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AI Reliability Videos

Videos about making AI systems dependable through testing, verification, monitoring, recovery, and careful operational boundaries.

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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
    AI Engineer18m 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
    AI Engineer17m 28s1 VIEW
  3. A flat attention-blue court filing icon beside the headline The Court Filing Had a Prompt on a black background.
    A Man Hacked the Court With a Prompt
    Stacked Podcast22m 1s
  4. The words Watermarks Won't Hold beside a simple document with a removed circular mark
    Why Claude Text Watermarks Won't Hold
    Theo31m 58s
  5. Ben Hylak beside the headline Reliable agents: Raise the floor.
    Designing Agents (The Floor Is the Frontier) - Ben Hylak, Raindrop
    AI Engineer19m 46s
  6. Yu Su explains how continual learning could turn general AI intelligence into reliable domain expertise.
    Intelligence + Continual Learning = Expertise - Yu Su, NeoCognition
    AI Engineer19m 43s
  7. Chelsea Finn in a blue top, lightly touching her chin, beside the white and blue Reliable Robots headline on black.
    Chelsea Finn: This is the State of the Art in Robotics
    Y Combinator58m 18s
  8. Stefania Druga beside the words Memory Harnesses for Research Agents
    Memory Harnesses for Long-Running Research Agents - Stefania Druga, Sakana AI
    AI Engineer13m 4s2 VIEWS
  9. Ronak Malde beside the words Scale Continual Learning
    Scaling Up Continual Learning - Ronak Malde, Trajectory
    AI Engineer23m 3s
  10. Parth Asawa beside the words Evaluate Continual Learning
    Beyond Static Intelligence: Evaluating Continual Learning - Parth Asawa, UC Berkeley
    AI Engineer20m 30s
  11. Gagan Bhat and Isabella Kai He in blue tops beside the white-and-blue headline “AGENT RUNTIMES EVOLVE” on black.
    Anthropic's Applied AI Team on the Evolution of Agentic Surfaces
    AI Engineer31m 24s
  12. Nan Jiang beside the headline RL Across Datacenters on a pure black background.
    Cross-Datacenter Reinforcement Learning with Nan Jiang
    AI Engineer19m 50s
  13. The words Agents Improve Their Harness beside one simple interlocking loop
    This AI Agent Can Improve Itself...
    AI Copium13m 57s
  14. Anirban Chatterjee beside the headline Guide Verify Solve on a pure black background.
    Guide, Verify, Solve - Anirban Chatterjee on AI Coding
    AI Engineer22m 31s
  15. Matt Dailey beside the headline Avoid Velocity Sickness on a pure black background.
    Avoiding Velocity Sickness in AI-Assisted Software Teams
    AI Engineer20m 37s
  16. Justin Smith beside the headline ALWAYS-ON AGENTS FOR PRODUCTION on a pure black background.
    How Always-On AI Agents Handle Production Work
    AI Engineer24m 56s1 VIEW
  17. Denys Linkov beside the headline CODING AGENTS MISS LEGACY RISKS on a pure black background.
    What Coding-Agent Benchmarks Miss in Legacy Refactors
    AI Engineer18m 8s
  18. Frank Coyle against a black background beside the headline “AGENT ENGINEERING ANTI-PATTERNS”.
    Anthropic's CCA Exam as a Field-Guide for Agentic Engineering - Frank Coyle, UC Berkeley
    AI Engineer20m 8s
  19. Portrait of Nate B. Jones beside the words Agents Chase Done
    Your Chatbot Hallucinated in 2024. Your Agent Lies in 2026.
    Nate B Jones16m1 VIEW
  20. Carter Abdallah in attention blue, Vincent Weisser in off-white, Lucas Atkins in dark blue and Chris Alexiuk in pastel yellow on a black background beside the headline “OWN YOUR AI MODEL”.
    Local Models: Trust, Control, Optimization - Carter Abdallah, NVIDIA
    AI Engineer43m 21s