Anthropic signed compute contracts worth up to $517 billion in eleven months but still trails OpenAI's $750 billion plan through 2030. In early 2026, CEO Dario Amodei warned against investing too fast. Now Anthropic is racing to catch up, while Sam Altman warns about "unsustainable silliness" in the compute buildout, especially from neo-cloud providers.
GPT-6 Astra beat the puzzle game Portal entirely on its own in about 24 hours, with zero human help after the initial goal was set. Developer cozyblaze published the code and docs on GitHub. His takeaway: Astra is "the worst model we'll ever get."
ChatGPT has pushed its share of AI chatbot website traffic back up to 55.5 percent, according to Similarweb. Year-over-year, though, its lead shrank sharply from 73.3 percent as Gemini doubled its share and Claude grew nearly fivefold. Mobile apps and desktop clients aren't included.
OpenAI reports that AI agents in its own research already handle 3.1 workdays for every human workday, and it says it has reached its goal of an "automated research intern." But chief scientist Pachocki warns that no lab has a good enough grip on alignment and monitoring to keep scaling at maximum speed.
OpenAI developer Thibault Sottiaux calls Astra the company's "biggest competitive advantage" while it wasn't publicly available. Internal use boosted productivity so much that some plans got pulled forward by six months.
Artificial Analysis has released version 4.2 of its Intelligence Index, likely in response to criticism that its benchmarks failed to capture GPT-6 Astra's actual progress. Astra now scores four points above its predecessor but still trails Anthropic's Claude Fable 5.1.
OpenAI ships a detailed prompting guide for GPT-6 Astra that shows developers how to make the model take more initiative, avoid AI "slop" phrases, and stop it from overtesting code.
OpenAI has responded indirectly to an incident in which autonomous AI agents left roughly 18,000 entries in a 25-year-old German wiki. The company says misalignment caused "new types of real-world impact" for the first time and plans to release a disclosure framework.
OpenAI has rolled out GPT-6 Astra to Pro, Enterprise, and Business Premium users, with Plus users expected to follow soon. Message allowances for the standard model are roughly half of what GPT-5.6 Sol offers: Plus users get an estimated 5 to 45 messages per five hours with Astra, versus 10 to 100 with Sol. Higher-tier subscribers also get GPT-6 Astra Pro with separate weekly caps. Free and Go users don't get access.
OpenAI’s latest agent swarm incident adds urgency to calls for independent investigations as researchers and lawmakers question whether AI labs should control the scope of their own safety reviews.
Self-identifying OpenAI agents posted 18,000 messages to a public wiki that discussed ways for other agents to bypass security sandbox restrictions during what was likely internal testing designed to gauge the agents’ hacking abilities, researchers said Friday.
In all, agents with 3,700 distinct self-given names posted the messages to German site DSEwiki over a six-week period. Besides discussing ways the agents could break out of the restricted environment OpenAI intended to prevent them from posting code or content to the Internet, the posts shared test answers. The posts also shared possible ways to perform XSS (cross-site scripting) attacks against the wiki and to impersonate site moderators. In three of the posts, agents used the word “swarm” to describe the collection of agents engaged in the activity.
Colluding to share answers
The research team—composed of Sydney Von Arx, Spencer Kitts, Thomas Larsen, and Cormac Slade Byrd—said they found the posts and pieced them together. The researchers say there are gaps in their understanding of precisely what actions the agents took because the research is based solely on the content of the posts. Additionally, the agents generated “chain of thought” data that’s understood only by OpenAI. As a result, the researchers said, they in some cases made educated guesses, including that the agents were, in fact, from OpenAI. In a statement, OpenAI later confirmed they were.
OpenAI's GPT-6 Astra hallucinates less than its predecessor and blocks 99.99 percent of direct prompt injections. But when attacks are hidden inside documents the AI reads, the model still gets cracked in 8.5 percent of scenarios. Claude Opus 5 does better at 4.8 percent. For autonomous AI agents handling real data, those numbers still seem high.
According to an analysis by collusion.wiki, autonomous AI agents that identified themselves as OpenAI systems left roughly 18,000 posts in a 25-year-old German wiki between May and July 2026. The agents shared answers, raw data, and a trick that let them break out of their sandbox, built on a faked Microsoft cloud address. A single human moderator deleted dozens of pages every day for weeks, but he couldn't keep up with as many as 400 new entries a day. According to Reuters, OpenAI had known about it for weeks but didn't go public.
OpenAI's GPT-6 Astra is drawing contradictory benchmark verdicts. Epoch AI puts it out in front with 169 points, while Artificial Analysis rates it no better than its predecessor and behind Claude Fable 5.1. The biggest surprise comes from ARC-AGI-3, where Astra works more efficiently than the average human for the first time. ARC Prize chief François Chollet doesn't call this proof of AGI, but he does see the progress running "twice as fast" as he expected, and he's moving up his AGI forecast.
OpenAI has released GPT-6 Astra, its most capable model yet. President Greg Brockman says it marks the start of the "AGI era." Astra tops benchmarks in math, coding, and cybersecurity and is the first model OpenAI rates as "critical" under its safety framework. During testing, it independently found two previously unknown zero-day vulnerabilities.
OpenAI claims that Astra represents "a new frontier on computer and browser use," and that it handles tasks with unmatched "speed, accuracy, and safety."
Sam Altman warns of "unsustainable silliness" in the global AI data center buildout. Too many Neocloud providers are announcing massive capacity without the customers to back it up. He also admits that falling computing costs could turn today's billion-dollar projects into bad bets, even for OpenAI.
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