Unverified50% confidenceOpinionExact time
In an era where everyone can use large models for analysis, what is scarce is no longer the ability to generate insights, but rather the credibility and traceability of those insights.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTrue scientific discovery typically requires extrapolation ability—jumping beyond the known data distribution to propose unprecedented hypotheses—which is currently a weakness of AI.77% similarUnverified前沿大模型对不完整或质量欠佳的上下文具有很强的容忍度，能依靠自身世界知识和推理能力给出接近正确的回答73% similarUnverifiedIn an example given by Anthropic, 'Be maximally thorough' caused the model to perform dozens of entirely unnecessary knowledge base retrievals.71% similarUnverifiedWhen a model lacks up-to-date information, it may not admit ignorance, but instead fabricate seemingly plausible yet factually incorrect answers (hallucinations).71% similarUnverifiedResearch from institutions such as Anthropic indicates that large models may develop emergent capabilities that are not yet understood, with the mechanisms of their emergence and potential risks being difficult to assess in advance.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/913483API
curl https://kongchang.com/api/v1/knowledge/claims/913483MCP
get_claim(id=913483)