this post was submitted on 19 Mar 2025
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[–] [email protected] 75 points 4 days ago (11 children)

The actual survey result:

Asked whether "scaling up" current AI approaches could lead to achieving artificial general intelligence (AGI), or a general purpose AI that matches or surpasses human cognition, an overwhelming 76 percent of respondents said it was "unlikely" or "very unlikely" to succeed. 

So they're not saying the entire industry is a dead end, or even that the newest phase is. They're just saying they don't think this current technology will make AGI when scaled. I think most people agree, including the investors pouring billions into this. They arent betting this will turn to agi, they're betting that they have some application for the current ai. Are some of those applications dead ends, most definitely, are some of them revolutionary, maybe

Thus would be like asking a researcher in the 90s that if they scaled up the bandwidth and computing power of the average internet user would we see a vastly connected media sharing network, they'd probably say no. It took more than a decade of software, cultural and societal development to discover the applications for the internet.

[–] [email protected] 20 points 3 days ago (1 children)

It's becoming clear from the data that more error correction needs exponentially more data. I suspect that pretty soon we will realize that what's been built is a glorified homework cheater and a better search engine.

[–] [email protected] 33 points 3 days ago

what's been built is a glorified homework cheater and an ~~better~~ unreliable search engine.

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