Comment by uean
2 days ago
> I've seen people say something along the lines of "I am not interested in reading something that you could not be bothered to actually write" and I think that pretty much sums it up.
Amen to that. I am currently cc'd on a thread between two third-parties, each hucking LLM generated emails at each other that are getting longer and longer. I don't think either of them are reading or thinking about the responses they are writing at this point.
It's bad enough they didn't bother to actually write it, but often it seems like they also didn't bother to read it either.
Honest conversation in the AI era is just sending your prompts straight to each other.
I mean one thing we have learnt from Epstein is that the 'elite' don't spend much time crafting the perfect email!
Very true, and it's not just creepy elites either. Before I got into tech I worked a blue collar job that involved zero emailing. When I first started office work I was so incredibly nervous about how to write emails and would agonize over trivial details. Turns out just being clear and concise is all most people care about.
There might be other professions where people get more hung up on formalities but my partner works in a non-tech field and it's the same way there. She's far more likely to get an email dashed off with a sentence fragment or two than a long formal message. She has learned that short emails are more likely to be read and acted on as well.
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> the signal-to-noise ratio in AI-drafted comms is brutal
This is also the case for AI generated projects btw, the backend projects that I’ve been looking at often contains reimplementations of common functionality that already exists elsewhere, such as in-memory LRU caches when they should have just used a library.
Bad example, you really should just write caching yourself. It’s far too little code to pull in a dependency and if you write it yourself in every project that needs it then you will get good at it, so cache invalidation bugs won’t be an issue.
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oh the irony