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Quothling 2 hours ago

Around here AI isn't really more of a threat to juniors than it is to seniors. It's a threat to the people who have been taught "recipies" rather than applied computer science. You can have excellent seniors who can do TDD, DRY, SOLID and so on, who also happen to have no idea what a L1 cache miss is. The current AI models know all of those things, but they struggle applying them correctly without someone piloting them. Even in the energy industry where I work, where you'd think it would be obvious from the context that you should prioritize runtime safety over debug safety, the current AI models struggle to do so. As far as seniority goes, though. If we can find a young developer with little experience who actually knows computer science, we're much more likely to hire them... Since they are cheaper.

This isn't something which is unique to software development though. We're currently building enterprise AI apps that we can deploy into the AI agents working for anyone of our employees. The key thing we're currently seeing is that the people in a team who are the ones that everyone turn to for advice, are the only people who aren't in "danger". Even people who are great at their jobs are being outperformed by AI in many cases.

I think it'll be a massive challenge for our society in the coming years. Maybe we're even going to get to the point where the AI will also be capable of replacing a lot of the "domain experts". Right now that seems far out, but then, if you had asked me about AI four months ago I would've told you it was all hype.

zarzavat 26 minutes ago | parent | next [-]

AI is a threat to everyone. People who claim that AI will never be able to do X have consistently been proven wrong.

The only people who are safe are those whose jobs depend in some way on their humanity. e.g. yoga teachers, bouncers, etc

rakel_rakel 2 hours ago | parent | prev | next [-]

Interesting, thanks. I don't know where "around here" is, but the signals I've seen in a lot of articles is that the demand for junior software people has taken a dive since a year or two back, with student programs etc getting cancelled. One googler said they were getting a junior to their team and that was kind of a big deal because it hadn't happened in that whole department for a long time.

In relation to that, I guess my question becomes: if the same thing will happen in math research, who will write the ten page math proof prompts in the future?

marcosdumay 2 hours ago | parent | prev | next [-]

So... The AIs with no model of the world are replacing software developers that have no model of the world?

p-e-w 44 minutes ago | parent | prev [-]

Unless you’re claiming that AIs will suddenly (and very soon) stop improving, they are obviously a threat to everyone’s job.

Calling notable conjectures that have been open for decades “low-hanging fruit” is an act of desperation. Most professional mathematicians couldn’t have proved those conjectures if their lives depended on it.

skybrian 24 minutes ago | parent | next [-]

I wouldn’t call it “low hanging fruit” but it’s easy to think of problems that seem harder. Apparently solving notable math conjectures is easier than building a practical robot to deliver a package to someone’s porch?

So, yes, AI is a big deal and we don’t know what it’s going to affect, but there’s goal of replacing everyone’s job is extremely ambitious and there’s a long way to go.

This has to be assessed separately for each kind of job.

pfdietz 8 minutes ago | parent [-]

Moravec's Paradox strikes again!

Moravec must be at some level gratified things are arriving close to his predicted timeline.

xorcist 28 minutes ago | parent | prev | next [-]

The thought that anything could improve without bounds would be absurd. We are living in the physical world after all. The (open, interesting) question is how close we are to the limit.

pydry 14 minutes ago | parent | prev [-]

>Unless you’re claiming that AIs will suddenly (and very soon) stop improving

Most technologies level off sharply after bouts of boundless improvements.

In 1968 they thought we'd be flying to the moon by now but instead we're flying across the ocean in planes not that different from the 747 that existed back then.

pfdietz 7 minutes ago | parent [-]

They sometimes start improving again. In the context of your comment, look how the cost/kg to LEO has suddenly dropped radically. This was mostly due to institutional change that allowed previous non-technological barriers to improvement to be bypassed.