Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

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/).

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Episoder(252)

Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!

Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!

Eiso Kant, CTO of poolside AI, discusses the company's approach to building frontier AI foundation models, particularly focused on software development. Their unique strategy is reinforcement learning...

2 Apr 20251h 36min

The Compendium - Connor Leahy and Gabriel Alfour

The Compendium - Connor Leahy and Gabriel Alfour

Connor Leahy and Gabriel Alfour, AI researchers from Conjecture and authors of "The Compendium," joinus for a critical discussion centered on Artificial Superintelligence (ASI) safety and governance. ...

30 Mar 20251h 37min

ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)

ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)

We are joined by Francois Chollet and Mike Knoop, to launch the new version of the ARC prize! In version 2, the challenges have been calibrated with humans such that at least 2 humans could solve each...

24 Mar 202554min

Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)

Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)

Mohamed Osman joins to discuss MindsAI's highest scoring entry to the ARC challenge 2024 and the paradigm of test-time fine-tuning. They explore how the team, now part of Tufa Labs in Zurich, achieved...

22 Mar 20251h 3min

GSMSymbolic paper - Iman Mirzadeh (Apple)

GSMSymbolic paper - Iman Mirzadeh (Apple)

Iman Mirzadeh from Apple, who recently published the GSM-Symbolic paper discusses the crucial distinction between intelligence and achievement in AI systems. He critiques current AI research methodolo...

19 Mar 20251h 11min

Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)

Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)

Dr. Max Bartolo from Cohere discusses machine learning model development, evaluation, and robustness. Key topics include model reasoning, the DynaBench platform for dynamic benchmarking, data-centric ...

18 Mar 20251h 23min

Tau Language: The Software Synthesis Future (sponsored)

Tau Language: The Software Synthesis Future (sponsored)

This sponsored episode features mathematician Ohad Asor discussing logical approaches to AI, focusing on the limitations of machine learning and introducing the Tau language for software development a...

12 Mar 20251h 41min

John Palazza - Vice President of Global Sales @ CentML ( sponsored)

John Palazza - Vice President of Global Sales @ CentML ( sponsored)

John Palazza from CentML joins us in this sponsored interview to discuss the critical importance of infrastructure optimization in the age of Large Language Models and Generative AI. We explore how en...

10 Mar 202554min

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