Time is fundamental, it is much of what ‘being’ is about. It is central to reality. It is central to our lived experience, it is central to our hopes and dreams. But as central as it is, it is still an enigma.
Time is a knotty problem for physics, metaphysics, philosophy, religion, something fundamental to our existence and experience but for thousands of years and billions of person hours of contemplation and analysis it escapes understanding. Like others down the centuries I find that the more I think about it the harder to grasp it becomes.
Pragmatically there is only the local now, a few moments from the past and a glance into the future. Practically there is the Past and the Future, now is just a transition from one to the other.
What is time? It seems like it is about change, and times arrow is provided by entropy, the slow winding down of the universe.
Existence, the now, is only the Plank Time instant. What stitches the universe together are memory(enabled by change) and imagination (enabled by memory.)
One option of quantum physics says that it is the conscious mind that ‘collapses’ the probability function to one reality. In that view it is our mind-memory that provides a crashing rock against which universal potentiality breaks into reality. Is it us, stitching together the universe?
Why do we talk about timespace? Because time has no meaning without space and space no meaning without time. Imagine an infinite cube of arbitrary complexity. Without time nothing about it has any meaning. You cannot travel from one point to another, there is no energy, because no movement, nothing can move, because movement is about change of location and that has no meaning with no time. Equally, without space, time has no meaning, there is nothing to change, one could say something can endure or wind down but without space for that to occur it has no meaning.
So we ‘live’ in timespace that we instantiate and make objective. It is still real in that the physics of it are fixed (probably) but is it possible that it is our (or other consciousnesses) that take possibility and harden it to reality and inflate the universe around us, out to the limits of our questing minds?
Axiom is not as famous as SpaceX or BlueOrigin, even Boeing or NG but it is setting up to be a big noise in commercial space. “Axiom Space, Inc., which is developing the world’s first commercial space station, has raised $130M in Series B funding”
In January 2020, NASA selected Axiom to begin attaching its own space station modules to the International Space Station (ISS) as early as 2024, marking the company as a primary driver of NASA’s broad strategy to commercialize LEO. While in its assembly phase, Axiom Station will increase the current usable and habitable volume on ISS and provide expanded research opportunities. By late 2028, Axiom Station will be ready to detach when the ISS is decommissioned and operate independently as its privately owned successor.
From the above ParabolicArc article.
But they are already in the ride share business, setting up launches of multiple smaller missions on one booster, Axiom buying the ride then working with the launch customers to integrate their satellites on the mission bus. Another recent milestone:
Seems like there must have been a mash up of astrophysics/cosmology/cybernetics a couple of weeks ago there have been a series of articles about computers and the universe. One series pointing out that once could conceive of using the AGB stars in their ‘dusting mode’ (above) as a computing engine.
But on the other side there have been a couple of articles that touch on the metaphysical (philosophical basis of reality) concept that we and our universe, are one vast simulation.
…Oxford philosopher Nick Bostrom’s philosophical thought experiment that the universe is a computer simulation. If that were true, then fundamental physical laws should reveal that the universe consists of individual chunks of space-time, like pixels in a video game. “If we live in a simulation, our world has to be discrete,”….
….a discrete field theory, which views the universe as composed of individual bits and differs from the theories that people normally create. While scientists typically devise overarching concepts of how the physical world behaves, computers just assemble a collection of data points…..
…A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system….
… devised by a scientist at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), applies machine learning, the form of artificial intelligence (AI) that learns from experience, to develop the predictions.
Qin (pronounced Chin) created a computer program into which he fed data from past observations of the orbits of Mercury, Venus, Earth, Mars, Jupiter, and the dwarf planet Ceres. This program, along with an additional program known as a ‘serving algorithm,’ then made accurate predictions of the orbits of other planets in the solar system without using Newton’s laws of motion and gravitation. “Essentially, I bypassed all the fundamental ingredients of physics. I go directly from data to data,” Qin said. “There is no law of physics in the middle…
…”Usually in physics, you make observations, create a theory based on those observations, and then use that theory to predict new observations,” said PPPL physicist Hong Qin, author of a paper detailing the concept in Scientific Reports. “What I’m doing is replacing this process with a type of black box that can produce accurate predictions without using a traditional theory or law.”…
Ok so now I am going to go a bit sideways and you may want to just go on about your internet day. But while I laude Qin and his team I have a bit of an issue with what he claims re the basis is Philosophy. Not the claim that the discrete field theory sparked his concept exploration. But that the actual system he developed has anything to say about that metaphysical theory.
Taking nothing away from the team what I see seems like a straightforward application of machine learning. In fact a relatively simple one though I would laude the whole idea of applying it to physics in general. A very interesting though, like many interesting insights, oddly obvious is retrospect. (Sorry for the repeated Though clauses…I absolutely see this as fascinating insight…and possibly extremely important…it just seems like D’oh in retrospect.)
As physics is very much aligned with mathematics (I think because the discovery of each was feedback on the other) and mathematics and cybernetics are also deeply intwined it should come as no surprise that computer systems designed to create black box solutions, when fed the right kind of data, will create a black box model of physical phenomena.
The output of science are tools that allow us to predict finite things about the universe we live in, repeatably and accurately. These tools are often used by engineers to enable technologyy that make life better for everyone.
But in many ways this is an engineers (relatively narrow) viewpoint. To some large degree an engineer does not care why the tool works, only that it does and how accurately. Counter to that, a strength of the theory based + mathematical model approach is that it gives you a tool to link the rest of reality to the ‘discrete’ piece you are working on right now. A jumping off point or a linking point to other theories that allows us to move onto other problems and link the
And/But (you knew it was coming) i wonder if this has anything to do with discrete field theory per se. Maybe if the learning algorithm used had that in it this would show something of that nature, but otherwise I do not see this as showing anything in particular other than the ability of learning systems which are in some sense continuous not discrete systems to develop predictive models directly from the data (as Qin says) rather than through the labor intensive methods of theory extraction and proof that has been the basis for scientific exploration since it first evolved in the Middle Ages.
Again BUT, it has been getting harder to develop these ‘deep’ theories. Look at the colliders and other tools that physicists use these days to probe the depths of our reality. In this world there are many things, like Qin’s next test with Nuclear Fusion, where an engineering model might be much more valuable than a ‘theory of this’ if it can be captured and used in a fraction of the time.
It’s all good, fascinating, wonderful…but let’s not get ahead of ourselves.
The Wow! signal has a storied history in the SETI community, a one-off detection at the Ohio State ‘Big Ear’ observatory in 1977 that Jim Benford, among others, considers the most interesting candidate signal ever received. A plasma physicist and CEO of Microwave Sciences, Benford returns to Centauri Dreams today with a closer look at the signal and its striking characteristics, which admit to a variety of explanations, though only one that the author believes fits all the parameters. A second reception of the Wow! might tell us a great deal, but is such an event likely? So far all repeat observations have failed and, as Benford points out, there may be reason to assume they must. The essay below is a shorter version of the paper Jim has submitted to Astrobiology.
These craft and others such as craft like the voyagers continue to return immensely valuable data long after their primary mission is complete. One of the things NASA and other space science organizations struggle with is supporting these ships long after the original funding timeline is past. This is a great problem to have and by and large the money is found since these are very cheap deep space projects in the big picture.
So my title, the economy of ‘outer space’ is all about data, science, prospecting right now. These are valuable assets that we need to support to provide returns orders of magnitude greater than the cost in the sense of other ways of getting that data, data that is both live affirming in its fascination and valuable as part of the bedrock of our understanding of the universe.