Machine Learning Street Talk (MLST)
Machine Learning Street Talk (MLST)
AI分野の第一人者たちとの刺激的な議論を届けるポッドキャストです。主力番組では、AIの最新動向、認知科学、神経科学、心の哲学を、深い分析とともに取り上げます。番組はAIにおける知的多様性を重視し、分野の主要な考え方を幅広く扱いつつ、誇張された話題は極力排しています。進行役はTim Scarfe博士で、MIT で哲学博士号を持つKeith Duggarが定期的に出演します。
エピソード
Machine Learning Street Talk (MLST)
進化は「ランダム探索」ではない:Akarsh Kumar が語る人工生命・ASAL・Core War
What Most People Get Wrong About Evolution | Akarsh Kumar
MIT 博士課程の Akarsh Kumar が、人工生命の探索手法 ASAL と、LLM を突然変異役に使う Core War の進化実験について語った回。シミュレーションを実行して基盤モデルに評価させる手法で、人工世界の空間をまるごと探索できると説明する。学習の経路が表現構造を左右するという FER の見方や、「進化はランダムではない」という主張も軸になっている。
Machine Learning Street Talk (MLST)
How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen
Machine Learning Street Talk (MLST)
Who Checks a Proof No Human Can Read? — Leo de Moura
Machine Learning Street Talk (MLST)
When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang
Machine Learning Street Talk (MLST)
How Deep Learning Finally Cracked Messy Tables - Frank Hutter
Machine Learning Street Talk (MLST)
Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick
Machine Learning Street Talk (MLST)
How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu
Machine Learning Street Talk (MLST)
Speech Recognition Is Not a Solved Problem — Pavan Kumar Reddy
Machine Learning Street Talk (MLST)
How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes
Machine Learning Street Talk (MLST)
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen
Machine Learning Street Talk (MLST)
Designing How AI Grows — Tom McGrath
Machine Learning Street Talk (MLST)
Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov
Machine Learning Street Talk (MLST)
Every Exponential Ends — Silicon Valley Forgot — Adam Becker
Machine Learning Street Talk (MLST)
AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart
Machine Learning Street Talk (MLST)
How Researchers Test AI for Hidden Goals — Apollo Research
Machine Learning Street Talk (MLST)
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)
Machine Learning Street Talk (MLST)
The Benchmark With No Instructions — ARC-AGI-3 (winning team!)
Machine Learning Street Talk (MLST)
The Thermodynamic AI Computing Chip - Thomas Ahle
Machine Learning Street Talk (MLST)
He won a Nobel here for AlphaFold. Then he left. - John Jumper
Machine Learning Street Talk (MLST)