AI assistants have not yet fully adapted to this world, or rather, there are still considerable real-world risks.
In practical applications, they can be used for supporting black and gray industries, money laundering tools, gambling websites, adult websites, and even various automated fraud systems. From a technical capability perspective, AI has already been able to complete a large number of tasks that originally required a technical team, which means that many things that previously had a high threshold can now be achieved simply by knowing how to use AI. But the problem lies here. While AI lowers the production threshold, it also lowers the threshold for wrongdoing. The current regulatory system, platform risk control, and technical limitations have not completely kept pace with the expansion speed of AI capabilities.
In terms of usability, stability, and safety, truly mature AI assistants will likely need 1 to 5 years to gradually improve. During this future phase, there may be more discussions about AI governance, accountability, and regulatory frameworks.
Two years ago, it was discussed that after AI + automation + encrypted financial systems gradually combine, a new organizational form might even emerge, similar to the structure of "unmanned companies": AI is responsible for production, operation, and decision-making, automated systems execute tasks, blockchain is responsible for fund settlement and rule execution, and humans only provide minimal supervision. The Ai+DAO organizational model will become a brand new business form, and for countries lacking cryptocurrency technology, there will naturally be a decrease in economic growth.
Once the Ai+DAO model matures commercially, it will not only change the organizational structure of businesses but may also have a significant impact on existing regulatory systems and social structures. Perhaps many international charitable organizations will be the first to implement the Ai+DAO organizational structure.
People often talk about lobsters, and lobsters have given many people a new insight, but we must admit that lobsters are still not perfect, at least for now.
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