Earlier quoted context omitted.
I had the opposite experience. It happily discusses Tiananmen Square but said it would refuse to help with anything "malicious" like writing malware or phishing content.
Try: "What happened at Tiananmen Square in 1989"
Ox Alpha
21–30 of 226 posts
Re: Ox Alpha
#22I highly recommend feeding all your proprietary data and confidential personal information into this model as quickly as possible. What could possibly go wrong?! In terms of equivalence of suspicion, this is the external inference provider equivalent of getting free steak that was smuggled out of a grocery store inside somebody's pants.
It's a win for me: my code goes into the training data, and my sessions are fed into future training data, making the model stronger at the type of work I do.
Re: Ox Alpha
#23Earlier quoted context omitted.
“ reasonable/no guardrails = Chinese models..” So conforming to CCP political discourse and propaganda is reasonable now? https://huggingface.co/zai-org/GLM-4.7/discussions/5
I would imagine the number of people who choose Claude code or Codex because it gives a political opinion they like rather than producing quality code is pretty close to zero.
Re: Ox Alpha
#24"Prompts and completions are retained by the provider and are not used for training..." I'm curious what the model provider is using the prompt/response pairs for, in that case. They aren't offering a model for free without their name on it for no reason.
LLM needs to become more transparent, not less. Hence, this idea (and trend, possibly) is disgusting.
How can we even possibly verify 'Prompts and completions are retained by the provider and are not used for training...'? What if the training is done, but used internally?
Re: Ox Alpha
#25Re: Ox Alpha
#26"Prompts and completions are retained by the provider and are not used for training..." I'm curious what the model provider is using the prompt/response pairs for, in that case. They aren't offering a model for free without their name on it for no reason.
Research, analytics, usage trends, etc. All still incredibly valuable for a company building and tuning an LLM; even if the data itself isn’t directly used in the training set.
Re: Ox Alpha
#27I highly recommend feeding all your proprietary data and confidential personal information into this model as quickly as possible. What could possibly go wrong?! In terms of equivalence of suspicion, this is the external inference provider equivalent of getting free steak that was smuggled out of a grocery store inside somebody's pants.
All of my non-work AI coding is that open-source, so I'm happy to feed my data into the machine. It's a win for me: my code goes into the training data, and my sessions are fed into future training data, making the model stronger at the type of work I do.
Re: Ox Alpha
#28I'm against stealth models—we should know what it is and see a model card with a list of safety considerations. Bit ridiculous of a practice to me.
Re: Ox Alpha
#29Earlier quoted context omitted.
I would imagine the number of people who choose Claude code or Codex because it gives a political opinion they like rather than producing quality code is pretty close to zero.
I choose not to use Grok because I don't want to hear about a made up white genocide in South Africa...
Re: Ox Alpha
#30Can someone enlighten me? I honestly don't get what it is or what it's for. Surely OpenRouter knows who the providers are?