Even if their actions running servers were at 50% load (or even 20%) at the end of 2025, they'd be screwed right now, at this point it's as much a tech/scaling problem as it is a CapEx problem and a construction one. Given the public's responses to AI specific datacenters you can't pick everything.

Even my own systems at home are burgeoning under the load of the my more ambitious hobby projects I'm doing for fun. I don't envy "we had to build five more datacenters to keep up with demand" class problems just from a how many people have to sign off on them perspective let alone the technical difficulty of doing so

They don't hire well at all. You look at who is on their research team and it's people with social science PHDs, not computer science. Looking at the state of the site it's not a surprise. Highly incompetent people have taken over for a while. Let's not forget a member of the original executive team was a sex pest too.

For like 10 years the only feature development they did was by stealing ideas from GitLab. I wouldn't be shocked if little if none engineering discipline has took place at all during this time if it's this brittle to frequent change.

Guessing it was mostly held together with duct tape and poorly written tests/monitoring systems if any other corporate driven software.

We're really going to find out over the next few years which businesses have good practices or not.

Are you kidding? That's an insane amount of load increase to manage. "Scalability" isn't one thing, especially not at that level, so it's ridiculous to knock them for it. That amount of load ripples across your entire infrastructure.