The idea of removing model training from your costs is a little wild tbh.
The profitability of being able to serve a query wasn't really under question (nor is the margin expected to be anything less than 80%+) I think.
Yeah, I didn't believe they'd claim something like that. But yes indeed, from the article:
> Anthropic's gross margins are above 80% before accounting for revenue shared with distribution partners, including Amazon (AMZN.O), opens new tab, and the cost of training its model,
Is this how all AI companies calculate if they're profitable or not, by removing the highest costs? What a circus.
Note this claim is about „operating profit“, which commonly is the revenue - operating expenses (COGS, rent, payroll). This does not include RnD cost.
>Anthropic's gross margins are above 80% before accounting for revenue shared with distribution partners, including Amazon (AMZN.O), and the cost of training its model, the newspaper said.
Gross margin is typically (revenue - COGS) / revenue. Thus, both statements above seem generally in line with commonly accepted accounting standards.
In one sense, yes, but I do see people question it regularly.
It is certainly not above them to play accounting tricks to pretend to be anywhere near profitable.
If you create a machine that can turn a dollar into 5, you don't dillute ownership of the machine, you use your fabulous profits to expand production. Anthropic, on the other hand, raises money like crazy, and seems desperate to IPO.
It's one of several metrics and tries to estimate steady-state profitability. It's the only one being leaked because it's the most sensational one. But don't assume cash-flow profitability is negative just because you don't know it.
HN had long debates about whether AI inference could even be affordable from a compute perspective.
Which unfortunately probably hides the real truth. That large labs do have potential problems with long term profitability.
In your car example the training is much like setting up the manufacturing line.
I think the issue here is that the capex depreciates super fast since the models obsolete really fast.
Active competition requires constant reinvestment and does not allow them to milk their trained models long enough (except poor Haiku maybe).
"We are profitable when we ignore our costs".
I wonder what other funny strategy they may employ to claim 80% margins.
This is reportedly a sort of "Enron" accounting which excludes some really big expenses like revenue sharing, the cost of model training and hardware deploymments which are kept off the corporate balance sheet using "special finance vehicles".
https://www.msn.com/en-us/technology/artificial-intelligence...
source? this seems false. reportedly the adjusted profitability includes inference and amortized training costs
Listed at the end of my post.
this seems false.
Source showing this in accordance with GAAP (Generally Acceptable Accounting Practices)?
edit: def not gaap profitable or they would have said that to investors. and their stock-based comp is surely astronomically high on paper.
They'd be in their quiet period...
Yes the company known for famously training 1 model
If I am building a widget and have a widget factory that cost money to build and operate, is it reasonable to only use the cost of shipping my widgets to my buyer as the costs for my gross margin?
Just taking a wild guess, but I'd assume the .5 releases are built on the previous and the Majors (3, 4, 5) are more extensive retrains?
If the article is to be believed they aren’t including their training costs.
Also lol at reporting it as above 80% without accounting for the revenue sharing as well.
I bet anyone’s finances look great if you just start ignoring all the money they owe.
Lol and truth.
Anthropic is clear on what they are communicating. If every message had to be dumbed down to the level of the least attentive person to run across a message third hand, we could communicate and nothing but grunts.