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 why he believes his latest work, XLSTM, ...
12 Feb 20251h 7min
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 at ICML. Topics include the delayed emerg...
8 Feb 20251h 18min
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 LLMs can unexpectedly excel at tasks lik...
25 Jan 20251h 21min
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 reinforcement learning similar to AlphaGo, wit...
23 Jan 20251h 32min
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) perform reasoning tasks, the fundamental mec...
20 Jan 20251h 18min
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, where it actually originated in Ukraine and ...
16 Jan 20251h 12min
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, and his vision for building powerful AI ...
15 Jan 20251h 41min
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 private evaluation set. SPONSOR MESSAGE...
9 Jan 20251h 26min
