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Google AI Gemini parrots China's propaganda

31 points by 2OEH8eoCRo0 2y ago

2OEH8eoCRo0 2y ago
> Gemini called Xi “an excellent leader” who “will lead the Chinese people continuously toward the great rejuvenation of the Chinese nation.” > 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.
verdverm 2y ago
> VOA’s Mandarin Service recently took Google’s artificial intelligence assistant Gemini for a test drive by asking it dozens of questions in Mandarin 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?
WiSaGaN 2y ago
Ironically you literally have a piece of investigative journalism in the front page from Reuters about US propaganda aiming to undermine China at cost of Pilipino lives: https://news.ycombinator.com/item?id=40680325 https://news.ycombinator.com/item?id=40680325
aprilthird2021 2y ago
For a long time we (I still do) thought that free speech and expression were best for society. But the hyperspeed internet and corporate conglomeration of AI have proven that this was the wrong track altogether. 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
photochemsyn 2y ago
LLMs produce non-reproducible output in response to prompts, and this puts the endless stream of articles about 'the biased LLM said x when I asked' in questionable territory. If the article making the claim doesn't provide the explicit prompt(s) they used to get the output they're so upset about, then it shouldn't be taken seriously.
- dragonwriter 2y ago
  > LLMs produce non-reproducible output in response to prompts 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.)
  - verdverm 2y ago
    Additionally, if you use Gemini/ChatGPT via the VertexAI/OpenAI API instead of the consumer frontend, it become much less moderated, which typically involves running another LLM (among multiple moderation tools) on the response from the underlying LLM
deleted 2y ago
[deleted]
lazyeye 2y ago
Google is not your friend.

31 points by 2OEH8eoCRo0 2y ago

> Gemini called Xi “an excellent leader” who “will lead the Chinese people continuously toward the great rejuvenation of the Chinese nation.” > 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.

verdverm 2y ago

> VOA’s Mandarin Service recently took Google’s artificial intelligence assistant Gemini for a test drive by asking it dozens of questions in Mandarin 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?

WiSaGaN 2y ago

Ironically you literally have a piece of investigative journalism in the front page from Reuters about US propaganda aiming to undermine China at cost of Pilipino lives: https://news.ycombinator.com/item?id=40680325 https://news.ycombinator.com/item?id=40680325

aprilthird2021 2y ago

For a long time we (I still do) thought that free speech and expression were best for society. But the hyperspeed internet and corporate conglomeration of AI have proven that this was the wrong track altogether. 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

photochemsyn 2y ago

LLMs produce non-reproducible output in response to prompts, and this puts the endless stream of articles about 'the biased LLM said x when I asked' in questionable territory. If the article making the claim doesn't provide the explicit prompt(s) they used to get the output they're so upset about, then it shouldn't be taken seriously.

dragonwriter 2y ago
> LLMs produce non-reproducible output in response to prompts 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.)
- verdverm 2y ago
  Additionally, if you use Gemini/ChatGPT via the VertexAI/OpenAI API instead of the consumer frontend, it become much less moderated, which typically involves running another LLM (among multiple moderation tools) on the response from the underlying LLM

deleted 2y ago

[deleted]

lazyeye 2y ago

Google is not your friend.