121–130 of 153 posts
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/
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.
Tried it with a few prompts. The vibes feel super weird to me, in a way that I don't know how to describe. I'm not sure if it's just that I'm so used to Gemini 2.5 Pro and the other US models. Subjectively, it doesn't feel very smart. I asked it to analyze a recent painting I made and found the response uninspired. Although at least the feedback that it provided was notably distinct from what I could get from the US…
Maybe try qwen 235 a32 or some other model for general purpose since imo glm is focused on coding.
The last task seems interesting, and yes maybe all of these are kinda the same in that aspect so idk.
I won't lie but I like the simonw pelican's test by the full glm 4.5 as compared to the air. It looks decent imo.
It is a Chinese model. We are all very shocked that it is censored! How could this possibly be? With that obligatory surprise and shock out of the way, I would like to inquire about the model's coding abilities. Has anybody actually used it for its intended purpose? How does it perform? Are there better models for this purpose at this price point?
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/
¯\\(ツ)/¯
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/
Earlier quoted context omitted.
I wonder if they're falling back to the Claude API when they're over capacity?
I asked why it said it was Claude, and it said it made a mistake, it's actually GLM. I don't think it's a routing issue.
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.
> GLM is a model made by Anthropic and a competitor to chatgpt by open AI
String replacement isn't quite enough, but you could probably get an llm to sanitise any training days that contains keywords you're interested in