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ESSAY Rep. Mike Levin @RepMikeLevi
There is no world in which this is okay.
Supreme Court Justice Samuel Alito did not recuse himself from cases involving Trump’s Treasury Department while his own son was secretly working there as a political appointee and attorney.
His son’s employment was hidden so thoroughly that his name appears nowhere on the Treasury Department website, he has no public resume, and his bar listings are outdated.
If Alito had recused himself, the secret would have come out. He didn’t recuse himself.
This is a clear conflict of interest, and the American people deserved to know about it.
The federal recusal standard is clear: a justice must step aside in any case where there is a reasonable basis to question whether he or she can be impartial. A justice ruling on cases involving the department where his son works fails that test. The Treasury Department sits at the center of some of the biggest legal fights of this administration, and challenges to Trump’s $1.776 billion January 6 slush fund could be headed to the Court next. The Supreme Court is the only court in America with no binding code of conduct. That is completely unacceptable, and it has to change NOW.
Congress controls the Power of the Purse, and therefore the Court’s funding. If the Court will not adopt a binding code of conduct with real recusal review on their own, I support withholding their funding until they do.
ESSAY Ricardo @Ric_RTP
CEOs have been advising Xi Jinping’s university for YEARS.
And the Pentagon just opened investigations into this.
Tim Cook, Elon Musk, Mark Zuckerberg, Jensen Huang, Satya Nadella, Jamie Dimon, and Larry Fink.
All of them sit on the advisory board of Tsinghua University in Beijing. The same university that trains China’s military AI leadership and the same university the US Defense Counterintelligence Security Agency officially flagged in 2018 for seeking export-controlled American materials.
Tim Cook joined the board in 2013 and became its chairman in 2019. He’s been running it for 7 years.
The story only broke this week because Jensen Huang quietly joined the same board, and somebody finally connected the dots on who else was already sitting at the table.
Tsinghua isn’t a normal university:
It runs 8 military research labs on its campus. It has signed a formal strategic cooperation agreement with the Chinese Navy. And its leadership has publicly committed to advancing the CCP’s strategy of military-civilian fusion in artificial intelligence.
Tsinghua-affiliated researchers have contributed to Chinese hypersonic weapons, fourth-generation nuclear weapons technology, and advanced semiconductor breakthroughs.
A House investigation last year named the university as one of the primary pipelines transferring American research into China’s defense industrial base.
This is the institution being advised by the men who run Apple, Tesla, Meta, Nvidia, Microsoft, JPMorgan, and BlackRock.
The board has existed since 2000. The names on it have been publicly listed on Tsinghua’s OWN website the entire time but nobody in Washington raised a single public concern for years.
Senator Jim Banks said he is launching an investigation. Laura Loomer filed a formal complaint with the Department of War.
But here’s the BIGGER question this exposes…
The US government has spent the last four years building the most aggressive technology export control regime in modern history.
Banning Nvidia chips from China, blacklisting Chinese tech companies, indicting smugglers, and spending billions to prevent AI from reaching the Chinese military.
In March, the co-founder of Supermicro – Nvidia’s biggest hardware partner – got charged for smuggling $2.5 billion in Nvidia servers to Chinese buyers through a Southeast Asian shell company.
And the entire time these controls were being built, the CEOs being asked to comply with them were listed as advisors to the school the controls were designed to protect against.
On a public website for anyone to see.
Either every administration since George W. Bush knew about this arrangement and said nothing.
Or nobody in Washington bothered to check a publicly available advisory board list for over a decade.
Both options are equally insane.
And now look at the timing:
Jensen Huang flew to Beijing with Trump in May. Days after he returned, he accepted the Tsinghua board seat.
He did this while simultaneously sitting on Trump’s Council of Advisors on Science and Technology and while Nvidia chips remain BANNED from sale to China.
And he’s not making a private career decision here.
This is a man being used as a diplomatic asset between Washington and Beijing while pretending the export controls he publicly supports actually work.
The same logic applies to every name on that board:
Tim Cook is not advising Tsinghua as a hobby, Larry Fink is not on that board for academic interest, Jamie Dimon is not flying to Beijing for the food.
These men have spent years operating the most powerful informal diplomatic channel between American capital and the Chinese state – listed publicly and hiding in plain sight the entire time.
And the only reason anyone is talking about it now is because Jensen Huang joined three days ago but failed to keep it a “secret.”
Two economists just published a mathematical proof that AI will destroy the economy.
Two economists just published a mathematical proof that AI will destroy the economy. Not might. Not could. Will — if nothing changes. The paper is called “The AI Layoff Trap.” Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence. “At the limit, firms automate their way to boundless productivity and zero demand.” An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself. Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation. The loop has no natural exit. The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements. Every single one failed in the model. The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger. No government has implemented this. No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block’s workforce and said publicly: “Within the next year, the majority of companies will reach the same conclusion.” Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem. Rational behavior. At scale. Simultaneously. With no mechanism to stop it. Two economists built the math. The math leads to one place. Source: Falk & Tsoukalas · Wharton School + Boston University ·
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