The Gradient: Perspectives on AI
By The Gradient
Listen to a podcast, please open Podcast Republic app. Available on Google Play Store and Apple App Store.
Image by The Gradient
Category: Technology
Open in Apple Podcasts
Open RSS feed
Open Website
Rate for this podcast
Subscribers: 68
Reviews: 1
Episodes: 121
andreio
Aug 28, 2023
Great source to stay on top of the AI world. keep up the good work
Description
Deeply researched, technical interviews with experts thinking about AI and technology.
thegradientpub.substack.com
thegradientpub.substack.com
| Episode | Date |
|---|---|
|
Sasha Luccioni: Connecting the Dots Between AI's Environmental and Social Impacts
|
Apr 18, 2024 |
|
Michael Sipser: Problems in the Theory of Computation
|
Apr 11, 2024 |
|
Andrew Lee: How AI will Shape the Future of Email
|
Apr 04, 2024 |
|
Joss Fong: Videomaking, AI, and Science Communication
|
Mar 28, 2024 |
|
Kate Park: Data Engines for Vision and Language
|
Mar 21, 2024 |
|
Ben Wellington: ML for Finance and Storytelling through Data
|
Mar 14, 2024 |
|
Venkatesh Rao: Protocols, Intelligence, and Scaling
|
Mar 07, 2024 |
|
Sasha Rush: Building Better NLP Systems
|
Feb 29, 2024 |
|
Cameron Jones & Sean Trott: Understanding, Grounding, and Reference in LLMs
|
Feb 22, 2024 |
|
Nicholas Thompson: AI and Journalism
|
Feb 15, 2024 |
|
Subbarao Kambhampati: Planning, Reasoning, and Interpretability in the Age of LLMs
|
Feb 08, 2024 |
|
Russ Maschmeyer: Spatial Commerce and AI in Retail
|
Feb 01, 2024 |
|
Benjamin Breen: The Intersecting Histories of Psychedelics and AI Research
|
Jan 25, 2024 |
|
Ted Gibson: The Structure and Purpose of Language
|
Jan 18, 2024 |
|
Harvey Lederman: Propositional Attitudes and Reference in Language Models
|
Jan 11, 2024 |
|
Eric Jang: AI is Good For You
|
Jan 04, 2024 |
|
2023 in AI, with Nathan Benaich
|
Dec 28, 2023 |
|
Kathleen Fisher: DARPA and AI for National Security
|
Dec 21, 2023 |
|
Peter Tse: The Neuroscience of Consciousness and Free Will
|
Dec 14, 2023 |
|
Vera Liao: AI Explainability and Transparency
|
Dec 07, 2023 |
|
Thomas Dietterich: From the Foundations
|
Nov 30, 2023 |
|
Martin Wattenberg: ML Visualization and Interpretability
|
Nov 16, 2023 |
|
Laurence Liew: AI Singapore
|
Nov 09, 2023 |
|
Michael Levin & Adam Goldstein: Intelligence and its Many Scales
|
Nov 02, 2023 |
|
Jonathan Frankle: From Lottery Tickets to LLMs
|
Oct 26, 2023 |
|
Nao Tokui: "Surfing" Musical Creativity with AI
|
Oct 19, 2023 |
|
Divyansh Kaushik: The Realities of AI Policy
|
Oct 12, 2023 |
|
Tal Linzen: Psycholinguistics and Language Modeling
|
Oct 05, 2023 |
|
Kevin K. Yang: Engineering Proteins with ML
|
Sep 28, 2023 |
|
Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve
|
Sep 21, 2023 |
|
Miles Grimshaw: Benchmark, LangChain, and Investing in AI
|
Sep 14, 2023 |
|
Shreya Shankar: Machine Learning in the Real World
|
Sep 07, 2023 |
|
Stevan Harnad: AI's Symbol Grounding Problem
|
Aug 31, 2023 |
|
Terry Winograd: AI, HCI, Language, and Cognition
|
Aug 24, 2023 |
|
Gil Strang: Linear Algebra and Deep Learning
|
Aug 17, 2023 |
|
Anant Agarwal: AI for Education
|
Aug 10, 2023 |
|
Raphaël Millière: The Vector Grounding Problem and Self-Consciousness
|
Aug 04, 2023 |
|
Peli Grietzer: A Mathematized Philosophy of Literature
|
Jul 27, 2023 |
|
Ryan Drapeau: Battling Fraud with ML at Stripe
|
Jul 20, 2023 |
|
Shiv Rao: Enabling Better Patient Care with AI
|
Jul 13, 2023 |
|
Hugo Larochelle: Deep Learning as Science
|
Jul 06, 2023 |
|
Jeremie Harris: Realistic Alignment and AI Policy
|
Jun 29, 2023 |
|
Antoine Blondeau: Alpha Intelligence Capital and Investing in AI
|
Jun 22, 2023 |
|
Joon Park: Generative Agents and Human-Computer Interaction
|
Jun 15, 2023 |
|
Christoffer Holmgård: AI for Video Games
|
Jun 08, 2023 |
|
Riley Goodside: The Art and Craft of Prompt Engineering
|
Jun 01, 2023 |
|
Talia Ringer: Formal Verification and Deep Learning
|
May 25, 2023 |
|
Brigham Hyde: AI for Clinical Decision-Making
|
May 18, 2023 |
|
Scott Aaronson: Against AI Doomerism
|
May 11, 2023 |
|
Ted Underwood: Machine Learning and the Literary Imagination
|
May 04, 2023 |
|
Irene Solaiman: AI Policy and Social Impact
|
Apr 27, 2023 |
|
Drago Anguelov: Waymo and Autonomous Vehicles
|
Apr 20, 2023 |
|
Joanna Bryson: The Problems of Cognition
|
Apr 13, 2023 |
|
Daniel Situnayake: AI on the Edge
|
Apr 06, 2023 |
|
Soumith Chintala: PyTorch
|
Mar 30, 2023 |
|
Sewon Min: The Science of Natural Language
|
Mar 23, 2023 |
|
Richard Socher: Re-Imagining Search
|
Mar 16, 2023 |
|
Joe Edelman: Meaning-Aligned AI
|
Mar 09, 2023 |
|
Ed Grefenstette: Language, Semantics, Cohere
|
Mar 02, 2023 |
|
Ken Liu: What Science Fiction Can Teach Us
|
Feb 23, 2023 |
|
Hattie Zhou: Lottery Tickets and Algorithmic Reasoning in LLMs
|
Feb 16, 2023 |
|
Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science
|
Feb 09, 2023 |
|
Steve Miller: Will AI Take Your Job? It's Not So Simple.
|
Feb 02, 2023 |
|
Blair Attard-Frost: Canada’s AI strategy and the ethics of AI business practices
|
Jan 26, 2023 |
|
Linus Lee: At the Boundary of Machine and Mind
|
Jan 19, 2023 |
|
Suresh Venkatasubramanian: An AI Bill of Rights
|
Jan 12, 2023 |
|
Pete Florence: Dense Visual Representations, NeRFs, and LLMs for Robotics
|
Jan 05, 2023 |
|
Melanie Mitchell: Abstraction and Analogy in AI
|
Dec 15, 2022 |
|
Marc Bellemare: Distributional Reinforcement Learning
|
Dec 08, 2022 |
|
François Chollet: Keras and Measures of Intelligence
|
Dec 01, 2022 |
|
Yoshua Bengio: The Past, Present, and Future of Deep Learning
|
Nov 21, 2022 |
|
Kanjun Qiu and Josh Albrecht: Generally Intelligent
|
Nov 17, 2022 |
|
Nathan Benaich: The State of AI Report
|
Nov 10, 2022 |
|
Matt Sheehan: China's AI Strategy and Governance
|
Nov 03, 2022 |
|
Luis Voloch: AI and Biology
|
Oct 27, 2022 |
|
Zachary Lipton: Where Machine Learning Falls Short
|
Oct 13, 2022 |
|
Stuart Russell: The Foundations of Artificial Intelligence
|
Oct 06, 2022 |
|
Varun Ganapathi: AKASA, AI and Healthcare
|
Sep 29, 2022 |
|
Joel Lehman: Open-Endedness and Evolution through Large Models
|
Sep 22, 2022 |
|
Andrew Feldman: Cerebras and AI Hardware
|
Sep 15, 2022 |
|
Christopher Manning: Linguistics and the Development of NLP
|
Sep 08, 2022 |
|
Jeff Clune: Genetic Algorithms, Quality-Diversity, Curiosity
|
Sep 01, 2022 |
|
Catherine Olsson and Nelson Elhage: Anthropic, Understanding Transformers
|
Aug 26, 2022 |
|
Been Kim: Interpretable Machine Learning
|
Aug 18, 2022 |
|
Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models
|
Aug 05, 2022 |
|
Sebastian Raschka: AI Education and Research
|
Jul 29, 2022 |
|
Lt. General Jack Shanahan: AI in the DoD, Project Maven, and Bridging the Tech-DoD Gap
|
Jul 22, 2022 |
|
Sara Hooker: Cohere For AI, the Hardware Lottery, and DL Tradeoffs
|
Jul 14, 2022 |
|
Lukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & Biases
|
Jul 07, 2022 |
|
Chip Huyen: Machine Learning Tools and Systems
|
Jun 30, 2022 |
|
Preetum Nakkiran: An Empirical Theory of Deep Learning
|
Jun 24, 2022 |
|
Max Woolf: Data Science at BuzzFeed and AI Content Generation
|
Jun 16, 2022 |
|
Rosanne Liu: Paths in AI Research and ML Collective
|
Jun 10, 2022 |
|
Ben Green: "Tech for Social Good" Needs to Do More
|
Jun 02, 2022 |
|
Max Braun: Teaching Robots to Help People in their Everyday Lives
|
May 26, 2022 |
|
Yejin Choi: Teaching Machines Common Sense and Morality
|
May 19, 2022 |
|
David Chalmers on AI and Consciousness
|
May 12, 2022 |
|
Greg Yang on Communicating Research, Tensor Programs, and µTransfer
|
Apr 28, 2022 |
|
Nick Walton on AI Dungeon and the Future of AI in Games
|
Mar 24, 2022 |
|
Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment
|
Feb 03, 2022 |
|
Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibility
|
Jan 27, 2022 |
|
Eric Jang on Robots Learning at Google and Generalization via Language
|
Jan 08, 2022 |
|
Rishi Bommasani on Foundation Models
|
Dec 09, 2021 |
|
Upol Ehsan on Human-Centered Explainable AI and Social Transparency
|
Dec 03, 2021 |
|
Miles Brundage on AI Misuse and Trustworthy AI
|
Nov 23, 2021 |
|
Jeffrey Ding on China's AI Dream, the AI 'Arms Race', and AI as a General Purpose Technology
|
Nov 18, 2021 |
|
Alex Tamkin on Self-Supervised Learning and Large Language Models
|
Nov 11, 2021 |
|
Peter Henderson on RL Benchmarking, Climate Impacts of AI, and AI for Law
|
Oct 28, 2021 |
|
Chelsea Finn on Meta Learning & Model Based Reinforcement Learning
|
Oct 14, 2021 |
|
Devi Parikh on Generative Art & AI for Creativity
|
Oct 01, 2021 |
|
Sergey Levine on Robot Learning & Offline RL
|
Sep 16, 2021 |
|
Jeremy Howard on Kaggle, Enlitic, and fast.ai
|
Sep 09, 2021 |
|
Evan Hubinger on Effective Altruism and AI Safety
|
Sep 03, 2021 |
|
Yannic Kilcher on Being an AI Researcher and Educator
|
Aug 27, 2021 |
|
Alexander Veysov on Self-Teaching AI and Creating Open Speech-To-Text
|
Aug 19, 2021 |
|
Yann LeCun on his Start in Research and Self-Supervised Learning
|
Aug 05, 2021 |
|
Anna Rogers on the Flaws of Peer Review in AI
|
Jul 30, 2021 |
|
Joel Simon on AI art and Artbreeder
|
Jul 20, 2021 |
|
Abubakar Abid on AI for Genomics, Gradio, and the Fatima Fellowship
|
Jul 06, 2021 |
|
Helena Sarin on being an AI Artist
|
Jun 19, 2021 |
|
Hello World from The Gradient Podcast!
|
Jun 01, 2021 |