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Most Americans think AI won’t improve their lives, survey says (arstechnica.com)

submitted 3 days ago by [email protected] to c/[email protected]

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US experts who work in artificial intelligence fields seem to have a much rosier outlook on AI than the rest of us.

In a survey comparing views of a nationally representative sample (5,410) of the general public to a sample of 1,013 AI experts, the Pew Research Center found that "experts are far more positive and enthusiastic about AI than the public" and "far more likely than Americans overall to believe AI will have a very or somewhat positive impact on the United States over the next 20 years" (56 percent vs. 17 percent). And perhaps most glaringly, 76 percent of experts believe these technologies will benefit them personally rather than harm them (15 percent).

The public does not share this confidence. Only about 11 percent of the public says that "they are more excited than concerned about the increased use of AI in daily life." They're much more likely (51 percent) to say they're more concerned than excited, whereas only 15 percent of experts shared that pessimism. Unlike the majority of experts, just 24 percent of the public thinks AI will be good for them, whereas nearly half the public anticipates they will be personally harmed by AI.

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[–] [email protected] 5 points 1 day ago (1 children)

AI can look at a bajillion examples of code and spit out its own derivative impersonation of that code.

AI isn't good at doing a lot of other things software engineers actually do. It isn't very good at attending meetings, gathering requirements, managing projects, writing documentation for highly-industry-specific products and features that have never existed before, working user tickets, etc.

[–] [email protected] 1 points 25 minutes ago

I work in an environment where we're dealing with high volumes of data, but not like a few meg each for millions of users. More like a few hundred TB fed into multiple pipelines for different kinds of analysis and reduction.

There's a shit-ton of prior art for how to scale up relatively simple web apps to support mass adoption. But there's next to nothing about how do to what we do, because hardly anyone does. So look ma, no training set!