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mesebrec

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Explaining the Concept of Data Information

opensource.org
1 points·by mesebrec·2 năm trước·0 comments

Kubuntu: Week 3 wrap up, Contest KDE snaps, Debian uploads

scarlettgatelymoore.dev
3 points·by mesebrec·2 năm trước·0 comments

RFC processes are a poor fit for most organizations

jacobian.org
5 points·by mesebrec·3 năm trước·1 comments

Asahi dev found off-by-one bug in M2 MacBook Air bass enhancer

social.treehouse.systems
92 points·by mesebrec·3 năm trước·54 comments

Important Changes at EdX

support.edx.org
13 points·by mesebrec·3 năm trước·1 comments

What Is the Python Global Interpreter Lock (GIL)? (2019)

realpython.com
2 points·by mesebrec·3 năm trước·1 comments

comments

mesebrec
·7 tháng trước·discuss
Llama's license explicitly disallows its usage in the EU.

If that doesn't even meet the threshold for "terrible", then what does?
mesebrec
·2 năm trước·discuss
The video is currently private: https://m.youtube.com/watch?v=LxDM8io4lUA
mesebrec
·2 năm trước·discuss
Indeed, this is something they changed in the 3.1 version of the license.

Regardless, the license [1] still has many restrictions, such as the acceptable use policy [2].

[1] https://huggingface.co/meta-llama/Meta-Llama-3.1-8B/blob/mai...

[2] https://llama.meta.com/llama3_1/use-policy
mesebrec
·2 năm trước·discuss
This is like saying any python program is open source because the python runtime is open source.

Inference code is the runtime; the code that runs the model. Not the model itself.
mesebrec
·2 năm trước·discuss
Regardless of the training data, the license even heavily restricts how you can use the model.

Please read through their "acceptable use" policy before you decide whether this is really in line with open source.
mesebrec
·2 năm trước·discuss
Open source requires, at the very least, that you can use it for any purpose. This is not the case with Llama.

The Llama license has a lot of restrictions, based on user base size, type of use, etc.

For example you're not allowed to use Llama to train or improve other models.

But it goes much further than that. The government of India can't use Llama because they're too large. Sex workers are not allowed to use Llama due to the acceptable use policy of the license. Then there is also the vague language probibiting discrimination, racism etc.. good luck getting something like that approved by your legal team.
mesebrec
·2 năm trước·discuss
You also can't use it for training or improving other models.

You also can't use it if you're the government of India.

Neither can sex workers use it. (Do you know if your customers are sex workers?)

There are also very vague restrictions for things like discrimination, racism etc.
mesebrec
·2 năm trước·discuss
Indeed, fine-tuning is still possible, but you can only go so far with fine-tuning before you need to completely retrain the model.

This is why Silo AI, for example, had to start from scratch to get better support for small European languages.
mesebrec
·2 năm trước·discuss
Without Meta, you would still have Mistral, Silo AI, and the many other companies and labs producing much more open models with similar performance.
mesebrec
·2 năm trước·discuss
Note that Meta's models are not open source in any interpretation of the term.

* You can't use them for any purpose. For example, the license prohibits using these models to train other models. * You can't meaningfully modify them given there is almost no information available about the training data, how they were trained, or how the training data was processed.

As such, the model itself is not available under an open source license and the AI does not comply with the "open source AI" definition by OSI.

It's an utter disgrace for Meta to write such a blogpost patting themselves on the back while lying about how open these models are.
mesebrec
·2 năm trước·discuss
Oh, wow, I came here for the same thing. The tone of the post got more and more annoying as it progressed.

Posting quotes from reddit as if they're intellectual discussions was a red flag, but this specific statement was just too much to ignore.

Although I work on Linux almost daily, I'm happy to say it's possible to simply avoid those kinds of people. Fostering a healthy environment where people can discuss and disagree respectfully is incredibly important for volunteer-led projects like Linux distributions.
mesebrec
·2 năm trước·discuss
> On the third hand, I can't deny some amount of schadenfreude looking at Apple having to deal with the same "do the work first, we'll judge if it meets our review standard afterwards" treatment as they do to developers.

That's not really how the process was supposed to work. Apple has had a lot of discussions with the EC over the past year about this law and its implementation.

This is common and the goal is to help the company figure out how to implement it.

However, from the EU side, it seemed as if Apple completely misunderstood what the discussions with the EU were for.

Apple was mainly focused on trying to lobby against all restrictions, not realizing the EU already made up their mind. The EU was trying to prepare Apple, but instead Apple dragged their feet, remained in denial, and were then suddenly surprised that yes, indeed, they really can't lobby their way out of compliance.
mesebrec
·2 năm trước·discuss
The reasoning is that apple's marketplace is such a central cornerstone to digital life that it becomes a public resource.
mesebrec
·3 năm trước·discuss
When thinking about what governance structure to use for our hackerspace, we thought about RFCs for a bit, but I'm glad we went with something different.

RFCs give way too much power to people who like to argue. This quickly kills enthousiasm in people proposing change.
mesebrec
·3 năm trước·discuss
Have you tried the latest version of OnlyOffice?
mesebrec
·3 năm trước·discuss
You are creating a strawman.

The original argument is not "they created encryption that isn't broken before". The argument is "encryption created by competitions that are only refereed by NIST is trustworthy"
mesebrec
·3 năm trước·discuss
Don't quote me on this but I think the limiting factor is that gravitational pull needs to be stronger than the expansion of the universe.
mesebrec
·3 năm trước·discuss
Stars are formed when clouds of gas and dust collapse into themselves.

Either the cloud is big and dense enough to collapse into a star, or it will remain as a cloud.

Our Jupiter was created when, during the collapse, other forces pulled part of the collapsing cloud away from the sun, into a stable orbit.

> Stars form when the dust and gas clouds in a nebula cool, progressively fragment and eventually collapse under their own gravity. The smallest stars are about 80 Jupiter masses, below which the core is not dense enough to fuse hydrogen, but smaller objects can coalesce through the same process, including dimly glowing brown dwarfs – sometimes called failed stars – and, below about 13 Jupiter masses, planetary-mass objects. But theoretical predications suggest that the lower boundary for an object forming through a star-like gravitational collapse is about three to seven Jupiter masses.

https://www.theguardian.com/science/2023/oct/02/jumbos-jupit...
mesebrec
·3 năm trước·discuss
Interesting how rebuilding the support from the ground up allowed them to find a bug in the existing implementation. It really speaks to the quality of Asahi's work, imo.
mesebrec
·3 năm trước·discuss
The original decision to move was discussed previously here: https://news.ycombinator.com/item?id=27674413

It seems the practical implementation of the deal has started, with EdX notifying all their users when you log in.