America’s AI Debate Keeps Returning To The Same Key Question

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America’s AI debate keeps returning to the same question: how do we keep China from catching us at the frontier?

It is the right question, but the answer that many consider is too narrow. Several policymakers point to semiconductor chips and their high computing power as the chokepoint limiting China’s AI development.

Yet chips are only one factor in the full technological stack, which includes memory, energy, cloud infrastructure, models, applications, developers, edge devices and much more. (RELATED: Demystifying America’s Chips War With China)

Additionally, which model is adopted by developers or users will shape the future of the digital world, and which rules are emphasized or discarded. If the U.S. wishes to ensure users adopt its frontier models, it should ensure it remains dominant across the full stack and in ensuring open-source and open-weight AI are at the center of its strategy.

Throughout its history, the U.S. tech sector has been dominant because of its open-source approach to critical tools. This approach allowed students, startups, corporations and even governments to experiment broadly and iterate quickly on their ideas without waiting for permission from a few model providers.

Open-source helped build the internet and its app economy, from Linux to Apache. Open-source AI, like these precedent tools, will enable faster adoption by making it easier to test, customize, and commercialize, while making it harder for any firm to monopolize the market.

Open-source encourages competition by preventing AI from concentrating into a closed-lab oligopoly in which a handful of firms decide who gets access, at what price and on what terms. The LangChain State of Agent Engineering report shows open models becoming part of real agent-building........

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