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Donald Trump Jr.'s Private DC Club Has Mysterious Ties to an Ex-Cop With a Controversial Past

WIRED

Donald Trump Jr.'s Private DC Club Has Mysterious Ties to an Ex-Cop With a Controversial Past The Executive Branch has a reported membership list that includes Trumpworld elites like David Sacks. A WIRED review of corporate filings reveals an under-the-radar player: a notorious former DC police officer. When the Executive Branch soft-launched in Washington, DC, last spring, the private club's initial buzz centered on its starry roster of backers and founding members. The president's eldest son, Donald Trump Jr., is one of the club's several co-owners, according to previous reporting. Founding members reportedly include Trump administration AI czar David Sacks and his podcast cohost Chamath Palihapitiya, as well as crypto bigwigs Tyler and Cameron Winklevoss.


Atmospheric pollution caused by space junk could be a huge problem

New Scientist

After a Falcon 9 rocket stage burned up in the atmosphere, vaporised lithium and other metals drifted over Europe. A SpaceX rocket that burned up after re-entering the atmosphere unleashed a plume of vaporised metals over Europe, a type of pollution that is expected to increase as spacecraft and satellites multiply. The upper stage of a Falcon 9, which is designed to splash down in the Pacific Ocean for possible re-use, lost control due to engine failure and fell from orbit over the north Atlantic in February 2025. We're finally solving the puzzle of how clouds will affect our climate People across Europe saw fiery debris streaking through the sky, some of which crashed behind a warehouse in Poland. Seeing the news, Robin Wing at the Leibniz Institute of Atmospheric Physics in Germany and his colleagues turned on their lidar, an instrument for atmospheric sensing.


The tiny tuxedo cat who became a naval hero

Popular Science

A 17-year-old British sailor saved Simon from the Hong Kong docks when he was likely a year old. Breakthroughs, discoveries, and DIY tips sent six days a week. One day in March of 1948, George Hickinbottom, a British sailor, was walking around the docks of Stonecutters Island in Hong Kong. When the 17-year-old spotted a small black-and-white tuxedo cat, barely out of kittenhood, he decided to smuggle the hungry, scrawny animal aboard his ship, the HMS . Hickinbottom didn't get in trouble.


How Nick Land Became Silicon Valley's Favorite Doomsayer

The New Yorker

Nick Land believes that digital superintelligence is going to kill us all. In San Francisco, his followers ask: What if, instead of trying to stop an A.I. takeover, you work to bring it on as fast as possible? In the spring of 1994, at a philosophy conference on a run-down modernist campus in the English Midlands, a group of academics, media theorists, artists, hackers, and d.j.s gathered to hear a young professor give a talk at a conference called "Virtual Futures." It was ten o'clock in the morning, and most of the attendees were wiped out from a rave that had taken place in the student union the night before. But the talk--titled "Meltdown"--was highly anticipated. The professor, Nick Land, was tenured in the philosophy department at the University of Warwick, at the time one of the top philosophy programs in the U.K. Land had gained a cult following for his radical anti-humanism, his wild predictions about the future of technology, and his erratic teaching style. Soon, his academic presentations would become increasingly "experimental"; at a conference in 1996, he lay on the floor, reciting cut-up poetry in what an attendee described as a "demon voice" while jungle music played in the background.







Supplementary Material for CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement Anonymous Author(s) Affiliation Address email Appendix 1

Neural Information Processing Systems

Correlation mechanism to capture cross-time dependency for forecasting. Besides, the dimension of the channel is set to 16 based on efficiency considerations. Weather, and the look-back window size is set as 96. Proposition 2. The time and space complexity for the Cross-variable GNN is Frequency enhanced decomposed transformer for long-term series forecasting.