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Qwen3-Max-Thinking

qwen.ai

131–140 of 450 posts

Re: Qwen3-Max-Thinking

#131

Earlier quoted context omitted.

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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.

Re: Qwen3-Max-Thinking

#132

[flagged]

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 rights (2020-ongoing)

10. Transnational repression (2020-ongoing)

Re: Qwen3-Max-Thinking

#133

Hacker News strongly believes Opus 4.5 is the defacto standard and China was consistently 8+ month behind. Curious how this performs. It’ll be a big inflection point if it performs as well as its benchmarks.

Based on their own published benchmarks, it appears that this model is at least 6 months behind.

Re: Qwen3-Max-Thinking

#135

Earlier quoted context omitted.

The American LLMs notoriously have similar censorship issues, just on different material

Qwen models will also censor any discussion of mature topics fwiw, so not much of a difference there.

Claude models also filters out mature topics, so not much of a difference there.

Re: Qwen3-Max-Thinking

#136

Earlier quoted context omitted.

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.

This suggests that the Chinese government recognises that its legitimacy is conditional and potentially unstable. Consequently, the state treats uncontrolled public discourse as a direct threat. By contrast, countries such as the United States can tolerate the public exposure of war crimes, illegal actions or state violence, since such revelations rarely result in any significant consequences. While public outrage ma…

What a meaningless statement. If information can influence elections it can change who is in power. This isn’t possible in China.

Re: Qwen3-Max-Thinking

#137

[flagged]

The American LLMs notoriously have similar censorship issues, just on different material

Good luck getting GPT models to analyze Trump’s business deals. Somehow they don’t know about Deutsche Bank’s history with money laundering either.

Re: Qwen3-Max-Thinking

#138
One thing I’m becoming curious about with these models are the token counts to achieve these results - things like “better reasoning” and “more tool usage” aren’t “model improvements” in what I think would be understood as the colloquial sense, they’re techniques for using the model more to better steer the model, and are closer to “spend more to get more” than “get more for less.” They’re still valuable, but they operate on a different economic tradeoff than what I think we’re used to talking about in tech.

Re: Qwen3-Max-Thinking

#139

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Over the past 10 years have seen extended clips of the incident which actually align with CPC analysis of Tianamen square (if that’s what’s being referred to here).

However, in deepseek, even asking for bibliography of prominent Marxist scholars (Cheng Enfu) i see text generated then quickly deleted. Almost as if DS did not want to run afowl of the local censorship of “anarchist enterprise” and “destructive ideology”. It would probably upset Dr. Enfu to no end to be aggregated with the anarchists.

https://monthlyreview.org/article-author/cheng-enfu/

Re: Qwen3-Max-Thinking

#140

Aghhh, I wished they release a model which outperforms Opus 4.5 in agentic coding in my earlier comments, seems I should wait more. But I am hopeful

The Chinese just distill western SOTA models to level up their models, because they are badly compute constrained.

If you were pulling someone much weaker than you behind yourself in a race, they would be right on your heels, but also not really a threat. Unless they can figure out a more efficient way to run before you do.

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