When you click to enter a website or try to log in or fill out a form, you may be asked to identify motorcycles from a grid of grainy images, decipher a string of convoluted characters, or click a box that states "I am not a robot."
These tests are called CAPTCHAs, which stands for "Completely Automated Public Turing test to tell Computers and Humans Apart." As their name suggests, they are meant to help a website distinguish if an action is coming from a human or a bot, since the aforementioned tasks are theoretically easy for a human and difficult for automated software to perform. This, in turn, blocks bots from spamming comments, downloading files, taking over accounts, or executing any other action on a website.
But as computer models increasingly gain the ability to solve CAPTCHAs, thanks to advancing artificial intelligence (AI) — and with puzzles getting weirder and more difficult for humans to complete — does this mean CAPTCHAs are still useful?
CAPTCHAs were introduced in the late 1990s to address "a very simple, but very difficult problem," Andreas Plesner, a computer scientist at ETH Zurich, told Live Science. "If I don't interact with a person physically … is it a computer? Or is it human?" Some of the first CAPTCHAs, still common on websites today, were composed of distorted text, since text-reading software at that time had trouble interpreting warped words.
But over time, text-reading software improved and new types of CAPTCHAs were developed. For instance, reCAPTCHA, one of the most popular CAPTCHA services, has an image-based test that asks users to identify objects such as traffic lights, motorcycles or bicycles from a grid of Google Street View photos. This was developed after Google acquired the service in 2009.
"The bet was that recognizing objects in messy, real-world photos was still a uniquely human skill," Ng Chong, chief of information technology and director of United Nations University's Campus Computing Centre in Tokyo, told Live Science in an email.
As time went on, CAPTCHA design continued to advance. In 2014, Google came out with reCAPTCHA v2, which analyzed computer mouse behavior by asking people to click a checkbox to test if a user was human. If the behavior is deemed suspicious, determined by factors like how a user interacts with the site beforehand or the timing of their click, the street-image grid pops up as an additional puzzle.
However, more recently, technology has improved to a point where image recognition is no longer a human-specific skill. As early as 2016, researchers found that low-cost deep learning technologies could solve reCAPTCHAv2 around 70% of the time. By 2024, Plesner and his colleagues developed an AI model that could solve the puzzles correctly 100% of the time. Earlier in 2026, Chong noted that he built a tool that could mimic human-like browsing behavior and sometimes bypass reCAPTCHA v2 without triggering the image grid at all. When the grid was triggered, the tool used AI to solve it within a few tries.
"When both the challenge and the behavioral layer are defeated by commodity tools running on a single laptop, the fundamental premise of CAPTCHA, that there are tasks humans can do but machines can't, stops holding," Chong wrote.
"Real World Captchas" appeared in major cities around the world in April 2025. (Image credit: Gerald Matzka / Stringer via Getty Images)
Looking ahead
So does that mean CAPTCHAs are completely obsolete? Not quite. Although the model Plesner and his colleagues developed breezed past reCAPTCHAv2, "there were a lot of the safety measures that were not tied to being able to solve it, but more tied to how you solve it," he said. For example, while conducting their research, Plesner noted that his team used a virtual private network (VPN) that changed IP addresses for each test, since a single IP address with a high volume of solved CAPTCHAs faced tasks with increasing difficulty, or got blocked entirely.
Modern CAPTCHAs focus on these background clues and tactics, rather than the puzzle itself. This includes Google's reCAPTCHA v3, Friendly CAPTCHA, hCAPTCHA and Cloudflare's Turnstile, among others, which run without sending a puzzle at all. They instead look at whether the action is coming from a real attested device (rather than from automated code), whether an IP address has had a high volume of automated requests in the past, how a user navigates a webpage, what the user's cookie history is, and a slew of other factors to determine possible malicious intent.
As the tug-of-war continues, CAPTCHA puzzles are still widespread. After all, they’ve been the status quo for decades, are easy to set up and are relatively cost-effective, Chong said. But these tasks have some other drawbacks. Although bots can increasingly solve the puzzles with ease, CAPTCHAs can be a headache to get through for humans and can be seen as discriminatory against those with disabilities, notably visual disabilities, as a researcher noted in a 2022 conference paper.
The crescendoing complexity of CAPTCHA puzzles has even been the subject of parody, with developer Neal Agarwal creating a free satirical game called "I'm Not a Robot." Users must solve a series of increasingly convoluted verification checks — scoring a point for each stage they pass, which eventually transcend into the absurd.
So, as machines get smarter, the answer may not be to find more difficult puzzles. "If a CAPTCHA can only be solved by someone with a Ph.D. in mathematics, then it's not very useful," Plesner said. "The internet needs to be used by everyone."
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Network latency in bitcoin mining is driving massive energy waste — the annual equivalent of the total generation capacity of Switzerland's entire hydroelectric power system, scientists say. This wasted energy results from inefficiencies in the mining process and increasing competition among bitcoin miners.
In a new study published May 26 in the journal PNAS Nexus, the researchers aimed to provide a theoretical model to measure patterns within the networks powering bitcoin's distributed ledger system.
But they also calculated that in 2025, around 16,000 megawatts was wasted by fruitless bitcoin mining attempts, where competing mining efforts exert massive computational power to obtain the same units of bitcoin. This is roughly equivalent to the total generation capacity of Switzerland's 701 hydropower plants, according to statistics from the Swiss Federal Office of Energy.
It's important to note that this figure differs from the total energy consumed by bitcoin mining activity, estimated by researchers to stand at an annual level of 138 terawatt-hours, as of June 2024. This is higher than the annual energy consumption of several developed countries including Norway and the Netherlands.
Energy-guzzling crypto
Concerns around the environmental impact of bitcoin and other proof-of-work blockchain technologies have abounded in recent years.
In 2021, for example, bitcoin mining's water usage, primarily for liquid-cooled computer equipment, equated to more than the domestic water use of 300 million people in rural sub-Saharan Africa, according to a 2023 U.N. report.
Bitcoin is underpinned by a distributed ledger system, called a blockchain, which operates on a "proof-of-work" model. For a new unit of the digital currency to be generated, computing power must be used to solve a digital puzzle. In theory, the first entity to successfully "solve" the problem adds a new "block" of transactions to the ongoing chain and is granted a set quantity of bitcoin in return.
However, due to the explosion of interest in bitcoin as a financial trading asset, the competition for who can be the first to complete a block and claim the rewards has become incredibly fierce. A solution to the puzzle is based on computational power, with specialized hardware providing a greater advantage in speed. It has driven commercial entities to invest in building specialized data centers dedicated to such mining operations.
Because the race to be the first to mine a block is so competitive, the difference between first and second place can be just tiny fractions of a second. This often results in "accidental forks" — where two competing blocks are registered at almost exactly the same time.
In this scenario, the block with the longest chain of subsequent blocks built on top of it will eventually become a verified and legitimate part of the blockchain — earning its miners the bitcoin reward — while the competing block will be seen as invalid and worth nothing.
The energy needed to solve the proof of work and generate these "orphaned blocks" in the first place — as well as any subsequent blocks built on top of them before the winner is decided — is ultimately wasted.
An engineer stands next to a bitcoin mine. (Image credit: PixeloneStocker via Getty Images)
"Despite their indication of a distributed network, accidental forks are an inefficiency of the Bitcoin protocol that leads to wasted computational resources (and thus energy), increasing the cost of network operations and its environmental impact to maintain a given level of security," the researchers wrote in the study.
According to the Crypto Carbon Ratings Institute (CCRI), a cryptocurrency analysis firm, bitcoin is the most dominant cryptocurrency by far, with a market capitalisation of more than $1.1 trillion — more than 80% larger than the next most popular currency, Ethereum. However, instead of proof-of-work, Ethereum uses a different form of consensus mechanism to establish block authorship, called "proof-of-stake," which is significantly less computationally intensive.
While other cryptocurrencies apart from bitcoin also use proof-of-work methods, bitcoin is around twice as large as its next nearest rival in this category, making it orders of magnitude more power-hungry.
Who rules the pool
Whereas previous models for analyzing fork rates treated all miners in the network as equal, this study considered elements such as network latency and geographic distribution, aiming to provide a "null model" — a baseline which can be used as a starting point to inform future analysis.
The model also allowed the researchers to quantify other notable trends, such as the distribution of "mining pools" — consortiums in which mining operators pool their efforts to maximize their potential success. They identified a decline in the dominance of Chinese mining pools from 2022 following the country's ban on bitcoin mining while also discovering high levels of consolidation at the upper level of the bitcoin mining industry.
The report found that just three mining pools produce over 50% of new bitcoin blocks. This is a problem because it risks a "51% attack," whereby unscrupulous miners enter fraudulent information into the blockchain by ensuring that they always produce the longest chain and, therefore, become validated.
This level of consolidation distorts the market for processing fees that bitcoin users pay to have their transactions included in the next block, the researchers added, and could thus allow miners to arbitrarily delay the inclusion of specific transactions.
A breakthrough in photonic chips could make large, costly, ultrafast lasers dramatically smaller, leading to portable and affordable imaging, diagnostic and information-processing devices, researchers say.
By using a decades-old overlooked laser architecture, scientists managed to fit an ultrafast laser onto a tiny photonic chip — a chip that uses light, rather than electricity, for computing operations.
In a new study published June 3 in the journal Nature, the team demonstrated that a tiny laser on the photonic chip could deliver 1.05 nanojoules of energy in 147-femtosecond (147 quadrillionths of a second) bursts — thereby competing with the output of laboratory-class ultrafast lasers.
Ultrafast lasers are used in a variety of applications, from precision manufacturing and eye surgery to biological imaging and atomic clocks, but the systems needed to power them tend to take up whole tabletops in labs or factories. Yet the powerful output of these laser pulses made them difficult to miniaturise onto photonic chips.
"For more than twenty years, a high-pulse-energy femtosecond laser on chip was widely regarded as a holy grail of integrated photonics," Tobias Kippenberg, a photonics professor at the Swiss Federal Institute of Technology(EPFL), said in a statement.
"Our result shows that it is not only possible, but that it can be achieved with a surprisingly elegant architecture that the integrated-photonics community had overlooked."
Forward-thinking breakthrough comes from looking back
Photonic chips manipulate light by using microscopic structures called waveguides — usually in the form of optical fibers or etched cavities — to carry information. They aren't particularly novel, and can be found in fiber-optic communications, medical sensors and lidar systems.
But photonic chips have previously struggled when handling high-powered, ultrafast lasers. That's because they need to contain light to extremely small waveguides, leading the light to interact strongly with itself and destabilizing the laser pulses.
To tackle this problem, the researchers looked at a laser architecture called the Mamyshev oscillator, created in 1998 by Pavel V. Mamyshev, a physicist and engineer at Bell Labs.
EPFL's chip-based ultrafast laser operates in a testing set up. (Image credit: Zheru Qiu/EPFL)
This oscillator, which has received little attention in the world of photonic chips, works by placing a nonlinear waveguide between two optical filters. This causes a high-intensity laser pulse to expand into a broader range of colors that can then pass through both filters while weaker light, which can cause laser destabilization, is blocked out. This technique essentially means that a high-intensity laser pulse can be maintained.
Because the Mamyshev oscillator doesn't require extra components to manufacture on a chip, it presents an attractive design for use on photonic chips. And although the laser cavity needed to direct an ultrafast laser is 16.5 inches (42 centimeters) long, it can be folded to occupy around the same area as a match head. This can't be done with conventional fiber-optic-based lasers, often used in photonic chips.
That takes care of the size, but the cost of ultrafast laser systems is another challenge. But because photonic chips can be fabricated using silicon wafers in the same fashion as computer chips, more than 1,000 laser cavities could potentially be produced in a single batch, the researchers said. As such, photonic chips with ultrafast laser capabilities could be produced at scale, in turn reducing manufacturing costs and even expanding their use.
Photonic chips capable of handling ultrafast lasers could, in the future, lead to portable tools for tasks like detecting pollutants or performing advanced medical diagnostics in the field, the researchers noted in the study. The technology also opens the door to smaller atomic clocks that can benefit navigation and future communications.
A Chinese system has become the world’s most powerful supercomputer, surpassing American machines for the first time since 2021.
LineShine, installed at China’s National Supercomputing Center in Shenzhen, clinched the top spot in the 67thTOP500 ranking of the world’s most powerful supercomputers. The new system has already been used in a range of fields, giving developers another route to achieve supercomputing power.
The machine, which came online in the first half of 2026, can reach speeds of 2.198 exaFLOPS — where 1 exaFLOP is 1 quintillion (1018) floating-point operations, or mathematical calculations, per second (FLOPs) — making it the only supercomputer on the planet to exceed 2 exaFLOPS per second. It's also the first time China has hosted the world's fastest supercomputer since 2017.
A FLOP is a type of calculation used to benchmark computing performance.Exascale supercomputers can perform more than 1 quintillion of these operations every second. In comparison, home computers can perform roughly 5 trillion FLOPS.
According to TOP500, LineShine can achieve speeds about 22% faster than El Capitan, a supercomputer housed at Lawrence Livermore National Lab in California that had previously held the top spot since November 2024.
The system’s computing power is the result of "a comprehensive breakthrough in a series of core technological barriers," according to a translated statement from China's National Supercomputing Center.
Unlike many other supercomputers, LineShine uses only central processing units (CPUs) to perform calculations. Other systems rely on both CPUs and graphics processing units(GPUs), which run many jobs simultaneously by dividing tasks among smaller, specialized cores.
Since 2018, the U.S. government hasrestricted exports of semiconductor chips to China, including GPUs. However, startups such asDeepSeek have wrangled other technological advancements to train artificial intelligence (AI) models with fewer and less powerful GPUs than comparable systems such as ChatGPT.
LineShine "represents a historic leap forward for China's supercomputing field, breaking through foreign technological blockades and building an independent and controllable software and hardware system," the statement read.
The system has already been used on projects in multiple research areas, including atmospheric science, drug discovery and AI, according to the National Supercomputing Center. In general, supercomputers perform extremely complex calculations at speeds much faster than traditional computers can handle, allowing them to solve problems that would otherwise take too long or cost too much to address.
The fastest supercomputers utilize a range of different designs and processors, showing that high-performance computing doesn’t rely on any one single method.
"The list demonstrates that there is no single dominant technology path to leadership-class computing; instead, vendors are pursuing a variety of CPU, GPU, APU, and custom-accelerator approaches coupled with different interconnect and system designs," TOP500 representatives said in a statement.
Following LineShine and El Capitan, two supercomputers at U.S. national laboratories and one in Germany claimed spots three through five on theTOP500 list. Machines in Italy, Switzerland, Japan and the U.S. round out the top 10.
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In a groundbreaking development poised to redefine waste management and sustainable energy production, researchers have unveiled a revolutionary method for photoreforming solid waste on an unprecedented 1-square-meter scale. This innovative advance, detailed in the latest issue of Nature Chemical Engineering, leverages single-source precursor-derived co-catalyst films to convert ubiquitous solid waste into valuable chemical fuels, heralding a new era in environmental remediation coupled with renewable energy generation.
At the heart of this innovation lies the principle of photoreforming, a process by which sunlight catalyzes the chemical transformation of organic materials into hydrogen and other energy-rich molecules. Historically limited to small-scale demonstrations and powdered catalysts, this method struggled with scalability and practical application outside controlled laboratory settings. The reported technique shatters these limitations by fabricating robust co-catalyst films derived from a unified precursor source, enabling efficient photoconversion across large surface areas with enhanced stability and performance.
The researchers crafted these functional films through an ingenious synthesis route, where a single molecular precursor simultaneously yields both the active catalytic sites and the supporting matrix. This contrasts with conventional multi-step fabrication approaches that often result in inconsistent catalyst dispersion and energy losses. By integrating the catalyst components at the molecular level, the team ensured homogeneity, maximized photon absorption, and optimized charge separation dynamics, all critical parameters for sustained photocatalytic activity.
Transforming real-world solid waste – encompassing plastics, biomass residues, and mixed refuse – into clean fuels presents a formidable challenge due to their complex chemical compositions and structural heterogeneity. The co-catalyst films demonstrated remarkable versatility and adaptability, efficiently processing these diverse substrates under simulated sunlight without requiring extensive pre-treatment. This robustness signals a significant leap toward practical deployment in municipal waste processing facilities and industrial settings.
The experimental setup encompassed a square meter of coated substrate exposed to controlled illumination, mirroring natural sunlight intensity conditions. Over extended operation, the system consistently yielded high rates of hydrogen and other value-added chemicals, outperforming benchmark photocatalysts by a considerable margin. Importantly, the films manifested remarkable photostability and mechanical adhesion, demonstrating resilience against degradation mechanisms like photo-corrosion and mechanical abrasion that typically afflict photocatalytic layers.
At the nanoscale, characterization techniques revealed uniform distribution of nanosized catalytic domains embedded within a conductive, photoactive matrix. This architecture ensures rapid electron-hole separation and transport, minimizing recombination losses which commonly plague photocatalytic systems and limit hydrogen evolution rates. Spectroscopic analyses corroborated enhanced visible-light absorption, attributed to tailored bandgap engineering achieved during precursor design, broadening the usable solar spectrum beyond ultraviolet wavelengths.
The process design also embraced mass transport optimization, incorporating porous film structures that facilitated effective diffusion of reactants and removal of gaseous products. This morphologic control prevented stagnation zones and concentration gradients, enhancing catalytic turnover and ensuring stable long-term performance. Additionally, the modular film fabrication approach promises scalability and integration into various reactor geometries without compromising catalytic efficiency.
Beyond hydrogen generation, the system also showcased the capacity to produce liquid fuels and chemical feedstocks, capitalizing on selective reaction pathways induced by co-catalyst composition tuning. This selectivity allows tailored conversion routes matching industrial chemical demands, moving beyond mere waste disposal toward circular chemical economies. The dual benefit of environmental waste mitigation coupled with clean energy and chemical synthesis embodies transformative potential for sustainable industrial practices.
Critically, the team emphasized the environmental and economic implications of adopting such technology at scale. By converting problematic solid waste streams into valuable resources using sunlight – a free and abundant energy source – this approach diminishes reliance on fossil fuels and reduces landfill burden. Cost analyses suggested that, once scaled, the technique could rival established catalytic processes in operational expenditure, thus offering an attractive proposition for policymakers and industry leaders aiming to meet stringent environmental targets.
The interdisciplinary collaboration instrumental in achieving this advance integrated expertise across materials chemistry, photophysics, environmental engineering, and nanofabrication. Such synthesis of disciplines underscored the inherent complexity of developing scalable photocatalytic platforms capable of handling real-world waste complexities while maintaining high efficiency and durability.
Looking ahead, the researchers are exploring further enhancements including tandem catalyst layers, optimized co-catalyst configurations, and hybrid photochemical-electrochemical systems to elevate the energy conversion efficiency and broaden substrate compatibility. In parallel, pilot-scale demonstrations are underway to validate system performance in outdoor environments subject to variable weather conditions, pivotal for transitioning laboratory innovation into field applications.
This pioneering work sets a new benchmark in photoreforming science, illustrating how precise molecular engineering and thoughtful system design can transform a pressing global challenge—solid waste accumulation—into a renewable energy opportunity. Its implications resonate strongly with global sustainability aspirations, promising an economically feasible and environmentally benign pathway to simultaneously address climate change mitigation, waste reduction, and clean energy production.
As society grapples with mounting waste generation paired with escalating energy demands, innovations such as these underscore the invaluable role of scientific ingenuity in crafting solutions that are as elegant as they are practical. By harnessing the synergy of sunlight and advanced material chemistry, the future of waste management is illuminated—not as a burden, but as a wellspring of renewable chemical energy.
In summary, this major scientific milestone demonstrates that photoreforming solid waste at a 1 m² scale using single-source precursor-derived co-catalyst films is no longer a theoretical possibility but a tangible technological reality. It unequivocally paves the way for deploying solar-driven catalytic systems in addressing environmental and energy crises through smart design and scalable engineering.
Subject of Research:
Photoreforming of solid waste using single-source precursor-derived co-catalyst films.
Article Title:
Photoreforming of solid waste on 1 m² scale using single-source precursor-derived co-catalyst films.
Article References:
Bin Mohamad Annuar, A., Liu, Y., Bhattacharjee, S. et al. Photoreforming of solid waste on 1 m² scale using single-source precursor-derived co-catalyst films. Nat Chem Eng 3, 351–362 (2026). https://doi.org/10.1038/s44286-026-00406-y
Researchers have uncovered a molecular pathway that appears to block kidney regeneration after injury. The body’s ability to repair damaged organs is surprisingly limited, especially after serious injuries to the heart or kidneys. Now, UCLA researchers have found that a drug originally developed to help heart tissue regenerate after a heart attack may also accelerate [...]
Electrostatic forces enable low-voltage actuation without relying on rare earth materials. Nearly every electric motor in modern life, from the fan on your desk to the motor in an electric vehicle, relies on magnetism. For more than a century, magnetic fields have dominated motor design because electrostatic forces were considered too weak for practical machines. [...]
The National Oceanic and Atmospheric Administration headquarters in Silver Spring, Md. The new site is an effort to preserve NOAA work previously available at climate.gov.
From government surveillance programs to microchips in vaccines, technology-centric conspiracy theories have exploded in the digital age, adding to some of the best conspiracy theories already in existence.
While most probably seem laughable to the technically literate, some of these theories have spread like wildfire and had significant real-world impacts. And although most are complete fabrications, some do contain a kernel of truth — and others have turned out to be eerily accurate. Here's a rundown of some of the most pernicious technology conspiracy theories.
The Large Hadron Collider is opening a portal to hell
Verdict: Not True
The Large Hadron Collider, operated by the European Organization for Nuclear Research (CERN) in Switzerland, has been an obsession with conspiracy theorists almost since its opening in 2008. The organization has even seen it necessary to have a dedicated page on its website responding to some of the more outlandish claims.
Unsurprisingly, physicists swiftly debunked these ideas. The collider uses magnetic fields to accelerate protons to extremely high speeds before smashing them together to create smaller particles. The goal is to discover new elementary particles that could help test theories about how the Universe works.
Creating even a microscopic black hole or wormhole would require an accelerator the size of the whole universe, say researchers. It would also decay in a fraction of a second thanks to Hawking radiation, which causes black holes to lose mass and eventually evaporate. Even if such a black hole was stable, which current physics suggests is impossible, it would take three trillion years to consume just one kilogram of matter.
Tracking microchips in COVID-19 vaccines
Verdict: Not True
When the COVID-19 pandemic hit in early 2020, governments took unprecedented steps to control its spread, including lockdowns and vaccine mandates. That proved fertile breeding ground for novel conspiracy theories, including the bizarre claim that authorities were sneaking microchips into vaccines so they could track people.
The theory’s origins can be traced to March 2020, when Bill Gates participated in a Reddit discussion about digital health passports. A Swedish website dedicated to biohacking misinterpreted his comments and published an article saying the billionaire wanted to use microchip implants to fight the pandemic.
Via a paranoid game of Telephone, this slowly morphed into the idea that the government was using the vaccine to implant tracking chips in citizens. Needless to say, the theory is nonsense. There is no evidence that any of the billions of people vaccinated against COVID-19 have been implanted with tracking hardware.
But by January 2021, one in 10 American adults believed the theory. More worryingly, a poll found that one in four Americans said they were uncertain whether vaccines contained microchips. The conspiracy was built on years of anti-vaccine disinformation, and further fuelled the vaccine hesitancy that made it so hard to control the pandemic.
5G networks spread COVID-19
One of the prominent conspiracy theories during the COVID-19 pandemic was that 5G networks spread the virus. (Image credit: AerialPerspective Images/Getty Images)
Verdict: Not True
Another COVID-19 related conspiracy theory that gained significant traction claimed that the disease was being spread by newly installed 5G cellular networks. The theory became so widespread that cell towers were set on fire in several countries, and social media platforms were forced to actively combat its spread.
The idea is firmly contradicted by the overwhelming evidence that COVID-19 is caused by a contagious virus. And crucially, the virus spread rapidly in areas with no 5G coverage whatsoever. Nonetheless, the U.S. Federal Emergency Management Agency felt compelled to issue a statement clarifying that 5G technology does not cause coronavirus, while U.K. government officials dismissed it as a "crackpot conspiracy.”
The fears likely built on top of existing concerns about the health impacts of radiation from cellphone towers. But there is no credible evidence that existing technology causes health problems, and 5G should raise even fewer concerns. The radio frequency waves used by these networks are forms of non-ionizing radiation, meaning they lack the energy to damage DNA or cells in ways that could cause disease. High-band 5G uses millimetre wave frequencies that cannot even penetrate human skin.
The dead internet theory
Verdict: Partially True
The dead internet theory proposes that the web is now dominated by bots interacting with each other with minimal human involvement. The idea has been around for several years, but has been further fuelled by the recent rise of artificial intelligence (AI) chatbots and agents.
The conspiracy first surfaced in 2021 on the Agora Road's Macintosh Cafe forum, in a thread titled "Dead Internet Theory: Most Of The Internet Is Fake." The idea is that automated systems are being used to craft content designed to draw engagement and generate ad revenue. But the theory suggests that those interacting with this content are also bots.
While the extent to which this is true is debatable, there is an element of truth to the theory. Studies show bot traffic was responsible for 51% of all internet activity in 2024 — the first time bots surpassed humans. And since ChatGPT's launch, AI-generated content has exploded, with another study finding that 13.1% of websites now host such material.
This is leading to fears that the internet is being rapidly flooded with low-quality "AI slop" that could degrade its usefulness over time. Given that OpenAI CEO Sam Altman recently gave credence to the theory, this might be one to start taking more seriously. The evolution of this idea, fueled by AI, might permanently change how we use the internet in the years to come.
Governments can control the weather
Verdict: Partially True
Following the highly destructive hurricanes Helene and Milton in 2024, rumours swirled that they were the result of government weather control programs. One of the most prominent boosters of the theory was U.S. Congresswoman Marjorie Taylor Greene, who tweeted “Yes they can control the weather” to her 1.2 million followers shortly before Hurricane Milton hit.
While these specific claims are patently false, like many good conspiracy theories, they contain a kernel of truth. The U.S. government had been interested in weather control as far back as 1891 and had a serious "weather weapons" program in the form of Operation Popeye between 1967 and 1972 during the Vietnam War. Such practices were banned by the Environmental Modification Treaty in 1977.
Basic forms of weather modification also exist today, in particular cloud seeding. This involves dispersing materials like silver iodide into clouds, which can marginally enhance rainfall. Countries like China and Saudi Arabia use the approach to assist in agriculture. China harnessed this technology to ensure clear skies for the 2008 Olympics.
Proposals to fight climate change via solar geoengineering have also further fuelled conspiracy theories. This would involve spreading tiny particles in the upper atmosphere to reflect sunlight. But these approaches are a long way from the kind of weaponized weather control conspiracists dream of.
Phones eavesdrop on you for ad targeting
Could smartphones be spying on us? (Image credit: tim scott via Getty Images)
Verdict: Partially True
Many people have had the eerie experience of seeing ads for products appearing on their phone shortly after discussing them offline. This has led to a persistent belief that smartphones secretly listen to our conversations for advertising purposes.
The rumour has been around for decades, but Instagram head Adam Mosseri recently felt compelled to address it directly, stating the company doesn't use microphones this way and calling it a "gross violation of privacy." Multiple studies have also found no evidence of covert audio recording, and there are several reasons why it would be impractical.
For a start, constant audio recording would rapidly drain phone batteries and trigger visible indicators on phone displays. More importantly, unauthorized recording would create enormous legal liability for those who engaged in it.
But there is something potentially more unsettling behind the phenomenon. Online platforms, advertisers and data brokers are constantly collecting, curating and reselling every tiny piece of information they can glean from our online and offline behaviour. This allows them to develop incredibly accurate profiles of people to provide spookily appropriate, and timely, product suggestions.
Planned obsolescence
Verdict: Partially True
From clothes to consumer electronics and even cars, people increasingly complain that products don’t last as long as they used to. The theory of Planned Obsolescence suggests that this is no accident, and companies deliberately design products with short lifespans to force repeat purchases.
The idea has circulated for a long time and has some truth to it. There is historical evidence that companies have pursued obsolescence as a strategy — in the 1920s, for instance, major light bulb manufacturers came together to form the "Phoebus cartel," which colluded to reduce bulb lifespans to just 1,000 hours. General Motors also pioneered annual model changes to entice customers to buy newer vehicles, creating a template that other industries copied. Technology vendors are particularly guilty — think smartphones with batteries that degrade in just a few years, or no longer support software updates.
But the practice isn't necessarily aimed at tricking us into buying more than we need. Rapid product turnover makes things cheaper to manufacture and with technology in particular, consumers prefer paying less upfront for devices they'll replace soon to access new features. Durability comes at a price too, so customers are often happy to have cheaper products that may not last as long — for instance, clothes that children will grow out of.
Government-sponsored mind control programs
Verdict: True
There is a whole menagerie of conspiracy theories speculating that the government uses technology and drugs for mind control. One prominent recent example is the claim that the U.S. military’s High-frequency Active Auroral Research Program (HAARP) is secretly using radio waves to manipulate people’s thoughts.
While that specific claim has been firmly debunked, the idea that the U.S. government is attempting to control people’s minds is not so outlandish. In 1953, CIA director Allen Dulles launched a top secret program called MKUltra aimed at developing exactly those kinds of capabilities. The agency covertly contracted out 162 projects to various universities, research foundations and institutions to study how psychoactive drugs, hypnosis, electroshock therapy, sensory deprivation and various forms of torture could be used to manipulate people’s mental states.
Experiments were carried out on both volunteers and unwitting subjects, including prisoners, sex workers, soldiers and children. By the mid-1960s, the project’s backers concluded that while it was easy to dismantle a human mind, subsequently seizing control of it was beyond them, and they wound down research in 1964.
Investigative reporting by the New York Times uncovered the project in 1974 and led to a series of congressional hearings. But the bulk of documents related to the project had been destroyed the year before, meaning the true extent of the program remains a mystery.
Widespread digital surveillance
Verdict: True
Paranoia around the government’s ability to listen in on our phone calls or online communications is a defining feature of many conspiracy theories. But in June 2013, former CIA contractor Edward Snowden leaked a treasure trove of classified documents to journalists that validated many of these fears.
The revelations uncovered a mass surveillance network operated by U.S. intelligence agencies and their foreign allies to collect phone records and monitor internet activity across the globe. Most prominently, it uncovered the PRISM program, operated by the U.S. National Security Agency (NSA), which used secret court orders to demand internet communication data from technology companies.
The U.K.'s Government Communications Headquarters (GCHQ) was also revealed to be tapping into 200 fiber-optic cables around the world, allowing it to monitor up to 600 million communications daily.
The reports lead to widespread outrage because the surveillance targeted not only suspected terrorists and criminals but also ordinary citizens, journalists, corporations and 35 foreign leaders – most notably the phone of the German chancellor at the time, Angela Merkel. But despite an initial public outcry, Congress renewed many of these surveillance programs in 2018 with little debate, suggesting that widespread government surveillance remains alive and well.
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Looking for a superb Prime Day Deal? This DJI Neo drone was a good deal at $30 off, but now you can now save $60 on this beginner-friendly drone. That's double the discount!
It's easy to transport and, thanks to its sub-250g, you don't have to worry about registering it under the current drone regulations.
In our DJI Neo review, our expert James Abbott awarded it four stars, calling it "incredibly easy to use and fun." And, prior to the release of the DJI Neo 2, we ranked it as the best DJI drone for simplicity. At this price, you can't go wrong!
Save $60 on this superb, lightweight drone, which is super easy to use and capable of capturing 4K as it flies, either under your direct control (via app) or independently. View Deal
Check out our Amazon Prime Day hub, where we bring you the best deals of Prime Day 2026, including early Prime Day deals.
This DJI Neo is an excellent entry-level drone, and is a joy to fly. James AbbottJames AbbottJames AbbottJames AbbottJames Abbott
If you're a beginner, you'll be in high-flying heaven with the DJI Neo. For $170, you get nearly everything you need to get flying: a charger, a screwdriver and spare propellers.
You fly it via the DJI Fly app on your mobile phone, though you don't have to be super-attentive for fear of losing it; aside from its return to home facility, you can instruct it to fly in patterns or even track you (not as sinister as it sounds, I promise).
With an 18-minute flight time, it can capture 4K video in 30PS and a 12MP 1/2-inch sensor will capture snaps of whatever you see from above.
DJI is one of the leading names in the drone industry, and its products appear regularly in our best drone guide. At $169 from Amazon, this drone is a steal considering its capabilities and overall ease of use. This deal is already live ahead of Amazon Prime Day 2026, which starts tomorrow and runs until June 26. We have all the best deals across drones, technology and skywatching gear on our Prime Day hub, so stay tuned there for low prices.
Key features: Up to 18 minutes flight time, 4.76 oz / 135 g weight, video capture up to 4K 30FPS / FHD 60FPS, 117.6-degree FOV
Product launched: Sept 2024
Price history: We saw the DJI Neo drop to $159, but this is still an excellent deal. And, given the Neo 2 is out, when it's gone, it's gone.
Reviews consensus: In our DJI Neo review, our expert awarded it four stars, singling out its ease of use as a major plus. Its Amazon reviews are even more positive, with purchasers praising its sheer value.
What if your daily coffee routine could help power the world around you?
Scientists are exploring ways to transform everyday waste, like spent coffee grounds, into materials for greener energy production. One promising method, called triboelectrification, uses electricity generated from motion. With this approach, materials that gain positive and negative charges are rubbed together to generate an electrical charge that can be harnessed by devices called triboelectric nanogenerators, or TENGs. TENGs are a greener alternative to fossil fuels because they generate electricity from everyday movement, such as pedestrian or vehicle motion.
However, many negatively charged materials used in these devices are made from nonbiodegradable plastics, like PTFE, that persist as long-term waste in the environment. Over time, TENGs are also easily damaged by environmental conditions outside the laboratory. To create sustainable TENGs for real-world applications, scientists need to develop biodegradable and durable designs.
To address this problem, researchers from Guangxi University in China developed a TENG that uses coffee grounds as its negatively charged material. Their design repurposes coffee waste to create a robust, low-cost device that can harvest energy.
To create the coffee-based material, the researchers mixed coffee grounds with a biodegradable glue-like plastic called polycaprolactone (PCL). They heated this mixture to 80°C (176°F) and molded it into cylindrical pellets. Then, they used a biodegradable plastic called polylactic acid (PLA) to 3D-print a fully enclosed box-like TENG containing vertical channels arranged like the parallel slots of a file organizer to house the pellets.
Their TENG worked by shaking the coffee ground pellets within the channels, causing them to repeatedly rub against the PLA surfaces. Because coffee grounds strongly attract electrons, the pellets become negatively charged while the PLA surfaces become positively charged. This repeated pellet movement drove the electrons back and forth, generating electricity that was harvested through the TENG’s external circuit.
To evaluate their TENG’s electrical performance, the researchers used an instrument that measures small amounts of electricity, called an electrometer. The electrometer measures electrical output based on how strongly the device pushes electrons through a circuit, called its voltage, how quickly electrons flow through it, called its current, and how many electrons flow through it, called its transferred charge.
The researchers verified that coffee ground pellets could serve as a viable TENG material by comparing their performance with commercial plastic pellets. The coffee ground pellet system produced a voltage of 0.6 Volts (V), a current of 18 nanoamperes (nA), and a charge transfer of 0.25 nanocoulombs (nC). This output was more than twice that of pure PCL pellets and over half that of nonbiodegradable PTFE. The researchers suggested that the negatively charged components of the coffee grounds altered the surface of the PCL to increase its charge generation and transfer.
To optimize the TENG, the researchers experimented with different coffee grounds to PCL mass ratios, pellet lengths, and device vibrational frequencies. They found that their device achieved the best electrical performance at a 3:1 ratio of coffee grounds to PCL, with 8 millimeter long pellets, at a vibrational frequency of 2.6 Hertz. These conditions boosted the device’s electrical output to 4.7 V, 75 nA, and 1.3 nC, high enough to power tiny environmental sensors.
The team also tested their device’s long-term durability by comparing its electrical performance before and after 6 months of storage. They observed only a 6% drop in voltage after storage, demonstrating that it could maintain stable long-term electrical performance for at least 6 months.
Finally, to explore real-world applications, the researchers integrated 4 TENGs into a wind-energy harvesting system designed for remote island settings. The system used a wheel of rotating cups to capture wind energy and a sliding mechanism to convert it into repeated shaking of the TENGs. As the TENGs shook, the moving pellets inside generated enough electricity to power an LED light and a small weather-monitoring device.
The researchers concluded that spent coffee grounds can function as biodegradable TENG materials while reducing dependence on fossil fuel-derived materials. By combining coffee waste with biodegradable plastics, the researchers created a TENG with good electrical performance, sustainability, and long-term stability. They suggested that with further development, the device could someday power road warning lights and provide sound-based alerts in remote areas.
For the past few years, the most visible corner of the AI market has been easy to caricature: OpenAI gets the consumer attention, Anthropic gets the developer love, Google gets the benefit of the doubt with increasingly capable models and a complementary product suite, and everyone else gets to explain why they’re not dead yet.
That’s unfair, of course, but not completely wrong. In AI, attention compounds and it’s leading to outsized revenue, with both OpenAI and Anthropic reportedly rushing toward trillion-dollar-sized IPOs on the backs of billions in revenue.
So it’s easy to underrate Mistral AI.
Honestly, I hadn’t thought of the Paris-based company for a year. Maybe longer. But then Brian Hall announced he’s joining Mistral as CMO, and I had an Arrested Development “Her?” moment. Hall, a longtime Microsoft exec, hired me at AWS and went on to run product marketing at Google Cloud. His move prompted curiosity because Mistral doesn’t dominate developer chatter in the United States or boast the same seemingly endless compute budgets as Anthropic or OpenAI. If the AI market is simply a race to build the biggest, most magical, most general-purpose model, Mistral isn’t the company to bet on.
But that’s the wrong question, and likely the wrong bet.
The more interesting question is when the enterprise AI market will revert to type and demand that AI deliver the same security, predictability, and control we’re used to from other IT investments. Here Mistral has a real story. As Hall notes, Mistral’s approach is to “prioritize AI for mission-critical environments that need the confidence and self-control to bet for the long term (with open weights and real sovereign capabilities).”
While this might have sounded like an overly hopeful talking point, it became real in June when the US government ordered Anthropic to suspend access for foreign nationals to its most advanced Fable 5 and Mythos 5 models. Anthropic said it would disable the models for all users because of the export-control directive. “Can this vendor be forced to turn us off?” is no longer a theoretical question.
That’s why Mistral’s quiet focus on enterprise control just might work.
The wrong race
The enterprise control story is much more compelling than the narrative I used to hear. You know, the “Europe needs its own OpenAI” schtick. There is a market for “patriotic AI,” but it’s relatively small. The far bigger market is comprised of enterprises that just want AI that works, costs less (or delivers more) than expected, and can be customized while fitting their compliance requirements.
Though the company’s initial launch page went out of its way to mention that the company was operating out of Europe and headquartered in Paris, since at least October 2023 Mistral’s product posture has centered on enterprise control. Scattered throughout its current (and past) website are words like “customize,” “fine-tune,” “open source,” and “complete control.” Mistral pitches Studio for building and running AI apps, Forge for custom model training and alignment, Vibe for agentic work, Vibe for Code for coding workflows, and Compute for training and inference infrastructure. The company talks about observability, evals, guardrails, deployment portability, and running production AI “from edge to cloud.”
In other words, it sounds less like a chatbot company and more like an infrastructure company.
That positioning becomes clearer when you look underneath the product names. Mistral AI Studio includes an AI Registry that acts as a system of record for agents, models, data sets, judges, tools, and workflows. It tracks lineage, ownership, and versioning. It enforces access controls and promotion gates before deployment. That’s boring governance plumbing (and “boring” is good in enterprise IT, as I’ve written).
Forge may be even more important. Mistral describes it as a way for enterprises to train frontier-grade models on proprietary enterprise data. Rather than training on others’ copyrighted information strewn across the web or on a mountain of Reddit posts, Forge goes well beyond retrieval-augmented generation (RAG) to not simply “read in” proprietary docs/info/etc., but rather to give an enterprise its own private OpenAI, as it were.
That’s super interesting.
But is it different? I mean, OpenAI and Anthropic can do plenty of this, with greater scale and the benefit of leading frontier models. Both have enterprise products, cloud partnerships, evals, agents, governance tools, and varying forms of model customization. Mistral’s bet with Forge isn’t that the big labs can’t customize models. It’s that some enterprises aren’t interested in customization as a side feature bolted onto a frontier API. It is the product. OpenAI and Anthropic can build everything around Forge but not Forge itself, because the one thing they almost certainly aren’t interested in selling is independence from them.
This is where Mistral may have found a useful seam, one that allows it to ask a different set of questions. What if the best enterprise model isn’t the smartest general-purpose model? What if the best model is the one that’s small enough to run where the customer needs it, open enough to inspect and adapt, cheap enough to use broadly, and specialized enough to do the job? What if “good enough, governable, and your own” beats “slightly smarter, mostly opaque, and rented”?
This won’t matter for every use case, of course. If I’m asking AI to reason through a spreadsheet or write code, I probably want the best model I can get. But for banks, defense agencies, manufacturers, utilities, telcos, and governments, “best” is multidimensional and includes questions like latency, auditability, etc. It’s why banks, for example, still run so many workloads on premises: They want control.
What about compute?
None of this makes compute irrelevant. But it may change how compute matters.
If Mistral is trying to be a French version of OpenAI, its lack of hyperscale compute is a fatal weakness. It won’t outspend OpenAI, Oracle, Microsoft, Google, Amazon, SpaceX, or Anthropic. It probably won’t out-recruit them across every frontier research area, either. The AI market is already littered with companies that underestimated how quickly “good model” became “not good enough.”
But if Mistral is trying to become the enterprise-controlled AI layer for organizations that don’t want all intelligence to live behind someone else’s API, compute becomes a more nuanced issue. It still needs infrastructure, and Mistral seems to know it. After all, Mistral raised $830 million in debt to buy 13,800 Nvidia chips for a data center near Paris. That’s a rounding error compared to OpenAI and Anthropic, of course, but the real question is whether Mistral can turn relative compute scarcity into a virtue, like Amazon’s Leadership Principle “Frugality” on steroids. If lower compute capacity leads Mistral to deliver smaller, more efficient, and more specialized models, which in turn helps enterprises maintain more control of their data at lower cost, then less really does become more.
Mistral’s compute challenge, then, is not to try and have as much compute as OpenAI. It’s to make customers care less about raw compute scale and more about deployment flexibility, specialization, and control.
That’s a hard sell. But it’s not a dumb one.
What Mistral must prove
The bear case remains obvious. OpenAI has consumer distribution, developer mindshare, capital, and a brand that has basically become synonymous with AI. Anthropic has become the developer darling and has an unusually strong enterprise story of its own. Google has the models, the infrastructure, the data, and a bevy of complementary services. AWS, Microsoft, and Oracle have customer relationships and infrastructure.
Mistral has to prove that there’s room for another center of gravity. More specifically, it must prove three things.
First, it has to show that open-weight and controllable AI matter enough to influence buying decisions, not just conference panels. Everyone says they want control, just as most like the idea of open source. But proprietary software and cloud services still dominate the market. Mistral must make control feel like the easy button.
Second, it must prove that specialization beats generality in enough high-value markets. “Our model is almost as good” is not a strategy. “Our model is better for your bank, your government agency, or your retailer” just might be.
Third, it needs to establish a beachhead within enterprise IT before OpenAI and Anthropic become “boring” enough to satisfy the same buyers. This is the real race. The biggest AI companies are hiring enterprise sales teams, building admin controls, and cutting deals with every major cloud. Mistral’s window exists because the market is still young, but that window won’t stay open much longer.
If AI remains a model benchmark race, Mistral likely loses. But if AI keeps evolving to become grown-up enterprise infrastructure, Mistral has a real chance.
In an era marked by extraordinary advances in genomic science, pediatric medicine stands on the brink of a transformative revolution. Recent research, as highlighted in the 2026 John Howland Award Lecture by B.D. Gelb, reveals both the breathtaking pace of progress in pediatric genomic medicine and the imperative for measured, responsible integration. This evolving field is redefining the management and understanding of childhood diseases through the power of genomic technologies, yet it also confronts significant challenges that necessitate careful consideration.
At the core of pediatric genomic medicine is the ability to decode the human genome with unprecedented speed and resolution. Next-generation sequencing technologies have dramatically accelerated the identification of genetic variants associated with pediatric conditions, facilitating earlier diagnoses and more targeted therapies. This acceleration not only shortens diagnostic odysseys that often span years but also opens a window into personalized interventions that enhance efficacy and safety in young patients.
However, the speed of these advances demands caution. As Gelb emphasizes, the clinical application of genomic findings must be tempered by rigorous validation and ethical oversight. The rush to implement novel genomic tests and treatments without comprehensive understanding risks unintended consequences—ranging from misinterpretation of data to exacerbating health inequities. The pediatric population, uniquely vulnerable due to developmental considerations, requires a thoughtful approach that balances innovation with prudence.
One remarkable aspect of pediatric genomic medicine is its ability to elucidate rare genetic disorders that were previously enigmatic. Genomic sequencing has illuminated the molecular basis of numerous syndromes, enabling not only precise diagnosis but also shedding light on underlying biological pathways. This knowledge accelerates drug discovery and paves the way for novel therapeutic strategies tailored to the genetic makeup of each child, transitioning from a one-size-fits-all paradigm to precision medicine.
Data integration emerges as a crucial enabling factor in this field. Beyond raw sequencing data, combining clinical phenotypes, family history, and environmental factors enhances diagnostic accuracy. Advanced bioinformatics tools and artificial intelligence algorithms play integral roles in interpreting complex genomic datasets, filtering noise from clinically relevant signals. These computational advancements elevate pediatric genomic medicine from a purely descriptive science to a predictive and proactive discipline.
Yet, the ethical dimensions of pediatric genomics loom large. Issues surrounding informed consent, privacy, and data sharing become particularly complex when dealing with minors. Parents and guardians must navigate decisions that can affect the child’s present and future health, often mediated by uncertainties inherent to genomic interpretations. Responsible stewardship of genomic information necessitates frameworks that safeguard patient autonomy while promoting equitable access to advances.
The potential for genomic screening in newborns represents both an opportunity and a quandary. Early detection of genetic abnormalities could revolutionize preventive care and improve long-term outcomes. Nonetheless, the broader implications of widespread genomic screening require careful examination, including considerations of psychological impact, clinical utility, and cost-effectiveness. Balancing these factors will define the responsible trajectory of pediatric genomic screening programs.
An essential component of progress is the education and training of healthcare providers. Clinicians must be equipped with not only the technical understanding of genomic technologies but also the skills to counsel families effectively. Multidisciplinary teams integrating geneticists, bioinformaticians, ethicists, and pediatricians form the backbone of successful genomic medicine services, ensuring holistic patient care that accounts for biological and psychosocial dimensions.
The expanding landscape of pediatric genomic medicine also intersects with burgeoning fields such as gene editing and regenerative therapies. CRISPR-Cas9 and other tools offer the tantalizing prospect of correcting deleterious mutations at their source. Nonetheless, these approaches are nascent and fraught with scientific and ethical complexities, highlighting the necessity for robust preclinical studies and stringent regulatory oversight before clinical adoption.
International collaboration represents a powerful avenue for accelerating pediatric genomic research and equitable benefit. Shared databases, standardized protocols, and cross-border consortia facilitate the aggregation of genetic data from diverse populations—an essential factor in elucidating variant pathogenicity and expanding therapeutic horizons. Global efforts can help overcome the limitations of fragmented data and enhance the generalizability of genomic discoveries.
Importantly, the pediatric genomic medicine community recognizes the risk of exacerbating healthcare disparities. Technological advances tend to concentrate in well-resourced centers, potentially leaving underserved populations behind. Addressing these disparities requires concerted policy initiatives, public engagement, and infrastructure development to ensure that genomic medicine is accessible to all children, regardless of socioeconomic or geographic status.
Looking ahead, the integration of real-world data and longitudinal studies will be critical in refining the understanding of genomic variants’ penetrance and expressivity in pediatric populations. Such comprehensive datasets will inform dynamic risk models and adaptive therapeutic approaches, further personalizing pediatric care and optimizing outcomes across diverse clinical contexts.
In sum, the landscape of pediatric genomic medicine is one of breathtaking promise intertwined with considerable complexity. The rapid progression in genomic technologies propels the field into uncharted territory, demanding a measured pace that safeguards patient welfare while nurturing innovation. The insights from Gelb’s 2026 John Howland Award Lecture resonate as a clarion call to balance enthusiasm with responsibility, ensuring that the promise of genomics translates into tangible, equitable benefits for children worldwide.
As pediatric genomic medicine continues to evolve, the collaborative engagement of scientists, clinicians, ethicists, policymakers, and patient communities will be paramount. This multidisciplinary synergy will chart the course for harnessing genomic insights with precision and compassion, transforming pediatric healthcare in profound and enduring ways. The future, while bright, must be navigated with vigilance, wisdom, and inclusivity to realize the full potential of genomic medicine for the youngest and most vulnerable members of society.
Subject of Research: Pediatric Genomic Medicine and its clinical and ethical advancement.
Article Title: Pediatric Genomic Medicine—rapid progress, but not too fast: American Pediatric Society’s 2026 John Howland Award Lecture.
Article References:
Gelb, B.D. Pediatric Genomic Medicine—rapid progress, but not too fast: American Pediatric Society’s 2026 John Howland Award Lecture. Pediatr Res (2026). https://doi.org/10.1038/s41390-026-05233-8
Researchers have uncovered a critical mechanism behind battery failure in solid-state batteries, offering new insights that could help unlock safer, longer-lasting energy storage technologies. Every time a smartphone is charged or an electric vehicle is plugged in, billions of lithium ions move through a battery to store energy. Future devices could perform far better with [...]
In a groundbreaking advancement for geriatric health assessment, researchers have unveiled a novel nonexercise approach to estimate cardiorespiratory fitness in older adults by utilizing seismocardiography (SCG). This innovative technology harnesses the subtle vibrations produced by cardiac activity, enabling precise monitoring of cardiovascular function without the need for physical exertion. As aging populations increase globally, the demand for accessible and reliable methods to evaluate heart and lung fitness has never been higher, making this development not only timely but also revolutionary.
Cardiorespiratory fitness traditionally requires exercise testing, involving treadmill or bicycle protocols that may pose risks or be impractical for elderly individuals with limited mobility or chronic conditions. The novel system employing SCG bypasses these challenges, offering a safe and feasible alternative that significantly minimizes patient burden. SCG captures micro-vibrations generated by the heart during each beat using sensitive accelerometers placed on the chest, translating mechanical cardiac events into quantitative data reflective of cardiovascular performance.
The study, led by Sundberg, Gates, and Boraxbekk among others, meticulously validated the use of SCG signals against established measures of cardiorespiratory fitness, such as VO2 max testing, across a diverse cohort of older adults. Their results demonstrated remarkable correlation, confirming that SCG can serve as a reliable proxy for exercise-based evaluations. This breakthrough is poised to transform clinical practice by facilitating widespread cardiovascular screening and monitoring in geriatric populations without exposing them to physical strain.
One of the pivotal technological advances underpinning this approach is the enhancement of signal processing algorithms that can accurately decipher the complex mechanical patterns of heart activity from SCG data. These algorithms filter noise and artifacts, isolating key features such as timing intervals between cardiac events that are indicative of cardiac output and fitness levels. By employing machine learning techniques, the research team optimized predictive models that link SCG metrics with cardiorespiratory capacity.
Beyond the impressive technical accomplishments, the application of SCG for fitness estimation aligns perfectly with the principles of personalized medicine. By providing continuous, noninvasive monitoring methods, clinicians can tailor interventions and lifestyle recommendations based on real-time fitness metrics, facilitating proactive management of cardiovascular health. This could substantially reduce the incidence of cardiovascular events, improve quality of life, and enhance longevity in aging adults.
Importantly, this methodology opens new avenues for remote health monitoring. The compact sensors utilized for SCG are lightweight, unobtrusive, and capable of wireless transmission, enabling integration with mobile health platforms. This may empower elderly individuals to measure their cardiorespiratory fitness regularly from the comfort of their homes. Such democratization of health data can lead to earlier detection of functional decline, prompt clinical interventions, and reduced healthcare costs.
From a physiological perspective, seismocardiography reveals intricate interactions governing heart mechanics, including myocardial contractility and valve function, which are directly tied to oxygen delivery and utilization — the cornerstone of cardiorespiratory fitness. This depth of insight surpasses conventional pulse or blood pressure monitoring, offering a richer dataset for comprehensive cardiovascular assessment. The capacity to obtain these insights passively without exercise expends minimal energy, crucial for frail patients.
The research also emphasizes the feasibility of SCG in monitoring dynamic changes in fitness over time. Whereas exercise-based testing reflects a snapshot requiring considerable effort and clinical resources, SCG’s accessibility permits serial measurements that track progression or regression in cardiorespiratory health. This longitudinal view enhances clinicians’ ability to evaluate treatment efficacy and adjust care plans appropriately.
Moreover, SCG technology exemplifies the convergence of biomechanics, biomedical engineering, and data science, epitomizing modern healthcare innovation. The fusion of robust sensors with advanced computational methods has produced a tool that transcends standard diagnostic modalities, offering a more comprehensive and patient-friendly option. This interdisciplinary synergy highlights the potential for future wearable technologies to expand their role in chronic disease management.
Addressing limitations, the study carefully acknowledges challenges such as variability in SCG signal quality due to anatomical differences and external factors. However, by employing adaptive algorithms and calibration protocols, the researchers have mitigated many of these issues, ensuring consistent performance across diverse patient profiles. Ongoing refinements aim to further enhance accuracy and user-friendliness, making broad clinical adoption realistic.
The implications of this research extend beyond geriatric cardiology, potentially influencing rehabilitation programs, sports science, and preventive medicine. With further validation, SCG could monitor athletes’ fitness without exhaustive testing or assist in evaluating pulmonary function in respiratory diseases. Its versatility underscores the broad applicability of biomechanical sensing in health monitoring paradigms.
In conclusion, the integration of seismocardiography for the nonexercise estimation of cardiorespiratory fitness in older adults marks a paradigm shift in cardiovascular health assessment. By circumventing the constraints of traditional exercise testing, this technology enables safe, efficient, and insightful evaluations that can be performed repeatedly and remotely. As the elderly demographic surges worldwide, the deployment of such innovative methods will be pivotal in optimizing healthcare delivery and promoting healthier aging.
The promise of SCG transcends mere technological novelty; it represents a compassionate approach to health evaluation that respects the physical limitations and safety of vulnerable populations. Empowering healthcare providers with precise, noninvasive tools enriches clinical decision-making and enhances patient outcomes. Looking ahead, continued research and integration with digital health ecosystems will likely establish seismocardiography as a cornerstone in the management of cardiovascular fitness.
Ultimately, the study spearheaded by Sundberg and colleagues not only broadens scientific understanding but also provides a tangible blueprint for implementing cutting-edge sensing technologies in everyday clinical practice. The synergy of engineering excellence, clinical insight, and patient-centric design encapsulates the future of medical innovation — one that prioritizes accessibility, safety, and actionable intelligence for all.
Subject of Research: Nonexercise estimation of cardiorespiratory fitness in older adults using seismocardiography.
Article Title: Seismocardiography for nonexercise estimation of cardiorespiratory fitness in older adults.
Article References:
Sundberg, M., Gates, A.T., Boraxbekk, C.J., et al. Seismocardiography for nonexercise estimation of cardiorespiratory fitness in older adults. BMC Geriatr (2026). https://doi.org/10.1186/s12877-026-07771-6
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