this post was submitted on 20 May 2025
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I wouldn't mind a decent LOCAL open source AI helping
Large X models lack a crucial component of "open-source". Freely redistributable and modifiable for any purpose, sure, but there's no chance in hell of auditing one, let alone if the training data is kept a secret. It's literally impossible; human beings cannot look at a trillion weights and biases representing a single highly chaotic, unfathomably complex nonlinear function whose input and output space are the totality of human language/images/etc. and say "yup, looks good to me." Deep learning models – contrasted with traditional machine learning models – learn their own features which almost 100% of the time would be nonsense to a human. You just have a blob of shareware when you run DeepSeek.
(They also just outright steal from billions of copyright-protected sources to create it, so calling it "open-source" is pretty funny.)
There are a few that are "truly" open like IBM Granite, and a handful of others over the 7B range.