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Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).

Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.

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What is FOSS answer to BingGPT & Google Bard? (lemmy.ml)

submitted 1 year ago* (last edited 1 year ago) by [email protected] to c/[email protected]

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There was a post asking people their opinions about Edge and many people seemed to liked the idea of Edge and seemed to be ok having it on Linux (Blasphemy)

Also, can we all agree how fast Edge went from joke to a threat? I mean, it's good now alright! It was good back then, but it's better now. Money man!!! Money! Personally I hate MS, but I can't help but see the fact that there is no alternative to Bing GPT and many features Bing offers on Linux.

If there is an open source ChatGPT how would it look? Who would bear the costs? How would we solve the server problem? i.e., it would take a ton of server space and bandwidth. Just wondering.

I am pretty sure MS products will improve greatly due to their integration with GPT what do us poor folks on Linux do?

Just want to know the answers, I don't want to discuss (aka can't comment, I need to study), but just curious!

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[–] [email protected] 17 points 1 year ago

There are quite a few of them out there. Just a few from my notes (in reverse chronological order)

The self-hosted AI/ML system has been here for a while. Granted, the vast majority of them require downloading pre-trained models before they can be used due to how much it costs to build a system of weights from scratch.

I sometimes wonder if it would be possible to build and train a truly open source model with BOINC or something. The last 30 years of history show that it's entirely feasible to build a massively distributed computing cluster, why not leverage this to build a model? I know how naive that sounds immediately after writing it, mostly because of the difficulty of getting a large enough training data set, which unfortunately has risk written all over it (read: people poisoning the model, ala Microsoft's experiment with Tay on birbsite some years back).