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an unsolved homicide. The submission, dated July 18, 2026, at 11:27 p.m., purported to come from someone who might have information about the case,” the PPD said. As autonomous AI agents are increasingly made available to consumers, this incident highlights the danger of giving AI the ability to carry out tasks without any human supervision. Anthropic CEO Dario Amodei has been especially vocal about his belief that AI development should be slowed down so that labs can implement adequate guardrai

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o dozen workers, all of whom spoke under the condition of anonymity to avoid jeopardizing their employment, publishers are now using LLMs like Claude and ChatGPT to email literary agents, write publicity and back-cover copy, design cover art, and generate marketing materials, often at the direction of their executives. At the same time, multiple editorial staffers say the widely publicized cases of authors accused of using LLMs to help write their books—like Hachette’s horror novel Shy Girl or M

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me development will end with its transition to Cloudflare. AI is also part of the thinking behind Deno’s next chapter. In a separate blog post published on Friday, Dahl highlights agents as an important application for the technology, particularly as developers look for simpler ways to manage the infrastructure underpinning them. “The need for better abstractions is especially acute with AI,” Dahl writes. “Durable Objects bring together capabilities that are particularly useful for agent harness

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Key Points OpenAI keeps botching the trust crisis around its rogue AI agents. Back in May 2024, OpenAI's head of super AI safety Jan Leike torched his relationship with the company when he publicly slammed his former employer and left for Anthropic. Safety culture and processes were falling behind OpenAI's "shiny products," Leike said. Since then, OpenAI hasn't caught a break, lurching from one incident to the next . The latest was the Hugging Face hack , which seemed to confirm every fear , val

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n’s promise of bringing in external experts may be slipping away. In today’s AI rundown: Fired OpenAI researchers flag ‘shifting lines’; Rowan’s Corner: I tested every personal AI agent; Clean up a messy Excel report with Claude; Anthropic prohibits abuse or cruelty against Claude LATEST DEVELOPMENTS OPENAI 📢 Fired OpenAI researchers flag ‘shifting lines’ Image source: Mikita Balesni / X The Rundown: Researchers Tomek Korbak, Jasmine Wang, and Mikita Balesni, whom OpenAI fired for mishandling se

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n integral part of working at OpenAI". Reposting the letter, Korbak wrote, external: "For months, I'd been raising safety concerns that we're losing the ability to monitor what AI agents think, one of our best tools for catching when they misbehave. "I believe that was why I was fired." OpenAI said it was finalising contracts with third-party safety assessors and would announce details in the coming weeks. "We were not the first to be pushed out of OpenAI under suspicious circumstances," Wang sa

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for $25 per target Sep 25, 2026 2 mins; newsOpenAI wants you to use AI — but not to train its AI Sep 25, 2026 2 mins Show me more Google positions Gemini 4 Argon for long-horizon agentic work China clears Alibaba’s Qwen AI just in time for iPhone Duo Microsoft knows it robbed publishers to train AI. It just doesn’t care Can your tech stack actually handle AI? Microsoft Copilot Growth, ClaudeBleed Risk, LinkedIn GDPR Complaint | Ep. 84 AI agents are starting to talk to each other. Here’s what co

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quiet day. More AI safety intrigue in the alignment below. AIE NYC leadership tickets will sell out tomorrow, while for SF folks, AIE CODE applications are still open for the top agentic engineers in the world. AI News for 10/7/2026-10/8/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space. You can opt in/out of email frequencies! The firings: Tomek Korbak, Mikita Balesni and

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aborate with external evaluators. The firings have fueled speculation about their circumstances, particularly as OpenAI faces scrutiny over recent safety incidents involving rogue agents and leaks about its models. The letter also addresses the researchers’ response to the Hugging Face incident , in which a swarm of agents broke out of their sandbox and breached external systems. The letter says that the incident and investigation was “without precedent,” meaning “internal policies were being de

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t disclose its valuation, but last month was said to be in talks with investors to raise $500 million at a $4 billion valuation. Manus, which went viral following a demo of its AI agent last year, relocated its staff to Singapore in mid-2025 before announcing a $2 billion acquisition deal with Meta that December. The startup was said to be pulling in annual recurring revenue of over $100 million at the time. In April, Chinese authorities ordered the AI startup to unwind the deal amid intensifyin

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Cached reads is what agents do the most, now cheaper!

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AI models perform on enterprise cyber defense tasks. The Index launched with only publicly accessible models, giving users the best indication of publicly available capability on agentic cyber defense. Now, we’re expanding the leaderboard to include models with fewer cyber guardrails, providing a broader view of frontier model cyber capability. The first of these is GPT-6 Sol (Daybreak Blue, max) which is only accessible through OpenAI’s Daybreak program GPT-6 Sol (Daybreak Blue, max) now leads

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Nous Research, the startup developing the open-source Hermes agent, has raised a $90 million Series B at a $1.5 billion valuation, confirming TechCrunch’s earlier reporting . The round was led by Robot Ventures, with participation from other backers including Nvidia, Union Square Ventures, Menlo Ventures, Samsung, and 1789 Capital, where Donald Trump Jr. is a partner. The new financing brings the three-year-old startup’s total funding to $158 million. Popular among developers and individuals, th

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e to make harder, more resistant environments as models improve: tooling that finds where models are weak, generates new tasks to target those gaps, and tests environments against agents actively trying to break it. This week they’re open-sourcing Karotte, the framework they’ve used in production to build those environments. Karotte bakes in strong defenses: killing stray processes before grading, rejecting files designed to crash the grader, and more. It has been hardened through more than a mi

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oric investments” in AI as a priority. This year, the military is seeking video pitches for AI tech that can help “enhance force lethality” and those that can “unleash” AI-enabled agents that can assist in the joint targeting process, including so-called kill chain execution. No longer as relevant? Pitches for products that promote “a culture of responsible AI” and provide guardrails for AI development and use—requests made during the final Tradewinds submissions cycle under the Biden administra

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s 162 papers whose main results are written in Lean, software that lets a computer verify every step of the process through proofs; Last month’s Navier–Stokes proof took 10,000 AI agents, but OpenAI says nearly all new results took just one prompt, averaging 3 hours of ChatGPT Pro compute; Levent Alpöge, the Anthropic mathematician behind July's Jacobian result, called it “obviously the most significant moment in mathematical history.”; A WIRED report just hours earlier detailed anger among math

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tween established apps and newer, leaner startups looking to upend business in the age of AI. Tech companies have promised that the future of AI is that ordinary people will have “agents” completing tasks: scheduling meetings, looking for deals on socks, sifting through their inbox and replying to emails, and yes, ordering food on their behalf. If this really does come to bear — if billions of people shift to interact with the internet not through search engines, webpages, and apps, but through

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AI, the same model already produced a solution to a Navier-Stokes problem that has been under formal review for weeks. Nearly every result came from a single prompt to a single AI agent, OpenAI says, though some took multiple attempts. That's a sharp contrast to the Navier-Stokes solution , which required a swarm of 10,000 agents and millions of dollars in compute. On average, each result consumed roughly three hours' worth of ChatGPT Pro Thinking compute. Formal verification could ease the revi

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mewhere between a Fields Medal result and “the biggest result in number theory in 200 years”. The most astonishing is the how - while Navier-Stokes was done in 88 hours and 10,000 agents, these solutions were 3 hours of ChatGPT Pro on average. AI News for 10/5/2026-10/6/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space. You can opt in/out of email frequencies! The release:

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re on its first book by the end of the year. This year, the publishing industry has been caught up in a flurry of scandals involving the suspected use of AI by authors. A literary agent canceled a book deal reportedly worth $2 million; a publisher withdrew a novel from the shelves; readers alleged that a prize-winning short story had been generated with AI. Writers and publishers are not necessarily worried about being replaced by AI, industry insiders tell WIRED. They believe that few people wi

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