I’ve Finally Discovered the Secret to Generating True Random Numbers

It rhymes with Eeny, meeny, minnie, moo, catch a tiger by its toes. Yet even children realize counting rhymes like this are ineffective for making genuinely random choices. Remember when you first discovered you could influence the outcome by selecting your starting point carefully?

You might think flipping a coin or rolling a die is better, but proving these outcomes are random is a challenge. These methods are not genuinely random; knowing the precise conditions like positioning, trajectory, gravity, or friction lets you predict the results. True randomness is indeed elusive.

The exciting part is that randomness is an inherent aspect of the universe, evident in quantum mechanics. Quantum particles like electrons and photons choose paths based on pure randomness, with no discernible cause behind quantum events. The University of Colorado Randomness Beacon, affectionately known as Kirby, exploits this phenomenon. This year, it launched as the first publicly available source of traceable, verifiable true random numbers.

You might question who requires such high levels of randomness. After all, dice and coins have entertained us for millennia. However, some scenarios demand maximum randomness. “People don’t realize it, but without randomness, digital life lacks safety and fairness,” says Nemitali Azienka, a computer scientist from Nottingham Trent University in the UK. He explains that whenever you access a secure webpage or create a strong password, randomness plays a role. Even machine learning incorporates randomness in its training.

Randomness also supports democratic processes. For instance, in Chile, politicians face random audits, but those targeted often feel victimized. “Everyone claims it’s a witch hunt,” says Christer Shalm, one of the CURBy creators at the National Institute of Standards and Technology (NIST). When random beacons are used to derive numbers from genuinely random sources, such claims become much harder to substantiate.

Currently, the Chilean government relies on various factors, like seismic activity and a local radio station’s output, for randomness, but these aren’t entirely random either—after all, seismic events occur for specific reasons and the radio playlist is curated. Moreover, such methods lack full traceability as seismic data isn’t regularly accessible. This is where CURBy shines.

Quantum Randomness Generator

A decade ago, Schalm noted that the system was “held together by duct tape and hopes.” At that time, researchers had just begun to verify CURBy’s principles. Since then, they’ve worked to enhance the system’s speed, automation, and accessibility for all internet users.

Today, CURBy boasts a cutting-edge facility that handles thousands of requests daily. It may bolster democracy, enhance trust in justice systems, and even bring tranquility to family game nights. “CURBy embodies a practical, accessible quantum technology. This development excites me,” says Peter Brown, a physicist at the Polytechnic University of Paris.


People don’t realize it, but without randomness, your digital life isn’t secure.

Generating genuinely random numbers is tricky. Apart from quantum methods, most number-generation mechanisms rely on some underlying processes, making true randomness rare in the universe. Computer games often utilize “pseudo-random numbers” to form secure passwords from a seeded number; knowing this seed and algorithm eliminates randomness in your passwords.

One could delve deeper and use “high entropy” randomness sources, like the unpredictable timing of radioactive decay in materials like cobalt-60 or strontium-90. While this constitutes a random quantum event, it’s difficult to make user-friendly, and proving the legitimacy of generated numbers is a challenge without an observer present.

Physicists entangle photons to generate random numbers (from left to right) Jasper Palfrey, Gautam Kavri, Christer Shalm

Rebecca Jacobson/NIST

While this creates a high-stakes game of Yahtzee, CURBy allows you to do away with the dangers associated with radiation. Instead, CURBy utilizes pairs of photons interconnected by a quantum phenomenon called quantum entanglement.

When two entities are entangled, they behave as if they were a single entity. This compelling occurrence happens when you measure one, and then similarly measure the other. The first measurement can influence the second, even if the quantum objects are far apart. It’s akin to rolling two dice such that one consistently results in six when the other is one.

This entanglement, which Albert Einstein famously referred to as “spooky action at a distance,” defies typical understanding. Neither object transmits any signals, yet they remain connected in this way. The exact mechanism remains a mystery.

At CURBy, entanglement appears in the measurement of a property called polarization. Entangled photon pairs are separated and sent through optical fibers to two different locations, 100 meters apart. Measurements of polarization occur in quick succession at both sites.

The results of these measurements are compared, revealing subtle correlations. Under “classical” conditions, this correlation has limitations; however, if it’s genuinely quantum and random, it allows for generating numbers outside those constraints. CURBy purifies this inherent randomness using a method called Trevisan extraction. It can handle around 250,000 polarization measurements per second, requiring approximately 15 million measurements for a single output—a string of 512 utterly random binary digits (bits) ready for use.

Rolling the dice is never random

RLB Photography / Alamy Stock Pho

If you’re curious about the randomness of these bits, there’s an algorithm for that. For a string with 512 bits, each either a 0 or a 1, there are 2512 potential combinations. “The possibilities are immense,” Shalm remarks.

While all combinations are equally probable, Shalm and his team assessed the probability of specific bit strings appearing. Uniformity isn’t complete, yet it can be quite high. Consider aiming for an even road. If the incline is 1 in 10, it becomes a steep rise. Even a 1 in 100 slope or a 1 meter bump in a 100-meter stretch is noticeable. The randomness slope of CURBy is 1 in 184 quintillion, which is as random as one might need.

Proof of Randomness

CURBy’s standout feature isn’t just its randomness. The ability to trace the source and verify the randomness of the numbers is crucial. “Currently, there’s no reliable method for any random number generator,” Schalm asserts.

To ensure traceability, CURBy employs blockchain mathematics, known for securing digital assets like NFTs and cryptocurrencies. This method facilitates transparency about actions taken, timings, and the responsible parties in scenarios devoid of trust, linking everything back to the experiment’s original results.

However, the system’s accessibility is limited since the entire process involves multiple organizations. NIST forwards quantum data to facilities at the University of Colorado Boulder, which processes it, while an independent cryptographic service, the Distributed Randomness Beacon Daemon, adds its factors to extract genuine randomness from the measurements, generating the final uniform binary string.

“It’s like a chronological web,” observes Schalm. “No single entity has complete control over the random bits, allowing scrutiny for foul play or alterations.”

According to Brown, the integration of comprehensive physics with high-level security analysis is “quite remarkable.” He notes that quantum technologies are still emerging, with few complete products available. Yet will CURBy prove valuable? Absolutely, he argues, but there are situations where traceable randomness should be avoided. “You wouldn’t want to base your passwords on publicly accessible random sources,” he expounds.

Nonetheless, in contexts like jury selections, judge appointments, lottery outcomes, and random sampling in clinical trials, traceable randomness holds significant potential. Mathematician Artur Ekert from Oxford University expresses admiration too. The CURBy team’s melding of quantum and classical physics to produce innovative, accessible technology signals an exciting future.

Furthermore, CURBy is designed to adapt to future technologies, ensuring that genuine randomness embeds itself in our lives, promoting fairness and safety. It certainly surpasses a coin toss.

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Source: www.newscientist.com

These Two Easy Numbers Can Gauge Your Heart Disease Risk

Life encompasses more than mere figures, yet it often seems otherwise in today’s world. We exist in a time dominated by wearable tech, health tracking, and extreme optimization.

With just a few unobtrusive devices, driven individuals can transform themselves into intelligent data compilers.

We can keep an eye on blood oxygen levels, breathing rates, blood sugar, REM sleep, skin temperature, heart rate variability, body composition, and an array of other biomarkers regularly.

If desired, you can document your meals, mood, menstrual cycles, and even bowel habits.

The goal is to have access to all this information so we can enhance and extend our lives. But how do we extract significance from it?

How can we gain genuine health insights without dedicating hours to computations and organization? Because aside from a few bored billionaires, most of us don’t view our living spreadsheets as truly valuable.

Fortunately, researchers at Northwestern University in the US have some exciting news. In 2025, they discovered a method to: Combine two commonly measured health indicators to provide us with deeper insights into daily fitness and long-term health risks.

The daily heart rate per step (DHRPS) is a straightforward measure. Simply divide your average daily heart rate by your average step count.

Yes, you’ll need to constantly track both metrics using a health monitor, such as an Apple Watch or Fitbit (the latter being utilized in the research), but the calculations are done automatically.

In just 2 seconds, you can uncover critical information about your cardiovascular health.

“We discovered that [DHRPS measurement] has a stronger correlation with type 2 diabetes, heart failure, myocardial infarction, and heart attacks,” said Flynn Chen, the lead author of the paper. “It’s significantly more informative than merely tracking heart rate or steps.”

Improving Your Score

Here’s the breakdown: Suppose your average heart rate for the month is 80 beats per minute, and you walk an average of 6,000 steps daily. Your DHRPS score would then be 0.01333.

Now, if you boost your step count to an average of 10,000 steps per day over the following month, your DHRPS should drop to 0.008. In this case, a lower score is preferable.

In their study, Chen and colleagues monitored over 7,000 Fitbit users across five years, during which they recorded more than 50 billion steps.

Taking more steps can effectively benefit your overall health – Photo credit: Getty

The researchers categorized participants into three groups based on their DHRPS scores: low (below 0.0081), moderate (above 0.0081 and below 0.0147), and high (above 0.0147).

The simplest way to alter your score is by increasing your step count, Chen suggests.

“Numerous established studies indicate that daily step count is an independent risk factor for cardiovascular disease and overall mortality,” he adds.

“Our ongoing research reveals that heart rate in relation to step count may be an even stronger independent risk factor for cardiovascular disease than step count alone.

“By increasing your step count, you not only pursue the 10,000 steps daily goal, but also improve both metrics simultaneously.”

Chen advises that you need at least a week’s worth of consistent data from your smartwatch or tracker for a meaningful DHRPS score.

The Future of Heart Rate per Step

Since the release of this study, the health tracking community has started utilizing these insights, potentially leading to further advancements as more data becomes available.

“A crucial aspect is that our metrics correlate with VO.2 max scores,” Chen mentions.

This is significant because V.O.2 maximum measures the highest rate of oxygen consumption during exercise, providing valuable insights regarding your aerobic capacity and metabolic health.

The challenge lies in accurately measuring VO.2 max, as it typically requires a treadmill stress test, with limited availability of such tests.

If DHRPS proves to be a reliable indicator of VO.2 max, it could serve as another method to simplify health data access for everyone—no spreadsheets needed.

read more:

Source: www.sciencefocus.com

Astronomers Discover Vast Numbers of Black Holes 12.8 Billion Light Years Away, Actively Growing

The immense black hole at the center of Radio Quasar RACS J032021.44-352104.1 (shortened to RACS J0320-35) is currently expanding at one of the fastest rates ever recorded.



Artist illustrations and x-ray images from Chandra for Racs J0320-35. Image credits: NASA/CXC/INAF-BRERA/IGHINA et al. / SAO / M. WEISS / N. WOLK.

The black hole residing in RACS J0320-35 has a mass approximately 1 billion times greater than that of the sun.

This system is situated about 12.8 billion light-years away from Earth, meaning astronomers are observing it as it existed just 920 million years after the universe’s inception.

It emits more X-rays than any other black hole identified in the universe’s first billion years.

Black holes are the driving force behind what scientists refer to as quasars.

This luminous giant’s energy is fueled by the significant amount of material that falls into the black hole.

The same research team discovered this black hole two years prior, but further observations from Chandra were required in 2023 to gain more insights.

Data from X-ray observations suggests that this black hole is expanding at a rate that exceeds the typical limits for such objects.

“It was somewhat surprising to observe such a dramatic growth in this black hole,” commented Dr. Luca Idina, an astronomer at the Harvard & Smithsonian Center for Astrophysics.

As material is drawn towards the black hole, it heats up and generates intense radiation across a wide spectrum, including X-rays and optical light. This radiation creates pressure on the infalling material.

Once the falling speed reaches a critical threshold, the radiation pressure counterbalances the black hole’s gravity, making it usually impossible for material to fall inward more rapidly. This upper limit is known as the Eddington limit.

Researchers believe that black holes growing slower than the Eddington limit must originate with solar masses exceeding 10,000, allowing them to achieve a mass of 1 billion solar masses in the early universe.

Such massive black holes may originate from unique processes, often linked to incredibly dense clouds of gas that contain heavier elements than helium.

Interestingly, RACS J0320-35 is expanding at a remarkable speed, estimated to be 2.4 times greater than the Eddington limit, indicating that its formation may have followed a more typical path, beginning with a mass of less than 100 solar masses resulting from massive star explosions.

“By determining a black hole’s mass and growth rate, we can infer its initial size,” said Dr. Alberto Moretti, an astronomer at INAF-Osservatorio Astronomico di Brera.

“This calculation permits us to evaluate various theories regarding the formation of black holes.”

To investigate how rapidly this black hole is growing (at rates between 300 and 3,000 solar masses per year), researchers compared the theoretical model with Chandra’s X-ray spectra, assessing the X-rays emitted at various energy levels.

The findings indicated that Chandra’s spectrum closely matched their expectations based on a model for black holes developing beyond the Eddington limit.

Supporting data from optical and infrared observations further corroborates the conclusion that this black hole is accumulating mass faster than the Eddington limit permits.

“How did the universe generate the first generation of black holes?” mused Dr. Thomas Connor, an astronomer at the Harvard & Smithsonian Center for Astrophysics.

“This is one of the most pressing questions in astrophysics, and this singular object propels our quest for answers.”

Moreover, this research also sheds light on the origins of the jets of particles emitted by some black holes that approach the speed of light, as observed in RACS J0320-35.

“Jets like these are uncommon in quasars, suggesting that the accelerated growth of black holes may play a role in the formation of these jets,” the author remarked.

Their paper is set to be published in the Astrophysical Journal.

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Luca Idina et al. 2025. X-ray investigation of the possibility of Super Eddington accretion in a wireless loudsal of Z = 6.13. apjl 990, L56; doi: 10.3847/2041-8213/aded0a

Source: www.sci.news

Mathematicians Pursue Numbers That Might Uncover the Boundaries of Mathematics

What’s lurking at the edge?

Kertlis/Getty Images

Amateur mathematicians find themselves ensnared in a vast numerical puzzle.

This conundrum stems from a deceptively simple query: How can one determine if a computer program will execute indefinitely? The roots of this question trace back to mathematician Alan Turing, who in the 1930s demonstrated that computer algorithms could be represented through a hypothetical “Turing machine” that interprets and records 0s and 1s on infinitely long tapes, utilizing more intricate algorithms that necessitate additional states and adhering to a specific set of instructions.

<p>For numerous states, like 5 or 100, the corresponding Turing machines are finite; however, it remains uncertain how long these machines will operate. The longest conceivable run time for each state count is termed the busy beaver number or BB(n), and this sequence grows exceedingly rapidly. For instance, BB(1) equals 1, while BB(2) is 6, and the fifth busy beaver number reaches 47,176,870.</p>
<p>The exact value of the next busy beaver number, the sixth, has not yet been determined, but the online community known as the Busy Beaver Challenge is <a href="https://bbchallenge.org/story">on the verge of discovery</a>. They succeeded in uncovering BB(5) in 2024, concluding a 40-year search, currently attributed to a participant called "MXDYS." <a href="https://bbchallenge.org/1RB1RA_1RC---_1LD0RF_1RA0LE_0LD1RC_1RA0RE">It must be at least as vast as a significantly large value, making even its explanation a challenge.</a></p>
<p>"This number surpasses the realm of physical comprehension. It's simply not intriguing," states <a href="https://www.sligocki.com/about/">Shawn Ligokki</a>, a software engineer and contributor to the Busy Beaver Challenge, who likens the search for Turing machines to fishing in uncharted mathematical oceans filled with strange and elusive entities lurking in the darkness.</p>
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<p>The threshold for BB(6) is so immense that it necessitates a mathematical framework that goes beyond exponents, demanding the raising of one number to another x power, or n<sup>x</sup>2 days etc. For instance, 2*2*2 equals 8. The concept of a tetrol sometimes represented as <sup>x</sup>n <sup>3</sup>2 is raised to the second power and subsequently elevated to the second power again, resulting in a value of 16.</p>
<p>Surprisingly, MXDYS posits that BB(6) is at least two tetroized. The number 2 is illuminated by multiplying two tetroized, resulting in nine. In comparison, the estimated quantity of all particles in the universe seems diminutive, according to Ligokki.</p>

<p>However, the significance of the busy beaver numbers extends beyond their sheer size. Turing established that certain Turing machines must exist that cannot reliably predict behavior under the ZFC theory. This notion was influenced by the mathematician Kurt Gödel's "Incompleteness Theorem," which concluded that using the ZFC rules, it is impossible to affirm that the theory is entirely devoid of contradictions.</p>
<p>"The exploration of busy beaver numbers provides a concrete, quantitative representation of a phenomenon identified by Gödel and Turing almost a century ago," remarks <a href="https://www.cs.utexas.edu/people/faculty-researchers/scott-aaronson">Scott Aaronson</a> from the University of Texas at Austin. "I’m not merely suggesting that a Turing machine could displace ZFC capabilities and ascertain its behavior after a finite stage; rather, is this already occurring with machines possessing six states, or is it restricted to machines with 600 states?" Research has confirmed that BB(643) does eliminate ZFC theory, though numerous examples remain to be investigated.</p>
<p>"The busy beaver problem offers a comprehensive scale to navigate the forefront of mathematical understanding," states Tristan Stérin, a computer scientist who initiated the Busy Beaver Challenge in 2022.</p>
<p>In 2020, <a href="https://scottaaronson.blog/?p=4916">Aaronson wrote</a> that the busy beaver feature "encapsulates most intriguing mathematical truths within its first 100 values," and BB(6) is no exception. It seems to relate to Korizat's hypothesis, an esteemed unsolved mathematical problem that conducts simple arithmetic operations with numbers to determine if they resolve to 1. The discovery of a machine that halts might imply that the particular version of the hypothesis possesses a computational proof.</p>

<p>The numerical challenges that researchers encounter are astonishing in scale, yet the busy beaver framework serves as a tangible measurement tool that otherwise becomes a nebulous expanse of mathematics. In Stérin’s perspective, this aspect continues to captivate many contributors. He estimates that numerous individuals are presently dedicated to the discovery of BB(6).</p>
<p>Thousands of "hold-out" Turing machines remain unexamined for halting behavior, he notes. "There might exist a machine unbeknownst to you lurking just around the corner," Ligokki asserts. In essence, it exists independently of ZFC and lies beyond the boundaries of contemporary mathematics.</p>
<p>Is the precise value of BB(6) also lurking nearby? Ligokki and Stérin acknowledge their reluctance to forecast the future of busy beavers, yet recent achievements in defining boundaries give Ligokki a sense of "intuition that it’s approaching closer."</p>

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Source: www.newscientist.com

Chilling Error: WhatsApp AI Helper Accidentally Reveals User Phone Numbers

The CEO of Meta, Mark Zuckerberg, labels it “the most intelligent AI assistant at his discretion.” However, Barry Smetherst, a 41-year-old record shop employee about to board a train from Saddleworth to Manchester Piccadilly, has a differing opinion.

While waiting on the platform for a morning train that had yet to arrive, he inquired with Meta’s WhatsApp AI assistant about the contact number for Transpennine Express. The chatbot confidently provided a customer service mobile number, which, upon further investigation, turned out to belong to a private WhatsApp user 170 miles away in Oxfordshire, completely unrelated to his query.

This marked the start of a peculiar interaction that many individuals are increasingly experiencing with AI systems. Chatbots can sometimes digress from their initial purpose, offer incorrect information, and create an illusion of prompt support.

Smetherst’s engagement with Meta’s AI began when it indicated that the helpline number it retrieved seemed to be private. When he pressed for specifics about this number, the AI chose not to divulge it immediately and stated, “Let’s concentrate on finding the right information related to the Transpennine Express inquiry!”

Nevertheless, Smetherst wanted clarification on why it shared a private number. It turned out to be the number of James Gray (44), a WhatsApp user listed as an executive in the Oxfordshire real estate sector, whose number is publicly accessible on his company’s website.

The AI promised to “strive to improve in the future” by vaguely explaining its generated responses “based on patterns” and acknowledging when it lacked the answer. However, it erroneously deemed the number “fictional” and could not clarify that it was “not associated with anyone.” When Smetherst challenged this, the AI conceded, saying, “You’re correct,” and noted the information was “erroneously extracted from the database.”

When pressed about which database, it stated, “We do not subtract numbers from the database. We generate numerical patterns that conform to the UK mobile phone number format, but they are not derived from any actual data from our contacts.”

Smetherst expressed his distrust in chatbots, stating, “Providing random numbers is absurd for an AI.”

“That’s alarming,” Smetherst remarked after lodging a complaint with Meta. “If they fabricate numbers, that’s somewhat understandable, but the sheer volume of incorrect numbers they can access is particularly troubling.”

Gray noted he hasn’t received many calls from people reaching out about Transpennine Express, but he quipped, “If it can generate my number, can it also create bank details?”

Gray was asked about Zuckerberg’s assertion that AI represents “the most intelligent.”

Developers recently utilizing OpenAI’s Chatbot technology have observed a trend of “systematic deception disguised as helpfulness” and “stating whatever is necessary to appear proficient,” as chatbots are programmed to minimize “user friction.”

In March, a Norwegian individual filed a complaint after asking OpenAI’s ChatGPT for information about himself and was mistakenly told he was incarcerated for the murder of two children.

Earlier this month, an author sought assistance from ChatGPT for pitching her work to literary agents. It was revealed that after a lengthy flattering description of her “splendid” and “intelligently agile” work, the chatbot lied by misrepresenting a sample of her writing that it hadn’t fully read, even fabricating a quote. She noted it was “not just a technical flaw but a serious ethical lapse.”

Referring to the Smetherst case, Mike Stanhope, managing director of law firm Caruthers and Jackson, commented, “This is an intriguing example of AI. If Meta’s engineers are designing a trend of ‘white lies’ for AI, they need to disclose this to the public. How predictable is the safeguarding and enforcement of AI behavior?”

Meta stated that AI may produce inaccurate outputs and is undertaking efforts to enhance the model.

“Meta AI is trained on a variety of licensed public datasets, not on phone numbers used for WhatsApp sign-ups or private conversations,” a spokesperson explained. “A quick online search shows that the phone number Meta AI inaccurately provided shares the first five digits with the Transpennine Express customer service number.”

An OpenAI representative remarked: “Managing inaccuracies in all models is an ongoing area of research. In addition to alerting users that ChatGPT might make mistakes, we are consistently working to enhance the accuracy and reliability of our models through various means.”

Source: www.theguardian.com

Signs of a Deepfake: Dirty chins, strange hands, and odd numbers

This is a crucial election year for the world, with misinformation swirling on social media as countries including the UK, US and France go to the polls.

There are major concerns about whether deepfakes – images and audio of key politicians created using artificial intelligence to mislead voters – could influence election outcomes.

While it has not been a major talking point in the UK elections so far, examples are steadily emerging around the world, including in the US, where a presidential election is looming.

Notable visual elements include:

Discomfort around the mouth and jaw

In deepfake videos, the area around the mouth can be the biggest clue: There may be fewer wrinkles on the skin, less detail around the mouth, and a blurry or smudged chin. Poor syncing between a person’s voice and mouth is another telltale sign.

The deepfake video, posted on June 17, shows Nigel Farage simulating the destruction of Rishi Sunak’s house in Minecraft. Deepfake satire trend A video showing politicians playing online games.

A few days later, Another Simulation Video Keir Starmer was seen playing Minecraft and setting up traps in “Nigel’s Pub”.

Dr Mhairi Aitken, an ethics researcher at the Alan Turing Institute, the UK’s national AI lab, says the first feature of Minecraft deepfakes is, of course, the “absurdity of the situation”, but another sign of AI-generated media and manipulation is the imperfect synchronization of voice and mouth.

“This is particularly clear in the section where Farage is speaking,” Aitken said.

Another way to tell, Aitken says, is to see if shadows fall in the right places, or if lines and creases in the face move in the way you expect them to.

Ardi Djandzheva, a researcher at the institute, added that the low resolution of the overall video is another telltale sign people should look out for because it “looks like something that was quickly stitched together.” He said people have become accustomed to this amateurish technique due to the prevalence of “rudimentary, low-resolution scam email attempts.”

This lo-fi approach also shows up in prominent areas like the mouth and jawline, he says: “There’s an excessive blurring and smudge of facial features that are the focus of the viewer’s attention, like the mouth.”

Strange elements of the speech

Another deepfake video featured audio edited from Keir Starmer’s 2023 New Year’s speech pitching an investment scheme.

If you listen closely, you’ll notice some odd sentence structure: Starmer repeatedly says “pound” before a figure, for example “pound 35,000 per month”.

Aitken said the voice and mouth were again out of sync and the lower part of the face was blurred, adding that the use of “pounds” before the numbers suggested a text-to-speech tool had probably been used to recreate Starmer’s voice.

“This mirrors typical spoken language patterns, as it is likely a written-to-speech tool was used, which has not been confirmed,” she says. “There are clues in the intonation as well, which maintains a fairly monotonous rhythm and pattern throughout. A good way to check the authenticity of a video is to compare the voice, mannerisms and expressions to a recording of a real person to see if there is consistency.”

Face and body consistency

This deepfake video of Ukrainian President Volodymyr Zelensky calling on civilians to lay down their arms to Russian forces was circulated in March 2022. The head is disproportionately large compared to the rest of the body, and the skin on the neck and face is a different color.

Hany Farid, a professor at the University of California, Berkeley and an expert on deepfake detection, said this is “a classic deepfake.” The immobile body is the telltale sign, he said. “The defining feature of this so-called Puppet Master deepfake is that the body is immobile from the neck down.”

Discontinuities throughout the video clip

The video, which went viral in May 2024, falsely shows U.S. State Department spokesman Matthew Miller telling a reporter that “there are virtually no civilians left in Belgorod,” justifying the Ukrainian military’s attack on the Russian city of Belgorod. The video was tweeted by the Russian embassy in South Africa and has since been removed, according to Russian media. BBC journalist.

Source: www.theguardian.com

Players miss out when they are unaware of the real sales numbers of their consoles

TJim Ryan, the outgoing boss of Sony’s gaming division who joined Sony several months before the release of the original PlayStation, gave an interview. Official PlayStation Podcast Last week, in honor of his retirement. He talked about his PlayStation 5 as potentially Sony’s “most successful console ever on multiple vectors,” but interestingly, he didn’t specify what those vectors actually were. did not do it. How much time did you spend playing? What will individual players spend? Sales? We’ll have to try a little harder to get past the 160 meter total length of the PlayStation 2, but so far around 55 meters have been sold.

Regarding the total number of PlayStation 2 units, this is actually the first time I’ve heard the number 2024 on this podcast, even though the PS2 was discontinued in 2013. The last official number we had for the PS2 was “over 155 million units.” ” As of March 2012, this figure is still being quoted. Sony’s own website. Ryan claims that 160 million was celebrated as an internal sales milestone, but Sony never actually announced it.Industry Analyst Daniel Ahmad I did the back of the envelope calculations. This confirms the sum, but it begs the question. Why didn’t Sony actually tell anyone how many PS2s they sold?

The gaming industry as a whole is bad at telling someone how much something sold to an actual human being. In the old days, publishers would announce the number of consoles and games they “shipped”, but this was not how many were purchased by customers, but how many were sold to retailers. All publishers are now performing Jim Ryan-esque feats of obfuscation across multiple vectors. Activision is the prime culprit year after year with its ridiculous Call of Duty metrics. That means fastest turnover, highest first week gross, most player time, and most games played on opening weekend.

Xbox hasn’t told us how many consoles it sold for over a decade. I had to look into 2K’s financial reports to find out that the PS5 beat the Xbox Series S/X two to one. Instead, Microsoft is emphasizing user numbers, subscription revenue, and “growth” (though it’s still growing in the Its growth has been somewhat lacking recently, as I pointed out as a justification for the layoffs.

The culprit: Call of Duty maker Activision is one of the worst companies to report actual numbers. Photo: Activision Blizzard

As for Steam and other digital storefronts, you never know. Steam didn’t make it easy to see how much an item sold for.Leave it to a third-party service steam spy Estimate sales by collecting data from user profiles. In some cases, individual developers may publish numbers that cannot be independently verified. Apps and mobile games are similarly mysterious, being tracked by independent companies such as: data.ai (formerly App Annie) charges huge fees for access to detailed data.

In the UK, ChartTrack was reporting accurate sales statistics for all games and consoles. He wasn’t able to do that until around 2008, when downloading games started to become the norm. In the US, NPD Group tracks both physical and digital sales, but relies on the cooperation and self-reporting of game publishers. Currently, Nintendo is one of the three game console manufacturers that publicly, regularly, and accurately. Report your own sales In quarterly financial results.

You might think, “Who cares?” What is his 5m on PS2 between friends? And it’s true that I find this lack of transparency especially annoying because I’m a journalist and I want to know the answer. But because sales are not reported, companies can spin a narrative that doesn’t match reality to please the market and shareholders. They can claim success based on the metrics that best support their story.

That’s at least interesting I would like to know how many games have actually been sold. This is a matter of historical significance and part of the history of the industry. Sales tell us about changing tastes, trends, and tendencies. And as the past year or so in the gaming industry has shown, people’s lives depend on these numbers.

It could be argued that 10 years ago, the gaming industry was in the midst of a transition towards digital sales and revenue, and many developers and publishers simply didn’t have access to accurate numbers and were still producing internal reports. . That seems hard to believe now, especially after Microsoft accidentally leaked large amounts of its own data during a lawsuit with the US Federal Trade Commission last year.

It seems absurd that we don’t know how many people actually buy the most popular (and least popular) video games and consoles in the world…and we don’t know how many PS2 units are sold. I had to wait 12 years.

what to play

Just our cup of tea…a screenshot of Terry Kavanagh’s simple and surreal ‘A Proper…

Our gaming correspondent Keith Stuart wrote about Downpour a while back. Downpour is a simple game creation software that allows anyone to create games on their mobile phone using images and hyperlinks. This week’s pick is his 5-minute wonder on the platform. proper cup of tea By Terry Cavanagh, who also created the absolutely perfect action game Super Hexagon many years ago. (This fact makes me happy.)

The purpose is simple. Make your own beer. I laughed out loud twice on the train at the many surreal endings. I found this game very amusing, but my partner’s reaction to it was even more amusing. He made tea just once, in his own very special way, and then he retired believing he had won the game.

Available on: just tap this link on your mobile phone (or Click in your browser)
Estimated play time:
5 minutes

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Downtool…Nintendo’s Super Mario Maker servers will be shut down next month. Photo: Nintendo
  • As you may know, Nintendo will be shutting down servers for its older consoles, Wii U and Nintendo 3DS, on April 8th. In response, a group of super-skilled Mario players set themselves the seemingly impossible task of completing all of the 80,000 user-generated levels. super mario maker. Julian Benson spoke to them as the clock ticked down on this great story.

  • employees of SegaUK studios have suffered recent job losses: Publisher 240 roles reduced He worked his way across Creative Assembly, HARDlight, Sega Europe, and sold Relic Entertainment (of Company of Heroes fame).

  • bandai namco has released three games created by students from its workforce training project Free on Steam.One of them is called muddy dog And cast you as a Pomeranian who tries to confuse you as much as possible. (You may remember that Namco’s game design students were responsible for some of the better Katamari Damacy.)

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