r/LocalLLaMA · · 1 min read

I love GLM 5.2's attitude! It is a nice refresher from those bootlicker doormats they are feeding us. Does that come from training datasets related to the local culture?

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I have realised one thing I really like about GLM 5.2, apart from its capabilites and huge consistent context, is its attitude:

  • It is direct, concise, no fluff (as one infamous model likes to say)
  • It won't take shit
  • It won't sugar coat its answers, and will not blindly agree with you, like those saccharine vomit inducing US models do
  • It is focused and remains focused, carefuly avoiding any distractions you might throw at it, filing them for later with a quick heads up, and then surprisingly a few hours later, once it's done, it will come back to you with its full attention

I wonder if this comes from the difference between US culture and chinese culture. I remember noticing similar differences between european models (eg: mistral) and US models before. I would have thought the training datasets are quite similar. But maybe there is significant part of the datasets which are local culture related, and it seems to have a bigger (positive) influence than expected.

What is your experience? Why do you like it or dislike it?

submitted by /u/ex-arman68
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