神秘新模型疑为GLM-5.4,社区热议

Chubby♨️ · @kimmonismus · X·2026-08-21 16:52·2天前
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社区猜测一周内新出现的模型疑为GLM-5.4/5.5,基于相同tokenizer等证据,@davis7称99%确信其为GLM-5.x。该模型在初步测试中表现优于GPT和Fable,被视为新SOTA。若属实,将证明RL驱动的模型进化速度远超预期,并迫使OpenAI和Anthropic加速发布新模型。

Chubby♨️@kimmonismus
37AI 编辑部评分,满分 100

神秘新模型疑为GLM-5.4,社区热议

2026-08-21 16:52· 2天前
AI 导读

社区猜测一周内新出现的模型疑为GLM-5.4/5.5,基于相同tokenizer等证据,@davis7称99%确信其为GLM-5.x。该模型在初步测试中表现优于GPT和Fable,被视为新SOTA。若属实,将证明RL驱动的模型进化速度远超预期,并迫使OpenAI和Anthropic加速发布新模型。

If it's true that this is indeed GLM-5.4/5.5, then it would change everything, without exaggeration.

GLM-5.3 was released just 7 days ago and was an extremely significant leap compared to GLM-5.2, which was improved solely through real-time modeling (RL). Same base model. And all this in a very short time.

If it's true that GLM-5.4 has become so much better just a week later thanks to RL, it would demonstrate:

  1. how much faster the models are now becoming. Not only is there no end in sight, but: now more than ever, exponential growth.
  1. It would force OpenAI and Anthropic to release models. Anthropic, in particular, with its upcoming IPO, now has to prove itself. And it would put pressure on slowing down in favor of security.
  1. And at least as importantly: the gap between China and the US is shrinking even further, even faster. It seems to be generally accepted that this is a Chinese model. No one suspects it's a Google model.

Given the same tokenizer, it's most likely GLM, and that would be the craziest thing we've seen in a long time for the reasons mentioned above.

But perhaps it's MiMo. Or, quite far-fetched, Ilya Sutskever's SSI model.

It remains exciting. I've rarely seen the community so impressed and confused at the same time. I'm equally confused and impressed.

@davis7 used Fable to determine which model it most closely resembles. A screenshot of the test is attached. h/t Ben Davis

Ben Davis99% sure it's GLM-5.x, all the evidence points to it (same video encoder, same tokenizer, style matches, same audio rejection, etc.) The stuff about their RL en...