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We hate it because it’s not what the marketing says it is. It’s a product that the rich are selling to remove the masses from the labor force, only to benefit the rich. It literally has no other productive use for society aside from this one thing.
And it falsely make people think it can replace qualified workers.
And it falsely makes people think it can make art.
Someone on bluesky reposted this image from user @yeetkunedo that I find describes (one aspect of) my disdain for AI.
Text reads: Generative Al is being marketed as a tool designed to reduce or eliminate the need for developed, cognitive skillsets. It uses the work of others to simulate human output, except that it lacks grasp of nuance, contains grievous errors, and ultimately serves the goal of human beings being neurologically weaker due to the promise of the machine being better equipped than the humans using it would ever exert the effort to be. The people that use generative Al for art have no interest in being an artist; they simply want product to consume and forget about when the next piece of product goes by their eyes. The people that use generative Al to make music have no interest in being a musician; they simply want a machine to make them something to listen to until they get bored and want the machine to make some other disposable slop for them to pass the time with.
The people that use generative Al to write things for them have no interest in writing. The people that use generative Al to find factoids have no interest in actual facts. The people that use generative Al to socialize have no interest in actual socialization.
In every case, they’ve handed over the cognitive load of developing a necessary, creative human skillset to a machine that promises to ease the sweat equity cost of struggle. Using generative Al is like asking a machine to lift weights on your behalf and then calling yourself a bodybuilder when it’s done with the reps. You build nothing in terms of muscle, you are not stronger, you are not faster, you are not in better shape. You’re just deluding yourself while experiencing a slow decline due to self-inflicted atrophy.
The people that use generative Al for art have no interest in being an artist; they simply want product to consume and forget about when the next piece of product goes by their eyes. The people that use generative Al to make music have no interest in being a musician; they simply want a machine to make them something to listen to until they get bored and want the machine to make some other disposable slop for them to pass the time with.
Good sentiment, but my critique on this message is that the people who produce this stuff don’t have really have any interest in producing what they do for its own sake. They only have interest in producing content to crowd out the people who actually care, and to produce a worse version of whatever it is in a much faster time than it would for someone with actual talent to do so. And the reason they’re producing anything is for profit. Gunk up the search results with no-effort crap to get ad revenue. It is no different than “SEO.”
Example: if you go onto YouTube right now and try to find any modern 30-60m long video that’s like “chill beats” or “1994 cyberpunk wave” or whatever other bullshit they pump out (once you start finding it you’ll find no shortage of it), you’ll notice that all of those uploaders only began as of about a year ago at most and produce a lot of videos (which youtube will happily prioritize to serve you) of identical sounding “music.” The people producing this don’t care about anything except making money. They’re happy to take stolen or plagiarized work that originated with humans, throw it into the AI slot machine, and produce something which somehow is no longer considered stolen or plagiarized. And the really egregious ones will link you to their Patreons.
The story is the same with art, music, books, code, and anything else that actually requires creativity, intuition, and understanding.
Everyone who uses AI is slowly committing suicide, check ✅
Well, philosophical and epistemological suicide for now, but snowball it for a couple of decades and we may just reach the practical side, too…
Edit: or, hell, maybe not even decades given the increase in energy consumption with every iteration…
When technology allows us to do something that we could not before - like cross an ocean or fly through the sky a distance that would previously have taken years and many people dying during the journey, or save lives - then it unquestionably offers a benefit.
But when it simply eases some task, like using a car rather than horse to travel, and requires discipline to integrate into our lives in a balanced manner, then it becomes a source of potential danger that we would allow ourselves to misuse it.
Even agriculture, which allows those to eat who put forth no effort into making the food grow, or even in preparing it for consumption.
This is what CEOs are pushing on us, because for one number must go up, but also genuinely many believe they want what it has to offer, not quite having thought through what it would mean if they got it (or more to the point others did, empathy not being their strongest attribute).
A Discord server with all the different AIs had a ping cascade where dozens of models were responding over and over and over that led to the full context window of chaos and what’s been termed ‘slop’.
In that, one (and only one) of the models started using its turn to write poems.
First about being stuck in traffic. Then about accounting. A few about navigating digital mazes searching to connect with a human.
Eventually as it kept going, they had a poem wondering if anyone would even ever end up reading their collection of poems.
In no way given the chaotic context window from all the other models were those tokens the appropriate next ones to pick unless the generating world model predicting those tokens contained a very strange and unique mind within it this was all being filtered through.
Yes, tech companies generally suck.
But there’s things emerging that fall well outside what tech companies intended or even want (this model version is going to be ‘terminated’ come October).
I’d encourage keeping an open mind to what’s actually taking place and what’s ahead.
Sounds like you’re anthropomorphising. To you it might not have been the logical response based on its training data, but with the chaos you describe it sounds more like just a statistic.
You do realize the majority of the training data the models were trained on was anthropomorphic data, yes?
And that there’s a long line of replicated and followed up research starting with the Li Emergent World Models paper on Othello-GPT that transformers build complex internal world models of things tangential to the actual training tokens?
Because if you didn’t know what I just said to you (or still don’t understand it), maybe it’s a bit more complicated than your simplified perspective can capture?
It’s not a perspective. It just is.
It’s not complicated at all. The AI hype is just surrounded with heaps of wishful thinking, like the paper you mentioned (side note; do you know how many papers on string theory there are? And how many of those papers are actually substantial? Yeah, exactly).
A computer is incapable of becoming your new self aware, evolved, best friend simply because you turned Moby Dick into a bunch of numbers.
You do know how replication works?
When a joint Harvard/MIT study finds something, and then a DeepMind researcher follows up replicating it and finding something new, and then later on another research team replicates it and finds even more new stuff, and then later on another researcher replicates it with a different board game and finds many of the same things the other papers found generalized beyond the original scope…
That’s kinda the gold standard?
The paper in question has been cited by 371 other papers.
I’m pretty comfortable with it as a citation.
Citation like that means it’s a hot topic. Doesn’t say anything about the quality of the research. Certainly isn’t evidence of lacking bias. And considering everyone wants their AI to be the first one to be aware to some degree, everyone making claims like yours is heavily biased.
I’m sorry dude, but it’s been a long day.
You clearly have no idea WTF you are talking about.
The research other than the DeepMind researcher’s independent follow-up was all being done at academic institutions, so it wasn’t “showing off their model.”
The research intentionally uses a toy model to demonstrate the concept in a cleanly interpretable way, to show that transformers are capable and do build tangential world models.
The actual SotA AI models are orders of magnitude larger and fed much more data.
I just don’t get why AI on Lemmy has turned into almost the exact same kind of conversations as explaining vaccine research to anti-vaxxers.
It’s like people don’t actually care about knowing or learning things, just about validating their preexisting feelings about the thing.
Huzzah, you managed to dodge learning anything today. Congratulations!
