• Research & Development Beyond Pre-Trained AI

    Trainable, relatable intelligence for every application: a new form of machine intelligence

    a python library for AI agents based on a neuro-symbolic alternative to deep learning that is continuous, transparent, and robust



  • Continous learning is part of human intelligence that is completely absent from AI like GPTs, which remain Pre-trained by design. We're building what's missing from first principles.


    Why does this matter? Through our research, we've determined that the hallucination problem, or more generally the inability of AI to understand the meaning behind information, is a result of the dominant pre-training paradigm, where "what to learn" is extrinsically determined by a human, necessiating a gap between training and inference.


    By contrast, humans and animals learn with an intrinsic motivation that allows for continous learning and is robust to hallucinations in ways AI still lacks.


    Our code fills some of those gaps, and at version 0.1.1, supports a level of associative intelligence comporable to a basic animal like a clam. We're building way outside of the deep learning paradigm, so while we use a form of neural networks, we are building our own core library from scratch and evolving more complicated agent designs that would support higher levels of cognition (after the clam is a worm). We're building AGIs from the bottom-up.


    Join us our Discord. Read the docs, try the API, and reach out for code access.

  • Podcast fan? Learn more about aolabs through a recent talk with DistroBoss.

  • How It Works in 2 Steps

    More at Github  or docs.aolabs.ai.


    One config to build custom Agents


    Decide on the number of input, output, and control neurons for your application. See examples of Agent Archs here.


    One method to train & query Agents, locally or via our Agents-as-a-Service API


    Post inputs to get outputs. If an input includes a control signal (like pleasure or pain), that will trigger the Agent to learn.

  • FAQs


  • We are thankful to have beta testors from top organizations

    broken image
    broken image
    broken image
    broken image
    broken image
    broken image
  • Think Differently About Thinking