Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

China's self driving robotic traffic cones can secure accident sites within 10 seconds! All controlled remotely & much quicker than doing by hand.

HOW THINGS WORK

2,394,550 subscribers

90,712 Aufrufe • vor 10 Tagen •via X (Twitter)

Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

浙江高速的三角锥是会跑的：可以远程操作，10秒封闭事故道路。The triangular traffic cones on Zhejiang Expressway are "movable": they can be remotely controlled to block accident-affected roads in 10 seconds.

浙江高速的三角锥是会跑的：可以远程操作，10秒封闭事故道路。The triangular traffic cones on Zhejiang Expressway are "movable": they can be remotely controlled to block accident-affected roads in 10 seconds.

雁过留声

21,674 Aufrufe • vor 11 Monaten

🚌 Futuristic travel is arriving as driverless electric buses have hit the road in Jinan, east China's Shandong Province! Locals can use a mobile app to book rides on a self-driving bus, which is charged by a robotic arm. (Source: Xinhua)

🚌 Futuristic travel is arriving as driverless electric buses have hit the road in Jinan, east China's Shandong Province! Locals can use a mobile app to book rides on a self-driving bus, which is charged by a robotic arm. (Source: Xinhua)

China-Caribbean Development Center

2,470,917 Aufrufe • vor 8 Monaten

I will be fined 600k for doing 40 at a 30kph zoned dual carriage & yet his boda guy, who is more at greater risk of an accident, will pass by all cameras, all traffic Uganda Police Force while breaking over 5 laws but get away with nothing other than a smirk from authorities.

I will be fined 600k for doing 40 at a 30kph zoned dual carriage & yet his boda guy, who is more at greater risk of an accident, will pass by all cameras, all traffic Uganda Police Force while breaking over 5 laws but get away with nothing other than a smirk from authorities.

Buni, The Investorpreneur

48,802 Aufrufe • vor 1 Jahr

Can you name this band from their one hit wonder of 1977, in less than 10 seconds? This hit went all the way to No. 1 on the Billboard Hot 100 in 1977. Written by the band themselves.

Can you name this band from their one hit wonder of 1977, in less than 10 seconds? This hit went all the way to No. 1 on the Billboard Hot 100 in 1977. Written by the band themselves.

🇺🇸Hot Pepper

73,676 Aufrufe • vor 8 Monaten

TWICE's goals 10 years from now on their 20th anniversary Jihyo: "Honestly, I've already accomplished so much professionally, so more than anything, I want the members to be healthy. I hope we can all happily keep doing this together. I think that's my goal." TWICE FOREVER 🥹

TWICE's goals 10 years from now on their 20th anniversary Jihyo: "Honestly, I've already accomplished so much professionally, so more than anything, I want the members to be healthy. I hope we can all happily keep doing this together. I think that's my goal." TWICE FOREVER 🥹

minaron

120,500 Aufrufe • vor 1 Jahr

According to Israeli officials, more than 10 aircraft with the Israeli Air Force participated in today’s strike against the Qatari capital of Doha, utilizing over 10 munitions which all hit a building where Hamas leaders were believed to have been gathered within seconds. Prior to and following the strike, several aerial-refuelings were carried out by Boeing 707s with the “Desert Giants” of the 120th Squadron.

According to Israeli officials, more than 10 aircraft with the Israeli Air Force participated in today’s strike against the Qatari capital of Doha, utilizing over 10 munitions which all hit a building where Hamas leaders were believed to have been gathered within seconds. Prior to and following the strike, several aerial-refuelings were carried out by Boeing 707s with the “Desert Giants” of the 120th Squadron.

OSINTdefender

358,196 Aufrufe • vor 11 Monaten

🇨🇳 CHINA RELEASES VIDEO OF HYPERSONIC SHIP-KILLER LAUNCHING FROM DESTROYER - U.S. CARRIERS JUST GOT A TARGETING PROBLEM THEY CAN'T SOLVE China's navy just published footage of a Type 055 destroyer launching a YJ-20 hypersonic anti-ship missile. Mach 6+ speeds. 1,000+ km range. Designed specifically to kill aircraft carriers. The footage itself is the weapon. China's not showing this for domestic propaganda. They're telling the U.S. Navy: "Your carriers can't operate in the Pacific anymore without accepting catastrophic risk." Here's the math that just changed: U.S. carrier strike group costs: ~$50 billion (carrier + escorts + aircraft) YJ-20 missile cost: ~$10 million Number of missiles needed to mission-kill a carrier: Unknown, but probably less than 20 The economics are brutal. China can build 5,000 hypersonic missiles for the price of one U.S. carrier. Even with 90% interception rates (currently impossible), they just need to saturate defenses. Hypersonic missiles at Mach 6 travel 2 km per second. The 1,000 km range means 8 minutes flight time from launch to impact. Current U.S. ship defense systems are built for subsonic and supersonic threats. Hypersonics compress decision time to seconds. The destroyer platform is what makes this devastating. China's building Type 055s in volume - eight operational, more under construction. Each can carry multiple YJ-20s. That's mobile hypersonic capability deployed across the entire Pacific. U.S. carriers project power by getting close enough to launch aircraft. But if carriers can't survive within 1,000 km of Chinese coast, they can't project power into Taiwan Strait, South China Sea, or anywhere China's destroyer fleet can reach. Pentagon's been warning about this for years. Now China's demonstrating it works and they're mass-producing the platforms. The carrier era might be ending the same way battleships ended - too expensive, too vulnerable, replaced by cheaper weapons that can kill them from beyond their effective range. China's releasing this footage right as tensions over Taiwan escalate. The message: come within range, find out what happens. Source: Open Source Intel

🇨🇳 CHINA RELEASES VIDEO OF HYPERSONIC SHIP-KILLER LAUNCHING FROM DESTROYER - U.S. CARRIERS JUST GOT A TARGETING PROBLEM THEY CAN'T SOLVE China's navy just published footage of a Type 055 destroyer launching a YJ-20 hypersonic anti-ship missile. Mach 6+ speeds. 1,000+ km range. Designed specifically to kill aircraft carriers. The footage itself is the weapon. China's not showing this for domestic propaganda. They're telling the U.S. Navy: "Your carriers can't operate in the Pacific anymore without accepting catastrophic risk." Here's the math that just changed: U.S. carrier strike group costs: ~$50 billion (carrier + escorts + aircraft) YJ-20 missile cost: ~$10 million Number of missiles needed to mission-kill a carrier: Unknown, but probably less than 20 The economics are brutal. China can build 5,000 hypersonic missiles for the price of one U.S. carrier. Even with 90% interception rates (currently impossible), they just need to saturate defenses. Hypersonic missiles at Mach 6 travel 2 km per second. The 1,000 km range means 8 minutes flight time from launch to impact. Current U.S. ship defense systems are built for subsonic and supersonic threats. Hypersonics compress decision time to seconds. The destroyer platform is what makes this devastating. China's building Type 055s in volume - eight operational, more under construction. Each can carry multiple YJ-20s. That's mobile hypersonic capability deployed across the entire Pacific. U.S. carriers project power by getting close enough to launch aircraft. But if carriers can't survive within 1,000 km of Chinese coast, they can't project power into Taiwan Strait, South China Sea, or anywhere China's destroyer fleet can reach. Pentagon's been warning about this for years. Now China's demonstrating it works and they're mass-producing the platforms. The carrier era might be ending the same way battleships ended - too expensive, too vulnerable, replaced by cheaper weapons that can kill them from beyond their effective range. China's releasing this footage right as tensions over Taiwan escalate. The message: come within range, find out what happens. Source: Open Source Intel

Mario Nawfal

121,304 Aufrufe • vor 7 Monaten

Today's heavy rain around 3:00 PM exposed a serious civic issue. The drainage grate on the Veerannapalya Flyover (Nagawara to Hebbal road) became completely blocked with garbage, causing severe waterlogging. Within minutes, the flyover was flooded, forcing traffic to come to a standstill and resulting in a 3–4 km traffic jam. I was at home when I noticed the heavy congestion on Google Maps. I immediately put on my raincoat and rushed to the location. By the time I arrived, Sector Cobra personnel had also reached the spot. Together, we cleared the garbage blocking the drainage grate. Within 15 minutes, the water drained away and traffic resumed smoothly. What surprised me the most was that more than 100 people were standing there watching, yet no one stepped forward to remove the debris. If just a few people had taken the initiative, thousands of commuters could have been spared from unnecessary delays. Even more concerning is the negligence of the agencies responsible for maintaining stormwater drains. Because of poor maintenance, the burden often falls on Traffic Police, Traffic Wardens, volunteers, and responsible citizens to solve problems that should have been prevented in the first place. Let's not be citizens who only complain. Whenever it is safe to do so, let's become part of the solution. Sometimes, a small act of responsibility can save thousands of people from inconvenience. A responsible city is built by responsible citizens. Let's all do our part. HENNURU TRAFFIC PS Hebbal Traffic Police Station DCP Traffic North, Bengaluru ACP Traffic Northeast ಬೆಂಗಳೂರು ಸಂಚಾರ ಪೊಲೀಸ್ BengaluruTrafficPolice Joint CP, Traffic, Bengaluru Karnataka Portfolio ThirdEye

Today's heavy rain around 3:00 PM exposed a serious civic issue. The drainage grate on the Veerannapalya Flyover (Nagawara to Hebbal road) became completely blocked with garbage, causing severe waterlogging. Within minutes, the flyover was flooded, forcing traffic to come to a standstill and resulting in a 3–4 km traffic jam. I was at home when I noticed the heavy congestion on Google Maps. I immediately put on my raincoat and rushed to the location. By the time I arrived, Sector Cobra personnel had also reached the spot. Together, we cleared the garbage blocking the drainage grate. Within 15 minutes, the water drained away and traffic resumed smoothly. What surprised me the most was that more than 100 people were standing there watching, yet no one stepped forward to remove the debris. If just a few people had taken the initiative, thousands of commuters could have been spared from unnecessary delays. Even more concerning is the negligence of the agencies responsible for maintaining stormwater drains. Because of poor maintenance, the burden often falls on Traffic Police, Traffic Wardens, volunteers, and responsible citizens to solve problems that should have been prevented in the first place. Let's not be citizens who only complain. Whenever it is safe to do so, let's become part of the solution. Sometimes, a small act of responsibility can save thousands of people from inconvenience. A responsible city is built by responsible citizens. Let's all do our part. HENNURU TRAFFIC PS Hebbal Traffic Police Station DCP Traffic North, Bengaluru ACP Traffic Northeast ಬೆಂಗಳೂರು ಸಂಚಾರ ಪೊಲೀಸ್ BengaluruTrafficPolice Joint CP, Traffic, Bengaluru Karnataka Portfolio ThirdEye

Shree ram Bishnoi

25,899 Aufrufe • vor 23 Tagen

Another example of Tesla Self driving better than humans. I’m following this Legacy SUV in my Cybertruck on FSD 14.2.2.1 and we feel the brakes and are like what’s going on. Then see a deer ahead in front of SUV run past road. Deer makes it across but what is funny but not funny the SUV doesn’t even tap brakes. Don’t even look liked they slowed down. You can see us slowing down behind SUV after deer crosses. This is all done by FSD. I did nothing. People often ask me if I trust FSD. I always say yes. More than humans for sure. This is one more example of seeing road conditions before humans. Bravo Tesla

Another example of Tesla Self driving better than humans. I’m following this Legacy SUV in my Cybertruck on FSD 14.2.2.1 and we feel the brakes and are like what’s going on. Then see a deer ahead in front of SUV run past road. Deer makes it across but what is funny but not funny the SUV doesn’t even tap brakes. Don’t even look liked they slowed down. You can see us slowing down behind SUV after deer crosses. This is all done by FSD. I did nothing. People often ask me if I trust FSD. I always say yes. More than humans for sure. This is one more example of seeing road conditions before humans. Bravo Tesla

Scott Dembraski

36,838 Aufrufe • vor 7 Monaten

.Elon Musk says that "the right metric for intelligence is the ability to predict the future." Elon says that if your predictions are not very good, you're not that smart. During his interview with CNBC, Elon confirmed that there would be fully autonomous Teslas on the streets of Austin by the end of June. I predicted that Tesla would not have non-geofenced, unsupervised Full Self-Driving Teslas in Austin by July 1. Today is July 1, and Elon's predictions were completely wrong. By his own definition of intelligence, he is not that smart. I have always been better at predicting things about Tesla Full Self-Driving than Elon Musk is. That's why No Safe Words crowned me the "world's leading autonomous vehicle safety expert". As I predicted, Tesla's "Robotaxi" is geofenced to a small area in Austin. It is not autonomous, and is supervised both remotely and from the passenger seat. The only passengers it has carried so far are Tesla Cultists and shareholders. Tesla has not launched a real robotaxi service like the one Waymo operates. The 11 supervised robotaxis it has deployed made at least 17 safety critical and driving errors in just the first week of operation. Elon predicted in October 2024 that Tesla would have a 30% growth in sales in 2025. Tesla's sales fell 13% in Q1 2025 and tomorrow's delivery numbers are expected to be similarly terrible. I predict that Tesla's sales growth in 2025 will be less than 30%. Elon also predicted every year for the past 11 years that Tesla would solve autonomous driving by the end of the year. His predictions have been wrong every single year for over a decade. I predict that Tesla will not solve autonomous driving this year. Elon says "you're as intelligent as you can predict the future well". He is terrible at predicting the future, so according to "the right metric for intelligence", he is not that smart. Elon also predicted that Tesla would have a "thousand" robotaxis "within a few months" during his CNBC interview. I predict that by October 1, Tesla will not have 1,000 robotaxis offering unsupervised rides to ordinary customers.

.Elon Musk says that "the right metric for intelligence is the ability to predict the future." Elon says that if your predictions are not very good, you're not that smart. During his interview with CNBC, Elon confirmed that there would be fully autonomous Teslas on the streets of Austin by the end of June. I predicted that Tesla would not have non-geofenced, unsupervised Full Self-Driving Teslas in Austin by July 1. Today is July 1, and Elon's predictions were completely wrong. By his own definition of intelligence, he is not that smart. I have always been better at predicting things about Tesla Full Self-Driving than Elon Musk is. That's why No Safe Words crowned me the "world's leading autonomous vehicle safety expert". As I predicted, Tesla's "Robotaxi" is geofenced to a small area in Austin. It is not autonomous, and is supervised both remotely and from the passenger seat. The only passengers it has carried so far are Tesla Cultists and shareholders. Tesla has not launched a real robotaxi service like the one Waymo operates. The 11 supervised robotaxis it has deployed made at least 17 safety critical and driving errors in just the first week of operation. Elon predicted in October 2024 that Tesla would have a 30% growth in sales in 2025. Tesla's sales fell 13% in Q1 2025 and tomorrow's delivery numbers are expected to be similarly terrible. I predict that Tesla's sales growth in 2025 will be less than 30%. Elon also predicted every year for the past 11 years that Tesla would solve autonomous driving by the end of the year. His predictions have been wrong every single year for over a decade. I predict that Tesla will not solve autonomous driving this year. Elon says "you're as intelligent as you can predict the future well". He is terrible at predicting the future, so according to "the right metric for intelligence", he is not that smart. Elon also predicted that Tesla would have a "thousand" robotaxis "within a few months" during his CNBC interview. I predict that by October 1, Tesla will not have 1,000 robotaxis offering unsupervised rides to ordinary customers.

Dan O'Dowd

128,935 Aufrufe • vor 1 Jahr

I’d strongly urge the automobile industry to make dashcams a standard safety feature in all vehicles. Too often, we see hit-and-run cases where the culprits flee without accountability. A dashcam isn’t just a gadget it’s a necessity for our own safety, protection, and proof in such situations. Chandigarh was much better back when challans were issued manually people actually feared breaking the rules. But now, most of the reckless driving you see is by outsiders. You’ll rarely find a CH-number car in such incidents; it’s usually PB, HR, or DL plates. Just imagine how many lives can be put at risk in mere seconds because of such behaviour. No offence, but vehicles like the Verna, Creta, and Thar often end up in the same bracket when it comes to rash driving

I’d strongly urge the automobile industry to make dashcams a standard safety feature in all vehicles. Too often, we see hit-and-run cases where the culprits flee without accountability. A dashcam isn’t just a gadget it’s a necessity for our own safety, protection, and proof in such situations. Chandigarh was much better back when challans were issued manually people actually feared breaking the rules. But now, most of the reckless driving you see is by outsiders. You’ll rarely find a CH-number car in such incidents; it’s usually PB, HR, or DL plates. Just imagine how many lives can be put at risk in mere seconds because of such behaviour. No offence, but vehicles like the Verna, Creta, and Thar often end up in the same bracket when it comes to rash driving

Rattan Dhillon

680,674 Aufrufe • vor 1 Jahr

Are you safer with LIDAR, or are you safer with vision? This is a false dichotomy. The more pertinent question today is "do you have something, or do you have nothing?" As you can see from the clips below, vision based systems avoid countless potential collisions every day. The difference between a crash and no crash isn't what sensor suite you chose — it's whether you have any AI on your car at all. Even if we concede that LIDAR may help prevent some additional crashes, we are really debating whether it is 1% of crashes or 0.00001% of crashes. Not all crashes are super complex and require lasers to detect. Most are simple, routine, and can easily be prevented by today's vision based AI. In fact, evidence is mounting that computer vision based systems can actually outperform more traditional approaches to self-driving. Why? Because the low cost of cameras enables you to create a much larger, more varied, and more diverse dataset. If you want to have expensive custom cars that's fine, but you're going to get fewer vehicles for the same budget. Seeing what's in front of you now is actually less important than predicting what's going to happen next — and the large scale datasets used to train pure vision systems are the best for predicting what's next. Counter-intuitively, the simpler and lower cost sensor actually has properties that make it better suited for training advanced AI. Computer vision based self-driving is often framed by LIDAR proponents as "cheaping out" on the sensor suite to save money. But it's not about being cheap, it's about bringing the technology to everyone. 1.2 million people die on the road every year around the world. That's around 39 million people who've died on the roads around the world since I was born — equivalent to a city the size of Tokyo or New Delhi getting wiped off the map. The status quo is simply unacceptable, and something has to be done to fix it as soon as possible. Of the 1.2 million people that will die on the roads this year, about 40,000 will be Americans. That's about 3%. So if we moved entirely to self-driving cars in America and brought crashes down to 0, 97% of the world's crash fatalities would still be taking place as usual. Deploying a $200,000+ retrofitted self-driving car may work in a few American cities, but it is not going to make sense in most places around the world where fares are much cheaper. Most often, the choice is not between LIDAR and vision. It's between vision or nothing. The best system is the system that's there running on my car when I need it to save my life. To say that all self-driving cars must have LIDAR is to sentence most of the world to death. We can't write off computer vision if we want to make a serious dent in this problem. It's going to be a key piece of the solution. Let LIDAR based players build the best self-driving car they can, and let vision based players do the same. We need to be trying everything

Are you safer with LIDAR, or are you safer with vision? This is a false dichotomy. The more pertinent question today is "do you have something, or do you have nothing?" As you can see from the clips below, vision based systems avoid countless potential collisions every day. The difference between a crash and no crash isn't what sensor suite you chose — it's whether you have any AI on your car at all. Even if we concede that LIDAR may help prevent some additional crashes, we are really debating whether it is 1% of crashes or 0.00001% of crashes. Not all crashes are super complex and require lasers to detect. Most are simple, routine, and can easily be prevented by today's vision based AI. In fact, evidence is mounting that computer vision based systems can actually outperform more traditional approaches to self-driving. Why? Because the low cost of cameras enables you to create a much larger, more varied, and more diverse dataset. If you want to have expensive custom cars that's fine, but you're going to get fewer vehicles for the same budget. Seeing what's in front of you now is actually less important than predicting what's going to happen next — and the large scale datasets used to train pure vision systems are the best for predicting what's next. Counter-intuitively, the simpler and lower cost sensor actually has properties that make it better suited for training advanced AI. Computer vision based self-driving is often framed by LIDAR proponents as "cheaping out" on the sensor suite to save money. But it's not about being cheap, it's about bringing the technology to everyone. 1.2 million people die on the road every year around the world. That's around 39 million people who've died on the roads around the world since I was born — equivalent to a city the size of Tokyo or New Delhi getting wiped off the map. The status quo is simply unacceptable, and something has to be done to fix it as soon as possible. Of the 1.2 million people that will die on the roads this year, about 40,000 will be Americans. That's about 3%. So if we moved entirely to self-driving cars in America and brought crashes down to 0, 97% of the world's crash fatalities would still be taking place as usual. Deploying a $200,000+ retrofitted self-driving car may work in a few American cities, but it is not going to make sense in most places around the world where fares are much cheaper. Most often, the choice is not between LIDAR and vision. It's between vision or nothing. The best system is the system that's there running on my car when I need it to save my life. To say that all self-driving cars must have LIDAR is to sentence most of the world to death. We can't write off computer vision if we want to make a serious dent in this problem. It's going to be a key piece of the solution. Let LIDAR based players build the best self-driving car they can, and let vision based players do the same. We need to be trying everything

Whole Mars Catalog

45,801 Aufrufe • vor 1 Jahr

Just finished a one-week trip to China. I've now "survived" all the major (~20) L2 self-driving and robotaxi vehicles in both the US and China. Some thoughts & observations: ▶️L2 self-driving I tested major brands like $Huawei, $Li, $NIO, $Xpeng, and $Xiaomi. Overall, they exceeded my expectations. The rides were not overly cautious and handled complex situations (yes, road conditions in China are very challenging!) quite well. Nothing compares to $Tsla's approach. I see imitation learning/end-to-end as the only effective approach for self-driving. While Chinese peers perform well on main roads, they struggle on frontage roads due to reliance on high-precision maps and rule-based methods (e.g. cars stopped in the middle of the road where there was no clear white lining). Chinese EVs' self-driving capabilities are far ahead of those from US and EU brands. I doubt any Chinese players can profit from L2 self-driving, not because it’s not useful, but because it’s hard to differentiate, and price wars dominate the market in China. Chinese consumers and regulators seem much more receptive to self-driving. Even with a 5/10 self-driving capability, cars are practically *hands-free(!)* Insurance-wise, for L3+ cars, OEMs bear responsibility for incidents, so OEMs avoid labeling cars as L3+. ▶️Robotaxi I tested major brands like $Didi, and $Bidu. I'd rate equal to $Waymo, and it's ahead of other peers. However, the same issue applies here: user experience is nearly perfect (in Yizhuang, Beijing), but expansion is the real question. Chinese robotaxi companies are very sophisticated. While the rest of the world focuses on technology, Chinese peers treat it as a product, considering unit economics, operations, mass production, etc. Interestingly, most companies expressed a preference NOT to operate fleets themselves. They aim to be asset-light and let fleet managers handle operations. Policy Support: China has a very clear approval process, driven by data (autonomous driving distance, fully driverless distance, intervention rate, passenger ratings, etc.). ▶️Chinese EVs In major cities like Beijing or Shanghai, EV adoption (green license plates vs. gas cars with blue license plates) seems to be 40%+. If 40% of cars on the road are EVs, then EV penetration (defined as the % of new car sales) must already be over 50%. In shopping malls, the ground floor is filled with EV showrooms—easily 10+ brands, many of which are unfamiliar Chinese brands. It appears almost too easy to make an electric car, which is a stark contrast to the US. $Xiaomi, for example, can achieve a 10% gross profit margin in its first year of operation, compared to $RIVN's -45%. Additionally, $Xiaomi cars are priced at 30% of $RIVN's price. It's fascinating to see how China transitioned from "couldn't make their own gas cars at all (only JVs)" to "dominating EVs globally." The government deserves credit for setting the direction and executing effectively. China now controls the entire supply chain, with $CATL holding 40% of the global market share. 🔹How did it happen? The success of the industry Incentives were set just right: the government provided incentives early on to make EVs and gas cars have comparable MSRPs, allowing consumers to choose based on functionality. This approach differs from how the IRA offers incentives... Perfectly competitive market: $TSLA was brought in, and competition was welcomed, unlike the US, which has a 100% import tax on Chinese EVs. Strategic regulations: License plate restrictions were used effectively; for example, taxis and minivans are required to be EVs. 🔹The challenges Despite the success, the industry faces challenges with low-margin companies and struggling stocks. The intense competition shows no sign of ending. Well-funded global OEMs and Chinese state-owned car companies continue to subsidize, leading to new EV brands emerging annually. The natural tendency in China is to race to the bottom. I think this ties back to China's history as the "world’s factory," where manufacturers price products at "cost plus" versus the US and developing countries, which price based on "affordability/value creation." 🔹The wow EV feature >Software features that surprised me the most: - Everything in the car can be voice-controlled. Not just simple tasks like playing music; users can adjust the height of the steering wheel and set the temperature easily. - Self-parking, which $Tsla has yet to release to all FSD users, is already a table stake in China (I'd rate the quality as 10/10). >Other fun hardware features: - Mini fridges in the car - Infotainment systems - IoT: remote access the car/home via cellphone - all connected together - Heads-up displays - UV-protected glass roofs: $Xiaomi took $Tsla's design, but the glass roof of the $Xiaomi car is made of double layers with silver, blocking 99.9% of UV and infrared rays...as a result, heat is no longer a problem inside the car

Just finished a one-week trip to China. I've now "survived" all the major (~20) L2 self-driving and robotaxi vehicles in both the US and China. Some thoughts & observations: ▶️L2 self-driving I tested major brands like $Huawei, $Li, $NIO, $Xpeng, and $Xiaomi. Overall, they exceeded my expectations. The rides were not overly cautious and handled complex situations (yes, road conditions in China are very challenging!) quite well. Nothing compares to $Tsla's approach. I see imitation learning/end-to-end as the only effective approach for self-driving. While Chinese peers perform well on main roads, they struggle on frontage roads due to reliance on high-precision maps and rule-based methods (e.g. cars stopped in the middle of the road where there was no clear white lining). Chinese EVs' self-driving capabilities are far ahead of those from US and EU brands. I doubt any Chinese players can profit from L2 self-driving, not because it’s not useful, but because it’s hard to differentiate, and price wars dominate the market in China. Chinese consumers and regulators seem much more receptive to self-driving. Even with a 5/10 self-driving capability, cars are practically hands-free(!) Insurance-wise, for L3+ cars, OEMs bear responsibility for incidents, so OEMs avoid labeling cars as L3+. ▶️Robotaxi I tested major brands like $Didi, and $Bidu. I'd rate equal to $Waymo, and it's ahead of other peers. However, the same issue applies here: user experience is nearly perfect (in Yizhuang, Beijing), but expansion is the real question. Chinese robotaxi companies are very sophisticated. While the rest of the world focuses on technology, Chinese peers treat it as a product, considering unit economics, operations, mass production, etc. Interestingly, most companies expressed a preference NOT to operate fleets themselves. They aim to be asset-light and let fleet managers handle operations. Policy Support: China has a very clear approval process, driven by data (autonomous driving distance, fully driverless distance, intervention rate, passenger ratings, etc.). ▶️Chinese EVs In major cities like Beijing or Shanghai, EV adoption (green license plates vs. gas cars with blue license plates) seems to be 40%+. If 40% of cars on the road are EVs, then EV penetration (defined as the % of new car sales) must already be over 50%. In shopping malls, the ground floor is filled with EV showrooms—easily 10+ brands, many of which are unfamiliar Chinese brands. It appears almost too easy to make an electric car, which is a stark contrast to the US. $Xiaomi, for example, can achieve a 10% gross profit margin in its first year of operation, compared to $RIVN's -45%. Additionally, $Xiaomi cars are priced at 30% of $RIVN's price. It's fascinating to see how China transitioned from "couldn't make their own gas cars at all (only JVs)" to "dominating EVs globally." The government deserves credit for setting the direction and executing effectively. China now controls the entire supply chain, with $CATL holding 40% of the global market share. 🔹How did it happen? The success of the industry Incentives were set just right: the government provided incentives early on to make EVs and gas cars have comparable MSRPs, allowing consumers to choose based on functionality. This approach differs from how the IRA offers incentives... Perfectly competitive market: $TSLA was brought in, and competition was welcomed, unlike the US, which has a 100% import tax on Chinese EVs. Strategic regulations: License plate restrictions were used effectively; for example, taxis and minivans are required to be EVs. 🔹The challenges Despite the success, the industry faces challenges with low-margin companies and struggling stocks. The intense competition shows no sign of ending. Well-funded global OEMs and Chinese state-owned car companies continue to subsidize, leading to new EV brands emerging annually. The natural tendency in China is to race to the bottom. I think this ties back to China's history as the "world’s factory," where manufacturers price products at "cost plus" versus the US and developing countries, which price based on "affordability/value creation." 🔹The wow EV feature >Software features that surprised me the most: - Everything in the car can be voice-controlled. Not just simple tasks like playing music; users can adjust the height of the steering wheel and set the temperature easily. - Self-parking, which $Tsla has yet to release to all FSD users, is already a table stake in China (I'd rate the quality as 10/10). >Other fun hardware features: - Mini fridges in the car - Infotainment systems - IoT: remote access the car/home via cellphone - all connected together - Heads-up displays - UV-protected glass roofs: $Xiaomi took $Tsla's design, but the glass roof of the $Xiaomi car is made of double layers with silver, blocking 99.9% of UV and infrared rays...as a result, heat is no longer a problem inside the car

Freda Duan

399,004 Aufrufe • vor 2 Jahren

Robots that act like slime! 🫟 Cornell University engineers developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes, and adapts without centralized control. It consists of dozens of small robots with limited individual mobility that exhibit coordinated motion when entangled. The system resembles soft matter, continuously deforming and reorganizing as it moves, driven by mechanical intelligence. Each robotic module measures 200mm long and 20mm wide, containing a small motor that oscillates between "I" and "U" shapes. These oscillations generate forces against the ground, allowing modules to inch forward and jostle together. On their own, modules move slowly and inefficiently. When they entangle into chains, they self-organize into shifting configurations that prove resilient in challenging environments. On incline surfaces, chains moved more reliably than individuals. In obstacle fields, the collective behaved like a flowing material, connections formed to maintain cohesion, then broke apart to prevent jamming. The system stays functional even when modules fail. Isolated modules emit an audible distress signal, prompting nearby modules to slow down so the straggler can reconnect. No centralized sensing or control, each module infers when it has lost contact by how much it's being jostled. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Robots that act like slime! 🫟 Cornell University engineers developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes, and adapts without centralized control. It consists of dozens of small robots with limited individual mobility that exhibit coordinated motion when entangled. The system resembles soft matter, continuously deforming and reorganizing as it moves, driven by mechanical intelligence. Each robotic module measures 200mm long and 20mm wide, containing a small motor that oscillates between "I" and "U" shapes. These oscillations generate forces against the ground, allowing modules to inch forward and jostle together. On their own, modules move slowly and inefficiently. When they entangle into chains, they self-organize into shifting configurations that prove resilient in challenging environments. On incline surfaces, chains moved more reliably than individuals. In obstacle fields, the collective behaved like a flowing material, connections formed to maintain cohesion, then broke apart to prevent jamming. The system stays functional even when modules fail. Isolated modules emit an audible distress signal, prompting nearby modules to slow down so the straggler can reconnect. No centralized sensing or control, each module infers when it has lost contact by how much it's being jostled. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

13,026 Aufrufe • vor 2 Monaten

Created with Seedance 2.0 on BudgetPixel AI Prompt:Create a highly detailed, cinematic 15-second animated video set in a lively modern city completely operated by anthropomorphic animals. Use polished feature-film-quality 3D animation, expressive but natural animal movements, realistic fur simulation, vibrant environments, smooth camera motion, and consistent character design throughout. 0–3 seconds — Bear Police Officers Open with a wide establishing shot of a busy downtown intersection during a bright morning. Two large brown bears wear neat navy police uniforms with badges and caps. One bear confidently directs traffic with clear hand signals while the other stands beside a police car with flashing lights. Animal pedestrians cross the street naturally in the background. 3–6 seconds — Penguin Ice Cream Shop Use a smooth whip-pan transition to a colorful vintage ice cream truck. Two cheerful penguins wearing small aprons and bow ties serve ice cream cones through the window. A rabbit customer receives a tall strawberry cone while other animals wait in line. Include playful expressions, realistic melting ice cream, and small natural movements. 6–10 seconds — Monkey Bus Driver Transition as the ice cream truck passes in front of the camera, revealing a city bus. A friendly monkey in a professional driver’s uniform drives confidently through the busy street. Rabbits, deer, foxes, and pandas sit inside as passengers. Show the monkey checking the mirror, turning the steering wheel, and stopping smoothly at a bus stop. 10–13 seconds — Busy Animal City The camera follows the bus through the city, revealing raccoons cleaning the sidewalks, squirrels selling fruit at a street market, giraffes working near tall buildings, and birds delivering letters between rooftops. The city should feel organized, energetic, and full of believable activity. 13–15 seconds — Grand Final Shot End with a fast cinematic crane shot rising above the central city square, showing hundreds of animals working, shopping, driving, and socializing together. A fountain sits in the center while the animal city stretches into the distance under warm golden sunlight. Style: premium cinematic 3D animation, playful family-friendly comedy, highly detailed fur and clothing, expressive faces, natural body movement, realistic lighting and shadows, colorful urban production design, smooth transitions, dynamic tracking shots, shallow depth of field, 4K, 24fps, widescreen composition. Avoid: character duplication, changing uniforms, distorted paws, extra limbs, floating objects, unreadable signs, unnatural walking, chaotic traffic, stiff animation, low-detail backgrounds, sudden scene changes, text overlays, logos, subtitles, or watermarks.

Created with Seedance 2.0 on BudgetPixel AI Prompt:Create a highly detailed, cinematic 15-second animated video set in a lively modern city completely operated by anthropomorphic animals. Use polished feature-film-quality 3D animation, expressive but natural animal movements, realistic fur simulation, vibrant environments, smooth camera motion, and consistent character design throughout. 0–3 seconds — Bear Police Officers Open with a wide establishing shot of a busy downtown intersection during a bright morning. Two large brown bears wear neat navy police uniforms with badges and caps. One bear confidently directs traffic with clear hand signals while the other stands beside a police car with flashing lights. Animal pedestrians cross the street naturally in the background. 3–6 seconds — Penguin Ice Cream Shop Use a smooth whip-pan transition to a colorful vintage ice cream truck. Two cheerful penguins wearing small aprons and bow ties serve ice cream cones through the window. A rabbit customer receives a tall strawberry cone while other animals wait in line. Include playful expressions, realistic melting ice cream, and small natural movements. 6–10 seconds — Monkey Bus Driver Transition as the ice cream truck passes in front of the camera, revealing a city bus. A friendly monkey in a professional driver’s uniform drives confidently through the busy street. Rabbits, deer, foxes, and pandas sit inside as passengers. Show the monkey checking the mirror, turning the steering wheel, and stopping smoothly at a bus stop. 10–13 seconds — Busy Animal City The camera follows the bus through the city, revealing raccoons cleaning the sidewalks, squirrels selling fruit at a street market, giraffes working near tall buildings, and birds delivering letters between rooftops. The city should feel organized, energetic, and full of believable activity. 13–15 seconds — Grand Final Shot End with a fast cinematic crane shot rising above the central city square, showing hundreds of animals working, shopping, driving, and socializing together. A fountain sits in the center while the animal city stretches into the distance under warm golden sunlight. Style: premium cinematic 3D animation, playful family-friendly comedy, highly detailed fur and clothing, expressive faces, natural body movement, realistic lighting and shadows, colorful urban production design, smooth transitions, dynamic tracking shots, shallow depth of field, 4K, 24fps, widescreen composition. Avoid: character duplication, changing uniforms, distorted paws, extra limbs, floating objects, unreadable signs, unnatural walking, chaotic traffic, stiff animation, low-detail backgrounds, sudden scene changes, text overlays, logos, subtitles, or watermarks.

Sarah Parker

58,693 Aufrufe • vor 17 Tagen

It takes GRIT and sacrifice to play Div 1 Soccer. Self reflect and ask yourself these questions: 1. Will you get up for early AM lifts and not just drag yourself there but arrive happy and energized, eager to work and motivate your teammates? 2. Are you ready to miss family events—weddings, birthdays and be separated from your parents for longer than you ever have before? 3. Can you manage every aspect of your life for the first time by yourself, before you even throw in the rigors and demands of a sport? 4. Can you survive in an environment where you are defined by your sport and have very little social life existence outside of athletic and academic obligations? 5. Can you handle the mental challenge of going from the super star to possibly bottom of the roster, sitting on the bench, and/or not traveling with the team? 6. Will you be genuinely happy for your roommate who is getting all the playing time and attention while you’re getting none? If all answers are a resounding YES than you are built for this, but it’s not for everyone. And actually not for most. If it was easy, everyone would be doing it. College Soccer Truth ™ ECNL/GA/Recruiting/College Soccer

It takes GRIT and sacrifice to play Div 1 Soccer. Self reflect and ask yourself these questions: 1. Will you get up for early AM lifts and not just drag yourself there but arrive happy and energized, eager to work and motivate your teammates? 2. Are you ready to miss family events—weddings, birthdays and be separated from your parents for longer than you ever have before? 3. Can you manage every aspect of your life for the first time by yourself, before you even throw in the rigors and demands of a sport? 4. Can you survive in an environment where you are defined by your sport and have very little social life existence outside of athletic and academic obligations? 5. Can you handle the mental challenge of going from the super star to possibly bottom of the roster, sitting on the bench, and/or not traveling with the team? 6. Will you be genuinely happy for your roommate who is getting all the playing time and attention while you’re getting none? If all answers are a resounding YES than you are built for this, but it’s not for everyone. And actually not for most. If it was easy, everyone would be doing it. College Soccer Truth ™ ECNL/GA/Recruiting/College Soccer

Marsha Lycan

25,933 Aufrufe • vor 1 Jahr

DOM3 is made from HTML, CSS and Javascript, closer to a document than a canvas. It's a strange contemporary material that shapes much of our digital lives. The rhythm of endless creation and deletion in DOM3 is a self-driving version of what happens when you browse the web. "The Document Object Model (DOM) connects web pages to scripts or programming languages by representing the structure of a document—such as the HTML representing a web page—in memory." A html element, and a rectangle on a canvas, are not the same thing. It's a different material. Even if it all ends up controlling the same pixels, the process is different. The html element kind of actually exists, in this abstract context of a document object model. And in memory, in the moment. If it was possible to measure its weight, it would be heavier than a pixel on a canvas.

DOM3 is made from HTML, CSS and Javascript, closer to a document than a canvas. It's a strange contemporary material that shapes much of our digital lives. The rhythm of endless creation and deletion in DOM3 is a self-driving version of what happens when you browse the web. "The Document Object Model (DOM) connects web pages to scripts or programming languages by representing the structure of a document—such as the HTML representing a web page—in memory." A html element, and a rectangle on a canvas, are not the same thing. It's a different material. Even if it all ends up controlling the same pixels, the process is different. The html element kind of actually exists, in this abstract context of a document object model. And in memory, in the moment. If it was possible to measure its weight, it would be heavier than a pixel on a canvas.

Leander Herzog

11,484 Aufrufe • vor 10 Monaten

How are insecure attachments repaired? This week I’ve been exploring the concept of attachment (a deep emotional bond created between parents and their children during the earliest months and years of life). In doing so I’ve focused primarily on the goal of secure attachment. But not all attachments begin securely. Which begs a pair of questions: What causes insecure attachments and how can they be strengthened? While anxious and disorganized attachment types can certainly result from erratic parenting, the toxic stress created by unsafe environments, and/or abuse and neglect, it’s important to keep in mind that early relational challenges occur on a broad spectrum of severity and sometimes aren’t the result of any parental shortcoming at all. In fact, some root causes may not even be within parental control. Children born extremely prematurely, for example, may spend weeks or months in a neonatal intensive care unit. While essential to their survival, the situation can limit early interaction with even the most attentive and well equipped parents. What else might impact attachment quality? The list is likely a long one. Severe postpartum depression, a prolonged military deployment… anything that might present a barrier to strong relational health between a parent and child. In complex (traumatic) cases of disorganized attachment, families may require a combination of specialized infant mental health services, therapy, and other professional supports. But in many cases the solution is as simple as a heaping dose of what was missing in the first place: predictably warm and responsive interactions. Children are remarkably resilient - and while it may take time to create updated patterns of interaction and establish them as the “new normal,” insecure attachments can often become secure with focused effort. So take heart. And watch as secure attachment begins to take hold. —— This happy (and securely attached!) duo was shared to IG by tiny.charmzz.

How are insecure attachments repaired? This week I’ve been exploring the concept of attachment (a deep emotional bond created between parents and their children during the earliest months and years of life). In doing so I’ve focused primarily on the goal of secure attachment. But not all attachments begin securely. Which begs a pair of questions: What causes insecure attachments and how can they be strengthened? While anxious and disorganized attachment types can certainly result from erratic parenting, the toxic stress created by unsafe environments, and/or abuse and neglect, it’s important to keep in mind that early relational challenges occur on a broad spectrum of severity and sometimes aren’t the result of any parental shortcoming at all. In fact, some root causes may not even be within parental control. Children born extremely prematurely, for example, may spend weeks or months in a neonatal intensive care unit. While essential to their survival, the situation can limit early interaction with even the most attentive and well equipped parents. What else might impact attachment quality? The list is likely a long one. Severe postpartum depression, a prolonged military deployment… anything that might present a barrier to strong relational health between a parent and child. In complex (traumatic) cases of disorganized attachment, families may require a combination of specialized infant mental health services, therapy, and other professional supports. But in many cases the solution is as simple as a heaping dose of what was missing in the first place: predictably warm and responsive interactions. Children are remarkably resilient - and while it may take time to create updated patterns of interaction and establish them as the “new normal,” insecure attachments can often become secure with focused effort. So take heart. And watch as secure attachment begins to take hold. —— This happy (and securely attached!) duo was shared to IG by tiny.charmzz.

Dan Wuori

95,280 Aufrufe • vor 2 Jahren

For too long, investors have wondered what would happen to their bitcoin when they die. Today, Casa has answered the call. We’re proud to introduce Casa Inheritance, a smooth solution to inheritance planning for everyone. 🌟 Here’s some of what you can expect for your legacy: 🙌 Included FREE with All New Casa Memberships -Secure BTC, ETH, USDC, and USDT inheritance for your loved ones, hassle-free and with no extra cost. -Casa Inheritance is available to all Standard, Premium, and Private Client members. Finally, there’s one home for your self-custody and inheritance. 🏡 🔐 Self-Custody with Multiple Keys -Casa helps you take true self-custody of your digital assets by storing them with multiple encrypted keys. -This protects your assets from hacks, accidents, and single points of failure. 🔑 Sharing Keys for Inheritance -With Casa Inheritance, you can securely share your encrypted mobile key with a designated Recipient . -This allows them to request access to your digital asset vault when needed. ⏳ Secure Waiting Period -After the Recipient requests vault access, there is a six-month waiting period. -During this time, Casa sends you reminders to confirm you're still alive. This prevents premature or unauthorized access to your assets. 🔓 Controlled Asset Transfer -After the waiting period, the Recipient gains access using your mobile key and Casa's Recovery Key. -They can then securely manage and transfer your digital assets as per your wishes. 📍 Global Availability, No KYC -Casa Inheritance is available worldwide, without requiring KYC information. -This ensures privacy and accessibility for global users. 🔀 Multi-Asset Support - If your loved ones are totally new to crypto, it can be overwhelming to manage multiple blockchains. -Casa Inheritance supports major digital assets like bitcoin, ether, Tether, and USD Coin. Ready to future-proof your assets? Want to learn more? Check out the link below and try it for yourself. Your family will thank you! 🧑‍🧑‍🧒

For too long, investors have wondered what would happen to their bitcoin when they die. Today, Casa has answered the call. We’re proud to introduce Casa Inheritance, a smooth solution to inheritance planning for everyone. 🌟 Here’s some of what you can expect for your legacy: 🙌 Included FREE with All New Casa Memberships -Secure BTC, ETH, USDC, and USDT inheritance for your loved ones, hassle-free and with no extra cost. -Casa Inheritance is available to all Standard, Premium, and Private Client members. Finally, there’s one home for your self-custody and inheritance. 🏡 🔐 Self-Custody with Multiple Keys -Casa helps you take true self-custody of your digital assets by storing them with multiple encrypted keys. -This protects your assets from hacks, accidents, and single points of failure. 🔑 Sharing Keys for Inheritance -With Casa Inheritance, you can securely share your encrypted mobile key with a designated Recipient . -This allows them to request access to your digital asset vault when needed. ⏳ Secure Waiting Period -After the Recipient requests vault access, there is a six-month waiting period. -During this time, Casa sends you reminders to confirm you're still alive. This prevents premature or unauthorized access to your assets. 🔓 Controlled Asset Transfer -After the waiting period, the Recipient gains access using your mobile key and Casa's Recovery Key. -They can then securely manage and transfer your digital assets as per your wishes. 📍 Global Availability, No KYC -Casa Inheritance is available worldwide, without requiring KYC information. -This ensures privacy and accessibility for global users. 🔀 Multi-Asset Support - If your loved ones are totally new to crypto, it can be overwhelming to manage multiple blockchains. -Casa Inheritance supports major digital assets like bitcoin, ether, Tether, and USD Coin. Ready to future-proof your assets? Want to learn more? Check out the link below and try it for yourself. Your family will thank you! 🧑‍🧑‍🧒

Casa

119,427 Aufrufe • vor 2 Jahren

while true by Lars Wander (Lars Wander) is now open for bidding by ranked auction with settlement! The auction is a 24 hour auction until December 11th, 12pm ET + extensions. Auction page: Some things to keep in mind as you place bids: • The minimum starting bid is 0.05 ETH. • If a bid is placed within the last 5 minutes of the auction, the auction will be extended to 5 minutes (maximum extension total = 60 minutes). • The top 60 bids will win a while true digital artwork. All winning bidders pay the lowest winning bid price. If you bid more than that, the extra amount will be returned to the wallet you bid with. • If the auction sells out – artwork will be sent to winning bidder wallets within 24 hours (usually much, much faster) starting with the highest bid. • If the auction does not sell out – the artwork will be sent to bidder wallets within 24 hours, and the remaining artwork can be purchased at a fixed price equal to the auction’s lowest winning bid. • Bids cannot be cancelled once placed. • If someone outbids you and you are no longer a qualifying winning bid, your funds will automatically be returned. • You may increase the price of your winning bid during the auction. The difference in price will be collected, and the bid’s timestamp will be reset.

while true by Lars Wander (Lars Wander) is now open for bidding by ranked auction with settlement! The auction is a 24 hour auction until December 11th, 12pm ET + extensions. Auction page: Some things to keep in mind as you place bids: • The minimum starting bid is 0.05 ETH. • If a bid is placed within the last 5 minutes of the auction, the auction will be extended to 5 minutes (maximum extension total = 60 minutes). • The top 60 bids will win a while true digital artwork. All winning bidders pay the lowest winning bid price. If you bid more than that, the extra amount will be returned to the wallet you bid with. • If the auction sells out – artwork will be sent to winning bidder wallets within 24 hours (usually much, much faster) starting with the highest bid. • If the auction does not sell out – the artwork will be sent to bidder wallets within 24 hours, and the remaining artwork can be purchased at a fixed price equal to the auction’s lowest winning bid. • Bids cannot be cancelled once placed. • If someone outbids you and you are no longer a qualifying winning bid, your funds will automatically be returned. • You may increase the price of your winning bid during the auction. The difference in price will be collected, and the bid’s timestamp will be reset.

Art Blocks

15,600 Aufrufe • vor 1 Jahr