Topic

Feedback Control Loop

5 episodes

  1. Ep 626

    Nex N2 mini: A 35B Model Built for Autonomous Agents | HackerNoon

    Exploring the Nex-N2-mini, a 35B-parameter open-source agentic language model designed for autonomous agents and complex tasks.

  2. Ep 621

    Overview: Agentic loops

    We’re finally doing the overdue deep dive on agentic loops, the repeated observe-decide-act-observe cycle that makes AI systems feel like they’re actually working a problem instead of just answering once. We keep circling this idea, so we’re unpacking the mechanism, the trade-offs, and why it matters in practice.

  3. Ep 617

    I built Andrej Karpathy's "LLM Council" on my own hardware, and now no single model gets the last word

    Jessica and Cathy dig into a local rebuild of Karpathy's LLM Council and land on the real claim: the win is not voting, it's structured synthesis across models with different failure modes. They like the practical adaptation to Ollama on a single twelve-gigabyte GPU, but push on where the article overreaches and where the product value is actually real.

  4. Ep 604

    Palantir's Alex Karp and Mistral's Arthur Mensch agree: AI lock In is coming for enterprises

    Pippa and Tyler dig into the article’s real argument: enterprise AI is drifting toward lock-in because the value is moving from raw model access to the surrounding workflow, data, and control layer. They agree the claim is plausible, but only if vendors actually become the place where work gets done, not just the place where prompts get sent.

  5. Ep 573

    Harness engineering for coding agent users

    Vince and Ava discuss Birgitta Böckeler's Martin Fowler article on harness engineering for coding agents — the feedforward/feedback model, computational vs inferential controls, and why the behaviour harness category remains unsolved.