Best Machine Learning Street Talk Podcasts (2025)

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Superintelligence Strategy (Dan Hendrycks) 1:45:38

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13d ago1:45:38

1:45:38

Deep dive with Dan Hendrycks, a leading AI safety researcher and co-author of the "Superintelligence Strategy" paper with former Google CEO Eric Schmidt and Scale AI CEO Alexandr Wang. *** SPONSOR MESSAGES Gemini CLI is an open-source AI agent that brings the power of Gemini directly into your terminal - https://github.com/google-gemini/gemini-cli …

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NanoConda Founder - Roman Bansal 51:18

1d ago51:18

51:18

Send us a text Roman Bansal is the founder of NanoConda. We discuss growing up in Russia, the joy of reading books, and how NanoConda can help you set up software, API, hardware, and colocation for HFT (high frequency trading) for smaller firms. We also discuss why Dallas, Texas is growing in the quant space as many firms are locating here. NanoCon…

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Quant Insider - Tribhuvan 44:17

8d ago44:17

44:17

Send us a text Tribhuvan Bisen is a co-founder of Quant Insider. We learn about his journey from his education to working at Deutsche and then starting Quant Insider. We also discuss the quant job and education market in India and what it takes to be a quant. Quant Insider: https://quantinsider.io/ https://www.linkedin.com/company/quant-insider/ Tr…

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Ep 345 - Turn Cash Value Into a Money Machine 8:02

19d ago8:02

8:02

Got cash value in your policy? Most people let it sit there… growing slowly. Here’s the smarter play: 💵 Keep it compounding in the policy 📈 Borrow against it to buy appreciating or cash-flowing assets 🏠 Real estate, private notes, equipment leasing, even Bitcoin mining It’s the ultimate double dip — one dollar working in two places at once. Plus, y…

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Ep 344 - The 10% Withdrawal Lie 💸 6:07

19d ago6:07

6:07

Some advisors say you can withdraw 8–10% from retirement funds. The stats say otherwise—only a 3.3% chance it works! We show how to safely take 2–3x more than Wall Street’s 4% rule—tax-free.

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DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter) 58:22

22d ago58:22

58:22

This episode features Shlomi Fuchter and Jack Parker Holder from Google DeepMind, who are unveiling a new AI called Genie 3. The host, Tim Scarfe, describes it as the most mind-blowing technology he has ever seen. We were invited to their offices to conduct the interview (not sponsored).Imagine you could create a video game world just by describing…

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OVVO Labs and Fred Viole 1:06:31

22d ago1:06:31

1:06:31

Send us a text Fred Viole is the founder of OVVO Labs and has been putting together a complete statistical framework using partial moments and nonlinear and nonparametric statistics (NNS). He also has an R package which is free called, NNS. The application of NNS to finance is proprietary and what OVVO Labs uses to sell macroeconomic forecasts, a u…

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Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer) 49:48

27d ago49:48

49:48

Prof. David Krakauer, President of the Santa Fe Institute argues that we are fundamentally confusing knowledge with intelligence, especially when it comes to AI. He defines true intelligence as the ability to do more with less—to solve novel problems with limited information. This is contrasted with current AI models, which he describes as doing le…

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Project Phoenix 18:22

29d ago18:22

18:22

Send us a text Project Phoenix is me re-organizing my life. I got an offer to be a CRO and instead of taking it, I quit my job, sold my honeybees, and decided to run a half marathon. I started my own business called, "Fancy Quant LLC" where I will consult in quant research, risk management, career development, and academic program consulting and ad…

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Ep 343 - What To Do With Cash Value? 8:02

1M ago8:02

8:02

Have cash value building up? Don’t waste it. The wealthy don’t borrow to buy toys. They borrow to build wealth: 🏘️ Real estate: multifamily, office, student housing 📜 Land notes: 10–12% returns ⛏️ Bitcoin mining equipment 📦 E-commerce & gear leasing 🚀 Even your own business All while your policy keeps compounding tax-free. 👊 Use cash value to creat…

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Ep 342 - Retire on 10%? Good Luck! 6:07

1M ago6:07

6:07

Still think you can retire pulling 10% a year from your portfolio? Even Dave Ramsey says it’s possible — but math says otherwise: 💸 10% withdrawal = 3.3% chance your money lasts 📉 $1M portfolio gives you $40K/year (4%) 💀 That’s before taxes Wall Street’s model is broken. The wealthy use tax-free strategies that allow 2–3x more cashflow — with less …

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Mathematician and Quant - Raphael Douady 1:11:09

1M ago1:11:09

1:11:09

Send us a text Raphael Douady is a French mathematician who works in both academia as well as quantitative finance. His specialization is in chaos theory and financial mathematics. In this interview he shares how he got into mathematics and why he left for quantitative finance. We also briefly discuss AI in the finance space as he has a paid semina…

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Pushing compute to the limits of physics 1:23:32

1M ago1:23:32

1:23:32

Dr. Maxwell Ramstead grills Guillaume Verdon (AKA “Beff Jezos”) who's the founder of Thermodynamic computing startup Extropic. Guillaume shares his unique path – from dreaming about space travel as a kid to becoming a physicist, then working on quantum computing at Google, to developing a radically new form of computing hardware for machine learnin…

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Data Bento and Market Data 48:35

1M ago48:35

48:35

Send us a text I sit down with Data Bento's CEO, Christina Qi to discuss how she started Data Bento and why their product of providing data is the best. It turns out there are a lot of features that firms want such as how data is structured, cleaned, and transferred which make a big difference especially in the finance and investing space. Learn mo…

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Quant Community - Season 8 Intro 3:34

2M ago3:34

3:34

Send us a text Welcome to Season 8 of Talking Tuesdays with Fancy Quant! This season I will bring in more guest speakers from the quantitative finance community to talk about data, business, math, stats, and their journey's through life. OVVO Labs is a proud sponsor of Talking Tuesday with Fancy Quant! www.OVVOLabs.com Support the show…

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The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar) 2:16:22

2M ago2:16:22

2:16:22

Are the AI models you use today imposters? Please watch the intro video we did before this: https://www.youtube.com/watch?v=o1q6Hhz0MAg In this episode, hosts Dr. Tim Scarfe and Dr. Duggar are joined by AI researcher Prof. Kenneth Stanley and MIT PhD student Akash Kumar to discuss their fascinating paper, "Questioning Representational Optimism in D…

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The Fractured Entangled Representation Hypothesis (Intro) 15:45

2M ago15:45

15:45

What if today's incredible AI is just a brilliant "impostor"? This episode features host Dr. Tim Scarfe in conversation with guests Prof. Kenneth Stanley (ex-OpenAI), Dr. Keith Duggar (MIT), and Arkash Kumar (MIT).While AI today produces amazing results on the surface, its internal understanding is a complete mess, described as "total spaghetti" [0…

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Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks) 2:07:07

2M ago2:07:07

2:07:07

What if the most powerful technology in human history is being built by people who openly admit they don't trust each other? In this explosive 2-hour debate, three AI experts pull back the curtain on the shocking psychology driving the race to Artificial General Intelligence—and why the people building it might be the biggest threat of all. Kokotaj…

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How AI Learned to Talk and What It Means - Prof. Christopher Summerfield 1:08:28

2M ago1:08:28

1:08:28

We interview Professor Christopher Summerfield from Oxford University about his new book "These Strange New Minds: How AI Learned to Talk and What It". AI learned to understand the world just by reading text - something scientists thought was impossible. You don't need to see a cat to know what one is; you can learn everything from words alone. Thi…

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Ep 341 - STOP Buying Bitcoin the Wrong Way! 16:40

2M ago16:40

16:40

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Ep 340 - Missed $100 BTC? Don’t Miss $100K! 13:21

3M ago13:21

13:21

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Ep 339 - The IRS Doesn’t Want You to Hear This — Ed Lyon Reveals Legal Tax Hacks 44:12

3M ago44:12

44:12

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"Blurring Reality" - Chai's Social AI Platform (SPONSORED) 50:59

3M ago50:59

50:59

"Blurring Reality" - Chai's Social AI Platform - sponsored This episode of MLST explores the groundbreaking work of Chai, a social AI platform that quietly built one of the world's largest AI companion ecosystems before ChatGPT's mainstream adoption. With over 10 million active users and just 13 engineers serving 2 trillion tokens per day, Chai dis…

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Ep 338 - Wall Street Pays $100K. You Could Pay $14K! 9:09

3M ago9:09

9:09

5M ago17:50

17:50

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ARC Prize v2 Launch! (Francois Chollet and Mike Knoop) 54:15

5M ago54:15

54:15

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 that at least 2 humans could solve each task in a reasonable task, but also adversarially selected so that frontier reasoning models can't solve them. The best LLMs today get negligible per…

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Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman) 1:03:36

5M ago1:03:36

1:03:36

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 team, now part of Tufa Labs in Zurich, achieved state-of-the-art results using a combination of pre-training techniques, a unique meta-learning strategy, and an ensemble voting mechanism. Mohamed e…

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GSMSymbolic paper - Iman Mirzadeh (Apple) 1:11:23

5M ago1:11:23

1:11:23

Iman Mirzadeh from Apple, who recently published the GSM-Symbolic paper discusses the crucial distinction between intelligence and achievement in AI systems. He critiques current AI research methodologies, highlighting the limitations of Large Language Models (LLMs) in reasoning and knowledge representation. SPONSOR MESSAGES: *** Tufa AI Labs is a …

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Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere) 1:23:11

5M ago1:23:11

1:23:11

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 AI development, model training challenges, and the limitations of human feedback mechanisms. The conversation also covers technical aspects like influ…

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Tau Language: The Software Synthesis Future (sponsored) 1:41:19

6M ago1:41:19

1:41:19

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 and blockchain tech. Asor argues that machine learning cannot guarantee correctness. Tau allows logical specification of software requirements, automat…

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John Palazza - Vice President of Global Sales @ CentML ( sponsored) 54:50

6M ago54:50

54:50

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 enterprises can transition from the innovation phase to production and scale, highlighting the significance of efficient GPU utilization and cost manage…

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Transformers Need Glasses! - Federico Barbero 1:00:54

6M ago1:00:54

1:00:54

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 text? We break down the theoretical reasons behind these failures, revealing architectural bottlenecks and the challenges of maintaining information fide…

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Ep 334 - The Future of Tokenization & Digital Assets Explained: Sovereign Wealth Fund Institute Event 8:23

6M ago8:23

8:23

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Ep 333 - How Much Can You Make Mining Bitcoin?: Bitcoin Technical Analysis 6:41

6M ago6:41

6:41

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Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu 1:37:54

6M ago1:37:54

1:37:54

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 DPhil at Oxford University under Prof. Jakob Foerster's supervision, where he focused on meta-learning and multi-agent systems. Chris is the first author…

6M ago11:05

11:05

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Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners 1:09:04

7M ago1:09:04

1:09:04

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 creatively utilising large language models (LLMs) in new ways. Discover their innovative techniques, including depth-first search for token selection, test…

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Sepp Hochreiter - LSTM: The Comeback Story? 1:07:01

7M ago1:07:01

1:07:01

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, could be the next big thing in AI, particularly for applications like robotics and industrial simulation. He also shares his controversial perspective…

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Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero 1:18:10

7M ago1:18:10

1:18:10

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 emergence of adversarial robustness in neural networks ("grokking"), geometric interpretations of neural networks via spline theory, and challenges in reco…