Unverified50% confidenceFactExact time
On episode 57 of Chain of Thought, Snorkel AI's Alex Ratner said that to get models to do something different, you don't do brain surgery on neurons or reinvent the algorithm architecture — you go get data.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/17/2026
First Seen
Valid until: 1/15/2027
Sources
Related Entities
Related Claims
UnverifiedDaniel Kahneman's 'System 1 thinking' is the brain's fast, automatic processing mode, which tends to handle complex information using simple heuristic rules.68% similarUnverified具备元认知的模型会在超出知识边界时主动表达不确定性并建议调用外部工具，而非生成幻觉答案68% similarVerifiedMechanistic interpretability research aims to reverse-engineer the internal computational processes of neural networks, understanding how a model reaches its conclusions rather than merely observing the conclusions themselves.67% similarVerifiedMechanistic interpretability is driven primarily by researchers from institutions such as Anthropic and DeepMind, dedicated to reverse-engineering the algorithmic structures inside neural networks.66% similarUnverifiedThe researchers propose that what actually transfers from written instructions to actual operation is not the sequence of steps but a mental model of the system's internal mechanism, that is, conditional knowledge of the form 'if X is in a certain state, then what will happen to Y'.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1054185API
curl https://kongchang.com/api/v1/knowledge/claims/1054185MCP
get_claim(id=1054185)