The artificial intelligence sector has expanded at breakneck speed over the past year, but that pace is now prompting some leading developers to argue for a slower approach and tighter oversight. According to The Wall Street Journal, companies at the front edge of AI research are calling for development to slow and for stronger regulation and supervision.
That shift may not hit enterprise customers of major AI firms such as Anthropic and OpenAI in the same way. Businesses typically deploy models that have already been commercialized and whose capabilities are better understood by the market, rather than using the most advanced systems available.
Stephen Messer, co-founder of Collective, said most companies are not using cutting-edge models. Some are still working with versions released two years ago, and those tools remain sufficient for the tasks they need to complete. He added that some users still do not know how to prompt models effectively, which means a slowdown in AI research would likely have only a limited effect on many enterprise users.
The AI sector has gone through explosive growth over the past year, but that speed has left leading developers struggling to keep up. According to The Wall Street Journal, some of those companies are now calling for research to slow and for tighter regulation and oversight.
That does not appear likely to affect customers of major AI companies such as Anthropic and OpenAI in the same way as the AI safety concerns that surfaced earlier. Businesses usually deploy models that have already been commercialized and whose capabilities are relatively well understood by the market.
Those models may not sit at the absolute frontier of AI development, but they are already powerful enough to handle the tasks companies assign to them.
Stephen Messer, co-founder of Collective, said most companies are not using the most advanced models. Some may still be using versions from two years ago, and those models are already sufficient for the work they are doing.
He also said some users still do not know how to prompt models effectively. In that case, a slowdown in AI development would not have much impact on them.
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