Lab Notes

Heavybit
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A regular look at the newest AI research from academic and frontier labs.

Episodes

  1. 9h ago

    Ep. #3, Exploring Recursive Intelligence with Qizheng Zhang

    On episode 3 of Lab Notes, Amir Zohrenejad sits down with Qizheng Zhang to explore one of the fastest-moving areas of AI research: recursive self-improvement. Together, they discuss Meta-Harness, context engineering, and why the future of AI may depend as much on the software surrounding models as the models themselves. The conversation also examines evaluation, agentic systems, and the limits of today's autonomous AI research.

  2. Jul 7

    Ep. #2, The Infrastructure of Intelligence with Hanchen Li

    On episode 2 of Lab Notes, Amir Zohrenejad sits down with Hanchen Li to explore the systems that make modern AI agents faster, more efficient, and better at learning from experience. They discuss KV Cache optimization, long-context inference, prompt learning, continual learning, and why better benchmarks may be just as important as larger models in advancing AI research.

  3. Jun 21

    Ep. #1, Why Robots Are Hard with Ren Wang

    On this debut episode of Lab Notes, Amir Zohrenejad is joined by Ren Wang, a researcher and PhD student at UC Berkeley, to explore the state of physical AI and why robotics has progressed differently from large language models. They discuss data scarcity, world models, simulation, dexterity, and the challenges of building robots that can reliably operate in the real world.

  • 3 Episodes

About

A regular look at the newest AI research from academic and frontier labs.

Information

  • Creator
    Heavybit
  • Years Active
    2026
  • Episodes
    3
  • Rating
    Clean
  • Copyright
    © Heavybit
  • Show Website
    Lab Notes