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Claude

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Simon Willison LLMs / 6:18 PM

Quoting Matthew Green

Right now we’re in the midst of a historic transition from traditional public-key algorithms based on EC-based cryptography and RSA, moving over to new post-quantum algorithms based on novel problems. This is why there are so many standards like HAWK being considered. If there was ever a perfect time for a massive new public cryptanalysis capability to come on line, we’re in it. So unless AIs succeed in undermining all of our hard problems altogether (or we live in Impagliazzo’s Minicrypt ) then this could not be a better time for AI to get good at cryptanalysis. In the best case, the result is that we gain real confidence in the problems we’ve identified, and the cryptanalysis literature gets a lot more robust. Hopefully. — Matthew Green , on Anthropic's recent cryptography work Tags: cryptography , ai , generative-ai , llms , anthropic , claude , ai-security-research , claude-mythos-fable

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The Decoder / 11:50 AM

OpenAI open-sources Codex Security CLI to help developers find and fix vulnerabilities from the command line

OpenAI has released Codex Security CLI, an open-source tool that automatically detects and fixes vulnerabilities in code repositories. Previously known internally as "Aardvark," the system has already helped fix more than 3,000 critical security flaws, according to OpenAI. It competes directly with Anthropic's Claude Security, as both AI companies race to match the growing automation of cyberattacks with AI-powered defense. The article OpenAI open-sources Codex Security CLI to help developers find and fix vulnerabilities from the command line appeared first on The Decoder .

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The Decoder / 7:12 PM

Anthropic says its Mythos model found vulnerabilities in cryptographic algorithms that secure the internet

Anthropic's Claude Mythos Preview found weaknesses in key cryptographic algorithms, including a better attack on HAWK, a post-quantum signature scheme that human experts had reviewed for more than two years. The model found it in just 60 hours at an API cost of about $100,000. The findings don't affect systems in use today, but they show how AI could challenge core assumptions behind internet security, Anthropic says. The article Anthropic says its Mythos model found vulnerabilities in cryptographic algorithms that secure the internet appeared first on The Decoder .

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The Verge AI / 5:00 PM

Meta is making its AI chatbot more like an assistant

Meta is upgrading its AI chatbot with new productivity features in a bid to compete with rivals like Gemini, ChatGPT, and Claude. The update will allow Meta AI to tap into your calendar to help you plan events and generate daily briefings, as well as perform in-depth research that you can steer as it progresses. […]

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The Decoder / 12:06 PM

Anthropic CEO Amodei doubles down on open-weight risk stance while insisting he never called for a ban

Anthropic CEO Dario Amodei is once again warning about the risks of open AI models while insisting he has never called for a ban. He argues that authoritarian states like China could overtake the US and that open models could be misused for biological or cyberattacks. Critics say he's mostly trying to protect his own business from cheaper competition. The article Anthropic CEO Amodei doubles down on open-weight risk stance while insisting he never called for a ban appeared first on The Decoder .

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Simon Willison LLMs / 9:55 PM

An opinionated guide to which AI to use to do stuff

An opinionated guide to which AI to use to do stuff It's interesting watching the evolution of Ethan Mollick's guide over time. A year ago it was still all about chat - ChatGPT, Claude, Gemini - with o3, Claude 4 Opus, and Gemini 2.5 Pro as the models and Deep Research as a useful alternative mode. Today it's much more about agentic systems - "where the AI is capable of doing the equivalent of many hours of real human work in one go". Gemini has fallen off Ethan's list, since Google still doesn’t have an established entry in the Codex/ChatGPT Work/Cowork category. Gemini Spark has yet to prove itself! Ethan offers a useful explanation of the ways you can give ChatGPT or Claude a computer to use: To use the computers provided by the AI companies, the mode you want is called ChatGPT Work in ChatGPT, and Cowork in Claude (the naming will not get less confusing, I am sorry to say). [...] The most powerful way to use AI is to give it access to your computer. You do that by downloading the ChatGPT or Claude apps and picking a mode to use. ChatGPT's two agent modes are Work and Codex; Claude's are Cowork and Code. The names do not map onto each other in any way that will help you remember them. And yes, these use the same names as the Work and Cowork modes we discussed above, but operate differently, and have more features and capabilities because they can access your computer. I think the difference between ChatGPT Work on a mobile device and ChatGPT Work inside the desktop app (where it's effectively a less intimidating skin on top of Codex) is spectacularly unintuitive. Short version: if you flip ChatGPT mobile from "Chat" to "Work" mode you get a version where its Code Interpreter container is no longer restricted from accessing the internet! Tags: ai , generative-ai , llms , ethan-mollick , code-interpreter , general-agents

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