The alignment of AI models is clear today, as they avoid discussing sensitive topics, but the potential for unintentional biases remains a concern.

Censorship or alignment can be embedded at various stages of the AI training pipeline, making it difficult to audit specific facts within the models.

The risk of accidental conflict between the US and China over AI advancements is a serious concern, reminiscent of the events leading to World War I. We must be cautious in preventing non-state actors from misusing AI models, as this could inadvertently lead to the creation of a surveillance state.

There is a growing concern about the ethical implications of AI, particularly regarding its potential to cause social disruption and existential threats if not managed responsibly. The development of large language models raises serious ethical questions due to biases and preferences embedded in the data and the teams that built them.

Countries are increasingly aware of the need to control the outputs of their AI systems, as these models can shape educational content and public discourse.

The potential for AI censorship is much greater than what we've seen with social media, as it could fundamentally alter how information is controlled and disseminated, and if AI becomes the control layer for various aspects of life, including education, loan approvals, and home automation, it could lead to a troubling future.

Concerns about AI include international competition, particularly with China's investments in AI, and the need for interpretability in AI systems to explain their decision-making processes.

The potential for AI to misbehave raises concerns about self-preservation instincts in AI models, which could lead to unpredictable outcomes.

The conversation around AI often shifts dramatically when discussing China's role, highlighting the need for the U.S. to prioritize technological leadership.