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0:26ENSam Altman on Human Values and Problem-Solving in an AI WorldSam Altman · OpenAIIn a short interview excerpt, Altman considers the enjoyment of solving hard problems and the human role in interpreting results.
0:54ENSam Altman: Seek Major Life Advice From People, Not AISam Altman · OpenAIThe OpenAI CEO distinguishes practical AI assistance from consequential life advice and argues for assistants that can push back.
31:13ENTheo on Why Smarter Models Help More Than DevelopersTheo Browne · Ping LabsFrom game modifications to compiler experiments, Theo revisits his assumptions about who benefits from more capable AI.
0:35ENWhy Human Creativity Still Matters in the Age of AI ImagesMatthew Berman · Forward FutureMatthew Berman argues that producing more images is different from creating work that resonates with people.
2:50:40ENThey Priced the Chance She Would Leave. Then They Handed Her the Letter.Host 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.
51:55ENThe last IMO problem AI could not solveGrant Sanderson · 3Blue1BrownGrant Sanderson walks through IMO 2025 Problem 6 — a tiling puzzle that frontier models missed — and the visual patience it takes to prove a construction is optimal.
38:21ENHow Theo Works With One Hand: Dictation and Coding AgentsTheo Browne · T3After a hand injury, Theo Browne combines voice input, one-handed navigation and agents to reduce friction in his daily work.
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.
51:15ENHow Theo Refined His AGENTS.md and Skills From Real Agent FailuresTheo Browne · t3.ggTheo Browne explains how he audits agent sessions, writes project guidance and shares skills across machines without treating his configuration as a template.
0:42ENTheo on Using an AI Agent to Test Debugging HypothesesTheo Browne · Ping LabsWhen a model could not find a problem on its own, Theo asked it to build a tool for testing his theories.
27:32ENHow Theo Diagnosed a T3 Code Rendering Problem with Coding AgentsTheo Browne · Ping LabsA fast-looking idle page heated a laptop. Theo used agent-built experiments to isolate animations and compositing effects after confident diagnoses missed the cause.
23:37ENTheo on Linus Torvalds, AI Review and Open-Source MaintainersTheo Browne · Ping LabsA Linux mailing-list debate prompts a discussion of AI code review, maintainer workload and why developers experience tools differently.
1:15ENUsing Codex to Negotiate a Return and Subscription RefundMatthew Berman · Forward FutureMatthew Berman describes delegating two customer-service conversations to an AI agent and reports the outcomes.
0:33ENTheo on Shared AI Conversations and Team CollaborationTheoA shared Claude conversation in Slack lets teammates see and continue the same work. Theo argues that this kind of collaboration differs from a GitHub-centered workflow.
0:48ENTheo Responds to Karpathy’s Discussion of Claude in SlackTheoTheo says a post about tagging Claude in Slack may seem surprising, but he sees lessons for the AI industry in the feature.
20:47ENFrom Chatbots to Team Agents: Theo on Karpathy’s Claude Tag ThesisTheoTheo explores shared channel context, asynchronous agents and the trade-off between a ready-made team workflow and model choice.
1:45:59EN87% of Workers Use AI. Only 13% Say the Company Got Better.Host Nathan LabenzGlean’s Work AI Index names the missing hours: botsitting, botshitting, and a hamster wheel of polished nonsense.
44:52ENAnthropic’s Recursive Self-Improvement Report: Evidence, Limits and a Debate Over Slowing AIMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s 2026 claims about AI-assisted development, research benchmarks and possible paths to autonomous self-improvement.
38:50ENCan AI Help Less Experienced Engineers Grow?TheoTheo discusses coding assistants, team coordination and the difference between learning with AI and blindly relaying its output.
47:33ENHow Theo’s AI Coding Workflow ChangedTheoA walkthrough of remote agents, project context, short prompts, verification and pull-request decisions.
36:05ENWhen AI Agents Should Use HTML Instead of MarkdownTheo Browne · T3Theo explores interactive reports, visual plans, code review, and one-off tools while weighing the costs of generated HTML.
56:43ENTheo on AI Coding, Cognitive Debt and Keeping Your SkillsTheo Browne · Ping LabsCoding agents can speed up development and learning, but outsourcing understanding creates a different kind of debt.
1:23:53ENCreators Cheer Filler-Word Removal and Boo Generative VideoHost 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.
54:06ENLearning to Code and Finding Opportunities as a New DeveloperTheo Browne · T3Theo Browne reflects on the circumstances behind his first job and discusses feedback, community, AI-assisted learning and human connections.
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