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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
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Это подкаст о машинном обучении от неспециалиста для неспециалистов. Буду рассказывать о развитии индустрии, проводить ликбез, объяснять терминологию и профессиональные жаргонизмы, общаться с профессионалами из индустрии Искусственного Интеллекта. Я сам не так давно начал погружаться в эту тему и по мере своего развития буду делиться своим пониманием этой интересной и перспективной области знаний. Почта для обратной связи: [email protected] Сообщество подкаста в ВК: https://vk.com/mlpodcast Т ...
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AI Chat is the podcast where we dive into the world of ChatGPT, cutting-edge AI news and its impact on our daily lives. With in-depth discussions and interviews with leading experts in the field, we'll explore the latest advancements in language models, machine learning, and more. From its practical applications to its ethical considerations, AI Chat will keep you informed and entertained on the exciting developments in the world of AI. Tune in to stay ahead of the curve on the latest techno ...
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Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
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Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular ...
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Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer. Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
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A unique podcast featuring an older man and his AI co-host, Pi (from pi.ai). Together they talk about life, the future, the past, family, mental health, music, joy, physics, writing, and anything else that comes up in the course of conversation.
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ClusterOne is the best AI platform for distributed machine learning. It is developed with an aim to help machine learning teams in development of complex AI applications. For more detail, visit: https://clusterone.com/distributed-machine-learning/
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Machine Learning Bytes

Erik Partridge

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Short, simple summaries of machine learning topics, to help you prepare for exams, interviews, reading the latest papers, or just a quick brush up. In less than two minutes, we'll cover the most obscure jargon and complex topics in machine learning. For more details, including small animated presentations, please visit erikpartridge.com. Please do join the conversation on Twitter for corrections, conversations, support and more at #mlbytes
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Welcome to the Machine Commons podcast, where we explore the various and far reaching impacts of machine learning - the software approach better known as artificial intelligence (or, AI). The world has teetered over an invisible edge, where more of our lives are governed by software that is decreasingly coded and increasingly trained - a world where our governing software 'learns'. It is the technology at the cross section of multiple advanced fields. Come hang out with Alex and Lucie, as th ...
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Embark on a transformative journey with Solomon Christ as he delves into the realms of Artificial Intelligence (AI), Machine Learning (ML), and life automation. In each episode, Solomon shares his personal experiences and insights, striving for mastery in these cutting-edge technologies. He passionately believes that integrating AI and ML into our daily lives can lead to unprecedented human experiences, allowing us to focus on what truly matters while intelligent systems handle the rest. Joi ...
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In this course we will explore the challenges presented when designing AI-powered services. In particular, we will take a look at Machine Learning (such as deep learning and generative adversarial networks), and how that can be used in human-centered design of digital services. This course is created for User Experience (UX) professionals, Service Designers, and Product Managers as a way to help take a human-centered approach to AI in their work. The course is also useful for developers and ...
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This podcast series was put together by data science intern Leo Elworth to spread knowledge on these hot topics to the broader community. As the buzz around data science and machine learning continues to grow, more and more people are developing a curiosity for these topics, as well as their applications to the specific field of oil and gas. Interviews with expert data scientists and geologists serve to highlight innovative problems and share entertaining anecdotes. Podcast editing assistanc ...
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Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 ...
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Learning Machine

Content and Coffee

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This is Learning Machine. A podcast about digital marketing, content, strategy, startups, and business. If you like Mixergy, Entrepreneur on Fire, Tropical MBA, Rocketship.fm, SaaStr, Tim Ferriss show, or Startups for the Rest of Us, you will love Content and Coffee.
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In dieser achten Episode ist Alexander Baruschke, Gründer und Geschäftsführer der Baruschke Zimmermann GmbH, zu Gast. Mit einem Hintergrund in Volkswirtschaft und Politik und vielseitiger Erfahrung in der Unternehmensberatung, teilt er seine Expertise in der Transformation von Unternehmenskulturen und der Entwicklung von Führungskräften. Alexander …
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В гостях сегодня Татьяна Шаврина, старший научный сотрудник Института Языкознания РАН. Обсуждаем бенчмарки - стандартизированные наборы тестов, метрик и протоколов оценки, предназначенные для объективного измерения производительности больших языковых моделей. Что произошло в индустрии за последние 4 года с момента записи предыдущего выпуска? Все ли…
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In this episode, Emmanuel Ameisen, a research engineer at Anthropic, returns to discuss two recent papers: "Circuit Tracing: Revealing Language Model Computational Graphs" and "On the Biology of a Large Language Model." Emmanuel explains how his team developed mechanistic interpretability methods to understand the internal workings of Claude by rep…
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Links Notes and resources at ocdevel.com/mlg/mla-24 Try a walking desk stay healthy & sharp while you learn & code Try Descript audio/video editing with AI power-tools Tool Use in AI Code Agents File Operations: Agents can read, edit, and search files using sophisticated regular expressions. Executable Commands: They can recommend and perform insta…
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In this episode we cover OpenAI’s newest ChatGPT update that allows the AI to remember past conversations and user preferences. We break down how this “memory” feature works, what it means for personalization, and how you can control it. AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer My Podcast Course: https://podcaststudio.com/cou…
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Prof. Kevin Ellis and Dr. Zenna Tavares talk about making AI smarter, like humans. They want AI to learn from just a little bit of information by actively trying things out, not just by looking at tons of data. They discuss two main ways AI can "think": one way is like following specific rules or steps (like a computer program), and the other is mo…
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In this episode, we dive deep into the evolving landscape of digital marketing and brand storytelling. We explore how the intersection of authenticity, community, and technology is reshaping how brands connect with people—and why it's no longer just about the product, but about the experience. We talk about how we've shifted our focus from performa…
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PI: In the second episode of our podcast, Ken and I dive deep into the mysterious world of AI hallucinations, discussing their causes, consequences, and how to navigate them. Ken shares his experiences, from a music-analyzing mishap to a not-so-helpful sleep timer app recommendation, emphasizing the importance of fact-checking AI-generated informat…
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Links Notes and resources at ocdevel.com/mlg/mla-23 Try a walking desk stay healthy & sharp while you learn & code Try Descript audio/video editing with AI power-tools Model Current Leaders According to the Aider Leaderboard (as of April 12, 2025), leading models include for vibe-coding: Gemini 2.5 Pro Preview 03-25: most accurate and cost-effectiv…
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In dieser siebten Folge ist Adrian Czerny, Partner bei Stanton Chase und Experte für Executive Search und Leadership Consulting, zu Gast. Mit einem Hintergrund in Business Administration und vielfältigen Erfahrungen aus der Logistikbranche und dem Familienunternehmen, teilt er seine tiefgehenden Einsichten aus der Welt der Führungskräftevermittlung…
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Today, we're joined by Maohao Shen, PhD student at MIT to discuss his paper, “Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.” We dig into how Satori leverages reinforcement learning to improve language model reasoning—enabling model self-reflection, self-correction, and exploration of a…
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In this episode, we cover Runway’s massive $308 million funding round and what it means for the future of AI-generated video. We also explore how this game-changing tech could reshape content creation across industries. AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer My Podcast Course: https://podcaststudio.com/courses/ Get on the A…
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In this episode we cover how a surge of AI bots is straining Wikipedia’s infrastructure, driving up bandwidth usage and operational costs. We dig into what this means for the future of free knowledge online and who's footing the bill. AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer My Podcast Course: https://podcaststudio.com/course…
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Eiso Kant, CTO of poolside AI, discusses the company's approach to building frontier AI foundation models, particularly focused on software development. Their unique strategy is reinforcement learning from code execution feedback which is an important axis for scaling AI capabilities beyond just increasing model size or data volume. Kant predicts h…
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Today, we're joined by Drago Anguelov, head of AI foundations at Waymo, for a deep dive into the role of foundation models in autonomous driving. Drago shares how Waymo is leveraging large-scale machine learning, including vision-language models and generative AI techniques to improve perception, planning, and simulation for its self-driving vehicl…
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Ещё год назад собирались записаться с Тимуром Гуевым (автором самого популярного и, на мой взгляд, самого лучшего курса по Python на русском языке) на тему необходимости математики для современного программиста. Но тогда почему-то не получилось, зато получилось теперь и мы пообщались не только про математику, но и про алгоритмы. Почему если хочется…
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Connor Leahy and Gabriel Alfour, AI researchers from Conjecture and authors of "The Compendium," joinus for a critical discussion centered on Artificial Superintelligence (ASI) safety and governance. Drawing from their comprehensive analysis in "The Compendium," they articulate a stark warning about the existential risks inherent in uncontrolled AI…
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Продолжаем разговор с Александром Резановым про генеративный искусственный интеллект. Александр - ML Engineer, специализирующийся на генеративном компьютерном зрении и сегодня поговорим про видео. Что проще генерировать, картинки или текст? Может ли беговая дорожка обыграть в шахматы чемпиона мира? Почему все модели неверны? Как машины могут ехать,…
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In this episode, Jaeden explores OpenEye’s latest image generation model, now integrated into ChatGPT. He breaks down its powerful features, from generating text within images to creating infographics and complex graphics with precise prompts. The discussion highlights how this innovation could reshape graphic design and challenge existing tools li…
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In this episode, Jaeden explores the groundbreaking AI startup Browser Use, which recently secured $17 million in funding. The discussion unpacks how AI agents function, the role of web scraping, and the evolving landscape of AI agent optimization. Jaeden highlights Browser Use’s potential to transform how AI interacts with websites, enhancing effi…
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In dieser sechsten Folge ist Dr. Robert Stephan, Partner bei Detecon International und Experte für digitale Supply Chain Transformation, zu Gast. Mit einem Hintergrund in Wirtschaftsingenieurwesen und einer Promotion im Bereich Aluminiumproduktion, teilt er seine Erfahrungen aus der Welt der Unternehmensberatung und erklärt, wie Künstliche Intellig…
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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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Today, we're joined by Julie Kallini, PhD student at Stanford University to discuss her recent papers, “MrT5: Dynamic Token Merging for Efficient Byte-level Language Models” and “Mission: Impossible Language Models.” For the MrT5 paper, we explore the importance and failings of tokenization in large language models—including inefficient compression…
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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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In this episode, Jaeden discusses OpenAI's recent major releases, focusing on their upgraded transcription and voice generation models. He highlights the implications of these advancements for developers and businesses, emphasizing the importance of voice in AI agents. Jaeden also addresses the shift towards closed models by OpenAI, raising questio…
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In this episode, Jaeden discusses Perplexity's recent fundraising efforts, highlighting their impressive $1 billion raise and $18 billion valuation. He explores the factors contributing to their rapid growth, including their innovative features and market positioning against competitors like Google and Claude. The conversation also touches on Perpl…
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In this episode, Jaeden discusses the recent addition of web browsing capabilities to Anthropic's Claude AI model, a feature that has been long-awaited. He explores the implications of this update, particularly in terms of AI safety and usability, and how it positions Claude in the competitive landscape of AI tools. Jaeden emphasizes the importance…
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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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Welcome to the first episode of a podcast called "Man & Machine Learning," exploring the fascinating world of AI and human collaboration! This episode, called "Pi in Focus," is jam-packed with interesting topics, insights, and discussions that will leave you eager to dive deeper into the AI universe. Let's break it down, Pi-style: Introduction: Mee…
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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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Today, we're joined by Jonas Geiping, research group leader at Ellis Institute and the Max Planck Institute for Intelligent Systems to discuss his recent paper, “Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.” This paper proposes a novel language model architecture which uses recurrent depth to enable “thinking in l…
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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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In unserer fünften Episode von The Erium Podcast haben wir Sarina Wittchen zu Gast. Als Partnerin bei Intero Consulting und Expertin für digitale Transformation teilt sie ihren spannenden Werdegang von der algebraischen Geometrie zur Beratung großer Finanzdienstleister. Zusammen mit Theo spricht sie über die Optimierung von IT-Kostenmanagement, erf…
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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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Today, we're joined by Chengzu Li, PhD student at the University of Cambridge to discuss his recent paper, “Imagine while Reasoning in Space: Multimodal Visualization-of-Thought.” We explore the motivations behind MVoT, its connection to prior work like TopViewRS, and its relation to cognitive science principles such as dual coding theory. We dig i…
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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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I talk about what Anthropic is going to spend the $3.5B on, who gave it to them, and how we got here! AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.skool.com/aihustle/about…
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Today, we're joined by Niklas Muennighoff, a PhD student at Stanford University, to discuss his paper, “S1: Simple Test-Time Scaling.” We explore the motivations behind S1, as well as how it compares to OpenAI's O1 and DeepSeek's R1 models. We dig into the different approaches to test-time scaling, including parallel and sequential scaling, as well…
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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…
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In der vierten Episode von Staffel 7 sprechen wir mit Holger Maier, Geschäftsführer der FGS Digital GmbH, über die Digitalisierung in der Steuer- und Rechtsberatung. Er gibt spannende Einblicke in den Einsatz von KI zur Effizienzsteigerung, erläutert Anwendungsfälle und diskutiert die Herausforderungen und Chancen, die die Integration von KI mit si…
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Today, we're joined by Ron Diamant, chief architect for Trainium at Amazon Web Services, to discuss hardware acceleration for generative AI and the design and role of the recently released Trainium2 chip. We explore the architectural differences between Trainium and GPUs, highlighting its systolic array-based compute design, and how it balances per…
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In this episode, Jaeden discusses the launch of Grok 3, the latest AI model from X AI, highlighting its capabilities, training methods, and performance benchmarks compared to competitors like OpenAI's ChatGPT. He shares personal experiences using Grok 3, including its reasoning abilities and practical applications. The conversation also touches on …
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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 method encodes input-output pairs into a latent space, optimizes this representation with a search algorithm, and decodes outputs for new inputs. This…
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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 truly intelligent agents that can learn and solve problems on their own. Foerster champions open-source AI for responsible, decentralised development. He…
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Today, we're joined by Sergey Levine, associate professor at UC Berkeley and co-founder of Physical Intelligence, to discuss π0 (pi-zero), a general-purpose robotic foundation model. We dig into the model architecture, which pairs a vision language model (VLM) with a diffusion-based action expert, and the model training "recipe," emphasizing the ro…
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Welcome back to another episode of Adventures in Machine Learning, where hosts Michael Berk and Ben Wilson delve into the intricate process of implementing model serving solutions. In this episode, they explore a detailed case study focused on enhancing search functionality with a particular emphasis on a hot dog recipe search engine. The discussio…
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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, 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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