Open-source AI and open models reading list
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Open-source AI and open models reading list
1–10 of 32 posts
Re: Open-source AI and open models reading list
#2How about learning the internals of LLMs, is Sebastian Raschka's content still the best in 2026?
Re: Open-source AI and open models reading list
#3> Open-Source AI
There are no open source AI models, at least not useful ones (yet [1]). Open weight is not the same as open source. "Open weight" models are still just inscrutable binary blobs that you can (theoretically) run on your own computer instead of through a SAAS web app. The open weight model labs don't even provide a high level catalog or any description whatsoever about what went into the training data.
This is not open source and we should stop conflating the two things.
Re: Open-source AI and open models reading list
#4> Open-Source AI There are no open source AI models, at least not useful ones (yet [1]). Open weight is not the same as open source. "Open weight" models are still just inscrutable binary blobs that you can (theoretically) run on your own computer instead of through a SAAS web app. The open weight model labs don't even provide a high level catalog or any description whatsoever about what went into the training data.…
I thought Nemotron tried to be pretty open?
Re: Open-source AI and open models reading list
#5> Open-Source AI There are no open source AI models, at least not useful ones (yet [1]). Open weight is not the same as open source. "Open weight" models are still just inscrutable binary blobs that you can (theoretically) run on your own computer instead of through a SAAS web app. The open weight model labs don't even provide a high level catalog or any description whatsoever about what went into the training data.…
I think you would be pleasantly surprised by the content of the linked article.
Re: Open-source AI and open models reading list
#6> Open-Source AI There are no open source AI models, at least not useful ones (yet [1]). Open weight is not the same as open source. "Open weight" models are still just inscrutable binary blobs that you can (theoretically) run on your own computer instead of through a SAAS web app. The open weight model labs don't even provide a high level catalog or any description whatsoever about what went into the training data.…
>The open weight model labs don't even provide a high level catalog or any description whatsoever about what went into the training data.
because the training data is full of copyrighted works.
the answer to "what went into the training data" is "everything we could get our hands on".
Re: Open-source AI and open models reading list
#7> Open-Source AI There are no open source AI models, at least not useful ones (yet [1]). Open weight is not the same as open source. "Open weight" models are still just inscrutable binary blobs that you can (theoretically) run on your own computer instead of through a SAAS web app. The open weight model labs don't even provide a high level catalog or any description whatsoever about what went into the training data.…
Completely agree with this, I'm sick of people conflating the two. Open-weight models should be treated no more favourably than proprietary freeware.
Sure you can run tests and benchmarks on open-weight models, but that is the extent - there is no scrutiny, no auditing for bias or copyright contamination - just a black box that you rely on for "intelligence". I'm still shocked the way people can hand over not just huge swathes of data, but also decisions of all shapes and sizes - to AI companies with no way of being able to assess how the sausage is made.
Re: Open-source AI and open models reading list
#8> Open-Source AI There are no open source AI models, at least not useful ones (yet [1]). Open weight is not the same as open source. "Open weight" models are still just inscrutable binary blobs that you can (theoretically) run on your own computer instead of through a SAAS web app. The open weight model labs don't even provide a high level catalog or any description whatsoever about what went into the training data.…
I thought Nemotron tried to be pretty open?
Many of the Nemotron datasets are gated behind approval, and a license agreement.
The preamble on these datasets is: "This repository is publicly accessible, but you have to accept the conditions to access its files and contents."
I don't know what others have experienced, but I requested access to multiple Nemotron datasets and those requests were ignored for months before all but one request was rejected. There's no explanation for why, nor anything I can see which would lead to a rejection. So it's purely anecdotal and YMMV, but I don't see these as being particularly open.
Re: Open-source AI and open models reading list
#9> Open-Source AI There are no open source AI models, at least not useful ones (yet [1]). Open weight is not the same as open source. "Open weight" models are still just inscrutable binary blobs that you can (theoretically) run on your own computer instead of through a SAAS web app. The open weight model labs don't even provide a high level catalog or any description whatsoever about what went into the training data.…
Completely agree with this, I'm sick of people conflating the two. Open-weight models should be treated no more favourably than proprietary freeware. Sure you can run tests and benchmarks on open-weight models, but that is the extent - there is no scrutiny, no auditing for bias or copyright contamination - just a black box that you rely on for "intelligence". I'm still shocked the way people can hand over not just hu…
You can create derivative works from open weight models
Re: Open-source AI and open models reading list
#10> Open-Source AI There are no open source AI models, at least not useful ones (yet [1]). Open weight is not the same as open source. "Open weight" models are still just inscrutable binary blobs that you can (theoretically) run on your own computer instead of through a SAAS web app. The open weight model labs don't even provide a high level catalog or any description whatsoever about what went into the training data.…
K2 horizon is also fully open source i believe - https://ifm.ai/k2/
I understand your quibble with terminology, but i think the “inscrutable binary blob” thing is a bit off base. You can create finetunes and post train models using only their open weights. You can’t create derivative works like that from an inscrutable binary blob