3 ms·

For example? Because for Deepseek is pretty straightforward censorship.

• rotis 5mo ago
  https://chatgpt.com/share/69f0dc83-ec70-83eb-896b-b258de2c9f33 https://chatgpt.com/share/69f0dc83-ec70-83eb-896b-b258de2c9f... https://claude.ai/share/ac4d2041-4328-4511-904a-ff8b1cbfc0bb https://claude.ai/share/ac4d2041-4328-4511-904a-ff8b1cbfc0bb Looks like self-censoring to me. Grok has no problems answering, so it is not a technical limitation: https://grok.com/share/bGVnYWN5_341d6428-ea7d-4b84-ad4d-8df9313478fe https://grok.com/share/bGVnYWN5_341d6428-ea7d-4b84-ad4d-8df9...
  • libertine 5mo ago
    It doesn't look like self censoring at all - basically you want the default behavior of llms to gamble on the ethnicity of someone based on how they look. Grok used a book as a reference. It's not like ethnicity is a fact you infer from looking at someone. Now ask Deepseek about what happened in Tiananmen Square and watch what censorship actually looks like. It literally knows the facts, but then there's a layer that prevents it from stating the facts. That's censorship. It's not an opinion, it's not a choice when facing a gradient, it's just an historical known fact.