6 months to live for open models - by Nathan Lambert
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6 months to live for open models<br>Staring down the barrel of policy action that could make open models a permanent second class citizen.<br>Nathan Lambert<br>Jul 12, 2026<br>∙ Paid
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The most serious test to date of open source AI’s viability is happening right now. I’ve seen many waves of anti open-source AI rhetoric come and go since ChatGPT was launched, but none of them had obvious analogues in their potential enforcement to real action already in place targeting the peer, closed models of the day. It is more real because new forms of regulation are being tested and implemented, with minimal oversight. I will be doing far more policy-facing writing than usual until this passes.<br>As of writing this, many sources are citing White House discussions on how to manage open models via a new executive order. There is no official information here, and it would likely impact a) Chinese-origin models and b) government uses only, but this is how the dominoes start to fall.<br>Open models lack the central economic champion to represent the potential downside of action against them. From recent coverage of the events surrounding model licensing agreements for Fable (and then GPT-5.6), more was said about what unfolded on June 9th:<br>At the meeting, the topic of how the program will deal with open-source AI models came up, according to a person familiar with the session. A representative from Reflection AI, a U.S.-based open-source model provider, argued that open-source models should have exemptions from the framework based on their capabilities, the person said. Currently, Chinese open-source models such as DeepSeek have a substantial lead over other available open models, and Reflection has not yet launched a public model.
A ban of any form here would be a big mistake for the long-term trajectory of AI.<br>The most likely incoming action is to ban or indefinitely delay any open-weights model meaningfully above the capability level in the range of GPT 5.5, Claude Opus 4.8, or GLM-5.2. With the consistent capability gap, this should be within the next 6 months.<br>As it stands, these would most likely be from a Chinese company, which is how this conversation of frontier open model capabilities inextricably becomes linked to other issues such as distillation. The capability threshold for a “right to review” from the government will shift over time, but once in place will likely progress far slower for open models rather than their closed counterparts. This is partially due to closed models being easier to secure but also due to the closed model companies having far more effective lobbying.<br>So, this leaves us in a place where there are two crucial policy discussions unfolding at once impacting open models – distillation & frontier capabilities. They’re very different in their nature, the necessity of response, and the potential response space. Still, together they represent the talking points of a surging platform of support for a potential ban of open models in the next 6 months.<br>The primary driver motivating regulation today is the inevitable truth that an open-weights model will soon reach the capabilities of Claude’s Mythos model. The actual performance of this openly released model will likely be more jagged, but all it takes is the model getting flagged in the nascent White House AI model checker. It’s hard to unwind new habits motivated by fear.<br>Share<br>The current distillation debates are regulatory capture and doing nothing for now is fine
Distillation is largely a regulatory capture campaign at this point, as the only solutions on the table massively benefit the organizations pushing for it.<br>To elaborate, the anti-Chinese models political campaign is led by Anthropic, where they are sharing a mix of blog posts and letters to representatives detailing what the Chinese companies are doing. Anthropic has detected use from foreign companies, which is people coming and paying for its API, and eventually turned off usage and then written strongly worded recommendations of policy action and shared minimal technical evidence. This campaign may have started through a genuine business concern, but it has progressed to be the definition of regulatory capture, as Anthropic would gain substantial economic security in its products if the Chinese model makers they accused were banned.<br>If Anthropic was presenting information in a more neutral “you decide what to do” way, the community would have a lot more sympathy. It is more of a policy recommendation than an information sharing exercise at the frontier of a rapidly evolving technology. If Anthropic’s technology is as powerful as they say it is – so powerful that open models like it should likely be banned – then they should be able to secure their API. I continue to wait for them to explain why they cannot. One of their statements would need to be walked back.<br>Anthropic is...