NotAnOtter

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@NotAnOtter@lemmus.org · Joined ⁨Sep⁩ ⁨2026⁩

Replying to a post on ⁨discuss.tchncs.de⁩

If I could make 70% as much in a different field, I would have switched by now.

I no longer enjoy my field as a profession. There is no “solving” anything anymore, it’s just prompting a bot and building tools that make it better and better at replacing me. But the reality is, without pursuing a masters in a different field, this is the most money I can make for the lowest amount of work. The field is dying and in the mean time we’re taking home standard salaries.

Personally I’m pursuing a fintech specialty since IMO specializing is our last hope to survive the AI destruction. But I don’t enjoy it.

Replying to @⁨BillionaireStew@lemmy.world⁩

Self checkout in theory is better for both sides - business and consumer.

That said most self checkout as implemented is insufferable. The modern experience is waiting 5 minutes for someone to clear out your order because you accidentally clicked the version of Limes that this store doesn’t sell, despite it being an option on the POS, or to tap no / decline on the 5 different “Donate? Round up? Bag? Survey? Phone number?” prompts, or for the POS to lock up because you scanned a single can 3 times rather than 3 cans once, or for the cart to lock up so you slam your shin into it because the camera determined you were a thief.

Personally I avoid all self checkouts.

Replying to @⁨VinegarChunks@lemmus.org⁩

Some have, most haven’t. And those that have had mostly adopted the philosophy of “Every token spent is a a token spent well; except the ~10% of staff that abuse/misuse them”.

And with that philosophy, you naturally want to set the per-person budget at around the 90th highest spender. Which is what most did (some version of it).

So very few companies have actually set a truly restrictive policy. Just a “don’t abuse this” policy. But that will change IMO.

Replying to @⁨VinegarChunks@lemmus.org⁩

I agree in principle. It’s getting harder to believe that is possible at this point.

A combination of 1) companies maturing their AI policy and ending the “infinite play time” model most have had since 2021 e.g. cutting spending and 2) open source and open parameter models becoming better and better and cheaper. Data centers will still be in demand for #2 but the ai providers will hurt.

Replying to @⁨partzel@lemmy.world⁩

It’s among the more annoying parts of the whole AI thing, amid an ocean of things too-concerning-to-be-annoying.

“AI” / llm’s, are not artificial intelligence in the way laypeople mean it, and in the sense that LLM’s are AI - we’ve had AI for decades. Occasionally I’ll be socializing with someone I consider very intellgenet (e.x. recently, a chemical engineer) who was telling me how they just learned AI’s ‘just predict the next word’, and it just bugs me so so much how little people understand these things.

Like, they are ruining our world. Climate, commerce, security - everything is going to get a LOT shittier. And you don’t understand at a basic level how it works. It’s just sad.

Replying to @⁨EatMyPixelDust@lemmy.blahaj.zone⁩

If an AI was provably 100% correct then I guarantee you people would listen to it.

People seek for god & other higher powers for much less reasonable logic than “a machine that is always correct no matter what”.

The reality is AI as it’s known today (generative stochastic models) can not ever reach “100% correct”, by definition of being a generative stochastic model. So you’re essentially discussing a fantasy computer that we are not close to every having IRL -> It’s not relevant.