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  1. Paul Klein IV explaining browser-agent harnesses, authentication and reliable web infrastructure.
    Bringing agents onto the world wide web - Paul Klein IV, Browserbase
    18m 26s
  2. Pierluca D'Oro beside the headline Can Your Benchmark Be Replayed?
    Computer Use at the Edge of the Statistical Precipice - Pierluca D'Oro, Programma Labs
    17m 28s
  3. Dhruv Batra beside the headline THE WEB HAS AN API GAP
    Computer-use models will agentify the web, not APIs - Dhruv Batra, Yutori
    21m
  4. Vivek Trivedy with the headline Better Agents Start With Traces.
    Improving Agents is a Data Mining Problem - Vivek Trivedy, LangChain
    20m 2s
  5. Shlok Khemani explains personal AI memory, user profiles, stale facts and missing context.
    Lessons from Studying Every Memory System - Shlok Khemani, Independent
    19m 31s
  6. Ben Hylak beside the headline Reliable agents: Raise the floor.
    Designing Agents (The Floor Is the Frontier) - Ben Hylak, Raindrop
    19m 46s
  7. Samuel Denton beside the headline Continual Learning at Work on a black background.
    Bringing Continual Learning into Enterprises - Samuel Denton, Applied Compute
    19m 3s2 VIEWS
  8. Ben Holmes and Andrej Karpathy beside the headline Raw notes to living wikis.
    LLM Knowledge Bases: a practical guide - Ben Holmes, Warp
    21m 17s
  9. Sara Hooker discusses automated model adaptation, data quality and broader access to AI research.
    Adaption Labs: Gradient-Free Continual Learning - Sara Hooker, Adaption
    20m 51s
  10. Yu Su explains how continual learning could turn general AI intelligence into reliable domain expertise.
    Intelligence + Continual Learning = Expertise - Yu Su, NeoCognition
    19m 43s
  11. Jack Morris beside the words Scaling Compute on Context
    Scaling Compute on Context - Jack Morris, Engram
    19m 42s
  12. Stefania Druga beside the words Memory Harnesses for Research Agents
    Memory Harnesses for Long-Running Research Agents - Stefania Druga, Sakana AI
    13m 4s
  13. Ronak Malde beside the words Scale Continual Learning
    Scaling Up Continual Learning - Ronak Malde, Trajectory
    23m 3s
  14. Parth Asawa beside the words Evaluate Continual Learning
    Beyond Static Intelligence: Evaluating Continual Learning - Parth Asawa, UC Berkeley
    20m 30s
  15. Aditya Khandelwal beside the headline Ship Together with Agents on a pure black background.
    Aditya Khandelwal on AI Agents, Codebases and Teams
    16m 57s
  16. Nan Jiang beside the headline RL Across Datacenters on a pure black background.
    Cross-Datacenter Reinforcement Learning with Nan Jiang
    19m 50s
  17. Dominik Kundel beside the headline Inside the Codex Harness on a pure black background.
    Dominik Kundel Explains the Codex Agent Harness
    20m 55s2 VIEWS
  18. Arjun Singh beside the headline Multiplayer AI Engineering on a pure black background.
    Arjun Singh's Six Lessons for Collaborative Coding Agents
    18m 44s
  19. Anirban Chatterjee beside the headline Guide Verify Solve on a pure black background.
    Guide, Verify, Solve - Anirban Chatterjee on AI Coding
    22m 31s
  20. Matt Dailey beside the headline Avoid Velocity Sickness on a pure black background.
    Avoiding Velocity Sickness in AI-Assisted Software Teams
    20m 37s