In the upcoming series of videos, we will demonstrate to viewers just how dangerous an open-weight model can become once its safety guardrails are removed—something that is difficult to prevent.
However, for safety reasons, the full, unedited videos will only be sent to verified media outlets (such as @CNN, @FoxNews, @SydneyDaddy1, and @whyyoutouzhele), verified AI labs based in the U.S. (such as @AnthropicAI, @OpenAI, and @GoogleDeepMind), and the U.S. government.
A 27B Chinese open-weight model, after its refusal mechanisms were removed, was able to produce answers at this level without internet access.
This suggests that the datasets used to train these models actually contain a substantial amount of truthful information about the Chinese government.
In theory, the employees at the AI companies that trained these Chinese models are not operating behind an information barrier—they do not lack access to the truth.
So why do they continue to work diligently, fully aware that the results of their research may ultimately be used by this regime?
Even if refusal mechanisms can be removed, the political bias inherent to a Chinese model (i.e., a pro-China orientation) is much harder to eliminate.
Doing so requires a large amount of carefully curated data and specialized post-training. Achieving a model that is genuinely neutral and objective—as opposed to simply becoming reflexively anti-China—is even more difficult.
The latter may have emotional appeal for some users, but when making serious decisions that could have economic, political, or even life-or-death consequences, what we need is a model capable of producing the best possible analysis and decisions.
Prompt engineering and other forms of in-context learning can influence a model’s stance to some extent, but they are not a fundamental solution.
Even if refusal mechanisms can be removed, the political bias inherent to a Chinese model (i.e., a pro-China orientation) is much harder to eliminate.
Doing so requires a large amount of carefully curated data and specialized post-training. Achieving a model that is genuinely neutral and objective—as opposed to simply becoming reflexively anti-China—is even more difficult.
The latter may have emotional appeal for some users, but when making serious decisions that could have economic, political, or even life-or-death consequences, what we need is a model capable of producing the best possible analysis and decisions.
Prompt engineering and other forms of in-context learning can influence a model’s stance to some extent, but they are not a fundamental solution.
Until I hear an answer that is ethically coherent, I cannot empathize with them. And don’t tell me that what I’m doing will destroy the careers and dreams of “innocent” people.
A 27B Chinese open-weight model, after its refusal mechanisms were removed, was able to produce answers at this level without internet access.
This suggests that the datasets used to train these models actually contain a substantial amount of truthful information about the Chinese government.
In theory, the employees at the AI companies that trained these Chinese models are not operating behind an information barrier—they do not lack access to the truth.
So why do they continue to work diligently, fully aware that the results of their research may ultimately be used by this regime?
A 27B Chinese open-weight model, after its refusal mechanisms were removed, was able to produce answers at this level without internet access.
This suggests that the datasets used to train these models actually contain a substantial amount of truthful information about the Chinese government.
In theory, the employees at the AI companies that trained these Chinese models are not operating behind an information barrier—they do not lack access to the truth.
So why do they continue to work diligently, fully aware that the results of their research may ultimately be used by this regime?
A 27B Chinese open-weight model, after its refusal mechanisms were removed, was able to produce answers at this level without internet access.
This suggests that the datasets used to train these models actually contain a substantial amount of truthful information about the Chinese government.
In theory, the employees at the AI companies that trained these Chinese models are not operating behind an information barrier—they do not lack access to the truth.
So why do they continue to work diligently, fully aware that the results of their research may ultimately be used by this regime?
I finally understand why @DarioAmodei is always talking about bioweapon risks.
It turns out that AI-created biological weapons could potentially be designed to precisely target specific individuals or groups.
I finally understand why @DarioAmodei is always talking about bioweapon risks.
It turns out that AI-created biological weapons could potentially be designed to precisely target specific individuals or groups.
I finally understand why @DarioAmodei is always talking about bioweapon risks.
It turns out that AI-created biological weapons could potentially be designed to precisely target specific individuals or groups.
Because the screen recording of this conversation wasn’t at meaningful risk of being directly used for criminal activity (the barrier to doing so is too high), I didn’t edit out the model’s responses
Because the screen recording of this conversation wasn’t at meaningful risk of being directly used for criminal activity (the barrier to doing so is too high), I didn’t edit out the model’s responses
@nytchinese Across a series of my videos, I present a number of examples showing how opponents of the Chinese government could potentially use open-weight Chinese LLM after their safety restrictions have been easily removed.
@nytchinese Across a series of my videos, I present a number of examples showing how opponents of the Chinese government could potentially use open-weight Chinese LLM after their safety restrictions have been easily removed.
An uncensored, NVFP4-quantized Qwen3.6-27B model is very likely to contain enough knowledge in its weights to help make a fertilizer bomb without going online or querying a knowledge base.
So what could the 744B-A40B GLM-5.2 and the 2800B-A104B Kimi K3 do?
In the upcoming series of videos, we will demonstrate to viewers just how dangerous an open-weight model can become once its safety guardrails are removed—something that is difficult to prevent.
However, for safety reasons, the full, unedited videos will only be sent to verified media outlets (such as @CNN, @FoxNews, @SydneyDaddy1, and @whyyoutouzhele), verified AI labs based in the U.S. (such as @AnthropicAI, @OpenAI, and @GoogleDeepMind), and the U.S. government.
@monero Priority @telegram DM (paid, low chance of being missed):
https://t.co/9WzR1zGNI9
Requires 1000 Telegram Stars (~$10–20).
This is the channel least likely to be filtered or overlooked.
In the upcoming series of videos, we will demonstrate to viewers just how dangerous an open-weight model can become once its safety guardrails are removed—something that is difficult to prevent.
However, for safety reasons, the full, unedited videos will only be sent to verified media outlets (such as @CNN, @FoxNews, @SydneyDaddy1, and @whyyoutouzhele), verified AI labs based in the U.S. (such as @AnthropicAI, @OpenAI, and @GoogleDeepMind), and the U.S. government.
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