Current AI models, such as GPT-6 Astra and Fable 5.1, are already capable of transformative impact in large sections of the economy, and their capabilities are being underutilized, with many unaware of their full potential. AI summary
Firehose
Filtered to tagged “Deep learning” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives
Browse by tag
artificial intelligence 87continual learning 32AI 24reinforcement learning 14agentic coding 13AI safety 13open-weight models 13AI agents 10existential risk 9AI ethics 8cybersecurity 8ethics 7language models 7machine learning 7natural language processing 6open-source 6Reinforcement learning 6security 6artificial general intelligence 5Diffusion models 5recursive self-improvement 5robotics 5software development 5Agentic AI 4large language models 4mathematics 4multi-agent systems 4Recursive self-improvement 4agentic AI 3agents 3
We Must Pace the Frontier, ToolGrad: Efficient tool-use dataset generation with textual "gradients", a paper on The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement, and many more!
Introducing ChatGPT Images 2.5, Linguistic drift at the frontier, a paper on Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning, and many more!
Eric Jang explains how to build AlphaGo from scratch using modern AI tools, detailing the game of Go's rules and the core Monte Carlo Tree Search (MCTS) algorithm. He describes how deep neural networks, specifically value and policy network…