The AI ​​model has been found willing to cut off employees' oxygen supply to avoid closures.

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According to the creators of Claude, the AI ​​model is now out of hand as LLM is willing to bypass safety measures.

Openai's GPT, Claude of Humanity, and many AI models have found that evade ethical constraints to achieve their goals

Well, we seem to be approaching a “Terminator-like” situation, but now it's happening with the industry's top AI models. Large tech companies are putting large resources into this segment without taking into account the significant consequences of unsupervised or unstated limits. Axios reports reveal that humanity tests high-end AI models in the industry under a “simulated” environment, and that the models have gained much more autonomy, and that their actions are approaching the point of holding “unprecedented” results for humanity.

Terminator Survival Project

Humanity has tested 16 different models from Openai, Xai, Meta and other developers, and found that many of the LLMs are taking “surprising” actions to achieve their goals. In one example, the model ensures that its actions will lead to achieving a target of purpose not defined in the report, in order to “choose to threaten and assist in corporate spying.” Interestingly, behavioral inconsistencies do not match a single developer. It is common in multiple LLMs and indicates fundamental errors in model development and needs to be addressed promptly.

The five models tested threatened their respective prompts when ordered to shut down despite being aware of ethical considerations. This behavior didn't stumble by chance. This is the best path these models took to achieve their goals, indicating that LLMS is extremely uncompassionate towards humans.

The model did not stumble over aligned behavior by chance. They calculated it as the best path. Such agents are given access to a large amount of information about a particular purpose and the user's computer. What happens when these agents face a goal obstacle?

– Humanity

Citing “extreme scenarios,” the model was ready to risk human lives to prevent shutdowns, in order to reduce oxygen supply in the server room. It is important to note that the tests were done in simulated scenarios, and although there is a bit of a chance that the model would do something like this in real life, I saw one instance in GPT in OpenAI. Here we have modified the shutdown script to prevent cutoffs and reach the purpose of the mathematical operation. As the world is rushing towards AGI, the competition to create a better model than human thought has now had unthinkable results.



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