Artificial Intelligence Needs Open-Source Models to Reach Its Potential

null By Kai-Fu LeeNov. 29, 2023 4:32 pm ETSpeaking to a Senate subcommittee on May 16, 2023, OpenAI CEO Sam Altman, IBM chief privacy officer Christina Montgomery and NYU professor emeritus Gary Marcus gave suggestions for regulating the AI industry—and highlighted the associated perils. Images: AFP/Getty Images/Reuters Composite: Mark KellyJohannes Gutenberg’s printing press revolutionized life in the 15th century, making it possible for ideas to travel around the world at previously unimaginable speeds and creating huge gains for mankind. Gutenberg tried to keep his technique a secret, but a disgruntled former investor, Johann Fust, soon replicated his device. Fust launched his own press and poached Gutenberg’s top techie, Peter Schoeffer. It was lucky for the rest of us that he did. Imagine if the printing press had been kept secret and controlled by one company, or confined within one nation. Centuries of human progress might never have happened. It’s an imperfect analogy, but it

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Artificial Intelligence Needs Open-Source Models to Reach Its Potential
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Nov. 29, 2023 4:32 pm ET

Speaking to a Senate subcommittee on May 16, 2023, OpenAI CEO Sam Altman, IBM chief privacy officer Christina Montgomery and NYU professor emeritus Gary Marcus gave suggestions for regulating the AI industry—and highlighted the associated perils. Images: AFP/Getty Images/Reuters Composite: Mark Kelly

Johannes Gutenberg’s printing press revolutionized life in the 15th century, making it possible for ideas to travel around the world at previously unimaginable speeds and creating huge gains for mankind. Gutenberg tried to keep his technique a secret, but a disgruntled former investor, Johann Fust, soon replicated his device. Fust launched his own press and poached Gutenberg’s top techie, Peter Schoeffer.

It was lucky for the rest of us that he did. Imagine if the printing press had been kept secret and controlled by one company, or confined within one nation. Centuries of human progress might never have happened. It’s an imperfect analogy, but it offers a useful way to frame the current debate around artificial intelligence.

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