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1:40:44ENGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4Moderation: Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.
7:05ENAider’s Early Coding Assistant: Snake and an Existing Rails ProjectMatthew Berman · Forward FutureMatthew Berman demonstrates the terminal tool’s 2023 workflow, from generating and iterating on a game to proposing a dependency change in a repository.
1:47:05ENEdit Meaning, Not Tokens: Linus Lee on Latent-Space InterfacesModeration: Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.
5:11ENAI Memory in 2023: Long Context, Retrieval and Recurrent MemoryMatthew Berman · Forward FutureMatthew Berman compares external agent memories with a recurrent-memory research experiment, and explains why longer context remains a limited result.
17:22ENDon't Become a Software Factory: Why Context Is the Real ProductModeration: Lenny RachitskyLinear CEO Karri Saarinen argues that as AI automates execution, product teams must protect the learning that makes great products possible.
1:36:57ENDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding AssistantModeration: Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.
21:31ENRowing or Steering: How Atlassian's PMs Became AI BuildersModeration: Lenny RachitskyAtlassian CPO Tamar Yehoshua explains, through three internal projects, when product managers should write code and when they should guide the team.
54:52ENCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next FrontierModeration: Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.
1:03:10ENPause Tokens, Analogical Prompts and Ring Attention: A Tour of the Transformer's Next UpgradesModeration: Nathan LabenzNathan Labenz and Trey Kollmer walk through five recent papers on pausing, backspacing, prompting, streaming and long-context training, and sketch how they might combine into a more capable model.









