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Research shows more than 80% of AI projects fail, wasting billions of dollars in capital and resources: Report (www.tomshardware.com)

submitted 2 months ago by Alphane_Moon@lemmy.world to c/technology@lemmy.world

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RAND Report - The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed

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[–] where_am_i@sh.itjust.works 3 points 2 months ago (1 children)

A bunch of people fine-tuning an off-the-shelf model on a proprietary task only to fail horrendously will never lead to any progress, let alone AGI.

So, nobody is trying AGI.

If all those people would actually collectively work on a large-scale research project, we'd see humanity advance. But that's exactly my point.

[–] ContrarianTrail@lemm.ee 0 points 2 months ago* (last edited 2 months ago) (1 children)

"Nobody is trying AGI" is simply just not true. If you think what they're doing will never lead to AGI, then that's an opinion you're free to have, but it's still just that; an opinion. Our current LLM's are by far the closest resemblance of AGI that we've ever seen. That route may very well be a dead end but it may also not be. You can't know that.

[–] where_am_i@sh.itjust.works 1 points 2 months ago (1 children)

Oh gosh, look, an AI believer.

No, LLM will not lead to AGI. But even if they did, applying existing tech to a new problem only to fail cuz you're dumb at estimating the complexity does not, in fact, improve the underlying technology.

To paraphrase in a historical context: no matter how many people run around with shovels digging the ground for something, it will never lead to an invention of the excavator.

[–] ContrarianTrail@lemm.ee 0 points 2 months ago* (last edited 2 months ago)

Ad hominem and circular reasoning isn't a valid counter-argument. You're not even attempting to convince me otherwise, you're just being a jerk.