4 ms·

It's fun to pretend the US models have no censorship constraints.

deleted 6mo ago
[deleted]
zapnuk 6mo ago
US models align with our "average" (western) values. If we outsource thinking by using LLMs, why would we outsource it to an LLM that doesn't have our values encoded in it?
- HDBaseT 6mo ago
  [dead]
pimeys 6mo ago
I remember asking Gemini about that one famous 9/11 joke from late Norm MacDonald and it got really iffy about answering. Told it that hey I'm not american and in our culture it's not such a taboo. But yes, they do have similar constraints.
libertine 6mo ago
Any source for this?
- windexh8er 6mo ago
  Basically any frontier model right now and ask it any politically divisive fact that may upset certain classes of people.
  - libertine 6mo ago
    For example? Because for Deepseek is pretty straightforward censorship.
    - rotis 6mo 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 6mo 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.

deleted 6mo ago

[deleted]

US models align with our "average" (western) values. If we outsource thinking by using LLMs, why would we outsource it to an LLM that doesn't have our values encoded in it?

HDBaseT 6mo ago
[dead]

pimeys 6mo ago

I remember asking Gemini about that one famous 9/11 joke from late Norm MacDonald and it got really iffy about answering. Told it that hey I'm not american and in our culture it's not such a taboo. But yes, they do have similar constraints.

libertine 6mo ago

Any source for this?

windexh8er 6mo ago
Basically any frontier model right now and ask it any politically divisive fact that may upset certain classes of people.
- libertine 6mo ago
  For example? Because for Deepseek is pretty straightforward censorship.
  - rotis 6mo 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 6mo 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.