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The Gradient: Perspectives on AI

Daniel Bashir

EN309 episodes
technologyscience

Deeply researched, technical interviews with experts thinking about AI and technology. thegradientpub.substack.com

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Each time The Gradient: Perspectives on AI publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

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Episodes (309)

Nathan Benaich: The State of AI Report

The Gradient: Perspectives on AI

Nov 10, 20221:18:51pending

Matt Sheehan: China's AI Strategy and Governance

The Gradient: Perspectives on AI

Nov 3, 20221:06:30pending

Luis Voloch: AI and Biology

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Oct 27, 202243:56pending

Zachary Lipton: Where Machine Learning Falls Short

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Oct 13, 20221:40:58pending

Stuart Russell: The Foundations of Artificial Intelligence

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Oct 6, 20221:10:47pending

Varun Ganapathi: AKASA, AI and Healthcare

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Sep 29, 202251:11pending

Joel Lehman: Open-Endedness and Evolution through Large Models

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Sep 22, 20221:38:53pending

Andrew Feldman: Cerebras and AI Hardware

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Sep 15, 202256:47pending

Christopher Manning: Linguistics and the Development of NLP

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Sep 8, 20221:11:35pending

Jeff Clune: Genetic Algorithms, Quality-Diversity, Curiosity

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Sep 1, 20221:08:41pending

Catherine Olsson and Nelson Elhage: Anthropic, Understanding Transformers

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Aug 26, 202247:04pending

Been Kim: Interpretable Machine Learning

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Aug 18, 20221:11:32pending

Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models

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Aug 5, 202255:41pending

Sebastian Raschka: AI Education and Research

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Jul 29, 20221:03:32pending

Lt. General Jack Shanahan: AI in the DoD, Project Maven, and Bridging the Tech-D...

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Jul 22, 202231:00pending

Sara Hooker: Cohere For AI, the Hardware Lottery, and DL Tradeoffs

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Jul 14, 202252:55pending

Lukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & Biases

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Jul 7, 202246:44pending

Chip Huyen: Machine Learning Tools and Systems

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Jun 30, 202248:27pending

Preetum Nakkiran: An Empirical Theory of Deep Learning

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Jun 24, 20221:37:29pending

Max Woolf: Data Science at BuzzFeed and AI Content Generation

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Jun 16, 202248:23pending

Rosanne Liu: Paths in AI Research and ML Collective

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Jun 10, 20221:15:08pending

Ben Green: "Tech for Social Good" Needs to Do More

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Jun 2, 202253:10pending

Max Braun: Teaching Robots to Help People in their Everyday Lives

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May 26, 20221:22:51pending

Yejin Choi: Teaching Machines Common Sense and Morality

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May 19, 20221:16:24pending

David Chalmers on AI and Consciousness

The Gradient: Perspectives on AI

May 12, 202252:09pending

Greg Yang on Communicating Research, Tensor Programs, and µTransfer

The Gradient: Perspectives on AI

Apr 28, 20221:05:50pending

Nick Walton on AI Dungeon and the Future of AI in Games

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Mar 24, 20221:02:37pending

Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment

The Gradient: Perspectives on AI

Feb 3, 2022pending

Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibili...

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Jan 27, 202250:54pending

Eric Jang on Robots Learning at Google and Generalization via Language

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Jan 8, 20221:33:19pending

Rishi Bommasani on Foundation Models

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Dec 9, 20211:33:51pending

Upol Ehsan on Human-Centered Explainable AI and Social Transparency

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Dec 3, 20211:35:16pending

Miles Brundage on AI Misuse and Trustworthy AI

The Gradient: Perspectives on AI

Nov 23, 202154:03pending

Jeffrey Ding on China's AI Dream, the AI 'Arms Race', and AI as a General Purpos...

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Nov 18, 20211:11:04pending

Alex Tamkin on Self-Supervised Learning and Large Language Models

The Gradient: Perspectives on AI

Nov 11, 20211:10:41pending

Peter Henderson on RL Benchmarking, Climate Impacts of AI, and AI for Law

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Oct 28, 20211:28:42pending

Chelsea Finn on Meta Learning & Model Based Reinforcement Learning

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Oct 14, 202149:40pending

Devi Parikh on Generative Art & AI for Creativity

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Oct 1, 202155:14pending

Sergey Levine on Robot Learning & Offline RL

The Gradient: Perspectives on AI

Sep 16, 202153:51pending

Jeremy Howard on Kaggle, Enlitic, and fast.ai

The Gradient: Perspectives on AI

Sep 9, 202158:03pending

Evan Hubinger on Effective Altruism and AI Safety

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Sep 3, 20211:15:20pending

Yannic Kilcher on Being an AI Researcher and Educator

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Aug 27, 202140:32pending

Alexander Veysov on Self-Teaching AI and Creating Open Speech-To-Text

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Aug 19, 202146:51pending

Yann LeCun on his Start in Research and Self-Supervised Learning

The Gradient: Perspectives on AI

Aug 5, 202155:48pending

Anna Rogers on the Flaws of Peer Review in AI

The Gradient: Perspectives on AI

Jul 30, 20211:03:10pending

Joel Simon on AI art and Artbreeder

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Jul 20, 202158:18pending

Abubakar Abid on AI for Genomics, Gradio, and the Fatima Fellowship

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Jul 6, 202144:40pending

Helena Sarin on being an AI Artist

The Gradient: Perspectives on AI

Jun 19, 202140:49pending

Hello World from The Gradient Podcast!

The Gradient: Perspectives on AI

Jun 1, 202122:14pending