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Scaling long-running autonomous coding
We've been experimenting with running coding agents autonomously for weeks at a time.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,238 posts.
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Mastering Stratego
Game-playing artificial intelligence (AI) systems have advanced to a new frontier. Stratego, the classic board game that’s more complex than chess and Go, and craftier than poker, has now been mastered. Published in Science, we present DeepNash, an AI agent that learned the game from scratch to a human expert level by…
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Tacotron 2: Generating Human-Like Speech from Text
Posted by Jonathan Shen and Ruoming Pang, Software Engineers, on behalf of the Google Brain and Machine Perception TeamsGenerating very natural sou...
1084
High-Speed AI Drone Overtakes World-Champion Drone Racers
Remember when IBM’s Deep Blue won against Gary Kasparov at chess in 1996, or Google’s AlphaGo crushed the top champion Lee Sedol at Go, a much more complex game, in 2016? These competitions where machines prevailed over human champions are key milestones in the history of artificial intelligence. Now a group of…
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Skills for organizations, partners, the ecosystem
In October, we introduced skills—a way to teach Claude repeatable workflows tailored to how you work. Today we're making skills easier to deploy, discover, and build: organization-wide management for admins; a directory of partner-built skills from Notion, Canva, Figma, Atlassian, and others; and an open standard so…
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Cloudflare Announces Firewall for AI
Cloudflare is one of the first providers to safeguard LLM models and users in the era of AI
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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
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Differentiable Neural Computers
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…
1089
Inside the Matrix: Visualizing Matrix Multiplication, Attention and Beyond
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...
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Donating the Model Context Protocol and establishing the Agentic AI Foundation
Anthropic is donating the Model Context Protocol to the Linux Foundation's new Agentic AI Foundation, co-founded with Block and OpenAI.
1091
The Difference Between AI, Machine Learning, and Deep Learning
Explore the progression from AI training to AI inference, and how they both function.
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LFM2.5-24B-A2B: Built for fast on-device agents
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.
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AI, Deep Learning, and Machine Learning: A Primer [video]
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...
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Replicate is joining Cloudflare
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.
1095
MK-1
AMD acquires MK1, welcoming their world-class team and marking another key milestone in our strategy to advance AI performance and efficiency.
1096
Building an end-to-end Speech Recognition model in PyTorch
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.
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Microrobots can brush and floss teeth in a proof-of-concept study
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.
1099
Codex, Opus, Gemini try to build Counter Strike
Introducing CS Bench: we ask all top models to build a multiplayer Counter-Strike from scratch.
1100
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-Precision
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.
1101
Simulation of a 2B-atom cell that metabolizes and grows like a living cell
Researchers from the University of Illinois developed GPU-accelerated software to simulate a cell that metabolizes and grows like a living cell.
1102
Running Qwen3 on your macbook, using MLX, to vibe code for free
Localforge blog post
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Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses
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.
1105
Anthropic expands partnership with Google and Broadcom for next-gen compute
Anthropic secures multiple gigawatts of next-generation TPU capacity starting in 2027, its largest compute commitment to date.
1106
SoundStream: An End-to-End Neural Audio Codec
Posted by Neil Zeghidour, Research Scientist and Marco Tagliasacchi, Staff Research Scientist, Google Research Audio codecs are used to efficiently...
1107
Strands Decider 2B: a small, open-source, decision model
Strands Decider 2B is a small, open source, decision model optimized for fast experimentation, local development, and innovation.
1108
Prodigy: A new tool for radically efficient machine teaching
Machine learning systems are built from both code and data. It's easy to reuse the code but hard to reuse the data, so building AI mostly means doing annotation. This is good, because the examples are how you program the behaviour – the learner itself is really just a compiler. What's not good is the current…
1109
PhotoScan: Taking Glare-Free Pictures of Pictures
Posted by Ce Liu, Michael Rubinstein, Mike Krainin and Bill Freeman, Research ScientistsYesterday, we released an update to PhotoScan, an app for i...
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Moondream 3 Preview: Frontier-level reasoning at a blazing speed
Think deeper, detect smarter, run just as fast.