AI Governance and Regulation
Laws, standards, audits, public policy, compliance requirements, liability, copyright, privacy, and institutional governance of AI.
Europe’s Robotaxi Race Runs Through National Rules and Local Training
Europe’s national routes to robotaxi service are advancing at different speeds, but regulatory progress does not make a deployment portable, Frank McCleary, a partner at Arthur D. Little, told Bloomberg’s Ed Ludlow. Operators must train their systems in each new environment, McCleary said, so experience gained in China does not by itself establish that a vehicle will work in a European city. Ludlow framed Europe as an option for Chinese operators facing constrained access to the US; McCleary described the US restrictions behind that constraint.
Wage-Setting Choices and Financial Tools Both Shape Economic Security
Wages reflect employer choices as well as market forces, Arindrajit Dube argues, because workers cannot always move easily to better-paying jobs. Carrie Joy Grimes says personal-finance tools can help people act on their circumstances, but cannot repair the structural conditions that produce insecurity. Their shared case is that financial agency complements, rather than replaces, wage standards and safety nets: the former help workers manage the choices they face, while the latter address limits on pay and protection.
Meta’s Frontier AI Claim Raises Questions Beyond Benchmark Scores
John Coogan said *The Social Reckoning* feels dated because it revisits controversies that no longer capture the questions technology professionals are asking about Meta. He argued that a current account would scrutinize the company’s AI business, including whether Muse Wonder’s benchmark results establish the frontier capabilities Meta claims. Jordi Hays was impressed by Muse as a product but said the benchmarks alone did not convince him Meta had reached the frontier.
Taiwan’s Alternatives to Chinese Suppliers Still Depend on Chinese Inputs
Taiwan’s supply-chain exposure extends beyond advanced chips: moving production away from China does not necessarily remove dependence on Chinese-controlled suppliers operating abroad or on Chinese feedstock and processing. In a Hoover Institution roundtable, researchers from Taiwan’s Democracy, Society and Emerging Technology institute argue that resilience depends on building and qualifying alternatives without disrupting production before those substitutes are ready.
AI Agent Policies Need Runtime Enforcement at the API Gateway
Sam, CTO at Gravitee, argues that prompts and policy files cannot govern what an AI agent does once it can reach an API: enforcement has to sit in the infrastructure between the agent and the services it can call. In a live hotel-booking demonstration, he showed a gateway denying destructive actions and bulk access to guest data, while also limiting repeated requests, caching similar questions and rejecting oversized prompts before they reached a model.
Revolut Targets US Dominance With a Credit-First Bank Launch
Revolut chief executive Nik Storonsky says the fintech wants to dominate the US, where it plans to challenge JPMorgan Chase and American Express with a credit-first launch. The proposed bank still needs full approval for its conditional charter and must be operationalized before Revolut can offer cards and loans; Storonsky says the company would then build out a broader digital offering. He also said the US would be the primary market if Revolut pursues a planned dual listing.
Crypto Faces an AI Security Risk Without a Known Attack
AI-driven advances in mathematics could threaten the cryptography that protects crypto wallets, but the risk is harder to define than the quantum threat the industry has spent years preparing for. On Diet TBPN, host John Coogan relayed warnings from Vitalik Buterin and cryptographer Matthew Green, while arguing that crypto has time to strengthen its defenses rather than rush funds into new wallets. Coogan and co-host Jordi Hays also questioned whether the open-source tools that could expose vulnerabilities should be restricted.
The Declaration Made Independence a Risky Decision, Not an Inevitable Outcome
Michael Auslin, a Hoover Institution distinguished research fellow and author of *National Treasure: How the Declaration of Independence Made America*, argues that the Declaration’s significance lies partly in the uncertainty surrounding its creation: in 1776, the colonies had no guarantee they would win the war or remain united. He traces how an improvised act of separation became a lasting standard for judging whether government acts legitimately.
Methylone’s Promise Met the High Cost of FDA Development
Kevin Ryan says he moved from funding Yale psychedelic research to building a company around methylone because developing a drug through FDA approval could cost $200 million to $250 million—too much for philanthropy alone. In a discussion with Tim Ferriss, he describes the company’s rationale and the financial limits that forced it to begin with one indication. Despite the title’s $700 million figure, the discussion does not explain a sale or provide transaction details.
DOGE’s Legacy Is Spending Controls That Persist Inside Federal Agencies
In his account of DOGE, former team member Tyler Hassen argues that its significance lies less in the spending it cut than in showing how much government money could go unexamined. At the Department of the Interior, he says, his team built a clearer picture of contracts and grants, required review of new commitments and reorganized support functions, though court challenges disrupted plans to reduce staffing. Hassen acknowledges that DOGE did not solve the deficit; he argues its controls and practices should continue inside agencies and beyond them.
Stablecoins and Tokenization Could Cut Payment Costs, but Safeguards Lag
OECD Chief Economist Stefano Scarpetta argues that distributed ledgers, stablecoins and tokenized assets could reduce payment costs and widen access to financial markets, but that those gains depend on safeguards, clear accountability and systems that work across borders. Speaking with Steven Davis at the Jackson Hole Economic Policy Symposium, Scarpetta also points to nearer-term benefits from digital payment records, which could help lenders assess small businesses. The technology’s promise, he says, does not remove the need to protect consumers and manage risks to financial stability.
China’s Detention System Joins Forced Labor With Ideological Reform
At a Hoover Institution discussion, historian Frank Dikötter argued that China’s system of political detention has changed its methods but not its core purposes: forced labor and ideological reform. Orville Schell, Rowena He and Glenn Tiffert examined how imprisonment and the threat of it affect families, constrain speech and shape public memory, while Dikötter cautioned against assuming that exposing abuses will bring political change. The speakers also traced the system’s reach into international supply chains and surveillance technology.
China’s Arctic Military Presence Is Limited, but Its Capabilities Are Growing
Glenn Tiffert, a Hoover Institution research fellow, argues that China’s military role in the Arctic remains limited, but its ability to operate there is growing through research, ice-capable ships and commercial activity. Those investments can build knowledge and options with potential military uses, even as China seeks greater influence over regional governance. Tiffert says restrictions on Chinese investment in Western Arctic states have narrowed Beijing’s path there and redirected more of its activity toward Russia.
KCRW Treats Interesting Programming as Part of Public Service
KCRW president Jennifer Ferro argues that public-service media cannot rely on its mission alone to hold an audience: it has to make work people find interesting. In a Masters of Scale conversation with Jeff Berman, Ferro draws on her years as deputy to KCRW founder Ruth Seymour to explain why candor about dull programming matters, and why stations must build community beyond the radio dial.
AI Agents Need Business Context to Run Enterprise Software Reliably
SAP chief executive Christian Klein argues that AI will change how enterprise software is used, not make systems such as SAP’s obsolete: agents still need reliable business data, process knowledge and controls to handle consequential work. In an interview with Big Technology, he says those requirements make accuracy and fragmented company systems key limits on adoption, even as he expects agents to take on more tasks. Klein also expects jobs to shift, with companies needing to reskill workers and change how they organize work.
Cambridge Proposal Calls for Comparable AI R&D Metrics and Crisis Plans
Government contact with AI lab leaders is increasing as Cambridge researchers call for comparable measures of AI’s role in research and development and plans for severe failures. TBPN hosts John Coogan and Jordi Hays also raise a specific market risk: if widely used agents make similar financial decisions at the same time, they could contribute to a bank run or flash crash. Coogan cautions that adoption and trust will take time.
Cambridge AI Safety Proposal Calls for Shared RSI Measures and Crisis Planning
TBPN’s John Coogan described a University of Cambridge proposal for AI safety as a shift from general calls for cooperation to two practical steps: standardize measures of AI’s contribution to research and development, and prepare government responses to failures such as cyberattacks or disruptions to critical infrastructure. The proposal, as Coogan presented it, identifies what governments should assess and plan for, rather than supplying finished response plans. That case comes amid growing public attention to AI risk and closer engagement between technology leaders and Washington.
Trump and Anthropic’s Amodei Meet Amid Debate Over AI Development Speed
Bloomberg correspondent Mike Shepard reports that President Donald Trump and Anthropic CEO Dario Amodei met for dinner as they take opposing positions on AI development. Amodei has called for slowing the most advanced models and strengthening safeguards; Trump has resisted added restrictions, arguing that the US must move quickly to compete with China. The meeting was confirmed, but neither side had said what they discussed.
California’s Rail Project Faces a 2027 Cash Deadline and No Clear Funding
The Paramount settlement may keep the company in Los Angeles, but it does not promise production in California or reverse the state’s loss of entertainment work, Bill Whalen and Lee Ohanian argue. Their account points to a broader gap between preserving a major company and resolving the state’s underlying problems: Ohanian says high-speed rail lacks a sound business case, while Whalen warns that the project may run out of cash by December 2027. Whalen also reads Governor Gavin Newsom’s recent political moves as positioning for a possible 2028 presidential run.
Women Composers’ Missing Music Is Also Missing From AI Training Data
Classical singer Gabriella Di Laccio argues that music history has excluded thousands of women composers, leaving audiences—and the datasets used to generate music—with an incomplete record of what was written. After finding an encyclopedia of women composers whose work she barely knew, she built a foundation that has identified more than 18,000. Di Laccio says recording that music is essential to making it audible to listeners and available to the systems shaping what they hear next.
Jensen Huang Says AI Labs Should Shut Down Only If Risks Cannot Be Contained
Jensen Huang’s call to shut down AI labs was conditional, not a general argument for slowing development, TBPN host John Coogan argues: Huang said labs should stop if they conclude their experiments cannot be contained and will cause harm. Coogan says Huang instead treats risks that engineers understand and can fix as problems to solve, while arguing that companies face incentives and legal obligations to ship safe products. How liability would apply when an AI agent causes harm remains unsettled.
Physical AI Could Multiply Global GDP, but Depends on Rebuilding Manufacturing
Morgan Stanley analyst Adam Jonas argues that combining AI with machines operating in the physical world could multiply global GDP by eight to ten times, but says that prospect depends on rebuilding manufacturing capacity. He sees China’s strength across key supply chains as a constraint on US efforts to onshore production, and expects physical AI to develop through networks of connected machines rather than humanoid robots alone.
World Models Could Ease Robotics’ Training-Environment Bottleneck
World Labs CEO Fei-Fei Li argues that spatial intelligence—models that generate controllable, geometrically structured 3D environments—could extend AI beyond language and provide needed training and evaluation settings for robotics. She says the company’s Atlas model is designed to reconstruct and generate navigable worlds from images, while maintaining camera control and visual consistency. Li also argues that safety evaluation cannot rest with AI companies alone, calling for independent benchmarks and participation from academia, government, industry and civil society.
Public Health Must Treat Misinformation as an Outbreak
Epidemiologist and science communicator Jessica Malaty Rivera argues that public-health emergencies involve two outbreaks: the pathogen itself and the information surrounding it. In conversation with TED’s Whitney Pennington Rodgers, she says trust cannot be assumed or commanded through expertise; it must be earned through listening, transparent explanation of evidence and uncertainty, and messages that account for people’s histories and fears. Rivera’s case is that communication is not an add-on to prevention but part of the intervention.