A new old kind of R&D lab
Answer.AI will figure out the fundamental research needed to tame AI, and the development path needed to make it useful in practice
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,328 posts.
Answer.AI will figure out the fundamental research needed to tame AI, and the development path needed to make it useful in practice
In a recent study in Nature, we introduce a form of memory-augmented neural network called a differentiable neural computer, and show that it can learn to use its memory to answer questions about complex, structured data, including artificially generated stories, family trees, and even a map of the London Underground…
The true dystopia of AI is that it can make Ugly Sonic look cool.
One model to learn them all Kaiser et al., arXiv 2017 You almost certainly have an abstract conception of a banana in your head. Suppose you ask me if I’d like anything to eat. I can say the word ‘…
Use 3D to visualize matrix multiplication expressions, attention heads with real weights, and more. Matrix multiplications (matmuls) are the building blocks of today’s ML models. This note presents mm, a visualization...
the real reason zsh beats bash • how I got twice as fast in python • autocompleting all the things • maximizing user-interface bandwidth
There has been rather a lot of doomsaying (and perhaps astroturfing) lately about LLMs as the end of computer programming. Much of the discussion has been lacking nuance, so I’d like to add mine. I see claims from one side that “I used $LLM_SERVICE_PROVIDER to make a small throwaway tool, so all programmers will be…
Anthropic is donating the Model Context Protocol to the Linux Foundation's new Agentic AI Foundation, co-founded with Block and OpenAI.
Updated 2026-07-10 for the agent-teams era. Originally published September 2025. A subagent in Claude Code is a separate agent your session spawns to do a...
Explore the progression from AI training to AI inference, and how they both function.
LFM2.5-24B-A2B: an open-weight 24B reasoning model with 2B active parameters, built for fast, private on-device agents. Beats Qwen3.6-35B-A3B on LiveClaw.
watch time: 45 minutes “One person, in a literal garage, building a self-driving car.” That happened in 2015. Now to put that fact in context, compare this to 2004, when DARPA sponsored the very first driverless car Grand Challenge. Of the 20 entries they received then, the winning entry went 7.2 miles; in 2007, in...
Last year I wrote about my initial experiments with DALL-E 2, OpenAI’s image generation model. I’ve been having an absurd amount of fun playing with its sequel, DALL-E 3 recently. …
Replicate’s going to carry on as a distinct brand, and all that’ll happen is that it’s going to get way better. It’ll be faster, we’ll have more resources, and it’ll integrate with the rest of Cloudflare’s Developer Platform.
AMD acquires MK1, welcoming their world-class team and marking another key milestone in our strategy to advance AI performance and efficiency.
The complete guide on how to build an end-to-end Speech Recognition model in PyTorch. Train your own CTC Deep Speech model using this tutorial.
The toolkit for spec-driven development. Write feature specs, not prompts. Ship better software with AI agents that understand your requirements.
Artificial intelligence is the biggest tech construction project in a century. Here's what that looks like.
In a proof-of-concept study, researchers from the School of Dental Medicine and School of Engineering and Applied Science shows that a hands-free system could effectively automate the treatment and removal of tooth-decay-causing bacteria and dental plaque.
Since 1984 a secretive AI project has been building a massive knowledge base to enable human-like reasoning. Will it work?
Introducing CS Bench: we ask all top models to build a multiplayer Counter-Strike from scratch.
FlashAttention-3 achieves up to 75% GPU utilization on H100s, making AI models up to 2x faster and enabling efficient processing of longer text inputs. It allows for faster training and inference of LLMs, supports lower precision operations for improved efficiency.
The Noam Chomsky Website.
Interpreting Reddit's API changes in light of how it serves OpenAI.
LLM agents make bad pairs because they code faster than humans think. I'll admit, I've had a lot of fun using GitHub Copilot's agent mode in VS Code this month.…
Researchers from the University of Illinois developed GPU-accelerated software to simulate a cell that metabolizes and grows like a living cell.
Localforge blog post
I test Unsloth GGUFs of Qwen3.8 27B (Q4_K_M, UD-Q2_K_XL, UD-IQ1_S) with llama.cpp on GPQA Diamond, IFBench, Terminal-Bench 2.1. Q4_K_M matches BF16 and fits an RTX 4090.