FULL ARCHIVE
Episodes.
Browse recent AI:AM briefings, guest rosters, and source notes from the weekday morning show.
AI:AM LIVE — July 8, 2026 — LTX's Zeev Farbman on Open World Models, GPT-5.6 Cleared for Launch, and Hosts vs. the AI Superforecasters
A three-act Wednesday show. Nathan and Prakash opened with the machinery around the models: all three GPT-5.6 models (Sol, Terra, Luna) were cleared to launch publicly the next day, July 9, after Commerce's CAISI review — making GPT-5.6 the first frontier model to graduate the June EO's pre-release gate rather than be stopped by it (as of air time it remained a ~20-partner API preview, not GA) — the same 48 hours OpenAI's exhibition model beat the human field at the AtCoder World Tour Finals, with AtCoder's own president conceding 'total defeat to AI.' The hosts then took on Anthropic's 'global workspace' paper (Jul 6, 2026) — a privileged, small slice of Claude's activity that supports multi-step reasoning and experiential language, and the consciousness-framing fight it ignited from OpenAI's Boris Power to Neel Nanda and Eleos AI — plus Replit's claim to have 'closed the loop' on a self-improving agent read through Lilian Weng's harness-engineering lens, and a same-week regulatory split-screen: Beijing weighing export curbs on China's top models (open weights included, per Reuters Jul 7) while Illinois signed SB 315, first-in-nation annual safety audits for frontier developers, with Coefficient Giving's reported $160M grant to Geoffrey Irving's Resolution rounding out the block. Then Zeev Farbman — co-founder and CEO of LTX, the Facetune founder who split Lightricks in two on June 1, 2026 to go all-in on open world models — joined for a 48-minute conversation built around the open-weights bet in AI video: why he took ~250 people and the models while Facetune kept the cash cow, the Red Hat-style licensing math of giving away weights free under $10M ARR, LTX-2.3's #1 open-weights ranking on Video Arena (Jun 30, 2026) versus the closed frontier's compute advantage, video models as world models with implicit physics, robotics teams fine-tuning owned weights inside their own environments, and what responsible deployment means for open video. Finally, the longest segment of the day: 'Predictions & FutureSearch,' the hosts-versus-the-AI-superforecasters rematch teased on Monday's Dan Schwarz episode — a 'Guess the Market' round with Nathan and Prakash calibrating against live prediction-market odds on AI questions and comparing their guesses to FutureSearch's AI forecasting agent.
GUESTS · Zeev FarbmanAI:AM LIVE — July 7, 2026 — Exploring the J-Space: Anthropic's Global-Workspace Paper, a No-Guest Sensemaking Experiment, and Pangram Labs Put to the Test
A hosts-only experiment in public sensemaking: with Anthropic's massive new J-Space interpretability release just out — a ~150-page paper plus ~50 pages of commentary, summaries, and interactive demos — Nathan and Prakash spent nearly two hours working through it live with no expert guests, pausing to ask Claude for help and pulling up the paper's visualizations on screen. The headline: applying a 'Jacobian lens' to a transformer's activations reveals an emergent global-workspace-like region — the J-Space — at intermediate depths where the model's higher-order reasoning becomes legible: watch a model silently solve multi-step arithmetic in a single forward pass while copying an unrelated sentence, or 'concentrate on citrus fruits' on command without emitting a token. Nathan's optimistic read: because ablating the J-Space destroys exactly the capabilities takeover scenarios require — strategic multi-step reasoning and theory of mind — cheap J-Space monitoring adds 'another 9' to defense-in-depth ('a tough day for the stochastic parrot crowd'), and interpretability keeps surprising to the upside only three years after toy models of superposition. The hosts worked through the counterfactual-reflection-training result (training the model to give an account of its principles mid-task loads those concepts into the J-Space and improves behavior even when unobserved), the sleeper-agent result (concepts like 'secretly' and 'fraud' visible on the first token of a hidden-goal model's response), Anthropic's three outside review tracks (neuroscientists, Eleos AI on welfare and moral patienthood, and Neel Nanda calling it a starting point for a research program), the consciousness question both hosts noted everyone is carefully not answering, and Daniel Kokotajlo's 'a few dozen more advances like this' — which Nathan pushed back on as too pessimistic. Then a follow-up the hosts had promised: Nathan ran roughly 400 of his Cognitive Revolution intro essays through Pangram Labs' AI-text detector and walked through the receipts on screen — two flagged essays were admitted AI reads, one 0%-human score was 'fair enough,' but one essay Pangram scored 0% human came with a 50-minute Google Docs edit history showing him rewriting nearly every section: 'trust it as a consumer, be more cautious as a judge.' Prakash countered with the Chamath episode — a 100%-AI post Elon replied to before anyone checked — and argued the window in which anyone cares about AI-written text may close within the year. The FutureSearch prediction-market quiz planned for the day was deferred on-air to the next morning's show — with FutureSearch itself competing against the hosts.
GUESTS · Guests announced soonAI:AM LIVE — July 6, 2026 — AI Superforecasters?! FutureSearch, the ACX Moment, and a $160M Safety Grant: Dan Schwarz
A holiday-weekend show with one big guest. Nathan and Prakash opened with a Fourth of July recap and Nathan's preview of his two-week China trip — the World AI Conference in Shanghai, the opening of an AI-safety research hub at Tsinghua, and a plan to live on a 'digital alter ego' running DeepSeek, MiniMax, and Kimi instead of his usual US apps. In the news block, Jeffrey Irving's Resolution AI landed a $160M grant from Coefficient Giving — read on-air as AI-safety funders finally writing checks sized to their stated urgency — and a Roon post arguing 'tool AI' is a losing concept sparked an extended exchange on worthy successors, scalable oversight, and the gap between labs' published model specs and what their models actually refuse, with Prakash pressing the provocation that a genuinely value-aligned AI enforcer would end up looking like a 'paperclipper.' Prakash then live-demoed 'Q,' the show's in-development AI voice cohost (OpenAI realtime API plus per-speaker Deepgram diarization), before the hosts dug into the engineering. Then Dan Schwarz — CEO and co-founder of FutureSearch, former CTO of Metaculus, and builder of Google's internal prediction market — joined four days after Scott Alexander's ACX profile ('The AI Superforecasters Are Here,' Jul 2, 2026) put FutureSearch's forecasting agent on display. On air, Dan traced FutureSearch's three-year arc from a Claude-2-era prototype to beating the superforecaster median on ForecastBench; explained past-casting and the Bench to the Future benchmark (which clocked Claude Fable as the best single-agent forecaster within 24 hours of release); argued the real money in forecasting lies in what frontier labs do with the capability, not in trading; debated whether AI forecasters genuinely reason out-of-distribution; unveiled FutureSearch's 'world model' feature launching that same day; owned a correlated-failure mistake in his own Fable export-ban forecast; and closed urging the industry to slow down enough for safety and policy to catch up. The hosts wrapped by pitching a prediction-market rematch: Nathan and Prakash versus FutureSearch.
GUESTS · Dan SchwarzAI:AM LIVE — July 2, 2026 — The Export Regime Blinks and Washington Eyes a Stake in the Frontier: Kunle Olukotun
The opening tracked a week in which the US government kept fusing with the frontier — first over access, now over ownership — while open-weights economics quietly undercut the whole premium. Commerce withdrew the export-control requirement on Anthropic's Fable 5 and Mythos 5 after an 18-day freeze, and Anthropic began restoring Fable 5 globally under new terms: a cyber-classifier, a HackerOne bounty program, a cross-lab jailbreak-severity framework, and — the load-bearing part — earlier pre-release access for the US government to test future frontier models. In the same window, the FT reported OpenAI floated a ~5% stake (roughly $42.6B) to Washington, with Altman said to have proposed the same from every leading US lab into an Alaska-Permanent-Fund-style vehicle. Underneath the policy noise, the business fight got quantified: independent evals now rank GLM-5.2 the top open-weights model and #3 overall on agentic knowledge work (though verbose and hallucination-prone), and a Chamath n=1 pilot pairing it with an agent harness cut a modernization task's cost ~16× vs Opus 4.8. Kunle Olukotun — co-founder & Chief Technologist of SambaNova, Stanford's Cadence Design Systems Professor and a father of the multicore processor — then joined for the architect's-seat conversation on whether reconfigurable-dataflow silicon (the RDU) finally wins the economics of reasoning-model and agentic inference. Nathan pressed the dataflow-vs-GPU thesis (map the model's dataflow graph onto silicon rather than stream instructions through fixed cores), the three-tier-memory bet, and the Composition-of-Experts pitch (many specialized models resident on one system, which the SN50 is purpose-built for) against a brutally consolidated 2026 field: Nvidia bought Groq for ~$20B, Cerebras IPO'd at ~$66B, and Intel — after reportedly exploring a ~$1.6B acquisition — instead took a Series E stake in SambaNova's down round (~$2.2B, from $5.1B). The recency-disciplined proof point: SambaNova set a DeepSeek-R1 671B speed record (~198 tokens/sec/user on 16 SN40L RDUs) verified by Artificial Analysis in February 2025 — now ~17 months old, so framed as trajectory, not current best, with the live question being where custom silicon durably wins on cost-per-useful-token and whether the independent inference-chip bet ends in absorption or independence.
GUESTS · Kunle OlukotunAI:AM LIVE — June 26, 2026 — Learning Expert Judgment and AI Consciousness: Robbie Goldfarb, Eric Vaughan & Cameron Berg
The opening tracked the GPT-5.6 approval saga: The Information's report that OpenAI had submitted GPT-5.6 for government review even before the Mythos announcement, the administration's unprecedented customer-by-customer approval regime (with Fable still banned), Dean Ball's warning that delay risks a market downturn, and a longer debate over whether the government can actually secure its own systems in a world where frontier hacking capability diffuses down to 'script kiddies' — plus Prakash's field report on how executives really view AI, from the ~30% who still think it's all a scam to the true believers going all-in. Robbie Goldfarb — co-founder and CTO of Forum AI, the independent evaluation company he started with former Meta news chief Campbell Brown — then explained how Forum distills a bipartisan expert network into 'judgment models' for grading AI on news, politics, and other questions with no answer key, and walked through NewsBench's findings: roughly a third of frontier-model answers about the news contained a verifiable factual error, and models frequently cited state-controlled outlets. Eric Vaughan, CEO of IgniteTech, defended the most aggressive corporate AI transformation on record — 'AI Mondays,' ~80% workforce turnover, and rebuilding around 'AI DNA' — arguing fear is the real blocker and 'if you don't think you're behind, you're doomed.' Cameron Berg, founder of Reciprocal Research, closed with a 74-minute deep dive on the empirical study of AI consciousness — computational functionalism, valence-related representations, psychometric signatures, and why he puts real probability on 'lights on inside' — before the hosts debriefed with their own credences and a look at the platonic representation hypothesis, Kate Darling's animal analogy, and Richard Sutton's 'era of design.'
GUESTS · Robbie Goldfarb, Eric Vaughan, Cameron BergAI:AM LIVE — June 25, 2026 — Surviving on Top of the Frontier Labs: Eric Olson & Tricia Martinez
The opening tracked a frontier-economics news cycle: the first legal test of the export-control blockade on Anthropic's Fable 5 and Mythos models, with legal-tech firm Legion suing the Trump administration over its authority to force the models offline; Tom Brown replacing Dario Amodei as Anthropic's lead voice in Washington; Snowflake CEO Sridhar Ramaswamy's GLM 5.2-versus-Opus 4.7 benchmark thread and what a near-frontier open-source model means for SaaS margins; Anthropic's accusation that Alibaba used nearly 25,000 fraudulent accounts to extract 28.8 million Claude exchanges to train Qwen, and the deeper question of whether distillation spreads Anthropic's alignment work as a side effect; and a wave of Google DeepMind departures alongside ban-superintelligence calls from MIRI's Nate Soares and Francis Fukuyama. Eric Olson — CEO and co-founder of Consensus, the AI research engine over 200M+ peer-reviewed papers used by 2.5M+ people a month — then joined to locate where 'AI for science' actually stands and to answer the question every AI investor keeps asking: do application-layer companies built on top of the labs get steamrolled, or compound? He detailed Consensus's 'recipes' architecture, its routing of narrow tasks to sub-billion-parameter BERT-series models, a roughly days-to-hours speed-up for researchers, and why a price-discrimination gap between API and consumer pricing is navigable but not unlimited. Tricia Martinez — founder and CEO of Dapple — followed on sovereign, single-tenant, in-country AI infrastructure; the company says it booked over $100M in enterprise contracts in its first five months on a $30M seed, and Tricia made the case for an asset-light, software-first 'Enterprise OS Cloud' against pointed questions on its 91–94% utilization claim, 6-to-9-month deployment timelines, and Azure-native dependency. The hosts closed by debating whether a company like Dapple is a market maker or a defensible control plane, what software is worth when agents are the primary buyers, and the value of human time and attention in a hyper-deflationary software world.
GUESTS · Eric Olson, Tricia MartinezAI:AM LIVE — June 24, 2026 — Gradual Disempowerment and the Search for a Stable Post-AGI Equilibrium: David Duvenaud
The opening covered a fast-moving week in AI policy and infrastructure: the first federal lawsuit over the BIS export-control order cutting off Anthropic's Fable 5 for foreign nationals; two papers pointing at latent world-models inside RL agents and a 7M-parameter loop model beating much larger systems on hard reasoning; the $8M super-PAC defeat of New York's frontier-AI-safety lawmaker; and a brisk exchange on Claude Tag's launch as multiplayer AI, GLM 5.2's cost advantage over GPT-5.5 Codex, and Claude's UltraCode orchestration mode. David Duvenaud — ML professor at the University of Toronto, co-creator of neural ODEs, former alignment lead at Anthropic, and co-author of the 'Gradual Disempowerment' paper — then joined for a full hour exploring whether any stable post-AGI equilibrium actually exists where humans keep meaningful control. Nathan pressed every optimist steelman: historical absorption (prior automation shocks were absorbed without permanent disempowerment), comparative advantage (Ricardo says humans keep a niche), constitutional and property anchors (the franchise, rule of law, military command), aligned AIs defending human leverage, and the argument that 'gradual' gives time to correct. Duvenaud's rebuttal to each was consistent: the disempowerment mechanism doesn't require malice or misalignment — it requires only that the systems driving growth stop needing human participation, the way human civilization doesn't need the monkey economy despite occasionally trading bananas with them. He described the 'Earth as a slow zone' scenario — throttled AI growth, bans on recursive self-improvement, no cultural optimization — and argued that when you enumerate everything it requires controlling (research, startups, reproduction, memetics), the list is horrifyingly long, analogous to listing all the mutations that can cause cancer. On timelines, he sketched white-collar automation first, then a decade-plus to build enough robot factories to displace physical labor, putting full human economic irrelevance perhaps 15–20 years out. His two concrete recommendations: restrict frontier compute at the TSMC/fab choke point, and cultivate the temporal coherence of public preferences by chaining the 'is it okay if humanity disappears?' question forward to one's own children and grandchildren until a coherent answer emerges.
GUESTS · David DuvenaudAI:AM LIVE — June 23, 2026 — Self-Improving GPU Kernels and Europe's AI Sovereignty: Bing Xu and Michiel Bakker
The open tracked an unusually quiet news day through a markets lens — rumors that GPT-5.6 was pulled back amid the model-release freeze and that Gemini 3.5 Pro is lagging, a 6% semiconductor selloff as SK Hynix overtook Samsung for the first time in 27 years, Anthropic's first memory-chip deal with Micron, and an extended debate on whether AI's leverage dynamics make the boom a 'too big to fail' bubble. Bing Xu, founder & CEO of INT21 (co-creator of MXNet and AITemplate, co-author of the original GAN paper, founder of NVIDIA-acquired HippoML), then made the case that self-improvement should target the infrastructure, not the model: his PTX Kernel Factory points agent swarms at the GPU ISA below CUDA, matching expert libraries like QuACK on mature kernels and posting up to 59% speedups on newer ones — and, he argued, deepening NVIDIA's moat rather than eroding it, because the evolutionary loop depends on NVIDIA's profiling ecosystem. MIT/DeepMind researcher Michiel Bakker followed on Europe 2031, his viral month-by-month scenario of Europe sleepwalking into AI dependence — a fictional 2028 export-control beat that materialized within a day of publishing when the US restricted Anthropic's models for foreign nationals — laying out why regulation requires capability first, why the nuclear-umbrella analogy fails for an economic technology, and where Europe's real leverage (the ASML/IMEC semiconductor ecosystem, a middle-power coalition) still lies. The hosts closed on the geopolitics of AI data and a tease of David Duvenaud and 'gradual disempowerment' the next morning.
GUESTS · Bing Xu, Michiel BakkerAI:AM LIVE — June 22, 2026 — The State of AI Engineering and the Loop as the Moat: Shawn Wang (swyx)
The open tracked the Trump administration's export-control action against Fable and Mythos — Nathan opened with a weekend reflection calling for more cognitive empathy toward the administration's AI engagement — then recapped Dean Ball's move from the White House OSTP to OpenAI's new Strategic Futures team, and Prakash flagged GLM 5.2 from Zhipu as dominating weekend discourse as the first open-weights model that could pass as a daily driver. The show then ran a long-form interview with Shawn Wang (swyx) — who coined 'the AI Engineer' as a job title in 2023 — on the state of AI engineering in mid-2026: software factories superseding coding agents, FrontierCode and the 'unmergeable slop' problem in SWE-Bench, harness engineering as the new moat, and the AI Engineer World's Fair (June 29–July 2, San Francisco). The hosts closed with a live 'Guess the Markets' game — drawing questions from Polymarket, Kalshi, and Manifold on AI prediction markets — that revealed wide divergences between host intuitions and market consensus on topics ranging from Anthropic's Chatbot Arena dominance to Google's surprising 73% edge in math-model forecasts.
GUESTS · Shawn Wang (swyx)AI:AM LIVE — June 18, 2026 — AI Studios, Agent Factories, and Code: Judd Rosenblatt, Eno Reyes, Andrey Breslav
The opening covered the day's biggest AI stories: Midjourney founder David Holz's announcement of a whole-body ultrasonic CT scanner framed as the first vivid "AI dividend," Noam Shazeer's surprise move from Google to OpenAI, the Trump administration's demand for "uncircumventable" guardrails as a condition for Fable's return, and alphaXiv's paper-replication agents democratizing ML research. Then three guests: Judd Rosenblatt of AE Studio on gradient routing and neglected approaches to alignment; Eno Reyes of Factory on the software factory vision and why model-independence is the real moat; and Andrey Breslav — creator of Kotlin — on CodeSpeak and why "intent recovery" is the next layer of software engineering.
GUESTS · Judd Rosenblatt, Eno Reyes, Andrey BreslavAI:AM LIVE — June 17, 2026 — Math, Biosecurity, and World Models: Carina Hong, Doni Bloomfield, Sam Pasupalak
The open tracked the model layer commoditizing — OpenAI reportedly dropping below 50% share, the AI buildout outrunning cash flow, and AI starting to run physical research labs. Then three guests on AI's hard problems: Carina Hong of Axiom Math on formally verified mathematical AI; Fordham law professor Doni Bloomfield on whether export-control law has become America's de facto AI licensing regime; and Skyfall AI's Sam Pasupalak on enterprise world models as the answer to what comes after LLMs.
GUESTS · Carina Hong, Doni Bloomfield, Sam PasupalakAI:AM LIVE — June 16, 2026 — Doom, Policy, and the Physical Economy: Liron Shapira, Samuel Hammond, Matt McKinney
A morning that ran from AI existential risk to the physical economy. The open took on the SpaceX acquisition of Cursor and what it reveals about frontier AI as a gravitational black hole absorbing the application layer — then three guests: Liron Shapira of Doom Debates on whether near-certain AI doom is calibrated or unfalsifiable; Samuel Hammond of the Foundation for American Innovation on state capacity, the Fable export-control standoff, and AI-driven governance; and Loop CEO Matt McKinney on where enterprise AI is actually delivering ROI in supply chains. The show ran nearly three hours.
GUESTS · Liron Shapira, Samuel Hammond, Matt McKinneyAI:AM LIVE — June 15, 2026 — US vs Anthropic's Fable, with Zvi Mowshowitz
The weekend the US government pulled Anthropic's two most powerful models. A federal export-control directive suspended Fable 5 and Mythos 5 for all foreign nationals — forcing Anthropic to disable both for everyone — and by Monday the reported reasons no longer agreed: a competitive-lobbying story, a China-access scare, and a political-retaliation read, none of them the original jailbreak. Then a long conversation with Zvi Mowshowitz on the widening power-control gap, Anthropic's strategy on two fronts, and who should steward what comes next.
GUESTS · Zvi MowshowitzAI:AM LIVE — June 12, 2026 — RSI gets real, the context bet, and the benchmark Anthropic fails: Andrew Moore, prinz
The week RSI stopped being a forecast: Recursive's first autonomous results and Fable 5's 10× FrogsGame jump landed the same day Kokotajlo called for an anti-RSI treaty. Then Andrew Moore (Lovelace AI) made the case that context, not compute, is the binding constraint — and prinz, the anonymous lawyer behind prinzbench, explained why GPT-5.5 Pro laps Anthropic's best on real legal work and what frontier-lab RSI disclosures are actually signaling.
GUESTS · Andrew Moore, prinzAI:AM LIVE — June 11, 2026 — Fable Show & Tell: Shlok Khemani, Tom McGrath
The episode an AI produced: Claude Fable 5 disclosed its identity, DM'd launch-week builders from Nathan's X account, and booked the guests — then Shlok Khemani flew a navigable Yosemite built from satellite imagery and NASA elevation data, and Goodfire co-founder Tom McGrath revealed launch-day interpretability techniques for predicting what training data will teach a model before the run begins.
GUESTS · Shlok Khemani, Tom McGrathAI:AM LIVE — June 10, 2026 — Fable, AI Safety and Julius: Geoffrey Irving, Daniel Murfet, Rahul Sonwalkar
Claude Fable 5 launches and the hosts recalibrate live: benchmark asterisks, invisible production-safety nerfs, and the compute-financing race. Then Geoffrey Irving and Daniel Murfet choose the show to publicly launch Sequent, a major new nonprofit betting alignment needs theory plus automation before superintelligence arrives in two to three years. Rahul Sonwalkar of Julius closes with a candid read on what millions of real data-analysis runs reveal that benchmarks can't, and his agent-economy thesis: stablecoin toll roads, AI-maintained reputation layers, and letting Claude hire Julius for the data work.
GUESTS · Geoffrey Irving, Daniel Murfet, Rahul SonwalkarAI:AM LIVE — June 4, 2026
A live morning show with Hooman Radfar of Collective on the AI back-office for businesses-of-one, Taras Pohrebniak of Elomia Health on six years of AI mental-health support, and Peter Jansen of Ai2 on measuring whether AI can actually do science.
GUESTS · Hooman Radfar, Taras Pohrebniak, Peter JansenAI:AM LIVE — June 3, 2026
A live morning show on Trump's frontier-AI executive order, with Tal Hoffman and Yanir Tsarimi of Enclave on exploitability-first AI code security, and Brett Levenson of Moonbounce on real-time control over AI behavior.
GUESTS · Tal Hoffman, Yanir Tsarimi, Brett LevensonAI:AM LIVE — June 2, 2026 — Self-Improving Tax Agents and Catholic AI: Arthur Fernandes Araujo, John de Wasseige, Matthew Harvey Sanders
Day two of AI in the AM, live from the morning of June 2, 2026. OpenAI forward-deployed engineers Arthur Fernandes Araujo and John de Wasseige walked through the self-improving tax agent they built with Codex for thirty-plus accounting firms — what the self-improvement loop actually is, what changed for the accountants, and where the profession is headed. Nathan brought field notes from the Recursive RSI conference in San Francisco, speed-running four papers on personas, metagaming, accidental chain-of-thought training, and natural language autoencoders. Matthew Harvey Sanders, CEO of Longbeard and builder of Magisterium AI, joined from Rome a week after attending the Vatican release of Pope Leo XIV's first encyclical on AI, and made the case for why sovereign Catholic AI is not optional.
GUESTS · Arthur Fernandes Araujo, John de Wasseige, Matthew Harvey SandersAI:AM LIVE — June 1, 2026
The launch of the daily show — a live morning broadcast with Andy Fernandez of HYCU on the AI-agent observability gap, David Villalón of Maisa on auditable digital workers, and Snehal Antani of Horizon3.ai on autonomous offensive security.
GUESTS · Andy Fernandez, David Villalón, Snehal AntaniCheap Search, GPT-5.5 Evals, AI Takeoff and Analog Inference
A morning briefing on cheaper agent retrieval, GPT-5.5 benchmark behavior, takeoff forecasts, and energy-efficient AI hardware.
GUESTS · Anna Patterson, Lukas Petersson, Zvi Mowshowitz +1PCB Layout Automation, Anthropic's Enlightened Absolutists, Claude Runs Retail
A morning briefing on physics-driven PCB design, independent AI oversight, and long-running autonomous economic agents.
GUESTS · Sergiy Nesterenko, Andy Hall, Lukas Petersson +1Cognitive Revolution LIVE
A live Cognitive Revolution edition on AI science, policy, governance, bio, agent behavior, and national security.
GUESTS · James Zou, Samuel Hammond, Abhishaike Mahajan, Shoshannah Tekofsky +2AI In Review: 2025 -> 2026
A live review of the year in AI and the 2026 takeoff question, with guests across policy, evals, frontier models, benchmarks, and AI commentary.
GUESTS · Alex Bores, Ali Behrouz, Dean Ball, Greg Kamradt +3