AI should know what it knows — and know what it doesn't.
The current generation of large language models are remarkable feats of engineering. They produce fluent, articulate, often useful text. But they share a fundamental flaw: they have no concept of truth. They predict what is statistically plausible, not what is factually real. Every assertion comes with equal confidence, whether it's grounded in bedrock evidence or fabricated whole cloth.
42AI was founded on the conviction that this is not an acceptable foundation for the systems that will increasingly mediate human knowledge, decision-making, and economic activity. We believe the next critical evolution in AI is not larger models or faster inference — it is epistemic self-awareness.
The BALM architecture is our answer. By equipping every token with a continuous degree of belief and grounding model knowledge in Bayesian inference, we are building AI that can distinguish fact from fabrication, quantify its own uncertainty, and genuinely learn over time without forgetting what it already knows.
This is not an incremental improvement. It is a redesign of how AI relates to truth.