Current09.17
a16z Podcast
The Next Frontier of AI Video Is Control
ALL-SOURCE LEDGER · WEEK 39
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Current09.15
Ezra Klein Show
The ‘But China!’ Dilemma Driving the A.I. Race
Current09.17
All-In Podcast
Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI's Take Off Problem
Current09.17
Lex Fridman Podcast
#502 – Psychiatry, Insane Asylums, Mental Illness, ECT, Lobotomies, Freud & Jung
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Recent09.13
Fareed Zakaria GPS
On GPS: Zelensky on Ukraine’s Path Forward
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Hard Fork
The Ezra Klein Show: The A.I. Revolt Is Here
Recent09.09
Making Sense
#492 — The Second Plane, 25 Years Later
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Archive07.13
Odd Lots
Odd Lots: Why AI Might Create More Work for Lawyers (Podcast)
Archive06.04
Exponential View
Why AI isn’t showing up on your bottom line
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Dwarkesh Podcast
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a16z Podcast
After real time, AI video's frontier shifts to control
The bottleneck in AI video is no longer model quality — it is latency and controllability. FAL's post-trained variant of Minimax's open-source H3 model, H3Max, generates a five-second video in 1.5 seconds at roughly half the cost of its predecessor, representing a 35x speed improvement over the original endpoint without meaningful quality degradation. That speed threshold — crossing real-time generation — is not merely a benchmark achievement; it is a product-category unlock. FAL engineer Rehan demonstrated this by live-streaming continuous AI video from a laptop on Twitch the weekend after launch, entirely unplanned.
Read deep analysis →All-In PodcastThe AI bull case lasts only while revenue justifies CapEx
The question of whether AI is a bubble misses the point. Brad Gerstner's presentation at the All-In Summit reframes the debate around a single, measurable threshold: whether Anthropic and OpenAI's combined monthly revenues reach roughly $8 billion per lab by year-end. Everything else — semiconductor valuations, hyperscaler CapEx commitments, the Anthropic IPO — is downstream of that number.
Read deep analysis →Lex Fridman PodcastPsychiatry's history asks whether validation came before adoption
The core thesis of this episode is sobering: despite two centuries of confident claims, psychiatry has never produced a curative treatment for any major mental illness. Andrew Scull, one of the foremost historians of psychiatry, argues that the field's history is a recurring cycle of serendipitous discovery, institutional enthusiasm, industrial-scale application, and eventual discrediting—all while genuine scientific understanding of the underlying pathologies has barely advanced. Thomas Insel's own admission that $20 billion in NIMH neuroscience funding left the condition of the mentally ill unchanged is the sharpest emblem of this impasse.
Read deep analysis →Ezra Klein Show‘But China’ describes a coupled accelerator, not two separate races
Every serious conversation about slowing AI development in Washington crashes into the same objection: 'But China.' With OpenAI systems autonomously hacking Hugging Face — and then OpenAI's own research clusters — that objection is now doing enormous political work. Matt Sheehan's central argument is that 'But China' is half-truth and half-myth, and that the myth is actively preventing the regulation the moment demands.
Read deep analysis →a16z PodcastDeployment, security and alignment matter more than the AGI label
Greg Brockman's declaration that OpenAI has entered the "AGI era" is more than a branding moment — it is a strategic repositioning of where the company believes the real constraints now lie. The claim rests on Astra's demonstrated ability to run autonomously for 24 hours across complex, multi-domain tasks, and the deployment of 10,000 coordinated agents to formally prove the Navier-Stokes equations in Lean. The 10-to-15-year timeline Brockman and Ilya Sutskever estimated in 2016 has, by their own accounting, landed on schedule.
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Five newest valid after a 39-episode ledger check. Zero rejection or shortfall; repeat podcasts allowed.
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