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50km autonomous reconnaissance mission. No interventions, no teleoperation, no safety driver in the vehicle. 10x speed so you can see the whole thing. Watch Overland AI's OverDrive autonomy stack choose its own path, deftly navigating dirt roads, trails, and gnarly cross-country terrain. Tall vegetation, steep ditches, thick mud, water... show more

Overland AI

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11,686 views • 4 months ago •via X (Twitter)

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Autonomous dodging off-roads without any human presence. This is a demonstration of pushing the limits of what is possible in off-road #autonomousdriving. In this demo, we performed autonomous dodging without any human presence in our autonomous vehicle, that too off-roads. In this mode, collision avoidance against aggressive-stochastic-adversarial traffic is the sole responsibility of #AutonomousVehicles. Our autonomous vehicle, Deep Xplorer, was tasked with navigating an off-road trail, avoiding both the static and dynamic obstacles. Furthermore, team members on bikes introduced random cross-traffic interactions by cutting its path at random, creating highly adversarial and stochastic traffic scenarios. To increase the stakes even further, I personally drove our other autonomous vehicle (Xplorer), cutting the path of Deep Xplorer at random --leaving the task of negotiation, motion planning, and decision making, to ensure collision avoidance and safety of the vehicles and the environment as a sole responsibility of our autonomous driving stack in Deep Xplorer. This is the first time in the history of Swaayatt Robots that we performed autonomous dodging without human presence in our autonomous vehicle, pushing the limits of what is possible in autonomous driving landscape. #reinforcementlearning #deeplearning

Autonomous dodging off-roads without any human presence. This is a demonstration of pushing the limits of what is possible in off-road #autonomousdriving. In this demo, we performed autonomous dodging without any human presence in our autonomous vehicle, that too off-roads. In this mode, collision avoidance against aggressive-stochastic-adversarial traffic is the sole responsibility of #AutonomousVehicles. Our autonomous vehicle, Deep Xplorer, was tasked with navigating an off-road trail, avoiding both the static and dynamic obstacles. Furthermore, team members on bikes introduced random cross-traffic interactions by cutting its path at random, creating highly adversarial and stochastic traffic scenarios. To increase the stakes even further, I personally drove our other autonomous vehicle (Xplorer), cutting the path of Deep Xplorer at random --leaving the task of negotiation, motion planning, and decision making, to ensure collision avoidance and safety of the vehicles and the environment as a sole responsibility of our autonomous driving stack in Deep Xplorer. This is the first time in the history of Swaayatt Robots that we performed autonomous dodging without human presence in our autonomous vehicle, pushing the limits of what is possible in autonomous driving landscape. #reinforcementlearning #deeplearning

Sanjeev Sharma

68,527 views • 7 months ago

The 6666 is the most famous ranch in America. 260,000 acres of West Texas. Right now its wagon boss spends his days watching dirt tanks cook off in the sun. Kye Fuston walks the country checking body condition scores. When cows start sliding backwards, that means one thing: start feeding. Water is the real input cost. They move whole sets of cattle to solar wells and pipeline because a dirt tank can be full one day and a mud hole the next. Evaporation is so bad you can have water, come back in two days, and it is a mud hole. That is what drought overhead actually looks like. Every tank is a bet against the sun. And the whole herd is carrying that bill. Dale Brisby

The 6666 is the most famous ranch in America. 260,000 acres of West Texas. Right now its wagon boss spends his days watching dirt tanks cook off in the sun. Kye Fuston walks the country checking body condition scores. When cows start sliding backwards, that means one thing: start feeding. Water is the real input cost. They move whole sets of cattle to solar wells and pipeline because a dirt tank can be full one day and a mud hole the next. Evaporation is so bad you can have water, come back in two days, and it is a mud hole. That is what drought overhead actually looks like. Every tank is a bet against the sun. And the whole herd is carrying that bill. Dale Brisby

SAVE BEEF 🇺🇸 BeefMaps.com

104,663 views • 6 days ago

🚨 HISTORY MADE: TESLA JUST LAUNCHED UNSUPERVISED ROBOTAXIS ON PUBLIC STREETS - WATCH ONE OF THE FIRST RIDES A passenger records the entire trip from start to finish on public streets in Austin, Texas. There’s no safety driver, no human monitor, and no remote takeover. The vehicle is being guided entirely by Tesla’s onboard AI making real time decisions in live traffic. This isn’t a demo or a controlled pilot. It’s live autonomy operating in a real city, reacting to unpredictable conditions without human backup. For years people said this moment would never arrive. Now it’s on video. Whether you love Tesla or doubt it, Elon Musk just pushed AI driven autonomy out of theory and into the real world. What job is about to disappear first?

🚨 HISTORY MADE: TESLA JUST LAUNCHED UNSUPERVISED ROBOTAXIS ON PUBLIC STREETS - WATCH ONE OF THE FIRST RIDES A passenger records the entire trip from start to finish on public streets in Austin, Texas. There’s no safety driver, no human monitor, and no remote takeover. The vehicle is being guided entirely by Tesla’s onboard AI making real time decisions in live traffic. This isn’t a demo or a controlled pilot. It’s live autonomy operating in a real city, reacting to unpredictable conditions without human backup. For years people said this moment would never arrive. Now it’s on video. Whether you love Tesla or doubt it, Elon Musk just pushed AI driven autonomy out of theory and into the real world. What job is about to disappear first?

HustleBitch

17,625 views • 8 months ago

No steering wheel. No pedals. No Driver. Just tap Start Ride. This is a full Tesla Cybercab drive in Austin — Tesla’s purpose-built two-seater robotaxi with no manual controls. No walkaround. Just the ride. Once both people are in, the butterfly doors close, you hit Start Ride on the 21-inch screen, and the car takes over. Early rides keep landing on the same thing: quiet, soft, and almost boring. It pulls away smoothly, handles speed bumps without drama, and mostly disappears into the background. Which is exactly what you want from a driverless taxi. The cabin feels more like a lounge than a car. The bench slides and reclines, the legroom is bigger than the body looks, and the whole trip runs off that center screen plus climate and seat controls. Starlink is built in for video, games, and entertainment while the car handles the road. Cybercab is Tesla’s first vehicle designed only for unsupervised autonomy. Model Y robotaxis already carried paying riders. This is the car built around that software. Elon Musk Tesla Robotaxi Tesla AI Eric Ashok Elluswamy Video shot on Insta360 Luna Ultra

No steering wheel. No pedals. No Driver. Just tap Start Ride. This is a full Tesla Cybercab drive in Austin — Tesla’s purpose-built two-seater robotaxi with no manual controls. No walkaround. Just the ride. Once both people are in, the butterfly doors close, you hit Start Ride on the 21-inch screen, and the car takes over. Early rides keep landing on the same thing: quiet, soft, and almost boring. It pulls away smoothly, handles speed bumps without drama, and mostly disappears into the background. Which is exactly what you want from a driverless taxi. The cabin feels more like a lounge than a car. The bench slides and reclines, the legroom is bigger than the body looks, and the whole trip runs off that center screen plus climate and seat controls. Starlink is built in for video, games, and entertainment while the car handles the road. Cybercab is Tesla’s first vehicle designed only for unsupervised autonomy. Model Y robotaxis already carried paying riders. This is the car built around that software. Elon Musk Tesla Robotaxi Tesla AI Eric Ashok Elluswamy Video shot on Insta360 Luna Ultra

Tesla Owners Silicon Valley

23,396 views • 17 days ago

Autonomous driving through extremely-tight-dynamic environments with complex, stochastic, and adversarial traffic-dynamics, or simply through an absolute chaos, on sub-urban unstructured roads in India. This kind of traffic and environment has never been attempted in the history of #autonomousdriving. There were no traffic-rules to abide by on this road, other than to perform a left-sided avoidance, if the other obstacles follow the same, else the vehicle will have to change its plan in a stochastic manner, in several of the adversarial multi-agent negotiation settings encountered throughout the autonomous navigation. This demos tested our motion planning and decision making framework to its limits, showcasing its robustness in negotiating such traffic-dynamics with ease. This demo was done on mostly a very narrow road, suited mostly for one-way navigation, but as is customary in India, bidirectional traffic is active on such narrow roads. It can be seen throughout navigation that the incoming vehicles didn't allow any gaps for our #AutonomousVehicles, forcing it to negotiate passively-aggressively its own path through the chaos. Furthermore, obstacles overtaking us didn't follow any rules either, and zig-zagged and moved in crisscross fashion, challenging our motion and behaviour planning software, which negotiated all such scenarios with ease. There were only two points where our vehicle came to halt, when two girls on a two-wheeler didn't stop and just kept on navigating, despite our vehicle being closer to the narrow passage and it having the right of way, and despite a bike being parked over there by someone, making it a very challenging scenario both for the humans and for the decision making autonomous agent(s). This demo was done in the Awadhpuri area, on the Durga Mata road. This framework was last shown in relatively much sparser traffic in our Kankali Kali Mata demo last month. It is being scaled further with deep unsupervised and #reinforcementlearning , and in the coming weeks, it will play a critical role in our endeavour to solving the Level-4 autonomy problem by the end of the year. This kind of traffic negotiation has never been attempted by any autonomous driving company ever. While a 90-degree turn is usually discussed as a corner case in the West, our autonomous vehicle negotiated a blind 90-degree corner, with traffic, with ease. #deeplearning #MachineLearning Swaayatt Robots

Autonomous driving through extremely-tight-dynamic environments with complex, stochastic, and adversarial traffic-dynamics, or simply through an absolute chaos, on sub-urban unstructured roads in India. This kind of traffic and environment has never been attempted in the history of #autonomousdriving. There were no traffic-rules to abide by on this road, other than to perform a left-sided avoidance, if the other obstacles follow the same, else the vehicle will have to change its plan in a stochastic manner, in several of the adversarial multi-agent negotiation settings encountered throughout the autonomous navigation. This demos tested our motion planning and decision making framework to its limits, showcasing its robustness in negotiating such traffic-dynamics with ease. This demo was done on mostly a very narrow road, suited mostly for one-way navigation, but as is customary in India, bidirectional traffic is active on such narrow roads. It can be seen throughout navigation that the incoming vehicles didn't allow any gaps for our #AutonomousVehicles, forcing it to negotiate passively-aggressively its own path through the chaos. Furthermore, obstacles overtaking us didn't follow any rules either, and zig-zagged and moved in crisscross fashion, challenging our motion and behaviour planning software, which negotiated all such scenarios with ease. There were only two points where our vehicle came to halt, when two girls on a two-wheeler didn't stop and just kept on navigating, despite our vehicle being closer to the narrow passage and it having the right of way, and despite a bike being parked over there by someone, making it a very challenging scenario both for the humans and for the decision making autonomous agent(s). This demo was done in the Awadhpuri area, on the Durga Mata road. This framework was last shown in relatively much sparser traffic in our Kankali Kali Mata demo last month. It is being scaled further with deep unsupervised and #reinforcementlearning , and in the coming weeks, it will play a critical role in our endeavour to solving the Level-4 autonomy problem by the end of the year. This kind of traffic negotiation has never been attempted by any autonomous driving company ever. While a 90-degree turn is usually discussed as a corner case in the West, our autonomous vehicle negotiated a blind 90-degree corner, with traffic, with ease. #deeplearning #MachineLearning Swaayatt Robots

Sanjeev Sharma

125,317 views • 2 years ago

I got in a Tesla Cybercab in Austin, hit record, and ate boba and popcorn chicken while the car handled the road.That’s the whole point. I did not have to watch traffic. I did not have to keep my hands free. I did not have to stay alert for the next light, lane change, or random driver. The Cybercab has no steering wheel and no pedals. There is no driver. There is no stranger sitting up front. So I could actually eat and just be in the car.This video is that ride. Doors close themselves. The cabin is already set how I like it. I slurp the boba, eat the popcorn chicken, look around, talk, film, and never once have to snap back to the road. That is the difference. In a normal car, eating is a split-attention thing. In this, the road is not my job.Once that clicks, the rest of it makes sense. You can open a laptop and work. You can take a call without saying “sorry, I’m driving.” You can recline and close your eyes. You can treat the cabin like a private room that happens to be moving. Productivity is not a pitch deck idea here. It is what happens when you stop spending the whole trip managing the street. If you have been waiting for a real Austin Cybercab ride instead of a staged walkaround, this is it. Messy food. No driver. No road stress.Riding a Cybercab without worrying about the road. Eating in a robotaxi like it is actually your space. No driver, no strangers, no performance. Using the cabin as a working station. Falling asleep in an AV in a way you cannot in a normal ride. Filmed in Austin, Texas in a Tesla Cybercab / Robotaxi. Subscribe if you want more of these. Video shot on ⁨Insta360⁩ Luna Ultra Thanks Kim Java for filming! Elon Musk Tesla Tesla_AI

I got in a Tesla Cybercab in Austin, hit record, and ate boba and popcorn chicken while the car handled the road.That’s the whole point. I did not have to watch traffic. I did not have to keep my hands free. I did not have to stay alert for the next light, lane change, or random driver. The Cybercab has no steering wheel and no pedals. There is no driver. There is no stranger sitting up front. So I could actually eat and just be in the car.This video is that ride. Doors close themselves. The cabin is already set how I like it. I slurp the boba, eat the popcorn chicken, look around, talk, film, and never once have to snap back to the road. That is the difference. In a normal car, eating is a split-attention thing. In this, the road is not my job.Once that clicks, the rest of it makes sense. You can open a laptop and work. You can take a call without saying “sorry, I’m driving.” You can recline and close your eyes. You can treat the cabin like a private room that happens to be moving. Productivity is not a pitch deck idea here. It is what happens when you stop spending the whole trip managing the street. If you have been waiting for a real Austin Cybercab ride instead of a staged walkaround, this is it. Messy food. No driver. No road stress.Riding a Cybercab without worrying about the road. Eating in a robotaxi like it is actually your space. No driver, no strangers, no performance. Using the cabin as a working station. Falling asleep in an AV in a way you cannot in a normal ride. Filmed in Austin, Texas in a Tesla Cybercab / Robotaxi. Subscribe if you want more of these. Video shot on ⁨Insta360⁩ Luna Ultra Thanks Kim Java for filming! Elon Musk Tesla Tesla_AI

Tesla Owners Silicon Valley

40,093 views • 17 days ago

Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.

Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.

RoboHub🤖

209,946 views • 5 months ago

a shape with no inside. he filled it with water anyway pour water in and it stops almost immediately. the air has nowhere to escape, so it just sits there blocking you. tilt it and you get a little more in, then it blocks again so he put the whole thing in a vacuum chamber turn it on and the bottle starts bubbling. that's the air being pulled out through the neck, leaving as close to nothing inside as he can get then he lets the pressure back in, and the water rushes up into the empty space on its own still not full. so he runs it again, rarefying the smaller pocket of air that's left, and again after that here's the part that breaks your head: for a shape to have volume, it has to split the world in two. a ball does that. stretch it however you want, there's always a world inside and a world outside a Klein bottle has no such line. follow its surface and you never cross a boundary, never pass through a wall, never end up anywhere that isn't the same side you started on the inside is the outside. so there's nothing there to fill he filled it anyway that's the same shape as the room below. no plot, no payoff, just a question your brain won't drop -> can a thing with no inside hold anything at all two videos, two impossible questions, 20 million views between them. Paone broke down why this format works in the article underneath save this. the most watched thing today was a shape that shouldn't be able to hold anything, holding water

a shape with no inside. he filled it with water anyway pour water in and it stops almost immediately. the air has nowhere to escape, so it just sits there blocking you. tilt it and you get a little more in, then it blocks again so he put the whole thing in a vacuum chamber turn it on and the bottle starts bubbling. that's the air being pulled out through the neck, leaving as close to nothing inside as he can get then he lets the pressure back in, and the water rushes up into the empty space on its own still not full. so he runs it again, rarefying the smaller pocket of air that's left, and again after that here's the part that breaks your head: for a shape to have volume, it has to split the world in two. a ball does that. stretch it however you want, there's always a world inside and a world outside a Klein bottle has no such line. follow its surface and you never cross a boundary, never pass through a wall, never end up anywhere that isn't the same side you started on the inside is the outside. so there's nothing there to fill he filled it anyway that's the same shape as the room below. no plot, no payoff, just a question your brain won't drop -> can a thing with no inside hold anything at all two videos, two impossible questions, 20 million views between them. Paone broke down why this format works in the article underneath save this. the most watched thing today was a shape that shouldn't be able to hold anything, holding water

Banff

2,569,123 views • 1 month ago

🚨SHE LIED. WATCH Abigail Spanberger BALD-FACE LIE to the public just one year ago, as she campaigned under the cover of "mother of daughters, protecting fairness in girls' sports"...only to turn around and quietly do the exact opposite. Spanberger gave no press release, no announcement, and buried the change on a government website so parents wouldn't find out. "I'm the mom of three daughters in Virginia public schools and they participate in all activities across the board. I recognize the concern that families and community members might have about the safety of their own kids about competitiveness about fairness. And I think that the process that was in place for 10 years was one that was working...And I think that that is the process that Virginia should continue to utilize."

🚨SHE LIED. WATCH Abigail Spanberger BALD-FACE LIE to the public just one year ago, as she campaigned under the cover of "mother of daughters, protecting fairness in girls' sports"...only to turn around and quietly do the exact opposite. Spanberger gave no press release, no announcement, and buried the change on a government website so parents wouldn't find out. "I'm the mom of three daughters in Virginia public schools and they participate in all activities across the board. I recognize the concern that families and community members might have about the safety of their own kids about competitiveness about fairness. And I think that the process that was in place for 10 years was one that was working...And I think that that is the process that Virginia should continue to utilize."

DeVory Darkins

156,256 views • 5 days ago

So let me get this straight… Government installs public water points so people can drink water easily. Then some real 🪳 cockroaches steal the taps, pipes, fittings from the backside. And instead of questioning the thieves and zero civic sense, people start mocking Modi Ji and the government for likes, reels and engagement. This is the real problem India faces. Not every broken public facility is because “government did nothing.” Many times it is because public property gets destroyed, stolen, damaged and abused by the same people living here. Street lights stolen. Railway fittings stolen. Train windows broken. Road dividers damaged. Public toilets vandalized. Water taps removed. Then the same people record videos and scream: “See! Nothing works in India!” No country can become world class if civic sense is zero. Government can build infrastructure, but it cannot place one policeman behind every tap, every pipe, every divider and every public wall. And the sad part? These same ecosystems later become online propaganda gangs, blaming India for everything while hiding the real reason behind the damage. Reality is harsh, but truth is truth. A nation develops when citizens protect public property not when they steal it and then mock the country for views. 🇮🇳 #Cockroach #defameindia

So let me get this straight… Government installs public water points so people can drink water easily. Then some real 🪳 cockroaches steal the taps, pipes, fittings from the backside. And instead of questioning the thieves and zero civic sense, people start mocking Modi Ji and the government for likes, reels and engagement. This is the real problem India faces. Not every broken public facility is because “government did nothing.” Many times it is because public property gets destroyed, stolen, damaged and abused by the same people living here. Street lights stolen. Railway fittings stolen. Train windows broken. Road dividers damaged. Public toilets vandalized. Water taps removed. Then the same people record videos and scream: “See! Nothing works in India!” No country can become world class if civic sense is zero. Government can build infrastructure, but it cannot place one policeman behind every tap, every pipe, every divider and every public wall. And the sad part? These same ecosystems later become online propaganda gangs, blaming India for everything while hiding the real reason behind the damage. Reality is harsh, but truth is truth. A nation develops when citizens protect public property not when they steal it and then mock the country for views. 🇮🇳 #Cockroach #defameindia

First Witness X

18,892 views • 4 months ago

#WATCH | Delhi: Congress MP Shashi Tharoor says, "..In the Home Minister's (Amit Shah) intervention yesterday, he had sort of taunted the opposition saying, "How can a country have more than 1 constitution, more than 1 flag". But if he looks around the world, there are many federal countries where there is more than 1 constitution, more than 1 flag. For example, in America, each of the 50 states has its own constitution and its own flag. In, Australia, not only is the same thing true that they have their own constitution, their own flag, but they also have their own prime minister each of the states. So there is no bar against this. I mean, you can say that in India, we don't want this. That's fine. But don't say no country can have it because other countries do have."

#WATCH | Delhi: Congress MP Shashi Tharoor says, "..In the Home Minister's (Amit Shah) intervention yesterday, he had sort of taunted the opposition saying, "How can a country have more than 1 constitution, more than 1 flag". But if he looks around the world, there are many federal countries where there is more than 1 constitution, more than 1 flag. For example, in America, each of the 50 states has its own constitution and its own flag. In, Australia, not only is the same thing true that they have their own constitution, their own flag, but they also have their own prime minister each of the states. So there is no bar against this. I mean, you can say that in India, we don't want this. That's fine. But don't say no country can have it because other countries do have."

ANI

346,406 views • 2 years ago

Thousands of illegal aliens have been handed the keys to massive commercial vehicles in the United States despite not being able to speak a word of English. This is an absolute BETRAYAL of public safety that has led to lethal accidents and vehicular homicide all across our country. Under the leadership of Executive Director Dave Kerner at the Florida Department of Highway Safety and Motor Vehicles (FLHSMV), Florida is leading the way in EXPOSING this madness by ending the use of translated, non-English materials and exams for driver’s licenses. We must demand strict, standard English language requirements for every commercial driver in all 50 states to ensure that every single CDL holder and driver in the United States can actually read our road signs and communicate with law enforcement. If you can't pass the driver’s test in the language of our country, you have NO BUSINESS being behind the wheel of a semi-truck on our roads.

Thousands of illegal aliens have been handed the keys to massive commercial vehicles in the United States despite not being able to speak a word of English. This is an absolute BETRAYAL of public safety that has led to lethal accidents and vehicular homicide all across our country. Under the leadership of Executive Director Dave Kerner at the Florida Department of Highway Safety and Motor Vehicles (FLHSMV), Florida is leading the way in EXPOSING this madness by ending the use of translated, non-English materials and exams for driver’s licenses. We must demand strict, standard English language requirements for every commercial driver in all 50 states to ensure that every single CDL holder and driver in the United States can actually read our road signs and communicate with law enforcement. If you can't pass the driver’s test in the language of our country, you have NO BUSINESS being behind the wheel of a semi-truck on our roads.

Laura Loomer

75,969 views • 7 months ago

Parents, electric dirt bikes are NOT e-bikes. Walton County Sheriff's Office, Florida is seeing an increase in electric dirt bikes, also called “e-motos”, being ridden in neighborhoods and on public roads. Monday, six of these electric dirt bikes were impounded and citations were issued to juveniles 11-14 years old. Many Do NOT have pedals, have high-powered motors, and are designed only for off-road use. Under Florida law, these vehicles are NOT street legal. It’s illegal to ride electric dirt bikes or "e-motos" on public roads, bike lanes, and sidewalks in Walton County. Driving an unregistered, electric dirt bike on a public road can lead to citations, fines, impoundment, and a mandatory court date. Parents are responsible for making sure e-motos are used legally and safely. Even if it was a gift for Christmas and thought to be an e-bike, many of these are electric dirt bikes and the rules of the road are different. Allowing a child to ride an e-moto on streets or sidewalks puts them and everyone around them at serious risk. E-Bike vs. Electric Dirt Bike or E-Moto ✅ E-Bike: • Has pedals with electric assist • Designed for roads, bike paths, and shared spaces • Typically, lower speeds and requires less protective gear • Less than 750 watts • Can travel 28 mph or less depending on class of bike • Classified as a bicycle 🚫 Electric Dirt Bike / E-Moto: • All throttle • Higher power and higher speeds • Built for off-road terrain only • Requires full protective gear • 750 watts or more • Can travel up to 70 mph • Classified as a motor vehicle ➡️ NOT legal on streets or sidewalks Our goal is education and safety. Not enforcement after something goes horribly wrong and ends in a tragedy. When these e-motos are operated illegally on public roads and sidewalks, enforcement action will be taken. We're here if you need us.

Parents, electric dirt bikes are NOT e-bikes. Walton County Sheriff's Office, Florida is seeing an increase in electric dirt bikes, also called “e-motos”, being ridden in neighborhoods and on public roads. Monday, six of these electric dirt bikes were impounded and citations were issued to juveniles 11-14 years old. Many Do NOT have pedals, have high-powered motors, and are designed only for off-road use. Under Florida law, these vehicles are NOT street legal. It’s illegal to ride electric dirt bikes or "e-motos" on public roads, bike lanes, and sidewalks in Walton County. Driving an unregistered, electric dirt bike on a public road can lead to citations, fines, impoundment, and a mandatory court date. Parents are responsible for making sure e-motos are used legally and safely. Even if it was a gift for Christmas and thought to be an e-bike, many of these are electric dirt bikes and the rules of the road are different. Allowing a child to ride an e-moto on streets or sidewalks puts them and everyone around them at serious risk. E-Bike vs. Electric Dirt Bike or E-Moto ✅ E-Bike: • Has pedals with electric assist • Designed for roads, bike paths, and shared spaces • Typically, lower speeds and requires less protective gear • Less than 750 watts • Can travel 28 mph or less depending on class of bike • Classified as a bicycle 🚫 Electric Dirt Bike / E-Moto: • All throttle • Higher power and higher speeds • Built for off-road terrain only • Requires full protective gear • 750 watts or more • Can travel up to 70 mph • Classified as a motor vehicle ➡️ NOT legal on streets or sidewalks Our goal is education and safety. Not enforcement after something goes horribly wrong and ends in a tragedy. When these e-motos are operated illegally on public roads and sidewalks, enforcement action will be taken. We're here if you need us.

Walton County Sheriff's Office, Florida

24,702 views • 8 months ago

The next phase is where this really takes off. Agents are semi-autonomous now, doing what you tell them to, more or less. But the next version of them is where it gets wild… they'll allocate their own capital and decide for themselves what to build. You’ll hand your head-agent some capital and say "make me rich in ten years." Off it goes. How do you even prepare for that? There's no playbook for a world where the smartest capital allocators are machines that never sleep and answer to no one. Fucking mental when you take that in. That's exactly why I wrote my Economic Singularity framework in the first place… so we can see the shape of this before it spreads out. You may think the agentic economy has nothing to do with you. It looks like just machines doing their own thing. But the fabric of our world is about to change… jobs, money, businesses, assets, all of it.

The next phase is where this really takes off. Agents are semi-autonomous now, doing what you tell them to, more or less. But the next version of them is where it gets wild… they'll allocate their own capital and decide for themselves what to build. You’ll hand your head-agent some capital and say "make me rich in ten years." Off it goes. How do you even prepare for that? There's no playbook for a world where the smartest capital allocators are machines that never sleep and answer to no one. Fucking mental when you take that in. That's exactly why I wrote my Economic Singularity framework in the first place… so we can see the shape of this before it spreads out. You may think the agentic economy has nothing to do with you. It looks like just machines doing their own thing. But the fabric of our world is about to change… jobs, money, businesses, assets, all of it.

Raoul Pal

133,198 views • 1 month ago

Autonomous driving through very dense dynamic traffic, with extremely tight-complex-stochastic traffic-dynamics on sub-urban roads, connecting to an open ground, with absolutely zero traffic-rules. This is the most heavily cluttered environment where we have tested our #autonomousdriving technology, presenting many of the adversarial negotiation scenarios as well, throughout the autonomous navigation task. This demo was done at the Mata Baglamukhi Madir campus in the city of Nalkheda, in MP, India, and was done in the presence of heavy police forces deployed that day on the ground, as can be seen in our demo. Our autonomous vehicle starts from the temple with a generic open environment, with zero traffic rules, with very narrow corridors created out of barricades for vehicles movement by the security forces. In the corridor no two vehicles can pass through at the same time, and our vehicle was tasked with driving through this corridor, while negotiating its way from any traffic, two-wheelers, or pedestrians it faces, with dense presence of bikes and cars on either side, presenting a very challenging environment for #autonomousvehicles. The vehicle exits the open area, and then assumes generic dual lane navigation, avoiding both static and dynamic obstacles, before encountering a police check-post, where the vehicle is supposed to wait if the barricade is closed, and proceed if open. Upon exiting the checkpost, the vehicle negotiates a traffic-intersection with stochastic and adversarial driving behaviour of other vehicles on the road. Our vehicle continuously faced heavily cluttered traffic scene, where entities on the road can execute a random driving pattern, making the decision making task very challenging. We did the demo over a period of two days, successfully executing multiple (30+) trials in this setting. This demo was again a culmination of our prior works and demos: Kankali Kali Mata demo, on-roads, bidirectional negotiation capability on single lane roads, and open environment Level-5 negotiation capability as showcased in our Toll-Plaza demo. We again scaled up classical decision making and motion planning algorithmic framework, to adapt to such a level of density of obstacles on the road. This framework is further being scaled up with #reinforcementlearning and unsupervised #deeplearning at Swaayatt Robots. We will again do a demo in the month of June here, showcasing autonomously acquired skills to pave the way for Level-5 autonomous driving, and to solve the Level-4 autonomy problem by the end of 2024. #MachineLearning

Autonomous driving through very dense dynamic traffic, with extremely tight-complex-stochastic traffic-dynamics on sub-urban roads, connecting to an open ground, with absolutely zero traffic-rules. This is the most heavily cluttered environment where we have tested our #autonomousdriving technology, presenting many of the adversarial negotiation scenarios as well, throughout the autonomous navigation task. This demo was done at the Mata Baglamukhi Madir campus in the city of Nalkheda, in MP, India, and was done in the presence of heavy police forces deployed that day on the ground, as can be seen in our demo. Our autonomous vehicle starts from the temple with a generic open environment, with zero traffic rules, with very narrow corridors created out of barricades for vehicles movement by the security forces. In the corridor no two vehicles can pass through at the same time, and our vehicle was tasked with driving through this corridor, while negotiating its way from any traffic, two-wheelers, or pedestrians it faces, with dense presence of bikes and cars on either side, presenting a very challenging environment for #autonomousvehicles. The vehicle exits the open area, and then assumes generic dual lane navigation, avoiding both static and dynamic obstacles, before encountering a police check-post, where the vehicle is supposed to wait if the barricade is closed, and proceed if open. Upon exiting the checkpost, the vehicle negotiates a traffic-intersection with stochastic and adversarial driving behaviour of other vehicles on the road. Our vehicle continuously faced heavily cluttered traffic scene, where entities on the road can execute a random driving pattern, making the decision making task very challenging. We did the demo over a period of two days, successfully executing multiple (30+) trials in this setting. This demo was again a culmination of our prior works and demos: Kankali Kali Mata demo, on-roads, bidirectional negotiation capability on single lane roads, and open environment Level-5 negotiation capability as showcased in our Toll-Plaza demo. We again scaled up classical decision making and motion planning algorithmic framework, to adapt to such a level of density of obstacles on the road. This framework is further being scaled up with #reinforcementlearning and unsupervised #deeplearning at Swaayatt Robots. We will again do a demo in the month of June here, showcasing autonomously acquired skills to pave the way for Level-5 autonomous driving, and to solve the Level-4 autonomy problem by the end of 2024. #MachineLearning

Sanjeev Sharma

332,976 views • 2 years ago

CYBERCAB & THE AUTONOMOUS FUTURE: TESLA’S VISION FOR A WORLD WITHOUT STEERING WHEELS – ELON MUSK ON THE END OF HUMAN DRIVING Cybercab is more than a robotaxi—it’s the physical manifestation of Tesla’s bet that full autonomy will make human-driven cars obsolete. No steering wheel, no pedals, no driver—just summon, ride, and arrive cheaper, safer, and greener than any alternative. With production targeted for in Q2’26, Cybercab paves the way for a transportation revolution where personal car ownership becomes optional and roads become dramatically safer. “The future is autonomous. Once you have unsupervised FSD that’s safer than human drivers, owning a car becomes optional for most people. Cybercab will cost so little per mile that it will be cheaper to use a robotaxi than to own and maintain a vehicle.” This shift changes everything: • Cost collapse — ~$0.20–$0.30 per mile vs. today’s $1+ for rideshares or $0.60–$1.00 for personal car ownership (including depreciation, insurance, fuel/charging, maintenance). • Safety leap — Unsupervised FSD eliminates the ~94% of crashes caused by human error—potentially saving hundreds of thousands of lives annually once scaled. • Abundance of mobility — Fleets of Cybercabs run 24/7 at high utilization, turning idle time into revenue and freeing up parking space for parks, housing, and commerce. • Environmental win — Electric, efficient, and shared—massive reduction in emissions compared to today’s car-centric infrastructure. • New economy — Owners can add their Cybercabs (or future autonomous Teslas) to the network for passive income; cities rethink zoning, traffic, and public transit. Cybercab isn’t the endgame—it’s the beginning of an era where transportation becomes a utility like electricity or internet: always available, incredibly cheap, and far safer than today. From Model S proving EVs could be desirable to Cybercab proving autonomy can be ubiquitous, Tesla is rewriting mobility.

CYBERCAB & THE AUTONOMOUS FUTURE: TESLA’S VISION FOR A WORLD WITHOUT STEERING WHEELS – ELON MUSK ON THE END OF HUMAN DRIVING Cybercab is more than a robotaxi—it’s the physical manifestation of Tesla’s bet that full autonomy will make human-driven cars obsolete. No steering wheel, no pedals, no driver—just summon, ride, and arrive cheaper, safer, and greener than any alternative. With production targeted for in Q2’26, Cybercab paves the way for a transportation revolution where personal car ownership becomes optional and roads become dramatically safer. “The future is autonomous. Once you have unsupervised FSD that’s safer than human drivers, owning a car becomes optional for most people. Cybercab will cost so little per mile that it will be cheaper to use a robotaxi than to own and maintain a vehicle.” This shift changes everything: • Cost collapse — ~$0.20–$0.30 per mile vs. today’s $1+ for rideshares or $0.60–$1.00 for personal car ownership (including depreciation, insurance, fuel/charging, maintenance). • Safety leap — Unsupervised FSD eliminates the ~94% of crashes caused by human error—potentially saving hundreds of thousands of lives annually once scaled. • Abundance of mobility — Fleets of Cybercabs run 24/7 at high utilization, turning idle time into revenue and freeing up parking space for parks, housing, and commerce. • Environmental win — Electric, efficient, and shared—massive reduction in emissions compared to today’s car-centric infrastructure. • New economy — Owners can add their Cybercabs (or future autonomous Teslas) to the network for passive income; cities rethink zoning, traffic, and public transit. Cybercab isn’t the endgame—it’s the beginning of an era where transportation becomes a utility like electricity or internet: always available, incredibly cheap, and far safer than today. From Model S proving EVs could be desirable to Cybercab proving autonomy can be ubiquitous, Tesla is rewriting mobility.

Tesla Owners Silicon Valley

18,653 views • 7 months ago

The biggest disinflationary shock in history is close. AI and robotics aren't just filling the productivity gap left by an aging workforce. They're pulling down the cost of everything at the same time. You can already see it. A few years ago you'd rarely see an autonomous vehicle outside a handful of test cities... now they run commercial fleets across the US, coming for rideshare and taxis. Every one of them is a driver who doesn't sleep, unionise, or ask for a raise. When China joined the WTO it flooded the world with cheap labour and held inflation down for two decades. What's coming now is far bigger. People are accepting it faster than any technology in history, and the reason is simple. There is no other choice.

The biggest disinflationary shock in history is close. AI and robotics aren't just filling the productivity gap left by an aging workforce. They're pulling down the cost of everything at the same time. You can already see it. A few years ago you'd rarely see an autonomous vehicle outside a handful of test cities... now they run commercial fleets across the US, coming for rideshare and taxis. Every one of them is a driver who doesn't sleep, unionise, or ask for a raise. When China joined the WTO it flooded the world with cheap labour and held inflation down for two decades. What's coming now is far bigger. People are accepting it faster than any technology in history, and the reason is simple. There is no other choice.

Raoul Pal

147,386 views • 2 months ago