3 papers
cs.LG2025
On the Mathematical Impossibility of Safe Universal Approximators
Jasper Yao
We establish fundamental mathematical limits on universal approximation theorem (UAT) system alignment by proving that catastrophic failures are an inescapable feature of any usefu…
cs.AI2025
The Alignment Trap: Complexity Barriers
Jasper Yao
This paper argues that AI alignment is not merely difficult, but is founded on a fundamental logical contradiction. We first establish The Enumeration Paradox: we use machine learn…
cs.LG2025
AlgoSelect: Universal Algorithm Selection via the Comb Operator
Jasper Yao
We introduce AlgoSelect, a principled framework for learning optimal algorithm selection from data, centered around the novel Comb Operator. Given a set of algorithms and a feature…