That's exactly what I'm getting at. These fuck-nuggets win primaries because practically nobody bothers to vote in them. He won with 39,133 votes in total versus Villarreal's 24,908, in a district with around 120,000 voters. The biggest winner of the primaries there was "didn't fucking bother to show up."
Every time I have to use my work laptop (with Windows) for anything, it feels like a giant step back. Lately it's even worse; it feels like that step is right into some dog shit.
This might legitimately be the year of the Linux desktop, not because Linux suddenly got better, but because Windows finally got unacceptably bad.
My favorite example: Copilot to read your emails for you and send responses automatically. Get two people with Copilot sending each other emails with neither person actually involved. Efficient!
Tall guy, here. There are specific exercises you can do to strengthen and stabilize your back, and that might help. I've actually got fewer back troubles than I did when I was young and stupid, because I'm taking care of it.
This is what failing to enforce their orders has wrought for the judicial branch. ICE will continue ignoring them until judges start ordering their bailiffs to take these scumbags straight to jail from the courtroom.
It goes beyond the problems introduced by the model router, though. I have to work with GPT 5.2 for my job (along with Claude, Gemini, and a few others), and we have enterprise API access to it. So when I select GPT 5.2 as the model to use, it's spending tokens to actually use it.
And it's pretty bad. It's noticeably worse than the 4.x series. I find myself having to fix its mistakes far more often.
I've struggled to reason out an explanation, and model collapse really seems like a contender, especially if you follow information theory and why training these things is so hard.
As it happens, there's a new talk about exactly this from George D. Montañez. You might find it interesting: https://youtu.be/ShusuVq32hc
Then why are newer versions of the major models performing so poorly? For instance, GPT 5.2 is definitely not an improvement over 4.5. What's the root cause?
You wanna know who really bags on LLMs? Actual AI developers. I work with some, and you've never heard someone shit all over this garbage like someone who works with neural networks for a living.
They're also not providing a large language model, so they actually did have a path to profitability. It's keeping LLMs updated and running that costs so much money that companies trying to do so are losing billions, and Midjourney doesn't have that problem.
It's just that their path to profitability was built on plagiarism on an astonishing scale. You're spot on, they should have been utterly destroyed right at the start.
That's exactly what I'm getting at. These fuck-nuggets win primaries because practically nobody bothers to vote in them. He won with 39,133 votes in total versus Villarreal's 24,908, in a district with around 120,000 voters. The biggest winner of the primaries there was "didn't fucking bother to show up."