Machine Learning Street Talk (MLST)
Episodes 271 total
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 Artifici…
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…
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 tea…
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…
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…
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…
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 Mod…
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…
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 re…
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 generati…
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 m…
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…
Sepp Hochreiter - LSTM: The Comeback Story?
Sepp Hochreiter, the inventor of LSTM (Long Short-Term Memory) networks – a foundational technology in AI. Sepp discusses his journey, the origins of LSTM, and…
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
Professor Randall Balestriero joins us to discuss neural network geometry, spline theory, and emerging phenomena in deep learning, based on research presented a…
Nicholas Carlini (Google DeepMind)
Nicholas Carlini from Google DeepMind offers his view of AI security, emergent LLM capabilities, and his groundbreaking model-stealing research. He reveals how…
Subbarao Kambhampati - Do o1 models search?
Join Prof. Subbarao Kambhampati and host Tim Scarfe for a deep dive into OpenAI's O1 model and the future of AI reasoning systems. * How O1 likely uses rein…
How Do AI Models Actually Think? - Laura Ruis
Laura Ruis, a PhD student at University College London and researcher at Cohere, explains her groundbreaking research into how large language models (LLMs) perf…
Jurgen Schmidhuber on Humans co-existing with AIs
Jürgen Schmidhuber, the father of generative AI, challenges current AI narratives, revealing that early deep learning work is in his opinion misattributed, wher…
Yoshua Bengio - Designing out Agency for Safe AI
Professor Yoshua Bengio is a pioneer in deep learning and Turing Award winner. Bengio talks about AI safety, why goal-seeking “agentic” AIs might be dangerous…
Francois Chollet - ARC reflections - NeurIPS 2024
François Chollet discusses the outcomes of the ARC-AGI (Abstraction and Reasoning Corpus) Prize competition in 2024, where accuracy rose from 33% to 55.5% on a…