Machine Learning Street Talk (MLST)
Technology
We are now sponsored by Weights and Biases! Please visit our sponsor link: http://wandb.me/MLST
Patreon: https://www.patreon.com/mlst
Yann LeCun thinks that it's specious to say neural network models are interpolating because in high dimensions, everything is extrapolation. Recently Dr. Randall Balestriero, Dr. Jerome Pesente and prof. Yann LeCun released their paper learning in high dimensions always amounts to extrapolation. This discussion has completely changed how we think about neural networks and their behaviour.
[00:00:00] Pre-intro
[00:11:58] Intro Part 1: On linearisation in NNs
[00:28:17] Intro Part 2: On interpolation in NNs
[00:47:45] Intro Part 3: On the curse
[00:48:19] LeCun
[01:40:51] Randall B
YouTube version: https://youtu.be/86ib0sfdFtw
Gary Marcus' keynote at AGI-24
Is ChatGPT an N-gram model on steroids?
Jay Alammar on LLMs, RAG, and AI Engineering
Can AI therapy be more effective than drugs?
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)
Sara Hooker - Why US AI Act Compute Thresholds Are Misguided
Prof. Murray Shanahan - Machines Don't Think Like Us
David Chalmers - Reality+
Ryan Greenblatt - Solving ARC with GPT4o
Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)
New "50%" ARC result and current winners interviewed
Cohere co-founder Nick Frosst on building LLM apps for business
What’s the Magic Word? A Control Theory of LLM Prompting.
CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina
Dr. Thomas Parr - Active Inference Book
Connor Leahy - e/acc, AGI and the future.
Prof. Chris Bishop's NEW Deep Learning Textbook!
Philip Ball - How Life Works
Dr. Paul Lessard - Categorical/Structured Deep Learning
Create your
podcast in
minutes
It is Free
Insight Story: Tech Trends Unpacked
Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future
Lex Fridman Podcast
Elliot in the Morning