17 points DeepLogin 3 days ago 5 comments
esperent 18 minutes ago | parent
You have to read about half of the article before it mentions this, which should have been in the first paragraph:
> The researchers found the energy and accuracy disparity by measuring the amount of energy used by three open-source AI models, Alibaba’s Qwen 3, Google’s Gemma 3, and Meta’s Llama 3.1.
fxwin 2 minutes ago | parent
I feel like that info is placed appropriately. The abstract mentions that energy disparity persists across models, the rest follows the standard Intro -> Related Work -> Experiments structure
pridy 11 minutes ago | parent
Does AI process maybe in English?
macrolime 8 minutes ago | parent
Google AI overviews refusing to answer in English unless explicitly instructed with "Answer in English only" is pretty annoying.
PhilipRoman 5 minutes ago | parent
I didn't read the full PDF, but at least in the linked article, I think the number of native speakers as a metric penalizes English (and French), making them look more efficient in the graphs. There are about 3x more non-native speakers than native, and vast amounts of training material has been written by them.