It's clear you don't really understand the wider context and how historically hard these tasks have been. I've been doing this for a decade and the fact that these foundational models can be pretrained on unrelated things then jump that generalization gap so easily (within reason) is amazing. You just see the end result of corporate uses in the news, but this technology is used in every aspect of science and life in general (source: I do this for many important applications).
zildjiandrummer1
I'm never surprised how absolutely blatantly corrupt this regime is. Rage inducing.
Mamdani destroyed Cuomo in the first round of RCV, when it was expected to be much closer. This gives me a hesitant hope that nationally the voters want real change within the Democratic party. Let's just hope this isn't a fluke, and the technofascists have really awoken a huge progressive voting bloc.
I said literally this in my reply, and the lemmy hivemind downvoted me. Beware of sharing information here I guess.
That's not what I said. It's absolutely dystopian how Musk is trying to tailor his own reality.
What I did say (and I've been doing AI research since the AlexNet days...) is that LLMs aren't old school ML systems, and we're at the point that simply scaling up to insane levels has yielded results that no one expected, but it was the lowest hanging fruit at the time. Few shot learning -> novel space generalization is very hard, so the easiest method was just take what is currently done and make it bigger (a la ResNet back in the day).
Lemmy is almost as bad as reddit when it comes to hiveminds.
this summer is gonna be HOT
why does anyone care what "they" claim at this point? It's probably 70% straight up lies.
At least it's got what plants crave
That's why there's such fervent pushback against any RCV proposals across the country (from both sides of the duopoly). Many places have already outlawed it because they see it would actually affect real change, and they just can't have a challenge to their financial streams and power.