The way I do this is decide which language I like (just by gut feel) and then come up with reasons why it is good / better than others. I think almost everyone does the same thing, really.
But you can learn about yourself and others by writing down specifically the things you like and don’t like, and reading other people doing the same. With the possibility of liking different things for different reasons in the future. Or just better understanding how to best use the tools you like.
I think it is proving yo be the case that there isn't much stickiness in your chat provider. OpenAI thought memory might bring that but honestly it can be annoying when random things from earlier chats pollute the current one.
In addition to the search tools mentioned above, feel free to use https://nthesis.ai/public/hn-who-is-hiring. You can search and chat with the posts on this page. Hope it helps!
They certainly can emit NOx. The common technology used today to reduce this is called Dry Low Emissions (DLE - https://en.wikipedia.org/wiki/Dry_low_emission). Emissions can be very low if done correctly.
When you shout "use AI or else!" from a megaphone, don't expect everyone to interpret it perfectly. Especially when you didn't actually understand what you were saying in the first place.
I used this for a long time and still do sometimes. However, Arch works well enough now that I don't need to bother with Windows anymore. It is much more efficient for working with containers as there is no VM involved.
True. Choosing between the two languages usually comes down to their library ecosystems - or more bluntly, to Rails on one hand vs NumPy on the other.
Nonetheless, it's still common for people to talk about the relative performance of the two languages, and to claim that Ruby is slower than Python. As someone who's actually tested this, it hasn't been true for 15 years.
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