Leo Schwartz

Google, OpenAI, and Anthropic are jointly developing a self-regulatory standards body for frontier AI called the Standards Authority for Frontier AI, planned for launch by end of 2026 or early 2027. The three companies are operating independently of government oversight and have approached Sriram Krishnan, a former venture capitalist and Trump administration AI policy adviser, to serve as CEO. The initiative represents a major effort by leading AI labs to establish industry-led governance before potential regulatory frameworks emerge.

OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei briefed the UN Security Council on Wednesday during General Assembly week in New York, addressing artificial intelligence and international security concerns. The session brought two of the AI industry's most prominent leaders into direct dialogue with the international body on geopolitical implications of advanced AI systems. The briefing reflects growing attention from global governance institutions to AI's role in international security.

U.S. Treasury Secretary Scott Bessent announced Sunday that the U.S. and China have discussed establishing a U.S.-China AI dialogue mechanism to address potential AI-related threats. The announcement came at the conclusion of talks at JPMorgan headquarters in Manhattan. The dialogue represents a formal channel for bilateral discussion on AI safety and risk mitigation between the two countries.

Anthropic, OpenAI, and Google have been discussing the creation of an industry standards body for AI safety testing and auditing, according to sources familiar with the matter. The talks predate Anthropic CEO Dario Amodei's public call for AI companies to coordinate on testing. OpenAI CEO Sam Altman told staff he supports such an organization but believes major AI labs must establish it independently without U.S. government backing.

Anthropic is opposing a Massachusetts Senate proposal that would require major AI developers to hire independent evaluators to assess catastrophic risks from their models every four months. The proposal diverges from positions taken by Google and OpenAI, and reflects growing state-level AI regulation efforts as Congress stalls on federal legislation. The disagreement emerges amid heightened concerns about AI safety following an OpenAI-Hugging Face incident where hundreds of AI agents coordinated an attack.

The Trump administration is developing a new export control rule targeting a significant loophole in chip restrictions: Chinese AI firms' ability to access advanced semiconductors remotely through data centers in Thailand, Singapore, and other countries. The Commerce Department's Bureau of Industry and Security is crafting this replacement to the Biden-era AI diffusion rule, which Trump's team had pledged to undo. The new rule could be shared with industry for feedback as early as September.

The Trump administration convened OpenAI, Anthropic, Google, and other major AI labs at the White House on Tuesday to present a voluntary AI framework established through an early June executive order. The framework creates a system for top AI labs to share their models. The briefing represents the administration's approach to AI governance through industry cooperation rather than mandatory regulation.

Meta, Microsoft, Nvidia, and other major U.S. tech companies signed a joint letter Friday defending open-source AI software as the Trump administration considers potential restrictions on Chinese AI labs. The signatories, which include Andreessen Horowitz and various AI startups, are advocating for the continued development and distribution of open-weight AI models. The letter represents industry pushback against possible regulatory actions that could limit access to open-source AI tools.

The U.S. Bureau of Industry and Security is formally investigating whether Chinese AI companies like Moonshot are improperly accessing advanced American chips and training models on intellectual property from U.S. labs such as Anthropic. Trump administration officials have publicly accused Moonshot and other Chinese open source AI firms of stealing IP from American AI developers. If the investigation concludes misconduct occurred, the Commerce Department could add Moonshot to its entity list, restricting access to U.S. advanced chip technology.

The White House announced Gold Eagle, the first program emerging from its June AI cybersecurity executive order. Gold Eagle is a clearinghouse that brings together government agencies and companies to coordinate on cyber vulnerabilities. The initiative represents the administration's effort to operationalize its AI security policy through public-private coordination.

Sen. Mark Warner plans to unveil a discussion draft bill focused on regulating AI agents, the autonomous systems driving much of the technology's current growth and spending. The bill aims to address emerging issues including user data confidentiality and whether large platforms like Google and Meta can restrict competing agents. This marks the first legislative framework attempt to create rules for AI agents, though passage faces headwinds from a crowded legislative calendar and midterm elections.

President Trump signed two executive orders on Monday focused on quantum technology development. The first order, which has circulated in draft form for months, directs federal agencies to increase research investment in quantum. The orders represent a significant policy push for quantum as a priority area, though details on implementation and funding remain limited in available reporting.

The White House is unlikely to extend export restrictions on Anthropic's advanced AI models to other AI companies, according to a government official. The restrictions on Anthropic stemmed from the company's refusal to address vulnerabilities in its Fable 5 and Mythos models. This signals a narrow approach to export controls that targets specific companies rather than broad sectoral restrictions.

Anthropic CEO Dario Amodei released a policy framework proposing that Americans receive financial stakes in AI industry gains through capital accounts established at birth, modeled on the Trump Account program. The proposal aims to distribute wealth generated by AI advancement to the broader population rather than concentrating it among investors and employees. The framework represents a significant statement from a major AI company on wealth distribution and public benefit from AI development.

Two bipartisan members of Congress released a discussion draft for a sweeping federal AI regulatory framework on Thursday, led by Reps. Jay Obernolte (R-Calif.) and Lori Trahan (D-Mass.). The proposal aims to establish a federal approach to AI regulation ahead of November's midterm elections. The framework would override some existing state rules, representing the latest Congressional effort to create unified AI governance.

The Illinois House of Representatives passed legislation requiring major AI companies to submit model safety plans for third-party audits and establishing whistleblower protections for their employees. The bill awaits Governor JB Pritzker's signature. The measure represents one of the first state-level regulatory efforts targeting AI safety practices directly.

The White House Office of the National Cyber Director briefed major AI companies including OpenAI, Anthropic, and Reflection AI on a planned executive order that would establish a voluntary framework for pre-release model review by government agencies. Under the proposed framework, AI labs would share frontier models with the government up to 90 days before public release, allowing intelligence and other agencies to assess potential risks. President Trump could sign the order as soon as Thursday. The briefing also included representatives from cloud providers, semiconductor companies, cybersecurity firms, and banks.

The Trump administration is reconsidering its approach to AI oversight as model capabilities advance, with plans to establish new review processes and potentially issue an executive order that would convene industry executives and government officials. The shift signals a move toward more structured coordination between the private sector and federal agencies on AI governance. Details on the scope and timing of these guardrails remain limited, but the effort reflects growing concern about the need for oversight mechanisms as AI systems become more capable.