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Welcome on in!

If you’re looking for what’s next after deep learning and believe that reaching AGI requires exponentially improving the efficiency of current AI systems, you’re in the right place.

We're working on the next layer of the AI stack--

  • A more reliable alternative to deep learning and LLMs using continuously trainable, compute-efficient weightless neural networks. We are building AI that can learn after training.
  • We're talking AI that learns via real induction, with self-grounding, in a similar way to animals, because even though chickens aren't as "smart" as GPT, they don't hallucinate.
  • many more things, join us on discord and visit our website for demos and more

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  1. ao_arch Public

    open source repo of Archs (configs) for ao_core Agents

    Python 10 3

  2. MNIST_streamlit Public

    Python 4 5

  3. ao_pyth Public

    The official Python library for the AO Labs API, compatible with ao_core

    Python 2

Repositories

Showing 10 of 25 repositories
  • Python 2 0 0 0 Updated Mar 30, 2025
  • OpenReason Public

    an open source dataset and generation pipeline for Large-Scale Reinforcement Learning

    14 MIT 0 0 0 Updated Mar 30, 2025
  • docs Public

    Docs for ao_core, ao_arch, and api.aolabs.ai via a readme.com integration

    1 0 0 0 Updated Mar 28, 2025
  • ao_pyth Public

    The official Python library for the AO Labs API, compatible with ao_core

    Python 2 MIT 0 0 0 Updated Mar 28, 2025
  • Parsed Public
    Python 0 0 0 0 Updated Mar 27, 2025
  • ao-dating Public
    Python 0 0 0 0 Updated Mar 23, 2025
  • Python 4 5 0 (2 issues need help) 0 Updated Mar 18, 2025
  • Python 0 0 0 0 Updated Mar 10, 2025
  • ao_arch Public

    open source repo of Archs (configs) for ao_core Agents

    Python 10 MIT 3 4 (4 issues need help) 2 Updated Mar 5, 2025
  • Python 0 0 0 0 Updated Feb 25, 2025

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