I'm really unsure about how to compare timeframes.
Totally fair. I think the relevant difference is that we're still in the middle of the advent of this technology, we still have a hardware shortage that limits access to it, and it began as we were already entering a crisis era and economic downturn. From our vantage point, we only see the damage caused by the tech, not the potential long term impact, and we are (rationally) assuming the worst.
But if a new scientific revolution could happen as a result of AI for the betterment of humanity, do we want to accidentally prevent that by throwing it out with fascism?
(And if that is in our future, the next question historians 500y from now will ask is, could it have even been avoided? Much like we could ask now, was there a timeline where the original printing presses were destroyed out of fear of corrupting the masses? And realistically, how long would that have lasted before a new one was built?)
3 years ago is an arbitrary point in time. Neural networks were invented 70 years ago.
But we both know that when people say "fuck AI" they're not talking about anything other than generative AI made in the last few years.
I don't really get what you mean by fear...I think it's natural to feel a lot of rejection towards all of that.
Fear has defined the Trump era for the last 10+ years. It is why countries all over the world are tilting to the right. It is the necessary ingredient for fascism to gain traction. It happened during the great depression all over the world, even in the US, and it's happening now.
I'm not saying it's an unnatural or unreasonable reaction, I'm saying it's causing democracies to be prone to rash decisions. If you recall, this thread is about the use of AI in FOSS projects. The most prominent sentiment by 99% of people in this thread is "fuck AI, burn it down and anyone who uses it". And if that fear-based reaction is what prevents well-meaning, intelligent open source maintainers from being allowed to leverage an objectively powerful phenomenon to responsibly and ethically usher in a new scientific/FOSS revolution, we would be remiss to stifle that opportunity out of fear.
Edit: and to be completely honest, I don't know who is upvoting me, because it's very uncharacteristic of randos to follow a thread this dense between two people. I get the sense that there are bots in this thread voting for/against their favorite ideologies.
To be clear, I'm saying the opposite. Fear is the necessary ingredient that causes fascism. Everyone is seeing wealth inequality, and jobs going away, and cost of living rising, and (depending on the country) healthcare costs rising and quality getting worse. There is a lot of fear going around all over the world, and that's the classic environment for a demagogue to step in, point at a scapegoat, and stoke populism. As we've learned in the US in the last decade, it's a short jump from there to fascism, and Germany and Italy weren't the only countries to learn the same lesson back during the great depression. Canada was about to elect their own version of Trump, but instead elected Carney in direct response to Trump's aggression. So I'm confident if it wasn't Germany back in the 30s, it would have been someone else, possibly even the US. We did our own internment camp stuff towards the japanese, and there was famously a pro-nazi rally that was held at Madison Square Garden in NYC in 1939. The fear was everywhere, it just came to a head with Germany first.
Hah, understatement. And yet democracies still reliably fall for it. And the reason is they have fears that make them prone to exploitation.
Absolutely not what I'm suggesting. The opposite. As I mentioned before, I tend to believe that any models trained on stolen public data should be made public domain, and to whatever extent possible, the companies using them should need to license the resulting models from us.
Edit: but I'm specifically against any govts taking a stake in these companies, because that's effectively a bailout for them. They would love to unload their risk on the people.