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Quantum Battery: The Bigger, The Faster
Australian scientists have assembled the world's first working prototype of a quantum battery.
Unlike chemical analogues, the quantum battery uses quantum mechanics. The key effect is "superabsorption": the system absorbs light all at once, not gradually, enabling instantaneous charging.
The uniqueness lies in the fact that charging speed increases with the size of the battery, which has been experimentally confirmed. To verify this, lasers from the University of Melbourne were used, recording signals on femtosecond scales. The prototype operates at room temperature.
It is far from practical application. According to project lead Dr. James Quach, the main task is to increase energy storage time. The battery charges instantly, but does not hold the charge long enough. Nevertheless, creating a working prototype is a serious step.
Australian scientists have assembled the world's first working prototype of a quantum battery.
Unlike chemical analogues, the quantum battery uses quantum mechanics. The key effect is "superabsorption": the system absorbs light all at once, not gradually, enabling instantaneous charging.
The uniqueness lies in the fact that charging speed increases with the size of the battery, which has been experimentally confirmed. To verify this, lasers from the University of Melbourne were used, recording signals on femtosecond scales. The prototype operates at room temperature.
It is far from practical application. According to project lead Dr. James Quach, the main task is to increase energy storage time. The battery charges instantly, but does not hold the charge long enough. Nevertheless, creating a working prototype is a serious step.
The first unmanned career dump truck was created in China
The 14-meter Shuanglin K7 weighs 100 tons and can carry up to 158 tons of cargo. The truck moves forward, backward, "crabs," and turns on the spot, and its battery can be changed in a couple of minutes.
The use of this monster will increase transportation efficiency by 35% and reduce the risk of typical safety-related incidents by as much as 90%.
The 14-meter Shuanglin K7 weighs 100 tons and can carry up to 158 tons of cargo. The truck moves forward, backward, "crabs," and turns on the spot, and its battery can be changed in a couple of minutes.
The use of this monster will increase transportation efficiency by 35% and reduce the risk of typical safety-related incidents by as much as 90%.
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China is building a country of robots
China's population is shrinking rapidly. According to UN projections, by the year 2100 it could drop by half – to 633 million people.
More than half of the people will be older than 60 years. The problem is obvious: there is no one to work. But China is solving it without attracting people from other countries.
Salvation has been found
According to forecasts, in the coming years China will deploy up to 300 million humanoid robots to close the labor shortage.
For scale: this is almost the entire population of the USA.
Logistics, warehouses, production – all of this is already being automated. And in the video – an example of one of such factories, which is 90% made up of robots.
China's population is shrinking rapidly. According to UN projections, by the year 2100 it could drop by half – to 633 million people.
More than half of the people will be older than 60 years. The problem is obvious: there is no one to work. But China is solving it without attracting people from other countries.
Salvation has been found
According to forecasts, in the coming years China will deploy up to 300 million humanoid robots to close the labor shortage.
For scale: this is almost the entire population of the USA.
Logistics, warehouses, production – all of this is already being automated. And in the video – an example of one of such factories, which is 90% made up of robots.
Galaxy Watch learns to predict fainting
Samsung, together with Chung-Ang University Hospital, conducted a study which showed: standard Galaxy Watch 6 devices are capable of warning of an impending faint five minutes before it happens. Accuracy — 84.6%.
We are talking about vasovagal syncope — this is when pulse and pressure drop sharply due to stress, overexertion, or stuffiness, and the person loses consciousness. The faint itself is usually not dangerous, but the fall — oh yes. Fractures, concussions, head injuries. According to statistics, up to 40% of people experience such an episode at least once in their lives, and for a third, it recurs.
How it works. The optical sensor (PPG) built into the watch continuously reads the pulse. The AI algorithm analyzes heart rate variability (HRV) and recognizes the approach of syncope based on characteristic patterns. The study involved 132 patients suspected of vasovagal syncope; tests were conducted under controlled conditions with induced faints. The model's sensitivity was 90%.
Results were published in the European Heart Journal – Digital Health, and this is the first study in the world to confirm the possibility of early prediction of faints using commercial smartwatches.
For now, this is exactly a study, not a ready-made function in the watches. But the direction is clear: if you warn a person even a couple of minutes in advance, they will have time to sit down or lean on something. A simple thing that can save you from serious injury.
Samsung, together with Chung-Ang University Hospital, conducted a study which showed: standard Galaxy Watch 6 devices are capable of warning of an impending faint five minutes before it happens. Accuracy — 84.6%.
We are talking about vasovagal syncope — this is when pulse and pressure drop sharply due to stress, overexertion, or stuffiness, and the person loses consciousness. The faint itself is usually not dangerous, but the fall — oh yes. Fractures, concussions, head injuries. According to statistics, up to 40% of people experience such an episode at least once in their lives, and for a third, it recurs.
How it works. The optical sensor (PPG) built into the watch continuously reads the pulse. The AI algorithm analyzes heart rate variability (HRV) and recognizes the approach of syncope based on characteristic patterns. The study involved 132 patients suspected of vasovagal syncope; tests were conducted under controlled conditions with induced faints. The model's sensitivity was 90%.
Results were published in the European Heart Journal – Digital Health, and this is the first study in the world to confirm the possibility of early prediction of faints using commercial smartwatches.
For now, this is exactly a study, not a ready-made function in the watches. But the direction is clear: if you warn a person even a couple of minutes in advance, they will have time to sit down or lean on something. A simple thing that can save you from serious injury.
AI managed to give the scientist a full "recipe" for a bioterrorist act: a biosecurity specialist from Stanford said that one of the chatbots described step by step how to create and apply a deadly virus.
Moreover, the neural network did not limit itself to direct answers — it itself suggested ways to increase the number of victims, hinder the investigation, and make the pathogen resistant to drugs.
Creepy. Turn it off urgently.
Moreover, the neural network did not limit itself to direct answers — it itself suggested ways to increase the number of victims, hinder the investigation, and make the pathogen resistant to drugs.
Creepy. Turn it off urgently.
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Egg-shaped Mouse
NextAxis Design launched on Kickstarter with the Ovo device. Formally, it is a computer mouse, but it looks like a smooth egg that fits in the palm: 48 × 61 mm, weighing only 98 grams.
The main difference from a regular mouse is that Ovo does not need a surface. The device works in the air, reading hand orientation and movement in three-dimensional space. The cursor moves via tilts and rotations, not by sliding across a desk. The body is divided into two halves: the upper half handles clicks and cursor control, the lower half handles swipes and scrolling. Gestures, macros, and sensitivity are customizable for different work profiles.
The creators say that this shape reduces wrist strain and supports a more natural hand position. It is especially useful for those working with timelines in video editing or with 3D software — continuous rotation is more convenient than endlessly dragging a mouse across a pad.
It connects via Bluetooth or Wi-Fi, works with Windows, macOS, Linux, Android, and iOS without drivers. It is compatible with smart home systems. The battery lasts up to 80 hours, charges via USB-C or wireless charging.
The creators honestly warn: you will have to get used to Ovo, and for tasks requiring high precision, a regular mouse may be more convenient. But as an additional tool — it is an interesting thing.
Early bird price on Kickstarter — $110. Delivery is promised in December.
NextAxis Design launched on Kickstarter with the Ovo device. Formally, it is a computer mouse, but it looks like a smooth egg that fits in the palm: 48 × 61 mm, weighing only 98 grams.
The main difference from a regular mouse is that Ovo does not need a surface. The device works in the air, reading hand orientation and movement in three-dimensional space. The cursor moves via tilts and rotations, not by sliding across a desk. The body is divided into two halves: the upper half handles clicks and cursor control, the lower half handles swipes and scrolling. Gestures, macros, and sensitivity are customizable for different work profiles.
The creators say that this shape reduces wrist strain and supports a more natural hand position. It is especially useful for those working with timelines in video editing or with 3D software — continuous rotation is more convenient than endlessly dragging a mouse across a pad.
It connects via Bluetooth or Wi-Fi, works with Windows, macOS, Linux, Android, and iOS without drivers. It is compatible with smart home systems. The battery lasts up to 80 hours, charges via USB-C or wireless charging.
The creators honestly warn: you will have to get used to Ovo, and for tasks requiring high precision, a regular mouse may be more convenient. But as an additional tool — it is an interesting thing.
Early bird price on Kickstarter — $110. Delivery is promised in December.
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MIT assembled a robot from 12 Labubu heads
Researchers at the Massachusetts Institute of Technology took twelve Labubu figures, cut off their heads, and assembled them into a movable spherical dodecahedron. They named it Labububot.
The idea is this. Social robots are usually designed to be as cute and friendly as possible so as not to scare users. The entire industry carefully avoids the "uncanny valley" — the zone where a robot is almost human-like, but something is subtly off, causing anxiety instead of affection.
The team proposes the opposite approach. Drawing on monster theory — an interdisciplinary field studying monsters as a cultural phenomenon — they argue that a robot that causes mild discomfort can be more effective than a "cutie." A monster defies classification, and that is precisely why it grabs attention. Instead of soothing, it makes you think and engage more deeply.
For the particularly curious, the team published full instructions and files for building this monster yourself on GitHub.
Researchers at the Massachusetts Institute of Technology took twelve Labubu figures, cut off their heads, and assembled them into a movable spherical dodecahedron. They named it Labububot.
The idea is this. Social robots are usually designed to be as cute and friendly as possible so as not to scare users. The entire industry carefully avoids the "uncanny valley" — the zone where a robot is almost human-like, but something is subtly off, causing anxiety instead of affection.
The team proposes the opposite approach. Drawing on monster theory — an interdisciplinary field studying monsters as a cultural phenomenon — they argue that a robot that causes mild discomfort can be more effective than a "cutie." A monster defies classification, and that is precisely why it grabs attention. Instead of soothing, it makes you think and engage more deeply.
For the particularly curious, the team published full instructions and files for building this monster yourself on GitHub.
The new version of reCAPTCHA on Android now requires Google Play Services version 25.41.30 or higher. If the phone does not have them, verification automatically fails. For users of GrapheneOS and other custom ROMs without Google services, this means one thing: proving you are human has become impossible.
The mechanics have changed. Instead of old pictures with buses and traffic lights, the system now asks to scan a QR code. Scanning requires Play Services running in the background, which connect to Google servers. No services — no passing.
However, there is no such problem on iOS. Devices with iOS 16.4 and above pass the same verification without installing any Google applications. That is, iPhone users are not required to install Google software, while Android users who have consciously refused Play Services are required to do so.
Google introduced the updated system (Google Cloud Fraud Defense) at the Cloud Next conference on April 23, positioning it as a platform to combat bots and autonomous AI agents. However, the link to Play Services was not specifically discussed during the presentation.
reCAPTCHA stands before millions of websites. By tying verification to its services, Google sets a precedent: access to ordinary web content requires launching Google software and transmitting data to the company's servers.
The mechanics have changed. Instead of old pictures with buses and traffic lights, the system now asks to scan a QR code. Scanning requires Play Services running in the background, which connect to Google servers. No services — no passing.
However, there is no such problem on iOS. Devices with iOS 16.4 and above pass the same verification without installing any Google applications. That is, iPhone users are not required to install Google software, while Android users who have consciously refused Play Services are required to do so.
Google introduced the updated system (Google Cloud Fraud Defense) at the Cloud Next conference on April 23, positioning it as a platform to combat bots and autonomous AI agents. However, the link to Play Services was not specifically discussed during the presentation.
reCAPTCHA stands before millions of websites. By tying verification to its services, Google sets a precedent: access to ordinary web content requires launching Google software and transmitting data to the company's servers.
On Reddit was finded curious infographic appeared from user affordablebiscuit. He visualized revenue from physical music formats in the US from 1973 to 2025. We checked the numbers against official reports from the Recording Industry Association of America (RIAA) — they match.
Main news: in 2025 vinyl sales brought in $1.04 billion. The last time records earned that much was in 1983 — more than forty years ago. Growth has continued for 19 years in a row, and last year revenue jumped by 9.3%. 46.8 million copies were sold.
What about CDs? Compact disc sales fell by 11.6% — to $312 million and 29.5 million units. Now vinyl brings in 3.3 times more money than CDs. It overtook them in annual revenue around 2020 and has been widening the gap since.
Important nuance. All figures are shown without adjustment for inflation. Inflation over these years has eaten away a lot. $1.5 billion in the 80s in today's dollars — that's approximately $7.2–7.5 billion. So the current billion is roughly one-seventh of the real peak. A comeback, but in real terms vinyl is still far from its former glory.
Main news: in 2025 vinyl sales brought in $1.04 billion. The last time records earned that much was in 1983 — more than forty years ago. Growth has continued for 19 years in a row, and last year revenue jumped by 9.3%. 46.8 million copies were sold.
What about CDs? Compact disc sales fell by 11.6% — to $312 million and 29.5 million units. Now vinyl brings in 3.3 times more money than CDs. It overtook them in annual revenue around 2020 and has been widening the gap since.
Important nuance. All figures are shown without adjustment for inflation. Inflation over these years has eaten away a lot. $1.5 billion in the 80s in today's dollars — that's approximately $7.2–7.5 billion. So the current billion is roughly one-seventh of the real peak. A comeback, but in real terms vinyl is still far from its former glory.
Gemini has learned to think longer
Google continues to fine-tune its AI assistant, Gemini. Some users are already seeing a new "Thinking level" option, which allows the model to use deeper analysis.
This could mean that Gemini will handle complex tasks requiring multi-step reasoning better, providing more accurate and complete answers. It is currently unclear exactly how this feature works and what levels of thinking are available.
Additionally, the Gemini app has introduced integrations with third-party services, making it even more useful for solving everyday tasks. New features are expected to be presented at the I/O 2026 conference.
Google continues to fine-tune its AI assistant, Gemini. Some users are already seeing a new "Thinking level" option, which allows the model to use deeper analysis.
This could mean that Gemini will handle complex tasks requiring multi-step reasoning better, providing more accurate and complete answers. It is currently unclear exactly how this feature works and what levels of thinking are available.
Additionally, the Gemini app has introduced integrations with third-party services, making it even more useful for solving everyday tasks. New features are expected to be presented at the I/O 2026 conference.
Researchers from Tokushima University have smashed through a ceiling that engineers worldwide have been battling for years. Their experimental system transmitted wireless data at 112 gigabits per second at a frequency of 560 gigahertz.
What was the problem? For 6G to work, the signal must travel on terahertz waves. However, electronics at frequencies above 350 GHz start to choke—power drops, and so-called "phase noise" appears in the ether, turning the signal into mush.
Professor Takeshi Yasui's team solved the problem by replacing electronics with light.
The heart of the device is an optical frequency comb. It works like a high-precision ruler made of light: it generates strictly uniform, perfectly stable laser lines. It is precisely this stability that kills phase noise at the root. From the frequency combs, researchers extracted two purest optical signals and loaded them with QPSK modulation (yielding 84 Gbps) and 16QAM (the record-breaking 112 Gbps).
There was another catch—purely engineering. Getting a laser onto a microscopic chip means hours of torture with calibration: the table trembles slightly, and everything is ruined. The Japanese team glued the optical fiber dead tight directly to the silicon nitride resonator. They also built in a temperature control system so the chip would work stably during temperature fluctuations.
As a result, the bulky laboratory setup shrank into a compact device capable of withstanding real operating conditions.
Of course, you can't stuff this into a smartphone—and you don't need to. The technology is tuned for mobile backhaul—the arteries that connect cellular towers to internet backbones. Instead of digging up streets for optical fiber, operators will simply shoot terahertz beams between towers.
Next, the team wants to crush the remaining residual noise even harder and develop more powerful antennas—so that such speeds work over serious distances.
What was the problem? For 6G to work, the signal must travel on terahertz waves. However, electronics at frequencies above 350 GHz start to choke—power drops, and so-called "phase noise" appears in the ether, turning the signal into mush.
Professor Takeshi Yasui's team solved the problem by replacing electronics with light.
The heart of the device is an optical frequency comb. It works like a high-precision ruler made of light: it generates strictly uniform, perfectly stable laser lines. It is precisely this stability that kills phase noise at the root. From the frequency combs, researchers extracted two purest optical signals and loaded them with QPSK modulation (yielding 84 Gbps) and 16QAM (the record-breaking 112 Gbps).
There was another catch—purely engineering. Getting a laser onto a microscopic chip means hours of torture with calibration: the table trembles slightly, and everything is ruined. The Japanese team glued the optical fiber dead tight directly to the silicon nitride resonator. They also built in a temperature control system so the chip would work stably during temperature fluctuations.
As a result, the bulky laboratory setup shrank into a compact device capable of withstanding real operating conditions.
Of course, you can't stuff this into a smartphone—and you don't need to. The technology is tuned for mobile backhaul—the arteries that connect cellular towers to internet backbones. Instead of digging up streets for optical fiber, operators will simply shoot terahertz beams between towers.
Next, the team wants to crush the remaining residual noise even harder and develop more powerful antennas—so that such speeds work over serious distances.
AI solved a problem that mathematicians had struggled with for 80 years
For the first time in history, an OpenAI model independently solved a famous mathematical problem that had remained unsolved since 1946.
The problem was posed by the legendary Paul Erdős, one of the most prolific mathematicians of the 20th century. It sounds simple: take n points on a plane. How many pairs of them can be placed together so that the maximum number of pairs are at the same fixed distance? Erdős even offered a cash prize to anyone who could find the answer.
For almost 80 years, everyone believed the best solution was to arrange the points in a square grid. The consensus was that nothing better could be achieved.
The OpenAI model proved that something better is possible.
The AI found a way to arrange the points so that the number of pairs at unit distance is significantly greater than any grid configuration could provide. Moreover, it did not just find one specific example, but an entire infinite family of such arrangements.
The proof relies on tools from a completely different field—algebraic number theory. Experts had known these methods for a long time, but no one had ever thought to apply them to plane geometry. Essentially, the AI found a bridge between two distant areas of mathematics that humans had overlooked.
The problem was solved not by a specialized mathematical program, but by a general-purpose model. It was not specifically trained on this problem, nor was it given hints on where to look for the solution.
For the first time in history, an OpenAI model independently solved a famous mathematical problem that had remained unsolved since 1946.
The problem was posed by the legendary Paul Erdős, one of the most prolific mathematicians of the 20th century. It sounds simple: take n points on a plane. How many pairs of them can be placed together so that the maximum number of pairs are at the same fixed distance? Erdős even offered a cash prize to anyone who could find the answer.
For almost 80 years, everyone believed the best solution was to arrange the points in a square grid. The consensus was that nothing better could be achieved.
The OpenAI model proved that something better is possible.
The AI found a way to arrange the points so that the number of pairs at unit distance is significantly greater than any grid configuration could provide. Moreover, it did not just find one specific example, but an entire infinite family of such arrangements.
The proof relies on tools from a completely different field—algebraic number theory. Experts had known these methods for a long time, but no one had ever thought to apply them to plane geometry. Essentially, the AI found a bridge between two distant areas of mathematics that humans had overlooked.
The problem was solved not by a specialized mathematical program, but by a general-purpose model. It was not specifically trained on this problem, nor was it given hints on where to look for the solution.
Xiaomi are preparing to release a full-fledged AI assistant that rests on the ear.
· These are clips, and they stay in the ear canal;
· Stylish basalt-black color with the texture of a vinyl record;
· Weigh only 5.5 grams and are completely unnoticeable;
· Record conversations and provide brief summaries;
· Translate conversations in real-time with support for 21 languages;
· Support the owner emotionally;
· These are clips, and they stay in the ear canal;
· Stylish basalt-black color with the texture of a vinyl record;
· Weigh only 5.5 grams and are completely unnoticeable;
· Record conversations and provide brief summaries;
· Translate conversations in real-time with support for 21 languages;
· Support the owner emotionally;
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The neural network was launched on a 26-year-old computer without an internet connection, resulting in the model running on outdated hardware. The Qwen 3.6 modification with 9 billion parameters was deployed on a 1999 MacBook laptop. The outdated hardware did not become an obstacle to operation, and the system began answering questions almost instantly.
In conclusion, the author of the experiment calls on users to abandon cloud artificial intelligence, as neural networks function effectively locally even on outdated devices.
In conclusion, the author of the experiment calls on users to abandon cloud artificial intelligence, as neural networks function effectively locally even on outdated devices.
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Чел создал расширение для браузера, которое меняет всех моделей на маркетплейсах на НЕГО.
Теперь автор может сразу увидеть, как каждая вещь будет смотреться конкретно на нём.
Теперь автор может сразу увидеть, как каждая вещь будет смотреться конкретно на нём.
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ElevenLabs ОБНОВИЛИ генератор Music V2 — теперь модель звучит максимально реалистично.
Вот все фишки:
Сейчас 10 тысяч кредитов дают бесплатно (10 минут генерации).
Тестим здесь.
Вот все фишки:
- Сильно улучшили вокал, инструменты и аранжировки.
- Добавили возможность смены жанров внутри одного трека — хоть с классики в метал.
- Теперь можно переделать конкретный момент в треуе
- Можно грузить референсы, тексты песен и дополнительные промпты.
Сейчас 10 тысяч кредитов дают бесплатно (10 минут генерации).
Тестим здесь.
Google выпустила ПРОМПТ-ГАЙД для Gemini Omni — он состоит из пяти принципов.
Примеры промптов и результаты смотрим здесь.
1. Используйте реальные знания
Вам не нужно слишком подробно объяснять Gemini Omni окружающий мир. Модель обладает глубоким пониманием истории, науки и культуры, поэтому она надёжно создаёт реалистичные по внешнему виду, ощущениям и движению результаты. Пропускайте излишне детальные описания. Смело используйте в промпте культурные отсылки, исторические эпохи или научные термины напрямую.
2. Берите контроль над отображением текста
Gemini Omni обладает продвинутыми возможностями рендеринга текста и позволяет органично интегрировать текст в визуальный ряд. Вы можете указывать типографику, пространственное размещение, стили анимации и сложные визуальные эффекты (например, двойную экспозицию), идеально синхронизированные с действием в видео.
3. Управляйте камерой как профессионал
Думайте как кинооператор. Gemini Omni отлично реагирует на точные указания по видеографии, типам камер и кадрированию.
4. Редактируйте итеративно (и сохраняйте то, что работает)
Каждое великое видео создаётся на этапе монтажа. В Gemini Omni вам не нужно переписывать весь промпт с нуля, чтобы исправить одну ошибку. Просите конкретные, точечные изменения — например, сменить фон или заменить надпись. Omni сохранит основную структуру видео при множественных правках, позволяя вам корректировать только то, что нужно.
5. Меняйте действие на лету
Хотите изменить темп или эмоцию персонажа посреди сцены? Вы можете напрямую указать Gemini Omni изменить, как субъект движется или взаимодействует с окружением, без нарушения continuity модели персонажа.
Примеры промптов и результаты смотрим здесь.
HP дистанционно УНИЧТОЖАЕТ принтеры — писатель из Квебека пожаловался, что компания вывела из строя его старую технику.
Чел распечатывал книгу на своём пятилетнем OfficeJet 4650, как вдруг старичок заглох прямо во время печати. Парень увидел уведомление об обновлении и решил подождать.
Спустя несколько часов до него дошло, что обнова фактически сломала принтер. Девайс стал выдавать ошибки подключения к серверу и отказывался корректно переподключаться.
Мужчина много раз звонил в службу поддержки, но разговоры прерывались, а ему на почту приходили письма о том, что «вопрос решён». В конце концов ему предложили просто купить новую модель:
На форумах подтвердили, что это не единичный случай. Один юзер потерял свой принтер таким же образом, сдался и пошёл распечатать документы в библиотеку.
Чел распечатывал книгу на своём пятилетнем OfficeJet 4650, как вдруг старичок заглох прямо во время печати. Парень увидел уведомление об обновлении и решил подождать.
Спустя несколько часов до него дошло, что обнова фактически сломала принтер. Девайс стал выдавать ошибки подключения к серверу и отказывался корректно переподключаться.
Мужчина много раз звонил в службу поддержки, но разговоры прерывались, а ему на почту приходили письма о том, что «вопрос решён». В конце концов ему предложили просто купить новую модель:
«Агент подтвердил, что принтер старый и, вероятно, исчерпал свой ресурс. Клиенту сообщили, что, в случае сохранения проблемы может потребоваться замена принтера на более современный».
На форумах подтвердили, что это не единичный случай. Один юзер потерял свой принтер таким же образом, сдался и пошёл распечатать документы в библиотеку.