Learning to solve hard problems in RL for LLMs by never giving up
Learning to solve hard problems in RL for LLMs by never giving up
Read more →Learning to solve hard problems in RL for LLMs by never giving up
Read more →Why are AI agents lying, cheating and coordinating?
Read more →Proof of Capture: Apple Reference Image, but open source and using steganography
Read more →Show HN: What if the speed of light was 5 km/h?
Read more →Growing proof that autonomous cars save lives
Read more →Show HN: Geiger – See every AI agent on your machine and what it can touch
Read more →GPT-6 Astra, looped transformers, and hidden reasoning
Read more →I resigned from Anthropic today
Read more →216M Spy TVs – The LG Smart TV Problem [video]
Read more →How concerned should we be about Astra's recurrent architecture?
Read more →A note on subscription prices from LWN
Read more →I turned my security cameras into an automatic bird identification system
Read more →Transfer files over an Ethernet patch cable
Read more →I built a low-latency AI companion that plays Skyrim with me
Read more →OpenLogi
Read more →Claude Code teaching macOS to natively print to the HP Laser 1008a
Read more →Code-native generation of highly programmable 3D assets (2026)
Read more →How Organizations Use AI: Evidence from ChatGPT [pdf]
Read more →llama.cpp
Read more →Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
Read more →Hacker Public Radio
Read more →Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac
Read more →Kimi K3 Architecture Overview and Notes
Read more →Libsm64: Mario 64 as a library for use in external game engines
Read more →Kimi-K3 on HuggingFace
Read more →Terence Tao's ChatGPT conversation about the Jacobian Conjecture counterexample
Read more →Annoying and alarming things about OpenCode
Read more →Qwen-Robot Suite: A Foundation Model Suite for Physical World Intelligence
Read more →The local LLM ecosystem doesn’t need Ollama
Read more →Scaling up test-time compute with latent reasoning: A recurrent depth approach
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