Who up clauding they codes rn

Claude Code with Opus 4.7 is going insane with whatever system prompt is asking it to check for malware...

I, too, am selling all of my shoes and converting my basement and closets into a GPU farm and accepting investor money right now. (lmk if you want a stake)

New paper: LLMs encode harmful content generation in a distinct, unified mechanism Using weight pruning, we find that harmful generation depends on a tiny subset of the weights that are shared across harm types and separate from benign capabilities. 🧵

Tech industry mottos have a mixed track record. But we should hold idealists to their ideals. And we should celebrate when they come through. The Mythos non-release is a remarkable moment of conviction. Thoughts: davidbau.com/archives/20... Bravo to Anthropic's "race the top".

Sometimes, I look at the agentic AI work out there, and I think about how airbags and now things like blind spot detection and automatic emergency braking in cars doesn't require decision making of any "intelligence" level beyond if this then that. Agentic AI needs airbags, too.

Go alone, go fast. Go together, go far averyyen.dev/2026/04/01/i...

This might be the most important piece on AI I've read this year. Also I'm a musician so I'm biased.

I was wrong, but I'm really curious now why I was so wrong lol mimo.xiaomi.com/mimo-v2-pro

I'm calling it DeepSeek's new 1T parameter model (V4)? The style, content, and length of the reasoning are extremely similar.

We're at a weird point in time where, with all likelihood, most of the people who are having the most successful time coding with bots wrote most of the code that's already in existence by hand, but that's going to change.

EU making moves!

In case this wasn't clear: 1. No, we didn't follow the "recommend" security practices 😈 2. Neither do other people 🤯 3. That's why we red-team: exposing failure modes 🔎 4. We share it with the community precisely to expose Dos and Don'ts of Agentic AI 🦞 5. No humans were harmed 🙏

Good coverage by the Awesome Agents team! 🔎 They read through the social media hype and actually seemed to get the takeaways in the report. 🦞

2025 was the comeup, but I firmly believe 2026 is the Year of Agentic AI.

Our research report on red-teaming stateful OpenClaw agents in the BauLab is finally out! 🥳 This awesome effort was led by @natalieshapira.bsky.social and involved 6 ClawBots and 20 researchers from various institutions. Check it out ➡️ agentsofchaos.baulab.info

Huge thanks to @natalieshapira.bsky.social for leading the study! It was super cool to work with so many amazing friends of the lab.

In the discussion, I argue that until prompt injection attacks are solved in AI agents, we are fundamentally unable to stop most of the red-teaming attacks we successfully mounted. Without solving this problem, it will be impossible for agents to model their stakeholder chain.

Do you know what happens when you hand the keys to your computer over to an LLM-powered agent? Agentic AI gives LLMs claws...OpenClaws. 84 days to 200,000 stars on GitHub. We tried it out.

New frontier models now have hidden thinking. You can catch these right now by finding real live bugs on various fronts. On the left, we have Gemini 3 Pro responding on the chat where it messed up formatting a "think silently", on the right is Opus 4.6's "redacted_thinking".

The Art of Wanting. About the question I see as central in AI ethics, interpretability, and safety. Can an AI take responsibility? I do not think so, but *not* because it's not smart enough. davidbau.com/archives/20...

🔥I am super excited for the official release of an open-source library we've been working on for about a year! 🪄interpreto is an interpretability toolbox for HF language models🤗. In both generation and classification! Why do you need it, and for what? 1/8 (links at the end)

Happy Holidays from NDIF! Our new NNsight version improves performance and enhances vLLM integration, including support for tensor parallelism.

Humans and LLMs think fast and slow. Do SAEs recover slow concepts in LLMs? Not really. Our Temporal Feature Analyzer discovers contextual features in LLMs, that detect event boundaries, parse complex grammar, and represent ICL patterns.

How can a language model find the veggies in a menu? New pre-print where we investigate the internal mechanisms of LLMs when filtering on a list of options. Spoiler: turns out LLMs use strategies surprisingly similar to functional programming (think "filter" from python)! 🧵

Glad that President Beilock has chosen not to get involved in this compact nonsense. president.dartmouth.edu/news/2025/10...

Help me thank the NDIF team for rolling out workbench.ndif.us/ by using it to make your own discoveries inside LLM internals. We should all be looking inside our LLMs. Share the tool! Share what you find! And send the team feedback - bsky.app/profile/ndi...

On the Good Fight podcast w substack.com/@yaschamounk I give a quick but careful primer on how modern AI works. I also chat about our responsibility as machine learning scientists, and what we need to fix to get AI right. Take a listen and reshare - www.persuasion.community/p/david-bau

New YouTube video posted! @wendlerc.bsky.social presents his work using SAEs for diffusion text-to-image models. The authors find interpretable SAE features and demonstrate how these features can alter generated images. Watch here: youtu.be/43NnaqGjArA

What's the right unit of analysis for understanding LLM internals? We explore in our mech interp survey (a major update from our 2024 ms). We’ve added more recent work and more immediately actionable directions for future work. Now published in Computational Linguistics!

Who is going to be at #COLM2025? I want to draw your attention to a COLM paper by my student @sfeucht.bsky.social that has totally changed the way I think and teach about LLM representations. The work is worth knowing. And you can meet Sheridan at COLM, Oct 7! bsky.app/profile/sfe...

Coming soon!!

Announcing a broad expansion of the National Deep Inference Fabric. This could be relevant to your research...