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The air begins to leak out of the overinflated AI bubble
(www.latimes.com)
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this post was submitted on 06 Sep 2024
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I find it insane when "tech bros" and AI researchers at major tech companies try to justify the wasting of resources (like water and electricity) in order to achieve "AGI" or whatever the fuck that means in their wildest fantasies.
These companies have no accountability for the shit that they do and consistently ignore all the consequences their actions will cause for years down the road.
It's research. Most of it never pans out, so a lot of it is "wasteful". But if we didn't experiment, we wouldn't find the things that do work.
Most of the entire AI economy isn't even research. It's just grift. Slapping a label on ChatGPT and saying you're an AI company. It's hustlers trying to make a quick buck from easy venture capital money.
You can probably say the same about all fields, even those that have formal protections and regulations. That doesn't mean that there aren't people that have PhD's in the field and are trying to improve it for the better.
Sure but typically that's a small part of the field. With AI it's a majority, that's the difference.
No, it is the majority in every field.
Specialists are always in the minority, that is like part of their definition.
The majority of every field is fraudsters? Seriously?
Is it really a grift when you are selling possible value to an investor who would make money from possible value?
As in, there is no lie, investors know it’s a gamble and are just looking for the gamble that everyone else bets on, not that it l would provide real value.
I would classify speculation as a form of grift. Someone gets left holding the bag.
I agree, but these researchers/scientists should be more mindful about the resources they use up in order to generate the computational power necessary to carry out their experiments. AI is good when it gets utilized to achieve a specific task, but funneling a lot of money and research towards general purpose AI just seems wasteful.
I mean general purpose AI doesn't cap out at human intelligence, of which you could utilize to come up with ideas for better resource management.
Could also be a huge waste but the potential is there... potentially.
I don't think I've heard a lot of actual research in the AI area not connected to machine learning (which may be just one component, not really necessary at that).