2 ms·

I turned NeurIPS 2025 into podcast episodes. Here's what I learned about AI

1 points by changxu 10mo ago

changxu 10mo ago
Went to NeurIPS but couldn't hit all the talks I wanted, so I turned workshop sessions and invited talks into 11 podcast episodes (each under 20 min). Some findings that changed how I think about AI: Reality checks: - Best vision models: 28.8% accuracy on tasks requiring physics/time/causality - FDA approvals for generative AI in clinical use: Zero - 1000x gap in data efficiency between AI and human brains - 10 years of daily financial data = 2,500 observations (way too small for transformers) Actual breakthroughs: - Brain-computer interfaces detecting subconscious error signals (90% to 99% accuracy) - Apple Watch pulse geometry predicting heart disease better than cholesterol - Multimodal fusion eliminating the need for 10,000 human labels per robot task - Dynamic portfolios spontaneously switching hedging instruments during COVID Episode list: 1. Society's Fragile Equilibrium - Why "good enough" AI at scale is more disruptive than superintelligence (AGEI vs AGI) 2. The Evaluation Crisis - Why we're testing AI wrong (the infant morality study, Clever Hans effect) 3. The Reasoning Revolution - How o1/o3 actually think, mode collapse, the artificial hivemind problem 4. Engineering Creative AI - DALL-E training 23x faster with one token, world models, IP questions 5. AI Transforms Scientific Discovery - Dolphin communication, ground squirrels to heart treatments, virtual cells 6. Foundation Models for Brain and Body - Biological age gap from wearables, BCI error detection, SSL for neural data 7. Computer Vision's Journey - AI vision is solved, AI reasoning is not (28.8% reality check) 8. Robots That Learn Without Humans - Zero-shot robotics training via multimodal fusion 9. The Autonomous Agent Revolution - Reward hacking everywhere, why rigid multi-agent systems fail 10. Generative AI in Finance - Four pitfalls that break standard AI, task-driven training solutions 11. AI as Time Machine for Science - Years to days, but zero FDA approvals (the central tension) Sources: NeurIPS 2025 workshops and invited talks (Yejin Choi, Melanie Mitchell, Zeynep Tufekci, etc.) https://www.basisset.com/#NeurIPS2025 https://www.basisset.com/#NeurIPS2025
- zeristor 10mo ago
  “Apple Watch pulse geometry predicting heart disease better than cholesterol” sounds interesting https://pmc.ncbi.nlm.nih.gov/articles/PMC12412449/ https://pmc.ncbi.nlm.nih.gov/articles/PMC12412449/

1 points by changxu 10mo ago

Went to NeurIPS but couldn't hit all the talks I wanted, so I turned workshop sessions and invited talks into 11 podcast episodes (each under 20 min). Some findings that changed how I think about AI: Reality checks: - Best vision models: 28.8% accuracy on tasks requiring physics/time/causality - FDA approvals for generative AI in clinical use: Zero - 1000x gap in data efficiency between AI and human brains - 10 years of daily financial data = 2,500 observations (way too small for transformers) Actual breakthroughs: - Brain-computer interfaces detecting subconscious error signals (90% to 99% accuracy) - Apple Watch pulse geometry predicting heart disease better than cholesterol - Multimodal fusion eliminating the need for 10,000 human labels per robot task - Dynamic portfolios spontaneously switching hedging instruments during COVID Episode list: 1. Society's Fragile Equilibrium - Why "good enough" AI at scale is more disruptive than superintelligence (AGEI vs AGI) 2. The Evaluation Crisis - Why we're testing AI wrong (the infant morality study, Clever Hans effect) 3. The Reasoning Revolution - How o1/o3 actually think, mode collapse, the artificial hivemind problem 4. Engineering Creative AI - DALL-E training 23x faster with one token, world models, IP questions 5. AI Transforms Scientific Discovery - Dolphin communication, ground squirrels to heart treatments, virtual cells 6. Foundation Models for Brain and Body - Biological age gap from wearables, BCI error detection, SSL for neural data 7. Computer Vision's Journey - AI vision is solved, AI reasoning is not (28.8% reality check) 8. Robots That Learn Without Humans - Zero-shot robotics training via multimodal fusion 9. The Autonomous Agent Revolution - Reward hacking everywhere, why rigid multi-agent systems fail 10. Generative AI in Finance - Four pitfalls that break standard AI, task-driven training solutions 11. AI as Time Machine for Science - Years to days, but zero FDA approvals (the central tension) Sources: NeurIPS 2025 workshops and invited talks (Yejin Choi, Melanie Mitchell, Zeynep Tufekci, etc.) https://www.basisset.com/#NeurIPS2025 https://www.basisset.com/#NeurIPS2025

zeristor 10mo ago
“Apple Watch pulse geometry predicting heart disease better than cholesterol” sounds interesting https://pmc.ncbi.nlm.nih.gov/articles/PMC12412449/ https://pmc.ncbi.nlm.nih.gov/articles/PMC12412449/