AI developers must prioritize trust building to ensure the increasingly powerful technology is developed responsibly and potential negative consequences are considered. The danger of a race for AI development resulting in the closing and withholding of ideas is a possible threat to the field.
The trust issue of AI can be resolved by limiting its control through private keys and blockchains, allowing for the creation of guardrails and boundaries that cannot be surpassed without proper authorization mechanisms. This would provide users with a sense of security and improve the adoption of advanced AI technologies.
The emotional attachments people have with AI and the friction in its development process is often overlooked. The path to AI upending our social world is thinner than what people would like to believe.
Information technology has lowered communication and transaction costs, allowing for gig economies to become a more present option for freelancers. This can be a positive development for creatives as they become less reliant on traditional corporate structures and can more easily find jobs through social media and online platforms.
It is crucial for AI agents to interact with a broader range of humans to learn about their preferences, as it goes beyond engineering and technology and starts to affect the kind of society we want to live in.
While the arrival of artificial general intelligence may still be far off, the scaling of AI can already provide significant benefits, such as assisting those who lack resources or knowledge.