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GLM-4.5: Reasoning, Coding, and Agentic Abililties

z.ai

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Re: GLM-4.5: Reasoning, Coding, and Agentic Abililties

#81
post #55
post #40

Earlier quoted context omitted.

There is a widespread practice of LLMs training on another larger LLM's output. Including the competitor's.

While true, it's hard to believe they forgot to s/claude/glm/g? Also, I don't believe LLMs identify themselves that often, even less so in a training corpus they've been used to produce. OTOH, I see no other explanation.

There was a recent paper that showed you can spread model’s behavior through training on outputs, even if you don’t directly include obvious markers of the behavior. It’s totally plausible that training off Claude’s outputs subtly affected GLM into mentioning “Claude” even if they don’t include the direct tokens very often.

https://alignment.anthropic.com/2025/subliminal-learning/

Re: GLM-4.5: Reasoning, Coding, and Agentic Abililties

#82
post #72

Earlier quoted context omitted.

Also no fun, I didn't learn how to code to be the project manager for an artifically intelligent machine.

And what do you see yourself doing in 5 years?

Seems like you're being intentionally facetious, but the best output that I've seen from any of the llms is stuff that we did a ton of 5 or more years ago, which is great because we're still doing a lot of that, it just sometimes helps get it done a bit faster after going through the steps to learn how to do it manually and correctly.

Re: GLM-4.5: Reasoning, Coding, and Agentic Abililties

#83
post #55

Earlier quoted context omitted.

While true, it's hard to believe they forgot to s/claude/glm/g? Also, I don't believe LLMs identify themselves that often, even less so in a training corpus they've been used to produce. OTOH, I see no other explanation.

There was a recent paper that showed you can spread model’s behavior through training on outputs, even if you don’t directly include obvious markers of the behavior. It’s totally plausible that training off Claude’s outputs subtly affected GLM into mentioning “Claude” even if they don’t include the direct tokens very often. https://alignment.anthropic.com/2025/subliminal-learning/

Didn't think of that, that would be an extremely interesting finding. However in that paper the transfer only happens for fine tunes of the same architecture, so it would be a whole new thing for it to happen in this case.

Re: GLM-4.5: Reasoning, Coding, and Agentic Abililties

#84
post #74

Earlier quoted context omitted.

Not exactly true ... KV and prompt caching is a thing

Assuming you include the same prompts in the new request that were cached in the previous ones.

As far as I understand, the entire chat is the prompt. So at the each round, the previous chat up to that point could already be cached. If I'm not wrong, Claude APIs require an explicit request to cache the prompt, while OpenAI's handle this automatically.

Re: GLM-4.5: Reasoning, Coding, and Agentic Abililties

#87

The commentary around every Chinese model is incredibly disappointing. Asking about Tiananmen Square isn't some clever insight. Look at the political leanings that government-backed AIs in the United States will soon be required to reflect: those of the current administration. I was hoping to hear from people reporting on their utility or coding capabilities instead.

Agreed.

Re: GLM-4.5: Reasoning, Coding, and Agentic Abililties

#89

I typed "Hello" in their chat [1] and it replied back with "Hello! I'm Claude, an AI assistant created by Anthropic. How can I help you today?" Hmmm.... [1] https://chat.z.ai/

They've hard coded this out now but that's such a funny find.
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