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This is how i initially got started and i always like to recommend it. CS50x (introduction to computer science) is their college curriculum made available for free as opencourseware. Their lectures are very engaging imo, and you get problemsets to practice and check your answers. The problems are done in an online environment which i like so you don't get bogged down in setting up your computer before you've even learned how to code. And then at the end you pick a project of your own and when you finish you get a free certificate (don't bother paying for the "verified" one)

One other thing i think cs50 does pretty well is help teach you how to solve problems and how to read documentation. The reality is that learning how to code isn't just learning a coding language. Knowing how to solve different types of problems and how to read documentation are core skills that let you get away from "tutorial hell" and start working on a project that excites you.

I deleted my 12 year old account over the latest privacy policy update which auto opted-in to using your data for unspecified AI purposes. There was some discussion here, and while a strava rep did give specific examples in their response, the privacy policy was not updated and continues to be both broad and auto opted-in with no way to opt out.

Regardless of the current use of AI, the broad privacy policy creates the potential to allow them to do many things with your data without telling you about it in the future. And that thread discusses some potential problematic uses that you could be opted into without ever knowing it.

The privacy policy needs to be more specific, and allow opting out (or better yet, make opt out the default).

And yeah, API change is pretty crap too.

Second the Automate The Boring Stuff recommendation, especially if you're looking for a physical gift (or free online as mentioned)

Id also just in general recommend CS50-python as a free course for python. Engaging lectures, problem sets you can check your solutions, and you finish with a project of your own choosing. No programming background is needed. Don't buy a verified certificate, the whole course is free along with a free certificate

Thanks, yeah looks like they are wanting to build on their own reader app.

https://elevenlabs.io/blog/omnivore-joins-elevenlabs

Everyone has a hobby 🙃

So are they somehow able to relicense by buying off the contributors? Or does Eleven Labs intend to host/use something under AGPLv3? Just trying to figure out what their plan is and how they're dealing with it being open source

Right, the other thing i considered is that you could just create a company and "buy" the data from them for a ridiculous amount of money and then you have less requirement to detail the data. Similarly you could deem the data unsharable and fudge the provenance.

Like locks, it will only keep honest people honest.

the actual license text part being questioned .

Data Information: Sufficiently detailed information about the data used to train the system so that a skilled person can build a substantially equivalent system. Data Information shall be made available under OSI-approved terms.

In particular, this must include: (1) the complete description of all data used for training, including (if used) of unshareable data, disclosing the provenance of the data, its scope and characteristics, how the data was obtained and selected, the labeling procedures, and data processing and filtering methodologies; (2) a listing of all publicly available training data and where to obtain it; and (3) a listing of all training data obtainable from third parties and where to obtain it, including for fee.

(The rest of the license goes on to talk about weights, etc).

I agree with you somewhat. I'm glad that each source does need to be listed and described. I'm less thrilled to see "unshareable" data and data that cost $ in there since i think these have potential to effectively make a model not able to be retrained by a "skilled person".

It's a cheap way to make an AI license without making all the training data open source (and dodging the legalities of that).

+1 for gitlab. You can programmatically generate a csv file that can be used to generate issue(s) which support markdown format. Then your checklists could be issues and marked as completed when done.

You could also for instance set up a weekly pipeline schedule to generate issue(s) from the csv if some of the issues are needed on an interval.

If gitlab isn't an option then id still look into generating the .md files this way and finding a home for the .md files that works for your user(s)

Appreciate it, i wasn't familiar with the project and didn't see that!

I don't see a CLA so this is somewhat surprising that all ~30 contributors would be okay moving away from open source.

Unless this was a unilateral decision

And it makes no mention that they were modifying and using GPL code prior to making their code "open source".

Id argue that this story is not over until the GPL code can be confirmed removed by a third party