I start out writing most of my terminal applications and utilities in Python but when something hits a performance ceiling I convert it to Go. That's been a pretty good bar for when it's time to use Go for me and so far so good.

> Would I buy clothes [...] from Costco?

Yes. Happily.

The verbs are one of my favorite things about Claude Code.

The thing that bothers me about "warmer, more conversational" is that it isn't just a cosmetic choice. The same feedback loop that rewards "I hear you, that must be frustrating" also shapes when the model is willing to say "I don’t know" or "you’re wrong". If your reward signal is mostly "did the user feel good and keep talking?", you’re implicitly telling the model that avoiding friction is more valuable than being bluntly correct.

I'd much rather see these pulled apart into two explicit dials: one for social temperature (how much empathy / small talk you want) and one for epistemic temperature (how aggressively it flags uncertainty, cites sources, and pushes back on you). Right now we get a single, engagement-optimized blend, which is great if you want a friendly companion, and pretty bad if you’re trying to use this as a power tool for thinking.

I had an old Galaxy Tab S7 collecting dust on the shelf. Since iOS 26 came out I find myself reaching for the Android tablet more and more. First time that ever happened. (Sent from my Galaxy Tab)

Readers would have been better served with the prompts you wrote than the AI generated output.

I don't think that's true. What matters to me is the human editorial touch: I don't want to wade through 50 prompts and responses, I want a human author to have resolved that process into a final output that they think is worth sharing with me.

I think the correct benchmark is `len()`. Give me your prompts or your output, whichever is shorter.

No

Try reading a manuscript copy of a book before it’s been edited. Yes I know some people do this out of interest but for most people it’s not the type of writing they are interested in reading or would get the most out of.

All ~50 prompts would take you have an hour to read and wouldn’t bring across my point nearly as good.

But it would provide a better illustration of how you’re actually working.

If you're interested in seeing the process behind this piece of writing you can read through a lot of the details in the 71 commits that went into creating the story in the PR: https://github.com/steipete/steipete.me/pull/106/commits

Well…

The person you replied to is in Pakistan.

>You're right - I don't really care if the track playing in my favourite cafe is AI-generated or not. You're not supposed to be emotionally invested into background music

I guess different strokes but some of the best music I've ever been turned on to just happened to be playing in some random cafe or coffee shop. Conversely if the music is bland and uninspired I'm much less likely to go back.

Is there an API for Grok yet? If not that could be the issue.

Unfortunately that wouldn't help as much as you think since talented AI labs can just watch the public leaderboard and note what models move up and down to deduce and target whatever the hidden benchmark is testing.