Machine Learning Street Talk (MLST podcast

74 mentions · across 1 show · also seen as person

IMDbtt22983614 Apple Podcasts1510472996 WikidataQ121463874 Official sitehttps://podcasters.spotify.com/pod/show/machinelearningstreettalk

Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).

https://podcasters.spotify.com/pod/show/machinelearningstreettalk

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Connections 160

all 160 references 80 mentioned 80

references 80

→ references Articles website

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evidence rules-v4
Link in episode "How Deep Learning Finally Cracked Messy Tables - Frank Hutter": https://nature.com/articles/s41586-024-08328-6
How Deep Learning Finally Cracked Messy Tables - Frank Hutter · 2026-09-23
→ references PriorLabs product

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evidence rules-v4
Link in episode "How Deep Learning Finally Cracked Messy Tables - Frank Hutter": https://github.com/PriorLabs/TabPFN
How Deep Learning Finally Cracked Messy Tables - Frank Hutter · 2026-09-23
→ references NVIDIA company

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evidence rules-v4
Link in episode "How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu": https://github.com/NVIDIA/cosmos
How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu · 2026-09-15
→ references The Beginning Of Infinity By David Deutsch book

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evidence rules-v4
Link in episode "How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes": https://penguinrandomhouse.com/books/293575/the-beginning-of-infinity-by-david-deutsch
How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes · 2026-09-11
→ references Common Ground Between Ai 2027 And website

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evidence rules-v4
Link in episode "AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen": https://asteriskmag.substack.com/p/common-ground-between-ai-2027-and
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen · 2026-09-08
→ references Ryan Greenblatt person

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evidence rules-v4
Link in episode "AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen": https://lesswrong.com/users/ryan_greenblatt
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen · 2026-09-08
→ references Bullshit Jobs book

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evidence rules-v4
Link in episode "AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen": https://simonandschuster.com/books/Bullshit-Jobs/David-Graeber/9781501143335
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen · 2026-09-08
→ references Colossus Supercomputer person

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evidence rules-v4
Link in episode "Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)": https://en.wikipedia.org/wiki/Colossus_(supercomputer
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI) · 2026-07-13
→ references OpenAI company

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evidence rules-v4
Link in episode "Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)": https://github.com/openai/codex
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI) · 2026-07-13
→ references SystemVerilog concept

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evidence rules-v4
Link in episode "Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)": https://en.wikipedia.org/wiki/SystemVerilog
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI) · 2026-07-13
→ references Estimating The Size Of Claude Opus website

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evidence rules-v4
Link in episode "Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)": https://unexcitedneurons.substack.com/p/estimating-the-size-of-claude-opus
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI) · 2026-07-13
→ references More Everything Forever book

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evidence rules-v4
Link in episode "Every Exponential Ends — Silicon Valley Forgot — Adam Becker": https://hachettebookgroup.com/titles/adam-becker/more-everything-forever/9781541619593/[00:00:15
Every Exponential Ends — Silicon Valley Forgot — Adam Becker · 2026-08-20
→ references What Is Real? 00:15:46 concept

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evidence rules-v4
Link in episode "Every Exponential Ends — Silicon Valley Forgot — Adam Becker": https://en.wikipedia.org/wiki/What_Is_Real%3F[00:15:46
Every Exponential Ends — Silicon Valley Forgot — Adam Becker · 2026-08-20
→ references What We Owe the Future book

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evidence rules-v4
Link in episode "Every Exponential Ends — Silicon Valley Forgot — Adam Becker": https://hachettebookgroup.com/titles/william-macaskill/what-we-owe-the-future/9781541618626/other:[00:00:27
Every Exponential Ends — Silicon Valley Forgot — Adam Becker · 2026-08-20
→ references Office Of Technology Assessment person

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evidence rules-v4
Link in episode "When AI Decides You're a Threat — Brad Carson": https://en.wikipedia.org/wiki/Office_of_Technology_Assessment
When AI Decides You're a Threat — Brad Carson · 2026-05-31
→ references Section 230 concept

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evidence rules-v4
Link in episode "When AI Decides You're a Threat — Brad Carson": https://en.wikipedia.org/wiki/Section_230
When AI Decides You're a Threat — Brad Carson · 2026-05-31
→ references Lethal Autonomous Weapon person

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evidence rules-v4
Link in episode "When AI Decides You're a Threat — Brad Carson": https://en.wikipedia.org/wiki/Lethal_autonomous_weapon
When AI Decides You're a Threat — Brad Carson · 2026-05-31
→ references Strategic Arms Limitation Talks person

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evidence rules-v4
Link in episode "When AI Decides You're a Threat — Brad Carson": https://en.wikipedia.org/wiki/Strategic_Arms_Limitation_Talks
When AI Decides You're a Threat — Brad Carson · 2026-05-31
→ references Asilomar Conference On Recombinant DNA person

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evidence rules-v4
Link in episode "When AI Decides You're a Threat — Brad Carson": https://en.wikipedia.org/wiki/Asilomar_Conference_on_Recombinant_DNA
When AI Decides You're a Threat — Brad Carson · 2026-05-31
→ references Defense Production Act person

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evidence rules-v4
Link in episode "When AI Decides You're a Threat — Brad Carson": https://en.wikipedia.org/wiki/Defense_Production_Act
When AI Decides You're a Threat — Brad Carson · 2026-05-31
→ references Anthony Aguirre person

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evidence rules-v4
Link in episode "When AI Decides You're a Threat — Brad Carson": https://en.wikipedia.org/wiki/Anthony_Aguirre
When AI Decides You're a Threat — Brad Carson · 2026-05-31
→ references Giulio Douhet person

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evidence rules-v4
Link in episode "When AI Decides You're a Threat — Brad Carson": https://en.wikipedia.org/wiki/Giulio_Douhet
When AI Decides You're a Threat — Brad Carson · 2026-05-31
→ references Don Beyer person

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evidence rules-v4
Link in episode "When AI Decides You're a Threat — Brad Carson": https://en.wikipedia.org/wiki/Don_Beyer
When AI Decides You're a Threat — Brad Carson · 2026-05-31
→ references Phalanx CIWS person

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evidence rules-v4
Link in episode "When AI Decides You're a Threat — Brad Carson": https://en.wikipedia.org/wiki/Phalanx_CIWS
When AI Decides You're a Threat — Brad Carson · 2026-05-31
→ references Articles website

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evidence rules-v4
Link in episode "Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria)": https://nature.com/articles/s41586-021-03819-2
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria) · 2026-05-21
→ references pubmed.ncbi.nlm.nih.gov concept

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evidence rules-v4
Link in episode "Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas": https://pubmed.ncbi.nlm.nih.gov/11541392
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas · 2026-02-16
→ references Articles website

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evidence rules-v4
Link in episode "Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas": https://nature.com/articles/374227a0
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas · 2026-02-16
→ references Entries concept

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evidence rules-v4
Link in episode "Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas": https://plato.stanford.edu/entries/turing
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas · 2026-02-16
→ references John Von Neumann person

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evidence rules-v4
Link in episode "Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas": https://en.wikipedia.org/wiki/John_von_Neumann
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas · 2026-02-16
→ references Robert Sapolsky person

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evidence rules-v4
Link in episode "Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas": https://profiles.stanford.edu/robert-sapolsky
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas · 2026-02-16
→ references Quest Certainty Relation Knowledge Lectures book

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evidence rules-v4
Link in episode "Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]": https://amazon.com/Quest-Certainty-Relation-Knowledge-Lectures/dp/0399501916[00:19:45
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta] · 2026-01-23
→ references Consciousness Explained Daniel C Dennett book

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evidence rules-v4
Link in episode ""Vibe Coding is a Slot Machine" - Jeremy Howard": https://amazon.com/Consciousness-Explained-Daniel-C-Dennett/dp/0316180661
"Vibe Coding is a Slot Machine" - Jeremy Howard · 2026-03-03
→ references Infinite Alphabet Laws Knowledge book

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evidence rules-v4
Link in episode ""Vibe Coding is a Slot Machine" - Jeremy Howard": https://amazon.com/Infinite-Alphabet-Laws-Knowledge/dp/0241655676
"Vibe Coding is a Slot Machine" - Jeremy Howard · 2026-03-03
→ references Free Energy Principle person

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evidence rules-v4
Link in episode "VAEs Are Energy-Based Models? [Dr. Jeff Beck]": https://en.wikipedia.org/wiki/Free_energy_principle
VAEs Are Energy-Based Models? [Dr. Jeff Beck] · 2026-01-25
→ references Monte Carlo Tree Search person

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evidence rules-v4
Link in episode "VAEs Are Energy-Based Models? [Dr. Jeff Beck]": https://en.wikipedia.org/wiki/Monte_Carlo_tree_search
VAEs Are Energy-Based Models? [Dr. Jeff Beck] · 2026-01-25
→ references Articles website

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evidence rules-v4
Link in episode "Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]": https://nature.com/articles/s41467-019-11786-6
Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck] · 2025-12-31
→ references Brief History Intelligence Humans Breakthroughs book

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evidence rules-v4
Link in episode "Your Brain is Running a Simulation Right Now [Max Bennett]": https://amazon.com/Brief-History-Intelligence-Humans-Breakthroughs/dp/0063286343
Your Brain is Running a Simulation Right Now [Max Bennett] · 2025-12-30
→ references Hermann Helmholtz person

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evidence rules-v4
Link in episode "Your Brain is Running a Simulation Right Now [Max Bennett]": https://plato.stanford.edu/entries/hermann-helmholtz
Your Brain is Running a Simulation Right Now [Max Bennett] · 2025-12-30
→ references Behavior Of Nonhuman Primates person

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evidence rules-v4
Link in episode "Your Brain is Running a Simulation Right Now [Max Bennett]": https://sciencedirect.com/bookseries/behavior-of-nonhuman-primates/vol/5/suppl/C
Your Brain is Running a Simulation Right Now [Max Bennett] · 2025-12-30
→ references pubmed.ncbi.nlm.nih.gov concept

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evidence rules-v4
Link in episode "Your Brain is Running a Simulation Right Now [Max Bennett]": https://pubmed.ncbi.nlm.nih.gov/23129312
Your Brain is Running a Simulation Right Now [Max Bennett] · 2025-12-30
→ references Elephant Brain Hidden Motives Everyday book

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evidence rules-v4
Link in episode "Your Brain is Running a Simulation Right Now [Max Bennett]": https://amazon.com/Elephant-Brain-Hidden-Motives-Everyday/dp/0190495995
Your Brain is Running a Simulation Right Now [Max Bennett] · 2025-12-30
→ references The Status Game book

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evidence rules-v4
Link in episode "Your Brain is Running a Simulation Right Now [Max Bennett]": https://goodreads.com/book/show/58642436-the-status-game
Your Brain is Running a Simulation Right Now [Max Bennett] · 2025-12-30
→ references Language Game Improvisation Created Changed book

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evidence rules-v4
Link in episode "Your Brain is Running a Simulation Right Now [Max Bennett]": https://amazon.com/Language-Game-Improvisation-Created-Changed/dp/1541674987
Your Brain is Running a Simulation Right Now [Max Bennett] · 2025-12-30
→ references Evolution Language Approaches book

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evidence rules-v4
Link in episode "Your Brain is Running a Simulation Right Now [Max Bennett]": https://amazon.com/Evolution-Language-Approaches/dp/052167736X
Your Brain is Running a Simulation Right Now [Max Bennett] · 2025-12-30
→ references Innovators Dilemma Revolutionary Change Business book

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evidence rules-v4
Link in episode "The 3 Laws of Knowledge [César Hidalgo]": https://amazon.com/Innovators-Dilemma-Revolutionary-Change-Business/dp/0062060244
The 3 Laws of Knowledge [César Hidalgo] · 2025-12-27
→ references Romer concept

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evidence rules-v4
Link in episode "The 3 Laws of Knowledge [César Hidalgo]": https://web.stanford.edu/~klenow/Romer_1990.pdf
The 3 Laws of Knowledge [César Hidalgo] · 2025-12-27
→ references IdeaPF concept

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evidence rules-v4
Link in episode "The 3 Laws of Knowledge [César Hidalgo]": https://web.stanford.edu/~chadj/IdeaPF.pdf
The 3 Laws of Knowledge [César Hidalgo] · 2025-12-27
→ references Samuel Slater person

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evidence rules-v4
Link in episode "The 3 Laws of Knowledge [César Hidalgo]": https://en.wikipedia.org/wiki/Samuel_Slater
The 3 Laws of Knowledge [César Hidalgo] · 2025-12-27
→ references Paul Roy Lessard person

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evidence rules-v4
Link in episode "Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)": https://linkedin.com/in/paul-roy-lessard
Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar V… · 2025-12-22
→ references Andrew Dudzik person

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evidence rules-v4
Link in episode "Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)": https://linkedin.com/in/andrew-dudzik-222789142
Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar V… · 2025-12-22
→ references Articles website

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evidence rules-v4
Link in episode "Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)": https://nature.com/articles/s41586-023-06924-6
Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar V… · 2025-12-22
→ references Citations concept

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evidence rules-v4
Link in episode "The Mathematical Foundations of Intelligence [Professor Yi Ma]": https://scholar.google.com/citations?hl=en&user=XqLiBQMAAAAJ
The Mathematical Foundations of Intelligence [Professor Yi Ma] · 2025-12-13
→ references BRIEF HISTORY INTELLIGEN HB Evolution book

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evidence rules-v4
Link in episode "The Mathematical Foundations of Intelligence [Professor Yi Ma]": https://amazon.co.uk/BRIEF-HISTORY-INTELLIGEN-HB-Evolution/dp/0008560099
The Mathematical Foundations of Intelligence [Professor Yi Ma] · 2025-12-13
→ references Html website

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evidence rules-v4
Link in episode ""I Desperately Want To Live In The Matrix" - Dr. Mike Israetel": https://arxiv.org/html/cs/9906002
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel · 2025-12-24
→ references pubmed.ncbi.nlm.nih.gov concept

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evidence rules-v4
Link in episode ""I Desperately Want To Live In The Matrix" - Dr. Mike Israetel": https://pubmed.ncbi.nlm.nih.gov/37366315
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel · 2025-12-24
→ references Brain Abstracted Simplification Philosophy Neuroscience book

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evidence rules-v4
Link in episode ""I Desperately Want To Live In The Matrix" - Dr. Mike Israetel": https://amazon.com/Brain-Abstracted-Simplification-Philosophy-Neuroscience/dp/0262548046
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel · 2025-12-24
→ references Machines Who Think Artificial Intelligence book

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evidence rules-v4
Link in episode ""I Desperately Want To Live In The Matrix" - Dr. Mike Israetel": https://amazon.com/Machines-Who-Think-Artificial-Intelligence/dp/1568812051
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel · 2025-12-24
→ references Singularity Nearer Ray Kurzweil Ebook book

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evidence rules-v4
Link in episode ""I Desperately Want To Live In The Matrix" - Dr. Mike Israetel": https://amazon.com/Singularity-Nearer-Ray-Kurzweil-ebook/dp/B08Y6FYJVY
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel · 2025-12-24
→ references Fire Upon Deep S F MASTERWORKS Ebook book

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evidence rules-v4
Link in episode ""I Desperately Want To Live In The Matrix" - Dr. Mike Israetel": https://amazon.com/Fire-Upon-Deep-S-F-MASTERWORKS-ebook/dp/B00AVUMIZE
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel · 2025-12-24
→ references Deep Utopia Meaning Solved World book

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evidence rules-v4
Link in episode ""I Desperately Want To Live In The Matrix" - Dr. Mike Israetel": https://amazon.com/Deep-Utopia-Meaning-Solved-World/dp/1646871642
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel · 2025-12-24
→ references Technofeudalism Killed Capitalism Yanis Varoufakis book

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evidence rules-v4
Link in episode ""I Desperately Want To Live In The Matrix" - Dr. Mike Israetel": https://amazon.com/Technofeudalism-Killed-Capitalism-Yanis-Varoufakis/dp/1685891241
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel · 2025-12-24
→ references Nora Petrova person

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evidence rules-v4
Link in episode "Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - Prolific)": https://linkedin.com/in/nora-petrova
Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - P… · 2025-12-20
→ references Why Greatness Cannot Planned Objective book

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evidence rules-v4
Link in episode "He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke Darlow [Sakana AI]": https://amazon.co.uk/Why-Greatness-Cannot-Planned-Objective/dp/3319155237
He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke D… · 2025-11-23
→ references Master Algorithm Ultimate Learning Machine book

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evidence rules-v4
Link in episode "Pedro Domingos: Tensor Logic Unifies AI Paradigms": https://amazon.co.uk/Master-Algorithm-Ultimate-Learning-Machine/dp/0241004543
Pedro Domingos: Tensor Logic Unifies AI Paradigms · 2025-12-08
→ references Am Strange Loop Douglas Hofstadter book

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evidence rules-v4
Link in episode "Pedro Domingos: Tensor Logic Unifies AI Paradigms": https://amazon.co.uk/Am-Strange-Loop-Douglas-Hofstadter/dp/0465030793
Pedro Domingos: Tensor Logic Unifies AI Paradigms · 2025-12-08
→ references Complex World Introduction Foundations Complexity book

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evidence rules-v4
Link in episode "Pedro Domingos: Tensor Logic Unifies AI Paradigms": https://amazon.co.uk/Complex-World-Introduction-Foundations-Complexity/dp/1947864629
Pedro Domingos: Tensor Logic Unifies AI Paradigms · 2025-12-08
→ references Road Reality Complete Guide Universe book

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evidence rules-v4
Link in episode "Pedro Domingos: Tensor Logic Unifies AI Paradigms": https://amazon.co.uk/Road-Reality-Complete-Guide-Universe/dp/0099440687
Pedro Domingos: Tensor Logic Unifies AI Paradigms · 2025-12-08
→ references Artificial Intelligence Modern Approach Global book

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evidence rules-v4
Link in episode "Pedro Domingos: Tensor Logic Unifies AI Paradigms": https://amazon.co.uk/Artificial-Intelligence-Modern-Approach-Global/dp/1292153962
Pedro Domingos: Tensor Logic Unifies AI Paradigms · 2025-12-08
→ references Blaise Aguera y Arcas person

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evidence rules-v4
Link in episode "Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas": https://en.wikipedia.org/wiki/Blaise_Ag%C3%BCera_y_Arcas
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas · 2025-10-21
→ references Wonderful Life Burgess Nature History book

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evidence rules-v4
Link in episode "Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas": https://amazon.co.uk/Wonderful-Life-Burgess-Nature-History/dp/0099273454
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas · 2025-10-21
→ references Dont Sleep There Are Snakes book

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evidence rules-v4
Link in episode "Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas": https://amazon.com/Dont-Sleep-There-Are-Snakes/dp/0307386120
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas · 2025-10-21
→ references Nature Technology What How Evolves Ebook book

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evidence rules-v4
Link in episode "Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas": https://amazon.com/Nature-Technology-What-How-Evolves-ebook/dp/B002RI9W16
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas · 2025-10-21
→ references MANIAC BenjamíN Labatut book

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evidence rules-v4
Link in episode "Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas": https://amazon.com/MANIAC-Benjam%C3%ADn-Labatut/dp/1782279814
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas · 2025-10-21
→ references When We Cease Understand World book

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evidence rules-v4
Link in episode "Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas": https://amazon.com/When-We-Cease-Understand-World/dp/1681375664
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas · 2025-10-21
→ references Boys Boat Americans Berlin Olympics book

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evidence rules-v4
Link in episode "Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas": https://amazon.com/Boys-Boat-Americans-Berlin-Olympics/dp/0143125478
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas · 2025-10-21
→ references Anyone Builds Everyone Dies Superhuman book

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evidence rules-v4
Link in episode "Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas": https://amazon.com/Anyone-Builds-Everyone-Dies-Superhuman/dp/0316595640
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas · 2025-10-21
→ references Science concept

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evidence rules-v4
Link in episode "The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]": https://sciencedirect.com/science/article/pii/S0960982224009035
The Universal Hierarchy of Life - Prof. Chris Kempes [SFI] · 2025-10-25
→ references Citations concept

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evidence rules-v4
Link in episode "Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)": https://scholar.google.com/citations?hl=en&user=twWX2LIAAAAJ
Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU) · 2025-09-19
→ references War Against Cliche Reviews 1971 book

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evidence rules-v4
Link in episode "The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)": https://amazon.com/War-Against-Cliche-Reviews-1971-2000/dp/0375727167
The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore) · 2025-09-04
→ references Thousand Brains New Theory Intelligence book

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evidence rules-v4
Link in episode "New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman": https://amazon.com/Thousand-Brains-New-Theory-Intelligence/dp/1541675819https://www.youtube.com/watch?v=6VQILbDqaI4
New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman · 2025-09-27

mentioned 80

← mentioned Machine Learning Street Talk (MLST) podcast

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evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
← mentioned Machine Learning Street Talk (MLST) podcast

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evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang · 2026-09-26
← mentioned Machine Learning Street Talk (MLST) podcast

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evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
How Deep Learning Finally Cracked Messy Tables - Frank Hutter · 2026-09-23
← mentioned Machine Learning Street Talk (MLST) podcast

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evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick · 2026-09-21
← mentioned Machine Learning Street Talk (MLST) podcast

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evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu · 2026-09-15
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Speech Recognition Is Not a Solved Problem — Pavan Kumar Reddy · 2026-09-14
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Designing How AI Grows — Tom McGrath · 2026-09-02
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes · 2026-09-11
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov · 2026-08-22
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen · 2026-09-08
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart · 2026-08-10
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
How Researchers Test AI for Hidden Goals — Apollo Research · 2026-07-31
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI) · 2026-07-13
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Every Exponential Ends — Silicon Valley Forgot — Adam Becker · 2026-08-20
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
He won a Nobel here for AlphaFold. Then he left. - John Jumper · 2026-06-22
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The Benchmark With No Instructions — ARC-AGI-3 (winning team!) · 2026-07-01
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
When AI Decides You're a Threat — Brad Carson · 2026-05-31
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The Thermodynamic AI Computing Chip - Thomas Ahle · 2026-06-28
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
When AI Discovers The Next Transformer - Robert Lange (Sakana) · 2026-03-13
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The AI Models Smart Enough to Know They're Cheating — Beth Barnes & David Rein [METR] · 2026-05-04
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria) · 2026-05-21
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Evolution "Doesn't Need" Mutation - Blaise Agüera y Arcas · 2026-02-16
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta] · 2026-01-23
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
"Vibe Coding is a Slot Machine" - Jeremy Howard · 2026-03-03
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
VAEs Are Energy-Based Models? [Dr. Jeff Beck] · 2026-01-25
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck] · 2025-12-31
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Your Brain is Running a Simulation Right Now [Max Bennett] · 2025-12-30
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION] · 2026-01-23
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The 3 Laws of Knowledge [César Hidalgo] · 2025-12-27
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar V… · 2025-12-22
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The Mathematical Foundations of Intelligence [Professor Yi Ma] · 2025-12-13
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
"I Desperately Want To Live In The Matrix" - Dr. Mike Israetel · 2025-12-24
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - P… · 2025-12-20
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Why Humans Are Still Powering AI [Sponsored] · 2025-11-03
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke D… · 2025-11-23
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Pedro Domingos: Tensor Logic Unifies AI Paradigms · 2025-12-08
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow) · 2025-10-18
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM) · 2025-10-04
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas · 2025-10-21
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The Universal Hierarchy of Life - Prof. Chris Kempes [SFI] · 2025-10-25
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU) · 2025-09-19
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore) · 2025-09-04
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman · 2025-09-27
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle) · 2025-09-10
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakau… · 2025-07-31
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter) · 2025-08-05
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Superintelligence Strategy (Dan Hendrycks) · 2025-08-14
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Michael Timothy Bennett: Defining Intelligence and AGI Approaches · 2025-08-28
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The Fractured Entangled Representation Hypothesis (Intro) · 2025-07-05
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar) · 2025-07-06
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Pushing compute to the limits of physics · 2025-07-21
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Google AlphaEvolve - Discovering new science (exclusive interview) · 2025-05-14
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
How AI Learned to Talk and What It Means - Prof. Christopher Summerfield · 2025-06-17
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendr… · 2025-06-24
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
"Blurring Reality" - Chai's Social AI Platform (SPONSORED) · 2025-05-26
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming! · 2025-04-02
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Prof. Randall Balestriero - LLMs without pretraining and SSL · 2025-04-23
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
The Compendium - Connor Leahy and Gabriel Alfour · 2025-03-30
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares) · 2025-04-08
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop) · 2025-03-24
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman) · 2025-03-22
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere) · 2025-03-18
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
GSMSymbolic paper - Iman Mirzadeh (Apple) · 2025-03-19
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Tau Language: The Software Synthesis Future (sponsored) · 2025-03-12
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
John Palazza - Vice President of Global Sales @ CentML ( sponsored) · 2025-03-10
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Transformers Need Glasses! - Federico Barbero · 2025-03-08
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning? · 2025-02-18
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners · 2025-02-12
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning? · 2025-02-19
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu · 2025-03-01
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Sepp Hochreiter - LSTM: The Comeback Story? · 2025-02-12
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero · 2025-02-08
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Nicholas Carlini (Google DeepMind) · 2025-01-25
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Subbarao Kambhampati - Do o1 models search? · 2025-01-23
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Francois Chollet - ARC reflections - NeurIPS 2024 · 2025-01-09
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
How Do AI Models Actually Think? - Laura Ruis · 2025-01-20
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Yoshua Bengio - Designing out Agency for Safe AI · 2025-01-15
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Jurgen Schmidhuber on Humans co-existing with AIs · 2025-01-16
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders) · 2024-12-07
← mentioned Machine Learning Street Talk (MLST) podcast

0.95

evidence rules-v4
Feed title: Machine Learning Street Talk (MLST)
Jonas Hübotter (ETH) - Test Time Inference · 2024-12-01

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Machine Learning Street Talk (MLST)268 episodes

Mentioned in episodes

When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang

2026-09-26 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

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How Deep Learning Finally Cracked Messy Tables - Frank Hutter

2026-09-23 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick

2026-09-21 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu

2026-09-15 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
Speech Recognition Is Not a Solved Problem — Pavan Kumar Reddy

2026-09-14 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

2026-09-11 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen

2026-09-08 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
Designing How AI Grows — Tom McGrath

2026-09-02 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov

2026-08-22 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
Every Exponential Ends — Silicon Valley Forgot — Adam Becker

2026-08-20 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart

2026-08-10 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
How Researchers Test AI for Hidden Goals — Apollo Research

2026-07-31 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)

2026-07-13 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)
The Benchmark With No Instructions — ARC-AGI-3 (winning team!)

2026-07-01 · Machine Learning Street Talk (MLST) · via appeared on · 0.68

The Benchmark With No Instructions — ARC-AGI-3 (winning team!)
The Benchmark With No Instructions — ARC-AGI-3 (winning team!)

2026-07-01 · Machine Learning Street Talk (MLST) · via mentioned · 0.95

Feed title: Machine Learning Street Talk (MLST)