최신 글
4,348개정렬
1:46:04EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 27일팟캐스트The Training Worked. It Just Worked Too Well.진행자 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.
27:29EN
Theo - t3․gg· 2026년 9월 27일What 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.
43:43EN
Machine Learning Street Talk· 2026년 9월 26일팟캐스트 · 2명Can an Agent Improve Its Own Research Harness?게스트 Zhengyao Jiang · 진행자 Tim ScarfeZhengyao Jiang discusses Weco’s experiment, held-out tests and limits.
1:08:54EN
20VC with Harry Stebbings· 2026년 9월 26일팟캐스트 · 2명Parag Agrawal on Web Search and Business Models for AI Agents게스트 Parag Agrawal · 진행자 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· 2026년 9월 26일팟캐스트 · 4명All-In on AI Liability, Open Models and the Frontier Business진행자 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· 2026년 9월 26일Robot-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"· 2026년 9월 26일팟캐스트They Priced the Chance She Would Leave. Then They Handed Her the Letter.진행자 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· 2026년 9월 25일팟캐스트Sarah Paine on Why Wars Are Difficult to EndA historical lecture on limited objectives, escalation, intervention and resistance after conventional defeat.
28:41ENTheo - t3․gg· 2026년 9월 25일How 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.
28:24EN
GOTO Conferences· 2026년 9월 25일Will 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"· 2026년 9월 25일팟캐스트AI Safety's Real Shortage Is Founders, Not Ideas진행자 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.
10:38EN
Matthew Berman· 2026년 9월 24일Jev 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· 2026년 9월 24일Grok 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.
42:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 24일팟캐스트 · 2명They Paid $7.7 Billion for a Broker — and Intend to Do One Deal a Year진행자 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· 2026년 9월 24일Opus 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· 2026년 9월 24일팟캐스트 · 3명AI Agents, Venture Pricing and the Tradeoffs Behind the Funding Boom게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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· 2026년 9월 23일Aaron 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· 2026년 9월 23일Thinking 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· 2026년 9월 23일Opus 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· 2026년 9월 23일팟캐스트 · 2명Reid Hoffman on AI Warnings and a Dual Mandate진행자 Aria Finger, Reid HoffmanA debate over risk, public benefits and the future of AI development.
31:59ENMatthew Berman· 2026년 9월 23일Claude 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· 2026년 9월 23일팟캐스트 · 2명Maggie Appleton on Design Engineering in the Age of Agents게스트 Maggie Appleton · 진행자 Gergely OroszSketches, live prototypes and human judgment in collaborative software design.
7:26ENMatthew Berman· 2026년 9월 23일GPT-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· 2026년 9월 23일팟캐스트 · 2명Frank Hutter on TabPFN: Learning to Predict from Tables게스트 Frank Hutter · 진행자 Tim ScarfeA discussion of synthetic priors, Bayesian prediction and causal limits.더 보기4,348개 중 24개 표시