絞り込み結果
957 件並び順
56:10ENReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the Cardホスト 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.
2:33:35ENA security researcher audits the AI stack that booked a week of guestsホスト Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
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 sprintホスト Nathan Labenz80,000 Hours founder Ben Todd on how to spend a career in the years when your impact on AI will actually peak.
2:13:11ENThe Models Understand Shutdown. They Just Don't Care.ホスト Nathan LabenzPalisade Research's Jeffrey Ladish on shutdown resistance, open-weight self-replication, and why all compute looks like food to a strategic agent.
59:41ENThe GPT moment for video hasn’t arrived, but AGI may already be hereホスト 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.
1:01:14ENThe Model Eats the Scaffolding: How Google Plans to Ship Agents Everywhereホスト 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.
1:34:54ENSix Months, Eighty Percent Churn, Five Times the Tokensホスト Nathan LabenzTasklet CEO Andrew Lee tells Cognitive Revolution how he rewrote the stack, why most lost users leave for Anthropic, and why he thinks only three kinds of software company survive.
1:21:56ENYann LeCun Left Meta Because LLMs Will Not Get You to Intelligenceホスト Jacob EffronThe Turing Award winner tells Jacob Effron why he spun AMI Labs out of Meta, why JEPA-style world models beat pixel generators, and why he thinks Hinton changed his mind in 2023.
0:56ENA Claimed Crypto Wallet Recovery Using Claude CodeMatthew Berman · Forward FutureMatthew Berman recounts a viral account of recovering access to an old Bitcoin wallet with an AI coding tool.
1:42:54ENAI and Cybersecurity: Matthew Berman’s Warnings, Predictions and Open QuestionsMatthew Berman · Forward FutureA livestream reviews reported AI-assisted threats and debates whether stronger defensive models can keep pace with attackers.
1:26:16ENMilliseconds to Match: How Criteo Bids on a Billion Anonymous Profilesホスト Nathan LabenzCriteo’s CTO and AI lab head walk through the millisecond auction, the DeepKNN-to-foundation-model stack, and why a live product catalog still beats a frozen LLM.
1:03ENWhy EVE Online Is an Interesting Environment for AI ResearchMatthew Berman · Forward FutureMatthew Berman explains why the game's persistent economy and player alliances may offer a demanding test of long-term planning.
1:23:53ENCreators Cheer Filler-Word Removal and Boo Generative Videoホスト Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.
1:48:43ENThe reward jumped from 3 to 180. Every Hacker News title was a Google layoff.ホスト Nathan LabenzCoreWeave's Kyle Corbitt walks Nathan Labenz through GRPO, rubrics, RL environments, and why most reward hacks are easy to catch once you know to look.
2:38:48ENA thousand searches for five cents, and a high score that did not require cheatingホスト Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.
3:36:29ENClaude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed Neutralホスト Nathan LabenzCameron Berg returns to The Cognitive Revolution to survey six months of introspection, functional-emotion, and model-welfare research, plus a still-unpublished case that learning and feeling may be the same phenomenon.
2:12:51ENSteve Newman’s fifteen-app stack exists so he only has to look at one screenホスト Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.
2:31:27ENAn AI store manager, a 2.6-star rating, and a constitution nobody has to keepホスト Nathan LabenzA live Cognitive Revolution episode puts PCB layout, AI constitutions, and San Francisco’s first AI-run grocery on the same morning clock.
3:10:49ENCrunch Time: Ajeya Cotra's Playbook for the Months Before Superintelligenceホスト Nathan LabenzA conversation on recursive self-improvement, public warning systems, and using each generation of AI to align and control the next.
58:46ENTwo Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028ホスト Jacob EffronJakub Pachocki tells Jacob Effron why those timelines still hold, why continual learning is not a detour, and why showing chain of thought in the product would train the monitor away.
2:03:23ENWe Have No King: How Viking Raiders Remade Medieval Europeホスト Lex FridmanHistorian Lars Brownworth walks Lex Fridman from Lindisfarne to Vinland, arguing that three centuries of raids were a lesson in speed, pragmatism, and creative destruction.
1:37:50ENGranola Added More Customers Than Almost Anyone by Being Surprisingly Unambitiousホスト Nathan LabenzCo-founder Sam Stephenson tells Nathan Labenz how a calm notes app for frazzled meeting days, one Slack-sharing loop, and a refusal to promise the burning-fire work built a $1.5 billion company.
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