That's what they did this election, and we got fascism and the DNC doesn't matter anymore. So now what?
rational_lib
Do a hostile takeover of the GOP instead. Many states don't care why party you register as, and if they do just register as a Republican and vote in their primaries. Pick a socialist candidate and get them to run as a Republican, and vote for them. This is in essence what Trump did, but of course he did it for fascism and got Nazis to vote Republican. The same strategy can work for anyone else. This can start in safe blue states where no one votes in the GOP primaries and spread from there.
This is a far more realistic strategy because third parties are vulnerable to the spoiler effect and will always fail due to people being worried about electing Republicans.
I used to be open to dating Republican women, Then I actually dated one. Now I'm no longer open to dating Republican women.
Network effects, boomers being unable to figure out how to switch
There will be Fox News appearances.
Twitter is dumb as fucking fuck. Political leaders shouldn't be there. If you shitpost, you shouldn't be in charge of anything but shitposting.
Who could see this coming, other than literally everybody
Yes I do think it was championed by conservative people. And if that statement pisses anyone off, my evidence is that Fannin County GA, where this took place, voted 82% for Trump. It's almost as if the whole "government overreach" thing is just empty marketing for policies that make rich people richer...
That's not actually related to my point though. This is more like:
First they tweeted offensive things about women, and I made sure that thing they tweeted is now the only thing we talk about.
Then we couldn't talk about all the women dying of not getting abortions on time because we're too busy talking about tweets.
Imagine if there was a hack so bad that it caused everyone to become unable to develop in C and C++.
Classic "let's just make the cure worse than the disease" mindset among security enthusiasts.
As I use copilot to write software, I have a hard time seeing how it'll get better than it already is. The fundamental problem of all machine learning is that the training data has to be good enough to solve the problem. So the problems I run into make sense, like:
2 and 3 could be alleviated, but probably not solved completely with more and better data or engineering changes - but obviously AI developers started by training the models on the most useful data and strategies that they think work best. 1 seems fundamentally unsolvable.
I think there could be some more advances in finding more and better use cases, but I'm a pessimist when it comes to any serious advances in the underlying technology.