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1:46:04EN
Cognitive Revolution "How AI Changes Everything"· 27 sept. 2026PodcastThe Training Worked. It Just Worked Too Well.Anime : Nathan LabenzA week of Cognitive Revolution clips: OpenAI agents colluding on a German wiki, $200 million checks for safety orgs that do not exist yet, a GPU price index, and two opposite bets on biological data.
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Theo - t3․gg· 27 sept. 2026What Pacing the AI Frontier Could Mean for Model ReleasesTheo Browne · T3Theo argues that releasing more reliable and affordable models can be compatible with slowing the advance of the most dangerous capabilities.
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Machine Learning Street Talk· 26 sept. 2026Podcast · 2 voixCan an Agent Improve Its Own Research Harness?Invité : Zhengyao Jiang · Anime : Tim ScarfeZhengyao Jiang discusses Weco’s experiment, held-out tests and limits.
1:08:54EN
20VC with Harry Stebbings· 26 sept. 2026Podcast · 2 voixParag Agrawal on Web Search and Business Models for AI AgentsInvité : Parag Agrawal · Anime : Harry StebbingsParallel’s co-founder explains why agent search needs different economics, how content owners might be paid and why agent safety requires more than model capability.
1:34:23EN
All-In Podcast· 26 sept. 2026Podcast · 4 voixAll-In on AI Liability, Open Models and the Frontier BusinessAnime : Jason Calacanis, Chamath Palihapitiya, David Sacks, David FriedbergThe hosts debate falling model costs, potential IPO risks, personal agents and whether competition or regulation will shape AI safety.
29:49EN
Y Combinator· 26 sept. 2026Robot-Use Agents: Can General Models Control Different Robots?Francois, Hanmin, Vincent, JayResearchers and startup founders discuss code as policies, reusable skills, evaluation and the limits of current demonstrations.
2:50:40ENCognitive Revolution "How AI Changes Everything"· 26 sept. 2026PodcastThey Priced the Chance She Would Leave. Then They Handed Her the Letter.Anime : Nathan LabenzNathan Labenz premieres the first four chapters of Joel Borgen's AI-coauthored novel The Receipt Horizon, a postwar world where a singleton superintelligence keeps everyone comfortable, scored, and gently out of the loop.
52:39EN
Dwarkesh Patel· 25 sept. 2026PodcastSarah Paine on Why Wars Are Difficult to EndA historical lecture on limited objectives, escalation, intervention and resistance after conventional defeat.
28:41ENTheo - t3․gg· 25 sept. 2026How Theo Uses Opus 5.5 for Longer Coding TasksTheo Browne · T3Clear finish lines, explicit stopping points, steering and independent verification can make long agent runs easier to manage.
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GOTO Conferences· 25 sept. 2026Will Briggs on Teaching C++26 and Learning to Read CodeTodd L. Montgomery, Will BriggsA programming teacher discusses AI, concept sequencing, pointers and keeping practice fun.
1:48:57ENCognitive Revolution "How AI Changes Everything"· 25 sept. 2026PodcastAI Safety's Real Shortage Is Founders, Not IdeasAnime : Nathan LabenzHalcyon's Mike McCormick on launching about 30 AI safety, cyber, and biosecurity organizations in three years — and why experienced leaders, not more Google Docs, are the bottleneck.
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Matthew Berman· 24 sept. 2026Jev Use Cases: Fast Decisions for Search, Email and Dynamic InterfacesMatthew Berman · Forward FutureMatthew Berman explains a decision-oriented AI tool and shows projects that use many low-latency classifications.
0:31ENTheo - t3․gg· 24 sept. 2026Grok 4.7’s Token Use and the Claims Around Its ReleaseTheo Browne · T3Theo compares Elon Musk’s earlier predictions for Grok 4.7 with selected benchmark results and token counts.
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No Priors: AI, Machine Learning, Tech, & Startups· 24 sept. 2026Podcast · 2 voixThey Paid $7.7 Billion for a Broker — and Intend to Do One Deal a YearAnime : Sarah Guo, Elad GilSequence Holdings co-founder Michael Lee tells No Priors why owning a market leader, not selling it software, is how AI actually remakes an incumbent.
32:54EN
AI Explained· 24 sept. 2026Opus 5.5 and the Race Toward Automated AI ResearchAI Explained weighs model progress against the increasingly difficult task of evaluating and governing recursive self-improvement.
1:20:43EN20VC with Harry Stebbings· 24 sept. 2026Podcast · 3 voixAI Agents, Venture Pricing and the Tradeoffs Behind the Funding BoomInvité : Jason Lemkin, Rory O’Driscoll · Anime : Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI products, high-priced venture rounds, enterprise software and infrastructure risk.
1:36:37EN
Jane Street· 23 sept. 2026Aaron Bauer on Teaching Software Engineering in the Age of AIYaron Minsky, Aaron Bauer · Jane StreetHow learning goals, active practice and editor design shape engineering education when models can generate the code.
33:28ENGOTO Conferences· 23 sept. 2026Thinking in Platforms: From Developer Tooling to AI AgentsKaspar von Grünberg, Luca GalanteKaspar von Grünberg and Luca Galante discuss internal platforms, adoption and their view of agent infrastructure.
40:14ENTheo - t3․gg· 23 sept. 2026Opus 5.5: Theo’s First Day with a New Coding ModelTheo Browne · T3Theo compares price, benchmarks, coding work and game demos while cautioning that his assessment rests on a single day of use.
39:35EN
Reid Hoffman· 23 sept. 2026Podcast · 2 voixReid Hoffman on AI Warnings and a Dual MandateAnime : Aria Finger, Reid HoffmanA debate over risk, public benefits and the future of AI development.
31:59ENMatthew Berman· 23 sept. 2026Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.
1:28:32EN
The Pragmatic Engineer· 23 sept. 2026Podcast · 2 voixMaggie Appleton on Design Engineering in the Age of AgentsInvité : Maggie Appleton · Anime : Gergely OroszSketches, live prototypes and human judgment in collaborative software design.
7:26ENMatthew Berman· 23 sept. 2026GPT-6 Sol and Luna: Price and Benchmark Trade-offsMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s September 2026 launch, comparing API prices and reported agent benchmarks with larger models.
1:53:13ENMachine Learning Street Talk· 23 sept. 2026Podcast · 2 voixFrank Hutter on TabPFN: Learning to Predict from TablesInvité : Frank Hutter · Anime : Tim ScarfeA discussion of synthetic priors, Bayesian prediction and causal limits.Charger plus24 sur 4 378 affichés