Unverified50% confidenceFactExact time
Major laboratories including OpenAI, Anthropic, and DeepMind all incorporate takeoff speed as an important variable in their risk models within their safety research.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/7/2026
First Seen
Valid until: 1/5/2027
Sources
Related Entities
Related Claims
UnverifiedUnder the logic of the Preparedness Framework, once a capability reaches a high-risk level, OpenAI is required to deploy safety mitigations to reduce deployment risk to an acceptable level before large-scale release.71% similarUnverifiedOpenAI、DeepMind等机构的研究表明模型性能随参数量、数据量和计算量的增加呈幂律提升(Scaling Law)71% similarUnverifiedInstitutions such as OpenAI have repeatedly emphasized the risks of over-optimizing chain-of-thought in related research.68% similarUnverifiedThe low-probability, high-impact risk framework originates from expected utility theory and catastrophic risk research.68% similarUnverifiedFrontier labs face a competition curse: releasing a more powerful model first creates a clustering effect, while safety evaluation requires time costs that create a first-mover disadvantage.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/985084API
curl https://kongchang.com/api/v1/knowledge/claims/985084MCP
get_claim(id=985084)