The local inference is a product that came out of the data-center-driven AI.
Incorrect. As others have pointed out, BirdNet is a “traditional” neural network. The amount of compute needed to train something like this is many orders of magnitude less than an LLM. Something like this could be trained on local hardware with enough juice, or by renting a handful of GPU’s
What a shame that we get a bird ckassifier by the samle technology we use to recognize cancer and other illnesses.
> came out of the data-center-driven
should we tell them how hacker news gets onto their computer?
This is incorrect; the local model is a small dense neural network called BirdNET that would not have been referred to "AI" when it was published in 2021. The model outputs a bird species probability distribution and the web application displays an existing image file of the most probable bird on the screen. This is a lovely example of simple, offline, and fun project using a straightforward machine learning model.