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Scientists invent method to extract gold from liquid waste
The next gold rush might take place in our sewers.
- Even though we think of it as exceedingly rare, gold can be found all around us.
- The trouble is, most of the gold is hard to get at; its too diluted in our waste or ocean waters to effectively extract.
- This new technique quickly, easily, and reliably extracts gold from most liquids.
Even though the thought of gold calls to mind incredible wealth hidden underground or horded away in Fort Knox, you can actually find the stuff all over the place. there's gold in nearly every kind of consumer electronic, gold in our sewage, gold in the cracks of New York City sidewalks, and even trace amounts in our brains. The trouble isn't that gold is rare, per se, it's just hard to get to.
In human history, we've mined about 190,000 tons of gold out of the ground. If you want to visualize that amount, it would fit in a box about 20 m on each side; not all that much in the grand scheme of things. We've been able to get at this because it was stored in a way that's relatively easy for us to access. It was buried in the Earth, so we just had to dig it up. In contrast, we've estimated that there's about 20 million tons of gold in the ocean—it's just distributed throughout the seas, making it difficult to refine and extract.
In the past, we didn't use gold for much of anything besides as a method to store value, so the fact that most gold on Earth was inaccessible was more of a feature than a bug. But now, we're increasingly finding practical applications for the precious metal. It can be used in medicine to treat arthritis or for dentistry; it's an excellent conductor, so it can be used in electronics and communication technology; and it reflects infrared radiation, so we use it on our spacecraft and spacesuits. Suddenly, getting at those 20 million tons of gold in the ocean and elsewhere on Earth has become more about technological and societal progress than about accumulating wealth.
New research from the Journal of the American Chemical Society has uncovered one of the most effective methods to date to extract gold from liquids. That includes electronic waste, sewage, ocean water, waste water—almost any liquid where we might find gold. Just to highlight how potentially useful this is, sewage from Switzerland alone is estimated to carry away 1.8 million dollars' worth of gold every year.
Making a sponge for gold
The object to the left shows the basic framework, a lattice of iron ion clusters connected by organic molecules. On this structure, a polymer that helps catch gold is coated, represented by the purple dots.
Sun et al. 2018
The method consists of a metal-organic framework—essentially, clusters metal ions connected by an organic "skeleton." In this case, the framework consists of iron ions connected by an organic compound called 1,3,5-benzenetricarboxylate. The researchers then coated this structure in a polymer with an even more difficult-to-pronounce name (for the curious, it's poly-para-phenylenediamine, or PpDA), which helps the framework catch stray molecules of gold.
Essentially, the framework and polymer work as a very granular sponge, only this sponge doesn't hold soap or water; instead, it holds gold.
Other researchers have built structures like this one before, but the new framework works exceptionally well. For every gram of this gold-seeking sponge submerged in a liquid, it can hold up to a gram of gold. What's more, it can catch 99% of the gold in a given solution in as little as two minutes.
Once the framework's sucked up the gold, it can easily be destroyed to retrieve the gold captured inside. The figure below shows how this works. After it's been suspended in a gold-containing solution, the framework is dissolved in hydrochloric acid. After some time, all that's left is 23.9 K gold, which is the highest purity of gold reclaimed from similar projects.
On the left, a sample of liquid is shown with the new material suspended inside. After the material is dissolved in acid, 23.9 K gold particles are leftover. On the right side, the gold particles are shown under a microscope.
Sun et al. 2018
The researchers tested the method out in a few different real-world cases. One of the most useful applications for a method like this is in reclaiming gold from electronic waste. It can take as much as a ton of gold ore to build just 40 smartphones, so getting the gold out of electronic waste would be extremely practical.
The researchers physically removed the metal from a CPU and treated it with some chemicals to form a solution. In the figure below, you can see that this produced a blue solution. So far, this technique is nothing new. The trouble is that a CPU also contains copper and nickel as well as gold, all of which is mixed up in this solution. So, the trick is how to get the really valuable metal out of the mixture. Using the new method, the researchers managed to get 95% of the gold out of the solution.
The top-left image shows a regular CPU. To its right, we can see the various elements that comprise the CPU (copper, nickel, and gold). In the bottom-left corner, we can see the CPU after its material has been physically removed. The image to its right shows the material dissolved into a blue solution and a graph showing how much of each material the new method recovered from the solution.
Sun et al. 2018
They found similar results with different liquids, too. The new framework captured 99% of gold from Swiss sewage (which, if you'll recall, allegedly washes away $1.8 million worth of gold every year). The researchers also tried extracting gold from seawater, and, once again, they were able to extract 99% of gold from their sample. These last two examples are especially promising; sewage and seawater contain a huge variety of different compounds that could interfere with any kind of filtering system.
We're still a long way off from, say, filtering the oceans for the precious metals they contain. But as we continue to use up the easily accessible resources buried in the Earth, exploring new techniques like this will be important if we want to continue to use smartphones, explore space, and collectively advance as a society.
Inventions with revolutionary potential made by a mysterious aerospace engineer for the U.S. Navy come to light.
- U.S. Navy holds patents for enigmatic inventions by aerospace engineer Dr. Salvatore Pais.
- Pais came up with technology that can "engineer" reality, devising an ultrafast craft, a fusion reactor, and more.
- While mostly theoretical at this point, the inventions could transform energy, space, and military sectors.
The U.S. Navy controls patents for some futuristic and outlandish technologies, some of which, dubbed "the UFO patents," came to life recently. Of particular note are inventions by the somewhat mysterious Dr. Salvatore Cezar Pais, whose tech claims to be able to "engineer reality." His slate of highly-ambitious, borderline sci-fi designs meant for use by the U.S. government range from gravitational wave generators and compact fusion reactors to next-gen hybrid aerospace-underwater crafts with revolutionary propulsion systems, and beyond.
Of course, the existence of patents does not mean these technologies have actually been created, but there is evidence that some demonstrations of operability have been successfully carried out. As investigated and reported by The War Zone, a possible reason why some of the patents may have been taken on by the Navy is that the Chinese military may also be developing similar advanced gadgets.
Among Dr. Pais's patents are designs, approved in 2018, for an aerospace-underwater craft of incredible speed and maneuverability. This cone-shaped vehicle can potentially fly just as well anywhere it may be, whether air, water or space, without leaving any heat signatures. It can achieve this by creating a quantum vacuum around itself with a very dense polarized energy field. This vacuum would allow it to repel any molecule the craft comes in contact with, no matter the medium. Manipulating "quantum field fluctuations in the local vacuum energy state," would help reduce the craft's inertia. The polarized vacuum would dramatically decrease any elemental resistance and lead to "extreme speeds," claims the paper.
Not only that, if the vacuum-creating technology can be engineered, we'd also be able to "engineer the fabric of our reality at the most fundamental level," states the patent. This would lead to major advancements in aerospace propulsion and generating power. Not to mention other reality-changing outcomes that come to mind.
Among Pais's other patents are inventions that stem from similar thinking, outlining pieces of technology necessary to make his creations come to fruition. His paper presented in 2019, titled "Room Temperature Superconducting System for Use on a Hybrid Aerospace Undersea Craft," proposes a system that can achieve superconductivity at room temperatures. This would become "a highly disruptive technology, capable of a total paradigm change in Science and Technology," conveys Pais.
High frequency gravitational wave generator.
Credit: Dr. Salvatore Pais
Another invention devised by Pais is an electromagnetic field generator that could generate "an impenetrable defensive shield to sea and land as well as space-based military and civilian assets." This shield could protect from threats like anti-ship ballistic missiles, cruise missiles that evade radar, coronal mass ejections, military satellites, and even asteroids.
Dr. Pais's ideas center around the phenomenon he dubbed "The Pais Effect". He referred to it in his writings as the "controlled motion of electrically charged matter (from solid to plasma) via accelerated spin and/or accelerated vibration under rapid (yet smooth) acceleration-deceleration-acceleration transients." In less jargon-heavy terms, Pais claims to have figured out how to spin electromagnetic fields in order to contain a fusion reaction – an accomplishment that would lead to a tremendous change in power consumption and an abundance of energy.
According to his bio in a recently published paper on a new Plasma Compression Fusion Device, which could transform energy production, Dr. Pais is a mechanical and aerospace engineer working at the Naval Air Warfare Center Aircraft Division (NAWCAD), which is headquartered in Patuxent River, Maryland. Holding a Ph.D. from Case Western Reserve University in Cleveland, Ohio, Pais was a NASA Research Fellow and worked with Northrop Grumman Aerospace Systems. His current Department of Defense work involves his "advanced knowledge of theory, analysis, and modern experimental and computational methods in aerodynamics, along with an understanding of air-vehicle and missile design, especially in the domain of hypersonic power plant and vehicle design." He also has expert knowledge of electrooptics, emerging quantum technologies (laser power generation in particular), high-energy electromagnetic field generation, and the "breakthrough field of room temperature superconductivity, as related to advanced field propulsion."
Suffice it to say, with such a list of research credentials that would make Nikola Tesla proud, Dr. Pais seems well-positioned to carry out groundbreaking work.
A craft using an inertial mass reduction device.
Credit: Salvatore Pais
The patents won't necessarily lead to these technologies ever seeing the light of day. The research has its share of detractors and nonbelievers among other scientists, who think the amount of energy required for the fields described by Pais and his ideas on electromagnetic propulsions are well beyond the scope of current tech and are nearly impossible. Yet investigators at The War Zone found comments from Navy officials that indicate the inventions are being looked at seriously enough, and some tests are taking place.
If you'd like to read through Pais's patents yourself, check them out here.
Laser Augmented Turbojet Propulsion System
Credit: Dr. Salvatore Pais
Seek pleasure and avoid pain. Why make it more complicated?
- The Epicureans were some of the world's first materialists and argued that there is neither God, nor gods, nor spirits, but only atoms and the physical world.
- They believed that life was about finding pleasure and avoiding pain and that both were achieved by minimizing our desires for things.
- The Epicurean Four Step Remedy is advice on how we can face the world, achieve happiness, and not worry as much as we do.
Self-help books are consistently on the best-seller lists across the world. We can't seem to get enough of happiness advice, wellness gurus, and life coaches. But, as the Book of Ecclesiastes says, there is nothing new under the sun. The Ancient Greeks were into the self-help business millennia before the likes of Dale Carnegie and Mark Manson.
Four schools of ancient Greek philosophy
From the 3rd century BCE until the birth of Jesus, Greek philosophy was locked into an ideological war. Four rival schools emerged, each proclaiming loudly that they — alone — had the secret to a happy and fulfilled life. These schools were: Stoicism, Cynicism, Skepticism, and Epicureanism. Each had their advocates and even had a kind of PR battle to get people to sign up to their side. They were trying to sell happiness.
Epicurus's guide to living is noticeably different from a lot of modern self-help books in just how little day-to-day advice it gives.
Many of us are familiar with Stoicism, a topic I covered recently, because it forms the foundation of cognitive behavioral therapy. Skepticism and Cynicism have become watered down or warped variations of their original forms. (I will cover these in future articles.) Today, we focus on the most underappreciated of these schools, the Epicureans. In their philosophy, we can find a surprisingly modern and easy-to-follow "Four Part Remedy" to life.
Epicureans: The first atheists
The Epicureans were some of history's first materialists. They believed that the world was made up only of atoms (and void), and that everything is simply a particular composition of these atoms. There were no gods, spirits, or souls (or, at most, they're irrelevant to the world as we encounter it). They thought that there was no afterlife or immortality to be had, either. Death is just a relocation of atoms. This atheism and materialism was what the Christian Church would later come to despise, and after centuries of being villainized by priests, popes, and church doctrine, the Epicureans fell out of fashion.
In the atomistic, worldly philosophy of the Epicureans, all there is to life is to get as much pleasure as you can and avoid pain. This isn't to become some rampant hedonist, staggering from opium dens to brothels, but concerns the higher pleasures of the mind.
Epicurus, himself, believed that pleasure was defined as the satisfying of a desire, such as when we drink a glass of water when we're really thirsty. But, he also argued that desires themselves were painful since they, by definition, meant longing and anguish. Thirst is a desire, and we don't like being thirsty. True contentment, then, could not come from creating and indulging pointless wants but must instead come from minimizing desire altogether. What would be the point of setting ourselves new targets? These are just new desires that we must make efforts to satisfy. Thus, minimizing pain meant minimizing desires, and the bare minimum desires were those required to live.
The Four Part Remedy
Given that Epicureans were determined to maximize pleasure and minimize pain, they developed a series of rituals and routines designed to help. One of the best known (not least because we've lost so much written by the Epicureans) was the so-called "Four Part Remedy." These were four principles they believed we ought to accept so that we might find solace and be rid of existential and spiritual pain:
1. Don't fear God. Remember, everything is just atoms. You won't go to hell, and you won't go to heaven. The "afterlife" will be nothingness, in just the same way as when you had no awareness whatsoever of the dinosaurs or Cleopatra. There was simply nothing before you existed, and death is a great expanse of the same timeless, painless void.
2. Don't worry about death. This is a natural corollary of Step 1. With no body, there is no pain. In death, we lose all of our desires and, along with them, suffering and discontent. It's striking how similar in tone this sounds to a lot of Eastern, especially Buddhist, philosophy at the time.
3. What is good is easy to get. Pleasure comes in satisfying desires, specifically the basic, biological desires required to keep us alive. Anything more complicated than this, or harder to achieve, just creates pain. There's water to be drunk, food to be eaten, and beds to sleep in. That's all you need.
4. What is terrible is easy to endure. Even if it is difficult to satisfy the basic necessities, remember that pain is short-lived. We're rarely hungry for long, and sicknesses most often will be cured easily enough (and this was written 2300 years before antibiotics). All other pains often can be mitigated by pleasures to be had. If basic biological necessities can't be met, then you die — but we already established there is nothing to fear from death.
Epicurus's guide to living is noticeably different from a lot of modern self-help books in just how little day-to-day advice it gives. It doesn't tell us "the five things you need to do before breakfast" or "visit these ten places, and you'll never be sad again." Just like it's rival school of Stoicism, Epicureanism is all about a psychological shift of some kind.
Namely, that psychological shift is about recognizing that life doesn't need to be as complicated as we make it. At the end of the day, we're just animals with basic needs. We have the tools necessary to satisfy our desires, but when we don't, we have huge reservoirs of strength and resilience capable of enduring it all. Failing that, we still have nothing to fear because there is nothing to fear about death. When we're alive, death is nowhere near; when we're dead, we won't care.
Practical, modern, and straightforward, Epicurus offers a valuable insight to life. It's existential comfort for the materialists and atheists. It's happiness in four lines.
- The history of AI shows boom periods (AI summers) followed by busts (AI winters).
- The cyclical nature of AI funding is due to hype and promises not fulfilling expectations.
- This time, we might enter something resembling an AI autumn rather than an AI winter, but fundamental questions remain if true AI is even possible.
The dream of building a machine that can think like a human stretches back to the origins of electronic computers. But ever since research into artificial intelligence (AI) began in earnest after World War II, the field has gone through a series of boom and bust cycles called "AI summers" and "AI winters."
Each cycle begins with optimistic claims that a fully, generally intelligent machine is just a decade or so away. Funding pours in and progress seems swift. Then, a decade or so later, progress stalls and funding dries up. Over the last ten years, we've clearly been in an AI summer as vast improvements in computing power and new techniques like deep learning have led to remarkable advances. But now, as we enter the third decade of the 21st century, some who follow AI feel the cold winds at their back leading them to ask, "Is Winter Coming?" If so, what went wrong this time?
How to build an A.I. brain that can conceive of itself | Joscha Bach | Big Think www.youtube.com
A brief history of AI
To see if the winds of winter are really coming for AI, it is useful to look at the field's history. The first real summer can be pegged to 1956 and the famous Dartmouth University Workshop where one of the field's pioneers, John McCarthy, coined the term "artificial intelligence." The conference was attended by scientists like Marvin Minsky and H. A. Simon, whose names would go on to become synonymous with the field. For those researchers, the task ahead was clear: capture the processes of human reasoning through the manipulation of symbolic systems (i.e., computer programs).
Unless we are talking about very specific tasks, any 6-year-old is infinitely more flexible and general in his or her intelligence than the "smartest" Amazon robot.
Throughout the 1960s, progress seemed to come swiftly as researchers developed computer systems that could play chess, deduce mathematical theorems, and even engage in simple discussions with a person. Government funding flowed generously. Optimism was so high that, in 1970, Minsky famously proclaimed, "In three to eight years we will have a machine with the general intelligence of a human being."
By the mid 1970s, however, it was clear that Minsky's optimism was unwarranted. Progress stalled as many of the innovations of the previous decade proved too narrow in their applicability, seeming more like toys than steps toward a general version of artificial intelligence. Funding dried up so completely that researchers soon took pains not to refer to their work as AI, as the term carried a stink that killed proposals.
The cycle repeated itself in the 1980s with the rise of expert systems and the renewed interest in what we now call neural networks (i.e., programs based on connectivity architectures that mimic neurons in the brain). Once again, there was wild optimism and big increases in funding. What was novel in this cycle was the addition of significant private funding as more companies began to rely on computers as essential components of their business. But, once again, the big promises were never realized, and funding dried up again.
AI: Hype vs. reality
The AI summer we're currently experiencing began sometime in the first decade of the new millennium. Vast increases in both computing speed and storage ushered in the era of deep learning and big data. Deep learning methods use stacked layers of neural networks that pass information to each other to solve complex problems like facial recognition. Big data provides these systems with vast oceans of examples (like images of faces) to train on. The applications of this progress are all around us: Google Maps give you near-perfect directions; you can talk with Siri anytime you want; IBM's Deep Think computer beat Jeopardy's greatest human champions.
In response, the hype rose again. True AI, we were told, must be just around the corner. In 2015, for example, The Guardian reported that self-driving cars, the killer app of modern AI, was close at hand. Readers were told, "By 2020 you will become a permanent backseat driver." And just two years ago, Elon Musk claimed that by 2020 "we'd have over a million cars with full self-driving software."
The general intelligence — i.e., the understanding — we humans exhibit may be inseparable from our experiencing. If that's true, then our physical embodiment, enmeshed in a context-rich world, may be difficult if not impossible to capture in symbolic processing systems.
By now, it's obvious that a world of fully self-driving cars is still years away. Likewise, in spite of the remarkable progress we've made in machine learning, we're still far from creating systems that possess general intelligence. The emphasis is on the term general because that's what AI really has been promising all these years: a machine that's flexible in dealing with any situation as it comes up. Instead, what researchers have found is that, despite all their remarkable progress, the systems they've built remain brittle, which is a technical term meaning "they do very wrong things when given unexpected inputs." Try asking Siri to find "restaurants that aren't McDonald's." You won't like the results.
Unless we are talking about very specific tasks, any 6-year-old is infinitely more flexible and general in his or her intelligence than the "smartest" Amazon robot.
Even more important is the sense that, as remarkable as they are, none of the systems we've built understand anything about what they are doing. As philosopher Alva Noe said of Deep Think's famous Jeopardy! victory, "Watson answered no questions. It participated in no competition. It didn't do anything. All the doing was on our side. We played Jeapordy! with Watson." Considering this fact, some researchers claim that the general intelligence — i.e., the understanding — we humans exhibit may be inseparable from our experiencing. If that's true, then our physical embodiment, enmeshed in a context-rich world, may be difficult if not impossible to capture in symbolic processing systems.
Not the (AI) winter of our discontent
Thus, talk a of a new AI winter is popping up again. Given the importance of deep learning and big data in technology, it's hard to imagine funding for these domains drying up any time soon. What we may be seeing, however, is a kind of AI autumn when researchers wisely recalibrate their expectations and perhaps rethink their perspectives.
A new study explores how investors' behavior is affected by participating in online communities, like Reddit's WallStreetBets.