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Articole: 10
  1. The Brain Already Solved the Human-AI Integration Problem

    Do We Still Need Scientists?

  2. From PhD to Automated Science: A New Chapter

    After years of exploring real-time adaptation as a computational framework for modeling fluid intelligence, I’ve completed my Ph.D. at the Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem.

  3. The Grounding Problem: Why AI Scientists Need Real Labs

    There’s a fundamental obstacle facing automated science that doesn’t get discussed enough: the grounding problem.

  4. Scale Dynamics: Beyond the Linear Approximation

    Status note (2026).

  5. From time to scale: A gentle introduction to scale dynamics

    Status note (2026).

  6. We refuse to lose our agency

    In the rapidly evolving landscape of AI assistants and agents, there’s a curious psychological barrier I’ve encountered—one that may significantly shape how we build and deploy these technologies.

  7. The mathematical foundations of scale theory: Bridging micro and macro phenomena

    Status note (2026).

  8. Giving LLM agents a life of their own through self-messaging

    BarakBot: agents that talk to themselves (and the world) BarakBot is an experiment in pushing the boundaries of what large language models (LLMs) can do as agents.

  9. One more Copernican revolution: reconsidering scale-centrism

    Status note (2026).

  10. Self-referential agent architecture: how BarakBot agents talk to themselves

    In developing BarakBot, I encountered a fundamental challenge in multi-agent coordination.