Unverified50% confidenceDecision RuleExact time
When the cost of deviating from the algorithm far exceeds the cost of complying with it, human review exists in name only.
1
Sources
50%
Confidence
Long-term
Relevance
10/2/2026
First Seen
Sources
Related Claims
UnverifiedNaively approximating the infinite-dimensional functional gradient causes the algorithm to converge to the wrong location, introducing systematic bias.76% similarUnverifiedOver-splitting agents reduces observability; reasoning chains distributed across multiple agents are harder to trace and debug than those of a single agent, and the cost of attribution when errors occur is significantly higher73% similarUnverifiedMany algorithms that perform well in reversible environments may suffer a cliff-like performance drop once they approach the irreversibility threshold.72% similarVerifiedIf a low-cost model has insufficient reasoning capability, it leads to more retry rounds, and the hidden costs of accumulated failed retries may exceed those of a high-cost, high-efficiency solution (the paradox of "cheap models actually being more expensive").72% similarUnverifiedShorter AI outputs can sometimes lead to additional conversational round-trips due to incompleteness or errors, resulting in even higher overall costs.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/966873API
curl https://kongchang.com/api/v1/knowledge/claims/966873MCP
get_claim(id=966873)