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by ohdeardear
242 days ago
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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. |
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This is a huge assumption.