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Anthropic, the artificial intelligence company behind the Claude chatbot, has pushed for greater government regulation of AI in ways that echo elements of the Washington playbook employed by convicted fraudster Sam Bankman-Fried during his time as a cryptocurrency entrepreneur, a review of public records shows.

Both Anthropic and Bankman-Fried poured millions of dollars into Washington influence campaigns while publicly arguing that government rules were needed to make their respective industries safer, although the money flowed through notably different channels. Critics in both industries have accused them of using regulation to strengthen their competitive positions. Bankman-Fried’s political operation later became part of a criminal case involving illegal campaign contributions, while Anthropic’s spending has consisted of disclosed lobbying and advocacy efforts.

Anthropic, for its part, denies this characterization. Bankman-Fried, meanwhile, later said his public posture on regulation was essentially "just PR" in a social media direct-message exchange published days after FTX collapsed.

Anthropic has been pushing Washington to put guardrails around the fast-moving AI industry, warning that increasingly powerful models could pose serious national security and public safety risks. CEO Dario Amodei has called for mandatory testing and auditing of advanced models, while the company has spent millions lobbying policymakers and backing groups that support tougher AI rules.

Anthropic's pro-safety rhetoric, much like Bankman-Fried’s, is backed by large amounts of cash. The firm has spent close to $7 million on lobbying efforts from 2025 through the middle of 2026, per federal disclosures, and has set aside $40 million to Public First Action, a 501(c)(4) tied to the super PAC Public First, which is being spent to advance pro-regulation talking points.

"Anthropic is running a sophisticated regulatory capture strategy based on fear-mongering. It is principally responsible for the regulatory frenzy that is damaging the startup ecosystem," former Trump administration AI advisor David Sacks posted to X in October 2025.

Jensen Huang, Nvidia’s CEO, said in a blog post that with the deal, the company “will expand access to AI for developers and institutions worldwide.”

Hugging Face CEO Clément Delangue told CNBC on Thursday that the company approached Huang over the summer about a deal, “and a few weeks later, here we are.”

“During the summer, I think we realized that Hugging Face and open source AI in general was at the turning point, and that it needed more, more resources, more scale, more visibility,” he told CNBC’s Becky Quick on “Squawk Box.”

Delangue said he approached first because Nvidia was “a perfect home” for his company, adding that discussions went quite fast to get a deal done.

Morocco’s airports handled 22.3 million passengers in the first seven months of 2026, up 8.8%. Casablanca still leads, with Europe as the main gateway. Airports 2030 is scaling the network toward 80 million, including a new Casablanca terminal due in 2029. Passenger growth is already putting pressure on capacity. The expansion is coming at the right time.

Interesting moment on the night of the Prophet’s Birthday. Crown Prince Moulay El Hassan drove King Mohammed VI on their journey from Tetouan through Tangier to Rabat. With the King’s advisers travelling with them, it was still a very family-like scene. You can see that sense of closeness between the King and his heir, while also getting a glimpse of how the next generation is already stepping into its role.

(Source: Najib Addadi (@AddadiNajib) on X)

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Brazil is investing roughly $444 million in AI infrastructure, with the projects divided between different suppliers.

Huawei and iFlytek are involved in the larger Rio project for language-model training. A separate tender, for a machine Brazil aims to place among the world’s top 10, is expected to be won by Nvidia.

The split reflects Brazil’s broader economic ties. China is Brazil’s largest trading partner, while the US remains its largest source of foreign investment. Brazil therefore has economic relationships with both sides rather than relying exclusively on one.

Stricter US restrictions would not necessarily reduce demand for American chips where high-end performance is required. They could, however, increase the role of Chinese hardware in other parts of Brazil’s AI infrastructure.

"Open-weight models lower adoption costs, expand developer communities and allow companies to work around constraints imposed by a lack of access to the most advanced chips. They are especially attractive to emerging markets but are gaining popularity among developers worldwide because of their cost efficiency and adaptability to different workloads.

Xi’s ambition is to accelerate the global proliferation of Chinese technology, build a stronger strategic foothold abroad, diversify China’s exposure to geopolitical risk and shape the global system more in China’s favour."

China’s open-source strategy is turning constraint into global reach. Countries adopting those models absorb Chinese technical standards over time. The more durable answer for the US is not only export controls, but a deliberate effort to develop strong open-weight models that can compete on performance, cost, and adoption.

Pretty reasonable balance. Open models stay freer to move, which feels healthier at this stage.

Closed model labs have spent a lot of time arguing that their systems are uniquely powerful and potentially dangerous. If that’s the case, it makes sense that they go through an extra review step. Leaving open models out keeps the broader ecosystem from getting bogged down too early. If closed models can’t stay meaningfully ahead, then treating them as special cases starts to look less justified anyway.

A Duchenne mom whose son is now 33 wrote this piece about why one-size-fits-all regulation doesn’t work for progressive rare diseases like DMD.

She argues that treatments need to be more flexible and tailored to different mutations and disease stages. The restricted access to Elevidys for non-ambulatory individuals is cited as one example of where current frameworks may leave patients without meaningful options.

Given how much NIH invests in rare disease and gene therapy research, curious what people here think about the current gap between scientific progress and regulatory flexibility.

DeepSeek founder Liang Wenfeng, speaking in a closed-door investor meeting in May 2026:

"If it were in a normal business environment where I could buy NVIDIA cards, then domestic substitution would be relatively hard; but when NVIDIA cards can’t be bought, everyone is forced into it, everyone has to do domestic chips."

Translation: Thanks for the export controls. Otherwise we’d still be buying American.

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Open models spread capability, force better safety through real scrutiny, and stop a handful of labs from owning the future. Locked weights only protect the gatekeepers.

An 11-year-old boy from Türkiye is currently in treatment planning for Elevidys, the one-time gene therapy for Duchenne muscular dystrophy, at Burjeel Medical City in Abu Dhabi.

BMC is among the few centres in the UAE authorised to deliver this advanced therapy. The case is being managed by a multidisciplinary team including clinical genetics and cell & gene therapy specialists. The young patient has already tested negative for the relevant antibodies, making him eligible to proceed.

Rare disease care is becoming more reachable.

Closed US models at 50–100x the cost of Chinese open-weight models. Restricting the cheap option just handicaps US companies

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