Anthropic agrees with the U.S. government that implementing robust export controls on domestically made AI chips will help the U.S. compete in the AI race against China. But the company is suggesting a few tweaks to the proposed restrictions.

Anthropic released a blog post on Wednesday stating that the company “strongly supports” the U.S. Department of Commerce’s “Framework for Artificial Intelligence Diffusion” ahead of the interim rule’s implementation date on May 15.

The framework was proposed by outgoing president Joe Biden in January and is meant to bolster AI chip export controls for the purposes of national security and to ensure the U.S.’ dominance in AI. It divided the world’s countries into three tiers, with each tier having its own guidelines and restrictions.

Tier 3, the most restrictive tier, which includes countries that were already impacted by existing export controls, like Russia and China, would face additional restrictions. Tier 2 countries, like Mexico and Portugal, would come under export restrictions for the first time and would have a cap on how many chips they could buy. Tier 1 countries, like Japan and South Korea, would continue without export restrictions.

When these restrictions were proposed in January, semiconductor giant Nvidia released a statement calling them “unprecedented and misguided,” and suggesting that they would “derail” innovation worldwide.

Clearly, U.S.-based AI companies, like Anthropic, don’t agree. In its blog post, the lab expressed support in broad strokes for the restrictions.

Anthropic did, however, propose lowering the number of chips Tier 2 countries can purchase without review and instead encouraging these countries to buy more chips through government-to-government agreements to avoid smuggling and increase U.S. control.

The company also thinks the U.S. government should increase funding to ensure these export controls are properly enforced.

This statement by Anthropic is not particularly surprising. Anthropic’s CEO Dario Amodei has been one of the more vocal U.S. AI leaders in favor of export restrictions. Amodei wrote an op-ed in the Wall Street Journal in January about why the U.S. needs stronger chip export controls.

TechCrunch has reached out to Anthropic for more information.

Microsoft CEO Satya Nadella said that 20%-30% of code inside the company’s repositories was “written by software” — meaning AI — during a fireside chat with Meta CEO Mark Zuckerberg at Meta’s LlamaCon conference on Tuesday.

Nadella gave the figure after Zuckerberg asked roughly how much of Microsoft’s code is AI-generated today. The Microsoft CEO said the company was seeing mixed results in AI-generated code across different languages, with more progress in Python and less in C++.

Microsoft CTO Kevin Scott previously said he expects 95% of all code to be AI-generated by 2030.

When Nadella threw the question back at Zuckerberg, the Meta CEO said he didn’t know how much of Meta’s code is being generated by AI.

On Microsoft rival Google’s earnings call last week, CEO Sundar Pichai said AI was generating more than 30% of the company’s code. Of course, it’s unclear how exactly Microsoft and Google are measuring what’s AI-generated versus not, so these figures are best taken with a grain of salt.

On Tuesday, Meta is hosting LlamaCon, its first-ever AI developer event. It’ll center around the company’s Llama family of open AI models, and we’re expecting some big updates for developers. Also on the agenda: keynotes from Meta executives and fireside chats with Big Tech CEOs and Meta’s chief, Mark Zuckerberg.

Meta is hosting a small number of developers and journalists at its Menlo Park, California headquarters. The company is also livestreaming the big keynotes and firesides for people around the world to tune in. LlamaCon will stream on the Meta for Developers Facebook Page, as well as on the Meta Developers YouTube channel.

LlamaCon kicks off at 10:15 a.m. Pacific with a keynote speech delivered by Meta’s Chief Product Officer, Chris Cox, the company’s Vice President of AI, Manohar Paluri, and Meta Generative AI Research Scientist Angela Fan.

At 10:45 a.m., Zuckerberg will sit down for a fireside chat with Databricks Co-founder and CEO Ali Ghodsi to chat about open source AI and AI-powered applications. What’s the connection between Meta and Databricks? In January, Databricks announced that Meta was backing the data-focused AI startup as a “strategic advisor.“

Later in the day, at 4 p.m., Zuckerberg will participate in another fireside chat with Microsoft CEO Satya Nadella. The two CEOs are slated to discuss the latest trends in AI, and offer advice for how developers can stay ahead in the fast-moving AI space.

Stakes are high for Meta going into LlamaCon. The company recently launched Llama 4, a new generation of AI models that was met with a muted reaction from developers. The Llama 4 models were not state-of-the-art on certain benchmarks compared to leading AI models from DeepSeek, OpenAI, Anthropic, and Google.

Soon after the launch, Meta had to fend off allegations that it cheated on a popular crowdsourced AI benchmark, LM Arena. The company used a version of its Llama 4 Maverick model “optimized for conversationality” to achieve a high score on LM Arena, but released a different version of Maverick publicly.

With LlamaCon, Meta is hoping to get back into the good graces of developers. We’ll see if the company can achieve that.