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What is happening to jobs? Separating AI hype from reality

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231–240 of 412 posts

Re: What is happening to jobs? Separating AI hype from reality

#231

Big caveat to the productivity claim is that it’s concentrated in lesser experienced engineers and vanishes or goes negative with highly experienced engineers. This intuitively makes sense and generally agrees with my experience. LLMs move your baseline towards the mean. If you are below average it improves and if you are above it hinders. But also in my experience, my memory retention of the work done with an LLM is…

Where are you getting that from? It's a productivity tool. Someone who knows what they're doing can leverage LLMs to improve their productivity. Someone who doesn't know what they're doing will be able to increase their output but not do it as effectively and with lower quality.

If anything, it now requires more skill to maximize. If you have strong product and engineering experience you can get even more out of an LLM than one of those skills alone.

Re: What is happening to jobs? Separating AI hype from reality

#232
I open this discussion thread and literally the first two top-level comments I see contradict each other:

> I find that productivity follows a Pareto distribution (80:20 rule) and that AI is a sharper tool in that it enables the already productive to be proportionally more productive and this effect increases as the intelligence of AI increases. So 80:20 becomes a 90:10, 95:5, 99:1 etc.

> Big caveat to the productivity claim is that it’s concentrated in lesser experienced engineers and vanishes or goes negative with highly experienced engineers.... LLMs move your baseline towards the mean. If you are below average it improves and if you are above it hinders.

Re: What is happening to jobs? Separating AI hype from reality

#233
post #27
post #2

A challenge with this kind of study is that coding agents (Claude Code, OpenAI Codex) only started working really well in late November, which for most people meant early January due to the December break. General agents (OpenClaw, Anthropic Copilot, ChatGPT "Work") started working even later than that. This category of software may have a much more meaningful impact on work than the mostly-chat systems we were using…

> A challenge with this kind of study is that coding agents (Claude Code, OpenAI Codex) only started working really well in 2026? 5? 4? 3? Heard this one way too many times.

Since so many people are doubting you here, here is a post from ~a year ago that's pulling the same "LLMs 6 months ago were crap, now they're awesome" shtick: https://fly.io/blog/youre-all-nuts/. There's more posts along this vein being put out from 2024 on or so.

Re: What is happening to jobs? Separating AI hype from reality

#234

Earlier quoted context omitted.

The other day, i was fed up with my mac webcam software. I just needed to fix being washed out. Every piece of software I found cost money, several were a monthly subscription. Over lunch, Claude made a minimal toolbar app that lets me adjust down the brightness. Often, you don't need battle tested. And you don't need a bunch of features. The ai could have shipped my video feed somewhere I suppose, if I were unable t…

Becomes a problem when the next version of Mac OS changes the api, and you have to dig up the code, install dependencies, recompile and fix it. Meanwhile potentially breaking something else.

No, you have an LLM do all that again.

Re: What is happening to jobs? Separating AI hype from reality

#235

Big caveat to the productivity claim is that it’s concentrated in lesser experienced engineers and vanishes or goes negative with highly experienced engineers. This intuitively makes sense and generally agrees with my experience. LLMs move your baseline towards the mean. If you are below average it improves and if you are above it hinders. But also in my experience, my memory retention of the work done with an LLM is…

People gloss over memory retention way too much. You become like a manager who knows about the overview, but not the ins and outs (to a lesser degree).

Maybe it's only me and my inexperience, but only reviewing doesn't make me as "in" as doing it myself.

Re: What is happening to jobs? Separating AI hype from reality

#236
post #122
post #110

Earlier quoted context omitted.

I’m probably illustrating your point but as a FSD fan it really got ”good enough” recently with version 14. The tipping point was suddenly, much more often than not, it can drive end to end from start (my garage) to finish (parked at destination) with no interventions. I can text and watch videos on my phone and as long as I glance up once a minute, it doesn’t complain. Handling highway driving with lane changes was…

> I’m probably illustrating your point but as a FSD fan Half-and-half. I'm not denying that self driving cars (and LLMs) are improving, I'm comparing it against the standards set by the biggest proponents. But yes, I have heard basically the same thing you just wrote for the previous several major releases of FSD. Where we agree is that, while you are a fan, you do explicitly give as an example of something you think…

What matters is the benefit it affords to drivers, not what "biggest proponents" say. Elon got overly excited in 2016, but for my day to day usage, I don't need it to self-charge on a drive across the country to get me. I need it to safely drive my family on my daily errands or weekend trips, which I now consider solved.

I'm mentally prepared for the next US administration to exact retribution on his companies, and I expect FSD will be neutered after that. Hopefully other car companies are able to catch up. I'm more of a self-driving fan than a Tesla fan, so as long as the thing works as well as what I have now, I'll be fine with it.

Re: What is happening to jobs? Separating AI hype from reality

#237
post #2

A challenge with this kind of study is that coding agents (Claude Code, OpenAI Codex) only started working really well in late November, which for most people meant early January due to the December break. General agents (OpenClaw, Anthropic Copilot, ChatGPT "Work") started working even later than that. This category of software may have a much more meaningful impact on work than the mostly-chat systems we were using…

> coding agents (Claude Code, OpenAI Codex) only started working really well in late November,

sigh

reset the clock everyone!

Re: What is happening to jobs? Separating AI hype from reality

#238
post #110

Earlier quoted context omitted.

I’m probably illustrating your point but as a FSD fan it really got ”good enough” recently with version 14. The tipping point was suddenly, much more often than not, it can drive end to end from start (my garage) to finish (parked at destination) with no interventions. I can text and watch videos on my phone and as long as I glance up once a minute, it doesn’t complain. Handling highway driving with lane changes was…

Who is responsible for any accident happening while you use your phone during FSD? It's not FSD until the human is no longer responsible. This half measure bullshit is a joke.

The fact of the matter is that it drives reliably end to end. I don't care who's responsible or what it's called. I only care about the benefit it provides my family, which is immense. If it gets into a crash I know I'm responsible, but given that I consider it a better driver than I am now, this is an improvement over before.

Re: What is happening to jobs? Separating AI hype from reality

#240
post #27

Earlier quoted context omitted.

> A challenge with this kind of study is that coding agents (Claude Code, OpenAI Codex) only started working really well in 2026? 5? 4? 3? Heard this one way too many times.

Since so many people are doubting you here, here is a post from ~a year ago that's pulling the same "LLMs 6 months ago were crap, now they're awesome" shtick: https://fly.io/blog/youre-all-nuts/ . There's more posts along this vein being put out from 2024 on or so.

I find this attitude baffling.

Things are allowed to get better more than once!

The idea that "yeah, you said technology had improved in the past, and now you're saying it has improved again" is a gotcha just seems incoherent to me.

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