Skip to content
HomeVideosBooksBlogsPodcasts
EpisodesShowsTopics
HistoryListsWatch laterLiked videosFollowing

The videos, books, blogs and podcasts Hacker News keeps recommending, all in one place.

VideosBooksBlogsPodcastsAboutPrivacySettings

Data from Hacker News, HackerTube, HackerBooks, HackerBlogs and Open Library. Credits · Not affiliated with Y Combinator.

HomeVideosBooksBlogsPodcasts
Ctrl K
    Artwork for The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
    Episode

    How to Find the Agent Failures Your Evals Miss with Scott Clark - #767

    The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · May 7, 2026 · 53 min
    Episode page

    In this episode, Scott Clark, co-founder and CEO of Distributional, joins us to explore how teams can reliably operate and improve complex LLM systems and agents in production. Scott introduces a Maslow’s hierarchy of observability: telemetry for logging, monitoring for known signals, and post-production or online analytics to surface unknown unknowns. We dig into examples of real-world failures…

    Related

    • Noam Brown – Agent swarms, alignment, & recursive self-improvement

      Dwarkesh Podcast • Sep 17, 2026 • 1 h 20 min

    • AI researchers debate how close we are to recursive self-improvement

      Dwarkesh Podcast • Sep 11, 2026 • 1 h 37 min

    • Code isn’t the only thing causing your production failures

      The Stack Overflow Podcast • Jun 26, 2026 • 31 min

    • Nick Bostrom: How Should We Navigate Superintelligence?

      The a16z Show • Oct 11, 2026 • 54 min

    • How to get multiple agents to play nice at scale

      The Stack Overflow Podcast • Apr 22, 2026 • 28 min

    • SE Radio 717: Eric Tschetter on Decoupling Observability

      Software Engineering Radio - the podcast for professional software developers • Apr 23, 2026 • 1 h 00 min

    • Connecting the dots for accurate AI

      The Stack Overflow Podcast • May 12, 2026 • 31 min

    • ⚡️ Exo: Harnesses should see their own code and logs — Alex Krentsel, UC Berekeley / Google Research

      Latent Space: The AI Engineer Podcast • Aug 15, 2026 • 47 min