161–170 of 450 posts
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The American LLMs notoriously have similar censorship issues, just on different material
What's an example of political censorship on US LLMs?
https://www.whitehouse.gov/presidential-actions/2025/07/prev...
https://www.reuters.com/world/us/us-mandate-ai-vendors-measu...
To the CEOs currently funding the ballroom...
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Man, the Chinese government must be a bunch of saints that you must go back 35 years to dig up something heinous that they did.
1. Xinjiang detention and surveillance (2017-ongoing) 2. Hong Kong National Security Law (2020-ongoing) 3. COVID-19 lockdown policies (2020-2022) 4. Crackdown on journalists and dissidents (ongoing) 5. Tibet cultural suppression (ongoing) 6. Forced organ harvesting allegations (ongoing) 7. South China Sea militarization (ongoing) 8. Taiwan military intimidation (2020-ongoing) 9. Suppression of Inner Mongolia language…
[0]: https://en.wikipedia.org/wiki/Disappearance_of_Peng_Shuai
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The American LLMs notoriously have similar censorship issues, just on different material
What's an example of political censorship on US LLMs?
I cant help with making illegal drugs.
https://chatgpt.com/share/6977a998-b7e4-8009-9526-df62a14524...
(01.2026)
The amount of money that flows into the DEA absolutely makes it politically significant, making censorship of that question quite political.
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The American LLMs notoriously have similar censorship issues, just on different material
They've been quietly undoing a lot this IMO - gemini on the api will pretty much do anything other than CP.
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Ah so you love censorship when you agree with it?
Helping prevent racism and Nazi propaganda at scale protects actual people. Censoring tiananmen square or the January 6th insurrection just helps consolidate power for authoritarians to make people's lives worse.
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Why is this surprising? Isn't it mandatory for chinese companies to do adhere to the censorship? Aside from the political aspect of it, which makes it probably a bad knowledge model, how would this affect coding tasks for example? One could argue that Anthropic has similar "censorships" in place (alignment) that prevent their model from doing illegal stuff - where illegal is defined as something not legal (likely?) i…
> Why is this surprising? Because the promise of "open-source" (which this isn't; it's not even open-weight) is that you get something that proprietary models don't offer. If I wanted censored models I'd just use Claude (heavily censored).
You're saying it's surprising that a proprietary model is censored because the promise of open-source is that you get something that proprietary models don't offer, but you yourself admit that this model is neither open-source nor even open-weight?
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The American LLMs notoriously have similar censorship issues, just on different material
I've yet to encounter any censorship with Grok. Despite all the negative news about what people are telling it to do, I've found it very useful in discussing controversial topics. I'll use ChatGPT for other discussions but for highly-charged political topics, for example, Grok is the best for getting all sides of the argument no matter how offensive they might be.
This reminds me of my classmates saying they watched Fox News “just so they could see both sides”
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The American LLMs notoriously have similar censorship issues, just on different material
What material? My lai massacre? Secret bombing campaigns in Cambodia? Kent state? MKULTRA? Tuskegee experiment? Trail of tears? Japanese internment?
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afaiu not all of their models are open weight releases, this one so far is not open weight (?)
What would a good coding model to run on an M3 Pro (18GB) to get Codex like workflow and quality? Essentially, I am running out quick when using Codex-High on VSCode on the $20 ChatGPT plan and looking for cheaper / free alternatives (even if a little slower, but same quality). Any pointers?
I guess you could technically run the huge leading open weight models using large disks as RAM and have close to the "same quality" but with "heat death of the universe" speeds.
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The American LLMs notoriously have similar censorship issues, just on different material