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Open source AI is the path forward

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Re: Open source AI is the path forward

#691

Earlier quoted context omitted.

Of course it could be practical - provide the data. The fact of that society is a dystopian nightmare controlled by a few megacorporations that don't want free information does not justify outright changing the meaning of the language.

> provide the data Who? It's not their data.

why are they using it?

Re: Open source AI is the path forward

#692

Earlier quoted context omitted.

"Open weights" means you can use the weights for free (as in beer). "Open source" means you get the training dataset and the methodology. ~Nobody does open source LLMs.

If weights are not the source, then if they gave you the training data and scripts but not the weights, would that be "open source"?

Yes, but they won't do that. Possibly because extensive copyright violation in the training data that they're not legally allowed to share.

Re: Open source AI is the path forward

#694

Earlier quoted context omitted.

It means nothing because LLMs aren't software.

Do they not run on a computer?

So does a video. Is a video open source if you're given the permissions to edit it? To distribute it? Given the files to generate it? What if the files can only be open in a proprietary program?

Videos aren't software and neither are llms.

Re: Open source AI is the path forward

#695

Earlier quoted context omitted.

Training code is only useful to people in academia, and the closest thing to "code you can modify" are open weights. People are framing this as if it was an open-source hierarchy, with "actual" open-source requiring all training code to be shared. This is not obvious to me, as I'm not asking people that share open-source libraries to also share the tools they used to develop them. I'm also not asking them to share al…

I dunno — if an open source project required, say, a proprietary compiler, that would diminish its open source-ness. But I agree it's not totally comparable, since the weights are not particularly analogous to machine code. We probably need a new term. Open Weights.

There are many "compilers", you can download The Pile yourself.

Re: Open source AI is the path forward

#696

Earlier quoted context omitted.

The open source movement , from which the name derives, was about the freedom to make bespoke alterations to the software you choose to run. Provided you have reasonably widespread proficiency in industry standard tools, you can take something that's open source, modify that source, and rebuild/redeploy/reinterpret/re-whatever to make it behave the way that you want or need it to behave. This is in contrast to a comp…

>The open source movement, from which the name derives, was about the freedom to make bespoke alterations to the software you choose to run. The open source movement was a cash grab to make the free software movement more palatable to big corp by moving away from copy left licenses. The MIT license is perfectly open source and means that you can buy software without ever seeing its code.

If you obtain open source licensed software you can pass it on legally (and freely). With some licenses you also have to provide the source code.

Re: Open source AI is the path forward

#697
post #380

Earlier quoted context omitted.

Meta does a good thing HN spends a day figuring out how it’s actually bad

No one said it was bad. It's just self interested (as companies generally are) and are using that to have a PR spin on the topic. But again, this is what all companies do and nothing about it is bad per se.

Nothing they're doing is bad, and sometimes we benefit when large companies interests align with our own. All the spiel about believing in open systems because of being prevented from making their best products by Apple is a bit much considering we're talking about Facebook which is hardly an 'open platform', and the main thing Apple blocked them on was profiling their users to target ads.

Re: Open source AI is the path forward

#699

Earlier quoted context omitted.

>Nobody does open source LLMs. There are a bunch of independent, fully open source foundation models from companies that share everything (including all data). AMBER and MAP-NEO for example. But we have yet to see one in the 100B+ parameter category.

Sorry, the tilde before "nobody" is my notation for "basically nobody" or "almost nobody". I thought it was more common.

It's the literal (figurative) nobody rather than the literal (literal) nobody.

Re: Open source AI is the path forward

#700

“The Heavy Press Program was a Cold War-era program of the United States Air Force to build the largest forging presses and extrusion presses in the world.” This ”program began in 1944 and concluded in 1957 after construction of four forging presses and six extruders, at an overall cost of $279 million. Six of them are still in operation today, manufacturing structural parts for military and commercial aircraft” [1].…

In the Netherlands, for instance, there is "the national supercomputer" Snellius: https://www.surf.nl/en/services/snellius-the-national-superc... I am not sure about its budget, but my impression as a user is that its resources are never fully used. At least, none of my jobs ever had to queue. I doubt that it can compete with the scale of resources that FAANG companies have available, but then again, I also doubt how research would benefit.

Sure, academia could build LLMs, and there is at least one large-scale project for that: https://gpt-nl.com/ On the other hand, this kind of models still need to demonstrate specific scientific value that goes beyond using a chatbot for generating ideas and summarizing documents.

So I fully agree that the research budget cuts in the past decades have been catastrophic, and probably have contributed to all the disasters the world is currently facing. But I think that funding prestigious super-projects is not the best way to spend funds.

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