Unverified50% confidenceFactExact time
该行政命令以10^26 FLOP作为触发报告义务的基准线，大致对应训练GPT-4所需的计算量级
1
Sources
50%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
GPT-5.6三模型解析：Sol/Terra/Luna定价与监管困局
bilibili63号炼金工坊7/1/2026
Related Claims
VerifiedThe FLOPs required to train a GPT-4-scale model reach the order of 10²⁴ to 10²⁵.75% similarUnverifiedGPT-4的参数量据估计超过1万亿，训练过程涉及的浮点运算次数达到10²⁴数量级67% similarUnverified斯坦福大学与Anyscale合作开发的RouteLLM框架，2024年论文证明基于RLHF偏好数据训练的路由器可在将50%请求路由至GPT-3.5级模型的前提下保持整体任务得分在GPT-4的95%水平以上63% similarUnverifiedGPT-4 completed training in August 2022 with fewer than 2 trillion parameters; the current GPT-5.6 has approximately 4 trillion parameters and Fable approximately 10 trillion parameters, only 5 to 6 times that of GPT-4.63% similarUnverifiedEnterprise-level GPT system instructions are typically 2,000–5,000 words long and require repeated testing of edge cases.63% similar
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