Let them Fight
Let them Fight
My one dark hope is AI will be enough of an impetus for somebody to update DMCA
> pay once, get access to everything everywhere
> thinks about Elsevier
OH GOD PLEASE NO
That doesn’t seem to be the same article
Turns out that whole idea of women being the primary bearers of hundred of years of exploited reproductive labor might have had some weight to it, huh.
All that labor being redirected into “L’economie” means that, at base, you’ll have less children.
This is interesting but I’ll reserve judgement until I see comparable performance past 8 billion params.
All sub-4 billion parameter models all seem to have the same performance regardless of quantization nowadays, so 3 billion is a little hard to see potential in.
I seriously doubt the viability of this, but I’m looking forward to being proven wrong.
Judging by my bank account I’m transitioning to non-profit status as well.
In my experience these open models is where the real work is being done. The large supervised models like DALL-E etc are more flashy but there’s a lot more going on behind the scenes than the model itself so it feels like it’s hard to gauge the real progress being done
Typically revolutions only occur when a significant number of elites defect from the current regime.
Large numbers of dissatisfied people need a Schelling Point to rally around and coordinate effectively.
Best bet for revolution right now seems to be for more elite colleges to start withholding degrees over this Israeli thing.
You could try Guix! It’s ostensibly source based but you can use precompiled binaries as well (using the substitute system)
It’s a source-first Functional package distro like Nix but uses Scheme to define everything from the packages to the way the init system (Shepherd) works.
It’s very different from other distros but between being functional, source-first, and having shepherd, I personally love it
The irony here is palpable
ChatGpt already is multiple smaller models. Most guesses peg chatgpt4 as a 8x220 Billion parameter mixture of experts, or 8 220 billion parameter models squished together