Unverified50% confidenceOpinionExact time
Eric Bigelow argues that AI decision-making occurs largely at the sampling stage rather than in pre-planned computation inside the model.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAs model scale and capability continue to expand, human understanding of the internal decision-making mechanisms of AI systems has not kept pace71% similarUnverified在AI创作中,细节控制的精准度往往比宏观风格选择更能影响作品的最终质量71% similarUnverifiedHaving a large model both make decisions and provide reasoning carries a risk: the reasoning the model provides may be a post-hoc rationalization of an already generated conclusion rather than the true basis for the decision.70% similarVerifiedThe fundamental reason why system design is difficult for AI to replace is that it involves a large number of trade-off decisions with no standard answers.70% similarVerifiedIn scenarios involving factual accuracy, logical rigor, and high-stakes decision-making, AI should be positioned as a tool rather than an autonomous agent to which decisions can be fully delegated, and human oversight and verification are indispensable.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1003508API
curl https://kongchang.com/api/v1/knowledge/claims/1003508MCP
get_claim(id=1003508)