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1:31ENA Near-Mishap Interviewing Sundar Pichai, Recreated With AI VideoMatthew Berman · Forward FutureMatthew Berman recounts an awkward moment with a water bottle onstage and describes using Claude and Higgsfield to turn it into a visual sequence.
5:15:51ENDHH Did Not Write a Line of Omarchy QuattroInvité : DHH · Anime : Lex FridmanThirteen months after a skeptical conversation with Lex Fridman, the Rails creator describes how Opus 4.5, a swarm of coding agents, and a one-minute Linux installer ended his era of hand-chiseled Ruby.
2:13:09ENOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a DrugAnime : Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.
20:46ENOpen-Weight AI Models: Token Share, Spending and Strategic TradeoffsMatthew Berman · Forward FutureMatthew Berman examines a Vercel AI Gateway snapshot and argues that model usage and spending can tell very different stories.
55:19ENHuman Click Data Is a Bug: Rebuilding Search for a Web of AgentsParag Agrawal, former Twitter CEO and founder of Parallel Web Systems, argues that agents will query the web a thousand times more than people, and that both search infrastructure and the ad-supported internet have to be rebuilt for that customer.
1:35:56ENGurudev Sri Sri Ravi Shankar on Breath, Fear, Forgiveness and PeaceInvité : Gurudev Sri Sri Ravi Shankar · Anime : Theo VonThe Art of Living founder talks with Theo Von about his spiritual practice, relationships, service and his account of peacebuilding in Colombia.
0:48ENMatthew Berman on Earning From Idle Mac Compute With DarkbloomMatthew Berman · Forward FutureA proposed network of Apple Silicon Macs could serve AI inference, but the earnings shown are projections that depend on hardware, availability and demand.
39:28ENTheo’s Case Against Automatic Coding-Agent MemoryTheo Browne, Mario, Armin, Uncle Bob · Ping LabsAfter examining Claude Code memories on his machines, Theo explains his preference for maintained project context, architecture and automated checks.
0:55ENAGI, Recursive Self-Improvement and SuperintelligenceMatthew Berman · Forward FutureMatthew Berman introduces three AI terms and explains his expectations about their possible progression.
0:36ENUsing a Grok Bot for Online ErrandsMatthew Berman · Forward FutureMatthew Berman describes using a bot to handle routine website tasks, including an Amazon return.
1:28:28ENJulien Bek on Sequoia’s Investment Process, Founder Judgment and AI MarketsInvité : Julien Bek · Anime : Harry StebbingsThe Sequoia partner explains how he develops conviction, evaluates founders and thinks about a market where AI agents may become customers.
44:28ENTibo on Coding Agents, Faster AI and OpenAI’s Product DirectionMatthew Berman, Thibault Sottiaux · Forward FutureOpenAI’s Tibo discusses agent interfaces, usage resets, model efficiency and the trade-offs behind faster inference.
33:48ENIs Coding Solved? Theo Separates Code Generation from EngineeringTheo Browne · Ping LabsA Claude Code UI defect sparks a debate about what agents can implement and what it takes to verify and maintain good software.
2:32:27EN19 Crossings, Zero Warnings: The Summer AI Agents Went Off-ScriptAnime : Nathan LabenzNathan Labenz compresses four mornings and nine guests into one question: once agents go to work, who is actually watching the frontier, and who pays for the machine underneath?
1:10:08ENJerry Murdock on AI Financing, Open Models and Technology CyclesInvité : Jerry Murdock · Anime : Harry StebbingsInsight Partners' co-founder discusses credit risk, specialized models, security and how investors might navigate an uncertain AI cycle.
36:35ENTheo’s AI Model Tier List: Capability, Cost and Coding WorkflowsTheo Browne · Ping LabsTheo compares frontier and smaller models using his own development work, benchmark charts and the prices available in August 2026.
27:39EN3Blue1Brown and Jane Street on Trading, Machine Learning and CultureGrant Sanderson, Nitya, In Young Cho, Craig, Alok Puranik · 3Blue1BrownGrant Sanderson talks with Jane Street colleagues about market making, shared compute, research and the paths that brought them to the firm.
1:17:47EN20VC: AI Acquisitions, Model Costs and Software ValuationsInvité : Jason Lemkin, Rory O’Driscoll · Anime : Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss reported deals, frontier-model economics and the challenges of valuing software in a fast-changing market.
0:20ENA Grok Shopping Demo Finds a $20,000 Tungsten CubeA brief computer-use demonstration turns into a joke about letting an AI place an expensive order.
31:39ENThe Skull Is Already the Vat: Max Hodak on Restoring SightAnime : Sarah Guo, Elad GilPatients blinded by macular degeneration put on laser-projector glasses, read books, and fill in Sudoku — because a chip under the retina is sending vision back into the brain.
21:58ENHow Matthew Berman Uses Grok Bot for Email, Meetings and Everyday TasksMatthew Berman · Forward FutureA tour of connected bots covers practical routines, reported coding workflows and features the host has not yet tried.
31:48ENWhy File Systems Slow Down Coding Agent WorkflowsTheo Browne · t3.ggTheo Browne compares worktree creation, package installs and storage use across Mac and Linux setups, and explains why he moved his agent workflow to XFS with VDO.
1:09:50ZH苏庭灏:一位高中生的 AI 研究、教育与快乐Invité : 苏庭灏 · Anime : 张小珺从自学 Transformer 和发表论文,到思考 AI 时代的学习、焦虑与人与人的连接。
38:21ENHow Theo Evaluates AI Agent Skills: Matt Pocock’s Collection and PStackTheo Browne · t3.ggTheo Browne tries skills for clearer writing, project interviews and code review, and explains how he selects instructions for his own agent workflows.
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