The Open Source Initiative have defined what they believe constitutes “open source AI” (https://opensource.org/ai/open-source-ai-definition). This includes detailed descriptions of training data, explanation on how it was obtained, selected, labeled, processed and filtered. As long as a company utilize any model trained on non-specified data I will assume it is either stolen or otherwise unlawfully obtained from non-consenting users.

I will be clear that I have not read up on Deepseek yet, but I have a hard time believing their training data is specified according to OSI, since no big model yet has done so. Releasing the model source code means little for AI compared to all its training data.

Imo 16GB is a bare minimum today, i always recommend 32GB which is what i use myself. I agree 64GB is a bit overkill but the price for a prebuilt is good and the specs are banger.

I just like the analogy of a dashboard with knobs. Input text on one wide output text on the other. “Training” AI is simply letting the knobs adjust themselves based on feedback of the output. AI never “learns” it only produces output based on how the knobs are dialed in. Its not a magic box, its just a lot of settings converting data to new data.

The booklet has the “encouraged” procedures section where they state “sterilization reversal” which is just wild