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    The Karpathy Recipe for OpenClaw: Software 2.0 to 3.0

    18 min
    |
    |
    9 jun 2026
    TechnologyProductivity

    Explore Andrej Karpathy's transition from Software 2.0 to 3.0. Learn how the principles of Tesla Autopilot apply to building intelligent agents with OpenClaw.

    The Karpathy Recipe for OpenClaw: Software 2.0 to 3.0

    Mejor cita de The Karpathy Recipe for OpenClaw: Software 2.0 to 3.0

    “

    Software 2.0 is a fundamental change in how we develop software, moving away from being authors of instructions to being cultivators of datasets.

    ”
    B

    Generated by Brian

    Pregunta de entrada

    A comprehensive lesson on Andrej Karpathy's engineering principles (software 2.0, simplicity, 'recipe' for training, clear abstraction) applied specifically to building with OpenClaw. Focus on multi-agent orchestration where the main agent (Davinci) plans and splices tasks for sub-agents (Hermes Agent). Cover Karpathy's mental models, his 'building from scratch' philosophy, and practical implementation strategies for planning and execution within the OpenClaw framework.

    Voces del presentador
    Lenaplay
    Fuentes de conocimiento
    Software 2.0. I sometimes see people refer to neural… | by Andrej Karpathy | Medium
    link
    https://karpathy.medium.com/software-2-0-a64152b37c35
    A Recipe for Training Neural Networks
    link
    http://karpathy.github.io/2019/04/25/recipe/
    Engineering Philosophy: Andrej Karpathy, The Stack You Don't Write
    link
    https://blakecrosley.com/blog/engineering-philosophy-andrej-karpathy
    From nanoGPT to Claude Skills: The Pedagogy of Karpathy's Public Code - AI Skill Market Blog | AI Skill Market
    link
    https://aiskill.market/blog/karpathy-nanogpt-pedagogy-skill-authoring
    Hermes Agent vs OpenClaw: When to Use Which (and When to Use Both) - DEV Community
    link
    https://dev.to/sebastian_chedal/hermes-agent-vs-openclaw-when-to-use-which-and-when-to-use-both-6e5
    Agent Orchestrator — ai-agents skill for OpenClaw AI agents
    link
    https://openclawai.io/skills/skill/agent-orchestrator

    Preguntas frecuentes

    Software 1.0 is the classical programming stack where humans write explicit, hardcoded instructions in languages like C++ or Python to solve problems. In contrast, Software 2.0 represents a shift toward neural networks, where the programmer moves from being an author of logic to a cultivator of data. Instead of writing millions of weights by hand, developers curate the datasets that allow the computer to grow the necessary logic for complex tasks like vision or translation.

    Software 3.0 marks an era where English becomes the primary programming language for orchestrating intelligent agents. When building with a framework like OpenClaw, developers are no longer just writing scripts; they are managing multi-agent systems. This evolution follows the Karpathy recipe by applying the same structural principles used in advanced stacks, such as Tesla’s Autopilot, to the development of modern, language-driven AI agents.

    Humans are simply not wired to hand-write the millions of weights required for a modern neural network to function effectively. For complex problems involving natural language, sound, or images, traditional Software 1.0 methods often fail because programmers cannot identify every specific edge case in a massive space of possible programs. By adopting the Software 2.0 and 3.0 approaches, developers can solve these real-world challenges more efficiently through data curation and agent orchestration.

    Creado por exalumnos de la Universidad de Columbia en San Francisco

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    Lista de lectura de celebridades
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    Puntos clave

    1

    Software is being eaten by the data it generates

    0:00
    0:58
    2

    The from-scratch principle as a tool for mastery

    2:12
    3:15
    3

    Why neural networks are the new binary

    4:26
    5:18
    4

    Breaking down the OpenClaw orchestration architecture

    6:33
    7:33
    5

    The recipe for building agentic intelligence

    8:42
    9:35
    6

    Splicing tasks and the power of parallel execution

    10:35
    11:21
    7

    Debugging the silent failures of the 2.0 stack

    12:23
    13:14
    8

    A practical playbook for your next agentic build

    14:21
    15:11
    9

    Reframing the future of your engineering stack

    16:28
    17:22

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