Unverified50% confidenceOpinionExact time
Machine learning and AI-assisted decision-making systems can only optimize based on variables encoded as features, and dimensions of human experience that are difficult to digitize are often systematically excluded.
1
Sources
50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe continuity and subjectivity of experience may be a boundary that machines cannot truly reach, revealing the fundamental gulf between artificial general intelligence and human intelligence.72% similarUnverifiedWhat determines the performance of agents in vertical domains is often not the AI model itself, but the Content.70% similarUnverified专项优化的AI模型在特定领域可能表现不及通用基础模型,这与深度学习中的灾难性遗忘现象有关70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/823853API
curl https://kongchang.com/api/v1/knowledge/claims/823853MCP
get_claim(id=823853)