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Comment by leptons | Hacker News Reader

> probably have to read 200+ LLM generated messages a day and reply back in great detail about 5 times a day (think of an email instead of chat message).

I can think of nothing more tiresome than having to read 200 emails a day, or LLM chat messages. And then respond in detail 5 of those times. It wouldn't lead to "3x to 4x" performance gain after tallying up all the time reading messages and replying. I'm not sure people that use LLMs this way are really tracking their time enough to say with any confidence that "3x to 4x" is anywhere close to reality.

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A lot of the messages are revisions so it is not as tedious as it may seem. As for the "3x to 4x", this is my own experience. It is possible that I am an outlier, but 80% of the generated AI code that I have are one-shot. I spend an hour or two (usually spread over days thinking about the problem) to accomplish something that would have taken a week or more for me to do.

I'm going to start producing metrics regarding how much code is AI generated along with some complexity metrics.

I am obviously bias, but this definitely feels like a paradigm shift and if people do not fully learn to adapt to it, it might be too late. I am not sure if you have ever watched Gattaca, but this sort of feels like it...the astronaut part, that is.

The profession that I have known for decades is starting to feel very different, in the same way that while watching Gattaca, my perception of astronauts changed. It was strange, but plausible and that is what I see for the software industry. Those that can articulate the problem I believe will become more valuable than the silent genius.

The same noise was made about pair programming and it hasn't really caught on. Using LLMs to write code is one way of getting code written, but it isn't necessarily the best, and it seems kind of fad-ish honestly. Yes, I use "AI" in my coding workflow, but it's overall more annoying than it is helpful. If you're naturally 3x-4x times slower than I am, then congratulations, you're now getting up to speed. It's all pretty subjective I think.

> It's all pretty subjective I think.

This is very measurable, as you are not measuring against others, but yourself. The baseline is you, so it is very easy to determine if you become more productive or not. What you are saying is, you do not believe "you" can leverage AI to be more efficient than you currently are, which may well be true due to your domain and expertise.

No matter what "AI" can or can't do for me, it's being forced on us all anyway, which kind of sucks. Every time I select something the AI wrote it's collecting a statistic and I'm sure someone is probably monitoring how much we use the "AI" and that could become a metric for job performance, even if it doesn't really raise quality or amplify my output very much.

> being forced on us all anyway, which kind of sucks

Business is business, and if you can demonstrate that you are needed they will keep you, for the most part, but business also has politics.

> probably monitoring how much we use the "AI" and that could become a metric for job performance

I will bet on this and take it one step further. They (employer) are going to want to start tracking LLM conversations. If everybody is using AI, they (employer) will need differentiators to justify pay raises, promotions and so forth.

>> how much we use the "AI" and that could become a metric for job performance

> they (employer) will need differentiators to justify pay raises, promotions and so forth.

That is exactly what I meant.

> if people do not fully learn to adapt to it, it might be too late

Why would it ever be too late?

Age discrimination, saturated market, no longer a team fit (everybody is using AI and they have metrics to backup performance gains), etc.

Can't someone who doesn't use it just..start using it?

Sure it can become a hobby.

Are you implying that someone starting to use AI now has already been left so far behind by experienced users that they would never catch up? That seems ridiculous - it seems to be getting better understood with time, which should make catching up increasingly easier.

No I mean trying to start in a few years. Basically if you feel ai is a fad and are trying to wait things out.

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