The Los Angeles Angels outfielder has a torn meniscus in his left knee and will undergo surgery, general manager Perry Minasian announced Tuesday. Minasian didn&#x27;t announce a timetable for Trout&#x27;s recovery, but it is not believed to be a season-ending injury and the team expects to have Trout ...

Angels star Mike Trout to have surgery for torn meniscus, will be out indefinitely

Trout, a three-time AL MVP and 11-time All-Star, suffered a torn meniscus in his left knee in Monday’s 6-5 win over the Phillies and will undergo surgery in the coming days, general manager Perry Minasian announced. It’s not expected to be a season-ending operation, but no immediate timetable ...

Trout to have knee surgery, expected to return in '24

New York Knicks forward Bojan Bogdanovic will miss the rest of the season due to left foot surgery, the team announced.

Knicks' Bojan Bogdanovic done for season after foot surgery - ESPN

The three-time AL MVP, who hasn’t played in 140-plus games since 2016, will undergo surgery on a torn meniscus.

Angels star Mike Trout needs surgery to repair torn meniscus, GM says | Fox News

ANAHEIM, Calif. (AP) — Los Angeles Angels star Mike Trout will have surgery to repair a torn meniscus in his left knee, sidelining the three-time AL MVP indefinitely.

Former MVP Mike Trout needs surgery on torn meniscus. The Angels hope he can return this season | The Hill

The Los Angeles Angels star has a torn meniscus in his knee that will require surgery, according to The Athletic&#x27;s Sam Blum. It&#x27;s unclear how much time Trout needs to miss, but the injury is reportedly not expected to be season-ending.

Mike Trout to reportedly undergo knee surgery, which isn't ...

The veteran forward will miss the remainder of the 2024 playoffs due to a foot injury that requires surgery.

Knicks' Bojan Bogdanovic to undergo season-ending foot surgery | NBA.com

Tears are running down my cheeks—from frustration, more than pain at this stage, though there’s been plenty of that, too—as I finally sit down to write. Three weeks ago, I suffered a catastrophic back injury and was rushed into emergency surgery, narrowly avoiding permanent paralysis.

Kenny Schachter Emerges From Surgery With Dirt on Damien Hirst, Ed Sheeran, and a Lot More | Artnet News

The surgery will leave Finch with only three days of recovery before Game 1 in Denver, and this type of procedure typically requires the leg to be immobilized for more time than that. He’ll need crutches for awhile, too. The cramped space on an NBA sideline makes it difficult to envision ...

Timberwolves coach Chris Finch to have surgery on knee after sideline collision, AP source says | MPR News

Minnesota Timberwolves coach Chris Finch will undergo surgery to repair a right patellar tendon Wednesday, and it remains unclear whether he&#x27;ll be able to open the franchise&#x27;s Western Conference semifinal series against the Denver Nuggets on the bench, sources told ESPN.

Sources: Wolves' Chris Finch to have surgery after collision - ESPN

Surge.ly

surgely

Is it strange to think a robot could operate on you one day? Although the healthcare industry is famous for being a late adopter of the latest technology, it’s quickly picked up robotics. The tech advances as professionals explore it, meaning there are plenty of use cases for machine-assisted remote surgeries. Can robotic surgery be done remotely? The short answer is yes — surgeons can use robots to operate on patients even if they’re not in the same place. Remote surgery — also known as telesurgery — uses wireless networking technology and live imaging to connect them to the operating room, regardless of location. Nearly 40% of people believe these machines can perform surgeries — and they’re right. You’re living in a world where tech has advanced to the point where you don’t have to be in the same room as a doctor to receive care. What technology is used in robotic surgery? While the specific tech surgery robots use depends on the type of operation, most share the same basic features. Many use fifth-generation (5G) wireless networking to establish connections. Operators need a console — an interactive interface — to do anything remotely. Most machines have at least one articulated arm to grasp, cut, or guide the operation. They also use a high-definition, 360-degree camera, and live imaging tech to feed visual information to the operator — how else would surgeons perform remote surgery? Some of the latest versions use haptic feedback tech, enabling them to mimic the operators’ movements on the console. Others use artificial intelligence. Considering a convolution neural network model can identify brain tumors with 97.4% accuracy, it’s a good tool. Examples of robots performing medical operations You might be surprised to find out dozens of surgery robots already exist. The da Vinci robot The da Vinci robot got its name because its creators consider the term “robotic-assisted surgery” misleading, saying people perform operations, not the machines. In this context, the callback to Leonardo da Vinci — the famous artist, engineer and sculptor — makes sense. This machine has performed millions of anastomoses — connecting two parts of a blood vessel — while recording data on how surgeons use their instruments to complete their tasks. This way, it can tell them which techniques and wrist positions improve patient outcomes the most. The spacefaring robot Engineers from the University of Nebraska-Lincoln (UNL) did what nobody ever has — they sent a surgical robot to the International Space Station. Weighing only two pounds, it’s 1,000 times lighter than any other telerobotic system. Surgeons on Earth will use the robot’s camera and two articulated arms to perform simulated surgery in space. As impressive as this sounds, there’s no telling how it’ll go. Even though the launch was in January 2024, UNL won’t publish results until 2025 at the earliest. The augmented reality robot In 2020, two doctors performed a lifesaving surgery on a person with cancer. It doesn’t sound out of the ordinary until you learn they never touched him — and were thousands of miles apart. The patient was immunocompromised, so telesurgery was the only safe option during COVID. One surgeon stood six feet from the patient, using the machine’s four articulated arms to insert a camera tube into the problem area. Meanwhile, the other sat in their living room in a pajama robe, using an augmented reality pointer to guide the step-by-step operation. The joystick robot Massachusetts Institute of Technology (MIT) engineers developed a telerobotic system for treating victims of strokes. The operator uses a modified joystick and a live video feed to control an articulated arm, adjusting it with magnets to guide a soft, thin magnetic wire through arteries and vessels to remove blood clots that cause strokes. The goal is to treat patients during a brief window of opportunity where treatment can preserve brain function and save lives. The advantages of robotic medical operations Plenty of people live in healthcare deserts — areas where there aren’t enough medical resources, staff, or facilities to go around. Statistically, you’re probably one of them. In the U.S., over 80% of counties are considered healthcare deserts, forcing residents to deal with long waits and high costs. Robotic-assisted surgery could eliminate this problem by bringing medical professionals wherever they’re needed. For example, a neurovascular surgeon could remotely treat a stroke victim in Atlanta from their office in Chicago. There’s no longer a need for travel, either. If you’ve ever visited a specialist, you probably drove out of your way to see them. Some people with chronic illnesses even move to improve their access to care. Now that telesurgery exists, you may just have to visit your local hospital. Another massive benefit involves patient outcomes — these machines are literally saving lives. They reduce hand tremors, enable early intervention, and are highly precise, lowering the risk of infection, blood loss, and complications. Past robotic-assisted surgeries prove medical professionals can provide care without experiencing software glitches or connection delays, meaning this tech is just as safe as being operated on by a robot-less human. Ways robotics can be used for remote surgery There are three main ways you could use robots for remote surgeries. Articulated robots Articulated robots are among the most common in the medical field because they can do most things human hands can — they can insert tubes, make incisions, or administer medication. Operators can use them to carry out tasks remotely, lending their expertise to operations they otherwise would’ve never been a part of. 2. Autonomous robots Although the healthcare industry is wary of adopting fully autonomous robotics, professionals and researchers are testing the tech. The idea is that a human will remotely oversee the operation while the machine carries out its tasks. Collaborative robots Medical professionals often call on their colleagues or well-known individuals in their field for help — even doctors can’t be experts on everything. In these situations, they usually want guidance on where to make incisions or how to perform complex operations. Using collaborative robotics, their assistant can help them regardless of their location. Will robots replace surgeons in the future? It’s highly unlikely these machines will replace surgeons in the future. Although autonomous versions exist, you can probably agree most people won’t be comfortable being operated on by a machine without some level of human involvement. For now, these inventions are purely assistants. Sources: Kaspersky’s The Future of Jobs report Deep Learning for Tumor Classification Intuitive’s Robotic-Assisted Surgery Technology The Smithsonian’s Report on the ISS Robot Wired Report on Robotic-Assisted Surgery MIT’s Report on the Joystick Robot The GoodRX Report on Healthcare Deserts Telesurgey and Robotics: An Improve and Efficient Era Is it strange to think a robot could operate on you one day? Although the healthcare industry is famous for being a late adopter of the latest technology, it’s quickly picked up robotics. The tech advances as professionals explore it, meaning there are plenty of use cases for machine-assisted remote surgeries. Can robotic surgery be done remotely? Can robotic surgery be done remotely? The short answer is yes — surgeons can use robots to operate on patients even if they’re not in the same place. Remote surgery — also known as telesurgery — uses wireless networking technology and live imaging to connect them to the operating room, regardless of location. Nearly 40% of people believe these machines can perform surgeries — and they’re right. You’re living in a world where tech has advanced to the point where you don’t have to be in the same room as a doctor to receive care. Nearly 40% of people Nearly 40% of people What technology is used in robotic surgery? What technology is used in robotic surgery? While the specific tech surgery robots use depends on the type of operation, most share the same basic features. Many use fifth-generation (5G) wireless networking to establish connections. Operators need a console — an interactive interface — to do anything remotely. Most machines have at least one articulated arm to grasp, cut, or guide the operation. They also use a high-definition, 360-degree camera, and live imaging tech to feed visual information to the operator — how else would surgeons perform remote surgery? Some of the latest versions use haptic feedback tech, enabling them to mimic the operators’ movements on the console. Others use artificial intelligence. Considering a convolution neural network model can identify brain tumors with 97.4% accuracy , it’s a good tool. identify brain tumors with 97.4% accuracy identify brain tumors with 97.4% accuracy Examples of robots performing medical operations Examples of robots performing medical operations You might be surprised to find out dozens of surgery robots already exist. The da Vinci robot The da Vinci robot The da Vinci robot got its name because its creators consider the term “robotic-assisted surgery” misleading, saying people perform operations, not the machines. In this context, the callback to Leonardo da Vinci — the famous artist, engineer and sculptor — makes sense. This machine has performed millions of anastomoses — connecting two parts of a blood vessel — while recording data on how surgeons use their instruments to complete their tasks. This way, it can tell them which techniques and wrist positions improve patient outcomes the most. has performed millions of anastomoses has performed millions of anastomoses The spacefaring robot The spacefaring robot Engineers from the University of Nebraska-Lincoln (UNL) did what nobody ever has — they sent a surgical robot to the International Space Station. Weighing only two pounds, it’s 1,000 times lighter than any other telerobotic system. it’s 1,000 times lighter it’s 1,000 times lighter Surgeons on Earth will use the robot’s camera and two articulated arms to perform simulated surgery in space. As impressive as this sounds, there’s no telling how it’ll go. Even though the launch was in January 2024, UNL won’t publish results until 2025 at the earliest. The augmented reality robot The augmented reality robot In 2020, two doctors performed a lifesaving surgery on a person with cancer. It doesn’t sound out of the ordinary until you learn they never touched him — and were thousands of miles apart. The patient was immunocompromised, so telesurgery was the only safe option during COVID. performed a lifesaving surgery performed a lifesaving surgery One surgeon stood six feet from the patient, using the machine’s four articulated arms to insert a camera tube into the problem area. Meanwhile, the other sat in their living room in a pajama robe, using an augmented reality pointer to guide the step-by-step operation. The joystick robot The joystick robot Massachusetts Institute of Technology (MIT) engineers developed a telerobotic system for treating victims of strokes. The operator uses a modified joystick and a live video feed to control an articulated arm, adjusting it with magnets to guide a soft, thin magnetic wire through arteries and vessels to remove blood clots that cause strokes. The goal is to treat patients during a brief window of opportunity where treatment can preserve brain function and save lives. uses a modified joystick uses a modified joystick The advantages of robotic medical operations The advantages of robotic medical operations Plenty of people live in healthcare deserts — areas where there aren’t enough medical resources, staff, or facilities to go around. Statistically, you’re probably one of them. In the U.S., over 80% of counties are considered healthcare deserts, forcing residents to deal with long waits and high costs. over 80% of counties over 80% of counties Robotic-assisted surgery could eliminate this problem by bringing medical professionals wherever they’re needed. For example, a neurovascular surgeon could remotely treat a stroke victim in Atlanta from their office in Chicago. There’s no longer a need for travel, either. If you’ve ever visited a specialist, you probably drove out of your way to see them. Some people with chronic illnesses even move to improve their access to care. Now that telesurgery exists, you may just have to visit your local hospital. Another massive benefit involves patient outcomes — these machines are literally saving lives. They reduce hand tremors, enable early intervention, and are highly precise, lowering the risk of infection, blood loss, and complications. Past robotic-assisted surgeries prove medical professionals can provide care without experiencing software glitches or connection delays, meaning this tech is just as safe as being operated on by a robot-less human. without experiencing software glitches without experiencing software glitches Ways robotics can be used for remote surgery Ways robotics can be used for remote surgery There are three main ways you could use robots for remote surgeries. Articulated robots Articulated robots Articulated robots Articulated robots are among the most common in the medical field because they can do most things human hands can — they can insert tubes, make incisions, or administer medication. Operators can use them to carry out tasks remotely, lending their expertise to operations they otherwise would’ve never been a part of. 2. Autonomous robots 2. Autonomous robots Although the healthcare industry is wary of adopting fully autonomous robotics, professionals and researchers are testing the tech. The idea is that a human will remotely oversee the operation while the machine carries out its tasks. Collaborative robots Collaborative robots Collaborative robots Medical professionals often call on their colleagues or well-known individuals in their field for help — even doctors can’t be experts on everything. In these situations, they usually want guidance on where to make incisions or how to perform complex operations. Using collaborative robotics, their assistant can help them regardless of their location. Will robots replace surgeons in the future? Will robots replace surgeons in the future? It’s highly unlikely these machines will replace surgeons in the future. Although autonomous versions exist, you can probably agree most people won’t be comfortable being operated on by a machine without some level of human involvement. For now, these inventions are purely assistants. Sources: Kaspersky’s The Future of Jobs report Kaspersky’s The Future of Jobs report Kaspersky’s The Future of Jobs report Deep Learning for Tumor Classification Deep Learning for Tumor Classification Deep Learning for Tumor Classification Intuitive’s Robotic-Assisted Surgery Technology Intuitive’s Robotic-Assisted Surgery Technology Intuitive’s Robotic-Assisted Surgery Technology The Smithsonian’s Report on the ISS Robot The Smithsonian’s Report on the ISS Robot The Smithsonian’s Report on the ISS Robot Wired Report on Robotic-Assisted Surgery Wired Report on Robotic-Assisted Surgery Wired Report on Robotic-Assisted Surgery MIT’s Report on the Joystick Robot MIT’s Report on the Joystick Robot MIT’s Report on the Joystick Robot The GoodRX Report on Healthcare Deserts The GoodRX Report on Healthcare Deserts The GoodRX Report on Healthcare Deserts Telesurgey and Robotics: An Improve and Efficient Era Telesurgey and Robotics: An Improve and Efficient Era Telesurgey and Robotics: An Improve and Efficient Era

How Can Robotics Be Implemented for Remote Surgery?

Some disorder had surely crept into the course of the elements

The $30,000 Bequest, and Other Stories by Mark Twain, is part of the HackerNoon Books Series. You can jump to any chapter in this book . Chapter III here Chapter III “Choose again.” It was the fairy speaking. “The years have taught you wisdom—surely it must be so. Three gifts remain. Only one of them has any worth—remember it, and choose warily.” The man reflected long, then chose Fame; and the fairy, sighing, went her way. Years went by and she came again, and stood behind the man where he sat solitary in the fading day, thinking. And she knew his thought: “My name filled the world, and its praises were on every tongue, and it seemed well with me for a little while. How little a while it was! Then came envy; then detraction; then calumny; then hate; then persecution. Then derision, which is the beginning of the end. And last of all came pity, which is the funeral of fame. Oh, the bitterness and misery of renown! target for mud in its prime, for contempt and compassion in its decay.” About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Mark Twain (2004). The $30,000 Bequest, and Other Stories. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/142/pg142-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

The years have taught you wisdom—surely it must be so

The lead image for this article was generated by HackerNoon's via the prompt "robot plastic surgery" AI Image Generator Thanks to the constant development of , robots are getting smarter before our eyes. From simple machines that can only do a strict set of programmed actions, they are turning into colleagues who know how to work alongside real people. As a result, they are becoming more widespread in such critical industries as healthcare: the global market for medical robots has from over $11 billion in 2022 to more than $13 billion in 2023 and is expected to reach nearly $26.5 billion as early as 2027, with a compound annual growth rate of almost 19%. artificial intelligence grown The development of computer vision, motion sensors, high-definition surgical microscopic cameras, remote navigation, analytics, and other solutions also contribute to this growth. Apart from technological advances, several other factors influence the market: an and, consequently, the growing demand for various types of medical services, as well as per capita. aging population increasing healthcare spending Let's dig into three different industry use cases where AI and robotics are helping organizations cope with a labor shortage, meet regulatory needs, and achieve new technological advances. Enabling nursing and rehab through robotic inclusion The lack of healthcare workers was a severe problem even before the pandemic. The global market was of 5.9 million nurses, with another 4 million expected to retire in the next ten years. COVID-19 exacerbated the situation and led to massive nurse burnout. This accelerated the exodus of people from the profession and increased the staff shortage to 13 million. short Robotics can help the industry combat this problem and make life easier for nurses. The global market for robotic nursing assistants was at $1 billion in 2022 and is expected to grow at a CAGR of nearly 15% from 2023 to 2030. According to a WHO report, demand is driven, among other things, by an aging population that needs more care: one in six people will be 60 or older by 2030. estimated And from 2020 to 2050, the number of older people will double to 4.1 billion. Robots based on AI technology are already helping nurses successfully with many daily tasks: for instance, recording patients' medical conditions and delivering food and medicine. They are equipped with voice and motion recognition, cameras, and microphones that collect data about a person. They then pass it on to artificial intelligence algorithms for processing, which allows robots to recognize not only physical injuries (for example, if a patient has fallen out of bed), but even non-verbal signs of depression and anxiety. Some robots have a semblance of emotional intelligence and can work as companions. They use AI to read emotions and social cues, making them better at interacting with humans. As a result, they can deliver news to people, remind patients of appointments, and keep them in touch with family. An of a robotic nurse's assistant is Aeo, a humanoid robot with two arms that can, for example, disinfect surfaces, open doors, and carry things. Aeo's vision and artificial intelligence allow it to determine if patients need medical help. example I also want to make special mention of rehabilitation AI robots, indispensable for patients with impaired motor functions. They help people re-learn the necessary skills and accompany them daily. Rehabilitation robots can monitor a patient's physical abilities and strength using sensors, collect key biological indicators during a session, and transmit them to artificial intelligence algorithms for analysis. This allows the system to adjust to a person's rhythm and, as a result, recover faster. In recent news in this area, the first robotic rehabilitation clinic in Australia to help patients undergoing physical and neurological therapy. Thanks to artificial intelligence, the machines develop interactive games for people after a stroke and patients with spinal cord injury, multiple sclerosis, and CVID. Robots gently move patients' fingers, hands, and arms when they cannot do so on their own and help retrain the brain and gradually regain independent movement. opened Reducing pain and recovery time with AI-assisted robotic surgery Surgery is another area where artificial intelligence can make doctors' jobs a lot easier. The surgical robotics industry has to $3 billion in the past eight years. It will continue to grow in the next decade. Bain has recently found out that more than three-quarters of surgeons in the U.S. are interested in surgical robotics. quadrupled AI-assisted surgery is usually associated with minimally invasive procedures that allow minimal patient damage through small incisions. This leads to fewer complications, less pain and blood loss, quicker recovery, and, eventually, less noticeable scars. Leading health institutions, including Mayo Clinic, already robotic-assisted interventions. Though AI surgery is expensive, the benefits the costs and improve health providers’ bottom line as patients don't have to stay in hospitals for long. perform outweigh Thanks to AI, surgeons can focus on complex aspects of surgery. They control a robotic system, which usually consists of a manipulator with a camera and mechanical arms with attached surgical instruments, at a computer near the operating table. Doctors obtain a detailed visualization of microscopic structures through HD cameras. AI and computer vision ensure the speed and accuracy of the procedure, for example, distinguishing tissue types so the doctor does not nick nerves and muscles. Some highly intelligent AI robots can even perform tasks autonomously, with surgeons monitoring them from the console. AI can also help with preoperative planning. At this stage, specialists plan a surgical intervention based on the patient's medical records and images. Algorithms analyze them together with historical methods and millions of datasets from similar surgeries to identify critical insights and best practices. AI is then used to create a plan according to specific criteria, evaluate what is happening and adjust the strategy in real-time in case of unforeseen events. Surgical robots are evolving all over the world today. For instance, in February 2022, a doctor in Belgium Europe's first prostatectomy using the Hugo robotic surgical system. And the UAE recently that it would execute more procedures with intelligent robots in various surgical specialties. Many hospitals in the UAE are already equipped with the DaVinci XI robot, which allows surgeons to have better angles and visibility. performed announced Maintaining privacy and compliance in aesthetic and beauty sectors The wellness and beauty industry could also benefit from introducing robots controlled by AI, especially considering the current recruitment on the market. Smart robots can take over routine operations, staying compliant with law requirements, to reduce the burden on human specialists and free their time for customers in line. crisis Robots greatly simplify hair transplants, which are in high demand today. ISHRS that about 703 thousand of such procedures were performed in 2021. For a transplant, a specialist must extract thousands of hair follicles from the donor site and move them to the required place. This is a lengthy and repetitive process. Modern clinics implement AI robots for these purposes. For example, the American ARTAS uses several AI algorithms to select and take the most robust and prolific follicles automatically. With the help of the ARTAS robot, it is possible to up to 6,000 follicles in one day. With manual extraction, this figure is usually at most 3,000-3,500. estimates extract Another service at the interface between medicine and beauty that AI robotics could change is massage. The pandemic hit the industry hard: in 2020, at least temporarily, 4 out of 5 massage therapists providing their services. Many did not return to work later because they had time to change careers. Meanwhile, educational institutions cannot meet the market demand for massage therapists. stopped As someone familiar with the spa industry, I believe the shortage of specialists in this field is concerning. With more than 70% of salons and hotels struggling to fill vacancies, as shown in the latest ISPA IS survey, it is evident that there is a significant demand for skilled individuals, particularly massage therapists. The inability to find qualified practitioners could potentially impact the quality of services provided to customers. Robots based on AI could offer high procedure accuracy, eliminate human errors, and reduce the cost of a massage by up to 40%. They can work together with humans and provide services to those clients who cannot wait to see a real specialist or do not like the touch of strangers. There are already several AI-robotic massage solutions on the global market. Robosculptor, for example, has a modular design with a couch, a control screen, an automatic drive, and a high-speed 3D scanner. The system scans the patient's body position with a high-resolution 3D camera in 10 seconds, creates a 3D model of the patient, and builds an automatically adaptable map of the trajectories the massage session will follow. In this case, AI improves more accurate 3D body recognition based on the experience of scanning multiple persons. A common concern, as always with robots, is patient safety. In robotic massage, it can be guaranteed, for example, by limiting the maximum load on the body, joysticks to regulate the pressure level within certain limits, and alarm buttons for the client and the operator. Future of AI Robotics in Healthcare and Beauty According to forecasts, robotics in medicine and beauty will continue to develop rapidly. The market for AI in robotics will even faster, with CAGR exceeding 27% over the next 5 years. Thanks to AI, robots could revolutionize the segment and take on more and more functions. I firmly believe it has the potential to automate and improve a wide range of processes, from direct patient care to mass drug production. In surgery, intelligent robots will be able to perform some procedures completely autonomously, such as suturing. AI-transplantation technology could be adapted to Botox or filler injections. To do this, AI has to learn how to perform these procedures in a way that doesn't mess up a person's face. grow So far, the biggest obstacle to the development of AI in is the cost of the technology, which does not pay for itself immediately, as well as a certain distrust of it by vendors and patients. Building trust can be the key to innovation. Hospitals and other institutions need to explore and communicate to the market the benefits that smart robots can bring to both patients and healthcare providers. It will also be necessary for clinics and salons to establish a close connection between vendors and their staff to teach the latter how to handle AI properly. robotics

From Massage to Surgery: How Robotics and AI Are Changing Medicine And Beauty 

Del masaje a la cirugía: cómo la robótica y la IA están cambiando la medicina y la belleza

Du massage à la chirurgie : comment la robotique et l'IA changent la médecine et la beauté

मसाज से लेकर सर्जरी तक: कैसे रोबोटिक्स और एआई चिकित्सा और सौंदर्य को बदल रहे हैं

マッサージから手術まで: ロボット工学と AI が医療と美容をどのように変えるか

Da massagem à cirurgia: como a robótica e a IA estão mudando a medicina e a beleza

Từ mát-xa đến phẫu thuật: Người máy và trí tuệ nhân tạo đang thay đổi y học và sắc đẹp như thế nào

从按摩到手术：机器人技术和人工智能如何改变医学和美容

On August 5th, Odysee announced that advertisements had been completely removed from the largest web3 video-sharing platform. The decentralized video-sharing platform boldly claims they “don’t need ads to make money as a platform.” Odysee confidently claims to have developed monetization programs that will “help creators earn a living and at the same time keep Odysee alive”. No further details were shared about these “monetization programs”, but one could reason that Odysee’s recent transition onto the Arweave blockchain has opened up other revenue streams and allowed for the platform to cut off advertisers. “As we take this decision, one thing is certain to us, media platforms (even ones that market themselves as ‘free-speech’) typically devolve into advertising companies and end up becoming beholden to their paymasters. It’s been that way for centuries and is never going to change. As we see YouTube become more aggressive with their ad deployment and ‘Free Speech’ platforms try to build their own ad businesses it’s apparent to us that we’re building a model for Odysee that will keep it sustainable not only financially, but in its ability to provide an incorruptible user experience. Our approach may be considered niche or unconventional, that’s fine by us. Odysee will be used by the world on terms that are agreeable to its users, and we know our users don’t like ads.” Julian Chandra, Founder and CEO of Odysee In the world of video-sharing platforms, there is no bigger fish than YouTube. There are not many platforms that can even call themselves a rival to YouTube, but Odysee is surely one of them. Back in October of last year, YouTube made a surprising decision to crack down on ad-blockers. Now, we see YouTube double down even further on its hunt for ad-blockers, as the video-sharing giant is reportedly “experimenting with server-side ad injection.” Essentially, this means that YouTube is injecting the advertisement directly into the video stream; which could prevent ad-blockers from working on the platform. As we see YouTube ramp up advertisement efforts, Odysee has gone in the complete opposite direction by removing all ads. It will be interesting to see if this move will distinguish Odysee from YouTube enough for users to consider making a switch. If you are interested in checking out Odysee, why not use my invite link to join: https://odysee.com/$/invite/@ZeroRequiem:7 Do you think this decision to cut ads will bring in new users to the platform? What would actually make you consider using Odysee over YouTube? What are your thoughts on this news? Join the conversation below! Read My Latest Posts: From Collapse to Comeback: Odysee Journeys to the Arweave Blockchain
Ferrari Drives into Europe: Now Accepting Bitcoin and Crypto Payments
Founder of BitClout and DeSo Charged with Defrauding Investors in $250 Million Scandal On August 5th, Odysee announced that advertisements had been completely removed from the largest web3 video-sharing platform. announced The decentralized video-sharing platform boldly claims they “don’t need ads to make money as a platform.” Odysee confidently claims to have developed monetization programs that will “help creators earn a living and at the same time keep Odysee alive”. No further details were shared about these “monetization programs”, but one could reason that Odysee’s recent transition onto the Arweave blockchain has opened up other revenue streams and allowed for the platform to cut off advertisers. “As we take this decision, one thing is certain to us, media platforms (even ones that market themselves as ‘free-speech’) typically devolve into advertising companies and end up becoming beholden to their paymasters. It’s been that way for centuries and is never going to change. “As we take this decision, one thing is certain to us, media platforms (even ones that market themselves as ‘free-speech’) typically devolve into advertising companies and end up becoming beholden to their paymasters. It’s been that way for centuries and is never going to change. As we see YouTube become more aggressive with their ad deployment and ‘Free Speech’ platforms try to build their own ad businesses it’s apparent to us that we’re building a model for Odysee that will keep it sustainable not only financially, but in its ability to provide an incorruptible user experience. As we see YouTube become more aggressive with their ad deployment and ‘Free Speech’ platforms try to build their own ad businesses it’s apparent to us that we’re building a model for Odysee that will keep it sustainable not only financially, but in its ability to provide an incorruptible user experience. Our approach may be considered niche or unconventional, that’s fine by us. Odysee will be used by the world on terms that are agreeable to its users, and we know our users don’t like ads.” Our approach may be considered niche or unconventional, that’s fine by us. Odysee will be used by the world on terms that are agreeable to its users, and we know our users don’t like ads.” Julian Chandra, Founder and CEO of Odysee Julian Chandra, Founder and CEO of Odysee Julian Chandra , Founder and CEO of Odysee Julian Chandra In the world of video-sharing platforms, there is no bigger fish than YouTube. There are not many platforms that can even call themselves a rival to YouTube, but Odysee is surely one of them. Back in October of last year, YouTube made a surprising decision to crack down on ad-blockers . crack down on ad-blockers Now, we see YouTube double down even further on its hunt for ad-blockers, as the video-sharing giant is reportedly “experimenting with server-side ad injection.” reportedly Essentially, this means that YouTube is injecting the advertisement directly into the video stream; which could prevent ad-blockers from working on the platform. As we see YouTube ramp up advertisement efforts, Odysee has gone in the complete opposite direction by removing all ads. It will be interesting to see if this move will distinguish Odysee from YouTube enough for users to consider making a switch. If you are interested in checking out Odysee, why not use my invite link to join: https://odysee.com/$/invite/@ZeroRequiem:7 https://odysee.com/$/invite/@ZeroRequiem:7 Do you think this decision to cut ads will bring in new users to the platform? Do you think this decision to cut ads will bring in new users to the platform? Do you think this decision to cut ads will bring in new users to the platform? What would actually make you consider using Odysee over YouTube? What would actually make you consider using Odysee over YouTube? What would actually make you consider using Odysee over YouTube? What are your thoughts on this news? Join the conversation below! What are your thoughts on this news? Join the conversation below! What are your thoughts on this news? Join the conversation below! Read My Latest Posts: From Collapse to Comeback: Odysee Journeys to the Arweave Blockchain Ferrari Drives into Europe: Now Accepting Bitcoin and Crypto Payments Founder of BitClout and DeSo Charged with Defrauding Investors in $250 Million Scandal From Collapse to Comeback: Odysee Journeys to the Arweave Blockchain From Collapse to Comeback: Odysee Journeys to the Arweave Blockchain Ferrari Drives into Europe: Now Accepting Bitcoin and Crypto Payments Ferrari Drives into Europe: Now Accepting Bitcoin and Crypto Payments Founder of BitClout and DeSo Charged with Defrauding Investors in $250 Million Scandal Founder of BitClout and DeSo Charged with Defrauding Investors in $250 Million Scandal

Odysee Goes Ad-Free: How This Bold Move Challenges the YouTube Empire

Introduction (this felt like hacking but it isn't) Going through past Instagram posts to get a short term ego boost that will dissipate in a matter of seconds I was going through my old Instagram posts trying to find how many people liked my posts. I even went through the ones in the archive (I had like 20 archived posts gathering dust). I needed an ego boost (who doesn’t like a good ego boost? If you don't, you're probably lying). And then, after a boring 5 minute period where I had a stream of random thoughts going through my head, I was like … why not graph the data of my instagram post trends? (all for the ego boost of course) There were a few benefits to this: Using intense mental gymnastics, and systematically ignoring all the possible disadvantages, I could spend much more time looking at my old likes and comments without guilt of wasting time, or seeming egocentric. Instead of like going through Instagram, I would be “analysing data visualisations”, which sounds much more productive.


I would list out all the possible disadvantages but as I said in the previous point I ignored it. Those possible disadvantages were ignored just like friction is ignored in physics problems 💀  .


Improving problem solving and creativity (this one is a no 🧠 brainer)


I can actually produce a *neat* graph -- I am highly messy drawing mathematical graphs (shaky hand and terrible coordination are my worst enemies. Getting started (not procrastinating and scrolling reels) You log onto instagram.com. The default login page asks for your username and password. You blindly give it to them to access the content that will eventually give you brainrot. The first post on the page is the source of brainrot: some random person singing slang. Your friend, at the same time also blindly gives his password and username to instagram.com. But the first post on the page was a fresh out of the oven cooking video, emanating the intense heat vibes to their eyes. Unbelievable How come he gets to see delicious food while I have to hear people chanting 'sigma' over and over again? (this actually happened) It's the same website but the content is different. The website is a dynamic website which changes content every time you reload. (imagine scrolling through mindlessly until you click the reload button. The relatable meme you were about to send to your best friend is now gone forever.) Step 1: Data doesn’t just appear on the page, it comes from somewhere How does the browser know what to display? Surely all the brainrot Instagram reels cannot be all stored in one file? Well the website needs a little help in displaying the data so it has to fetch the data from another source. Think of a dog fetching a bone from another place, to complete the full picture of a happy dog wagging its tail with a bone in its mouth. Good little doggy. Step 2: Well where does the data come from then? Snooping around the page won't get you anywhere. You have to go deeper. Here's a magic trick: go right click and inspect elements. Now you can see al the code that makes it work. A giant chunk of messy HTML blows up in your face. Not cool. How can you find all the data now? Well the interesting part is the network tab. Shows all the network requests being sent and the data being transferred. Think of it as a busy metro station with the trains as data requests, transferring goods (data) from station A (instagram servers) to station B (your browser). And then after looking through all the hard to read scripts in there, all the boring HTML, I found this interesting section Fetch/XHR: The source of the data river (probably) All external data is sent to and from servers here. By looking through the requests you can find lots of interesting stuff the website gets from servers, or what it sends. Most of the time though it looks like gibberish. Step 3: Scrolling through Instagram (productively) In order to find where the server gets the data, I had to scroll through a lot of network requests :). Forget scrolling through memes and reels, lets scroll through network requests!!!! Eventually after *hours* (or what felt like hours) of searching I found this: The chosen one. A list full of all the data on posts, including the link count, and the comment count, in convenient JSON format. Step 3: I got the data, now what Now we need to figure out how we can get the data by performing a similar request programatically. Introducing: Postman - not the one on the motorcycle (as if we see them anymore) but the application online that makes metaphorical data deliveries to your virtual mailbox. Step 4: Roleplay as instagram.com Time to pretend to be like a drama student with the roleplay. This sends a request to instagram just like how the browser sends a request for data. I had to match exactly how the request is made in the network tab; including copying what seems like the most trivial of metadata (that was a very painstaking process), into the Postman parameters in order to get the same data, my way. At this point, I could go on and on about how I got here, my thought process and everything that I have tried. But I know you didn't order a yappachino so moving on .💬 Step 5: Python Copy the python version of the postman request and boom -- you've got yourself a script that fetches instagram data :) Unfortunately the request body payload might contain sensitive data that may or may not be impacting my own account so I cannot share it here. All this script does is continually make a network request to grab Instagram data, passing different parameters (on which page/posts to search) and request body data to collect all the data about the posts. This is necessary because Instagram only grabs the data for around 12 posts at a time, this means that if someone has, say 24 posts I would have to send a request 2 times. It parses the JSON data and adds the number of likes into a list, and the number of comments into another list. Step 6: Non messy graphing It's graphing time. Set x values as post numbers, y values as likes and comments respectively and boom → Step 7: Graph done WOOHOO And there we have it. A shiny graph full of data, collected fresh right out of Instagram. It’s a perfect flex to use on friends and a nice way to look at Instagram productively. (We’re “analysing data visualisations” here people, not “scrolling reels”.) Hopefully this was not a bunch of waffle, and if I was yapping too much let me know so I can submit an application to become the waffle house's new host :) Introduction (this felt like hacking but it isn't) (this felt like hacking but it isn't) Going through past Instagram posts to get a short term ego boost that will dissipate in a matter of seconds I was going through my old Instagram posts trying to find how many people liked my posts. I even went through the ones in the archive (I had like 20 archived posts gathering dust). I needed an ego boost (who doesn’t like a good ego boost? If you don't, you're probably lying). And then, after a boring 5 minute period where I had a stream of random thoughts going through my head, I was like … why not graph the data of my instagram post trends? (all for the ego boost of course) There were a few benefits to this: Using intense mental gymnastics, and systematically ignoring all the possible disadvantages, I could spend much more time looking at my old likes and comments without guilt of wasting time, or seeming egocentric. Instead of like going through Instagram, I would be “analysing data visualisations”, which sounds much more productive. I would list out all the possible disadvantages but as I said in the previous point I ignored it. Those possible disadvantages were ignored just like friction is ignored in physics problems 💀  . Improving problem solving and creativity (this one is a no 🧠 brainer) I can actually produce a *neat* graph -- I am highly messy drawing mathematical graphs (shaky hand and terrible coordination are my worst enemies. Using intense mental gymnastics, and systematically ignoring all the possible disadvantages, I could spend much more time looking at my old likes and comments without guilt of wasting time, or seeming egocentric. Instead of like going through Instagram, I would be “analysing data visualisations”, which sounds much more productive. Using intense mental gymnastics, and systematically ignoring all the possible disadvantages, I could spend much more time looking at my old likes and comments without guilt of wasting time, or seeming egocentric. Instead of like going through Instagram, I would be “analysing data visualisations”, which sounds much more productive. I would list out all the possible disadvantages but as I said in the previous point I ignored it. Those possible disadvantages were ignored just like friction is ignored in physics problems 💀  . I would list out all the possible disadvantages but as I said in the previous point I ignored it. Those possible disadvantages were ignored just like friction is ignored in physics problems 💀  . Improving problem solving and creativity (this one is a no 🧠 brainer) Improving problem solving and creativity (this one is a no 🧠 brainer) I can actually produce a *neat* graph -- I am highly messy drawing mathematical graphs (shaky hand and terrible coordination are my worst enemies. I can actually produce a *neat* graph -- I am highly messy drawing mathematical graphs (shaky hand and terrible coordination are my worst enemies. Getting started (not procrastinating and scrolling reels) You log onto instagram.com. The default login page asks for your username and password. You blindly give it to them to access the content that will eventually give you brainrot. The first post on the page is the source of brainrot: some random person singing slang. Your friend, at the same time also blindly gives his password and username to instagram.com. But the first post on the page was a fresh out of the oven cooking video, emanating the intense heat vibes to their eyes. Unbelievable How come he gets to see delicious food while I have to hear people chanting 'sigma' over and over again? (this actually happened) It's the same website but the content is different. The website is a dynamic website which changes content every time you reload. (imagine scrolling through mindlessly until you click the reload button. The relatable meme you were about to send to your best friend is now gone forever.) Step 1: Data doesn’t just appear on the page, it comes from somewhere How does the browser know what to display? Surely all the brainrot Instagram reels cannot be all stored in one file? Well the website needs a little help in displaying the data so it has to fetch the data from another source. Think of a dog fetching a bone from another place, to complete the full picture of a happy dog wagging its tail with a bone in its mouth. Good little doggy. Step 2: Well where does the data come from then? Snooping around the page won't get you anywhere. You have to go deeper. Here's a magic trick: go right click and inspect elements. Now you can see al the code that makes it work. A giant chunk of messy HTML blows up in your face. Not cool. How can you find all the data now? Well the interesting part is the network tab. Shows all the network requests being sent and the data being transferred. Think of it as a busy metro station with the trains as data requests, transferring goods (data) from station A (instagram servers) to station B (your browser). And then after looking through all the hard to read scripts in there, all the boring HTML, I found this interesting section Fetch/XHR: The source of the data river (probably) All external data is sent to and from servers here. By looking through the requests you can find lots of interesting stuff the website gets from servers, or what it sends. Most of the time though it looks like gibberish. Step 3: Scrolling through Instagram (productively) In order to find where the server gets the data, I had to scroll through a lot of network requests :). Forget scrolling through memes and reels, lets scroll through network requests!!!! lot Eventually after *hours* (or what felt like hours) of searching I found this: The chosen one. A list full of all the data on posts, including the link count, and the comment count, in convenient JSON format. Step 3: I got the data, now what Now we need to figure out how we can get the data by performing a similar request programatically. Introducing: Postman - not the one on the motorcycle (as if we see them anymore) but the application online that makes metaphorical data deliveries to your virtual mailbox. Step 4: Roleplay as instagram.com Time to pretend to be like a drama student with the roleplay. This sends a request to instagram just like how the browser sends a request for data. I had to match exactly how the request is made in the network tab; including copying what seems like the most trivial of metadata (that was a very painstaking process), into the Postman parameters in order to get the same data, my way. At this point, I could go on and on about how I got here, my thought process and everything that I have tried. But I know you didn't order a yappachino so moving on .💬 Step 5: Python Copy the python version of the postman request and boom -- you've got yourself a script that fetches instagram data :) Unfortunately the request body payload might contain sensitive data that may or may not be impacting my own account so I cannot share it here. All this script does is continually make a network request to grab Instagram data, passing different parameters (on which page/posts to search) and request body data to collect all the data about the posts. This is necessary because Instagram only grabs the data for around 12 posts at a time, this means that if someone has, say 24 posts I would have to send a request 2 times. It parses the JSON data and adds the number of likes into a list, and the number of comments into another list. Step 6: Non messy graphing It's graphing time. Set x values as post numbers, y values as likes and comments respectively and boom → Step 7: Graph done WOOHOO And there we have it. A shiny graph full of data, collected fresh right out of Instagram. It’s a perfect flex to use on friends and a nice way to look at Instagram productively. (We’re “analysing data visualisations” here people, not “scrolling reels”.) Hopefully this was not a bunch of waffle, and if I was yapping too much let me know so I can submit an application to become the waffle house's new host :)

Graphing Likes and Comments on Instagram Posts to See the Trends Visually

Zuzalu is Dead. Long Live Zuzalu! - Metamorphosis Commenced v3

Zuzalu is dood. Lank lewe Zuzalu! - Metamorfose begin v3

Зузалу мёртвы. Жыве Зузалу! - Метамарфоза пачалася v3

Ο Ζουζαλού είναι νεκρός. Ζήτω ο Ζουζαλού! - Metamorphosis Commenced v3

Zuzalu ha muerto. ¡Viva Zuzalu! - Metamorfosis comenzada v3

Zuzalu Hil da. Bizi Zuzalu! - Metamorfosia hasita v3

زوزالو مرده است زنده باد زوزالو - Metamorphosis Commenced v3

Zuzalu è morto. Lunga vita a Zuzalu! - Metamorfosi iniziata v3

ズザルは死んだ。ズザル万歳！ - 変身開始 v3

Zuzalu ແມ່ນຕາຍ. ອາຍຸຍືນ Zuzalu! - Metamorphosis ເລີ່ມ v3

Zuzalu yra miręs. Tegyvuoja Zuzalu! - Metamorfozė prasidėjo v3

Zuzalu a murit. Trăiască Zuzalu! - Metamorfoza a început v3

Zuzalu Öldü. Yaşasın Zuzalu! - Metamorfoz Başladı v3

If you check popular benchmarks used for measuring LLM performance, then you probably feel like AI is oh sooo clever. This is a fair surface-level impression; however, is AI truly better than an average human for cognitive tasks? Frontier models like o1 from OpenAI and Claude 3.5 Sonnet from Anthropic do perform better than expert humans in a number of fields, including law, coding, and math. Why, then, can’t ChatGPT solve some simple spatial reasoning tasks or some silly trick questions? Well, we are still talking about “large language models"—they take in a ton of letters and try to predict what letters to spit out for a given query. Notice, that nowhere in this equation the actual “thinking” is mentioned. The models are stochastic parrots of a sort, as they try to retrieve the right information from their training dataset instead of actually considering your question. At least, this was the case until OpenAI released o1-preview, but more on this later. Among those who started questioning the existing LLM benchmarks for relevance is the author of “AI Explained” a popular YouTube channel of which I’m a big fan. Phillip (the YouTuber’s name) noticed that the industry standard benchmarks have a clear style of questions that are also mostly publicly available. This means that not only can those exact questions be part of the training dataset, but due to standardization, it is easier for models to spot & apply patterns from the overall training data. Put simply, AI researchers who create groundbreaking complex tech can surely find a way to give their model the relevant questions and answers to “remember” before benchmarking. Looking at the results of the top model out there, o1 from OpenAI, one can imply that it scores above average in a lot of professional domains. And this is true, but this result relies on the availability of relevant training data and past examples from those specific fields. Don’t get me wrong, the models are now amazing at giving textbook answers to textbook questions, and this in itself is insanely impressive. The term “artificial intelligence," though, implies a bit more than just information retrieval; there should be some actual thinking involved. So a logical follow-up to all of the impressive numbers above is whether such “AI” can answer a tricky reasoning question. Does it have any spatial intelligence? Or can it navigate well in common social scenarios? The answer is - sometimes. Unlike field-specific questions with predefined answers, problems that humans solve on a daily basis often require understanding the context beyond natural language (which is the only thing LLMs have). Above are the top scorers on the SIMPLE benchmark, which gives LLMs questions that an average person would deem trivial but the models can’t necessarily answer yet. We are used to seeing AI doing so much better than an average human in exams or specialized benchmarks, but here, the top model performance is actually just 41.7% (o1-preview) vs. 83.7% of an average human. This benchmark uses 200 multiple-choice text questions focused on spatio-temporal reasoning, social intelligence, and trick questions. The most important feature of the benchmark is that those questions are not publicly available, so AI labs cannot just add them to their training data. You can learn more about this benchmark here. This new approach to measuring LLM performance shows just how far all the models still are from an average human reasoning capability. The quicker this gap closes in the coming months, the more definitive the answer “yes” to our headline becomes. An interesting new metric to look out for if you are enthusiastic but cautious about AI. If you check popular benchmarks used for measuring LLM performance, then you probably feel like AI is oh sooo clever. This is a fair surface-level impression; however, is AI truly better than an average human for cognitive tasks? Frontier models like o1 from OpenAI and Claude 3.5 Sonnet from Anthropic do perform better than expert humans in a number of fields, including law, coding, and math. Why, then, can’t ChatGPT solve some simple spatial reasoning tasks or some silly trick questions? Well, we are still talking about “large language models"—they take in a ton of letters and try to predict what letters to spit out for a given query. Notice, that nowhere in this equation the actual “thinking” is mentioned. The models are stochastic parrots of a sort, as they try to retrieve the right information from their training dataset instead of actually considering your question. At least, this was the case until OpenAI released o1-preview, but more on this later. stochastic parrots Among those who started questioning the existing LLM benchmarks for relevance is the author of “AI Explained” a popular YouTube channel of which I’m a big fan. Phillip (the YouTuber’s name) noticed that the industry standard benchmarks have a clear style of questions that are also mostly publicly available. This means that not only can those exact questions be part of the training dataset, but due to standardization, it is easier for models to spot & apply patterns from the overall training data. Put simply, AI researchers who create groundbreaking complex tech can surely find a way to give their model the relevant questions and answers to “remember” before benchmarking. Looking at the results of the top model out there, o1 from OpenAI, one can imply that it scores above average in a lot of professional domains. And this is true, but this result relies on the availability of relevant training data and past examples from those specific fields. Don’t get me wrong, the models are now amazing at giving textbook answers to textbook questions, and this in itself is insanely impressive. The term “artificial intelligence," though, implies a bit more than just information retrieval; there should be some actual thinking involved. So a logical follow-up to all of the impressive numbers above is whether such “AI” can answer a tricky reasoning question. Does it have any spatial intelligence? Or can it navigate well in common social scenarios? The answer is - sometimes. Unlike field-specific questions with predefined answers, problems that humans solve on a daily basis often require understanding the context beyond natural language (which is the only thing LLMs have). Above are the top scorers on the SIMPLE benchmark, which gives LLMs questions that an average person would deem trivial but the models can’t necessarily answer yet. We are used to seeing AI doing so much better than an average human in exams or specialized benchmarks, but here, the top model performance is actually just 41.7% (o1-preview) vs. 83.7% of an average human. This benchmark uses 200 multiple-choice text questions focused on spatio-temporal reasoning, social intelligence, and trick questions. The most important feature of the benchmark is that those questions are not publicly available, so AI labs cannot just add them to their training data. You can learn more about this benchmark here . here This new approach to measuring LLM performance shows just how far all the models still are from an average human reasoning capability. The quicker this gap closes in the coming months, the more definitive the answer “yes” to our headline becomes. An interesting new metric to look out for if you are enthusiastic but cautious about AI.

AI vs Human - Is the Machine Already Superior? 

الذكاء الاصطناعي مقابل الإنسان - هل الآلة متفوقة بالفعل؟

KI vs Mensch – Ist die Maschine schon überlegen?

IA vs. humanos: ¿la máquina ya es superior?

AI protiv čovjeka - je li stroj već superioran? 

Intelligenza artificiale contro uomo: la macchina è già superiore?

AI vs 人間 - 機械はすでに優れているのか?

AI prieš žmogų – ar mašina jau pranašesnė? 

Sztuczna inteligencja kontra człowiek – czy maszyna jest już lepsza?

AI بمقابله انسان - ایا ماشین دمخه غوره دی؟ 

AI vs Aadanaha - Mashiinku mar hore ma ka sarreeyaa? 

AI vs மனித - இயந்திரம் ஏற்கனவே உயர்ந்ததா? 

AI กับ มนุษย์ - เครื่องจักรเหนือกว่าแล้วจริงหรือ?

The "Smart Person" Trap and How to Avoid It

La trampa de la “persona inteligente” y cómo evitarla

"Pertsona adimenduna" tranpa eta nola saihestu

מלכודת "האדם החכם" וכיצד להימנע ממנה

«Խելացի մարդու» ծուղակը և ինչպես խուսափել դրանից

「賢い人」の罠とその回避方法

«Ақылды адам» тұзағы және одан қалай құтылуға болады

Стапица „паметна личност“ и како да ја избегнете

Sefero sa "Motho yo bohlale" le Kamoo o ka se Phemago

Ловушка «умного человека» и как ее избежать

Kurthi i "Personit të zgjuar" dhe si ta shmangni atë

กับดักของ “คนฉลาด” และวิธีหลีกเลี่ยง

"سمارٹ پرسن" کا جال اور اس سے کیسے بچنا ہے۔

Building Vertical SaaS in an Old School Industry: What NOT to Do

Mä Nayra Yatiqañ Utan Industrian SaaS Vertical luraña: Kuns JANIW lurañakiti

একটি পুরানো স্কুল শিল্পে উল্লম্ব SaaS নির্মাণ: কি করা উচিত নয়

Cómo crear SaaS vertical en una industria tradicional: qué NO hacer

Izgradnja vertikalnog SaaS-a u industriji stare škole: Što NE činiti

Vertikális SaaS építése egy régi iskolai iparágban: mit NE tegyünk

旧来の業界で垂直型 SaaS を構築する: やってはいけないこと

ການກໍ່ສ້າງ SaaS ແນວຕັ້ງຢູ່ໃນອຸດສາຫະກໍາໂຮງຮຽນເກົ່າ: ສິ່ງທີ່ບໍ່ຄວນເຮັດ

Vertikāla SaaS izveide vecās skolas nozarē: ko NEDRĪKST darīt

पुरानो विद्यालय उद्योगमा ठाडो SaaS निर्माण गर्दै: के नगर्ने

Kujenga SaaS Wima katika Sekta ya Shule ya Zamani: Nini Usifanye

Köne mekdep pudagynda dik SaaS gurmak: Näme etmeli däl

پرانی اسکول کی صنعت میں عمودی ساس بنانا: کیا نہیں کرنا ہے۔

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