Meta Releases Muse Spark Open: Can Businesses Run Powerful AI Without the Cloud?
Meta and Apple have shown that massive AI models can run on desktop computers. But making that technology work for a business takes more than just buying the machines.
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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.
Crossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents
At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.
Crossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents
At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.
Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio
How Leash Bio tamed DELs, the assay that traumatizes everyone, and used the data to catch cheating models. And why that same data is perfect for AI agents learning to think like chemists.
Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio
How Leash Bio tamed DELs, the assay that traumatizes everyone, and used the data to catch cheating models. And why that same data is perfect for AI agents learning to think like chemists.
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
Anthropic Warns Self-Replicating AI Could Spread to Your Smart Fridge
Your smart refrigerator could one day do more than keep your food cold—it could unknowingly become part of a spreading AI-powered cyberattack.
GitHub’s model for secret detection: Finding more secrets with less noise
GitHub’s context-aware secret classifier improves detection quality, raises weighted acceptance by 11.5%, and reduces median scan execution time by 86%. The post GitHub’s model for secret detection: Finding more secrets with less noise appeared first on The GitHub Blog.
Quoting Geoffrey Huntley
If the agent isn't using my diagnostics library, I could introspect and update AGENTS.md, but there's still a delta, and it'll drift. Instead, I write a pre-commit hook that checks the git diff for direct calls to observability modules that bypass my diagnostics module. Boom: fail the commit, inject a prompt telling the agent to use the diagnostics library. All of a sudden it's ten out of ten. — Geoffrey Huntley, nobody should type code by hand anymore. here's what's left. Tags: coding-agents, generative-ai, git, agentic-engineering, ai, geoffrey-huntley, llms
datasette-ports 0.4
Release: datasette-ports 0.4 My plugin for detecting and listing all Datasette instances on the current machine now works with the latest version, and displays the detected PID as well. Knowing the PID makes it easier to attach the new Python 3.15 profiler. Tags: datasette
Dwarf Fortress uses version control now
I remember hearing a while ago that Dwarf Fortress didn't use version control. That fact has been lodged in my head, because given its inherent complexity I have trouble imagining a codebase that would benefit from version control more. That's art. I went looking and I'm sad to report that the days without version control appear to have ended. Quoting Tarn Adams over time: March 2013: "I don't use version control -- I didn't like the feeling of having the code get committed into a black box thingy with no immediate upside" March 2016: "I don’t even use version control. If you don’t know what that is then you’re not gonna yell at me. If you even know what version control is you’re gonna be like, ‘You don’t use version control? You don’t use source control? What is wrong with you? How can yo
Python 3.15.0 added to actions/python-versions
Python 3.15.0 added to actions/python-versions Bit of a niche link, but I've been waiting for this for a couple of days - I even told ChatGPT to check for it: Clone https://github.com/actions/python-versions and git pull once an hour until they add the stable 3.15 - then tell me about it Now that this has landed, you can add "3.15" to a GitHub Actions testing matrix to run tests against the new Python 3.15.0 release. Tags: github, python, github-actions, chatgpt
[Subscriber Exclusive] NYC Subscriber Meetups!
Tomorrow and Tuesday. If you see this you’re in!
[Subscriber Exclusive] NYC Subscriber Meetups!
Tomorrow and Tuesday. If you see this you’re in!
[AINews] TypeSafe/Jev at >$100M ARR, $7.5B valuation 3 weeks after launch
[AINews] TypeSafe/Jev at >$100M ARR, $7.5B valuation 3 weeks after launch
Secret protection must scale with software
Developers aren’t becoming more careless; they’re being outpaced. The tools that let developers create more software should also take on more of the work of protecting it. The post Secret protection must scale with software appeared first on The GitHub Blog.
Meta’s Muse Can Look Like Human Traffic. Can Websites Trust AI Agents?
An AI agent can shop, log into accounts and even complete security checks for a real customer—but what happens when the website has no idea it’s dealing with AI?
EmbeddingGemma 2: an open, lightweight multimodal embedding model
EmbeddingGemma 2: an open, lightweight multimodal embedding model
Import AI 475: Swarm scaling; Google DeepMind watermarks biology; and the AI science economy
Who chooses what AI gets to do?