> I've been asking myself that for a while. Would they be so popular if they didn't host & serve petabytes of model files for free? How will they monetize that aspect to match this valuation?
From what I gather it's mainly hosting with some maintaining of a few libraries, but then I recently starting to see they are offering lots of classes via DeepLearning platform; these lat couple of months as an AI student I've been asked to enroll into classes (temporarily for free) to assess where they are, here is the most recent example [0].
To what end, I'm not entirely sure, but I guess it's to get an overall pulse on what can be monetized and take it from there? I really think that this a low number compraed to where we were in the last few years, but ti also shows how little investment actually exists in the AI and ML space: consider that Git got bought by M$ for 7.5B and then tried cash in on it by releasing Co-Pilot and then got into legal issues as a result and then tried it's hand with Open AI and $10B.
This is starting to seem like a reversion to the mean, and AI's promise was always to lower the cost to everything it can, but I think one of the harder pills to swallow is that the traditional VC model is not really being supported after all the hype and losses.
Personally speaking, I'm thinking of moving on to Cyber Security after my finals this semester; I come from Bitcoin and the hype cycles there are something I was looking to get away from after nearly 13 years in that side of fintech.
From what I gather it's mainly hosting with some maintaining of a few libraries, but then I recently starting to see they are offering lots of classes via DeepLearning platform; these lat couple of months as an AI student I've been asked to enroll into classes (temporarily for free) to assess where they are, here is the most recent example [0].
To what end, I'm not entirely sure, but I guess it's to get an overall pulse on what can be monetized and take it from there? I really think that this a low number compraed to where we were in the last few years, but ti also shows how little investment actually exists in the AI and ML space: consider that Git got bought by M$ for 7.5B and then tried cash in on it by releasing Co-Pilot and then got into legal issues as a result and then tried it's hand with Open AI and $10B.
This is starting to seem like a reversion to the mean, and AI's promise was always to lower the cost to everything it can, but I think one of the harder pills to swallow is that the traditional VC model is not really being supported after all the hype and losses.
Personally speaking, I'm thinking of moving on to Cyber Security after my finals this semester; I come from Bitcoin and the hype cycles there are something I was looking to get away from after nearly 13 years in that side of fintech.
0: https://www.deeplearning.ai/short-courses/