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56:10ENReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the CardModeration: Jacob EffronSebastian Mallaby's biography of Demis Hassabis, discussed with Jacob Effron, is a story of a founder who tried to stop the AI race and then became one of its central players.
1:14:12ENBrendan Foody on Mercor, AI Data and the Future of WorkGast: Brendan Foody · Moderation: Harry StebbingsThe Mercor CEO discusses a security incident, data-provider economics, enterprise agents and the uncertain effects of AI on employment.
1:34:36ENNate Foster: Treating the Network as a ProgramYaron Minsky, Nate Foster · Jane StreetFrom programmable switches to BGP, a programming-languages researcher explains how higher-level policies and formal models can make networks easier to change.
2:33:35ENA security researcher audits the AI stack that booked a week of guestsModeration: Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
56:55ENNico Laqua on Corgi’s Work Culture, Fundraising and AIGast: Nico Laqua · Moderation: Harry StebbingsCorgi’s co-founder describes a seven-day work culture, the company’s cafe and equity practices, and his approach to investors and AI.
2:22ENPioneer Agent and Automated Fine-Tuning of Small ModelsMatthew Berman · Forward FutureIn a Fastino-sponsored video, Matthew Berman describes a system that automates parts of model adaptation and discusses its reported benchmark results.
21:56ENMatthew Berman on Pope Leo XIV’s AI Encyclical and Anthropic’s RoleMatthew Berman, Chris Olah · Forward FutureA close reading of Magnifica humanitas raises questions about human dignity, AI companionship, concentrated power and who should govern AI.
2:53:42ENThe Moon Is Falling. It Just Keeps Missing.Gast: Biggest Mysteries in Physics · Moderation: Lex FridmanFermilab physicist Don Lincoln tells Lex Fridman that the history of physics is a history of unification, and that antimatter, dark energy, and a theory of everything still sit far beyond the experiments we can run.
1:27:44ENAI Spending, Layoffs and IPO Speculation: Jason Lemkin and Rory O’Driscoll on the Economics of AgentsGast: Jason Lemkin, Rory O’Driscoll · Moderation: Harry StebbingsA 20VC roundtable examines how businesses weigh AI tokens against human work, and how investors assess infrastructure startups amid uncertain valuations and reported IPO plans.
41:09ENAfter Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big OnesModeration: Sarah Guo, Elad GilTwo years ago enterprise security buyers told Maxim Bar Kogan he was too early. Now Fortune 10 companies are calling a sub-100-person Israeli startup because they cannot stop agent adoption — only reduce the chance the next action is illegitimate.
2:34:17ENMatthew Berman Tests Claude Opus 4.8 and Dynamic Workflows LiveMatthew Berman · Forward FutureA launch-day walkthrough compares Anthropic’s reported benchmarks with informal coding experiments and a multi-agent website redesign.
17:03ENDeepSWE: Testing Coding Agents on Longer Software TasksMatthew Berman · Forward FutureMatthew Berman reviews Datacurve’s benchmark, its verifier audit and the tradeoffs of comparing models under a shared harness.
1:41:58ENA thousand people on guard, a million in the sprintModeration: Nathan Labenz80,000 Hours founder Ben Todd on how to spend a career in the years when your impact on AI will actually peak.
45:33ENCursor Ships 1TB of Composer Weights Across Oceans in Under a MinuteFederico Cassano and Fireworks' Dima walk through the globally split RL stack that trained Composer 2 on a sparse trillion-parameter MoE.
31:22ENCursor Composer 2.5 and the Economics of Coding ModelsMatthew Berman, Sundar Pichai · Forward FutureMatthew Berman examines coding benchmarks, model costs and enterprise budgets, then considers Cursor’s partnership with SpaceX and Anthropic’s demand for compute.
1:07:45ENAndrew Feldman on AI Chips, Data Centers and Compute DemandGast: Andrew Feldman · Moderation: Harry StebbingsCerebras’s CEO discusses memory supply, inference speed, community impacts and US chip policy.
2:13:11ENThe Models Understand Shutdown. They Just Don't Care.Moderation: Nathan LabenzPalisade Research's Jeffrey Ladish on shutdown resistance, open-weight self-replication, and why all compute looks like food to a strategic agent.
1:23:34EN20VC on Enterprise Sales Hiring, Compensation and AIGast: Chad Peets, Chris Degnan · Moderation: Harry StebbingsChad Peets and Chris Degnan discuss building sales teams, forecasting revenue and competing for talent while AI changes enterprise markets.
59:41ENThe GPT moment for video hasn’t arrived, but AGI may already be hereModeration: Jacob EffronA day after Google I/O 2026, Gemini co-lead Oriol Vinyals argues that world models, file-system memory, and infinite-complexity RL environments will define the next era of frontier models.
1:27:17ENAI Funding, IPO Expectations and the Politics of Layoffs: Jason Lemkin and Rory O’DriscollGast: Jason Lemkin, Rory O’Driscoll · Moderation: Harry StebbingsA 20VC roundtable examines reported Anthropic financing, AI spending, software valuations, chip infrastructure and speculative IPOs, then considers the politics of job losses.
29:36ENJane Street on GPU Infrastructure, Trading and HiringDwarkesh Patel, Yaron Minsky, Daniel Pontecorvo · Dwarkesh PatelDwarkesh Patel speaks with Ron Minsky and Dan Pontecorvo about trading at different speeds, building data centers and expanding compute and teams.
30:34ENCerebras Waited Ten Years for a Market That Finally Needed SpeedModeration: Sarah Guo, Elad GilFounder and CEO Andrew Feldman walks No Priors through wafer-scale chips, a $20 billion OpenAI deal, and why a dinner-plate processor only mattered once AI became an everyday tool.
18:39ENMatthew Berman on Andrej Karpathy Joining Anthropic and AI PessimismMatthew Berman, Eric Schmidt · Forward FutureKarpathy’s move to Anthropic prompts a reflection on research talent, public anxiety and how the AI industry talks about the future. Berman separates his own optimism from the harder question of what motivates someone else’s career choice.
1:01:14ENThe Model Eats the Scaffolding: How Google Plans to Ship Agents EverywhereModeration: Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.
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