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AI NewsGrok keeps sending gibberish responses to users

Grok keeps sending gibberish responses to users

1:32 AM IST · August 21, 2026

An unusual glitch has resulted in xAI’s Grok chatbot speaking gibberish to many users. After asking the model to generate a PDF, one user received the response: “match it without and your they and two for planets can practical and often cheese…” with similar nonsense continuing for several paragraphs. Checking source links, another user found a string of links to reinforcement learning research sites. Affected users who spoke to TechCrunch said they were using Grok Lite and noticed the issues as early as Wednesday morning. TechCrunch was unable to reproduce the issue in our own testing, and it is likely affecting only a small subset of users. xAI did not respond to a request for comment. Still, the result has been a lot of confused Grok users. The chatbot’s Reddit community has beenoverwhelmedwithcomplaints. Refreshing the session often restores normal function, but some users reported that the gibberish responses continued even after multiple refreshes. The bug appears to be limited to direct queries on Grok.com. The Grok account on X.com has been unaffected. Responding to unhappy users, the Grok accountconfirmedthe issues on X: “That pure word salad is a rare temporary generation glitch. Official status athttps://status.x.aishows all Grok services fully operational with no incidents. Start a fresh chat or regenerate—it usually clears right away. Sorry about the gibberish,” the account wrote Thursday morning. xAI has seen significant staff turnover in recent months, losingmost of its founding teamand at least 50 researchers and engineers, according toa report from The Information in May. The company released its most recent foundation modelin July, describing it as “an Opus-class model, but faster, more token-efficient and lower cost.”

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Meta brings Pocket, an app that lets you vibe-code and share games, to US users

Meta’s experimental vibe-coding gaming app,Pocket, is now rolling out to everyone in the U.S. The app, whicharrived quietly last monthin the test market of Brazil, allows people to generate small, interactive games using AI prompts, which are published to a scrollable feed. Based on Meta’sacqui-hireof the team at thevibe-coded gaming platform Gizmoearlier this year, these interactive experiences and games — or “gizmos” as Meta calls them — respond to touch and the tilt of your phone, play sound effects, and can include clips of your favorite songs. They can also use photos from your camera roll or access your camera. The resulting games can then be shared on your profile, where others can save them, remix them into other creations, or simply repost them. The app is the latest example of Meta’s push to make AI-creation tools mainstream, following its earlier efforts that included making AI-generated images withits Meta AI appand creating AI videos withan experimental app called Vibes. Pocket now joins these and several other stand-alone mobile applications from Meta in recent months. CEO Mark Zuckerberg has credited the increased output to AI-enabled software development, which makes it faster for the company to test and ship new ideas. “Earlier this year, we shipped Instagram Instants. We also just launched Forum, a stand-alone Groups app, and Seller, a stand-alone Marketplace app. I expect it to become a lot easier to ship new apps,” he told analysts on July’s earnings call. “So we are planning to build out more ideas and use our recommendation systems to scale them.” In addition toInstants,Forum, and the Seller app, Meta has shipped an experiment involving AI bedtime stories, and this week, aMeta AI app for Mac. With the launch of Pocket, Meta isshutting downthe original app acquired from Atma Sciences. It's bittersweet to shut down Gizmo, a labor of love by so many people for the last couple years, but I'm excited for Pocket and what's next.Starting a company is something I wanted to do for a long time, and it was way more fun than I imagined. I owe everything to my…https://t.co/5KwjsgyAtb

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Ramp launches its own AI model router, called Router

Corporate expense management platform Ramp is hot on the heels ofStripe in setting up toll houses for AI inference. Ramp on Wednesday evening launched its own AI model routing service, dubbedRouter, that lets users and companies use and switch between various large language models through an API. The company says it has been using the router it built for its own AI usage needs over the past three years. The service is only available in the United States for now. It’s free to use for the remainder of 2026 (users will still have to pay for AI model inference costs), and it comes with a $26 credit launch offer. The company did not say how much the service will cost next year. Router functions similarly to OpenRouter, though the latter offers many more AI model options than Ramp’s current offerings. Router offers access to models from OpenAI, Anthropic, DeepSeek, Moonshot, Minimax, Nvidia, xAI, and Z.ai. It also provides several “strategies” to help its customers route AI requests to models based on their preferences. For example, one lets users set a preference for model providers’ flex usage tiers, while another lets Router choose which model to route queries to based on up to three user-specified benchmarks. Users can also choose to route only difficult problems to expensive models or test models easily without having to switch. Users get a dashboard, too, that lets them see token spend, cost, latency, fallback attempts, and other details. Notably, Router has an opt-out data retention policy: It will record model inputs, outputs, and tool calls for one year by default, though the company says it will remove “personally identifiable information before using that content to improve the product.” For Ramp, entering the model routing business offers a two-pronged opportunity: It gets to tap the booming AI inference marketandoffer its existing clients a model routing service that fits in neatly with its existing products, which includes AI token usage monitoring and token spend management. And, if Router proves as attractive of a model testing arena as OpenRouter has, Ramp may also be able to build long-standing relationships with AI labs and inference providers worldwide. That could help Ramp, whichraised$750 million at a $44 billion valuation in June, gain new customers and a new point of entry for selling its expense management products.

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A third of web pages published since ChatGPT’s launch show signs of AI authorship, study finds

Over one-third of web pages published after the release of ChatGPT show signs of being written by AI, according toa new study from Pew Researchreleased on Thursday. The report corroboratesother studiesthat detail how much of the web’s newer web pages are now either written by or “substantially edited” by AI, the firm says. It also arrives shortly after internet infrastructure provider Cloudflarereportedthat bot web traffic had overtaken human web traffic — a milestone that was reached sooner than the company had estimated. Pew’s data, however, is focused not on who or what is browsing the web, but on what is being browsed. And apparently, much of it is bots reading web pages written by other bots. To compile the report, Pew said it used theCommon Crawlweb archive to collect nearly half a million English-language web pages from the past five or so years, starting a couple of years before ChatGPT’s November 2022 release. Pew then usedOpen Pangram’stechnology to detect how many were likely written or heavily edited by AI. In a random sample of 10,000 web pages collected in July 2026, around 10% showed “significant signs of AI authorship,” Pew said. However, Pew pointed out that a random sample like this would inevitably include older web pages — ones published before AI writing tools even existed, and therefore couldn’t have been AI written. To get a better sense of how much of the web is now being written by AI, Pew filtered out the older web pages and focused only on those published after the release of ChatGPT. In this same snapshot with the older pages removed, signs of AI authorship were found in over one-third (35%) of the pages. Drilling down into domains themselves, Pew found that URLs with a .com domain showed signs of AI authorship at around 10x the rate of a .edu or .gov domain (both of which were around 1% AI authored). In addition, .org domains had only a 4.6% rate of AI authorship. Of course, this analysis is not perfect. Pangram, like other AI-detection tools, can misclassify pages as AI written when they weren’t. But at scale, the data is likely at least directionally correct. In addition, Pew found that other supposed tells of AI authorship had also increased over the years, like the use of em dashes, Oxford commas, and phrasing like “it’s not X, it’s Y,” among other things.

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