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47% Positive
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#ipo#models#anthropic#more#why#profitable#open#pay#month#don

Discussion (57 Comments)Read Original on HackerNews
Even in my non-SWE job, paying $100/mo for my current $20/mo plan would still be a no-brainer.
I don't think there is much concern about open models either. Compute is constrained for the foreseeable future, and money is what will determine who gets it. Nevermind that the US will likely block Chinese model imports or China will block exports at some point. The cold war has already begun here.
At the investment scales being discussed, CUDA/architecture and other advantages do not matter - you could spend 1 billion on building a new chip architecture. The ram/fab inputs have been a commodity market for years. Heck, even the model bottleneck doesn't seem real when it's only 1-4 billion or less to get a state of the art model.
At some point the compute bottleneck will be relieved, you can see NVidia hedging their strategy with both open models and on-device chips targeted for local inference. The 200 dollar a month plan will absolutely be taken over by local hardware in the future.
The average American family won’t be willing to pay more than a Netflix subscription.
I think in five years, it will only be power users that use a model in its raw form - everyone else will mostly consume using wrapper apps.
We still have 2billion+ people offline. Looking at global population is the wrong reference frame for selling a $100/mo service.
I think more realistically we'll have something like the Google/social media US-vs-world profit split of 40-50% US vs rest of world combined. Even those numbers can work out but then I don't see tremendous growth.
But the sector valuation is already priced for wholesale workforce replacement or massively expanded productivity and AI platform providers taking a lot of that pie for themselves.
With corporate profits already near all-time highs with respect to GDP, who is going to buy all those new products (from expanded productivity ) if all the gains only go to OIA and Anthropic employees?
It's an interesting time.
There is competition everywhere, and it is intensifying and catching up, not fading away. Open weight models are becoming more common, both within the US as well as elsewhere. Treasury secretary Scott Bessent just praised Meta's open weight models.
There is demand for AI at all different price points, and as all models at all price points become more capable, it seems that increasingly developers are seeing the most expensive ones as specialized tools, not daily drivers.
Compute/memory may be constrained for a few years until production capacity catches up, but this does not mean that demand for cheaper and open weight models will go away, else it would already be happening. Anthropic would like to sell an expensive Ferrari to everyone on the planet, but 99.99% of those people have no need for anything more than a Yugo.
Just look at software over the last 20 years. People pay based on the value they receive, not the cost the produce or serve it. That fact is literally is the backbone of tech, and why it has been an absolute money machine.
I think the worst case scenario for the labs is current (or next gen) SoTA models reaching a point where cheap consumer hardware can fully run them. But the labs practically have a monopsony on compute, and getting the kind of long context current models thrive on out of 16GB GDDR6 is gonna be a trick.
Most people shouldn't open their mouths / write anything re. valuation TBH.
Why on earth do data centres need to be built from cashflow???
There's a reason why a company like Stripe can stay private far longer than Anthropic or OpenAI can.
These AI companies have taken in all the capital from private investors and are still losing hundreds of billions and have no choice but to hype up the IPO and dump some of the stock at a purposefully inflated valuation to retail investors.
The S-1 has to include, among other things, three years of audited financial statements, plus interim statements (unaudited). It will cover both revenue and expenses, the latter breaking out things like cost of revenue, R&D, sales and marketing etc.
Based on the (unofficial but reported) IPO target date of late Sep to early Oct, the S-1 will have to be made public in a few weeks from now.
The financials were always bad. Everyone with half a brain avoided the IPO. Did you?
This is the biggest capital buildout on history. Saying money will be wasted is not insightful, it's obvious.
https://www.sec.gov/resources-small-businesses/exempt-offeri...
Why are you posting about stuff you have zero clue about?
Oh theres no positive side... yes there is. There is a huge amount of failure risk weighing on both OAI and Anthropic - investors don't care about how great you claim your technology is gonna be. They want to know if a viable buisiness model is taking form and whether you will be around long enough given the investment time horizon of the investor.
Right now China is making that failure risk even larger. This directly affects the IPO.
The market cap however is only $50 billion:
https://www.macrotrends.net/stocks/charts/MBGYY/mercedes-ben...
That means that Anthropic with its lousy revenues should have an IPO for $25 billion and not $2 trillion. All growth scenarios are a complete fantasy. They aren't even profitable and will never be.
Many people have reported that their use would be drastically more expensive with the API. None have (afaict) reported how much the average subscription is used.
FCFF = EBIT(1-t) - Reinvestment.
This is how the operating assets are valued via intrinsic valuation.
Could they generate immense earnings and cash flows net of reinvestment? Sure. DO I believe so? Nope. They've got way too out infront ahead of their skies about where this technology belongs and operates best.
Both OAI and Anthropic tried to time their pricing to look good heading into an IPO window.
They got screwed as China has kept up. Wonder how they're gonna overcome this problem - protectionism? Maybe.
Very impressive growth for sure (they doubled in around a month?), but we don’t know the ratio of paying seats
You're projecting your preference for these products onto a hugely fragmented group of people.