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Kimi K3 and the quality of collaboration

First-hand observations on Kimi K3, thoughtful questions, plain language and how an AI assistant builds on conversational context.

๐Ÿค– I didn't expect Kimi K3 to become part of my daily workflow.

I started using it on Max reasoning about a week ago for many of the tasks where I'd normally reach for GPT-5.6 Sol or Opus/Fable-class models.

Is it always better? No.

Sometimes the answers are a bit weak. Sometimes it misses things the other models catch. Surprisingly, sometimes it's the other way around. That's just the nature of LLMs.

But after a week of using it, one thing kept standing out:

๐ŸŽฏ This is the first model in a long time that feels genuinely pleasant to collaborate with, instead of merely operating a machine.

  • Its questions are usually more thoughtful. They feel natural, written to actually understand the problem rather than showcase sophistication.
  • The same goes for its responses. They're written in plain English, without that polished, corporate tone I've come to expect from many frontier models.
  • It's also remarkably good at building on context over the course of a conversation. I still need to provide the right information, but it seems to make better use of it once it's there.

Benchmarks are benchmarks, of course but, somewhere along the way, I seem to have accepted that AI assistants were becoming more capable but less pleasant to work with.

๐Ÿ’ช Kimi K3 reminded me that doesn't have to be the case.

More notes on engineering, AI and the systems around the work.

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