I'm dying to see S-1 filing for Anthropic or OpenAI. I don't actually think inference is as cheap as people say if you consider the total cost (hardware, energy, capex, etc)

1. the 80% margin from 2025 was theoretical,

2. they're relying on distillation/synthetic data for training,

3. and have been very opaque about cross-subsidization of R&D with their models.

The distillation alone adds a big asterisk for comparisons.

> But the numbers are available for companies like DeepSeek

You'd rather trust self-reported figures? LMAO

Huh?

The reddit summary comment makes no sense. How are they getting revenues without ads or paying customers?

"After" makes more sense.

FTA:

>The company has yet to show a profit and is searching for ways to make money to cover its high computing costs and infrastructure plans.