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by esperent 34 days ago
> Every 30 minutes, check Slack and Gmail for unanswered messages that need my attention...

> When I come back to Slack, replies are often already sitting in drafts. I still decide what gets sent, but the expensive part of gathering context is done.

This just feels so dystopian to me. I hope that I never work with you or someone else doing this.

I personally do use LLMs for work messaging but I'm extremely careful to state clearly like "here's a draft for that quotation request that Claude wrote:" or something like that. I would never present that as my own words.

3 comments

If the other people in the org are using LLMs to a similar degree, any question to which an LLM can provide a good answer to will never get sent. How useful are the draft replies then?
You pretend that you did the work. It is not about achieving the result, it is about appearing productive.
^^^ this guy productivity-maxxes

But seriously: It's a game. If that kind of "productivity" is seen as a positive measure of their worth, then in this game they're rewarded for optimizing it.

And the game is simply fucked up.

And that's not new. Ye olde corpo rat race has always often revolved not around maximizing the things that are useful, but instead around maximizing the things that the boss-man perceives to be valuable.

Here in 2026, if the boss-man is himself boss-maxxing by using a bot to evaluate performance, this kind of automated charade would probably work very well. Champagne would fall from the heavens. Doors would open. Velvet ropes would part.

This game is quite clearly not sustainable and must ultimately collapse, but it's still a game with winners and losers. Historically, lots of unsustainable games have left winners standing around when the the games ultimately collapses.

(And, to be frank: It's perfectly OK to hate the game. It's also OK to hate the players and the mediators.)

I guess the point might not be to be useful, but to pingpong responsibility back to somebody else. "There, sent a response, not it's their problem again."
An interesting piece of context with this guy is he writes about a serious hand injury that prevents him from typing much anymore. He says that adopting LLM workflows saved his hands (beyond just dictating everything).
I lost about 50% functionality in my hands in 2018-2019 and couldn't type more than an hour or so per day, what really saved me was dictation via Dragon NaturallySpeaking, and for coding I used dragonfly to create programming grammars. I'm happy for this guy for finding a solution but LLMs (in this shape) were late to the party.
Were you as fast dictating code (not just outputting it, but navigating, editing, refactoring etc.) as you were before needing it? If it was slower, then LLM assistance is significant in making such disability no longer an impairment for the job.
Once you get into it it's not any slower than typing; if anything I think you can actually be faster with a good enough grammar, and it's precise too.

The problem I had eventually was that dictating all day is itself something that wears you out, so you get hoarse and honestly a bit more tired from it when you do it too much.

But no, overall a good Dragonfly grammar should be something that keeps you at least up to par with your typing speed.

Sounds more like CYA.

If instead of LLM you googled do you also say "Here are the CPU architectures pytorch supports, that Google search returned"

You've never said "I found this on Google"?
I mean, up to a point, yes.

If I've researched something and it's my thoughts, it's from me. If I've Google for 30 seconds and copied over the top result, then I generally say it.

Or rather, I generally don't even send that message because I try to my messages have actual substance.