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 * 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
   
   
   
   
   
   Go to Docs
   Book a Demo
   

 * 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.
   
   1
   
   
   
   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.
   
   2
   
   
   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.

 * Try in API Playground
   Get Repo Access


 * FAQS
   
    
   
   
   WHAT BASE MODEL IS RUNNING UNDER-THE-HOOD?
   
   
   HOW IS THIS DIFFERENT THAN REINFORCEMENT LEARNING?
   
   
   WHAT'S MEANT BY AI "TRAINED LIKE ANIMALS?"
   
   
   WHAT'S THE PROBLEM WITH BACKPROPAGATION OR WITH AI AS IT IS?
   
   
   HOW DOES THIS SOLVE AI HALLUCINATION OR BIAS?
   
   
   WHY DOES THIS MATTER IF "AGI" OR SUPERINTELLIGENCE IS IMMINENT?
   
   
   IS YOUR AIM TO REPLACE DEEP LEARNING OR GENERATIVE AI / LLMS?
   
   
   HOW DO I CONTRIBUTE?
   
   
   IS AO LABS A STARTUP OR RESEARCH ORG?
   
   
   HAVE WE PUBLISHED ANY PAPERS?
   
   
   ARE WE HIRING?


 * WE ARE THANKFUL TO HAVE BETA TESTORS FROM TOP ORGANIZATIONS
   
   

 * Think Differently About Thinking
   
   



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