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Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by tocs3 on Thursday November 05, 2026 @08:13PM (#50386932)
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.

Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by georgemcbay on Thursday November 05, 2026 @08:27PM (#50387015)
> 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 means moving expensively.

The real question is why anyone believes this single-winner theory when all available evidence so far suggests there is neither a moat nor a lock-in opportunity at all.

Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by r_lee on Thursday November 05, 2026 @08:53PM (#50387165)
I feel like there is a case to be made that they will be the dominant players, but if we're talking about them charging a heavy premium and trying to target enterprise customers, then I don't know how well that'll go

they're already making a business model where enterprises buy tokens and put them in a pool for their users to use, and I feel like that's exactly where some companies will then compare that token pricing to open source models and find it hard to justify the prices, especially as it's quite obvious that many models https://news.ycombinator.com/formatdocare now "good enough"

Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by hedora on Thursday November 05, 2026 @09:17PM (#50387314)
That turns into a world where NVidia + AMD get 90% of the profit. Supermicro and friends get the other 10%. (Excluding cloud markups.)
Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by r_lee on Thursday November 05, 2026 @11:14PM (#50388103)
depends on if they're cost efficient. if there comes some kind of "good enough" inference chips and so on (which i believe will happen), then those will simply provide the most tokens per dollar and make open models even cheaper
Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by hedora on Friday November 06, 2026 @11:26AM (#50394482)
Yeah; the open model markup goes to zero. The manufacturers of the "good enough" inference chips are probably going to be some subset of NVidia, AMD, Apple, smartphone SoC manufacturers, and (long shot) Intel.

I shortened my list to NVidia and AMD because putting Apple in muddies my point: I'd argue they'll be able to sell laptops + phones in that world, but only if you can run frontier open models on their devices, and do so efficiently. This is definitely not the case for their in-house AI offerings, like Siri, but it is already true if you install llama.cpp or whatever. I suspect that AI will not be a big revenue source for them (unless they completely turn around their software engineering org), but instead will be a "good enough to keep people from dumping their iCloud subscription" offering instead. Siri is basically that: It's completely useless, but people aren't switching to android because of it.

Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by byzantinegene on Friday November 06, 2026 @01:06AM (#50388751)
they get 90% of the profit, but the pie would shrink without the massive VC investments from anthropic and openai
Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by bandrami on Thursday November 05, 2026 @09:10PM (#50387275)
> The real question is why anyone (let alone everyone) believes this single-winner theory in 2026

In the First World War, when they introduced the tank, everybody assumed its role would be to punch a big enough hole in the front lines that the horse cavalry could ride through and attack the enemy's supply lines, because That's How Wars Endâ„¢. You fight the war you know, even when it's not the one you're actually fighting.

Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by octoberfranklin on Thursday November 05, 2026 @09:31PM (#50387416)
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.

This is a really great identification of why, from an investing perspective, AI is nothing like past technologies.

Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by hedora on Thursday November 05, 2026 @09:10PM (#50387274)
There's a finite amount of training data available, and multiple companies have downloaded all of it. Arguably, trying to get a monopoly on training data is equivalent to getting monopoly access to the open internet + books.

That ain't going to happen, and if it somehow did in the US, things like Anna's Archive + libgen will save the rest of the planet from our self-imposed dark ages.

As for those data centers: The cost of inference and training on the same hardware is dropping much faster than Moore's Law. That multiplies with hardware advances, since Moore's Law isn't quite done yet.

So, those datacenters are depreciating at 50% every 18 months (Moore's law) at the same time as performance/$ and performance/watt of the software is dropping at some crazy rate like 10x per year. So, token per unit of data center is increasing by something like > 20x every 18 months, and that'll probably happen at least one more time. If it does, the datacenters will be provisioned to produce 400x more tokens than they could have when they were sized.

Put another way, if the singularity is coming, the first things it will destroy are those data center build outs. That doesn't matter though: the data centers are being built on circular loans, so the money needed to complete them probably never existed.

Dark times ahead; hopefully Trump will be blamed, since all this corruption happened on his watch while he had control of the senate, house and (partially) the courts. The stock-goes-down graph will show it happening after the midterms, of course.

Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by somenameforme on Thursday November 05, 2026 @09:25PM (#50387363)
> The stock-goes-down graph will show it happening after the midterms, of course.

This, to me, is the most interesting question in all of this. I increasingly feel like we live in a 'post-truth' world with regards to money and the stock market in particular. Like even during the COVID lockdowns the market blinked and then was at record highs within 6 months. It was just lol and completely out of touch with the reality on the ground.

The fed, and government alike, seem to have gradually shifted their mandates from trying to provide to a stable playground to trying to create a playground where important kids are never allowed to fall down. And when your existence is tied to trillions of dollars of the economy, you become the important kid.

Come to think of it this is also probably being exasperated by the rise of money management firms controlling tens of trillions of dollars. When the market valuation is technically just based on sentiment and you control that much money in a self-interested way, you're going to get weird outcomes.

Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by octoberfranklin on Thursday November 05, 2026 @09:32PM (#50387423)
Chancellor On The Brink
Re:Major Investors Are Skeptical Anthropic IPO Can Achieve $... by yogthos on Thursday November 05, 2026 @09:30PM (#50387404)
The models are costly to make, but they're hard to monetize because there's not enough difference between them. It's a general commodity, so profit margins are thin because what companies can charge ends up being pushed down to the cost of inference.