Check out the math & physics courses that I mentioned (many of which are free!) and support this channel by going to https://brilliant.org/Sabine/ where you can create your Brilliant account. The first 200 will get 20% off the annual premium subscription.
Today we’ll talk about one of my favorite topics, warp drives. I am fascinated by warp drives because they are future technology straight out of science fiction and yet they are not for any obvious reason impossible. After all, Einstein taught us that space can indeed deform and that distances can indeed shrink and that time can indeed dilate. So why not bend and deform space-time to get us faster from one place to another?
Well, the devil is in the details. While warp drives have been studied in Einstein’s theory of general relativity, they require unphysical stuff: negative energies, repulsive gravity, or things that move faster than light already. In this video, I summarize what new scientific literature has been published on this in the past year, and what progress has been made.
A groundbreaking mathematical equation that could transform medical procedures, natural gas extraction, and plastic packaging production in the future has been discovered.
The new equation, developed by scientists at the University of Bristol, indicates that diffusive movement through permeable material can be modeled exactly for the very first time. It comes a century after world-leading physicists Albert Einstein and Marian von Smoluchowski derived the first diffusion equation, and marks important progress in representing motion for a wide range of entities from microscopic particles and natural organisms to man-made devices.
Until now, scientists looking at particle motion through porous materials, such as biological tissues, polymers, various rocks and sponges have had to rely on approximations or incomplete perspectives.
Check out the math & physics courses that I mentioned (many of which are free!) and support this channel by going to https://brilliant.org/Sabine/ where you can create your Brilliant account. The first 200 will get 20% off the annual premium subscription.
Einstein’s theory of general relativity has made countless correct predictions and yet physicists are constantly trying to prove it wrong. Why? What would it be good for to prove Einstein wrong? And how could it be done? In this video I go through the most promising experiments that physicists currently work on which could prove Einstein wrong.
At opposition, and on surrounding nights, Neptune rises in the east around sunset and will be visible all night long, traveling along the ecliptic (the apparent path of the Sun and planets in Earth’s sky). Neptune can be seen in the constellation of Aquarius, below the “circlet” asterism of Pisces, and to the west of Jupiter.
The planet is in apparent retrograde motion (appearing to travel backwards in its orbit relative to Earth) from June 28 to December 3. Neptune will be at its closest to Earth the day before opposition, September 15, at only 2.7 billion miles (4.3 billion km) distance. At opposition, the Sun’s light will fully illuminate the planet’s surface, casting light directly onto Neptune from Earth’s point of view.
Since it is not visible to the naked eye, Neptune was unknown to astronomers until the 1800s, when it was the first planet to be discovered by mathematical prediction, rather than direct observation, owing to gravitational perturbation on the orbit of Uranus.
The physics of walking for multi-legged animals and robots is simpler than previously thought. That is the finding described by a team of roboticists, physicists and biologists in the Sept. 5 issue of the Proceedings of the National Academy of Sciences, in a paper titled “Walking is like slithering: a unifying, data-driven view of locomotion.”
“This is important because it will allow roboticists to build much simpler models to describe the way robots walk and move through the world,” said paper coauthor Nick Gravish, a faculty member in the Department of Mechanical and Aerospace Engineering at the University of California San Diego.
The researchers had previously studied ant walking and wanted to see how their findings could be applied to robots. In the process, they discovered a new mathematical relationship between walking, skipping, slithering and swimming in viscous fluids for multi-legged animals and bots.
💡 On this channel, I explain the following concepts: • Future and emerging technologies. • Future and emerging trends related to technology. • The connection between Science Fiction concepts and reality.
This video covers the world in a million years and its future technologies. Watch this next video about the world in 10,000 A.D.: bit.ly/373KvDr. ► Support This Channel: https://www.patreon.com/futurebusinesstech. ► Udacity: Up To 75% Off All Courses (Biggest Discount Ever): https://bit.ly/3j9pIRZ ► Brilliant: Learn Science And Math Interactively (20% Off): https://bit.ly/3HAznLL ► Jasper AI: Write 5x Faster With Artificial Intelligence: https://bit.ly/3MIPSYp.
💡 On this channel, I explain the following concepts: • Future and emerging technologies. • Future and emerging trends related to technology. • The connection between Science Fiction concepts and reality.
💡 On this channel, I explain the following concepts: • Future and emerging technologies. • Future and emerging trends related to technology. • The connection between Science Fiction concepts and reality.
Dr. Joscha Bach is VP of Research at AI Foundation and Author of Principles of Synthetic Intelligence, focused on how our minds work, and how to build machines that can perceive, think, and learn.
SHOW NOTES 📝 0:00 Open. 0:17 Hello & welcome. 0:37 Dr. Joscha Bach bio and introduction. 0:56 “It’s an insane world; an amazing time to be alive“ 3:46 Conversation on the S-curve; current instability based on not handling aftermath of collapse of Industrial Revolution society with the advent of the Internet. 8:22 “Either kids or long-term civilization”; carbon sequestration involves not burning any carbon at all. 10:08 Organizing principles conflict with systems bent on infinite growth. 14:30 More on Dr. Bach at Cambridge; entrepreneurial journey leads to MIT and then AI Foundation. 16:23 Relationship between the physical world and our minds; pattern generation; types of computers. 18:10 Mathematics vs. Computation. 19:20 Accidental question-Dr. Bach’s thoughts on psychedelics. 20:27 Turing, “something is true if you can prove it“ 23:14 Quantum computing discussion; Minecraft CPU example; “is our universe efficiently implemented or inefficiently implemented?“ 23:50 Relationship between mind and universe; observational interface. 27:28 Materialism and idealism may complement each other. 29:08 Dream space neural architecture; “you and me are characters in a multimedia novel being authored by the brain”; the collective is part of your dream. 31:51 Necessity of ability to change the way you perceive vs. changing a physical world; perception upgrade is really a will or desire upgrade. 34:12 What is a model? Perspectives of variables and their relationship; probabilities. 35:58 Model convergence to truth aided by probabilities; motivations guide preferences. 38:00 People are born with ideas and then acquire preferences; motivation is how you regulate and push against reality; feedback loop from brain regulating body, awareness and unawareness of loops. 41:28 Needs don’t form a hierarchy; they coexist and compete. 43:00 “the shape of your soul is the hierarchy of your purposes“ 45:26 Neurons; dopamine and other brain chemicals speak many languages; “neurons get fed if you regulate what you want to regulate“ 48:50 Social interaction and brain chemistry; neurons work through pattern recognition, then patterns in the patterns. 51:43 Auditory (and all) senses build layers until we get a unified model of the world/universe. 53:24 Question-who’s in charge of the super-intelligence; single mind; which kind of system; sane/insane implementation. 59:50 Precepts; spatial intelligence; pattern to perception to worldview; intentional self. 1:02:36 Self controls simulations in the brain; “only a simulation can be conscious“ 1:05:05 “The reason why you perceive the world as meaningful is because it’s generated in your mind to model your meaning.“ 1:07:10 Everything you can perceive is generated by your mind; model of architecture. 1:11:45 Use of the DLPFC (dorsolateral prefrontal cortex); “hippocampus has a script”; neurons individually not that important, somewhat interchangeable, just a signal processor. 1:14:52 “Are we individually intelligent?” Not generally so; generations of specialized people talked to each other; rebuilding efforts usually get foundations wrong; “it’s hard to wake a sleeping person; it’s impossible to wake a person pretending to sleep“ 1:17:52 “The family of good people” is a human condition; morals need to guide our decisions but not our model-making. 1:19:00 Human-centric social media; scientists and philosophers are mostly confused people, humble but without answers; Dunning-Kruger Effect. 1:20:40 More on social media; understanding the nature of reality; “which way can I be useful to other people?”; why are we drawn to things that don’t have utility, like politics on current social media. 1:24:20 Social media done right are individual thoughts in the same mind, “Gaia doesn’t exist but it would be very useful to have one”; endgame of social media is a global brain. 1:26:15 Current society optimized for short games; “tumors“ 1:29:02 Lebowski Theorem — “No super-intelligent system is going to do anything that is harder than hacking its own reward function“ 1:31:12 “Imagine you build an AI that is way smarter, why SHOULD it serve us?“ 1:32:20 “Maybe our motivational function is wrapped up in a big ball of stupid so we don’t debug it;” opting out of reality; how can we balance super-intelligence, will, and evolution or conditions of existence. 1:34:08 Philosophical remarks; reiteration that things are just happening, making it very difficult to predict outcomes; there isn’t a running simulation of a better society so it’s difficult to make changes. 1:36:15 Life is about cells, and cells are very rare. 1:38:08 Would have to be a larger, more imperceptible pattern around us and how would we know; Minecraft example.
💡 On this channel, I explain the following concepts: • Future and emerging technologies. • Future and emerging trends related to technology. • The connection between Science Fiction concepts and reality.
