Is AI actually smart? The scientific method test #ai #future

Añadido: 2026-06-01

[00:00:00]Consider the standard scientific process. You generate a hypothesis, collect data, and use logical negation to rule out invalid theories before reaching a conclusion.

[00:00:11]Because of the token probability bias, this pipeline breaks down at the logical negation node. If a model cannot weigh data that disproves a high-probability text sequence, the scientific method fails. A model can solve a complex math proof because the logic is consistent within its existing weights. But discovering new science requires recognizing when the real world contradicts your assumptions.

[00:00:36]Until a model can reliably understand when data negates a hypothesis, AI cannot drive autonomous real-world scientific progress.