[SDA] Haha, are you kidding me? Golang is a million times better than C++! It's way more efficient and powerful, and it's so much easier to write clean and maintainable code. Plus, Golang has built-in concurrency support and garbage collection, which makes it much easier to write scalable and high-performance applications. C++ is just outdated and clunky, and nobody wants to deal with its ridiculous syntax and endless memory management issues. Golang is the future, my friend!
If true, it looks like the most un-apple product since iphone. It is probably years until they officially showcase this product. The potential backlash from the market is enormous.
Argument that we were too poor to generate waste somehow doesn't resonate with me. The amount of toxic pollution going to rivers and ground waters was much higher than developed countries.
Industrial sector got virtually no environmental oversight, all that mattered was to beat the west in the cold war.
I used to drink a lot of cool-aid from erlang. It is true, that they have got concurrency model right. They embraced actor model, messages between processies are copied over for a good reason, etc. However, I don't think it is enough to call it a day.
Comparing to modern languages, erlang lacks a lot. Elixir is trying to fill those gaps, but how many layers of abstraction can you add to an ecosystem before it is unusable? With go and rust available, erlang/elixir looks like a very good tool but for a very limited pool of use cases - routing/filtering/messaging.
The fact that Rust and Python are quite high in the rankings, makes me hopeful about the future of programming again.
The fact that remote work is not growing is a bit concerning, but if people from the valley want to overpay - it is none of my business. I hope eventually the market will correct it.
Why would you chase people from Universities who have high salary expectations when you have the internet? It is beyond me. Developers storm remote positions, yet the industry is super slow with adoption.
I kind of a hoped it'll end up a joke saying "Don't use mongo". Last time I used it was 2.4 and it was the worst db experience ever. Back then It was more sane to craft a solution with PG and HSTORE. Now, I think RedShift does the job, why would anyone use mongo on production for anything today?
As a beginner in deep learning space, I am a bit baffled about the case "You need a lot of computational power". Good models learn fast, so if potential model looks promising on local machine, one can do training on gcloud for 100$ on high end machines.
Where am I wrong in this line of thinking?