Unverified50% confidenceFactExact time
The game decompilation process consumed more than 500 billion tokens, with the agent reconstructing the program's logic and structure from binary data.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
Unverified代理式架构基于 ReAct 范式相比单次推理生成代码具有更强的错误恢复能力,但代价是系统行为复杂度呈指数级增长,一次任务可能涉及数十次模型调用和工具交互66% similarUnverifiedThe team performed one epoch of fine-tuning on 477,642 synthetic reasoning trajectories distilled from GLM-5.2, covering 22,000 curated problems spanning 16 competitive programming contest systems.65% similarUnverifiedModel weights cannot be recompiled and restored like source code, and training a replacement model of equivalent scale often requires millions of dollars in compute investment.64% similarUnverifiedWhen model scale crosses from billions of parameters to the hundreds-of-billions level, non-linear emergent capability jumps manifest on code tasks.64% similarUnverifiedThinking Machines Lab has released an open-weight large language model with a scale of 975 billion parameters.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1001717API
curl https://kongchang.com/api/v1/knowledge/claims/1001717MCP
get_claim(id=1001717)