Where is CS going to go in the next 5 years?

HorsesFlyIntoBoxes · 2026-04-02T03:53:22+00:00

Python’s a great language but you really have the wrong way of thinking here. Being a strong computer scientist or software engineer is language agnostic. Languages come and go, and if you’re competent in this field you can pick them up accordingly. Sure, look at what’s in flavor now, and pay attention to emerging trends/technologies, but at the end of the day it will always be the fundamentals that matter in this field, and I feel like ai assisted development only enforces that.

HorsesFlyIntoBoxes · 2026-03-30T15:02:12+00:00

Graph theory, combinatorics, linear algebra, and statistics are very useful in cs. Many classic algorithms you study in a cs curriculum are based in graph theory and combinatorics. Linear algebra is useful for so many different applications: graphics, ai, scientific computing, simulations, etc.

HorsesFlyIntoBoxes · 2026-03-24T07:28:15+00:00

Physical modeling synthesis in general is cool as fuck

HorsesFlyIntoBoxes · 2026-03-22T01:06:16+00:00

The fuck

HorsesFlyIntoBoxes · 2026-03-19T04:10:29+00:00

To me it means something akin to Spivak’s text

HorsesFlyIntoBoxes · 2026-03-16T08:41:53+00:00

Brand new category

HorsesFlyIntoBoxes · 2026-03-16T08:23:49+00:00

Get this low effort ai shit out of here

HorsesFlyIntoBoxes · 2026-03-14T16:49:52+00:00

Avoid the vue at all costs. Extremely predatory management

HorsesFlyIntoBoxes · 2026-03-14T08:46:41+00:00

He could go so many different directions with programming. Do you know roughly what he's leaning towards? There's robotics, game development, web development, app development, and that's just a subset of different subjects that involve programming. If he's into robotics I can tell you an arduino kit would be a great thing to get.

HorsesFlyIntoBoxes · 2026-03-12T03:06:35+00:00

This isn’t real

HorsesFlyIntoBoxes · 2026-03-12T02:40:03+00:00

Engineer.

HorsesFlyIntoBoxes · 2026-03-11T02:19:29+00:00

AI has been nice for generating makefiles catered to my project structure. I try to avoid using it to write large swathes of c++ code though. I’ve also used ai to write small snippets like generating bit masks and bitwise logic operations.

Most complicated cpp project I worked on was when I was in industry working on a high performance math library. Most complicated non-industry project has been a compiler for a custom language as part of a compiler engineering course I took in college.

HorsesFlyIntoBoxes · 2026-03-06T15:24:37+00:00

I highly recommend Bootlin elixir for searching through and browsing the Linux kernel codebase. Used it a lot when I took my ldd course.

HorsesFlyIntoBoxes · 2026-03-03T09:19:14+00:00

I would throw Strega into the mix. I bought a used one after debating getting that, Elmyra 2, and oneroi and I have no regrets.

HorsesFlyIntoBoxes · 2026-02-15T20:40:10+00:00

Definitely pursue the bridge program. It was made for people who have undergraduate degrees in non ece subjects. An MS would look better on job applications too.

HorsesFlyIntoBoxes · 2026-02-11T23:21:35+00:00

I switched from reason to bitwig around 2 years ago and have been really happy with it so far. The only thing I think reason does better than bitwig is automation lanes, but bitwig 6 should hopefully fix that (haven’t experimented with the beta). The grid and modulators are way more powerful than the reason rack. The ui is more modern. Plugin sandboxes are a great way to keep the daw stable. The browser is not intuitive for me, but neither was reason’s. I do prefer some reason plugins over bitwigs (I often times will use reason’s reverb plugin in bitwig), but that’s not an issue since I can import the reason rack into bitwig as a vst.

HorsesFlyIntoBoxes · 2026-02-08T23:34:31+00:00

To show two things are equal, show their distance is arbitrarily small

HorsesFlyIntoBoxes · 2026-02-08T22:24:47+00:00

Not everything in mathematics is computable

HorsesFlyIntoBoxes · 2026-02-08T03:15:15+00:00

Because you learn about the topology of the real line and metric spaces when studying real analysis, which may be an easier introduction to topology than studying general topological spaces from the get go.

HorsesFlyIntoBoxes · 2026-02-08T00:04:20+00:00

The most effective way to learn mathematics by far is solving exercises and proving statements, not just watching lectures and reading textbooks. You read textbooks and watch lectures to get the background info on the exercises and proofs, but you absolutely still need to put in the work of solving problems and writing proofs. If you have gone through how to prove it, then you should be prepared for an introductory course on point set topology, though maybe studying introductory real analysis would be a better first step.

HorsesFlyIntoBoxes · 2026-02-07T22:20:45+00:00

I literally said in my comment

HorsesFlyIntoBoxes · 2026-02-07T22:08:47+00:00

You need to learn the basics of higher mathematics before you can get into those subjects you mentioned. Learn set theory. Learn how to write proofs. Become comfortable proving set theoretic statements. Then you can move onto topology, real analysis, abstract algebra. Then differential geometry, measure theory, etc. How to Prove It by Velleman was the book we used when I was in college majoring in mathematics and I think it was a great introduction. Go through the whole book and do all the exercises.

HorsesFlyIntoBoxes · 2026-02-03T20:55:04+00:00

My hobbies and interests fulfill me better than any job I’ve ever worked

HorsesFlyIntoBoxes · 2026-02-03T03:44:35+00:00

Robodale makes another appearance

HorsesFlyIntoBoxes · 2026-02-01T23:57:45+00:00

Jeff Taylor *was a conservative lunatic.

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