Earlier quoted context omitted.
Governments are reasonably good at controlling humans.
Yes, Governments have a monopoly on violence.
Training for one trillion parameter model backed by Intel and US govt has begun
101–110 of 267 posts
Re: Training for one trillion parameter model backed by Intel and US govt has begun
#102I'm sure the government's mission is also to develop an AGI that benefits us all.
This is a particular interesting part of American culture: The sentiment is that it is problematic when the government develops these technologies, but it is completely OK to let private entities develop them.
There are many private entities, although often not benevolent, most still have space for the benefit of doubt. OpenAI, DeepMind or Anthropic haven't done anything that compares to, say, MKUltra or lying about Iraqi WMDs to start decade long wars.
Re: Training for one trillion parameter model backed by Intel and US govt has begun
#103Earlier quoted context omitted.
Ideally no one person or entity controls such a thing. But, would I rather have a Government, or a corporation control AGI? If I had to pick one of two evils, the Government would be the lesser of the two.
Governments have killed more people than any other institution. Corporations have largely made our lives better.
The company was only nationalised in 1858 and until then effectively colonised india until then
Re: Training for one trillion parameter model backed by Intel and US govt has begun
#104Earlier quoted context omitted.
Ideally no one person or entity controls such a thing. But, would I rather have a Government, or a corporation control AGI? If I had to pick one of two evils, the Government would be the lesser of the two.
Governments have killed more people than any other institution. Corporations have largely made our lives better.
Re: Training for one trillion parameter model backed by Intel and US govt has begun
#105Earlier quoted context omitted.
Was thinking the same, so 1T might bring you to the league of GPT-4. Actually in the best case, since it seems that meta, google, openai and so on have the most talent. Anyway, to bring it to the next level, how big should it be? Maybe 10T? 100T?
> Maybe 10T? 100T? I don't think we have enough training data to train models so big in a way to efficiently use all the params. We would need to generate training data, but then I don't know how effective it would be.
Re: Training for one trillion parameter model backed by Intel and US govt has begun
#106I'm sure the government's mission is also to develop an AGI that benefits us all.
This is a particular interesting part of American culture: The sentiment is that it is problematic when the government develops these technologies, but it is completely OK to let private entities develop them.
Re: Training for one trillion parameter model backed by Intel and US govt has begun
#107Earlier quoted context omitted.
Ideally no one person or entity controls such a thing. But, would I rather have a Government, or a corporation control AGI? If I had to pick one of two evils, the Government would be the lesser of the two.
Governments have killed more people than any other institution. Corporations have largely made our lives better.
Both governments and corporations kill people (look up annual tobacco deaths, for just one fun example).
Re: Training for one trillion parameter model backed by Intel and US govt has begun
#108I'm sure the government's mission is also to develop an AGI that benefits us all.
I am not too keen on the US Government being in command of an AGI, but there is only one other entity capable of developing an AGI before the US Government. And I'm less keen on it being the one to control it.
Microsoft?
Re: Training for one trillion parameter model backed by Intel and US govt has begun
#109Earlier quoted context omitted.
Yeah I'm not totally convinced humans don't have a tremendous amount of training data - interacting with the world for years with constant input from all our senses and parental corrections. I bet if you add up that data it's a lot. But once we are partially trained, training more requires a lot less.
> I bet if you add up that data it's a lot. Let's Fermi estimate that. A 4k video stream is about 50 megabits/second. Let's say that humans have the equivalent of two of those going during waking hours, one for vision and one for everything else. Humans are awake for 18 hours/day, and we'll say a human's training is 'complete' at 25. Multiply that together, and you end up with 1.8e17 bytes, or 180 petabytes of data.…
Pretty unconvinced by this argument, it mostly hinges on the video stream size.
Re: Training for one trillion parameter model backed by Intel and US govt has begun
#110Earlier quoted context omitted.
> you had biplanes; then you had triplanes. You could have followed that farther, and added more wings - but it wouldn't have improved things. But people did try! https://en.wikipedia.org/wiki/Besson_H-5 https://en.wikipedia.org/wiki/Multiplane_(aeronautics)#Quadr...
Why stop here? This engineer experimented with 20 wings and more: https://en.wikipedia.org/wiki/Horatio_Frederick_Phillips