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Flat epistemological statements like this are why I feel like more STEM people need to take Philosophy.
Flat epistemological statements like this are why I feel like more STEM people need to take Philosophy.
Those cost efficiencies are also at the expense of the Chinese government. The massive investment is all part of their green revolution policy package.
It’s why Solar cells are also incredibly cheap to produce in China, and why they’re also mostly sold in China.
The OSI just published a resultnof some of the discussions around their upcoming Open Source AI Definition. It seems like a good idea to read it and see some of the issues they’re trying to work around…
https://opensource.org/blog/explaining-the-concept-of-data-information
I would recommend instead to use the AI Horde: https://stablehorde.net/ It’s a collection of people hosting stable diffusion/text generation models
There’s also openrouter which can connect to ChatGPT with a token-based system. (They check your prompts for hornyposting though)
They should probably do the same with cascade, seeing as that license seems to be more restrictive as well
I suppose the importance of the openness of the training data depends on your view of what a model is doing.
If you feel like a model is more like a media file that the model loaders are playing back, where the prompt is more of a type of control over how you access this model then yes I suppose from a trustworthiness aspect there’s not much to the model’s training corpus being open
I see models more in terms of how any other text encoder or serializer would work, if you were, say, manually encoding text. While there is a very low chance of any “malicious code” being executed, the importance is in the fact that you can check the expectations about how your inputs are being encoded against what the provider is telling you.
As an example attack vector, much like with something like a malicious replacement technique for anything, if I were to download a pre-trained model from what I thought was a reputable source, but was man-in-the middled and provided with a maliciously trained model, suddenly the system I was relying on that uses that model is compromised in terms of the expected text output. Obviously that exact problem could be fixed with some has checking but I hope you see that in some cases even that wouldn’t be enough. (Such as malicious “official” providence)
As these models become more prevalent, being able to guarantee integrity will become more and more of an issue.
I’ve seen this said multiple times, but I’m not sure where the idea that model training is inherently non-deterministic is coming from. I’ve trained a few very tiny models deterministically before…
I’m not sure where you get that idea. Model training isn’t inherently non-deterministic. Making fully reproducible models is 360ai’s apparent entire modus operandi.
There are VERY FEW fully open LLMs. Most are the equivalent of source-available in licensing and at best, they’re only partially open source because they provide you with the pretrained model.
To be fully open source they need to publish both the model and the training data. The importance is being “fully reproducible” in order to make the model trustworthy.
In that vein there’s at least one project that’s turning out great so far:
Holy crap there are still working nitter instances? God bless
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
thinking about Werner Von Braun and the peenemunde Yea I’m not sure anyone has a leg to stand on when it comes to “stolen” technology and space
This is because all LLMs function primarily based on the token context you feed it.
The best way to use any LLM is to completely fill up it’s history with relevant context, then ask your question.
Doesn’t this just do what gets done through convolution anyway?
What’s the point of this.
Ahhhh that makes a lot more sense, thanks!
I didn’t realize you could run something like this on your phone
The project was using a way to bypass requiring a backing account to proxy the requests, but the API update broke that
The instances that chose (and choose) to go the extra mile by creating and maintaining proxy account(s) are the ones still working
If the instance gets too popular the twitter goons quickly figure out what the proxy account is and ban it, though. So it’s a constant game of cat and mouse.
I thought it was atomic age and information age…
Or was that just empire earth…
Tango closed cause it was the one of the only studios under Zenimax that wasn’t currently making a game with “executive producer: Todd Howard” squirted all over it
See you guys in 2040