According to the wayback machine, the change happened somewhere between Oct 7 and Oct 10. Interestingly there are no recorded snapshots on Oct 8 and Oct 9, perhaps the redesign caused a couple days of outage.
Haha hey lyc! I didn't forget, you guys were second family! You taught me a lot about maths and code, not sure where I'd be without you :) Learnt more while messing around with fractals and gfx than in all my time at uni.
Honestly I try not doing much computer stuff in my free time because I'm doing so much in my day to day but I'll stop by some time! I've been in the Chaotica discord for years but never said hello.
That's kind of you to say, and I'd love to meet up sometime just for the lolz, it's really far too close (with lots of other cool fractal ppl nearby) not to :)
Do you remember the email you sent me 12 years and 1 month ago, in which (among much other unhinged stuff) you called me a nazi because I mentioned I'm (part) German? I remembered your name; hello again! I see your project didn't go anywhere, that's too bad. I'm sure you'll understand if I decline to invite you to my Discord server :)
Did the switch to NixOS a few months ago on my Thinkpad and ChatGPT worked wonders. I'm not very experienced with Linux distros and have been an Ubuntu user for a long time. I don't think I'll be switching away from NixOS anytime soon, it's great.
The learning curve is still extremely steep but after the initial 10 hours of googling it just all falls into place.
At some time in the video he's casually played a groove on the piano to back the birds for a couple of second, then stopped ("Wait, what am I doing") :)
You can also see his modular setup in the background.
I didn't know of him until today. Instantly, a new inspiration.
Except making employers do only easy things will make them stagnate. People who do nothing but simple CRUD apps over and over won't even be particularly good at making CRUD apps... whereas the guy who builds an Unicode font renderer in his free time always seems to write better code for some reason.
Getting better at your job is not just a "personal want" but very much something that the employer appreciates aswell.
Of course reinventing the wheel isn't good in corporate because the reinvented wheel is buggier than the ready made npm package but employers should go out of their way to find hard problems to solve that they can pass to their employees. It's called a growth opportunity.
You can’t convince an employer with that attitude. They’re gonna keep exploiting their employees and “encourage” them to do their “personal development” in their free time.
Unless you work for enterprise consulting where employers appreciate replaceable cogs that they randomly drop into any project, and nicely out project budget regardless of delivery quality.
I probably spend 30% of time on refactoring. Deduplicating common things different people have done, adding seperating layers between old shitty code and the fancy new abstractions, adding friction to some areas to discourage crossing module boundaries, that sort of thing.
For some reason new devs keep telling me how easy it is to implement features.
Really wonder why that is. The managers keep telling me that refactoring is a nice-to-have thing and not necessary and maybe we have time next sprint.
You just have to do it without telling anyone, it improves velocity for everyone. It's architecture work on the small scale.
I totally just verbalize my inner monologue, swearing and everything. Sometimes I just type "weeeeeeeelllllll" and send it, to get more LLM output or to have it provide alternatives.
It might sound weird but I try to make the LLM comfortable. Because I find you get worse results when you point out mistake after mistake and it goes into apologetic mode. Also because being nice puts me in a better mood and it makes my own programming better.
I think you're supposed to let the AI write the bad python code and then do the refactoring yourself. No way I'm letting the AI make changes to 150 files with tons of cross-concerns when I don't even fully understand it all myself unless I dig into the code.
That being said copilot and chatgpt have been a 40% productivity boost at least. I just write types that are as tightly fitting as possible, and segregate code based on what side effects are going to happen, stub a few function heads and let the LLM fill in the gaps. I'm so much faster at coding than I was 2-3 years ago. It's like I'm designing the codebase more than writing it.
Chess is not exactly a simple logic task. It requires you to keep track of 32 things in a 2d space.
I remember being extremely surprised when I could ask GPT3 to rotate a 3d model of a car in it's head and ask it about what I would see when sitting inside, or which doors would refuse to open because they're in contact with the ground.
It really depends on how much you want to shift the goalposts on what constitutes "simple".
Compare to what a software engineer is able to do, it is very much a simple logic task. Or the average person having a non-trivial job. Or a beehive organizing its existence, from its amino acids up to hive organization. All those things are magnitudes harder than chess.
> I remember being extremely surprised when I could ask GPT3 to rotate a 3d model of a car in it's head and ask it about what I would see when sitting inside, or which doors would refuse to open because they're in contact with the ground.
It's not reasoning its way there. Somebody asked something similar some time in the corpus and that corpus also contained the answers. That's why it can answer. After a quite small number of moves, the chess board it unique and you can't fake it. You need to think ahead. A task which computers are traditionally very good at. Even trained chess players are. That LLMs are not goes to show that they are very far from AGI.
