Recent comments in /f/MachineLearning

Azmisov t1_j7n2491 wrote

Reply to Wouldn’t it be a good idea to bring a more energy efficient language into the ML world to reduce the insane costs a bit?[D] by thedarklord176

No. All the energy intensive computations occur on dedicated hardware like GPU/TPU. These run a compiled instruction set that would not benefit from using a different language frontend. You have to tackle energy efficiency at the hardware level, and in this respect, the number of flops/watt has steadily gone up over the years. The ML tasks always grow to fill the extra computational efficiency though. At this point, progress in ML is the fruit of increased energy efficiency, not energy cost.

2

hemphock t1_j7mtsvp wrote

Reply to comment by mirrorcoloured in [N] Google: An Important Next Step On Our AI Journey by EducationalCicada

yeah it's been like that for years. idk reddit is just a well moderated website with lots of small communities around a lot of topics. i think the lifecycle of its communities is the secret sauce. communities will peak and then get crappy (pretty reliably imo) but you can just leave and join new ones.

i dont think the 70% is a good sample though. its a poll of user responses to androidauthority.com

1

FLQuant t1_j7mobsc wrote

Reply to [D] Yann Lecun seems to be very petty against ChatGPT by supersoldierboy94

The technical name is butt hurt.

Yeah, he has some important and relevant points, butknow he spent his whole day on Twitter complaining about ChatGPT.

Most of the complaints are that it isn't the first, the most advanced nor the best. I find it very curious coming from some who works at Meta since this kind of critic work for almost all Meta products.

1

PassingTumbleweed t1_j7mlwls wrote

Reply to comment by _Arsenie_Boca_ in [D] Papers that inject embeddings into LMs by _Arsenie_Boca_

I'm not aware of any comparison. Maybe it doesn't matter that much?

PaLI feeds embeddings from the Vision Transformer to the LM after a linear projection layer. It allows back propagation through ViTs weights so that the image encoding can be learned for the task. The ability to tune the embeddings in end-to-end fashion might be an important consideration.

3

FoveatedRendering t1_j7mlqeu wrote

Reply to comment by trias10 in [N] Getty Images sues AI art generator Stable Diffusion in the US for copyright infringement by Wiskkey

If it's so enjoyable, all the more reason to automate it to get a lot more and increasingly better art.

Everyone enjoys art, 0.0001% can make it. AI will make the 99.9999% of people who enjoy art have more options and give superpowers to the previous 0.0001%(and any creator) to make more art.

1