5,350 karma · joined March 27, 2020
In other news, Turkey farmers encourage you to buy more turkey for Thanksgiving.
You’re assuming other model creators can’t build these mega models. Evidence is they’ve simply decided it’s a fools game to do so and they’re focused on where the use cases are.
There’s also zero stickiness to models and most companies now have their own internal routing utilities so devs and users can just keep the same API endpoint and move between models with a single line of code swap.
Unless something changes with the big labs and fast, they look pretty f*cked.
1. The US is still the top desired place to move by a large margin
2. There a variety of evidence to suggest that this also splits by tier of talent. For the best of the best the desire to move to the US remains strong. What has clearly attenuated is the lower tiers, with the crackdown on H1Bs and other areas there’s clearly fewer lower tier talent folks flooding in. That’s impacting tech masters degree mill type folks. but ultimately not a terrible thing as that system has been broken for a while.
Everyone knows these loans are dogshit but if anyone moves first to say so then everyone else’s loans basically are screwed too. So everyone is incentivized to pretend like there’s no problem even though everyone knows there’s a problem.
On the datacenter side the closest analogy is the fiber buildout of the .com bust. While that fiber ended up being useful decades later it’s unclear what value a bunch of half-completed datacenters will bring if their owners go bust.
It’s capital intensive, doesn’t easily scale without linear costs, is basically a commodity, seemingly has negative cashflow forever, and customers aren’t willing to pay what it actually costs. It’s basically the worst tech business model and yet somehow VCs caught a spell and threw every available penny into the fire.
Watching this all unravel is going to be interesting.
These programs were, in theory, well intentioned but to suggest they did nothing wrong is simply factually incorrect.
In the bizzare world of today, rather than trying to convince folks that they have a viable business the AI labs appear fully dedicated to finding a story, any story, that lets them off the hook for tough business and financial questions they seemingly don’t have basic and good answers for.
“We’d be doing awesome financially right now, but we had to slow down because of the killer self replicating bots… humanity over profit!” is not a messaging that’s going to work in the public markets to explain quarter after quarter of massive losses.
Corporate lawyers now broadly advise their companies against putting any money towards demographic-specific initiatives due to the risks of being sued for discrimination.
Buying a booth at an event would probably be seen as fine but I can only imagine pitches to be a title sponsor were met with “don’t touch this” advice from corporate lawyers.
Since DEI imploded most companies won’t touch anything with a 100 ft pole that looks like it might go anywhere near that, and seems like that didn’t help on funding and sponsors.
This always seemed like a good event and only ever heard positive things about it. The controversies and scandals surrounding DEI were not about this, and thus it would appear this may be collateral damage.
Built by a guy that asked ChatGPT how to be a spy.
OpenAI released an AI video app to the masses for free, made a bunch of promises, and then just shut it down.
So there’s a growing body of evidence that while neither of these are in great financial shape, Anthropic looks to be the more disciplined of the two.
Some banks will suffer losses but there isn’t data to say the banks will fail en mass. This is bad, but not 2008 bad in so far as the stability of the financial system.