
• The Baidu monopoly: The most coveted organic positions are almost always reserved for Baidu’s own properties. Baidu Baike (the encyclopedia), Baidu Zhidao (the Q&A hub), and Baijiahao (the news/blogging arm) are the permanent residents of Page 1.
• The portal giants: High-authority giants like Zhihu (China’s Quora), Bilibili, and Sohu take up whatever space is left.

Riding the Chinese SERP dragon

In this environment, ranking a corporate homepage for a high-volume keyword is a fool’s errand. Instead, we’ve mastered the art of the “long-tail dragon.”

In the West, we talk about the long tail of search as a small, niche opportunity. In China, with its linguistic complexity and massive user base, the long tail is a winding, multi-layered beast that is often more lucrative than the head terms. 

And we don’t just rank a website; we piggyback on the authority of the platforms Baidu already trusts. If you can’t beat Baidu Baike, you become the verified entry inside it.

Interestingly, it is these very platforms — the ones we’ve been using to bypass the “blue link problem” — that have now become the primary focus of the next generation of search.

What is changing in Baidu SEO?

In China, there is no brand loyalty toward particular AI models, as Westerners have toward platforms like ChatGPT and Claude.

The AI-switching reality

Chinese users are restless. They don’t stick with one model. They switch — sometimes because a hyped model hits a downtime wall, and sometimes because a new model claims the throne of the “most intelligent AI.” In this cycle of competition and user preference, an SEO can’t just focus on the “big sources.”

If you’re following the Western playbook, you’re likely chasing Reddit, Quora, and YouTube as your “sources of truth” for AI training. But in China, that focus is dangerously narrow. To win the reasoning battle, you must understand the investor-source connection.

Brainstorming the wisdom platforms

If you want to train AIs to see your brand in China, you have to look at the platforms they were built on:

• Tencent is invested in Sogou. In 2021, Tencent fully privatized Sogou. This means Sogou Baike is no longer just a Baidu alternative — it is now a core training set for Tencent’s Yuanbao. If you ignore Sogou Baike, you’re invisible to the AI search bar inside WeChat.
• Bytedance owns Baike.com. Bytedance bought Baike.com (formerly Hudong Baike) specifically to fuel its search ambitions. If you want to get cited by Doubao, your content needs to be mirrored here and not just on Baidu.
• The neutral giants: Keep an eye on Zhihu. Because both Tencent and Baidu are heavy investors in Zhihu, it remains one of the few neutral high-authority sources that almost every Chinese LLM uses for opinionated or expert reasoning.

The new SEO commandment

We’re no longer just optimizing for a search engine. We’re optimizing for a data pedigree.

If your client is B2B, you might still prioritize the Baidu ecosystem. But if your client is in ecommerce and you aren’t feeding the Qwen engine via Alibaba’s ecosystem, or the Doubao engine via Baike.com, you’re limiting your visibility across key AI systems.

The 2026 China SEO/GEO blueprint: From keywords to semantic saturation

If you’re waiting for a “DeepSeek optimization checklist” or a “Doubao ranking guide,” you’ve already missed the point. Because users switch models as often as they switch takeout apps, you can’t afford to be “Baidu-only” or “WeChat-centric.”

Here is what’s actually working for SEO in China in 2026:

Optimize for citations and not just clicks

While SEO in the West is focused on generative engine optimization (GEO), in China, it’s all about fact density. 

• The logic: When Kimi or DeepSeek performs a reasoning query, the AI looks for verifiable facts.
• The tactic: Stop writing marketing fluff. Start using the inverted pyramid writing style. Lead with a direct, data-backed answer in your first paragraph. Use hard statistics, expert quotes, and structured lists. If a model can’t extract a fact from your content in 200 milliseconds, it might hallucinate a competitor’s data instead.

Build an entity moat across wisdom platforms

As we brainstormed earlier, every AI has a “parent” with a preferred data source. But since models are now open-sourcing their weights and distilling each other’s intelligence, your brand must achieve entity consistency.

• The goal: Your brand name, headquarters, and core product claims must be identical across Baidu Baike (Baidu), Sogou Baike (Tencent), and Baike.com (ByteDance).
• The result: When these models cross-check their reasoning, they find a consensus. In 2026, consensus is the new authority.

Leverage information gain

Chinese AI models have a well-observed recency bias — they prefer sources that are roughly 25% fresher than traditional search results.

• The tactic: Don’t just regurgitate what’s already on Zhihu. Provide a “unique data slice.” If everyone says “The best time to post on Douyin is 6 PM,” and you publish a case study proving “11 AM is better for B2B industrial leads,” the AI will cite you as the “nuanced exception.” That citation is worth more than ten #1 rankings.

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The era of the entity architect

We’ve come a long way from the shaky steps of the 2025 CCTV Gala.

In 2026, China’s search ecosystem is no longer a directory of links. It’s a living, reasoning entity.

For the Western search specialist, the lesson is clear: The “super app” was a distraction. The real story is the fragmentation of intent.

My wife still goes to Pinduoduo for the best price. My colleagues still go to Bing for technical sanctuary. And the “I, Robot” enthusiasts of 2026 are using a rotating door of LLMs to find their answers.

As a Baidu specialist, my job has shifted from “ranking a website” to “architecting an entity.” We no longer build for the bot; we build for the source. If you’re the undeniable source of truth across the platforms that shape China’s information ecosystem, it doesn’t matter which model delivers the answer.

You’ll be the one they’re cheering for.

be quiet’s Dark Rock 6 series CPU coolers are launching this month be quiet has officially announced their new Dark Rock 6 and Dark Rock 6 Pro CPU coolers, both of which are launching this month on May 19th. These coolers feature all-new designs, promising significantly improved CPU cooling performance compared to their predecessors. This […]

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Being fast can be a problem, well, you haven't heard that one right? Apex Legends developers just fixed an issue with physics calculations on AMD Ryzen X3D CPUs caused by their high single-threaded performance. Apex Legends Patch Addresses Physics Calculations-Based Stutters Encountered On CPUs With Fast Single-Threaded Performance, Such as AMD's Ryzen X3D Apex Legends rolled out its latest patch, "Overclocked," which includes a range of changes, including performance improvements on the PC platform. One of the changes is unexpected, which calls out the fast single-threaded performance of AMD Ryzen X3D and a similarly performant CPU as the primary cause […]

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Around five months ago, CI Games CEO Marek Tyminski signaled a shift in tone for Lords of the Fallen 2 away from "political correctness" and toward, among other things, skimpy female armor designs. Now, that's been confirmed with the official reveal of five concept art pieces that leave little to imagination: the female characters will feature much more revealing armor sets in the upcoming Soulslike sequel. The studio claimed to be responding to players' feedback: You wanted fierce. You wanted beautiful. You wanted provocative. The reveal also took place in partnership with content creator TheBackgroundNPC, who focuses specifically on female […]

Read full article at https://wccftech.com/ci-games-lords-of-the-fallen-2-skimpy-armor-female-characters/

Karaads is a social platform that lets you connect, share moments, and earn rewards by engaging with ads. It offers a personalized space where you can build friendships, watch relevant ads, and discover the latest trends tailored for you. Scroll through an algorithm-driven feed, follow creators, and engage in conversations to build authentic communities.

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AI pager that investigates incidents before wakeups

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Google says a new wave of users are learning that Search can handle more complex questions, changing how they search.

The post Google Says A New Wave Of AI Users Is Transforming Search appeared first on Search Engine Journal.

Google says AI's ability to surface common information makes human experience and subjective insights more valuable for content.

The post Google: AI Makes Human Experience More Important For Content appeared first on Search Engine Journal.

In February 2024, Gartner predicted that traditional search volume would drop 25% by 2026. It didn’t. Google’s search revenue accelerated to 17% year-over-year growth, crossing $63 billion in Q4 2025 alone. But clicks per search are falling while query volume explodes. The pie got bigger. The slices got redistributed. And most search teams are still optimizing for the old pie.

Are you still poring over spreadsheets full of organic keyword rankings like it’s 2003? Your customers don’t care where they’re getting their answers. They’re just looking for answers they can trust. And they’re finding those answers across more surfaces than your rank tracker knows exist.

If your organic strategy lives in one spreadsheet, your paid strategy in another, and your AI search strategy in a third (or nowhere), you’re optimizing for a search experience that no longer exists.

What “search” actually looks like now

Google “best tax software” right now. Go ahead, I’ll wait.

Count the surfaces on that single results page. Sponsored ads across the top. An AI Overview with its own recommendations and citations. A Reddit thread (because Google knows people trust other people more than brands). Organic listings from CNET, H&R Block, and others. A video carousel. Discussion forum links. A product carousel with images and prices. More sponsored results at the bottom. And a “People also search for” section feeding the next query.

That is one search. One keyword. And nobody owns it.

Now think about how different people actually use that page. I scroll past everything to find the Reddit thread, because I want to know what real humans recommend. My dad clicks the first sponsored ad because he doesn’t understand paid advertising (sorry, dad!) and just trusts Google to surface the best option up top. Someone else reads the AI Overview, gets a good-enough answer, and never clicks anything at all. A fourth person watches the Smart Family Money video and leaves.

Same query. Four completely different paths. Four different “winners.” And if you’re the brand celebrating a number-three organic ranking on this page, you may be missing that most of the real estate, and most of the user attention, lives somewhere other than those blue links.

This is what I mean by the total SERP experience. Your customer sees the whole page. You should too.

The AI layer changes the math

AI Overviews now appear on roughly 25% to 48% of Google queries, depending on the study. ChatGPT processes 2.5 billion prompts a day. Perplexity is up 239% year over year. These are real numbers from real platforms where real buyers are forming opinions about your brand, or not forming opinions because you’re nowhere to be found.

But before the panic sets in: AI tools still account for less than 1% of U.S. web traffic. Google sends 300x more referral traffic than all AI platforms combined. The sky isn’t falling, but the ground is shifting.

The shift that matters most is behavioral. Wynter’s 2026 research found 68% of B2B buyers now start their research in AI tools before they ever open Google. They ask ChatGPT to narrow the field, then Google the shortlist to validate. AI evaluates, Google verifies, and your website converts. If your brand is missing from that first AI conversation, you’re not even on the shortlist when the Googling starts.

Why the click data is more interesting than scary

A Search Engine Land analysis of 25 million organic impressions across 42 clients found organic CTR drops 61% when an AI Overview appears. In addition, paid CTR drops 68%.

EVERYBODY FREAK OUT!!! Right? Not quite.

Here’s what the panicked LinkedIn posts leave out: brands cited inside AI Overviews see 35% more organic clicks and 91% more paid clicks. Being in the AI Overview doesn’t cannibalize your traffic. If anything, it amplifies it. The AI Overview functions like a trust signal, a stamp of “this brand is relevant to your question” that makes people more likely to click your listing below.

The real twist, though, is that ranking well in organic doesn’t guarantee you show up in AI. Tom Capper’s research at Moz found 88% of AI Mode citations are NOT in the organic SERP for the same query. Organic and AI are pulling from different source pools. You can be number one in Google and completely invisible in ChatGPT’s answer to the same question.

And the small amount of traffic that does come from AI? It converts at more than quadruple the rate of organic, according to Semrush. These visitors arrive more informed, more intentional, and more ready to buy. Which makes sense, because they’ve already done the evaluation inside the AI interface. By the time they click, they’re just confirming and often converting.

The org chart is the problem

Most companies have SEO reporting to content, PPC reporting to demand gen, and AI search reporting to nobody. BrightEdge found 54% of organizations have handed AI search to the SEO team alone, which is a little like asking your plumber to also handle the electrical work because, hey, it’s all in the same house.

The waste from this setup is real. One branded Performance Max campaign paid roughly $500,000 for clicks that would have come through organic anyway. Google’s own research confirms: when you rank number one organically, only half your paid clicks are truly incremental. The other half? You bought what you already owned.

Meanwhile, McKinsey found that a brand’s own website makes up only 5% to 10% of the sources AI references. AI pulls from Reddit, review sites, affiliates, publishers, and user-generated content. You can have the best SEO program in your category and be completely absent from AI search results because AI is reading what other people say about you, not what you say about yourself.

The unified approach works. Level cut acquisition costs 18% and boosted SEO leads 22% by merging paid and organic for a B2B SaaS client. And we can use tools in our Level Intelligence Suite to connect performance signals across search surfaces. The channels compound each other. Treating them as separate line items on separate P&Ls leaves that compounding on the table.

Three audits you can run Monday morning

You don’t need a six-month transformation to start seeing the gaps. Three lenses, applied to your top 20 keywords, will show you where the opportunities and the waste are hiding.

Lens 1: Where do you actually appear? Check your organic rankings, paid ad coverage, and AI visibility across ChatGPT, Perplexity, and Gemini for the same set of keywords. Semrush has a free AI visibility checker. Most teams have never looked at all three surfaces side by side, and the gaps are almost always larger than they expect.

Lens 2: Where are you paying for traffic you already own? Cross-reference your number-one organic rankings with active PPC bids on the same terms. Start with branded keywords, where the waste is usually largest and the test is cleanest. If you rank first and you’re still bidding, you’re probably buying your own clicks.

Lens 3: Where is AI ignoring you? Compare your organic rankings with your AI citation presence. Only 11% of domains get cited by both ChatGPT and Perplexity, so strength in one guarantees nothing in the other. And check your robots.txt while you’re at it. If you’re blocking AI crawlers like OAI-SearchBot or PerplexityBot, you’ve pulled yourself off those shelves entirely.

This diagnostic shows you the full picture. What to do about it, the actual unification framework, is what I’m laying out at SMX Advanced.

The window won’t stay open

Generative Engine Optimization (GEO) keyword difficulty currently averages 15 to 20, compared to 45 to 60 for equivalent SEO terms. That gap will close. Once an LLM selects a trusted source, it reinforces that choice across related prompts. The brands getting cited now are training the models to keep citing them. Winner-takes-most dynamics are being baked into the weights.

Many companies are seeing search traffic drop significantly. Those same brands, the ones that get it right, are seeing the inverse when it comes to business growth. Rankings and revenue have decoupled. The brands that win from here are the ones that stopped measuring channels in isolation and started measuring the search experience their customers actually have.

We’re presenting a search unification framework at SMX Advanced in our session, “Organic, paid, and AI search: one strategy to rule them all.” If you want to stop optimizing for three separate channels and start compounding performance across every search surface, join us for the session or come find the Level team at Booth #9.

Remember: The search experience that existed in 2023 is gone. The strategy should be too.

Halo Studios plans to remake the original Halo Trilogy According to a report from Rebs Gaming, Halo Studios is planning to create remakes of the original Halo Trilogy. Remakes of Halo 2 and Halo 3 are reportedly in early development, and both projects will continue regardless of the performance of Halo: Campaign Evolved. Halo: Campaign […]

The post Halo 2 and Halo 3 remakes are currently in development – leaker claims appeared first on OC3D.

Team Group expands its Elite and Elite PLUS DDR5 range with new DDR5-8000 kits Team Group has officially released new JEDEC standard DDR5-8000 memory modules for its Elite and Elite PLUS product ranges. These modules can deliver 8000 MT/s speeds at 1.1V with CL56-56-56-128 timings, and support both AMD Ryzen and Intel Core Ultra systems. […]

The post Team Group launches new DDR5-8000 memory kits for Intel and AMD Ryzen PCs appeared first on OC3D.

The CPU market looks very different from six months ago. Intel's back in the conversation, AMD's X3D chips still rule gaming, and there's genuine value at every price point.

Final Fantasy VII Remake Part 3 has yet to be officially announced, but recent statements from director Naoki Hamaguchi suggest the game's reveal and release aren't too far off. According to a high-effort leak posted on ResetEra, the third and final entry in the remake trilogy will be revealed during this year's Summer Game Fest opening showcase on June 5, but many of the details sound too good to be true. "I am posting this on behalf of somebody else I know to protect their identity who works somewhere in the chain between Square Enix marketing and Summer Game Fest event staff. The level of […]

Read full article at https://wccftech.com/final-fantasy-vii-remake-part-3-detailed-leak-too-good-true/

The memory shortage faced by Apple can be avoided as the company can purchase DRAM quantities in bulk for a multitude of products, but one area where the Cupertino firm may continue to struggle is chip supply. As TSMC is operating at its maximum capacity by fulfilling 3nm silicon orders for AI customers, it’s adversely affecting iPhone 17 Pro Max shipments to the point that a customer who has been searching around for a flagship unit is unable to find one in a U.S. state. Low A19 Pro chip supply could also affect the second-generation MacBook Neo shipments, as Apple will […]

Read full article at https://wccftech.com/iphone-17-pro-max-shipments-affected-due-to-low-chip-supply/

Levelop helps developers master coding patterns and system design through interactive challenges, an intuitive system design canvas, and daily practice. It adapts to your goals, tracks progress with personalized dashboards, and uses AI-powered guidance to keep you focused and productive. Join a community of learners and builders, set achievable milestones, and consistently grow your skills.

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Vimi is an AI-powered photo studio that turns selfies, pet shots, and couple photos into polished portraits and creative artwork. Browse themed collections like Cute 3D World, Premium Portrait, Playground FX, and Elegant Sari to find a look you love. Upload photos, pick a style, and generate unique images for profiles, gifts, or celebrations in minutes.

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Discreet brainwave wearable for real-time mental insights

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AI fraud detection for documents, IDs, and images

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The next Call of Duty game isn’t coming to PlayStation 4 Over the weekend, rumours began circulating that the next Call of Duty game is being developed for last-generation consoles. This means that the game was being developed with PlayStation 4 and Xbox One in mind. In response to these rumours, Activision has used their […]

The post It’s official; no PS4 – Call of Duty is abandoning last-gen appeared first on OC3D.

DDR6 memory is officially in development All major memory manufacturers, including Samsung, SK Hynix, and Micron, have reportedly started developing DDR6 memory. Alongside substrate manufacturers, “joint development” for the standard has reportedly begun. According to The Elec, this happens “more than two years before product launch”, placing DDR6’s launch in a 2028-2029 timeframe. JEDEC has […]

The post DDR6 memory is officially in development – 2028-2029 launch planned appeared first on OC3D.

This morning, Finnish developer Remedy Entertainment posted its Q1 2026 financial report, which revealed, among other things, a new sales milestone for CONTROL: 6 million units sold. The year's first quarter was profitable but slightly down year over year, with revenue falling 1.9% to €13.1 million, though EBITDA (earnings before interest, taxes, depreciation, and amortization) actually improved to €2.9 million from €2.6 million. The more notable shift is in the revenue mix: game sales and royalties nearly doubled to €5.0 million (from €2.6 million in Q1 2025), while development fees fell from €10.7 million to €8.2 million as CONTROL Resonant nears completion. […]

Read full article at https://wccftech.com/remedy-ceo-control-resonant-franchise-6-million-units/

From screen to polished video in minutes

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Automated cancer diagnostics

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Social media security for brand accounts

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AI clinical trial matching for patients

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Smartphone eye tests for refractive errors

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Native CAD autocomplete — 2.5x faster, 4x fewer clicks

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Foundation model of the Immune System

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Microbiome test kits with AI nutrition guidance

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School cafeteria ordering and payments platform

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AI ultrasound analysis for echo reports

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AI analytics agent for hospitality revenue teams

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Global Neobank for digital businesses

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Stop guessing where your money goes — Hutsy tells you

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The perception layer for Marketers and their AIs

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App-free AR publishing for brand campaigns

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Agentic infrastructure powering video search & monetization.

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Turns business updates into training content

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WhatsApp expense invoicing for company teams

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Enterprise user research platform for product teams

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AI agents for data center cooling and power

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Turns PDF P&IDs into queryable engineering data

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OpenAI appears to be fast-tracking its plans for an AI-enabled smartphone, partially in a bid to bolster its IPO that might land as soon as this year. And, in its urgency, OpenAI appears to be settling on a customized version of MediaTek's upcoming flagship Dimensity 9600 chip as the SoC of choice for the planned smartphone. OpenAI's smartphone will use a customized version of the Dimensity 9600 chip, replete with a dual-NPU architecture and enhanced HDR for real-world visual sensing The famous analyst Ming-Chi Kuo revealed towards the end of April that OpenAI had relegated its planned range of consumer […]

Read full article at https://wccftech.com/openai-picks-mediatek-over-qualcomm-for-its-first-smartphone-customizing-the-dimensity-9600-with-a-dual-npu-architecture-to-challenge-the-iphone/

TwainGPT is an AI humanizer that transforms AI-generated text into natural, undetectable writing using advanced algorithms. Simply paste any draft and TwainGPT rewrites your content to sound genuinely human, bypassing leading detectors like GPTZero, ZeroGPT, Copyleaks, Turnitin, QuillBot, and Grammarly. The platform also includes a built-in AI detector to analyze content from models like ChatGPT and Gemini before publishing. With support for 100+ languages and a smooth mobile experience, TwainGPT is built for anyone who needs human writing that bypasses AI detectors.

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Incident Index turns raw incident notes into structured RCAs and stakeholder-ready reports in minutes. Paste a plain-language description or run a guided Conduct session, and it generates timelines, root causes, 5 Whys, and fishbone diagrams aligned to your team's standards.

Export to PDF, Word, or Markdown, collaborate with version history, and keep a searchable knowledge base of past incidents to spot patterns and reuse learnings.

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The AI-powered calendar that plans your day for you.

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Your #1 new customer is an AI agent. Are they getting an A?

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Learn and master breathwork with guided breathing exercises

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A quiet pace instrument for your Mac

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Turn your voice and screen into shareable videos instantly.

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AI design engineer. Design & ship real UI.

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Parallel agents, diff reviewer, and multi-model comparisons

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Production browser automation, built and maintained by AI

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AI agents built directly into Unity workflows

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Steam Input, now in controller form

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macOS agent that turns prompts into automated clicks

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A local AI coding assistant to delegate tasks to AI agents

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Write and publish posts on LinkedIn & X

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Protect your screen in public with one shortcut

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The antidote to fluffy specs.

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The context layer for production-grade AI agent

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Verify and correct AI outputs before users see them

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Mixed reality tabletop sandbox for XR on Quest & Vision Pro

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Eye-tracking assessments for brain health

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Is your AI spend actually paying off? Prove ROI

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Spot market API for cheaper LLM inference

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Automating business capital access with AI agents

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AI that runs equipment rental businesses

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Agentic AI for frontline hiring and onboarding

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Personal memory layer that works across AI apps

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Identity governance for apps without SCIM

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Talent OS that predicts performance, not just parses resumes

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WhatsApp collections and transfers for independents

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Business spend management with cards and approvals

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AI agents for accounting firms

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Enabling creators to train their communities at scale.

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Vision-first QA testing across web and mobile

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Privacy-first KYC and KYB verification API

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AI study copilot for college coursework

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Autonomous SEO and lead generation for B2B teams

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AI space insights from satellite data

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Real-time electrolyte monitoring from existing wearables

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AI studio for image and video creation

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Truck parking reservations for commercial drivers

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AI revenue workflows for enterprise GTM teams

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Extract, document and modernize legacy mainframe systems

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B2B client and supplier verification platform

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Cash rewards app for saving and paying off debt

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Home-buying software for first-time buyers

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AI orchestration for satellite data networks

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The Infrastructure Behind AI Agencies | White-Label Platform

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Real-time AI answers during sales calls

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AI CTO for codebases

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Procurement marketplace for hotel purchasing teams

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Gamified mental health support for kids

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TSMC is turning into a victim of its own success as the world's preferred chip foundry, leaving its heretofore prized customers such as Apple in a bind of sorts as they suddenly find themselves crowded out by AI hyperscalers. In its frustration, Apple is now reportedly exploring the possibility of dividing up its silicon load between Samsung, Intel, and TSMC rather than remaining largely TSMC-exclusive. Apple is looking for contingencies by tentatively probing Intel and Samsung as additional vectors for manufacturing its custom chips According to Bloomberg's Mark Gurman, Apple has already held "early-stage talks" with Intel for using its […]

Read full article at https://wccftech.com/apple-quietly-courts-intel-and-samsung-for-its-most-critical-chips-as-tsmcs-advanced-nodes-remain-choked-under-ai-demand/

Samsung might have a lot of faults, but a lack of innovation is certainly not among those. As a case in point, look no further than the recent SID exhibition in the United States, where Samsung just unveiled two revolutionary display technologies, unlocking a veritable suite of biomarker-led applications in the process. Samsung flexes its innovative muscle with the "Flex Chroma Pixel" and "Sensor OLED" The famous tipster Ice Universe has just detailed two new display technologies that Samsung recently showcased at the SID exhibition. Samsung's "Flex Chroma Pixel" display combines next-gen emissive materials, such as phosphorescent sensitized fluorescence (PSF), […]

Read full article at https://wccftech.com/samsung-flaunts-a-smartphone-display-that-can-measure-blood-pressure-with-a-single-touch/

Online Whiteboard lets you create and share a real-time canvas with one click. Open a board in your browser, send the link, and collaborate instantly across devices with no sign-up or installs. Teachers, remote teams, and creators sketch ideas, plan projects, and diagram concepts on an infinite canvas that loads fast and stays simple, so you can focus on thinking together.

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GPT Image 2 lets teams create marketing visuals, product imagery, realistic screenshots, and editable assets with high prompt fidelity and readable text. You can start from a prompt or reference, then refine layout, style, and subject with targeted edits that preserve the brief. Use it to produce campaign key visuals, posters, explainers, commerce imagery, and storyboards, then carry the approved still into video workflows.

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CreatorSpark is an AI writing tool for educational YouTube creators that learns your voice, beliefs, and point of view—not just how you sound. Instead of just copying your word choices, it learns what you actually think—your beliefs, your take on your niche, and the positions you’d push back on. You tell it once and it applies that to everything it helps you write. With training from your best content, it helps creators reach 80-90% accuracy instead of the industry standard 60%. Built by a YouTube creator and 10-year copywriter who built her own solution out of frustration.

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Capy Trips is a travel discovery and planning site that helps you find the right destination and map out your getaway. Browse regions and popular cities with data from real travelers, explore hidden gems as alternatives to famous spots, and save ideas to My Trips.

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Nyata AI is Bristol’s AI companion that helps residents find free meals, hot showers, local services, and community events through a friendly chat. It connects you with housing and mental health support, job centres, and when needed, directs you to trained professionals for personalised guidance.

Built by locals and registered with the UK ICO, Nyata AI focuses on accessible, accurate, and privacy-conscious support for people navigating community resources.

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Google's Liz Reid unpacks consequential changes to user search behavior that also impact how to approach SEO.

The post Google On Keyword Fragmentation And User Needs In AI Search appeared first on Search Engine Journal.

The move comes in response to proposed state regulatory measures designed to protect minors from accessing harmful content within the company’s apps.

Topic summaries are determined by artificial intelligence, with the app’s team providing oversight to avoid violating community guidelines.

The feature will allow users to generate audio samples that replicate their own voices, offering new capabilities in digital audio.

The 13-page publication outlines key product trends in the app and provides an overview of related subreddit communities. 

A new partnership with Vistar Media will allow advertisers to bring their campaigns to more than a million placements beyond the app.

The feature is rolling out for accounts that post artificial intelligence-generated content, and the labels will appear on profiles and content.

The platform will allow creators to replace copyrighted songs with royalty-free instrumental clips, while also using conversation context to filter video comments.

As rumors suggest that Google is interested in using Intel for its next-generation tensor processing unit (TPU) chips, well known analyst Ming-Chi Kuo has shared his thoughts on the matter. The analyst believes that yields will be a key factor in Google's decision, especially since the technology giant has started to focus on cost savings for the Humufish next-generation TPU's design. Intel's Yields With The EMIB-T Packaging Technology Will Play Key Role In Google's TPU Orders, Says Analyst Intel's EMIB-T packaging technology, short for Embedded Multi-die Interconnect Bridge Through Silicon Vias (EMIB-T) relies on using a 'bridge' that is embedded […]

Read full article at https://wccftech.com/analyst-warns-googles-intel-tpu-bet-hinges-on-a-brutal-yield-jump-from-90-to-98/

Nintendo fans and Nintendo Switch 2 owners have a lot to look forward to in 2027-2028, if interviewer Kiwi Talkz is to be believed. Reece 'Kiwi Talkz' Reilly, who you may recognize as a YouTuber who regularly interviews game developers and someone who has occasionally leaked accurate information ahead of its official reveal, has shared his latest tidbit that's stirred speculation, and it points to more Metroid, Zelda, and Smash Bros. to look forward to. What 'more' for any of those franchises means is less clear. There's the Legend of Zelda movie that's coming next year, which Reilly mentions, but […]

Read full article at https://wccftech.com/nintendo-switch-2-smash-bros-zelda-metroid-coming-2027-2028-rumor/

Birthday Invitation AI is an all-in-one platform for creating beautiful birthday invitations and managing RSVPs. It offers over 500 curated theme templates like Peppa Pig, Paw Patrol, Unicorn, Minecraft, and more, or you can describe a custom theme in any language. The AI creates personalized, print-ready invitations in minutes. Features include QR code RSVP tracking, real-time guest management, and automatic email reminders. It supports birthdays for all ages, milestone birthdays, 8 languages, and offers a free RSVP form for custom designs.

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PictaBase is a lightweight digital asset manager that helps field teams, agencies, and inspectors turn scattered photo libraries into searchable business assets. Organize images with custom tags and industry templates, then find shots in seconds with chip-based filters and AI-assisted suggestions you control. Upload directly from the browser to your S3 for zero-knowledge privacy, keep portable sidecar metadata, annotate assets for clear feedback, and deliver branded client galleries. Enjoy fast browsing across huge libraries and simple pricing starting with a one-time lifetime license.

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Google's Liz Reid says AI Mode is suited to complex follow-up queries, while browsy searches may still benefit from the full search results

The post Google: Browsy Queries May Favor Full SERPs, Not AI appeared first on Search Engine Journal.

U.S. carriers often have a truckload of salivating deals for customers to upgrade to the latest-generation flagships at a sizable discount, just as long as they satisfy certain requirements. On this occasion, one subscriber was on his way to becoming the proud owner of a Galaxy S26 Ultra, and seeing as how Verizon had one that wasn’t just $600 off, but it was also rewarding an additional line, not to mention an upgraded plan at no additional cost, the offer was a steal. Unfortunately, these deals are only enticing if Verizon can honor them, and due to serious negligence, the […]

Read full article at https://wccftech.com/galaxy-s26-ultra-deal-600-off-and-more-missed-by-customer-due-to-verizon-mistake/

AuthorOS is an AI-powered publishing studio that takes you from a half-formed book idea to a finished, Amazon-ready title. It guides you through four phases (Plan, Write, Prepare, Publish) across 11 stages, capturing your knowledge and voice, building an outline, drafting chapters that sound like you, and producing the cover, listing, and export files Amazon needs.

It's built for first-time authors who have a book in them but don't have a year, a ghostwriter, or a publisher. You bring the idea and the voice. AuthorOS handles the rest, and your name is the only one on the cover.

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Bazzite 44 is a big one. Built on Fedora 44, this gaming-focused Linux distro lands with KDE Plasma 6.6 and Gnome 50, the OGC kernel 6.19, and Mesa 26.0.5 for better GPU support across Vulkan and OpenGL titles. The release also strengthens security with signed ISOs and updates bundled tools.

Video game studios don't often comment on rumours, but when they do they offer welcome points of clarity for players. Today, Activision chose to comment on a rumour that ran rampant yesterday and most of today, which was that the next Call of Duty game (which is largely reported to be Call of Duty: Modern Warfare 4) is being made for last-gen consoles, specifically PS4. The official X (formerly Twitter) account for the shooter franchise cleared the air on that, and seemingly confirmed one of the biggest questions surrounding 2026's Call of Duty entry. "Not sure where this one started, […]

Read full article at https://wccftech.com/call-of-duty-no-longer-ps4-xbox-one/

NVIDIA's Open-Source "Nemotron 3 Super" AI model has topped the EnterpriseOps-Gym leaderboard, showcasing NVIDIA's software prowess. NVIDIA Is Topping Both AI Hardware and Software Leaderboards With Its Open-Source Nemotron 3 Super, Leading The Pack In March this year, NVIDIA introduced its Neomtron 3 Super, a 120B AI model with 12B active parameters. Based on a hybrid MoE architecture, the model is designed to deliver a 5x throughput versus the previous Nemotron Super model, and tackles large context with a native 1M-token context windows that gives agents long-term memory for aligned, high accuracy reasoning. Some of the highlights of NVIDIA's Nemotron […]

Read full article at https://wccftech.com/nvidia-nemotron-3-super-tops-the-open-source-ai-model-chart-beating-deepseek-gpt-oss/

Grand Theft Auto VI will be the biggest video game launch, and perhaps the biggest launch of any single piece of entertainment in history, when it arrives. Whether that's on November 19, 2026, as is the current plan, or on a different date due to an unforeseen delay, that statement is practically set in stone, and that'll happen despite GTA 6 only arriving on PlayStation 5 and Xbox Series X/S consoles to start, and not on PC. Why it won't arrive on PC is a topic of much debate, with speculation being that Rockstar and Take-Two would rather let players […]

Read full article at https://wccftech.com/take-two-boss-why-gta-6-comes-to-consoles-first-pc-second/

In a recent interview with Mundfish founder and CEO Robert Bagratuni about the Atomic Heart series, I inquired about the studio's opinion on NVIDIA DLSS 5, the surprise announcement at GDC 2026 that proved highly controversial among developers and modders: some people love it, others hate it. Atomic Heart already supports NVIDIA DLSS technologies like Super Resolution and Frame Generation. Is Mundfish considering DLSS 5? Well, Bagratuni called it "highly promising", though he added that the developers are following its progress and will evaluate its potential addition in future releases. In short, he hasn't committed yet. DLSS 5 is a very […]

Read full article at https://wccftech.com/mundfish-dlss-5-ai-tools-atomic-heart-development/

Convoe unifies team chat, task tracking, and calendar in one place. Its built-in AI, Kai, reads conversations to extract actions, deadlines, assignments, and events, then syncs them to boards and calendars so nothing slips. Use channels, threads, and DMs naturally; Convoe turns talk into tracked work with zero manual entry and notifies the right people. It replaces separate chat, task, calendar, and AI tools to keep teams aligned at lower cost.

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DecidexAI is an AI data analyst for SaaS teams that monitors Stripe and GA4 metrics 24/7, detects anomalies, and sends real-time alerts via Slack or email. It delivers daily briefings, AI-written weekly executive reports, and answers natural-language questions while providing interactive dashboards with 68 prebuilt metrics. It also predicts churn with customer risk scores and action plans, plus cohort, MRR, and retention analyses, helping you catch revenue dips early and make faster decisions.

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