Our position on open-weights models
Anthropic CEO Dario Amodei on open-weights models
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 1,015 posts.
Anthropic CEO Dario Amodei on open-weights models
GPT-4 Turbo with 128K context and lower prices, the new Assistants API, GPT-4 Turbo with Vision, DALL·E 3 API, and more.
They're like riding a bike: easy, and you don't get it until you try.
Introducing GPT-5.4, OpenAI’s most most capable and efficient frontier model for professional work, with state-of-the-art coding, computer use, tool search, and 1M-token context.
Everyone is worried about Chinese models, but the frontier labs will be fine; we need to enable open U.S. alternatives.
The fix was in, and Dario never had a chance.
A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past …
Gemini 2.5 is our most intelligent AI model, now with thinking.
Code Llama, which is built on top of Llama 2, is free for research and commercial use.
An essay about bad AI app design
The open release of the Stable Diffusion image generation model back in August 2022 was a key moment. I wrote how Stable Diffusion is a really big deal at the …
Context: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into acceptin…
GPT-3.5 Turbo, DALL·E and Whisper APIs are also generally available, and we are releasing a deprecation plan for older models of the Completions API, which will retire at the beginning of 2024.
How does it feel to be turned into an AI image model? To find out, I opened a door to the multiverse and interviewed the creator and unwilling subject of a controversial DreamBooth model.
This post will give some example comparisons running Llama 2 uncensored model versus its censored model.
A publicly accessible database belonging to DeepSeek allowed full control over database operations, including the ability to access internal data. The exposure includes over a million lines of log streams with highly sensitive information.
Apple gave me access to this Mac Studio cluster to test RDMA over Thunderbolt, a new feature in macOS 26.2. The easiest way to test it is with Exo 1.0, an open source private AI clustering tool. RDMA lets the Macs all act like they have one giant pool of RAM, which speeds up things like massive AI models. The stack of…
Most of us last saw calculus in school, but derivatives are a critical part of machine learning, particularly deep neural networks, which are trained by optimizing a loss function. This article is an attempt to explain all the matrix calculus you need in order to understand the training of deep neural networks. We…
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Anthropic has completed a $13 billion Series F led by ICONIQ, co-led by Fidelity and Lightspeed, valuing the company at $183 billion post-money.
There is a long and sordid history of people coming out of the woodwork with bogus claims when huge amounts of money are on the line. This has just happened to Cruise, which is run by my friend...
Posted by Brendan McMahan and Daniel Ramage, Research ScientistsStandard machine learning approaches require centralizing the training data on one ...
With customers ask whether they can use Microsoft’s Copilot services without worrying about copyright claims, we are providing a straightforward answer: yes, you can, and if you are challenged on copyright grounds, we will assume responsibility for the potential legal risks involved.
I found some details about Apple’s new predictive text model, coming soon in iOS 17 and macOS Sonoma.