I put up with it when I'm actively using an LLM tool, because I just accept that this is how these tools write, but when reading a blog I expect to read words written in one of the vast varieties of normal human-written blog formats.
My two cents: you should avoid using AI to “polish” what you wrote. At most, instruct it to correct grammar mistakes only, instead of rephrasing your words, changing your arguments, turning paragraphs into bullet lists, “improving” sentences to make them more idiomatic… Nowadays, many technical readers would rather read the occasional non-idiomatic prose than put up with the soulless writing style of AI.
> "The next two experiments look like a clean A/B test. They are not."
One of the huge value adds of the agent computer paradigm is your agent can also fix and customize its own software.
I’m working on a similar agent computer and having the full source code plus a plugin system is the thing that really made it start working.
Something tells me Meta and Grok bots won’t give you this level of control.
More thoughts at this blog:
The insight that enables this is a sophisticated coder can build tools an unsophisticated assistant can use. So our hosted model isn’t as smart but executes at 100+ tok/s single stream across 8 streams on our local hardware at frontier level.
But the code Fable provides is much better. The unsophisticated guy can build little tools but self-modification leads to a tower of cards.