@EUCommission

I don’t know if this account is actually monitored, or just a publishing place, but you may have noticed that this post has received almost overwhelmingly negative responses.

You could disregard this as Mastodon bias, but keep in mind that the biggest bias on Mastodon is that people who understand and built core parts of the information technology that you use every day are massively over represented. This is probably the only place you will get a lot of replies from people who both understand technology and do not have a financial incentive to hype things to get large amounts of government funding.

EDIT: I should add, I used machine learning during my PhD and there are a lot of problems for which it is a really good fit. But, in the current climate, it’s generally safe to interpret ‘AI’ as meaning ‘machine learning applied to a problem where machine learning is the wrong solution’. It isn’t a technology, it’s a branding term, and it’s a branding term used almost exclusively for things that have no social benefit.

@david_chisnall
And speaking as an AI positive person, in the sense one can do really nice this with it, when used responsibly by competent people, not when used as a hype buzz word.

WTF are "AI factories"?

"Skills academy"? Aren't university curricula not enough?

And if it's such a great help for industry, why does it need subsidies for adoption?
@EUCommission

@yacc143

"if it's such a great help for industry, why does it need subsidies for adoption?"

this part, right here. So much money and electricity wasted on glorified autocorrect.

Where is the consideration for the unethical way these models are created (using material they had no right to access) and used (such as CSAM, putting female politicians heads on porn actors, etc)?

@david_chisnall @EUCommission