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/).

Tämä podcast on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi podcastin jaksot saattavat sisältää mainontaa.

Jaksot(271)

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 Maalis 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 Maalis 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 Maalis 202554min

Transformers Need Glasses! - Federico Barbero

Transformers Need Glasses! - Federico Barbero

Federico Barbero (DeepMind/Oxford) is the lead author of "Transformers Need Glasses!". Have you ever wondered why LLMs struggle with seemingly simple tasks like counting or copying long strings of tex...

8 Maalis 20251h

Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu

Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu

We speak with Sakana AI, who are building nature-inspired methods that could fundamentally transform how we develop AI systems.The guests include Chris Lu, a researcher who recently completed his DPhi...

1 Maalis 20251h 37min

Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?

Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?

Clement Bonnet discusses his novel approach to the ARC (Abstraction and Reasoning Corpus) challenge. Unlike approaches that rely on fine-tuning LLMs or generating samples at inference time, Clement's ...

19 Helmi 202551min

Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?

Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?

Prof. Jakob Foerster, a leading AI researcher at Oxford University and Meta, and Chris Lu, a researcher at OpenAI -- they explain how AI is moving beyond just mimicking human behaviour to creating tru...

18 Helmi 202553min

Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners

Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners

Daniel Franzen and Jan Disselhoff, the "ARChitects" are the official winners of the ARC Prize 2024. Filmed at Tufa Labs in Zurich - they revealed how they achieved a remarkable 53.5% accuracy by creat...

12 Helmi 20251h 9min