klankin
@klankin@piefed.ca
- Comment on 1 week ago:
I’m not at all experienced this stuff so sorry if this is obvious - but how is that different from hardware?
Its not like valve is reimbursing cash for the hardware after bought, theyre both just some materials (that can be sold elsewhere for cash) right?
- Comment on 1 week ago:
Dont the cards have value?
- Comment on systemd 3 weeks ago:
Well yeah how am I supposed to fit systemd on a milkv duo of ram? My gen z brain can only handle compiling a kernel to minimize its footprint, hardly even scraping the surface of linux experience.
(Non sarcastically though, why would anyone under 30 not know about systemd? Sure mainstream OS’ have more users than ever, but thats cause the world is techier than ever - growing up with fiber makes getting distro and tutorials trivial. I theorise youre getting pulled into the boomer mindset of “this person online does this so is an accurate representation of an entire generation”, which is kinda foolish.)
(PPS I know some gen z’s who dont even know what a file or folder is, so I’m not saying everyone is techy, but just that is almost statistically gaurenreed some people will be with a gen z population of almost billion people).
(PPPS, yeah Im talking about the 64mb milkv duo. No its not fun. But fuck is it informative.)
- Comment on Amazon started hiding ratings for some products 1 month ago:
A/B testing, dont worry you’ll get it son enough.
- Comment on Could a diffusion image model be used to "bake" slow operations like erosion to make them realtime? 3 months ago:
We dont yet have proof AI can “imagine” new things, just interpolates between existing. For complex relationships such as realistic fluid/particle dynamics it also requires billions of inputs before approximating reasonable outputs - so the cost to potentially nonexistent ROI timeline just doesnt add up. Its made even worse if youre already simulating billions of viable simulations, just to generate thousands.
This is why most modern techbro AI requires massive internet piracy, without already having the training data readily available (but not efficiently simulated) the algorithms arent worth much.
Tangentially this is why such algorithms have many applications in the medical field, they generally have access to a large dataset of human annotated diagnosis that can’t readily be created by a computer.