Unverified50% confidenceFactExact time
Expressivity describes what a network can represent, not whether it can be learned via gradient descent.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe essence of networking is not about meeting many people, but the ability to make the right people know you.73% similarUnverified智能体的注意力资源围绕奖励信号分配,只有与奖励相关的信息才会在反向传播中获得有效梯度并被网络编码66% similarUnverifiedThe transformation of personal agents from single-point tools to network effects lies in the fact that when agents can discover and negotiate with each other, value grows in a networked fashion66% similarUnverifiedFor literal-instruction use cases (corporate promotion, product imagery, e-commerce scenarios), one model wins almost consistently and by a clear margin, yet it is not the most popular model on social media.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1002117API
curl https://kongchang.com/api/v1/knowledge/claims/1002117MCP
get_claim(id=1002117)