51–60 of 141 posts
A bit off topic, but I think I'm starting to get model fatigue. These come out 10x faster than new Javascript frameworks were coming out 10 years ago (at least new models are far easier to adopt).
Earlier quoted context omitted.
The training data would need to have a permissive license for this to be possible.
Hear me out. Decentralized unstoppable storage, combined with decentralized unstoppable training, sorta like SETI for AI training. The seed of this tech already exists with IPFS and others like it. We know (some? all?) of the big labs have skirted copyright laws at one point or another. Truly open models would just build on what is publicly available.
Earlier quoted context omitted.
The training data would need to have a permissive license for this to be possible.
You could sidestep it by running non-permissibly licensed training data that you purchased through an LLM. Legal attitude so far seems to be that this is transformative as long as it's not 1:1. The question on whether or not the end result is copyrightable of course remains controversial and inconsistent, but that question is also fairly irrelevent. You don't get more libre than public domain. That's a fair amount of…
Are LLMs what we need to make all data public domain? This way it could be used for that purpose
Fully open models really need to be a big part of the AI future. That includes all source code, open training data, how it's organized, fed to the model, processed, etc. Until that becomes a thing you're always going to be left wondering what exactly lies underneath the closed model you are using, leaving open the possibility for societal manipulation.
The training data would need to have a permissive license for this to be possible.
The comparisons with other models here are odd.. the other models change depending on the task. It would be far more useful to at least compare against the more recent open models (DS4Flash/GLM53Flash/Qwen38).
There is, for example, no Qwen3.8 7B.
It is odd to me, though, that they didn't run the same benchmark suite for the various quants.
Seeing this the day all major closed LLMs went offline is quite the reminder of how valuable open source can be.
The press release: https://ifm.ai/k2/press-release/
A bit off topic, but I think I'm starting to get model fatigue. These come out 10x faster than new Javascript frameworks were coming out 10 years ago (at least new models are far easier to adopt).
Just wait until RSI gains enough traction. We'll be compute-limited rather than labor-limited.
Earlier quoted context omitted.
Hear me out. Decentralized unstoppable storage, combined with decentralized unstoppable training, sorta like SETI for AI training. The seed of this tech already exists with IPFS and others like it. We know (some? all?) of the big labs have skirted copyright laws at one point or another. Truly open models would just build on what is publicly available.
Crypto bros took the idea with some blockchain shit and no one takes it seriously anymore so it died
edit: Tried signing up and using the internal playground. Holy shit thats fast.