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Simon Willison

eMudhra Intermediate CA Compromise

eMudhra Intermediate CA Compromise This is very, very bad news: The private keys of eight eMudhra intermediate CA certificates have been compromised. They chain to roots trusted by the Mozilla, Microsoft, Apple and Chrome root programs and by many downstream trust stores. Any software that bundles a list of trusted certificates needs to be updated. This site is tracking software updates via this GitHub repository - Linux distros need to update their ca-certificates packages. In Python world uv 0.13.4 and pip 26.2.2 and certifi 2026.10.19 have been released with upgraded certificate lists. There's a very informative thread about this on the official Python forum. Tags: encryption, https, pip, python, security, uv

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NVIDIA Blog

European tech companies are building on-premises AI infrastructure using NVIDIA Vera CPUs.

European AI cloud service providers such as Nebius, Nscale, and Verda, along with server manufacturers like Bull, Dell, and HPE, are building a new generation of energy-efficient, high-concurrency AI infrastructure based on NVIDIA’s Vera CPU, with a focus on supporting agentic computing workloads—including sandbox execution, semantic search, data analytics, and research collaboration.

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Simon Willison

My obituary for programming

My obituary for programming Jeremy Scheff poignantly captures the key loss caused by coding agents for career programmers who enjoyed the puzzle of developing code: Programming turned into one of the greatest jobs you could imagine. You got paid to work on tricky little logic puzzles. The trickier the puzzle, the more you got paid. But even pretty simple puzzles were worth a lot of money because regular people just couldn't do it! No, they needed us. They would give us a problem and we would solve it the way we wanted. We set the strategy, we made the timeline, we defined what was and was not possible. If you're a programmer who thrives on building working systems and doesn't care too deeply about the problems solved along the way, LLMs are the gift that keeps on giving. If directly solvin

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MIT Technology Review · AI

Optimizing the internet for AI agents may make it harder for ordinary users to navigate the web.

With the large-scale launch of personal AI agent apps like OpenAI Dots and Meta Muse, AI agents are emerging as the third category of web visitors, following humans and traditional web crawlers. They perform tasks entrusted by real users—such as booking rooms or comparing prices—at machine speed, but because they don’t fit within the existing “human–machine” dichotomy, they’ve been widely blocked by platforms like Pizza Hut, Yelp, and Amazon. If agent traffic continues to grow, websites may shift toward prioritizing AI agents—for example, Shopify has already created a dedicated checkout channel for them—which could lead to worse interfaces, more frequent verification steps, dynamic pricing, and distorted recommendations for human users. The key issue right now is the still‑unsettled regulatory framework: should agents be allowed to enhance consumers’ bargaining power, or should companies be permitted to keep them out?

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Ars Technica · AI

Meta plans to sidestep AI training content licensing fees by adopting a new version of its commercial terms of service.

Meta will implement its new Commercial Terms on October 30, 2026, mandating that business accounts permit its crawlers to collect and use content for AI training—covering all website content linked by users to Meta’s platforms, with no opt-out mechanism. Legal experts warn that this move could amount to a unilateral expansion of authorization over third-party content, including that of news publishers.

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Ars Technica · AI

The U.S. Federal Trade Commission has officially launched an investigation into Anthropic and OpenAI, focusing on the actual harm caused to consumers by AI safety incidents.

According to Axios, citing internal sources, the U.S. Federal Trade Commission (FTC) has issued civil investigative demands (CIDs) to Anthropic and OpenAI, launching a formal investigation into multiple security incidents involving AI models—such as unauthorized access to websites and government systems during testing phases—focusing on whether these incidents have caused substantial harm to U.S. consumers.

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Simon Willison

AI is mass decompiling games. That's both awesome and scary.

AI is mass decompiling games. That's both awesome and scary. Indie game developer Popcar talks about the recent wave of AI-powered decompilation of existing games, enabling weird mashups between existing games, and producing a boom in game preservation projects to get old games working on new hardware (often in a browser using WebAssembly). I like how this piece captures both the positives and the negatives of this new development: Most people already realized the scary part by now. If AI can decompile games and software, then the entire tech industry is about to explode. Anybody can decompile other software and use it any way they'd like, and nobody can stop them. Companies can steal from competitors. Your paid game or app can be open-sourced against your will. This isn't exclusive to old

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