> Why is this surprising?
Because the promise of "open-source" (which this isn't; it's not even open-weight) is that you get something that proprietary models don't offer.
If I wanted censored models I'd just use Claude (heavily censored).
> Because the promise of "open-source" (which this isn't; it's not even open-weight) is that you get something that proprietary models don't offer. If I wanted censored models I'd just use Claude (heavily censored).
You're saying it's surprising that a proprietary model is censored because the promise of open-source is that you get something that proprietary models don't offer, but you yourself admit that this model is neither open-source nor even open-weight?
I can open source any heavily censored software. Open source doesn’t mean uncensored.
What the properietary models don't offer is... their weights. No one is forcing you to trust their training data / fine tuning, and if you want a truly open model you can always try Apertus (https://www.swiss-ai.org/apertus).