PinnedPublished inGoPenAIWhen Scaling Laws Hit the WallWhy Your Next AI Breakthrough Won’t Come from Bigger ModelsJul 2A response icon6Jul 2A response icon6
PinnedAPE: How Biology Taught Me to Fine-Tune AI Models 33% BetterWhat if the secret to better AI wasn’t more computing power, but understanding how life itself learns and adapts?Jun 10A response icon12Jun 10A response icon12
PinnedPublished inTDS ArchiveExplainable Deep Neural NetworksMay 30, 2021A response icon3May 30, 2021A response icon3
PinnedPublished inTDS ArchiveUntangling AI systemsHow physics can help us understand neural networksOct 26, 2024A response icon2Oct 26, 2024A response icon2
PinnedPublished inTDS ArchiveSynthetic Tabular Data GenerationIntroducing nbsynthetic: a simple but powerful tabular data generation open source library for small datasets.Sep 7, 2022A response icon2Sep 7, 2022A response icon2
Why I did AI Prompting Wrong (And What Actually Works)The moment I realized I’d been solving the wrong problemJul 9Jul 9
Published inGenerative AII Stopped Using “Write Like Steve Jobs” PromptsAnd Started Building Real Mental Models InsteadJun 27Jun 27
Step by Step Guide to Get Out of AI HypeA practical guide to advance in your AI implementation strategyJun 20A response icon11Jun 20A response icon11
Published inGenerative AIWhy Your AI Agents Need a Human BossI see how many leaders race to adopt multi-agent AI systems. Some call it the AI race, and not only between foundation model providers but…Feb 18Feb 18
Published inTDS ArchiveUnderstanding Emergent Capabilities in LLMs: Lessons from Biological SystemsHow natural systems fundamental laws help explain AI’s unexpected abilitiesJan 22A response icon10Jan 22A response icon10