Podcasts & YouTube
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Podcasts
- Latent Space (swyx & Alessio): latent.space/podcast. Best for: the AI-engineering discipline. Deep, technical interviews with founders and researchers.
- Dwarkesh Podcast (Dwarkesh Patel): dwarkesh.com / YouTube. Best for: long, rigorous conversations with frontier researchers and CEOs (the Dario Amodei and DeepMind episodes are notable). Unusually well-prepared.
- No Priors (Sarah Guo & Elad Gil): no-priors.com. Best for: an investor-and-founder view of where AI is heading; strong guest list.
- The Cognitive Revolution (Nathan Labenz): cognitiverevolution.ai. Best for: fast coverage of new capabilities with a builder and safety balance.
- Lex Fridman Podcast: lexfridman.com/podcast. Best for: long interviews with prominent names in the field. Uneven but occasionally definitive.
- Machine Learning Street Talk (MLST): YouTube. Best for: deep, philosophical, technically serious debates; a lower-hype option.
- The TWIML AI Podcast (Sam Charrington): twimlai.com/podcast. Best for: long-running, deeply technical interviews with ML researchers and practitioners. 770+ episodes and still going.
- AI + a16z (Andreessen Horowitz): a16z.com/podcasts/ai-a16z. Best for: a builder-and-infrastructure view of applied AI from the investor side.
- Hard Fork (Kevin Roose & Casey Newton): nytimes.com/column/hard-fork. Best for: a mainstream, well-produced weekly take on AI and tech news. The accessible on-ramp.
YouTube channels
- Theo (t3.gg): youtube.com/@t3dotgg. Best for: fast, opinionated reactions to AI tooling and the dev stack. Tracks what developers are arguing about this week. 🔄
- Andrej Karpathy: youtube.com/@AndrejKarpathy. Best for: build-it-from-scratch lectures (nanoGPT, tokenizers, LLM intro).
- 3Blue1Brown: youtube.com/@3blue1brown. Best for: visual intuition on neural nets and transformers. Explains why attention works.
- Yannic Kilcher: youtube.com/@YannicKilcher. Best for: paper walkthroughs covering the math and the contribution.
- Two Minute Papers: youtube.com/@TwoMinutePapers. Best for: quick hits on new research (especially generative and visual). Light but broad.
- AI Explained: youtube.com/@aiexplained-official. Best for: benchmark-driven breakdowns of frontier releases. Skeptical and precise.