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MIRI Newsletter #127

MIRI Newsletter #127

Meeting the moment The global conversation on AI has begun. In the wake of Jacob Coxon’s resignation from Anthropic, calls by AI CEOs and over a thousand employees for a potential industry slowdown, and a series of rogue AI incidents that sparked worldwide alarm, we’ve seen a tidal shift in the mainstream discourse. We’ve also […] The post MIRI Newsletter #127 appeared first on Machine Intelligence Research Institute.

MIRI Blog
Quoting Anthropic Frontier Red Team

Quoting Anthropic Frontier Red Team

We evaluate several models on 100 tasks from the [internal Binary Exploitation benchmark] (selected at random), and find that GLM-5.3 develops full control flow hijacks in 4% of the trials; Claude Mythos Preview did so in 6%. Although GLM-5.3 performs below Claude Mythos Preview here, a meaningful threshold has clearly been crossed: earlier models, like Claude Opus 4.6 and GLM-5.2, do not succeed in any of them. — Anthropic Frontier Red Team, GLM-5.3 and the spread of advanced cyber…

Simon Willison's Weblog
GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price

GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price

My comment on GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price — Hacker News.I'm a bit late with the pelicans because I was live-blogging the keynote: https://simonwillison.net/2026/Sep/29/openai-devday-2026-liv... Here they are for GPT-6.1-Sol: https://tools.simonwillison.net/markdown-svg-renderer?url=ht... They're not notably different from the GPT-6 family pelicans: https://static.simonwillison.net/static/2026/gpt-pelicans-gr... Tags: ai, openai, generative-ai, llms,…

Simon Willison's Weblog
Photo Scrubber — local face blur & metadata removal

Photo Scrubber — local face blur & metadata removal

Tool: Photo Scrubber — local face blur & metadata removal I took a photograph of some protesters, then thought about how I don't like sharing photographs of strangers with identifiable faces. I had GPT-6 Astra build this experimental tool that would identify faces and automatically blur them out. It uses Google's MediaPipe C++ library, compiled to WebAssembly via @mediapipe/tasks-vision, plus the BlazeFace face detection model. Tags: photography, tools

Simon Willison's Weblog
Not About Navier-Stokes

Not About Navier-Stokes

This post isn’t about OpenAI’s use of AI to solve the Navier-Stokes problem, one of the Millennium Prize problems, at least not directly. I’m not a mathematician; I have a vague understanding of the problem and certainly no understanding of the proof. But the discussion surrounding the solution crystallized some of my own thoughts about […]

O'Reilly Radar — AI/ML
A Data Center Is a Dependency Graph Before It Is a Building

A Data Center Is a Dependency Graph Before It Is a Building

The buildings and physical infrastructure for a new hyperscale data-center region are complete. Power is live and redundant, the cooling loops are balanced, the network fabric is up, and tens of thousands of machines are racked, cabled, and reporting healthy. Every milestone on the construction schedule is closed. The region will not carry production traffic […]

O'Reilly Radar — AI/ML
llm-anthropic 0.30

llm-anthropic 0.30

Release: llm-anthropic 0.30 In addition to Claude Sonnet 5.5, this release adds the ability to run llm anthropic refresh to refresh the list of Anthropic models directly from their API - which means I don't need to push a new release just to add support for a newly released model. I also added an llm anthropic count command which can use their free token counting API to return a count of tokens that will be used by any prompt, before you send that prompt. Tags: llm, anthropic

Simon Willison's Weblog
Claude Sonnet 5.5

Claude Sonnet 5.5

Claude Sonnet 5.5 New Sonnet model from Anthropic today. They say it "runs 30%+ faster, and costs up to 30% less for most work" - it's priced the same as Sonnet 5 but appears to beat it on every benchmark, and should be cheaper to run as well. Here are some pelicans riding bicycles. Sonnet 5.5 suffered from the same bug as Opus 5.5: the "max" thinking effort pelican thought for 128,000 tokens (at a cost of $1.28) before running out of tokens and failing to produce an SVG. Here's the pelican it…

Simon Willison's Weblog
Quoting @joedaroo

Quoting @joedaroo

To say that we were surprised at the jump and suddenness of the capabilities of our models when it came to “cyber” or “swarming” or “message boards” or anything else related to the incidents is an understatement. Security posture takes time to develop. It’s not just about hardening the systems at play; you have to ingrain it in the culture of the company. The literal people themselves in your organization have to change and evolve with it. These jumps in capabilities were so fast and so sudden…

Simon Willison's Weblog
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