"Self-improvement": Researchers warn of a new phase in the development of artificial intelligence and identify a "turning point


 

Artificial intelligence researchers have warned that the world may be developing a "new kind" of super-intelligent machines, stressing the need to avoid losing control over them, while disagreeing on the best way to regulate the sector.

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During a debate organized by the New York Post, Oren Etzioni, a professor at the University of Washington and an entrepreneur in the field of artificial intelligence, said that he was wrong about how long some developments would take, noting that they were coming sooner than he expected and at a pace that was difficult to predict.

Max Tegmark, founder of the "Future of Life Institute," expressed his surprise at the lack of intervention by the authorities, warning that artificial intelligence is reaching a stage of "iterative self-improvement," where it can improve itself and surpass humans in artificial intelligence research.

The researchers agreed that limiting and isolating system permissions, so that different machines handle specific tasks, is one of the simplest ways to reduce risk. Etzioni advocated for developing specialized models rather than all-encompassing, super-intelligent systems, while Tegmark argued that machines should only have the permissions they need to perform their tasks.

Despite the Trump administration's insistence on not intervening to limit artificial intelligence, it announced on September 19 the appointment of a new AI advisor and the creation of an "AI Task Force." The companies Anthropic and OpenAI also called for greater regulation.

Tegmark and Etzioni criticized the idea of "self-regulation" for companies, and called for a regulatory body similar to the US Food and Drug Administration (FDA), which would set basic standards before allowing companies to profit from their technologies.

Tegmark said he has become more optimistic as the issue of regulating artificial intelligence has become a major concern, after bringing together figures in Washington including Bernie Sanders and Steve Bannon to discuss the need for regulation.

But Etzioni warned against the regulation of artificial intelligence becoming a "political tool" exploited by parties to achieve their goals, calling for good solutions instead of populist ones.

Etzioni believes that the American push to regulate artificial intelligence could allow China to overtake the United States, saying that he does not trust the Chinese government and that Washington should be mindful of the competition with it.

In contrast, Tegmark believes that China may reach the same conclusion, namely that super-intelligent artificial intelligence may conflict with the interests of all countries, and therefore it too may seek to avoid losing control over it.

The disagreement between the researchers reveals a clear paradox: Tegmark, who was previously more pessimistic, has become more optimistic, while Etzioni, who was optimistic, has become more cautious about the direction in which artificial intelligence is heading.

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