Krei-se
Joined 2 years ago
Joined 2 years ago
You can google stuff to learn without the need to build a search engine too.
I have however learned a lot about math! And other related stuff. I'd argue if you extend your low level skills in math and code when the need for an AI comes up, simple weather / sales forecast, who knows, you'll have an easier time building one.
It was slow but allowed some text based games we then shared. No internet so did it all from trial and error.
Then ... i wanted a 3D Cube rotating. At 15/16 this was a bit too much i guess i had no idea about rotation matrices back then and deemed myself a bit dense.
Never got around doing 3D stuff at work, only databases all the time. I dabbled some with ThreeJS but i guess i was still haunted.
BUT THEN. Geometric algebra! So smooth. If you like tables and had problems with stuff like cross products or quaternions, didnt like copy pasting rotation matrices, etc. YOU WILL LOVE geometric algebra! It's like you meet 2 tables on a FK and bam its a volume (highly simplified!!)
Just my 2 cents. Don't write yourself off if you did not do 1337 demos in primary school on a tamagotchi.
- You need to have a mental model to grow an idea
- When a pattern is known you can use a library!
- When a pattern is not known AI will make stuff up
No matter how "good" coding with an AI will become there is no way you get around learning, having someone understand what's going on and take responsibility.
I'm fine with formal checking and fuzzing or getting hints where a bug might come from - but these are iterations on tools we used before like a debugger, strict types, functional programming and well fuzzing.
I tried to have an AI iterate on a step i don't fully understand yet and i always regretted it. Highly interconnected projects will grind to a halt until you do learn.
You can check with people doing highly specced software in the medical domain that even with very good specs there is ambiguity in natural language thus it can never be the source of reliable and manageable software.
However - i read about some smart guys in the 40s or so encountering the need for a formal language to tell a computer what to do with 0 ambiguity and i think they called it a "programming language"
Also to pick up your conflict - when there are 2 possible outcomes you don't know yet - planning for the worst will have you lose either way, but planning for a good one (not best as this would mean to do nothing) leaves you with a positive chance.
So while it's true that the current jobs some people do will go away the total variety of jobs will continue to grow.
If you leave a working class citizen alone with a secure income he will educate himself or go with arts, we simply cheat him out of the possibility to discover his unique potential.
I'm looking forward to robotics a lot because solving menial tasks will have a huge class impact as we can stop looking for ways to keep a portion of society suppressed and dumb.
One can dream, right?
This is more about beehaiviour research and playing with your balls, but the basic idea seems to be that even "small" brains do the same stuff the big brains do - like forming relationships, playing for fun, using tools, etc.
It just works and that's great.
You can wonder why the font gets all wonky or why the Help center link returns an error.
But all that won't matter because STARTUP and AI ;)
I'm not involved with proofs in math a lot but having a computer help with formalizing large parts of software so they end up more secure is a plus imo.
When you can start doing A₁₂ ⟨M⟩₃† (complete made up nonsense) in your code or just comments without going latex etc it comes more naturally as you wont have to switch context so often.
https://github.com/krei-se https://mastodon.social/@kreise
meet.hn/city/50.8485459,12.9237159/Chemnitz
Socials:
- instagram.com/richardvonkreise
- https://krei.se
Interests: Freelancing, Hardware, Networking, Open Source, Outdoor Activities, Philosophy, Programming, Remote Work
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