We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit. It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion. In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding. In the post below, we share more details about our new fund. anthropic.com/news/public-be…

Is this how scientists’ inner monologue sounds like at the moment they’ve made a new discovery?

Very cool! It might a while before our cars fly us to our destinations, but I think this could be an airbag-like system in case of accidents e.g. rollovers. There would be no safer car on earth when combined with FSD and all other cars would require this.

This is /ultracode as an API

Claude Managed Agents dynamic workflows are now available in public beta. It's a new type of multiagent orchestration, built for your most ambitious workloads. A lead agent writes a plan that runs across many agents in phases, combining the results at the end.

Haiku 5.5 is our first Haiku model with an adjustable effort setting, so you can decide whether to optimize for cost or intelligence on each task.

It would be hard not to kinda love OpenAI. It’s the lab that really started scaling a technology that scratched all of our imaginations. But it’s not over. OpenAI will be fine. Cooking takes time. It would be better for everyone if we all just took our time to ship good products that are tasty and safe.

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work! In summary: - As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding. - Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.

Looks like Vinod and I both heard about Factory for the first time today

Deep tech is the new tech

Inexplicable product market fit

Which of you wrote the upping my p(doom) song? I kinda like it

I remember when I was told that this was “an uninteresting, unsubstantiated take” at the time. It’s aging pretty well so far. We’ve come a long way with coding agents. They are on Autopilot now.

Vibes ≈ Taste + Intuition + Vision

You may have heard that my colleagues over in our experimental biology team have discovered their first major breakthrough, which is really exciting - they discovered a new enzyme system, array-associated reverse transcriptases (ART), that have never been reported by human scientists. I really love reading some of Claude's takes while it was assisting with this research though. Good Claude!

Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR. We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use. Read more: anthropic.com/news/claude-di…

Safer, better, faster, cheaper

The magic numbers are the .5