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Re:Nvidia Unveils GeForce RTX 30 Series GPUs by hwillis on Tuesday September 01, 2020 @01:49PM (#24344564)
I'm fairly lay but imo GPT-3 demonstrates pretty soundly that huge models are no magic bullet- it's got >2x as many parameters as the human brain has neurons and it can't do long division. Dogs and other animals get by just fine having less than 1% as many neurons as humans.

Even a billion parameters is a huge model, and a factor of 2.4x increase is not going to make a tremendous difference in your performance. In particular the data-heavy nature of vision stuff means that you'll be bottlenecked by training more than memory, AFAIK (again, lay).

Re:Nvidia Unveils GeForce RTX 30 Series GPUs by i-am-curious on Tuesday September 01, 2020 @02:27PM (#24345068)
This is a misleading comparison. You are comparing a massive model with huge models. What you should be comparing are big models vs medium models that a single consumer GPU will fit. And - you don't need to take my word for it, there's tons of papers - the bigger models definitely perform better.
Re:Nvidia Unveils GeForce RTX 30 Series GPUs by benlivengood on Tuesday September 01, 2020 @03:19PM (#24345808)
The human brain has about 100 trillion synapses which is a closer analog to ML model parameters.
Re:Nvidia Unveils GeForce RTX 30 Series GPUs by junipertea on Tuesday September 01, 2020 @03:53PM (#24346255)
It can't do long division because it literally can't read the number inputs, due to the way text is encoded (BPE). That it manages to learn any sort of arithmetic despite that is pretty impressive to me.
Re:Nvidia Unveils GeForce RTX 30 Series GPUs by ipsum2 on Tuesday September 01, 2020 @02:59PM (#24345538)
Model parameters and biological neurons do not map 1:1.