KRAW

joined 3 years ago
[–] KRAW@linux.community 1 points 38 minutes ago

The best way to "stand up for yourself" when a company that sells a luxury product is to not buy said product. In which case this tariff nonsense doesn't affect you. More people were affect by the increase in the cost of groceries and gas than the cost of a Switch 2.

[–] KRAW@linux.community 27 points 1 day ago (5 children)

IMO I think it's weird to focus specifically on Nintendo. The American government basically screwed over its populace and a ton of foreign companies (less sympathy for the former though). I don't think it's realistic to expect these companies to reimburse companies, because logistically it'd be a nightmare. The only way I can imagine consumers getting their money back is if the government used the tarrif money to pay a portion of the federal income tax for its citizens, ideally the lower tax vracket. Unfortunately that won't happen.

[–] KRAW@linux.community 17 points 2 weeks ago

"operating at a loss" =/= "low revenue"

[–] KRAW@linux.community 6 points 1 month ago

I tried the same user, and it worked for me just now. Thanks for working on this project!

[–] KRAW@linux.community 21 points 1 month ago* (last edited 1 month ago) (9 children)

Just fyi, I tried one your instance. Searched a user, clicked a result, and got an error.

Error

./app.lua:134: attempt to concatenate field 'username' (a nil value)

Traceback

stack traceback:
	./app.lua:134: in function 'handler'
	...ittygram/lua_modules/share/lua/5.1/lapis/application.lua:185: in function 'resolve'
	...ittygram/lua_modules/share/lua/5.1/lapis/application.lua:216: in function <...ittygram/lua_modules/share/lua/5.1/lapis/application.lua:214>
	[C]: in function 'xpcall'
	...ittygram/lua_modules/share/lua/5.1/lapis/application.lua:214: in function 'dispatch'
	/apps/kittygram/lua_modules/share/lua/5.1/lapis/nginx.lua:231: in function 'serve'
	content_by_lua(nginx.conf.compiled:92):2: in main chunk
[–] KRAW@linux.community 2 points 1 month ago

Improved hardware capabilities used to come very quickly (see Moore's Law and Dennard Scaling). However that trend is basically over, so getting higher performance hardware takes a lot of effort to make hardware specialized for certain tasks. That's why you see there inference accelerators like Groq, SambaNova, Cerebrus, etc. However this is hardware that still is gonna go into data centers. Something innovative has to happen on the AI side for commercial-grade models to be runnable on consumer hardware.

[–] KRAW@linux.community 5 points 8 months ago

You got a source for that last sentence? I'm inclined to degree, but I'd love to see a a concrete explanation proving it.

[–] KRAW@linux.community 2 points 10 months ago (1 children)

I guess your battery isn't overheating?