I got about two sentences further, it turns out another smoking gun is Mr. Back using c++ in his graduate studies, just like the original bitcoin implementation.
You may not be able to think of a worse experience, but a lot of "newer" programmers may not even know what an LSP is. While it's true that I no longer need to rely on some of the benefits of Jetbrains, when I was getting started jetbrains paving over toolchain difficulties was invaluable.
Assuming that the plugin is enabled for the free version, CLion is also amazing for Rust. Thanks Jetbrains!
Here's hoping this won't be abused by smaller companies that will no longer want to pay for the actual subscription. I also wonder if they are moving towards a different funding model, since the IDE space is pretty competitive with a free alternative (VSCode) out there.
Good article. Funnily enough the throw away line "I don't see parentheses anymore". Is my greatest deterrent with lisp. It's not the parens persay, it's the fact that I'm used to reading up to down and left to right. Lisp without something like the clojure macro ->, means that I am reading from right to left, bottom to top - from inside out.
If i programmed enough in lisp I think my brain would adjust to this, but it's almost like I can't full appreciate the language because it reads in the "wrong order".
By definition if I knew how AI would change the world, I would invest/build things to that end. The fact that we still don't have a great AI product outside of chatgpt, shows that no one knows what will happen.
My great-grandmother and grandfather were in Leningrad during the siege. My great-grandmother continued to teach throughout. At some point she was given the option to evacuate with my (very) young grandfather over the "road of life".
As my mother tells the story, my great grandmother had the choice of either taking a bus, or hanging on to the back of some delivery truck. She chose the truck. The bus broke through the ice and disappeared under the water.
It's strange to realize how close one can be to not being "here" and how history weaves its way through your blood and ends up on the front page of hackernews.
Humans tend to like to stay at there they are, in the tech context especially. It takes a long time relative to the length of a career to learn new systems, make new connections, and achieve some level of independence at a new job. There's also relatively few jobs that at least pretend to be somewhat beneficial to the world while paying somewhat competitive salaries (I can't think of any that I've worked at). Then there's relationships you may have developed with your colleagues.
Finally, if everyone just leaves their jobs without trying to improve them, won't everyone run out of places to jump to eventually?
I did a research project on this a while back - and when it comes to understanding deep network learning rate, regularization, hidden layer effects, and activations, I don't think anything is better than [this little web app](https://playground.tensorflow.org/#activation=tanh&batchSize...)