warned of “profound risks to society and humanity.” The letter argued the pause would provide time to implement “shared safety protocols” for AI systems. “If such a pause cannot be enacted quickly, governments should step in and institute a moratorium,” they posited.
“One way we can absolutely encourage the people to stay in the loop is to involve them in the development of AI from the start, which is why we believe in decentralizing AI technology. Whether it’s people training AI from the start or having them test and validate AI systems, ensuring regular people can take ownership of the AI model is a strong way to keep humans in the loop. And we want to do this while keeping this democratization grounded in proper incentivization mechanisms.
Goertzel notes that “you can’t buy and sell someone else’s reputation,” and tokens have network effects. Blockchain-based reputation systems for AI can ensure consumers can tell the difference between AI fakes and real people but also ensure transparency so that AI model builders can be held accountable for their AI constructions. In this view there needs to be some standard for tokenized measurement of reputation adopted across the blockchain community and then the mainstream tech ecosystem.
The public doesn’t know what data was used to train ChatGPT-4, so even though the algorithms are public, the AI can’t be replicated. Various people have theorized it was trained using data sets including Google and Twitter — meanwhile, Google denied it trained its own AI called Bard with data and conversations with ChatGPT, further muddying the waters of who owns what and how.
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