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Article summary:

1. Gradual deployment and careful stewardship of AGI: The article emphasizes the importance of gradually deploying more powerful AI systems to gain real-world experience and ensure a smooth transition to a world with AGI. This approach allows for understanding, adaptation, and regulation of AI systems while minimizing risks.

2. Navigating AI deployment challenges through rapid learning and iteration: The article highlights the need for a tight feedback loop of continuous learning and careful iteration to address major questions related to AI systems, such as combatting bias, dealing with job displacement, and making optimal decisions based on evolving technology paths.

3. Democratized access to AI for more benefits and contributions: The article promotes the idea that increased usage of AI in the world will lead to positive outcomes. It advocates for democratized access to AI models, open-sourcing them, and encouraging broader participation in research. This approach is believed to foster decentralized power, generate more benefits, and encourage a diverse range of people to contribute innovative ideas.

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