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Anthropic just unveiled something that changes the conversation about what AI can actually do.

Claude Mythos is the company's unreleased model — ten trillion parameters, an estimated ten billion dollars in training costs, and performance that makes everything else on the market look like a rough draft. On SWE-bench Verified, the hardest coding benchmark in the industry, it scored 93.9%. On SWE-bench Pro, 77.8%. Nothing else comes close.

But the benchmarks aren't the story. What Mythos did in the real world is.

In a matter of weeks, it found a security vulnerability in OpenBSD that had been hiding for 27 years — one that every human engineer and every automated check had missed. It caught a 16-year-old flaw in FFmpeg that survived five million automated test runs. It chained together multiple Linux kernel exploits autonomously, with no human steering. It did this overnight.

The model is so capable at finding vulnerabilities that Anthropic made an unusual decision: don't release it. Instead, the company launched Project Glasswing committing $100 million in compute credits to let a select group of partners use Mythos to hunt flaws in their own systems before attackers can. Only twelve organizations currently have access: Amazon, AWS, Google, Microsoft, Apple, NVIDIA, Cisco, CrowdStrike, Palo Alto Networks, JPMorgan Chase, The Linux Foundation, and Broadcom.

As Boris Cherny, creator of Claude Code, put it: Mythos "should feel terrifying," and he's proud Anthropic chose to preview it responsibly with cyber defenders rather than releasing it into the wild.

This isn't a typical AI model release, rather a controlled deployment of a system too dangerous to hand out freely — and possibly the strongest signal yet that the gap between AI and human-level capability is closing faster than anyone expected.

Watch Anthropic’s video about Project Glasswing and Mythos here.

OpenAI platform Prism just added Paper Review, a workflow that goes beyond grammar checks to evaluate math, derivations, units, notation, and structural consistency. It flags unsupported claims and discrepancies across figures, tables, and appendices, generating editable LaTeX reviews right in the project workspace so authors can revise as they go.

Codex also hit a milestone, three million weekly users, prompting OpenAI to reset usage caps. However, Sam Altman and OpenAI are grappling with fallout from a New Yorker exposé. In response, OpenAI launched a short-term $3,850/week AI Safety Fellowship and a 12-page “Industrial Policy for the Intelligence Age,” proposing robot taxes, public wealth funds, four-day workweeks, universal AI access, and automatic safety nets for AI-driven job shifts. Critics say these moves mostly signal intent without solving regulatory or safety gaps. Read more.

Google launched AI Edge Eloquent, an offline-first iOS dictation app using local Gemma models, with Android and macOS versions planned. Gemma 4 now handles offline agentic tasks like logging and trend analysis, with optional API calls.

Gemini adds crisis detection with one-touch hotline access as Google.org commits $30M to global mental health and partners with ReflexAI. Meanwhile, AI Overviews hit 91% accuracy with Gemini 3, but 56% of correct answers lack verifiable sources. DeepMind flags six AI agent traps targeting perception, memory, multi-agent coordination and human-in-the-loop. Read more.

Intel is joining Tesla, SpaceX, and xAI on Terafab, a $20–25 billion chip complex at Giga Texas designed to crank out 1 terawatt of compute annually for FSD, Optimus robots, SpaceX satellites, and xAI data centers. 𝕏 rolled out global pay-per-use API, XMCP Server with xurl, official Python and TypeScript XDKs, plus a free API Playground for realistic simulations.

Tesla FSD v14.3 now features a complete neural network overhaul and a rewritten AI compiler, improving reaction times by 20% and refining AI vision encoding for complex driving scenarios. Meanwhile, Musk has also amended his OpenAI lawsuit, requesting $150 billion in damages to be paid to OpenAI’s non-profit wing and to remove Sam Altman from its board. Read more.

Tiny Aya is a lightweight, open multilingual AI model supporting 70+ languages, optimized for local use on phones and classrooms.

OpenBox is a trust platform for AI agents with governance, verification, and compliance, integrating via one SDK across major frameworks.

AgentPulse is a visual dashboard for OpenClaw to monitor agents, manage tasks, track spend, and control workflows without terminal use.

OpenOwl is a local desktop AI agent that sees your screen and automates clicks, typing, and workflows across any app.

Ollama v0.19 boosts local AI speed on Apple Silicon with MLX, improving performance, caching, and responsiveness for coding workflows.

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