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Could an exotic super heavy element provide the key to humanity’s future in the stars? According to physicist Bob Lazar, “Element 115” is the fuel source for an alien spacecraft he was hired to reverse-engineer by the U.S. government—and if we can harness its awesome power, it will change our world forever.

Future spaceships could use black holes as powerful launch pads to explore the stars.

A new study envisions firing laser beams that would curve around a black hole and come back with added energy to help propel a spacecraft to near the speed of light. Astronomers could look for signs that alien civilizations are using such a “halo drive,” as the study dubs it, by seeing if pairs of black holes are merging more often than expected.

Study author David Kipping, an astrophysicist at Columbia University in New York, came up with the idea of the halo drive through what he calls “the gamer’s mindset.”

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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:

The kilogram isn’t a thing anymore. Instead, it’s an abstract idea about light and energy.

As of today (May 20), physicists have replaced the old kilogram — a 130-year-old, platinum-iridium cylinder weighing 2.2 pounds (1 kilogram) sitting in a room in France — with an abstract, unchanging measurement based on quadrillions of light particles and Planck’s constant (a fundamental feature of our universe).

In one sense, this is a grand (and surprisingly difficult) achievement. The kilogram is fixed forever now. It can’t change over time as the cylinder loses an atom here or an atom there. That means humans could communicate this unit of mass, in terms of raw science, to space aliens. The kilogram is now a simple truth, an idea that can be carried anywhere in the universe without bothering to bring a cylinder with you.

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A radically new view articulated now by a number of digital philosophers is that consciousness, quantum computational and non-local in nature, is resolutely computational, and yet, has some “non-computable” properties. Consider this: English language has 26 letters and about 1 million words, so how many books could be possibly written in English? If you are to build a hypothetical computer containing all mass and energy of our Universe and ask it this question, the ultimate computer wouldn’t be able to compute the exact number of all possible combinations of words into meaningful story-lines in billions of years! Another example of non-computability of combinatorics: if you are to be born and live your own life again and again in our Quantum Multiverse, you could live googolplex (10100) lives, but they all would be somewhat different — some of them drastically different from the life you’re living right now, some only slightly — never quite the same, and timeline-indeterminate.

Another kind of non-computability is akin to fuzzy logic but based on pattern recognition. Deeper understanding refers to a situation when a conscious agent gets to perceive numerous patterns in complex environments and analyze that complexity from the multitude of perspectives. That is beautifully encapsulated by Isaiah Berlin’s quote: “To understand is to perceive patterns.” The ability to recognize patterns in chaos is not straightforwardly algorithmic but rather meta-algorithmic and yet, I’d argue, deeply computational. The types of non-computability that I just described may somehow relate to the non-computable element of quantum consciousness to which Penrose refers in his work.

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We have reached a turning point in society. According to renowned theoretical physicist Michio Kaku, the next 100 years of science will determine whether we perish or thrive. Will we remain a Type 0 civilization, or will we advance and make our way into the stars?

Experts assert that, as a civilization grows larger and becomes more advanced, its energy demands will increase rapidly due to its population growth and the energy requirements of its various machines. With this in mind, the Kardashev scale was developed as a way of measuring a civilization’s technological advancement based upon how much usable energy it has at its disposal (this was originally just tied to energy available for communications, but has since been expanded).

The scale was originally designed in 1964 by the Russian astrophysicist Nikolai Kardashev (who was looking for signs of extraterrestrial life within cosmic signals). It has 3 base classes, each with an energy disposal level: Type I (10¹⁶W), Type II (10²⁶W), and Type III (10³⁶W). Other astronomers have extended the scale to Type IV (10⁴⁶W) and Type V (the energy available to this kind of civilization would equal that of all energy available in not just our universe, but in all universes and in all time-lines). These additions consider both energy access as well as the amount of knowledge the civilizations have access to.

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