I let them ripe for 10 years so I can then concentrate on older bugs.
Kissaki
joined 1 year ago
The actual website: https://gamefromscratch.com/game-ui-database-2-0/
Doesn't actually load for me though…
What do you mean by professional?
Be paid, even if really bad, and a net negative for the projects and companies you're involved with? Then it's certainly possible.
Study, get a bachelors degree
That's not 6 months though
The Roast my profile in question.
Your 105 repos resemble a crowded yard sale, filled with half-baked ideas and a couple of dusty gems.
lol
That's so sweet, I love it!
it's amazing to see the breadth of projects you've worked on and shared with the world!
😊
It’s been shown that AI isn’t at a level where using it for anything isn’t beneficial, in fact it’s the contrary.
Maybe you're thinking of something more specific than me, but I don't think that's the case. What is being called AI is a broad field.
I think what Opus was able to implement for high packet-loss voice transmission is exceptional.
I also find Visual Studio in-line-inline-completions to be very useful.
That's far from the typical Chatbots and whatnot though. Which often suck.
At work, we recently talked about AI. One use case mentioned (by an AI consulting firm, not us or actually suggested for us) was meeting summaries and extracting TODOs from them.
My stance is that AI could be useful for summaries about topics so you can see what topics were being talked about. But I would never trust it with extracting the or all significant points, TODOs, or agreements. You still need humans to do that, and have explicit agreement and confirmation of the list in or after the meeting.
It can also help to transcribe meetings. It could even translate them. Those things can be useful. But summarization should never be considered factual extraction of the significant points. Especially in a business context, or anything else where you actually care about being able to trust information.
I wouldn't [fully] trust it with transforming facts either. It can work where you can spot inaccuracies (long text, lots of context), or where you don't care about them.
Natural language instructions to machine instructions? I'd certainly be careful with that, and want to both contextualize and test-confirm it works well enough for the use case and context.
A competing product.
I'm glad I work on software that has value, where I control the entire ecosystem, and where my contributions are significant.
That's quite bashful