To your first question, nop, I have no idea how much energy takes to index the web in a traditional way (e.g MapReduce). But I think, in recent years, it’s been pretty clear that training AI consumes more energy (so much that big corpo are investing in nuclear energy, I think there was an article about companies giving up meeting 2030 [or 2050?] carbon emission goals, couldn’t find it)
About the second… I agree with you, but I also think that the problem is much bigger and complex than that.
Sorry, you’re right. I meant the training of the LLM is what uses lots of energy, I guess that’s not end user’s fault.
won’t ruin your career
Granted, but it still will suck a fuck ton of coal produced electricity.
Original frame （＾ν＾）
We gotta raise the bar, so they keep struggling to make it “better”
My attempt
0000000000000000
0000011111000000
0000111111111000
0000111111100000
0001111111111000
0001111111111100
0001111111111000
0000011111110000
0000111111000000
0001111111100000
0001111111100000
0001111111100000
0001111111100000
0000111111000000
0000011110000000
0000011110000000
Btw, I refuse to give my money to AI bros, so I don’t have the “latest and greatest”
I think I do. Might be an illusion, though.
Got ‘em!
I think you’re missing the point, woman stands for woke open-minded man
I FOUND YOU
~Just~ ~kidding~
cross-posted from: https://ani.social/post/5034248
Squares [3840x2160]
Hello there!
I’ve made those with Apple Keynote, so I felt like sharing them here. If you’d like me to export in another resolution, please feel free to ask :)
Uploaded:
I took this wallpaper as base (I couldn’t find the original author tho)
Hello there!
I’ve made those with Apple Keynote, so I felt like sharing them here. If you’d like me to export it in another resolution, please feel free to ask :)
I took this wallpaper as base (I couldn’t find the original author tho)
Can you split a uranium-235 atom in your head?