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.
https://t.co/XzDntVH0vH
Lean 4.35.0 is out: 214 changes. vcgen is a faster and more general successor of mvcgen. lake check and lake comparator check a project with Lean's kernel and, if requested, several independent kernels. https://t.co/IQEfi70GBo
The moment you've been waiting 4…
Our new frontier model, Gemini 4 Argon, is rolling out now in the Gemini app to bring your most complex ideas into reality.
See how Gemini 4 Argon and our latest updates across the Gemini app help you get the most out of every prompt. 🧵
Introducing Microsoft-Decision-1
Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models.
https://t.co/jjtqKq34kV
Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released.
On average, it costs around 75% less to run than Claude Haiku 4.5.
Introducing Gemini 4 Argon, our new frontier model, rolling out to cyber defenders starting today, and more widely as soon as possible. I am really excited by the progress we have made here. Argon is priced at $2 in and $10 out during introductory pricing!
Great to meet today with @POTUS, @JDVance, @SpeakerJohnson and Administration + tech leaders. Important conversation and we signed today the White House Accord on Super Intelligence.
As I shared today, Google has invested hundreds of billions in the last two years alone, with more to come, across the entire stack, to deliver benefits for America and the world. We’re working to build products that deliver real value for people and businesses, invest in local communities, and build trust in the technology.
Industry also has to innovate responsibly. Google’s focused on building the right way, with appropriate testing, evaluations, red-teaming, and other safeguards against misuse and misalignment – and releasing models or products only after they’ve been thoroughly reviewed.
We are committed to working with other industry leaders to establish norms and build public confidence. The White House Accord and the Joint Commitment on Frontier Responsibilities signed today is a solid basis for moving forward - it contains real tangible steps to promote safe development, while delivering the economic and scientific benefits of this technology.
Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe.
GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale.
We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.
Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.
It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
How?!!
Xiaomi has just released their new OPEN SOURCE model MiMo-V2.6-Pro:
- multimodal text/image/audio/video
- score ~ same as GPT-5.6-Sol Max
- 9x cheaper input tokens
- 23x cheaper output tokens 💀
Also about 20x cheaper than Opus 5... and the weights are already on Hugging Face.
Hard to see how closed labs will keep up.
@haider1 Think of it like solving a maze. You can start from the beginning or from the end (the AI solution.) Then you can work in both directions until they meet bringing insight to the problem. Having a/the solution earlier should only help in the long run at solving the puzzle.
@PrismML Anyone able to get it running in LM Studio? It seems it requires a forked version of llama.cpp I'm not sure how to use a modified one if it's even possible.