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Tesla is like Cholesterol 😂…


Tesla has been steeped in chaos – and chaos is absolutely the opposite of what a complex manufacturing, distribution, and retail operation needs. Musk himself has sowed that chaos. And he relentlessly continues to sow it.

One of his recent antics was that he told employees in this email last week that the company would embark on a cost-cutting drive that would entail that “all expenses of any kind anywhere in the world, including parts, salary, travel expenses, rent, literally every payment that leaves our bank account must (be) reviewed” by the CFO, and that Musk himself would sign off on every 10th page of expenses.

The CFO and Musk will be busy reviewing and signing off on janitorial department purchases of cleaning materials and toilet paper. The hope is that this amount of work will keep Musk off Twitter, but those hopes too will be dashed.

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Continuing from Motherboard, “In an email to Motherboard, a DARPA spokesperson said that four research teams have received allotments of the $45 million funding from the agency as a part of Insect Allies, and that all teams have now entered phase two. The teams include researchers from Penn State University, the University of Texas, and Ohio State University.”

It isn’t difficult to tell what opinion this article represents. Do we need this, or want to trust people with placing genetically modified viruses in the crops that become our grocery store produce?

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The first direct image of the M87 Galaxy’s supermassive black hole that’s almost the size of our solar system required telescopes of unprecedented precision and sensitivity to give the human species a look into the unknown. The realization of this telescope – the Event Horizon Telescope – was a formidable challenge which required upgrading and connecting a planet-scale network of eight pre-existing telescopes deployed at a variety of challenging high-altitude sites, including volcanoes in Hawaii and Mexico, mountains in Arizona and the Spanish Sierra Nevada, the Chilean Atacama Desert, and Antarctica.

We gave humanity its first view of a black hole — “a one-way door out of our universe,” said EHT project director Sheperd S. Doeleman of the Center for Astrophysics, of the image of the massive black hole at the center of elliptical galaxy M87 as it was 55 million years ago “This is a landmark in astronomy, an unprecedented scientific feat accomplished by a team of more than 200 researchers.”

“The gates of hell, the end of space and time.” That was how black holes were described at the press conference in Brussels where the first ever photograph of one was revealed. The black hole, a super-massive object at the center of M87 shown above, really is a monster, observed Ellie Mae O’Hagan for The Guardian. “Everything unfortunate enough to get too close to it falls in and never emerges again, including light itself. It’s the point at which every physical law of the known universe collapses. Perhaps it is the closest thing there is to hell: it is an abyss, a moment of oblivion.”

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Extremely happy to be able to already share with you the two videos from our last salon🚀! We gathered not one but three individuals who have been pre-eminent luminaries in their fields for 30 years to discuss their alternative approaches to the current AI paradigm: Kim Eric Drexler, Robin Hanson, and Mark S. Miller.


Allison Duettmann (Foresight Institute) discusses alternative approaches to the current AI paradigm with three individuals who have been pre-eminent luminaries in their fields for 30 years: Eric Drexler, Robin Hanson, and Mark S. Miller.

Eric Drexler:

Drexler is widely known for his seminal studies of advanced nanosystems and scalable atomically precise manufacturing (APM), a prospective technology using arrays of nanoscale devices to guide chemically-reactive molecular encounters, thereby structuring matter from the bottom up. Drexler’s current research explores prospects for advanced AI technologies from the perspective of structured systems development, potential applications, and global implications. Key considerations in this work include advances in AI-enabled automation of AI research and development, and the potential role of thorough automation in accelerated development of comprehensive AI services.

Mark S. Miller: