

Most resources have a URI, Universal Resource Identifier. Related to a URL, except that it doesn’t necessarily tell you how to locate the resource it identifies, URIs have dozens of schemas (eg isbn: for books) that can identify virtually any kind of media. Ideally they would tell us the URI, all metadata, source/provenance/licensing information, and the hash of the resource. If they truly are training on anonymous unattributed blobs that they just mysteriously found in their dataset, well that would be interesting to learn.




An inspectable dataset would allow users audit according to their own project’s values and obligations. That’s the only standard that matters. I don’t yet see the need to bring a discussion of universal ethics into this.
Datasets containing unlicensed, stolen, and even privileged information have been used for major commercial models. This is a concrete problem for some people, and open source datasets address directly address it.
You tangentially bring up a bunch of other stuff but don’t appear willing to defend a position on any of it. I don’t really understand your point. You can speculate about what Jesus’s objection might be, but if you’re not willing to bring forward your own objections, I’m not sure what you’re trying to accomplish at this point.
IMHO, the problem with AI isn’t AI, it’s that we are permitting states and obscenely wealthy individuals to engage in an extremely wasteful winner-takes-all arms race. IMHO, there is nothing wrong with private individuals exploring LLMs and other new AI technologies, and self-hosted open source models are the only way we get to participate and potentially protect ourselves.