The Gradient: Perspectives on AI
Deeply researched, technical interviews with experts thinking about AI and technology. thegradientpub.substack.com
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Episodes (309)
Laurence Liew: AI Singapore
The Gradient: Perspectives on AI
Michael Levin & Adam Goldstein: Intelligence and its Many Scales
The Gradient: Perspectives on AI
Jonathan Frankle: From Lottery Tickets to LLMs
The Gradient: Perspectives on AI
Nao Tokui: "Surfing" Musical Creativity with AI
The Gradient: Perspectives on AI
Divyansh Kaushik: The Realities of AI Policy
The Gradient: Perspectives on AI
Tal Linzen: Psycholinguistics and Language Modeling
The Gradient: Perspectives on AI
Kevin K. Yang: Engineering Proteins with ML
The Gradient: Perspectives on AI
Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to A...
The Gradient: Perspectives on AI
Miles Grimshaw: Benchmark, LangChain, and Investing in AI
The Gradient: Perspectives on AI
Shreya Shankar: Machine Learning in the Real World
The Gradient: Perspectives on AI
Stevan Harnad: AI's Symbol Grounding Problem
The Gradient: Perspectives on AI
Terry Winograd: AI, HCI, Language, and Cognition
The Gradient: Perspectives on AI
Gil Strang: Linear Algebra and Deep Learning
The Gradient: Perspectives on AI
Anant Agarwal: AI for Education
The Gradient: Perspectives on AI
Raphaël Millière: The Vector Grounding Problem and Self-Consciousness
The Gradient: Perspectives on AI
Peli Grietzer: A Mathematized Philosophy of Literature
The Gradient: Perspectives on AI
Ryan Drapeau: Battling Fraud with ML at Stripe
The Gradient: Perspectives on AI
Shiv Rao: Enabling Better Patient Care with AI
The Gradient: Perspectives on AI
Hugo Larochelle: Deep Learning as Science
The Gradient: Perspectives on AI
Jeremie Harris: Realistic Alignment and AI Policy
The Gradient: Perspectives on AI
Antoine Blondeau: Alpha Intelligence Capital and Investing in AI
The Gradient: Perspectives on AI
Joon Park: Generative Agents and Human-Computer Interaction
The Gradient: Perspectives on AI
Christoffer Holmgård: AI for Video Games
The Gradient: Perspectives on AI
Riley Goodside: The Art and Craft of Prompt Engineering
The Gradient: Perspectives on AI
Talia Ringer: Formal Verification and Deep Learning
The Gradient: Perspectives on AI
Brigham Hyde: AI for Clinical Decision-Making
The Gradient: Perspectives on AI
Scott Aaronson: Against AI Doomerism
The Gradient: Perspectives on AI
Ted Underwood: Machine Learning and the Literary Imagination
The Gradient: Perspectives on AI
Irene Solaiman: AI Policy and Social Impact
The Gradient: Perspectives on AI
Drago Anguelov: Waymo and Autonomous Vehicles
The Gradient: Perspectives on AI
Joanna Bryson: The Problems of Cognition
The Gradient: Perspectives on AI
Daniel Situnayake: AI on the Edge
The Gradient: Perspectives on AI
Soumith Chintala: PyTorch
The Gradient: Perspectives on AI
Sewon Min: The Science of Natural Language
The Gradient: Perspectives on AI
Richard Socher: Re-Imagining Search
The Gradient: Perspectives on AI
Joe Edelman: Meaning-Aligned AI
The Gradient: Perspectives on AI
Ed Grefenstette: Language, Semantics, Cohere
The Gradient: Perspectives on AI
Ken Liu: What Science Fiction Can Teach Us
The Gradient: Perspectives on AI
Hattie Zhou: Lottery Tickets and Algorithmic Reasoning in LLMs
The Gradient: Perspectives on AI
Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science
The Gradient: Perspectives on AI
Steve Miller: Will AI Take Your Job? It's Not So Simple.
The Gradient: Perspectives on AI
Blair Attard-Frost: Canada’s AI strategy and the ethics of AI business practices
The Gradient: Perspectives on AI
Linus Lee: At the Boundary of Machine and Mind
The Gradient: Perspectives on AI
Suresh Venkatasubramanian: An AI Bill of Rights
The Gradient: Perspectives on AI
Pete Florence: Dense Visual Representations, NeRFs, and LLMs for Robotics
The Gradient: Perspectives on AI
Melanie Mitchell: Abstraction and Analogy in AI
The Gradient: Perspectives on AI
Marc Bellemare: Distributional Reinforcement Learning
The Gradient: Perspectives on AI
François Chollet: Keras and Measures of Intelligence
The Gradient: Perspectives on AI
Yoshua Bengio: The Past, Present, and Future of Deep Learning
The Gradient: Perspectives on AI
Kanjun Qiu and Josh Albrecht: Generally Intelligent
The Gradient: Perspectives on AI