Article · 2026-06-19 · 6 moments

Banning Open Source AI Would Be A Mistake

This post was originally an op-ed co-authored with Kevin Xu of Interconnected for a general, non-technical audience. ✦ AI generated

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GUEST Kevin Xu (Interconnected, co-author)HOST Nathan Lambert

Claim

Anthropic and OpenAI are consolidating a closed-model duopoly that concentrates power and pricing leverage, and open weight models are the only real counterweight available to startups, schools, and enterprises.

The authors argue Anthropic and OpenAI's closed models are consolidating market power and pricing leverage, leaving open weight AI as the only viable alternative for smaller players.

transcript

Kevin Xu (Interconnected, co-author): The duopoly of Anthropic and OpenAI are rapidly concentrating power between them with their closed, proprietary models. Anthropic, in particular, has flexed its monopolistic muscle recently by reducing its most advanced model's capability when it is being used to improve someone else's model. While the capabilities of their models are undeniable, so are their price tags and market concentration.

gives example · 1

Claim◆

Cracking down on open source AI out of fear of China would backfire: American startups already rely on open source models, including Chinese ones, to compete, and restricting them would only weaken US education, innovation, and competition.

Using China as a reason to restrict open source AI would hurt cash-strapped American startups that already depend on open models and would push the rest of the world toward China's alternatives instead.

transcript

Kevin Xu (Interconnected, co-author): Open source models are actually improving the efficiency and profitability of many American startups, who cannot afford to pay the monopoly-level premium to Anthropic or OpenAI. AI companies working in coding, legal, and other domains are using open source models, including ones from China, every day. The response should be more support for open source at home. Regulating or limiting open source because of China would achieve the opposite.

Mechanism

Open source AI models are actually safer and more secure than closed ones, because transparency lets many engineers spot and fix bugs or unwanted behaviors, and because running them on your own infrastructure avoids transferring data out.

Rather than posing a security risk, the transparency of open source AI lets a wide community catch bugs and unwanted behavior, and keeps data on a company's own infrastructure.

transcript

Kevin Xu (Interconnected, co-author): the transparency that is inherent to open source makes them safer and more secure, because more engineers and researchers can tune out unwanted model behaviors, like censorship, or fix bugs in the software that runs these models. As one popular saying goes, "given enough eyeballs, all bugs are shallow." An open source model also does not transfer data, when installed on your own company's infrastructure as Airbnb CEO, Brian Chesky, explained.

gives example · 1

Example

Open source lets challengers compete against dominant incumbents and curbs monopoly power, as shown when Linux broke Microsoft's Windows monopoly and Android opened up the smartphone market before the iPhone could dominate it.

Historical examples like Linux and Android show open source acting as an equalizer that prevents any single company from monopolizing a market.

transcript

Kevin Xu (Interconnected, co-author): Linux, the open source operating system that now runs more than 90% of the world's cloud computing infrastructure, was the antidote to the Windows monopoly (so much so that former Microsoft CEO, Steve Ballmer, called Linux "cancer"). Android, the open source mobile system, fostered a long string of competitive smartphones before Apple's iPhone could control the market.

gives example · 1

Example

Open source lets innovators build without fear of lawsuits or licensing costs, letting ideas coded in a dorm room or garage grow into major companies, as when the first version of Facebook was built entirely on open source software.

The free, community-supported nature of open source removes financial and legal barriers to building new things, seeding innovations that range from hobby projects to companies like Meta.

transcript

Kevin Xu (Interconnected, co-author): Others blossomed into huge companies, like Meta, where the initial version of Facebook was built entirely on a stack of open source software. Every day, new ideas or solutions are being coded up in a dorm room, garage, or basement, all because open source lets innovators create without fear of a lawsuit or an expensive bill.

gives example · 1

Claim◆

Washington's current wave of AI regulatory activity risks spilling over into regulating or banning open source AI, and that would be a grave mistake.

Amid a flurry of new AI regulatory moves in Washington, the authors warn that open source AI could get swept up in bans or restrictions, which they call a serious error.

transcript

Kevin Xu (Interconnected, co-author): With the recently signed executive order to review AI models, a congressional proposal to legislate AI further, the government possibly taking shares of frontier AI labs, and last Friday's action prohibiting foreign nationals anywhere from accessing Anthropic's most advanced models, this may be the opening salvo of more AI regulation to come. We are afraid future actions could inadvertently or intentionally regulate or even ban open source, a much maligned and misunderstood topic in AI.

supports · 5

Highlight slides

Washington's AI Regulation Wave Threatens Open Source✦ from: Washington's current wave of AI regulatory activity risks spilling over into regulating or banning open source AI, and that would be a grave mistake.Restricting Open Source AI Over China Fears Would Backfire✦ from: Cracking down on open source AI out of fear of China would backfire: American startups already rely on open source models, including Chinese ones, to compete, and restricting them would only weaken US education, innovation, and competition.Four Signals of an 'Opening Salvo'✦ from: Washington's current wave of AI regulatory activity risks spilling over into regulating or banning open source AI, and that would be a grave mistake.Startups Already Use Open Models, Including Chinese Ones✦ from: Cracking down on open source AI out of fear of China would backfire: American startups already rely on open source models, including Chinese ones, to compete, and restricting them would only weaken US education, innovation, and competition.Open Source: Misunderstood, Now at Risk✦ from: Washington's current wave of AI regulatory activity risks spilling over into regulating or banning open source AI, and that would be a grave mistake.

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