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?
Upon seeing evidence that censorship negatively impacts models, you attack something else. All in a way that shows a clear "US bad, China good" perspective.
Upon seeing evidence that censorship negatively impacts perception of the US, you attack something else. All in a way that shows a clear "China bad, US good" perspective.
Nope.
My comment was neutral on the US - I emphasized the detriment of censorship on models which is true insofar as the US censors models.
Whereas the other comment moves the goalposts from "i dont necessarily see the problem with censorship on models" when presented evidence to the contrary by attacking the US. It was never about US vs. China (to anyone else). That's the deflection.
The only reason I don't use Grok professionally is that I've found it to not be as useful for my problems as other LLMs.
Is it generating CP when given benign prompts? Or is it misinterpreting normal prompts and generating CP?
There are a LOT of tools that we use at work that could be used to do horrible things. A knife in a kitchen could be used to kill someone. The camera on our laptop could be used to take pictures of CP. You can write death threats with your Gmail account.
We don’t say knives are unusable in a professional setting because they have the capability to be used in crime. Why does AI having the ability to do something bad mean we can’t use it at all in a professional setting?
Any employee that is going to use a corporate AI tool to generate CP is going to use other corporate tools to do worse things. There is no point in worrying about it.
Company A - First to the market, Reasonable Cost, Most well known name. Very easy integration.
Company B - Well regarded tools, Higher cost, Better performance and reviews from team. More difficult to integrate
Company C - Reasonably Priced, Performance is reasonable, Has a connection to an extremely controversial individual, Currently being lambasted for being an CP/Revenge Porn generator
Ok, now pretend you're talking to a guy who signs your paycheques. Which one are you NOT gonna pick?
Do you mean it's unusable if you're passing user-provided prompts to Grok, or do you mean you can't even use Grok to let company employees write code or author content? The former seems reasonable, the latter not so much.
Why? I have a female sales person, and I noticed they get a different response from (female) receptionists than my male sales people. I asked chatGPT about this, and it outright refused to believe me. It said I was imagining this and implied I was sexist or something. I ended up asking Grok, and it mentioned the phenomena and some solutions. It was genuinely helpful.
Further, I brought this up with some of my contract advisors, and one of my female advisors mentioned the phenomena before I gave a hypothesis. 'Girls are just like this.'
Now I use Grok... I can't believe I'm saying that. I just want right answers.
The equivalent here for the US would probably be models unwilling to talk about chattel slavery, or Japanese internment, or the Tuskegee Syphilis Study.
Sensitive political topics exist in the Western World too, and we have the same reaction to them: "That is so wrong that you shouldn't even say that". It is just that their things seem strange to us and our things seem strange to them.
As an example of a thing that is entirely legal in NYC but likely would not be permitted in China and would seem bizarre and alien to them (and perhaps also you), consider Metzitzah b'peh. If your reaction to it is to feel that sense of alien-ness, then perhaps look at how they would see many things that we actively censor in our models.
The guardrails Western companies use are also actively iterated on. As an example, look at this screenshot where I attempted to find a minimal reproducible case for some mistaken guard-rail firing https://wiki.roshangeorge.dev/w/images/6/67/Screenshot_ChatG...
Depending on the chat instance that would work or not work.
Aside from the political aspect of it, which makes it probably a bad knowledge model, how would this affect coding tasks for example?
One could argue that Anthropic has similar "censorships" in place (alignment) that prevent their model from doing illegal stuff - where illegal is defined as something not legal (likely?) in the USA.