reedciccio

You could try changing your process, use something like getgrist.com.

It wasn't Canonical's limitation. Mozilla can confirm: the barriers to enter the phone manufacturing market are immense. Samsung, Ericsson, Sony, LG, etc, all had solid control of the deals with the network operators worldwide. It's a highly regulated market, you can't get in without Verizon, att, Vodafone etc to let you in. Canonical, Open Moko, Mozilla... Didn't have the strength to push through. Google and Apple did.

Yes, they do but they require walking to their office and deal with paper or call them during ever shrinking office hours. Take your poison.

No, there is a famous law case to prove that's allowed: https://en.wikipedia.org/wiki/Authors_Guild,_Inc._v._Google,....

I think their business model is to work on specialized models rather than general purpose. See https://pleias.ai/blog/sillon-ratp and the focus on synthetic datasets for specific personas.

I don't know if it's ethically better to use LLMs trained on data licensed from X, Reddit, stackoverflow, Sony, CNN and all big content aggregators who will/have agreements with big tech. I'd prefer to focus on mechanisms to force reciprocating the donation: scrape and train at will, publish the models as open weights, at least. Anyway, the vegan LLMs exist, see the work of Pleias.ai.

You don't need a license to scrape the public web and analyze it, turn it into tokens and other transformations. Let's not expand copyright beyond the horrible monster it already is.

You don't need to have fully copyright-unencumbered datasets to build Open Source AI, as that (as you say) would be impossible. https://opensource.org/ai

Unix workstations had mice with 3 buttons. The Mac had only one. Windows, Amiga, Atari had two. The Unix developers had choice that others didn't have. They came up with a use that existed forever. Now someone decided to remove the default for no apparent reason. It's like the Android product managers continuing to change the color, size and gesture to answer a phone call: every release, the first call is an exercise in managing frustration.

What???? That's the most expected feature of any *nix user since the dawn of X Window!

Mr. Martin was also paid to support the production of GoT, not just royalties. There is no reason to believe that he wouldn't be called to do the same sort of consulting work on the script, dialogues, visual, etc if the copyright expired.

Thunderbird has been re-added to the products steered by the Mozilla Foundation. https://blog.thunderbird.net/2023/11/the-untold-history-of-t...

Uhm... The article lacks quite a few citations.

I love your innocence! :)

Doesn't Whatsapp already use an open source protocol? https://signal.org/blog/whatsapp-complete/

Yeah... Ask Schrems about the hefty fines and all that pretty things bright to Europeans by the GDPR. Come on! The GDPR is at best a pretty face to a rotten nothing-burger.

They don't violate licenses otherwise they would have been blown out of existence a long time ago, drown lawsuit after lawsuit.

The theory is being tested that you don't need to be a copyright holder to file a lawsuit https://sfconservancy.org/copyleft-compliance/vizio.html

The FSF can't pull the rug because of its bylaws

Same as today? Empirically demonstrated: The only ones getting richer and richer after the Napster wars are the publishers, like Apple Music, Spotify and the other mega corporations. :)

Delayed Open Source, and it's an old practice https://opensource.org/delayed-open-source-publication

That means that Graphene OS is "eventually open source", which is a practice as old as open source (call it free software, if you prefer) itself. More on https://opensource.org/delayed-open-source-publication

I'm extremely interested in this topic. Would you be able to share your presentation?

Any architect and urban planner is aware of the problems with flatlands near river beds. It's the politicians who decide to ignore the science, known since the times of the Romans.

Is it Llama violating the "copyright" or is it the researcher pushing it to do so?

Search more, there is a lot of literature discussing how hard the problem of reproducibility of GenAI/LLMs/Deep Learning is, how far we are from solving it for trivial/small models (let alone for beasts the size of the most powerful ones) and even how pointless the whole exercise is.

> if you do it twice the same way, you'll get the same output

Point at the science that says that, please: Current scientific knowledge doesn't agree with you.

Can you point at the research that says that the training process of a LLM at least the size of OLMo or Pythia is deterministic?

It's very imperfect analogy though these things can't be rebuilt "from scratch" like a program, the training process doesn't seem to be replicable anyway. Nonetheless, full data disclosure is necessary, according to the result of the years-long consultation led by the Open Source Initiative https://opensource.org/ai