Protecting our FLOSS commons from LLMs
In Brief: Two motions regarding
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 1,013 posts.
In Brief: Two motions regarding
We measure real-world performance of coding agents on software engineering tasks, including cost, token usage, and execution time. We compare how performance changes across agents, models, and execution settings.
We are introducing OpenAI o1, a new large language model trained with reinforcement learning to perform complex reasoning. o1 thinks before it answers—it can produce a long internal chain of thought before responding to the user.
OpenAI and Hugging Face share early findings from a security incident during AI model evaluation, highlighting advanced cyber capabilities and lessons for defenders.
A new initiative to secure the world’s most critical software and give defenders a durable advantage in the coming AI-driven era of cybersecurity.
SpaceX designs, manufactures and launches advanced rockets and spacecraft.
How a team of 16 parallel Claude agents wrote a Rust-based C compiler from scratch, capable of compiling the Linux kernel, and what it taught us.
Lessons I learned while building my own coding agent from scratch.
Bayesian Methods for Hackers : An intro to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.
Recently, there’s been a great deal of excitement and interest in deep neural networks because they’ve achieved breakthrough results in areas such as computer vision. 1
Part 2: "Our Immortality or Our Extinction". When Artificial Intelligence gets superintelligent, it's either going to be a dream or a nightmare for us.
At the 2024 Worldwide Developers Conference, we introduced Apple Intelligence, a personal intelligence system integrated deeply into iOS 18…
I have held back on writing anything about AI or how we (not) use AI for development in the curl factory. Now I can't hold back anymore. Let me show you the most significant effect of AI on curl as of today - with examples. Bug Bounty Having a bug bounty means that we offer … Continue reading The I in LLM stands for…
I find this literature irritating and opaque. This is at least somewhat because I do not yet understand it well, and there's too much of it. But clearly I need to wrap my head around it, before I become technically obsolete. My scare quotes in the title of these notes thus derive in part from jealousy and fear. But…
We let Claude run a small shop in the Anthropic office. Here's what happened.
This weekend I decided to play around a bit with genetic programming and put evolution to the test, the test of fine art 🙂
We’re announcing GPT-4 Omni, our new flagship model which can reason across audio, vision, and text in real time.
Unless you have been living under a rock, you have heard of this new ChatGPT assistant made by OpenAI. Did you know, that you can run a whole virtual machine inside of ChatGPT?
Breakthrough models AlphaProof and AlphaGeometry 2 solve advanced reasoning problems in mathematics
78% of developers claim AI makes them more productive. 14% say it's a 10x improvement. So where's the flood of new software? Turns out those productivity claims are bullshit.
Instruction-following models such as GPT-3.5 (text-davinci-003), ChatGPT, Claude, and Bing Chat have become increasingly powerful. Many users now interact with these models regularly and even use them for work. However, despite their widespread deployment, instruction-following models still have many deficiencies…
Claude can now discover, learn, and execute tools dynamically to enable agents that take action in the real world. Here’s how.
Pay per crawl is a new feature to allow content creators to charge AI crawlers for access to their content.
We’re announcing updates including more steerable API models, function calling capabilities, longer context, and lower prices.
By Ryan Lopopolo, Member of the Technical Staff
Research on the ability of large language models to introspect on their own internal states.
Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again. Your thoughts have persistence.