It’s like Toys R Us not having enough money to pay Mattel for Barbie dolls and telling Mattel they can have partial ownership of the company if they just supply them with some more toys.
But the problem is that Toys R Us is spending $15, 20, or maybe even $50 (who knows?) to sell a $10 toy.
Toys R Us continues selling toys faster and faster despite a lack of profit, making Mattel even more dependent on Toys R Us as a customer. It blows up the bubble where a more natural course of action would be for Toys R Us to go bankrupt or scale back ambitions earlier.
Because it’s circular like this, it lends toward bigger crashing and burning. If OpenAI fails, all these investors that are deeply integrated into their supply chains lose both their investment and customer.
It's like how Uber and Airbnb in the early days were burning loads of cash to build market share. People went to these services because they were cheaper. Then they would increase prices once they had a comfortable position.
OpenAI is also in a rapidly transforming field where there are a lot of cost reductions happening, efficiency gains etc. Compared to say Uber which didn't provide a lot of efficiency gains.
Unfortunately that doesn't change the fact even a small miscalculation could have an enormous impact. We are approaching levels of risk comparable in size to the subprime crisis of 2008.
I disagree. It's like Uber and Airbnb in how they try to gain market share. Big difference: For Uber (and when it got big, basically everybody I know has used it once in a while) and Airbnb, you oaid for each transaction. With OpenAI, most peopme are on the free tier. And if there is something incredibly hard, it's converting free users to paid users. That will, IMHO, be the thong that blows (many) of the AI companies up. They won't ever reach a profit/loss-equality.
But also ever increasing quality requirements. So we can't possibly know at this point if this is a market with high margins or not.
Google has to pay Apple billions of dollars to make Google.com the default search engine. I just looked it up, over 15% of search revenue goes to pay to be the default search engine.
Every Android device defaults to Gemini.
Every Microsoft device defaults to Copilot.
I’d love to see where these cost reductions are. If costs are going to decrease rapidly why does OpenAI’s spending plan look so insane?
> Every Microsoft device defaults to Copilot.
I don't think it's right to say that these devices "default" to their vendors' AI software when it's impossible to replace it with something else. Yes I can install Claude as a standalone app but I don't have the OS-wide integration that Gemini does for Android for example.
OpenAI and others are already profitable on inference (inference is really really cheap)
They are just heavily investing into the latest frontier
The biggest risk is whether they can stay cutting edge, or if open source or others will catch up quickly.
If it's that cheap I'll soon be doing it self-hosted, or switching to a local provider.
It's a race to the bottom for tokens-providers.
Eventually there will be a race to the bottom on inference price to the customer by companies that aren't trying to subsidize their GPU investments.
OpenAI is spending money because they think they need to for their business to survive. They're hoping that the next big breakthrough just requires more compute and, somehow, that'll build them a moat.
I personally think we haven't cracked AGI yet but it doesn't change their calculus.
cough Sora cough
Obviously, there’s a scenario of super power AI and then it’s a matter of continuing course. Electricity and silicon.
What if you are right, and the scaling doesn’t work. It is too much power, time, hardware to improve… does openAI fold?
Do they just actual use the models they have?
Does everyone just decide that AI didn’t work and go back 5 years like it didn’t happen?
Does the price change so that they have to be profitable making AI services expensive and rare instead of today where they are everywhere pointlessly?
Or does this insane valuation only make sense with information you don’t have like insider scaling or efficiency news?
Does China’s strategy of undercutting US value of models pay off bigly?
It is not like we threw away the dotcom advances, they were just put on hold for a while..
The other variation goes in reverse -- using the legacy asset and it's capture labor force to output some kind of a commodity that is sold below market price to a controlled company in a different jurisdiction, where it's resold at small discount of a market price. The company still has to function here too.
Bonus points for not even owning the asset in question, but having effective control over it through the corrupt management, this way the government still pays the bills to keep it running at loss.
What you are describing is actually very western thing, because it assumes you can exchange the asset into cash directly and then buy something with that liquidity, which assumes solid property rights. I'm not even talking about OpenAI being an actual tech company that just wasn't there before. It's not how oligarchy works in the places.
Since the US is slowly moving in a direction of oligarchy, I think the actual reference will be helpful.
I've always thought this. If you're running something like OpenAI, it really doesn't matter to you if the company fails because you're already comfortably wealthy. But, it sure would be nice to be worth another 10x billion - though I'm not totally sure why.
So these individuals perceive a large upside and no downside. It's more of a hobby than a job. Like learning to play piano. It would be amazing to be a badass pianist...but not a big deal if that never happens.
