

That’s awesome! Imagine if we took all the resources spent on pushing AI for stuff it isn’t good at and invested them in training models for detecting, classifying and correlating medical indicators and using that to anonymously connect people with a network of physicians and psychiatrists for further evaluation and preliminary diagnostics to help with getting actual treatment.
We could bring a more reliable version of that help your friends happened to get to more people, with less of a random chance that the model will reinforce the issues or misdiagnose people with dangerous consequences. We could improve the world.
Instead, they burn books, fire people and abuse eminent domain to displace people so they can run power lines to feed data centers fucking up the water supply for residents that got no say in whether they want oversized heaters in their backyard.
I’m glad your two friends got some use out of this. Is that really worth the price?

Because your comment seemed to add an anecdotal “it also helped two people” to a long list of evils as if it were equivalent. “Sure, people are suffering because of this, but two friends of mine are better off for it” – is that really worth it?
Aside from the nebulous question of just how it’s supposedly making lives better, and whether that actually is an improvement, the question repeats: Is a fee people’s lives getting better really equivalent to the people losing their homes, water supply or job over it? It’s not that we’re unaware that it might have benefits, it’s that those benefits are massively dwarfed by the evils.
LLMs in particular, and dangerously so. People treat them as virtual humans, use terms such as singularity and trust them with cognitive work a linguistic model plainly isn’t capable of actually doing. They deliver a convincing imitation, but there have been too many instances of that imitation not holding up to any reasonable standard. For a more benign example, Ford had to hire back its fired engineers because it turned out that GenAI can’t actually do their job. Less benign are things like giving harmful “health advice” or reinforcing their users’ delusions and psychoses to the point where they commit violence against themselves or others.
They’re still being hailed as the future, despite evidence backing up what theorists have been warning for a while: A text generator cannot generate meaning and should not be used for any purpose where the content actually matters. That your friends’ word salad happened to resemble useful advice is nice, but it wasn’t actually advice, just the product of a high-tech advice imitator that got lucky.
This is where we need to specify just what we mean by AI.
Language models are useful for linguistic correlation tasks, but the actual utility of that is hard to gauge, because it heavily depends on the mode of the output and on the recipient. Specialised models may make decent assistants for certain types of specialists.
They certainly aren’t capable of the type of “nobody has to work any more” utopia that conmen like Musk and Altmann are selling to the gullible. They’re fundamentally unreliable and their consumption of resources dwarfs their sloppy utility.
So while some form of AI might hold a key to a radically better world, LLMs and generative AI aren’t it.
Probably? Have you taken a look around or read the whole list you replied to? The hype already is destroying lives, and there’s a slew of experts calling out the fraudulent scheme they’re pulling on the stock market.
The one point I’ll concede to the scammers is that it has fundamentally altered our world.
Just not for the better.
It starts with being honest and clear about what “this” actually is, understanding what it isn’t and not making excuses for a deeply destructive technological complex just because the mathematical parrot emits some useful responses now and then.