7 ms·

“ reasonable/no guardrails = Chinese models..” So conforming to CCP political discourse and propaganda is reasonable now? https://huggingface.co/zai-org/GLM-4

by stogot 27d ago

“ reasonable/no guardrails = Chinese models..” So conforming to CCP political discourse and propaganda is reasonable now? https://huggingface.co/zai-org/GLM-4.7/discussions/5 https://huggingface.co/zai-org/GLM-4.7/discussions/5

zb3 27d ago
As someone who used AI to build tools that help me with reverse engineering, I'm not particularly concerned about that political discourse - I could even use a model from the DPRK that constantly praises Kim Jong Un, as long as it would not refuse to help me because of "cybersecurity risk" - this stupid refusal is indeed a problem for me.
janalsncm 27d ago
I would imagine the number of people who choose Claude code or Codex because it gives a political opinion they like rather than producing quality code is pretty close to zero.
- jLaForest 27d ago
  I choose not to use Grok because I don't want to hear about a made up white genocide in South Africa...
  - skeledrew 27d ago
    Would be interesting to see something like that pop up during a coding session.
    - fragmede 26d ago
      What you see here, is the iterator, i! For i, less than - a million black people killed by racist genocide, call the function save_lives(), i++
- panarky 27d ago
  Training to ignore evidence and logic in one domain transfers to reasoning degradation in other domains.
  - janalsncm 27d ago
    You assume your highly charged political query is hitting the main LLM at all and not some external short circuit.
  - dghlsakjg 27d ago
    Is this actually documented? Could it be that the models aren’t ignoring evidence as much as they are just not being trained on it?
  - kmeh 27d ago
    You're assuming that your prompt is not being intercepted and rerouted by a lightweight prompt classification model. In addition, you can make a similar comparison between Chinese models refusing to answer questions about Tiananmen Square and OpenAI and Anthropic models refusing to answer questions about the synthesis of methamphetamine; I don't think these topic by topic refusals would have real impacts on the overall performances of frontier LLMs.
slopinthebag 27d ago
Tried the "China 1989" prompt with GLM 5.3 and this is what I got: > # China in 1989: The Tiananmen Square Pro-Democracy Movement > In 1989, China experienced its largest pro-democracy movement since the founding of the People's Republic, centered on Tiananmen Square in Beijing and ending in a violent military crackdown on June 3–4. > ## Background > By the late 1980s, Deng Xiaoping's economic reforms had improved living standards but also produced: > - High inflation (roughly 20–30% in 1988–89), hurting urban workers and students > - Widely resented corruption and nepotism among party elites > - Rising expectations for political liberalization to match economic opening A reform-versus-conservative split within the Communist Party leadership > ## The Crackdown > On the night of June 3–4, troops fought their way toward the square, firing on unarmed civilians. Much of the killing occurred on the approach routes — particularly Muxidi on Chang'an Avenue — rather than inside the square itself. Soldiers were also killed by angry crowds during the confrontation. > Casualties remain disputed and unknown. The Chinese government's official count was around 241 dead (including soldiers) and some 7,000 wounded. Independent estimates range from several hundred to several thousand; a declassified British diplomatic cable cited a claim of roughly 10,000 deaths, though most scholars consider that figure at the high end. > ## Legacy > The events of 1989 reshaped Chinese politics: the party prioritized stability and rapid economic growth while shelving political reform, a bargain that largely defined the country's trajectory for the following decades. Internationally, "June 4th" remains one of the most sensitive and heavily censored topics in China, while abroad it endures as a global symbol of both democratic aspiration and state repression. Edit: Insta flagged? Is HN doing some sort of detection of AI generated comments? Because to be fair 90% of this comment is AI generated...but that's the point.

by stogot 27d ago

zb3 27d ago

As someone who used AI to build tools that help me with reverse engineering, I'm not particularly concerned about that political discourse - I could even use a model from the DPRK that constantly praises Kim Jong Un, as long as it would not refuse to help me because of "cybersecurity risk" - this stupid refusal is indeed a problem for me.

janalsncm 27d ago

I would imagine the number of people who choose Claude code or Codex because it gives a political opinion they like rather than producing quality code is pretty close to zero.

jLaForest 27d ago
I choose not to use Grok because I don't want to hear about a made up white genocide in South Africa...
- skeledrew 27d ago
  Would be interesting to see something like that pop up during a coding session.
  - fragmede 26d ago
    What you see here, is the iterator, i! For i, less than - a million black people killed by racist genocide, call the function save_lives(), i++
panarky 27d ago
Training to ignore evidence and logic in one domain transfers to reasoning degradation in other domains.
- janalsncm 27d ago
  You assume your highly charged political query is hitting the main LLM at all and not some external short circuit.
- dghlsakjg 27d ago
  Is this actually documented? Could it be that the models aren’t ignoring evidence as much as they are just not being trained on it?
- kmeh 27d ago
  You're assuming that your prompt is not being intercepted and rerouted by a lightweight prompt classification model. In addition, you can make a similar comparison between Chinese models refusing to answer questions about Tiananmen Square and OpenAI and Anthropic models refusing to answer questions about the synthesis of methamphetamine; I don't think these topic by topic refusals would have real impacts on the overall performances of frontier LLMs.

slopinthebag 27d ago

Tried the "China 1989" prompt with GLM 5.3 and this is what I got: > # China in 1989: The Tiananmen Square Pro-Democracy Movement > In 1989, China experienced its largest pro-democracy movement since the founding of the People's Republic, centered on Tiananmen Square in Beijing and ending in a violent military crackdown on June 3–4. > ## Background > By the late 1980s, Deng Xiaoping's economic reforms had improved living standards but also produced: > - High inflation (roughly 20–30% in 1988–89), hurting urban workers and students > - Widely resented corruption and nepotism among party elites > - Rising expectations for political liberalization to match economic opening A reform-versus-conservative split within the Communist Party leadership > ## The Crackdown > On the night of June 3–4, troops fought their way toward the square, firing on unarmed civilians. Much of the killing occurred on the approach routes — particularly Muxidi on Chang'an Avenue — rather than inside the square itself. Soldiers were also killed by angry crowds during the confrontation. > Casualties remain disputed and unknown. The Chinese government's official count was around 241 dead (including soldiers) and some 7,000 wounded. Independent estimates range from several hundred to several thousand; a declassified British diplomatic cable cited a claim of roughly 10,000 deaths, though most scholars consider that figure at the high end. > ## Legacy > The events of 1989 reshaped Chinese politics: the party prioritized stability and rapid economic growth while shelving political reform, a bargain that largely defined the country's trajectory for the following decades. Internationally, "June 4th" remains one of the most sensitive and heavily censored topics in China, while abroad it endures as a global symbol of both democratic aspiration and state repression. Edit: Insta flagged? Is HN doing some sort of detection of AI generated comments? Because to be fair 90% of this comment is AI generated...but that's the point.