ChatGPT: The Intersection of AI and Blockchain
ChatGPT is one of the fastest-growing consumer applications that is revolutionizing the field of artificial intelligence (AI). However, the dirty secret of AI is that the successful functioning of these models depends on data, and creating, labeling, and structuring this data is expensive. The development of AI appears to be creating an exponential feedback loop where the technology is now becoming a surveillance tool. Hence, managing the human interaction in the AI loop is crucial. Experts suggest that decentralized networks must control robots when they potentially take over the world, and incentives must be created to prepare the data sets. Blockchain and tokens can help, but can they save humanity from AI?
ChatGPT: A Brute Force Hack
The founder of SingularityNET and AI researcher, Ben Goertzel, believes that ChatGPT is a hack with a certain amount of generality but without much ability to generalize. The success of ChatGPT is achieved by having a vast amount of training data, and he adds that this is not the way humans achieve breadth. ChatGPT is designed to scrape the internet but struggles to learn basic skills by predicate logic. However, large language models (LLMs) can turn language into presumptive logic, making them useful for other innovations beyond the development of AI.
Profound Risks to Society and Humanity
The intersection between blockchain and AI is economically driven, as the funding required to train AI models is prohibitively expensive, except for large organizations. Decentralization of AI technology can occur in various aspects, such as involving people in the development of AI from the start or keeping democratization grounded in proper incentivization mechanisms. Reputation systems, tokenization, and crowdsourcing bio data submissions from individuals can ensure proper data quality assurance and lead to the development of un-opinionated AI technology.
Blockchain-based governance can improve transparency, decentralized decision-making, and ensure the accountability of AI model builders. Reputation systems based on blockchain can ensure consumers can tell the difference between AI fakes and real people, and this can expedite AI innovations. There is a need for some standard for tokenized measurement of reputation adopted across the blockchain community and the mainstream tech ecosystem. The development of shared reputation systems can benefit everyone in the blockchain community.
Conclusion
The intersection of blockchain and AI presents great potential, and the integration of these technologies represents a significant leap forward in the democratization of technology and access to finance. However, it is crucial to address the profound risks of AI to society and humanity. AI must be democratically controlled and monitored via proper governance mechanisms. Reputation systems, tokenization, and crowdsourcing bio data submissions can ensure quality assurance, transparency, decentralization, and accountability of AI model builders. Blockchain-based reputation systems for AI can be part of the blockchain community’s shared reputation systems and expedite AI innovations. The future of blockchain and AI depends on whether we can create standardization and incentivization mechanisms that democratize these technologies.
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