lukasLansky
Joined 14 years ago
Joined 14 years ago
* GPT-3 is conceptually simple: the effort to invent it and engineer it amortizes well.
* Once the model is trained, it can be reused to very different tasks.
* Querying doesn't require programming knowledge.
Let me close my argument: neural network techniques developed in the last ten years are super useful here and now, they are used by billions of people every day and they do make their lives easier.
If https://en.m.wikipedia.org/wiki/Google_Translate does not seem like having business value to you, then I don't understand what you mean by "business value".
https://slatestarcodex.com/2014/07/30/meditations-on-moloch/
"With containers, you are responsible for figuring out which ones need which packages and how to re-build them."
Yeah, you need to know how to rebuild your world in ANY CASE. It's not an argument against containers that they require an approach that is the best practice.
The value of every corporation primarily reflects expectation of future profits. That's the reason P/E ratios differs a lot even for established companies.