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Joined 8 years ago
Joined 8 years ago
A bit speculative reply but would appreciate if anybody links any such analysis'/investigations.
From my limited knowledge, I know people have been shorting Tesla based on fundamentals for a while now but haven't been successful.
We are able to cleanly separate facts from non-facts (for the most part). This is what LLM are trying to replicate now.
Just think of the speciality in which you aren't an expert, javascript/storage/networking ...
This is not true at all. I have never worked on games and it will take me quite a while (even months) to write a "basic" game. While I know a lot of good practices about software development and decade+ of FAANG experience, I don't know the intricacies or even the basics of game development.
I recently experienced this for a different usecase. As an experienced backend developer, I wanted to automate some javascript/browser stuff. I tried on my own for 2-3 days and had couple of prototypes but nothing actually worked. I spent 2 hours with an AI and I had a working solution. We even iterated together quickly and solved some runtime issues and the solution is working for me seamlessly now.
So, I definitely see value of AI even for coding for experienced developers like myself.
This seems pretty undesirable. Very easy for Airbnb/third party to increase prices even without demand just to increase their prices.
We recently saw a similar price fixing lawsuit for renters. Landlords, co-ordinating together, ended up increasing prices of Condos across major American cities (via means of a third party). The consumer ends up paying unnecessarily high prices in an inelastic market.
Being technically right for an aspect that doesn't matter is a common trope that a lot of software engineers fall for.