Their web-application is worth $200,000. The software of the training infrastructure is worth perhaps $2M; the inference infrastructure is worth perhaps $500,000. Their hardware is worth nothing in 3 years. Their B2B relations are worth perhaps $5M. The "data" they have is worth nothing in 5 years, because a sufficiently smart model will be able to learn without human feedback.They have no moat. So, how do you get to $4B?
I think the models are wrong way too often for relatively simple queries, so unless they give a secret prompt like "be wrong a lot in the free version" to users, it's basically worthless.
umanwizard|4 months ago
This is a huge assumption.
array_key_first|4 months ago
JamesBarney|4 months ago
handfuloflight|4 months ago
handfuloflight|4 months ago
bobxmax|4 months ago
[deleted]