Braeden Hall

on the atlas — 33

• Machine learning needs better tools – Replicate2 savers
• Chess Engines: A Zero to One Guide1 savers
• Playing chess with large language models1 savers
• [2310.20260] Learning to Play Chess from Textbooks (LEAP): a Corpus for Evaluating Chess Moves based on Sentiment Analysis1 savers
• [2209.11902] Learning Chess With Language Models and Transformers1 savers
• 2401.10020.pdf1 savers
• More Efficient In-Context Learning with GLaM – Google Research Blog1 savers
• Neural Networks1 savers
• Why Startup Hubs Work1 savers
• GET OUT OF THE STUDIO1 savers
• 2401.02415.pdf1 savers
• Language Model Composition1 savers
• Collaboration Cookbook1 savers
• Curius / Onboarding2507 savers
• Looking for Alice - by Henrik Karlsson - Escaping Flatland84 savers
• Childhoods of exceptional people - by Henrik Karlsson63 savers
• Thirty Observations at Thirty62 savers
• How to be More Agentic - by Cate Hall - Useful Fictions33 savers
• Toy Models of Superposition28 savers
• An app can be a home-cooked meal25 savers
• Advice to Young People, The Lies I Tell Myself - jxnl.co19 savers
• Manifesto · Moth Fund18 savers
• transformer_attention.pdf18 savers
• Rauno Freiberg16 savers
• neal.fun15 savers
• Software 2.0. I sometimes see people refer to neural… | by Andrej Karpathy | Medium15 savers
• David Hoang - Designer, investor, and writer14 savers
• In Search of Organic Software13 savers
• Aim, fire, scan: the 80/20 of executing on big projects12 savers
• Explorable Explanations8 savers
• Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention) – Jay Alammar – Visualizing machine learning one concept at a time.8 savers
• The Top Idea in Your Mind6 savers
• Paul Buchheit: I am nothing3 savers