Cele mai bune Machine Learning (ml podcast-uri (2024)

1
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders) 3:42:36

4d ago3:42:36

3:42:36

Neel Nanda, a senior research scientist at Google DeepMind, leads their mechanistic interpretability team. In this extensive interview, he discusses his work trying to understand how neural networks function internally. At just 25 years old, Nanda has quickly become a prominent voice in AI research after completing his pure mathematics degree at Ca…

1
Jonas Hübotter (ETH) - Test Time Inference 1:45:56

10d ago1:45:56

1:45:56

Jonas Hübotter, PhD student at ETH Zurich's Institute for Machine Learning, discusses his groundbreaking research on test-time computation and local learning. He demonstrates how smaller models can outperform larger ones by 30x through strategic test-time computation and introduces a novel paradigm combining inductive and transductive learning appr…

1
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri) 1:44:42

16d ago1:44:42

1:44:42

Professor Swarat Chaudhuri from the University of Texas at Austin and visiting researcher at Google DeepMind discusses breakthroughs in AI reasoning, theorem proving, and mathematical discovery. Chaudhuri explains his groundbreaking work on COPRA (a GPT-based prover agent), shares insights on neurosymbolic approaches to AI. Professor Swarat Chaudhu…

1
Nora Belrose - AI Development, Safety, and Meaning 2:29:50

24d ago2:29:50

2:29:50

Nora Belrose, Head of Interpretability Research at EleutherAI, discusses critical challenges in AI safety and development. The conversation begins with her technical work on concept erasure in neural networks through LEACE (LEAst-squares Concept Erasure), while highlighting how neural networks' progression from simple to complex learning patterns c…

1
Why Your GPUs are underutilised for AI - CentML CEO Explains 2:08:40

28d ago2:08:40

2:08:40

Prof. Gennady Pekhimenko (CEO of CentML, UofT) joins us in this *sponsored episode* to dive deep into AI system optimization and enterprise implementation. From NVIDIA's technical leadership model to the rise of open-source AI, Pekhimenko shares insights on bridging the gap between academic research and industrial applications. Learn about "dark si…

1
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk 4:18:30

30d ago4:18:30

4:18:30

Eliezer Yudkowsky and Stephen Wolfram discuss artificial intelligence and its potential existen‑ tial risks. They traversed fundamental questions about AI safety, consciousness, computational irreducibility, and the nature of intelligence. The discourse centered on Yudkowsky’s argument that advanced AI systems pose an existential threat to humanity…

1
Pattern Recognition vs True Intelligence - Francois Chollet 2:42:54

1M ago2:42:54

2:42:54

Francois Chollet, a prominent AI expert and creator of ARC-AGI, discusses intelligence, consciousness, and artificial intelligence. Chollet explains that real intelligence isn't about memorizing information or having lots of knowledge - it's about being able to handle new situations effectively. This is why he believes current large language models…

1
The Elegant Math Behind Machine Learning - Anil Ananthaswamy 1:53:11

1M ago1:53:11

1:53:11

Anil Ananthaswamy is an award-winning science writer and former staff writer and deputy news editor for the London-based New Scientist magazine. Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and…

1
Michael Levin - Why Intelligence Isn't Limited To Brains. 1:03:35

2M ago1:03:35

1:03:35

Professor Michael Levin explores the revolutionary concept of diverse intelligence, demonstrating how cognitive capabilities extend far beyond traditional brain-based intelligence. Drawing from his groundbreaking research, he explains how even simple biological systems like gene regulatory networks exhibit learning, memory, and problem-solving abil…

1
Speechmatics CTO - Next-Generation Speech Recognition 1:46:23

2M ago1:46:23

1:46:23

Will Williams is CTO of Speechmatics in Cambridge. In this sponsored episode - he shares deep technical insights into modern speech recognition technology and system architecture. The episode covers several key technical areas: * Speechmatics' hybrid approach to ASR, which focusses on unsupervised learning methods, achieving comparable results with…

1
Dr. Sanjeev Namjoshi - Active Inference 2:45:32

2M ago2:45:32

2:45:32

Dr. Sanjeev Namjoshi, a machine learning engineer who recently submitted a book on Active Inference to MIT Press, discusses the theoretical foundations and practical applications of Active Inference, the Free Energy Principle (FEP), and Bayesian mechanics. He explains how these frameworks describe how biological and artificial systems maintain stab…

1
Joscha Bach - Why Your Thoughts Aren't Yours. 1:52:45

2M ago1:52:45

1:52:45

Dr. Joscha Bach discusses advanced AI, consciousness, and cognitive modeling. He presents consciousness as a virtual property emerging from self-organizing software patterns, challenging panpsychism and materialism. Bach introduces "Cyberanima," reinterpreting animism through information processing, viewing spirits as self-organizing software agent…

1
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini 51:34

2M ago51:34

51:34

Alessandro Palmarini is a post-baccalaureate researcher at the Santa Fe Institute working under the supervision of Melanie Mitchell. He completed his undergraduate degree in Artificial Intelligence and Computer Science at the University of Edinburgh. Palmarini's current research focuses on developing AI systems that can efficiently acquire new skil…

1
It's Not About Scale, It's About Abstraction - Francois Chollet 46:21

2M ago46:21

46:21

François Chollet discusses the limitations of Large Language Models (LLMs) and proposes a new approach to advancing artificial intelligence. He argues that current AI systems excel at pattern recognition but struggle with logical reasoning and true generalization. This was Chollet's keynote talk at AGI-24, filmed in high-quality. We will be releasi…

1
Bold AI Predictions From Cohere Co-founder 47:17

2M ago47:17

47:17

Ivan Zhang, co-founder of Cohere, discusses the company's enterprise-focused AI solutions. He explains Cohere's early emphasis on embedding technology and training models for secure environments. Zhang highlights their implementation of Retrieval-Augmented Generation in healthcare, significantly reducing doctor preparation time. He explores the shi…

1
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel 55:10

2M ago55:10

55:10

Prof. Tim Rocktäschel, AI researcher at UCL and Google DeepMind, talks about open-ended AI systems. These systems aim to keep learning and improving on their own, like evolution does in nature. Ad: Are you a hardcore ML engineer who wants to work for Daniel Cahn at SlingshotAI building AI for mental health? Give him an email! - danielc@slingshot.xy…

1
Ben Goertzel on "Superintelligence" 1:37:18

2M ago1:37:18

1:37:18

Ben Goertzel discusses AGI development, transhumanism, and the potential societal impacts of superintelligent AI. He predicts human-level AGI by 2029 and argues that the transition to superintelligence could happen within a few years after. Goertzel explores the challenges of AI regulation, the limitations of current language models, and the need f…

1
Taming Silicon Valley - Prof. Gary Marcus 1:56:55

3M ago1:56:55

1:56:55

AI expert Prof. Gary Marcus doesn't mince words about today's artificial intelligence. He argues that despite the buzz, chatbots like ChatGPT aren't as smart as they seem and could cause real problems if we're not careful. Marcus is worried about tech companies putting profits before people. He thinks AI could make fake news and privacy issues even…

1
Prof. Mark Solms - The Hidden Spring 1:26:45

3M ago1:26:45

1:26:45

Prof. Mark Solms, a neuroscientist and psychoanalyst, discusses his groundbreaking work on consciousness, challenging conventional cortex-centric views and emphasizing the role of brainstem structures in generating consciousness and affect. MLST is sponsored by Brave: The Brave Search API covers over 20 billion webpages, built from scratch without …

1
Patrick Lewis (Cohere) - Retrieval Augmented Generation 1:13:46

3M ago1:13:46

1:13:46

Dr. Patrick Lewis, who coined the term RAG (Retrieval Augmented Generation) and now works at Cohere, discusses the evolution of language models, RAG systems, and challenges in AI evaluation. MLST is sponsored by Brave: The Brave Search API covers over 20 billion webpages, built from scratch without Big Tech biases or the recent extortionate price h…

1
Ashley Edwards - Genie Paper (DeepMind/Runway) 25:04

3M ago25:04

25:04

Ashley Edwards, who was working at DeepMind when she co-authored the Genie paper and is now at Runway, covered several key aspects of the Genie AI system and its applications in video generation, robotics, and game creation. MLST is sponsored by Brave: The Brave Search API covers over 20 billion webpages, built from scratch without Big Tech biases …

1
Cohere's SVP Technology - Saurabh Baji 1:30:25

3M ago1:30:25

1:30:25

Saurabh Baji discusses Cohere's approach to developing and deploying large language models (LLMs) for enterprise use. * Cohere focuses on pragmatic, efficient models tailored for business applications rather than pursuing the largest possible models. * They offer flexible deployment options, from cloud services to on-premises installations, to meet…

1
David Hanson's Vision for Sentient Robots 53:14

3M ago53:14

53:14

David Hanson, CEO of Hanson Robotics and creator of the humanoid robot Sofia, explores the intersection of artificial intelligence, ethics, and human potential. In this thought-provoking interview, Hanson discusses his vision for developing AI systems that embody the best aspects of humanity while pushing beyond our current limitations, aiming to a…

1
The Fabric of Knowledge - David Spivak 46:28

3M ago46:28

46:28

David Spivak, a mathematician known for his work in category theory, discusses a wide range of topics related to intelligence, creativity, and the nature of knowledge. He explains category theory in simple terms and explores how it relates to understanding complex systems and relationships. MLST is sponsored by Brave: The Brave Search API covers ov…

1
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs 1:39:39

3M ago1:39:39

1:39:39

Jürgen Schmidhuber, the father of generative AI shares his groundbreaking work in deep learning and artificial intelligence. In this exclusive interview, he discusses the history of AI, some of his contributions to the field, and his vision for the future of intelligent machines. Schmidhuber offers unique insights into the exponential growth of tec…

1
"AI should NOT be regulated at all!" - Prof. Pedro Domingos 2:12:15

4M ago2:12:15

2:12:15

Professor Pedro Domingos, is an AI researcher and professor of computer science. He expresses skepticism about current AI regulation efforts and argues for faster AI development rather than slowing it down. He also discusses the need for new innovations to fulfil the promises of current AI techniques. MLST is sponsored by Brave: The Brave Search AP…

1
Adversarial Examples and Data Modelling - Andrew Ilyas (MIT) 1:28:00

4M ago1:28:00

1:28:00

Andrew Ilyas, a PhD student at MIT who is about to start as a professor at CMU. We discuss Data modeling and understanding how datasets influence model predictions, Adversarial examples in machine learning and why they occur, Robustness in machine learning models, Black box attacks on machine learning systems, Biases in data collection and dataset …

1
Joscha Bach - AGI24 Keynote (Cyberanimism) 57:21

4M ago57:21

57:21

Dr. Joscha Bach introduces a surprising idea called "cyber animism" in his AGI-24 talk - the notion that nature might be full of self-organizing software agents, similar to the spirits in ancient belief systems. Bach suggests that consciousness could be a kind of software running on our brains, and wonders if similar "programs" might exist in plant…

1
Gary Marcus' keynote at AGI-24 1:12:16

4M ago1:12:16

1:12:16

Prof Gary Marcus revisited his keynote from AGI-21, noting that many of the issues he highlighted then are still relevant today despite significant advances in AI. MLST is sponsored by Brave: The Brave Search API covers over 20 billion webpages, built from scratch without Big Tech biases or the recent extortionate price hikes on search API access. …

1
Is ChatGPT an N-gram model on steroids? 32:57

4M ago32:57

32:57

DeepMind Research Scientist / MIT scholar Dr. Timothy Nguyen discusses his recent paper on understanding transformers through n-gram statistics. Nguyen explains his approach to analyzing transformer behavior using a kind of "template matching" (N-grams), providing insights into how these models process and predict language. MLST is sponsored by Bra…

1
Jay Alammar on LLMs, RAG, and AI Engineering 57:28

4M ago57:28

57:28

Jay Alammar, renowned AI educator and researcher at Cohere, discusses the latest developments in large language models (LLMs) and their applications in industry. Jay shares his expertise on retrieval augmented generation (RAG), semantic search, and the future of AI architectures. MLST is sponsored by Brave: The Brave Search API covers over 20 billi…

1
Can AI therapy be more effective than drugs? 2:14:07

4M ago2:14:07

2:14:07

Daniel Cahn, co-founder of Slingshot AI, on the potential of AI in therapy. Why is anxiety and depression affecting a large population? To what extent are these real categories? Why is the mental health getting worse? How often do you want an AI to agree with you? What are the ethics of persuasive AI? You will discover all in this conversation. MLS…

1
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13) 1:42:27

4M ago1:42:27

1:42:27

Prof. Subbarao Kambhampati argues that while LLMs are impressive and useful tools, especially for creative tasks, they have fundamental limitations in logical reasoning and cannot provide guarantees about the correctness of their outputs. He advocates for hybrid approaches that combine LLMs with external verification systems. MLST is sponsored by B…

1
Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13) 49:42

5M ago49:42

49:42

How seriously should governments take the threat of existential risk from AI, given the lack of consensus among researchers? On the one hand, existential risks (x-risks) are necessarily somewhat speculative: by the time there is concrete evidence, it may be too late. On the other hand, governments must prioritize — after all, they don’t worry too m…

1
Sara Hooker - Why US AI Act Compute Thresholds Are Misguided 1:05:41

5M ago1:05:41

1:05:41

Sara Hooker is VP of Research at Cohere and leader of Cohere for AI. We discuss her recent paper critiquing the use of compute thresholds, measured in FLOPs (floating point operations), as an AI governance strategy. We explore why this approach, recently adopted in both US and EU AI policies, may be problematic and oversimplified. Sara explains the…

1
Prof. Murray Shanahan - Machines Don't Think Like Us 2:15:22

5M ago2:15:22

2:15:22

Murray Shanahan is a professor of Cognitive Robotics at Imperial College London and a senior research scientist at DeepMind. He challenges our assumptions about AI consciousness and urges us to rethink how we talk about machine intelligence. We explore the dangers of anthropomorphizing AI, the limitations of current language in describing AI capabi…

1
David Chalmers - Reality+ 1:17:57

5M ago1:17:57

1:17:57

In the coming decades, the technology that enables virtual and augmented reality will improve beyond recognition. Within a century, world-renowned philosopher David J. Chalmers predicts, we will have virtual worlds that are impossible to distinguish from non-virtual worlds. But is virtual reality just escapism? In a highly original work of 'technop…

1
Ryan Greenblatt - Solving ARC with GPT4o 2:18:01

5M ago2:18:01

2:18:01

Ryan Greenblatt from Redwood Research recently published "Getting 50% on ARC-AGI with GPT-4.0," where he used GPT4o to reach a state-of-the-art accuracy on Francois Chollet's ARC Challenge by generating many Python programs. Sponsor: Sign up to Kalshi here https://kalshi.onelink.me/1r91/mlst -- the first 500 traders who deposit $100 will get a free…

1
Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning) 1:00:22

5M ago1:00:22

1:00:22

Aidan Gomez, CEO of Cohere, reveals how they're tackling AI hallucinations and improving reasoning abilities. He also explains why Cohere doesn't use any output from GPT-4 for training their models. Aidan shares his personal insights into the world of AI and LLMs and Cohere's unique approach to solving real-world business problems, and how their mo…

1
New "50%" ARC result and current winners interviewed 2:14:17

6M ago2:14:17

2:14:17

The ARC Challenge, created by Francois Chollet, tests how well AI systems can generalize from a few examples in a grid-based intelligence test. We interview the current winners of the ARC Challenge—Jack Cole, Mohammed Osman and their collaborator Michael Hodel. They discuss how they tackled ARC (Abstraction and Reasoning Corpus) using language mode…

1
Cohere co-founder Nick Frosst on building LLM apps for business 41:25

6M ago41:25

41:25

Nick Frosst, co-founder of Cohere, on the future of LLMs, and AGI. Learn how Cohere is solving real problems for business with their new AI models. This is the first podcast from our new Cohere partnership! Nick talks about his journey at Google Brain, working with AI legends like Geoff Hinton, and the amazing things his company, Cohere, is doing. …

1
What’s the Magic Word? A Control Theory of LLM Prompting. 1:17:07

6M ago1:17:07

1:17:07

These two scientists have mapped out the insides or “reachable space” of a language model using control theory, what they discovered was extremely surprising. Please support us on Patreon to get access to the private Discord server, bi-weekly calls, early access and ad-free listening. https://patreon.com/mlst YT version: https://youtu.be/Bpgloy1dDn…

1
CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina 2:31:33

7M ago2:31:33

2:31:33

Maria Santacaterina, with her background in the humanities, brings a critical perspective on the current state and future implications of AI technology, its impact on society, and the nature of human intelligence and creativity. She emphasizes that despite technological advancements, AI lacks fundamental human traits such as consciousness, empathy,…

1
Dr. Thomas Parr - Active Inference Book 1:37:09

7M ago1:37:09

1:37:09

Thomas Parr and his collaborators wrote a book titled "Active Inference: The Free Energy Principle in Mind, Brain and Behavior" which introduces Active Inference from both a high-level conceptual perspective and a low-level mechanistic, mathematical perspective. Active inference, developed by the legendary neuroscientist Prof. Karl Friston - is a u…

1
Connor Leahy - e/acc, AGI and the future. 1:19:34

8M ago1:19:34

1:19:34

Connor is the CEO of Conjecture and one of the most famous names in the AI alignment movement. This is the "behind the scenes footage" and bonus Patreon interviews from the day of the Beff Jezos debate, including an interview with Daniel Clothiaux. It's a great insight into Connor's philosophy. At the end there is an unreleased additional interview…

1
Prof. Chris Bishop's NEW Deep Learning Textbook! 1:22:59

8M ago1:22:59

1:22:59

Professor Chris Bishop is a Technical Fellow and Director at Microsoft Research AI4Science, in Cambridge. He is also Honorary Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was elected Fellow of the Royal Academy of Engineering, in 2007 he was elected Fellow of the Royal Society …

1
Philip Ball - How Life Works 2:09:17

8M ago2:09:17

2:09:17

Dr. Philip Ball is a freelance science writer. He just wrote a book called "How Life Works", discussing the how the science of Biology has advanced in the last 20 years. We focus on the concept of Agency in particular. He trained as a chemist at the University of Oxford, and as a physicist at the University of Bristol. He worked previously at Natur…

1
Dr. Paul Lessard - Categorical/Structured Deep Learning 1:49:10

8M ago1:49:10

1:49:10

Dr. Paul Lessard and his collaborators have written a paper on "Categorical Deep Learning and Algebraic Theory of Architectures". They aim to make neural networks more interpretable, composable and amenable to formal reasoning. The key is mathematical abstraction, as exemplified by category theory - using monads to develop a more principled, algebr…

1
Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter 1:57:11

9M ago1:57:11

1:57:11

Dr. Minqi Jiang and Dr. Marc Rigter explain an innovative new method to make the intelligence of agents more general-purpose by training them to learn many worlds before their usual goal-directed training, which we call "reinforcement learning". Their new paper is called "Reward-free curricula for training robust world models" https://arxiv.org/pdf…

1
Prof. Nick Chater - The Language Game (Part 1) 1:43:46

9M ago1:43:46

1:43:46

Nick Chater is Professor of Behavioural Science at Warwick Business School, who works on rationality and language using a range of theoretical and experimental approaches. We discuss his books The Mind is Flat, and the Language Game. Please support me on Patreon (this is now my main job!) - https://patreon.com/mlst - Access the private Discord, net…

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