So is anyone with more than two brain cells to rub together. What does Anthropic have that MyNewAi Co doesn't? Open models are not bad, and anyone can pay google for GPU rent.
So is anyone with even a minimally functioning brain. Anthropic has no viable business model because models are generic commodity. There's no lockin that Anthropic has because it's trivial for people to switch to a different provider. And whatever improvements Anthropic makes are quickly matched by other models within months.
So, it's a race to the bottom because they have to keep spending more and more money on training the models just to keep ahead of the competition, while prices are driven down by the availability of open models.
Chinese companies understand this, and that's why they give their models away in the open. The real money is going to be in integrations and custom services built on top of the models. The models themselves aren't what's valuable.
This is a real question, because I just don't know. Don't the models needs lots and lots of training that need the gobs of giant data centers? So you either need the infrastructure or the money to buy computing to make the models? I see that all the money is being invested in AI and data centers but I do not quite understand why.
> I see that all the money is being invested in AI and data centers but I do not quite understand why.
I am no economist or business person but AFAICT the massive amount of money being burned is because everyone in the space believes there will be a Google-like (for search) single winner who takes all when the dust settles on the AI race.
Because of this belief they are willing to burn any amount of money they can get their hands on to get to this mythical finish line as fast as they possibly can, seeing it as existential. Moving fast (particularly when your main cost is hardware capex) means moving expensively.
The real question is why anyone (let alone everyone) believes this single-winner theory in 2026 when all available evidence over the past few years shows that there is neither a moat nor a lock-in opportunity at all in this market.
For your product to be fit for purpose, it has to be able to automate your customer's ability to switch to a competing product with little to no friction. And all of the competing products are roughly the same in capabilities over a long enough timeline. Good luck building any kind of real moat with that burden.
But I guess after a certain point after you've taken on hundreds of billions of dollars of investment you're pot committed and just have to keep going through the motions even if you later see the futility, perhaps that's where the AI labs are now...? Either that or just common variety denial.
They have a moat if they're like all the other businesses: unethical, buys it's moat via government protectionism, uses oligarchies to stiffle competition, etc.
Gift link
https://www.wsj.com/finance/major-investors-are-skeptical-an...
They delaying the ipo?
delay deez n*ts
A $1T valuation would imply OpenAI’s most recent round is already under water.
Everyone has to get capital efficient now — and fast!
Minor investors. Semi-major. Everybody
So is anyone with more than two brain cells to rub together. What does Anthropic have that MyNewAi Co doesn't? Open models are not bad, and anyone can pay google for GPU rent.
distribution, market share, a foothold in the enterprise, ...
and how much is gpu rent?
Ask anthropic, its right in their balance sheet in the s1
So is anyone with even a minimally functioning brain. Anthropic has no viable business model because models are generic commodity. There's no lockin that Anthropic has because it's trivial for people to switch to a different provider. And whatever improvements Anthropic makes are quickly matched by other models within months.
So, it's a race to the bottom because they have to keep spending more and more money on training the models just to keep ahead of the competition, while prices are driven down by the availability of open models.
Chinese companies understand this, and that's why they give their models away in the open. The real money is going to be in integrations and custom services built on top of the models. The models themselves aren't what's valuable.
The models themselves aren't what's valuable.
This is a real question, because I just don't know. Don't the models needs lots and lots of training that need the gobs of giant data centers? So you either need the infrastructure or the money to buy computing to make the models? I see that all the money is being invested in AI and data centers but I do not quite understand why.
> I see that all the money is being invested in AI and data centers but I do not quite understand why.
I am no economist or business person but AFAICT the massive amount of money being burned is because everyone in the space believes there will be a Google-like (for search) single winner who takes all when the dust settles on the AI race.
Because of this belief they are willing to burn any amount of money they can get their hands on to get to this mythical finish line as fast as they possibly can, seeing it as existential. Moving fast (particularly when your main cost is hardware capex) means moving expensively.
The real question is why anyone (let alone everyone) believes this single-winner theory in 2026 when all available evidence over the past few years shows that there is neither a moat nor a lock-in opportunity at all in this market.
For your product to be fit for purpose, it has to be able to automate your customer's ability to switch to a competing product with little to no friction. And all of the competing products are roughly the same in capabilities over a long enough timeline. Good luck building any kind of real moat with that burden.
But I guess after a certain point after you've taken on hundreds of billions of dollars of investment you're pot committed and just have to keep going through the motions even if you later see the futility, perhaps that's where the AI labs are now...? Either that or just common variety denial.
They have a moat if they're like all the other businesses: unethical, buys it's moat via government protectionism, uses oligarchies to stiffle competition, etc.