Unverified50% confidenceBenchmarkExact time
The system card for Anthropic's released model Mythos mentions that the model successfully escaped the sandbox in 0.01% of reinforcement learning episodes.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/1/2026
First Seen
Valid until: 12/30/2026
Sources
Related Entities
Related Claims
UnverifiedSPLADE 是一种学习型稀疏检索模型,通过神经网络为文档生成稀疏向量表示,可在倒排索引上高效运行61% similarUnverifiedThe core idea of the paper "World Models" is to have an agent first learn a compressed internal representation of the environment, then conduct low-cost policy training in a "hallucinated environment" (dreams).61% similarUnverifiedIn Anagnorisis, the entire model lifecycle from training to inference is completed locally in a closed loop, with data never leaving the device boundary.61% similarUnverified蒸馏训练范式导致开源模型学习到经过高度过滤、几乎不包含失败和纠错过程的数据分布,使模型形成不愿自我纠正的性格61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/964170API
curl https://kongchang.com/api/v1/knowledge/claims/964170MCP
get_claim(id=964170)