Posts Tagged ‘Atomic Age’
“A physicist is just an atom’s way of looking at itself”*…
Encouraged by successes in understanding black holes, theoretical physicists are applying what they’ve learned to whole universes. As Matt von Hippel explains, what they’re finding has them questioning fundamental assumptions about how physics ought to be done…
Tinkering at their desks with the mathematics of quantum space and time, physicists have discovered a puzzling conundrum. The arcane rules of quantum theory and gravity let them imagine many different kinds of universes in precise detail, enabling powerful thought experiments that in recent years have addressed long-standing mysteries swirling around black holes.
But when a group of researchers examined a universe intriguingly like our own in 2019, they found a paradox: The theoretical universe seemed to admit only a single possible state. It appeared so simple that its contents could be described without conveying even a single bit of data, not even a choice of a zero or a one. This result clashed with the fact that this type of universe should be capable of hosting black holes, stars, planets — and people. Yet all those rich details were nowhere to be seen.
“We look around, and certainly the world seems more complex than that,” said Rob Myers, a theoretical physicist at the Perimeter Institute for Theoretical Physics in Waterloo, Canada, who has not been directly involved in this research.
Physicists have good reason to trust the calculation, which builds on fundamental physical ideas. The math implies a universe with only one state; our universe is clearly not like that. Now a team of theorists has floated a possible answer. The paradoxical result occurred when physicists sought an objective description of the state of an entire universe. But a description like that might not be possible, even in principle. It implicitly assumes a universe that exists without an observer to observe it. And perhaps without observers, the complexity of the universe loses its meaning…
[von Hippel unpacks the scientific thinking that led to this conundrum. He concludes with an account of recent work by Ying Zhao that hints at a resolution…]
… Quantum mechanics requires a distinction between an observer — such as the scientist carrying out an experiment — and the system they observe. The system tends to be something small and quantum, like an atom. The observer is big and far away, and thus well described by classical physics… Perhaps an observer could do the same to these closed, impossibly simple-seeming universes?
In 2024, Zhao moved to the Massachusetts Institute of Technology, where she began to work on the problem of how to put an observer into a closed universe. She and two colleagues —Daniel Harlow and Mykhaylo Usatyuk — thought of the observer as introducing a new kind of boundary: not the edge of the universe, but the boundary of the observer themself. When you consider a classical observer inside a closed universe, all the complexity of the world returns, Zhao and her collaborators showed.
The MIT team’s paper came out at the beginning of 2025, around the same time that another group came forward with a similar idea. Others chimed in to point out connections to earlier work.
At this stage, everyone involved emphasizes that they don’t know the full solution. The paradox itself may be a misunderstanding, one that evaporates with a new argument. But so far, adding an observer to the closed universe and trying to account for their presence may be the safest path.
“Am I really confident to say that it’s right, it’s the thing that solves the problem? I cannot say that. We try our best,” Zhao said…
“Cosmic Paradox Reveals the Awful Consequence of an Observer-Free Universe,” from @quantamagazine.org.
Apposite: “Biology Might Not Be Quantum, but Its Math Is Quantumlike“
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As we keep an eye out, we might send cosmological birthday greetings to Enrico Fermi; he was born on this date in 1901. A physicist and Nobel Laureate (1938) for his discovery of nuclear reactions brought about by slow neutrons, he is best remembered for (literally) presiding over the birth of the Atomic Age. Fermi was perhaps especially remarkable as the last “double-threat” in his field: a genius at creating both important theories and elegant experiments. As observed before (and illustrated above :), the division of labor between theorists and experimentalists has since been pretty complete.
The novelist and historian of science C. P. Snow wrote that “if Fermi had been born a few years earlier, one could well imagine him discovering Rutherford’s atomic nucleus, and then developing Bohr’s theory of the hydrogen atom. If this sounds like hyperbole, anything about Fermi is likely to sound like hyperbole.”
“What we need is the celestial fire to change the flint into the transparent crystal, bright and clear”*…
… or so it used to be. Scientists at Google DeepMind and the Lawrence Berkeley National Laboratory have applied AI to the task– with encouraging results…
Modern technologies from computer chips and batteries to solar panels rely on inorganic crystals. To enable new technologies, crystals must be stable otherwise they can decompose, and behind each new, stable crystal can be months of painstaking experimentation.
… in a paper published in Nature, we share the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME), our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials.
With GNoME, we’ve multiplied the number of technologically viable materials known to humanity. Of its 2.2 million predictions, 380,000 are the most stable, making them promising candidates for experimental synthesis. Among these candidates are materials that have the potential to develop future transformative technologies ranging from superconductors, powering supercomputers, and next-generation batteries to boost the efficiency of electric vehicles.
GNoME shows the potential of using AI to discover and develop new materials at scale. External researchers in labs around the world have independently created 736 of these new structures experimentally in concurrent work. In partnership with Google DeepMind, a team of researchers at the Lawrence Berkeley National Laboratory has also published a second paper in Nature that shows how our AI predictions can be leveraged for autonomous material synthesis.
We’ve made GNoME’s predictions available to the research community. We will be contributing 380,000 materials that we predict to be stable to the Materials Project, which is now processing the compounds and adding them into its online database. We hope these resources will drive forward research into inorganic crystals, and unlock the promise of machine learning tools as guides for experimentation…
GNoME suggests that materials science may be the next frontier to be turbocharged by artificial intelligence (see this earlier example from biotech): “Millions of new materials discovered with deep learning.”
* Henry Wadsworth Longfellow
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As we drive discovery, we might recall that it was on this date in 1942 that a team of scientists led by Enrico Fermi, working inside an enormous tent on a squash court under the stands of the University of Chicago’s Stagg Field, achieved the first controlled nuclear fission chain reaction… laying the foundation for the atomic bomb and later, nuclear power generation– that’s to say, inaugurating the Atomic Age.
“…the Italian Navigator has just landed in the New World…”
– Coded telephone message confirming first self-sustaining nuclear chain reaction, December 2, 1942.
Indeed, exactly 15 years later, on this date in 1957, the world’s first full-scale atomic electric power plant devoted exclusively to peacetime uses, the Shippingport Atomic Power Station, reached criticality; the first power was produced 16 days later, after engineers integrated the generator into the distribution grid of Duquesne Light Company.
“There are no private lives. This a most important aspect of modern life.”*…
The idea that China gives every citizen a “social credit score” continues to capture the horrified imagination of many. But it is more bogeyman than reality. Instead, we should be worrying about other, more invasive surveillance practices – and not just in China, argues MERICS analyst Vincent Brussee…
“What if every action that you took in your life was recorded in a score like it was a video game?” … “If your score drops to 950, you will be subject to re-education.” … “It is the beginning of slavery, complete control, and the disappearance of all freedoms … In China, they call it social credit.” These are just some of the statements made in parliamentary debates in Europe and online commentaries about China’s Social Credit System. Given the vehemence of these views, and the attention they attract, it must have come as a real headscratcher to many when China recently pledged that would ban the use of AI for social scoring.
So, what are the facts relating to China’s Social Credit System (SoCS)? First, a system does exist, but it is very different from what is imagined by many critics outside China. The biggest disconnect is around the notion of scores. Some commentators seem to imagine that a magic algorithm draws from AI cameras and internet surveillance all over the country to calculate a score that determines everyone’s place in society. In reality, the SoCS is not the techno-dystopian nightmare we fear: it is lowly digitalized, highly fragmented, and primarily focuses on businesses. Most importantly, such a score simply does not exist.
… this does not mean that the SoCS is benign. It also does not imply that China’s broader surveillance apparatus is a myth – quite to the contrary. However, public debates typically do not focus on these aspects. Rather, the interest in the system often stems from broader anxieties about digital technologies, as reflected in the UN pledge and similar actions taken by other countries. Often, the SoCS is merely invoked as a metaphor: either to depict some technological threat at home or to portray a techno-dystopian China.
This is symptomatic of a tendency to see China not as a real place with real people, but as an abstract “negative opposite” of “us.” While our discussions on tech in China remain overshadowed by largely fictional scoring, we ignore real threats of surveillance to exactly those people in China. And when we use the SoCS to invoke the image of a technological threat at home, we lose sight of potentially acute technological threats much closer to reality.
In both cases, the real losers are the people that those making the claims say they want to protect…
More at “China’s social credit score – untangling myth from reality,” from @Vincent_WDB at @merics_eu.
See also: “China just announced a new social credit law. Here’s what it means- The West has largely gotten China’s social credit system wrong. But draft legislation introduced in November offers a more accurate picture of the reality,” in @techreview.
[Image above: source]
* Philip K. Dick, who also said “There will come a time when it isn’t ‘They’re spying on me through my phone’ anymore. Eventually, it will be ‘My phone is spying on me’.”
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As we ponder the panopticon, we might recall that it was on this date in 1942 that a team of scientists led by Enrico Fermi, working inside an enormous tent on a squash court under the stands of the University of Chicago’s Stagg Field, achieved the first controlled nuclear fission chain reaction… laying the foundation for the atomic bomb and later, nuclear power generation– that’s to say, inaugurating the Atomic Age.
“…the Italian Navigator has just landed in the New World…”
– Coded telephone message confirming first self-sustaining nuclear chain reaction, December 2, 1942.
Indeed, exactly 15 years later, on this date in 1957, the world’s first full-scale atomic electric power plant devoted exclusively to peacetime uses, the Shippingport Atomic Power Station, reached criticality; the first power was produced 16 days later, after engineers integrated the generator into the distribution grid of Duquesne Light Company.
“If a picture is worth a thousand words, what is reality worth?”*…
It is tempting to believe that we live in a time uniquely saturated with images. And indeed, the numbers are staggering: Instagrammers upload about 95 million photos and videos every day. A quarter of Americans use the app, and the vast majority of them are under 40. Because Instagram skews so much younger than Facebook or Twitter, it is where “tastemakers” and “influencers” now live online, and where their audiences spend hours each day making and absorbing visual content. But so much of what seems bleeding edge may well be old hat; the trends, behaviors, and modes of perception and living that so many op-ed columnists and TED-talk gurus attribute to smartphones and other technological advances are rooted in the much older aesthetic of the picturesque.
Wealthy eighteenth-century English travelers… used technology to mediate and pictorialize their experiences of nature just as Instagrammers today hold up their phones and deliberate over filters…
The pre-history of “influencers” and their images: “The Instagrammable Charm of the Bourgeoisie.”
* Marty Rubin
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As we watch what’s old become new again, we might recall that it was on this date in 1942 that a team of scientists led by Enrico Fermi, working inside an enormous tent on a squash court under the stands of the University of Chicago’s Stagg Field, achieved the first controlled nuclear fission chain reaction… laying the foundation for the atomic bomb and later, nuclear power generation.
“…the Italian Navigator has just landed in the New World…”
– Coded telephone message confirming first self-sustaining nuclear chain reaction, December 2, 1942.
Illustration depicting the scene on Dec. 2, 1942 (Photo copyright of Chicago Historical Society)
Indeed, exactly 15 years later, on this date in 1957, the world’s first full-scale atomic electric power plant devoted exclusively to peacetime uses, the Shippingport Atomic Power Station, reached criticality; the first power was produced 16 days later, after engineers integrated the generator into the distribution grid of Duquesne Light Company.
“Correlation does not imply causation”*…
From stat-enthusiast (and full-time law student) Tyler Vigen, entertaining examples of patterns that map in compelling– but totally-inconsequential– ways…
More (and larger) examples at the sensational Spurious Correlations.
* a maxim widely repeated in science and statistics; also rendered: (P&Q)≠(P→Q)٧(Q→P). It addresses the post hoc, ergo propter hoc (“affirming the consequent”) logical fallacy
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As we think before we leap, we might send energetic (really energetic) birthday greetings to Enrico Fermi; he was born on this date in 1901. A physicist who is best remembered for (literally) presiding over the birth of the Atomic Age, he was also remarkable as the last “double-threat” in his field: a genius at creating both important theories and elegant experiments. As recently observed, the division of labor between theorists and experimentalists has since been pretty complete.
The novelist and historian of science C. P. Snow wrote that “if Fermi had been born a few years earlier, one could well imagine him discovering Rutherford’s atomic nucleus, and then developing Bohr’s theory of the hydrogen atom. If this sounds like hyperbole, anything about Fermi is likely to sound like hyperbole.”
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