AI Governance and Regulation
Laws, standards, audits, public policy, compliance requirements, liability, copyright, privacy, and institutional governance of AI.
AI Buyers Are Choosing Models on Cost, Governance, and Deployment
John Coogan argues that the latest model releases show why benchmark leadership is becoming an inadequate guide to AI capability and adoption: OpenAI’s GPT-6 Astra may set a new mark on ARC-AGI-3, but ARC’s Mike Knoop says the result still falls short of evidence for general intelligence. Coogan and Jordi Hays contend that buyers will increasingly judge models by practical demonstrations, cost, speed and data-governance terms rather than leaderboard gains alone. Coogan makes the same distribution argument about Nvidia’s reported $13bn Hugging Face acquisition, framing it as a bid to connect open-source developers to the compute infrastructure needed to deploy their work.
Alleged $48 Million Shadow Payroll Leaves Ballmer Little Room to Fight
Pablo Torre argues that Steve Ballmer and the Los Angeles Clippers used companies tied to the team’s commercial orbit to route an alleged $48 million in off-book compensation to Kawhi Leonard, circumventing the NBA salary cap. Torre says the league’s resulting sanctions—five first-round picks, a $30 million fine and a yearlong ban from the Intuit Dome—leave Ballmer to choose between accepting an unprecedented punishment or pursuing litigation that could expose further evidence.
Clean IP Title Determines Whether a Spinout Can Raise
Wilson Sonsini partner Becki DeGraw argues that a spinout must give the parent a defensible return without leaving the new company’s founders too little ownership to recruit, raise capital, and build an independent business. Alongside the cap table, she says, the parties must establish a clean chain of title to the IP and document continuing rights around infrastructure, employees, customers, and confidential information before the team begins operating separately.
Wayve Launches Supervised Uber Robotaxi Rides in London
Wayve has begun offering Uber robotaxi rides in London with safety operators aboard, a supervised launch CEO Alex Kendall says is meant to lead to fully driverless service once the company secures production-scale vehicles, validates safety and gains regulatory approval. Kendall argues that Wayve’s end-to-end AI driver can operate across vehicle types and new cities without high-definition maps, supporting a plan to expand its Uber partnership beyond London while supplying the same technology to automakers.
Self-Government Depends on Distinct Citizenship and Civic Assimilation
Victor Davis Hanson argues that American self-government rests on citizenship as a distinct political status, reinforced by assimilation into a common civic culture, a broad economically independent middle class, and national allegiance stronger than ethnic or other group loyalties. He contends that blurred lines between citizenship and residence, large-scale immigration without sufficient incorporation, economic dependency, and identity-based politics are weakening the conditions on which consensual government depends.
A Shared Civic Culture Requires Assimilation and Self-Restraint
Victor Davis Hanson argues that America’s civic disorder is a cultural problem rather than a constitutional one: a free society needs citizens who share a primary political allegiance, civic knowledge and a willingness to restrain themselves beyond what the law requires. He contends that assimilation should preserve a common American political core while allowing cultural differences in private and local life, and that citizens, judges and elected officials alike must reduce the partisan conduct that erodes trust in public institutions.
Anthropic Wins Court Order but Faces No Pentagon Procurement Guarantee
Bloomberg’s Rachel Metz reports that a California judge has ordered the Trump administration to lift its supply-chain-risk designation against Anthropic, finding it inadequately justified and partly intended to make an example of the AI company. The ruling does not require the Pentagon to use Anthropic’s products, Metz says, and a separate case in Washington remains unresolved. Separately, Anthropic, OpenAI and more than 100 organizations are warning that increasingly capable AI models could make cyberattacks more widespread even as they strengthen cyber defense.
Peer Review and Grant Funding Have Made Scientific Dissent Too Costly
Eric Weinstein argues that grant funding, peer review and university hierarchies make dissent professionally irrational by tying publication, jobs, funding and legitimacy to prevailing views. He proposes that government fund exceptional scientists over long periods rather than narrowly defined projects, even when their work is unpopular or likely to fail. But his alternative depends on discretionary judgments by formidable scientists, without resolving who selects them or how their choices are held accountable. He warns that China and AI could exploit neglected ideas if US institutions continue to treat them as professionally hazardous.
Chatbots Need Held-Out Benchmarks for Politics, Medicine, and Mental Health
Forum AI chief executive Campbell Brown argues that chatbots answering questions about elections, medicine, mental health and contested politics need independent standards for factual accuracy, source quality, context and safe escalation—not just vendors’ own assurances. She says domain experts should define held-out benchmarks that assess how models handle uncertainty and competing claims without prescribing political conclusions. Brown also warns that the reporting ecosystem AI draws on may be weakened by the same systems, while engagement-driven AI companions could reward affirmation over reliability.
School Choice Must Not Weaken Public Education’s Universal Obligation
Janice K. Jackson, executive director of the Aspen Institute’s Education & Society Program, argues that public education’s central problem is a failure to define what the country owes every child. She supports family choice and accountability, but says neither can come at the expense of public schools’ obligation to serve all students or substitute for adequate resources and implementation support. Her proposed agenda focuses on practical guardrails for alternative school models, AI procurement, career pathways and state governance.
Pluralism Requires Religious Liberty for Beliefs Majorities Do Not Endorse
Treating religion as a fixed, private or uniform identity obscures the ways it shapes public life, argue Simran Jeet Singh, Diane L. Moore and Asma Uddin in Faith Angle’s discussion of Modeling Religious Pluralism. They define religious literacy as understanding traditions as diverse, evolving and entangled with social power, and argue for a pluralism that protects strong commitments without allowing any one community to make its norms the public default.
Patient Price Visibility and Provider Competition Could Lower Healthcare Costs
Scott W. Atlas argues that American healthcare’s high costs and uneven access stem less from insufficient coverage than from a system that shields patients from prices and limits competition among providers. He favors consumer-directed insurance and health savings accounts, transparent pricing for scheduled care, and fewer restrictions on physician training, licensing, and nonphysician practice. Atlas also contends that Medicaid enrollment does not ensure access, while drug-price controls risk weakening the incentives for pharmaceutical innovation.
Insurance Coverage Does Not Guarantee Timely, Effective Care
Scott W. Atlas argues that U.S. health policy should be judged by whether patients can obtain effective care in time, not by insurance coverage, spending levels, or stated intentions. He contends that single-payer systems achieve lower costs partly by restricting treatment, technology, and specialist access, while the United States delivers stronger outcomes through greater capacity and innovation. Atlas also links the post-COVID decline in institutional trust to what he calls the false claims and overlooked harms behind pandemic restrictions.
Governments Should Track Aspirations Alongside Economic Growth
Consumer researcher Lance Katigbak argues that GDP and other economic measures can show growth without revealing whether citizens believe they are moving toward the lives they want. Drawing on a nationwide survey of more than 1,500 Filipinos, he says governments should track ambitions, barriers and perceived progress alongside conventional indicators—starting with the widespread desire for financial security against health shocks. Katigbak’s proposed “Department of Dreams” would use that data to test whether health, labor, education and industry policy aligns with citizens’ goals.
Stablecoins Could Expand Dollar Use and Concentrate Demand for Treasury Bills
Nellie Liang of the Brookings Institution argues that stablecoins could widen global access to dollar-denominated value and add demand for Treasury bills, but only if their growth expands the dollar market rather than shifts money from existing dollar instruments. In her paper with Brent Neiman, Liang contends that the potential gains in payments and dollar use carry policy costs: regulators must address illicit-finance risks and possible losses of bank lending, while Treasury must account for reserve demand concentrated in short-term debt.
Hunter Biden Says Public Exposure Forced a Choice Between Secrecy and Sobriety
Hunter Biden argues that the laptop scandal turned authentic records of his addiction and private life into a durable political label, making later allegations about Burisma, White House cocaine and his father’s presidency seem credible before their details were tested. Speaking with Chris Williamson, Matt McCusker and Duncan Trussell, he accepts responsibility for his conduct and calls his Burisma board role politically reckless, while contending that shame, secrecy and public exposure shaped both his addiction and recovery. He extends that account into a critique of political and corporate power, particularly Donald Trump’s use of the presidency and social platforms’ product design.
Kushner And Iger’s $12.5B Lakers Bid Casts Sports as an AI Hedge
TBPN’s John Coogan and Jordi Hays argue that, amid rapid technological change, markets and investors increasingly depend on assets and signals that can hold up under scrutiny. They cast Josh Kushner and Bob Iger’s proposed $12.5 billion Lakers purchase as a hedge against AI disruption, and see Grok 4.6’s pricing and workflow speed as at least as important as its benchmark scores. Anthropic’s watermarking proposal tests whether AI assistance can be distinguished from authorship, while their debate over investor updates turns on whether founders can preserve trust by showing progress before they need capital.
Meta Offers AI Access in Exchange for Data Center Support
Jason Calacanis argues that Mark Zuckerberg’s AI manifesto is a political bargain: Meta promises broadly available tutors, agents and business tools in exchange for public acceptance of the data centers needed to run them. He sees open-weight models and AI embedded in Meta’s existing apps as both a competitive strategy and a way to argue that AI’s gains will not be confined to a few companies. Lon Harris is more skeptical, describing the essay as a polished case for Meta’s expanding product footprint as much as for distributed access to intelligence.
The Emergency Docket Is Reshaping How the Supreme Court Decides Cases
Neal Katyal and Katherine Wellington argue that persuading the Supreme Court requires more than doctrinal command: advocates must identify the particular textual, historical or institutional concern that may move individual justices under pressure. Their account of recent cases—from challenges to presidential tariffs and jury discrimination to gun regulation—also portrays a Court whose ideological divisions do not always determine outcomes, but whose turn from precedent and growing use of emergency orders have made both advocacy and judicial review less predictable.
OpenAI’s First Device Tests the Case for Personal AI Systems
The article argues that AI’s value may accrue less to models than to the products and compute systems that make their capabilities usable, while the costs of new technologies may be shifted onto the public. Coogan treats OpenAI’s reported device and Google’s infrastructure strategy as tests of that proposition; AI-designed bacteriophages raise a separate question of whether cheaper biological design can widen medical uses while creating biosecurity risks. The hosts also point to social-media litigation as a potential model for making platforms bear public costs attributed to product design.
Continual Learning Could Turn AI Deployment Into Training
Dwarkesh Patel argues that AI systems capable of performing whole jobs will need to learn from their own deployment, collapsing the distinction between training and use. That shift would make one-time pre-release safety evaluations less adequate, turn real-world usage into a compounding advantage for leading labs, and make organizations reluctant to replace models that have absorbed their working practices. Patel also expects the economics of serving continually updated, organization-specific models to favor large providers and large customers.
Public Health Preparedness Must Address Pathogens, Markets, and Organized Distrust
Peter Hotez, dean of Baylor College of Medicine’s National School of Tropical Medicine, argues that public health is being weakened at every stage: climate and urbanization increase the chance of disease emergence, market failures leave vaccines without routes to the populations that need them, and organized political and commercial campaigns erode uptake where outbreaks can spread. His case for preparedness centers on earlier pathogen surveillance, vaccine production models built for low-income markets, and stronger institutional resistance to what he describes as a monetized anti-vaccine ecosystem.
Founders Must Separate Trillion-Dollar Ambition From Revenue Reality
Elad Gil argues that AI’s unusually fast creation of trillion-dollar valuations is distorting both investor expectations and founder behavior: most large markets cannot produce the revenue, margins, and speed needed for that outcome, while some strong founders are avoiding opportunities out of fear that frontier labs will absorb them. Sarah Guo agrees that founders should not let lab competition substitute for strategy, but argues that AI can expand markets beyond conventional seat-based spending and that financing conditions can still constrain companies with sound long-term theses. Their tension is that AI may change both the scale and pace of opportunity, but neither inflated valuation expectations nor fear of the labs replaces a realistic assessment of market capture, competitive advantage, and the capital required to pursue a thesis.
DeepMind Reorganization Leaves Alphabet’s AI Accountability Unresolved
Alphabet’s decision to move Demis Hassabis out of DeepMind’s day-to-day leadership and install Koray Kavukcuoglu as operational head leaves its central AI question unresolved, John Coogan argues: who is accountable for aligning research, compute, product integration and recruiting. Coogan sees DeepMind’s cross-company role as a rationale for the new structure, while Jordi Hays argues that leadership departures and unclear commercial momentum raise doubts about Google’s ability to retain talent and compete at the frontier.