Hmm I thought this was due to me using tmux with claude-code, also it seems that `claude agents` doesn't have this issue.
By comfortable ergonomics, meant the forgiving and asynchronous input system. You can start typing, cancel, retry with previous input, accumulate messages while the agent is active. I don't know all TUIs but this is not common IMO.
> You can start typing, cancel, retry with previous input, accumulate messages while the agent is active. I don't know all TUIs but this is not common IMO.
Literally every audio player or anything that uses threads.
good point, i didn't classify tui audio players in a way, they don't converse, they allow asynchronous effects and stacking, that said i might be lagging about these, last i used was mocp, any names i should check out ?
My best guess as a noob is that the vector spaces allow for unbounded contextualization. As long as the training set is large enough, it can 'infer' anything.
Proofread has a spot in that space, and layers allow patterns like terminology consistency to be expressed so your query will now tap into a subspace that will infer tokens based on whatever consistency patterns were ingested with proofreading texts.
It's coherent. More newness => more memories per period ~ slower to go through. Less newness => less memories ~ nothing to go through (faster sense of time)
I would use these exact facts as a sign that it's maybe not what it seems. It's much too big and too fast to feel stable. It might keep at that level, increase even more, or drop down to a saner level of use / allocation.
I can see a corporate future where tokens are haggled over in department budgets just like any other line item. Some projects will get more of them, other projects will get less of them. "Use AI for everything" will become "use AI economically and build things that outlast our budget for it."
> It might keep at that level, increase even more, or drop down
Bold prediction. :)
I think anyone predicting a drop or near-term flattening is not thinking beyond the online bubbles where these tools are discussed. In a local tech meetup a lot of the normal companies are barely coming online with AI tools at their company, and even then with very low limits.
One tiny nanoscopic nitpick, because i agree with you mostly, programming is often creating wider things (abstractions, frameworks). I think it hits a different part compared to most jobs. Maybe... i'm not sure, but that's how i feel compared to other manual occupations that i loved too.
Has anybody written about this ? in fiction or as report even. It seems obvious the current techbros are only thinking about a radical shift where labour changes meaning and human societies are irrelevant for those who owns datacenter and have pocket deep enough to buy the rest when people can't sustain their own lives.
not that it could be leaner for sure but i get the reasoning behind the tui rendering layer
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