The Wall Street Journal • 1:56 • intermediate • Technology
Q1. What was the main concern of tech CEOs regarding AI regulation?
6 words to learn — tap cards to flip and save favorites.
/ˌoʊvərˈrɛɡjʊˌleɪt/
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Definition
To impose excessive regulations or controls on a particular industry or activity.
Example
The government was warned not to overregulate the tech industry, as it could stifle innovation.
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/pəˈtɛnʃəl/
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Definition
Having the capacity to develop into something in the future; possible.
Example
The potential of AI technology to transform education is immense.
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/ˈæd.və.keɪt/
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A person who publicly supports or recommends a particular cause or policy.
Example
Many tech leaders are advocates for open-source technology.
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/ˈhɪndər/
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To create difficulties for someone or something, resulting in a delay or obstruction.
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A lack of funding could hinder the project's progress significantly.
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/ˌhaɪpəˈθɛtɪkəl/
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Based on or serving as a hypothesis; supposed but not necessarily real or true.
Example
The discussion included several hypothetical scenarios about the future of AI.
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/ˈbækˌlæʃ/
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A strong negative reaction by a large number of people, especially to a social or political development.
Example
The new policy faced a backlash from the community, leading to protests.
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I'm at the Carolina Inn on the campus of UNCC Chapel Hill in North Carolina where tech leaders, Trump administration officials, and global officials just wrapped up a two-day summit focused on innovation and technology for the G20. The event
here showcased the close ties between the tech industry and the Trump administration. You had Jensen Huang, Mark Zuckerberg, Alex Karp of Palunteer, Sam Alman of Open AI, Elon Musk, and others speaking [music] and appearing and showing their support
for this administration's agenda. The message from tech CEOs like Jensen Wong of Advidia and Mark Zuckerberg of Meta was simple. They asked global leaders not to overregulate AI given the technologies potential to juice economic growth around the world
and potentially cure diseases and bring education to millions and millions of people. The AI CEOs are worried that recent incidents of cyber security hacks and other threats could fuel worry around the world and limit the AI industry's growth
moving forward. Right now the technology is in its formative stages and and the um uh the advice uh that I would have is is um uh to regulate practical and actual arm and not uh uh regulate theoretical and
hypothetical. There's also been a lot of discussion here about openw weight models. China has released very advanced openweight models and companies like Meta are trying to do so as well here in the US. We're very strong advocates that
um open source shouldn't be something that um that people try to restrict or lock down. I think it's a very important part of creating a good future for everyone. Many in the US are worried about a nationwide backlash
against data centers that are needed to power AI models and executives caution that a lack of data centers could really hinder the sector's growth. And we know from our conversations and other reporting that officials in other countries are
worried about having to choose between models from the US and cheaper open rate models from China. And expect that to be a topic of discussion in the coming weeks and months.