Podcast Episodes

Back to Search
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…


Published on 5 months, 3 weeks ago

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 …


Published on 5 months, 4 weeks ago

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 e…


Published on 6 months ago

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 te…


Published on 6 months ago

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 DPh…


Published on 6 months, 1 week ago

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…


Published on 6 months, 3 weeks ago

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 tr…


Published on 6 months, 3 weeks ago

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 crea…


Published on 6 months, 4 weeks ago

Sepp Hochreiter - LSTM: The Comeback Story?

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,…


Published on 6 months, 4 weeks ago

Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero

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 emer…


Published on 7 months ago





If you like Podbriefly.com, please consider donating to support the ongoing development.

Donate