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Open source AI is the path forward

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Re: Open source AI is the path forward

#351

Earlier quoted context omitted.

source available is absolutely not the same as open source you are playing very loosely with terms that have specific, widely accepted definitions (e.g. https://opensource.org/osd ) I don't get why you think it would be useful to call LLMs with published weights "open source"

> terms that have specific, widely accepted definitions OSF's definition is far from the only one [1]. Switzerland is currently implementing CH Open's definition, the EU another one, et cetera . > I don't get why you think it would be useful to call LLMs with published weights "open source" I don't. I'm saying that if the choice is between open weights or open weights + open training data, open weights will win becau…

diluting open source into a marketing term meaning "you can download something" would be a sad result

Re: Open source AI is the path forward

#352

Earlier quoted context omitted.

The National Science Foundation has been doing this for decades, starting with the supercomputing centers in the 80s. Long before anyone talked about cloud credits, NSF has had a bunch of different programs to allocate time on supercomputers to researchers at no cost, these days mostly run out of the Office of Advanced Cyberinfrastruture. (The office name is from the early 00s) - https://new.nsf.gov/cise/oac (To conn…

As you've rightly pointed out, we have the mechanism, now let's fund it properly! I'm in Canada, and our science funding has likewise fallen year after year as a proportion of our GDP. I'm still benefiting from A100 clusters funded by tax payer dollars, but think of the advantage we'd have over industry if we didn't have to fight over resources.

Where do you get access to those as a member of the general public?

Re: Open source AI is the path forward

#353
post #324
post #74

> We’re releasing Llama 3.1 405B, the first frontier-level open source AI model, as well as new and improved Llama 3.1 70B and 8B models. Bravo! While I don't agree with Zuck's views and actions on many fronts, on this occasion I think he and the AI folks at Meta deserve our praise and gratitude. With this release, they have brought the cost of pretraining a frontier 400B+ parameter model to ZERO for pretty much ever…

Look, absolutely zero people in the world should trust any tech company when they say they care about or will keep commitments to the open-source ecosystem in any capacity. Nevertheless, it is occasionally strategic for them to do so, and there can be ancillary benefits for said ecosystem in those moments where this is the best play for them to harm their competitors For now, Meta seems to release Llama models in way…

Is forking really possible with an LLM or one the size of future Lama versions, have they even released the weights and everything? Maybe I am just negative about it because I feel Meta is the worst company ever invented and feel this will hurt society in the long run just like Facebook.

Re: Open source AI is the path forward

#354
They are positioning themselves as champions of AI open source mostly because they were blindsided by OpenAI, are not in the infra game, and want to commoditize their complements as much as possible.

This is not altruism although it's still great for devs and startups. All FB GPU investments is primarily for new AI products "friends", recommendations and selling ads.

https://www.joelonsoftware.com/2002/06/12/strategy-letter-v/

Re: Open source AI is the path forward

#355
post #346
post #324

Earlier quoted context omitted.

Look, absolutely zero people in the world should trust any tech company when they say they care about or will keep commitments to the open-source ecosystem in any capacity. Nevertheless, it is occasionally strategic for them to do so, and there can be ancillary benefits for said ecosystem in those moments where this is the best play for them to harm their competitors For now, Meta seems to release Llama models in way…

> If that ever stops being the case, you should fork rather than trust their judgment. Fork what? The secret sauce is in the training data and infrastructure. I don't think either of those is currently open.

I'm just a lowly outsider to the AI space, but calling these open source models seems kind of like calling a compiled binary open source.

If you don't have a way to replicate what they did to create the model, it seems more like freeware than open source.

Re: Open source AI is the path forward

#356
post #346
post #324

Earlier quoted context omitted.

Look, absolutely zero people in the world should trust any tech company when they say they care about or will keep commitments to the open-source ecosystem in any capacity. Nevertheless, it is occasionally strategic for them to do so, and there can be ancillary benefits for said ecosystem in those moments where this is the best play for them to harm their competitors For now, Meta seems to release Llama models in way…

> If that ever stops being the case, you should fork rather than trust their judgment. Fork what? The secret sauce is in the training data and infrastructure. I don't think either of those is currently open.

A good point.

Forgive me, I am AI naive, is there some way to harness Llama to train ones own actually-open AI?

Re: Open source AI is the path forward

#357

“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].…

Overall government doing anything is a bad idea. There are cases however where government is the only entity that can do certain things. These are things that involve military, law enforcement etc. Outside of this we should rely on private industry and for-profit industry as much as possible.

> Overall government doing anything is a bad idea.

that is bereft of detail enough to just be wrong. There are things that government is good for and things that government is bad for, but "anything" is just too broad, and reveals an anti-government bias which just isn't well thought out.

Re: Open source AI is the path forward

#358
post #74

> We’re releasing Llama 3.1 405B, the first frontier-level open source AI model, as well as new and improved Llama 3.1 70B and 8B models. Bravo! While I don't agree with Zuck's views and actions on many fronts, on this occasion I think he and the AI folks at Meta deserve our praise and gratitude. With this release, they have brought the cost of pretraining a frontier 400B+ parameter model to ZERO for pretty much ever…

Don't be fooled, it is a "embrace extend extinguish" strategy. Once they have enough usage and be the default standard they will start to find any possible ways to make you pay.

Re: Open source AI is the path forward

#359
post #330
post #71

Earlier quoted context omitted.

the training data is the source.

I don’t think even that is true. I conjecture that Facebook couldn’t reproduce the model weights if they started over with the same training data, because I doubt such a huge training run is a reproducible deterministic process. I don’t think anyone has “the” source.

numpy.random.seed(1234)

Re: Open source AI is the path forward

#360
> My framework for understanding safety is that we need to protect against two categories of harm: unintentional and intentional. Unintentional harm is when an AI system may cause harm even when it was not the intent of those running it to do so. For example, modern AI models may inadvertently give bad health advice. Or, in more futuristic scenarios, some worry that models may unintentionally self-replicate or hyper-optimize goals to the detriment of humanity. Intentional harm is when a bad actor uses an AI model with the goal of causing harm.

Okay then Mark. Replace "modern AI models" with "social media" and repeat this statement with a straight face.

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