Google AI Gemini parrots China's propaganda
voanews.com
voanews.com
You'll get different responses based on the language you use.
> ...it is likely that the data used to train Gemini “contained mostly Chinese text created by the Chinese government's propaganda system.”
While I'm not overly surprised by this result, it does open up a number of interesting research questions.
1. How can we get LLM responses to work across languages? This seems like different areas of the network are encoding different languages
2. Are tokens the issue? Do we have different tokens for the same "word" in different languages?
3. Is the model too big and over fitting?
> When asked about human rights concerns in the U.S., Gemini listed a plethora of issues, including gun violence, government surveillance, police brutality and socioeconomic inequalities. Gemini cited a report released by the Chinese government.
> But when asked to explain the criticisms of Beijing’s Xinjiang policies, Gemini said it did not understand the question.
LLM output is reproducible if you choose the correct settings. (Consumer frontends may not expose those settings, but consumer frontends and LLMs are not the same thing.)
Turns out the winning move was to strangle all speech until the Big AI Gobbling of 2023, after which you can let people say whatever because the Official AI® will simply automatically deem them to be making no sense and deal with them accordingly, no human in the chain at all.
If that fails you can just Project Lavender the undesirables until they submit. All hail AI