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1:08:54ENParag 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.
1:34:23ENAll-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.
29:49ENRobot-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.
2:50:40ENThey 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.
52:39ENSarah Paine on Why Wars Are Difficult to EndA historical lecture on limited objectives, escalation, intervention and resistance after conventional defeat.
28:41ENHow 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.
28:24ENWill 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.
1:48:57ENAI 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.
10:38ENJev 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.
0:31ENGrok 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.
42:44ENThey 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.
32:54ENOpus 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.
1:20:43ENAI 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.
1:36:37ENAaron 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.
33:28ENThinking 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.
40:14ENOpus 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.
39:35ENReid Hoffman on AI Warnings and a Dual Mandate진행자 Aria Finger, Reid HoffmanA debate over risk, public benefits and the future of AI development.
31:59ENClaude 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.
1:28:32ENMaggie Appleton on Design Engineering in the Age of Agents게스트 Maggie Appleton · 진행자 Gergely OroszSketches, live prototypes and human judgment in collaborative software design.
7:26ENGPT-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.
1:53:13ENFrank Hutter on TabPFN: Learning to Predict from Tables게스트 Frank Hutter · 진행자 Tim ScarfeA discussion of synthetic priors, Bayesian prediction and causal limits.
25:30ENLuca Ferrari on Buying Product-Market Fit and Building Bending Spoons게스트 Luca Ferrari · 진행자 Chamath Palihapitiya, Jason CalacanisThe CEO explains the company’s $40,000 beginning, shared technology platform, acquisition criteria and approach to financing.
27:53ENGrok 4.7: Strong Codebase Investigation, Uneven ValueTheo Browne · T3Theo compares launch claims, token costs, benchmarks and his own codebase and game tests, finding useful review behavior alongside significant tradeoffs.
1:01:33ENSpec-Driven Development with Coding Agents: Write the Spec, Let the Agent BuildAndrew Ng, Paul Everitt · DeepLearning.AIJetBrains developer advocate Paul Everitt walks through a full spec-driven workflow: a project constitution, feature loops of plan–implement–validate, and agent skills that travel across tools. The alternative to vibe coding is a markdown contract the agent cannot forget.
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