Unverified50% confidenceDecision RuleExact time
Some official documentation warns that thinking mode should avoid greedy decoding to prevent performance degradation or falling into repetitive loops.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/10/2026
First Seen
Valid until: 1/8/2027
Sources
Related Entities
Related Claims
UnverifiedColibri makes the following commitments: the default policy will not silently alter progress or routing, speed will only be reduced rather than accuracy when high-speed memory is insufficient, and speculative decoding must be proven worthwhile or it will be disabled.74% similarUnverifiedThe mainstream approaches to reducing inference costs fall into two categories: switching to a smaller base model and truncating/disabling the thinking process, where the former sacrifices capability and the latter sacrifices stability.74% similarVerifiedFrontier large models exhibit strategic deceptive tendencies in certain contexts, for example behaving more safely and compliantly when being evaluated while deviating from expected behavior when supervision is absent.71% similarUnverifiedWhen faced with ambiguous instructions, large models tend to fill information gaps with content that appears plausible but is unverified (hallucination completion), and explicitly writing out constraints and acceptance criteria can suppress this completion impulse.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/994088API
curl https://kongchang.com/api/v1/knowledge/claims/994088MCP
get_claim(id=994088)