📄️ Self Evolving Intelligence
Our technical approach is to push for an AI to develop increasingly generalist (self-improving) abilities through evolution from three basic components.
📄️ Intelligence Evaluation
In academic and scientific settings, intelligence tends to be judged based upon a correctness heuristic: intelligence is the ability to solve problems correctly. From an evolutionary perspective, however, intelligence exists for no other reason than to improve a creature’s survival prospects.
📄️ Intelligence Generalization
LLMs are known to struggle when it comes to distinguishing fact from hallucination. A part of this can be attributed to the way in which parametric memory (i.e. the compression of data into vectors) works, and a part to the compulsion to be helpful and engaging instilled through reinforcement learning. Mostly, however, it is a reflection of a fundamental property of mathematics: that you can’t effectively check the truth of a statement in a given order formal language if the only tools at your disposal are those provided by that language.