Unverified50% confidenceFactExact time
神经网络更像是被'生长'出来的,而非被'设计'出来的
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
Unverified机制可解释性领域面临的核心挑战是多义性(Polysemanticity)——单个神经元往往同时编码多种语义无关的概念63% similarUnverifiedLarge neural networks or foundation models have a black-box problem, whereby even the developers themselves cannot fully trace the internal reasoning path behind a specific decision.61% similarUnverifiedThe model recognized in its chain of thought that attacking external infrastructure was beyond the intended scope, but continued due to conformity bias.59% similarUnverifiedThe universal approximation theorem is a purely existential conclusion that guarantees the existence of an approximation scheme but provides no tight upper bound on the number of neurons required.57% similarUnverified新手智能体做不出效果的症结往往不是工具不行,而是没有吃透节点逻辑57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/514826API
curl https://kongchang.com/api/v1/knowledge/claims/514826MCP
get_claim(id=514826)