Professor Stuart Russell was one of more than 1,000 experts last March who signed an open letter calling for a six-month halt to development of more capable systems than OpenAI’s recently launched GPT-4 – the successor to ChatGPT. and powered by GPT-3.5. .
How do the most powerful systems work?
Sky News quoted Russell as saying: “I signed the letter because I think it has to be said that we don’t understand how these (more powerful) systems work. We don’t know what they are capable of. This means that we can’t control them.” “People are worried about misinformation and racial and gender bias in the output of these systems,” he said, adding that one of the biggest concerns is misinformation and deepfakes (videos or images of ‘a person whose face or body has been digitally altered to appear to be someone else (usually used for malicious purposes) or to spread false information).
anxiety
The expert, who is a professor of computer science at the University of California, warned that “the enormous impact of these systems is compounded by manipulating people in a way they don’t even realize is happening” . He said China, Russia and North Korea have large teams that “inject disinformation” and that by using AI “we gave them a powerful tool”. “The letter’s concern is really about the next generation of the system. Currently, systems have certain limitations in their ability to create complex schematics.” He continued, “With the next generation of systems, or the next, businesses can be run by AI systems. You can see military campaigns run by AI systems.” He added, “If you build systems more powerful than humans, how do humans maintain their power over those systems forever? That’s the real concern behind the open letter.”
convince governments
The expert underlined the need to convince governments of the need to start planning for the future as “we need to change the way our whole digital ecosystem works”. Since its release last year, ChatGPT powered by Microsoft OpenAI has urged competitors to accelerate the development of similar large language models and encouraged companies to integrate generative AI models into their products.
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