The AI safety community needs to address the societal impacts of job automation alongside the technical risks posed by AI systems.

The original concerns about AI were about existential risks, but the conversation has shifted to societal risks, which often intertwine with political issues.

While AI poses existential risks, I believe these risks are not immediate; future generations will face challenges as AI approaches higher levels of intelligence.

Misuse and misalignment are both significant problems, and we need to address them simultaneously to ensure a safe future with AI.

We are committed to actually trying to solve the real problems associated with AI safety, including misuse and misalignment risks.

Mitigations suggested for AI control often overlap with those that responsible AI developers already implement to ensure robustness.

AI control is an approach to mitigating AI misalignment, addressing the risk that AI models may have goals that differ from human goals.

The incentives driving AI development are overwhelmingly pushing towards a lack of containment, especially in the short and midterm, which often leads to unintended consequences.

The rapid development of AI brings both amazing benefits and significant risks, similar to the effects of social media on youth mental health. We must be proactive in addressing these challenges before they escalate.