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Seeing touch without pressing down! 🫆 Most tactile sensors rely on deformation. Press down, deform the sensor, measure the deformation. But light contact, touching water, cream, soft films, doesn't deform anything. The sensor sees nothing. LightTact flips the approach. It uses optical detection instead. An ambient-blocking configuration suppresses external...

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Lukas Ziegler

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207,776 次观看 • 2 个月前 •via X (Twitter)

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Meta just open-sourced its dexterity stack! 🪬 Most physics simulators were built for things that move through space. Walking robots, drones, cars. Contact is the part they approximate worst, and obviously dexterous manipulation is nothing but contact. Project SuperDex, from Meta Reality Labs Research, is built the other way around, a contact-first physics engine with the whole platform stacked on top of it. The cool part is that it's on GitHub. The engine runs one solver across rigid bodies, soft bodies, rods and tendons, shells and cloth, in the same model. → Non-convex collision with accurate contact force distributions, so a multi-finger grasp gets simulated rather than approximated → Tactile sensors and soft contact as first-class primitives → Numerical stability without the tight time-step limits explicit solvers force on you → Constraint-aware inverse kinematics running on the same optimization core as the forward dynamics Then the data layer. Put on a Quest 3, teleoperate the simulated hand with haptic feedback, and generate demonstration datasets without touching real hardware. They show a shape-sorting policy trained entirely in simulation and deployed zero-shot on a real robotic hand. Robot hands are getting good. Data for them isn't that fast. Meta is betting the cheapest way to collect contact-rich demonstrations is a headset people already own, pointed at a simulator instead of a game. 🔗 Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:21

Meta just open-sourced its dexterity stack! 🪬 Most physics simulators were built for things that move through space. Walking robots, drones, cars. Contact is the part they approximate worst, and obviously dexterous manipulation is nothing but contact. Project SuperDex, from Meta Reality Labs Research, is built the other way around, a contact-first physics engine with the whole platform stacked on top of it. The cool part is that it's on GitHub. The engine runs one solver across rigid bodies, soft bodies, rods and tendons, shells and cloth, in the same model. → Non-convex collision with accurate contact force distributions, so a multi-finger grasp gets simulated rather than approximated → Tactile sensors and soft contact as first-class primitives → Numerical stability without the tight time-step limits explicit solvers force on you → Constraint-aware inverse kinematics running on the same optimization core as the forward dynamics Then the data layer. Put on a Quest 3, teleoperate the simulated hand with haptic feedback, and generate demonstration datasets without touching real hardware. They show a shape-sorting policy trained entirely in simulation and deployed zero-shot on a real robotic hand. Robot hands are getting good. Data for them isn't that fast. Meta is betting the cheapest way to collect contact-rich demonstrations is a headset people already own, pointed at a simulator instead of a game. 🔗 Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

60,286 次观看 • 21 天前

Open-source magnetic tactile sensor for $5! 🧲 Researchers introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:57

Open-source magnetic tactile sensor for $5! 🧲 Researchers introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

289,657 次观看 • 4 个月前

One tool to handle them all! 🧰 Traditional suction-based systems struggle with over 30% of SKUs. Mesh bags, loose apparel, and porous items often lead to failed picks or damaged goods. Nexera Robotics (Nexera Robotics) is pushing that ceiling to more than 95% by innovating the hardware, not just the software. Their solution? NeuraGrasp®. Instead of rigid fingers or air-dependent suction, NeuraGrasp uses a compliant membrane that conforms to any object. It creates a mechanical lock through friction and wrap-around contact, even on items that leak air or deform. Pressure is distributed by the material itself, meaning no complex force-feedback loops are needed to prevent crushing. It’s single tool can lift heavy payloads, yet pick a single peach without bruising it. A super important part is that no SKU-specific training and no tool changers required. The industry has spent years optimizing robot “brains” while ignoring the hands. Nexera is perfecting the touch to make robots more capable. Congrats Nexera Robotics team! 👏🏼 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:59

One tool to handle them all! 🧰 Traditional suction-based systems struggle with over 30% of SKUs. Mesh bags, loose apparel, and porous items often lead to failed picks or damaged goods. Nexera Robotics (Nexera Robotics) is pushing that ceiling to more than 95% by innovating the hardware, not just the software. Their solution? NeuraGrasp®. Instead of rigid fingers or air-dependent suction, NeuraGrasp uses a compliant membrane that conforms to any object. It creates a mechanical lock through friction and wrap-around contact, even on items that leak air or deform. Pressure is distributed by the material itself, meaning no complex force-feedback loops are needed to prevent crushing. It’s single tool can lift heavy payloads, yet pick a single peach without bruising it. A super important part is that no SKU-specific training and no tool changers required. The industry has spent years optimizing robot “brains” while ignoring the hands. Nexera is perfecting the touch to make robots more capable. Congrats Nexera Robotics team! 👏🏼 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

23,230 次观看 • 8 个月前

Autonomous tractor from Netherlands! 🇳🇱 This is a fully autonomous tractor from Dutch company AgXeed, designed to work on fields without any human supervision. It's powered by a diesel engine that drives a generator, which then powers electric motors driving the tracks. The fuel tank allows for 24 hours of continuous operation. (nice!) The rear hitch has an 8-ton lift capacity, the front has 3 tons. It's equipped with electric PTO, hydraulic pump, and all the connections you'd find on a traditional tractor, meaning you can attach standard farm implements. Safety and navigation are handled by a LiDAR sensor on top, ultrasonic and radar sensors, and contact-sensitive bumpers. RTK GNSS receiver provides positioning accuracy down to 2.5 cm, with a module for bidirectional data transmission and RTK correction. Love seeing that so many companies are trying to make farmer's life easier! 🚜 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:59

Autonomous tractor from Netherlands! 🇳🇱 This is a fully autonomous tractor from Dutch company AgXeed, designed to work on fields without any human supervision. It's powered by a diesel engine that drives a generator, which then powers electric motors driving the tracks. The fuel tank allows for 24 hours of continuous operation. (nice!) The rear hitch has an 8-ton lift capacity, the front has 3 tons. It's equipped with electric PTO, hydraulic pump, and all the connections you'd find on a traditional tractor, meaning you can attach standard farm implements. Safety and navigation are handled by a LiDAR sensor on top, ultrasonic and radar sensors, and contact-sensitive bumpers. RTK GNSS receiver provides positioning accuracy down to 2.5 cm, with a module for bidirectional data transmission and RTK correction. Love seeing that so many companies are trying to make farmer's life easier! 🚜 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

131,753 次观看 • 7 个月前

Force-sensing fingers! 🧤 Stanford researchers just released UMI-FT, a handheld data collection platform that puts compact six-axis force/torque sensors on each finger, enabling finger-level wrench measurements alongside RGB, depth, and pose data. Many manipulation tasks require careful force modulation: too little force and the task fails, too much and you cause damage. But commercial force/torque sensors are expensive, bulky, and fragile, which has limited large-scale force-aware policy learning. UMI-FT changes the economics. The platform uses an iPhone for RGB vision, ultrawide RGB, depth, and pose via ARKit, with each finger sensorized using a CoinFT sensor to capture per-finger wrench information during manipulation. This multimodal data trains an adaptive compliance policy that predicts position targets, grasp force, and stiffness for execution on standard compliance controllers. The learned policy runs slowest and generates reference targets, while model-based compliance and force controllers provide delicate 6D compliance control and real-time force modulation. They tested on three contact-rich, force-sensitive tasks: whiteboard wiping (locate eraser, grasp, wipe until clean), skewering zucchini (grasp slice firmly, push onto stick until punctured), and lightbulb insertion (grasp bulb, align bayonet pin with socket slit, insert while overcoming spring force, rotate to light up). The results are clear. Policies without compliance struggle to modulate contact force and trigger safety faults from excessive force. Policies without force sensing fail to grasp unseen objects or resist reaction forces, causing slippage. Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:29

Force-sensing fingers! 🧤 Stanford researchers just released UMI-FT, a handheld data collection platform that puts compact six-axis force/torque sensors on each finger, enabling finger-level wrench measurements alongside RGB, depth, and pose data. Many manipulation tasks require careful force modulation: too little force and the task fails, too much and you cause damage. But commercial force/torque sensors are expensive, bulky, and fragile, which has limited large-scale force-aware policy learning. UMI-FT changes the economics. The platform uses an iPhone for RGB vision, ultrawide RGB, depth, and pose via ARKit, with each finger sensorized using a CoinFT sensor to capture per-finger wrench information during manipulation. This multimodal data trains an adaptive compliance policy that predicts position targets, grasp force, and stiffness for execution on standard compliance controllers. The learned policy runs slowest and generates reference targets, while model-based compliance and force controllers provide delicate 6D compliance control and real-time force modulation. They tested on three contact-rich, force-sensitive tasks: whiteboard wiping (locate eraser, grasp, wipe until clean), skewering zucchini (grasp slice firmly, push onto stick until punctured), and lightbulb insertion (grasp bulb, align bayonet pin with socket slit, insert while overcoming spring force, rotate to light up). The results are clear. Policies without compliance struggle to modulate contact force and trigger safety faults from excessive force. Policies without force sensing fail to grasp unseen objects or resist reaction forces, causing slippage. Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

12,868 次观看 • 7 个月前

Gpt image 2 + Seedance 2.5 on Higgsfield Prompt: 30-SECOND CINEMATIC SHORT Create a 30-second cinematic sequence with the visual discipline of a major feature film. The world is entirely made from paper, cardboard, ink, and delicate handcrafted materials. 00:00–00:05 — THE FIRST FOLD Begin with an extreme macro shot of a blank sheet of textured paper. A single fold slowly forms across its surface. Lens: 100mm macro Camera: Completely static Soft daylight moves across the paper as the fold continues. Cut precisely as the paper reaches its final shape. 00:05–00:11 — THE CITY EMERGES Transition into a 50mm shot. The folded paper begins forming miniature streets and architectural structures. Buildings rise naturally from the surface through carefully constructed paper folds. The camera slowly tracks sideways. Tiny windows catch the light. Nothing feels computer-generated; every surface should have believable paper fibers, folds, shadows, and imperfections. 00:11–00:17 — THE REVEAL Move into a 35mm shot. The camera pulls backward. The small arrangement is revealed as an enormous handcrafted paper city stretching across a large table. Roads connect different districts. Bridges cross miniature rivers. Paper trees move gently from an unseen breeze. 00:17–00:23 — MORNING Transition into a slow overhead crane shot. Warm sunlight gradually spreads across the paper city. Shadows from the buildings become longer and more defined. Tiny paper windows begin reflecting the sunlight. The camera continues rising, revealing the geometric relationship between the streets and buildings. 00:23–00:27 — THE DETAIL Cut to an 85mm close-up. Focus on a tiny paper clock mounted on one building. The clock moves forward by one minute. Rack focus from the clock to the miniature skyline behind it. 00:27–00:30 — FINAL IMAGE Return to an extreme wide shot. The entire paper city sits beneath a large studio window. The morning light completely fills the miniature world. Camera slowly pulls backward until the city becomes a small object within the larger room. Fade to black. CINEMATOGRAPHY Large-format feature-film aesthetic. 100mm macro for texture. 85mm for detail. 50mm for natural perspective. 35mm for environmental shots. Controlled dolly and crane movements. Realistic depth of field. Natural focus transitions. Soft motion blur. Subtle lens imperfections. No artificial camera shake. MATERIAL DIRECTION Every surface must visibly behave like physical paper. Visible paper fibers. Natural folds. Tiny imperfections. Soft cardboard edges. Realistic contact shadows. Believable paper thickness. Natural material deformation. LIGHTING Soft morning daylight. Large window as the primary source. Natural bounce light. Gentle shadows. Subtle warm highlights. No artificial neon effects. No excessive visual effects. CONTINUITY The same paper city throughout the entire sequence. Buildings maintain identical shapes and positions. Roads remain connected. Paper materials remain consistent. No random transformations. No flickering. No duplicated structures. No sudden environmental changes. DIRECTOR’S NOTE Treat this as a miniature feature film, not a visual-effects demonstration. The camera should discover the world gradually. Start intimate. Reveal scale. Return to detail. Finish wide. The audience should feel that they are watching a real handcrafted world photographed with a cinema camera. Photorealistic 4K • tactile materials • feature-film cinematography • sophisticated lighting • realistic miniature photography • cinematic depth • precise camera movement • seamless visual continuity.
0:30

Gpt image 2 + Seedance 2.5 on Higgsfield Prompt: 30-SECOND CINEMATIC SHORT Create a 30-second cinematic sequence with the visual discipline of a major feature film. The world is entirely made from paper, cardboard, ink, and delicate handcrafted materials. 00:00–00:05 — THE FIRST FOLD Begin with an extreme macro shot of a blank sheet of textured paper. A single fold slowly forms across its surface. Lens: 100mm macro Camera: Completely static Soft daylight moves across the paper as the fold continues. Cut precisely as the paper reaches its final shape. 00:05–00:11 — THE CITY EMERGES Transition into a 50mm shot. The folded paper begins forming miniature streets and architectural structures. Buildings rise naturally from the surface through carefully constructed paper folds. The camera slowly tracks sideways. Tiny windows catch the light. Nothing feels computer-generated; every surface should have believable paper fibers, folds, shadows, and imperfections. 00:11–00:17 — THE REVEAL Move into a 35mm shot. The camera pulls backward. The small arrangement is revealed as an enormous handcrafted paper city stretching across a large table. Roads connect different districts. Bridges cross miniature rivers. Paper trees move gently from an unseen breeze. 00:17–00:23 — MORNING Transition into a slow overhead crane shot. Warm sunlight gradually spreads across the paper city. Shadows from the buildings become longer and more defined. Tiny paper windows begin reflecting the sunlight. The camera continues rising, revealing the geometric relationship between the streets and buildings. 00:23–00:27 — THE DETAIL Cut to an 85mm close-up. Focus on a tiny paper clock mounted on one building. The clock moves forward by one minute. Rack focus from the clock to the miniature skyline behind it. 00:27–00:30 — FINAL IMAGE Return to an extreme wide shot. The entire paper city sits beneath a large studio window. The morning light completely fills the miniature world. Camera slowly pulls backward until the city becomes a small object within the larger room. Fade to black. CINEMATOGRAPHY Large-format feature-film aesthetic. 100mm macro for texture. 85mm for detail. 50mm for natural perspective. 35mm for environmental shots. Controlled dolly and crane movements. Realistic depth of field. Natural focus transitions. Soft motion blur. Subtle lens imperfections. No artificial camera shake. MATERIAL DIRECTION Every surface must visibly behave like physical paper. Visible paper fibers. Natural folds. Tiny imperfections. Soft cardboard edges. Realistic contact shadows. Believable paper thickness. Natural material deformation. LIGHTING Soft morning daylight. Large window as the primary source. Natural bounce light. Gentle shadows. Subtle warm highlights. No artificial neon effects. No excessive visual effects. CONTINUITY The same paper city throughout the entire sequence. Buildings maintain identical shapes and positions. Roads remain connected. Paper materials remain consistent. No random transformations. No flickering. No duplicated structures. No sudden environmental changes. DIRECTOR’S NOTE Treat this as a miniature feature film, not a visual-effects demonstration. The camera should discover the world gradually. Start intimate. Reveal scale. Return to detail. Finish wide. The audience should feel that they are watching a real handcrafted world photographed with a cinema camera. Photorealistic 4K • tactile materials • feature-film cinematography • sophisticated lighting • realistic miniature photography • cinematic depth • precise camera movement • seamless visual continuity.

K

22,472 次观看 • 1 个月前

Autonomous tractor from Netherlands! 🇳🇱 Despite all the narrative, we are still building awesome companies in hardware space in Europe. Recently, I've posted about a Chinese autonomous tractors company. So today I wanted to show something that was created in the middle of Europe. This is a fully autonomous tractor from Dutch company AgXeed, designed to work on fields without any human supervision. It's powered by a diesel engine that drives a generator, which then powers electric motors driving the tracks. The fuel tank allows for 24 hours of continuous operation. (nice!) The rear hitch has an 8-ton lift capacity, the front has 3 tons. It's equipped with electric PTO, hydraulic pump, and all the connections you'd find on a traditional tractor, meaning you can attach standard farm implements. (nice! x2) Safety and navigation are handled by a LiDAR sensor on top, ultrasonic and radar sensors, and contact-sensitive bumpers. RTK GNSS receiver provides positioning accuracy down to 2.5 cm. Love seeing that so many companies are trying to make farmer's life easier! What are the others companies building in agri-tech? I want to meet them! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:59

Autonomous tractor from Netherlands! 🇳🇱 Despite all the narrative, we are still building awesome companies in hardware space in Europe. Recently, I've posted about a Chinese autonomous tractors company. So today I wanted to show something that was created in the middle of Europe. This is a fully autonomous tractor from Dutch company AgXeed, designed to work on fields without any human supervision. It's powered by a diesel engine that drives a generator, which then powers electric motors driving the tracks. The fuel tank allows for 24 hours of continuous operation. (nice!) The rear hitch has an 8-ton lift capacity, the front has 3 tons. It's equipped with electric PTO, hydraulic pump, and all the connections you'd find on a traditional tractor, meaning you can attach standard farm implements. (nice! x2) Safety and navigation are handled by a LiDAR sensor on top, ultrasonic and radar sensors, and contact-sensitive bumpers. RTK GNSS receiver provides positioning accuracy down to 2.5 cm. Love seeing that so many companies are trying to make farmer's life easier! What are the others companies building in agri-tech? I want to meet them! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

170,684 次观看 • 2 个月前

Dr. Steven Greer just revealed three images from extraterrestrial contact events. One entity is from the Andromeda Galaxy. Another is a trans-dimensional entity “a billion years more advanced” than humans. And the third entity healed a man’s hearing. Here is the full breakdown of these three ET contact events: “This one is the light being.” “You can see kind of the eyes glowing.” “This was trans-dimensional, so they traverse from one star system to here through other dimensions.” “This particular being is a species probably around a billion years ahead of humans.” The second ET was given the name Bijou. “We saw this beautiful sphere of light come in … and there was a group of ETs talking right outside our circle.” “A language you couldn’t understand.” “I’m looking with night scopes, and there’s nothing there.” “Suddenly, this sphere comes back and illuminates all of our seats with this weird light.” “At that point, Raven took a picture, and in the picture frame was Bijou, floating about 3-4 feet [above] the desert and waving to us.” “He’s from the Andromeda Galaxy.” The third ET was called “the healer.” “This is a species—it’s hard to tell because it’s at night, it’s sort of a triangular head.” “This ET came in first by hearing footsteps behind us, but there was nobody there.” “There was a man to my left named David Marconi … he had a great Nikon camera on a tripod with a remote to take a picture without touching it under low light conditions.” “And at about that moment, there was a beautiful red teardrop object that appeared.” “The instant that that appeared, he took the picture.” “But instead of seeing a ruby red light, the … camera captured the whole person.” “He’s about five feet tall.” “This older gentleman … stayed out there all night.” “Towards the end, he had to go to bed, and he just parenthetically said, could you help me with my hearing?” “When he was a teenager, he had almost total hearing loss.” “And he went to bed and woke up with perfect hearing.” Dr. Steven Greer
5:29

Dr. Steven Greer just revealed three images from extraterrestrial contact events. One entity is from the Andromeda Galaxy. Another is a trans-dimensional entity “a billion years more advanced” than humans. And the third entity healed a man’s hearing. Here is the full breakdown of these three ET contact events: “This one is the light being.” “You can see kind of the eyes glowing.” “This was trans-dimensional, so they traverse from one star system to here through other dimensions.” “This particular being is a species probably around a billion years ahead of humans.” The second ET was given the name Bijou. “We saw this beautiful sphere of light come in … and there was a group of ETs talking right outside our circle.” “A language you couldn’t understand.” “I’m looking with night scopes, and there’s nothing there.” “Suddenly, this sphere comes back and illuminates all of our seats with this weird light.” “At that point, Raven took a picture, and in the picture frame was Bijou, floating about 3-4 feet [above] the desert and waving to us.” “He’s from the Andromeda Galaxy.” The third ET was called “the healer.” “This is a species—it’s hard to tell because it’s at night, it’s sort of a triangular head.” “This ET came in first by hearing footsteps behind us, but there was nobody there.” “There was a man to my left named David Marconi … he had a great Nikon camera on a tripod with a remote to take a picture without touching it under low light conditions.” “And at about that moment, there was a beautiful red teardrop object that appeared.” “The instant that that appeared, he took the picture.” “But instead of seeing a ruby red light, the … camera captured the whole person.” “He’s about five feet tall.” “This older gentleman … stayed out there all night.” “Towards the end, he had to go to bed, and he just parenthetically said, could you help me with my hearing?” “When he was a teenager, he had almost total hearing loss.” “And he went to bed and woke up with perfect hearing.” Dr. Steven Greer

Holden Culotta

132,698 次观看 • 9 个月前

🚨 BREAKING: Big news in the computer vision world! 🎥 Luxonis | Robotic Vision just dropped its new OAK 4 line, and it’s a big upgrade for edge computer vision. Instead of being “just a stereo camera,” OAK 4 is a fully standalone vision computer with 52 TOPS of on-device AI. Models run locally, depth is computed locally, and no external PC or cloud pipeline is required. This is why robotics teams love it: lower latency, lower cost, fewer failure points in the field. The hardware is built for the real-world. IP67, shock-resistant, wide-FOV RGB + stereo pair, IR projection, IMU, audio, and a patent-pending calibration system that keeps depth accurate even when conditions change. But the real move is the platform. With Luxonis Hub, you can deploy models, grab telemetry, push OTA updates, or collect data when performance drifts, all from a unified interface. It turns a single device into an end-to-end edge CV system. Most customers today in robotics are groups who just want something that works: AMRs, bin-picking systems, trailer-loading robots, and ag-tech. 🤖 And they all say the same thing, the appeal isn’t raw TOPS, it’s the all-in-one simplicity that lets them scale without building custom infrastructure. Feels like the direction edge vision has been waiting for: rugged hardware + high-throughput on-device compute + a real management layer. A next step toward “plug-and-deploy” perception for robots. 🔗 Find out more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:12

🚨 BREAKING: Big news in the computer vision world! 🎥 Luxonis | Robotic Vision just dropped its new OAK 4 line, and it’s a big upgrade for edge computer vision. Instead of being “just a stereo camera,” OAK 4 is a fully standalone vision computer with 52 TOPS of on-device AI. Models run locally, depth is computed locally, and no external PC or cloud pipeline is required. This is why robotics teams love it: lower latency, lower cost, fewer failure points in the field. The hardware is built for the real-world. IP67, shock-resistant, wide-FOV RGB + stereo pair, IR projection, IMU, audio, and a patent-pending calibration system that keeps depth accurate even when conditions change. But the real move is the platform. With Luxonis Hub, you can deploy models, grab telemetry, push OTA updates, or collect data when performance drifts, all from a unified interface. It turns a single device into an end-to-end edge CV system. Most customers today in robotics are groups who just want something that works: AMRs, bin-picking systems, trailer-loading robots, and ag-tech. 🤖 And they all say the same thing, the appeal isn’t raw TOPS, it’s the all-in-one simplicity that lets them scale without building custom infrastructure. Feels like the direction edge vision has been waiting for: rugged hardware + high-throughput on-device compute + a real management layer. A next step toward “plug-and-deploy” perception for robots. 🔗 Find out more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

41,955 次观看 • 9 个月前

Thought experiment for people regarding the concept of Absolute Time. Absolute means NO EXCEPTIONS. We are NOT looking back in time when we see galaxies and stars. We are NOT looking back in time 1.25 seconds when we see the moon. We're Not looking back in time 3 minutes when we see Mars. We're Not looking back in time 8.33 minutes when we see the Sun. If an astronaut lit a matchstick on Mars, the distant observer would see predator heat waves at the top of the matchstick in real-time while the matchstick started to blacken towards the astronaut's fingers. But there would be no orange light from that chemical reaction or flame seen. If the matchstick burnt out before the packet of orange light from that particular chemical reaction made it to Earth… then the distant observer would just see a disembodied orange flash of light with a lag. But the Earth-bound observer would never actually see the flame associated with the orange wavelength it put out. The wavelength of color emitted by the flame is not a recording of reality. If the orange light is 650 Thz, that means there are 650 trillion individual and separate bursts of orange light pulsating in 1 second. NOT that "the same light" is "waving" 650 trillion times a second and that light is a recording of reality. There are 650 trillion brand-new lights flashing in 1 second. Each Hertz is a brand-new emission and packet unto itself. Time does not re-emit 650 trillion times a second, nor is a photon a particle or a packet of reality acting like the frame of a reel of footage. The orange light that already left the flame will continue to propagate out until it meets the electrons making up the distant observer. But remember, it is never the same light within that packet. And the electrons making up the observer will absorb all of those different lights within that packet and re-emit brand-new lights that produce the product of illumination. A photon is a massless packet of energy, spherically expanding at the rate of c from the source it comes from. Illumination is the result of that energy being absorbed and RE-emitted by any other electrons that did not output that primary packet. But time is not associated with the same light. It's never the same light and time does not re-emit between packets. Time is not relative. Do NOT allow your mind Carte Blanche to think along the lines of relative time. DROP IT for this thought experiment. We are thinking along the lines of ABSOLUTE TIME/ Galilean VARIANCE. What does absolute time mean? It means time is constant in ALL frames of reference. Any frequency shifts between atomic clocks IS a literal change in the speed of light. But relativity forbids the speed of light from Ever changing, so relativity (Lorentz INVARIANCE) invented the concept of the 4th dimension and space-time. Because Relativity doesn't allow light speed to shift.. they interpret the same frequency shift between atomic clocks as being conclusive, irrefutable evidence that time and reality itself shifts. Rather than say it's just that ONE clock being affected by Earth's gravity and the oscillation of that ONE cesium clock is being altered compared to other clocks. People don't realize that in relativity... time dilation is SYMMETRICAL! Not even most relativists know their own theory. If Clock A and Clock B are synchronized and together... and then they accelerate apart... Einstein said Clock A would see Clock B as being slower itself. And Clock B would view Clock A as slower than ITself. NOT that only one observer would see back in time and the other would see forward or not at all. No... BOTH observers are supposed to see each other BACK in time relative to each other according to Einstein and the consequence of the math. It doesn't make ANY sense!! But relativists toss that part of time dilation under their 4th dimensional rug. The rug is woven from threads of gold that only the smart people can see apparently. So... here's a thought experiment/ Gedankenexperiment for absolute time. NO paradoxes... no nonsense or confusion. What do you see in a club? You see disco lights changing and a color wheel effect. You see everyone in REAL-TIME. Not just because they are so close to the lights. Light is not a recording of reality. Light is simply color. Illuminating reality in a certain color. Just because you can't see something yet or the color hasn't reached you doesn't mean it isn't happening in real-time. Zoom out and look at the people in the club through binoculars a mile away. You are still looking at them in real-time. The colors are shifting with a delay in the club. Now look at the club through a telescope from the surface of the moon. You're still looking at the people in real-time. But now there is a lag of the colors shifting by 1.25 seconds because it takes light 1.25 seconds to travel from the Earth to the moon. Now look at the club through an even bigger telescope from the surface of Mars. You're still looking at the people in real-time, but now there is a lag of the colors shifting by 3 minutes because it takes light 3 minutes to travel from Earth to Mars. fr you are a third hypothetical observer zoomed out and watching the person from Mars AND seeing the club on Earth... you're still seeing everything happening in real-time as well. But you see the colored wavepackets traveling with a delay to the observer on Mars. And the disco color wheel effect is just lagging before it affects the observer from Mars and the observer on the Moon. It doesn't matter how far you zoom out! There is only now to observe. But there WILL be a lag and delay for a given color/wavepacket to reach distant observers. But all points in space are already illuminated by other starlight. So if you're too far away... you'll just see the club in real-time but without any disco lights. Just see them in white light because that's the source already illuminating the scene. This is where it gets the most difficult because people think light itself is a recording of reality that replays a scene from where it came from. But another punch in the gut of relativity is that in order to see REFLECTED light... that would require a TWO-WAY transit. Which means the light would have to be sent out... record the scene of a distant event and then RETURN in order to REplay the event. Which means it would take 6 minutes to see the club from Mars by that logic and 2.5 seconds to see the club from the moon by that logic. The difference in tick rates between clocks has NOTHING to do with time dilation. Wait.. what?! How can that be? Because a clock itself doesn't represent all of time and reality. The difference between clocks is a "Transverse relative time shift." If the only light in the universe was from the lighter… the only way a distant observer would be able to see the astronaut on Mars is if the astronaut held down the button of the lighter for longer than 3 minutes. It takes 3 minutes for the packet of light to travel from Mars to Earth. The distant observer would never be able to see Mars, unless the light stretched from Mars all the way to Earth, and illuminated the path between Mars and Earth. And that would take 3 minutes for the boundary and first part of that wave packet to reach Earth. But if the distant observer wanted to observe Mars in real-time… then that packet of light would have to be on for longer than 3 minutes. So if the astronaut on Mars flicked the lighter at 12:00, the distant observer on Earth wouldn't see anything until 12:03. If the light was on for 3 minutes and 10 seconds, and the distant observer is 3 light minutes away... the distant observer would be able to see Mars in real-time for 10 seconds starting at 12:03. In the 20 second video clip of the rotating planet with shifting colors... just imagine you're a couple light minutes or light seconds away. You're still seeing the planet spin in real-time. But there is simply a delay of switching colors. You are Not looking back in time. It's just a color wheel effect from a great distance away. That's it!! There are many major flaws which tarnish people's critical thinking on this thought experiment. 1. Light does NOT ricochet or bounce. Electrons absorb, emit and re-emit ALL electromagnetic radiation. The electrons, making up the glass of a mirror will absorb the incoming light and re-emit a brand-new light as an equal and opposite reaction. NOT that "the same light" bounced off the mirror and continued on within the same frame of reference.  2. Light is NOT a recording of reality. 3. It is NOT the same light being observed from a source. It's never the same light. Each Hertz is a new light. Think of half of a sine wave as being its own emission. On an oscilloscope, a stimulus generates a peak which initiates an equal and opposite trough. Or vice versa. That repeating process is not "the same light." If you cut and paste that sine wave to another sine wave, the boundary between the waves will always be in phase. (thus refraction) 4. The speed of light is NOT the same in ALL frames of reference, no matter what. 5. Light is NOT made of particles and waves that flip back-and-forth. 6. Time is NOT connected to the speed of light. Time remains constant regardless if you accelerate towards or away from a clock. The clocks themselves will indeed be off! But that's an affect on the electrons making up the atomic clock affecting the oscillation of the isotope which is ASSUMED to ALWAYS be the same. So ANY difference in oscillation is treated as a literal distortion in space-time. 7. Space and time are not linked at all. That is a mathematical artifice under Lorentz invariance. Time is relative under Lorentz invariance. But time is absolute under Galilean VARIANCE. When people hear or see the word GALILEAN... their brains switch to auto pilot to "aether theory" and "classical physics." What people don't realize is that aether theory used Galilean INVARIANCE. Rather than space-time being used as an excuse to explain the difference in frequencies between atomic clocks... it was originally aether being used as an excuse to keep the speed of light the same. But None of those things are valid! We are thinking under the framework of Galilean VARIANCE! Completely new revolutionary model returning to Isaac Newton and Classical physics but without the corpuscular theory (particle) theory for light... without a particle-wave duality... without an aether... without a 4th dimension. Just good ol elementary math within 3D Euclidean space. Everything happening in real-time, right now. This reformulation of Galilean transformations was offered by Dr. Edward Dowdye in 1991 called The Extinction Shift Principle. Effectivity as opposed to Relativity. If light required a two-way transit, in order to travel out… Record an event, and travel back to replay the recording…  then it would take 6 minutes to see the astronaut on Mars instead of 3.  Remember… They say the SAME light is a recording, and must travel there and travel back in order to REplay. Relativity says time is relative: t' ≠ t time is NOT the same from all frames of reference) and t = tₒ / √1 - v²/c² but Galilean Variance says time is not relative: t' = t (Time IS the same from all frames of reference) and τ_tr = τₒ / √1 - v²/c² Relativity says c' = c (The velocity of light is the same from all frames of reference) but Galilean variance says c' ≠ c (The velocity of light is NOT the same from all frames of reference) and that c' = c ± v (The velocity of light in one frame of reference is dependent upon the velocity of the light source relative to an observer in another frame of reference. Whether that light source is approaching or receding away from that observer) Relativity says E = mc² (Energy and mass are universally equivalent and literally interchangeable under All conditions.) but Galilean variance says E = Δmc² = mₒc² (Energy changes in a system are the result from changes in mass. mₒ represents the original mass. Mass and energy do not literally interchange. There is an equivalence, not an interchange.) The Rebirth of Classical Physics: Time, Light & Gravity Star light and illumination: Flicking a Lighter on Mars visual example:
0:21

Thought experiment for people regarding the concept of Absolute Time. Absolute means NO EXCEPTIONS. We are NOT looking back in time when we see galaxies and stars. We are NOT looking back in time 1.25 seconds when we see the moon. We're Not looking back in time 3 minutes when we see Mars. We're Not looking back in time 8.33 minutes when we see the Sun. If an astronaut lit a matchstick on Mars, the distant observer would see predator heat waves at the top of the matchstick in real-time while the matchstick started to blacken towards the astronaut's fingers. But there would be no orange light from that chemical reaction or flame seen. If the matchstick burnt out before the packet of orange light from that particular chemical reaction made it to Earth… then the distant observer would just see a disembodied orange flash of light with a lag. But the Earth-bound observer would never actually see the flame associated with the orange wavelength it put out. The wavelength of color emitted by the flame is not a recording of reality. If the orange light is 650 Thz, that means there are 650 trillion individual and separate bursts of orange light pulsating in 1 second. NOT that "the same light" is "waving" 650 trillion times a second and that light is a recording of reality. There are 650 trillion brand-new lights flashing in 1 second. Each Hertz is a brand-new emission and packet unto itself. Time does not re-emit 650 trillion times a second, nor is a photon a particle or a packet of reality acting like the frame of a reel of footage. The orange light that already left the flame will continue to propagate out until it meets the electrons making up the distant observer. But remember, it is never the same light within that packet. And the electrons making up the observer will absorb all of those different lights within that packet and re-emit brand-new lights that produce the product of illumination. A photon is a massless packet of energy, spherically expanding at the rate of c from the source it comes from. Illumination is the result of that energy being absorbed and RE-emitted by any other electrons that did not output that primary packet. But time is not associated with the same light. It's never the same light and time does not re-emit between packets. Time is not relative. Do NOT allow your mind Carte Blanche to think along the lines of relative time. DROP IT for this thought experiment. We are thinking along the lines of ABSOLUTE TIME/ Galilean VARIANCE. What does absolute time mean? It means time is constant in ALL frames of reference. Any frequency shifts between atomic clocks IS a literal change in the speed of light. But relativity forbids the speed of light from Ever changing, so relativity (Lorentz INVARIANCE) invented the concept of the 4th dimension and space-time. Because Relativity doesn't allow light speed to shift.. they interpret the same frequency shift between atomic clocks as being conclusive, irrefutable evidence that time and reality itself shifts. Rather than say it's just that ONE clock being affected by Earth's gravity and the oscillation of that ONE cesium clock is being altered compared to other clocks. People don't realize that in relativity... time dilation is SYMMETRICAL! Not even most relativists know their own theory. If Clock A and Clock B are synchronized and together... and then they accelerate apart... Einstein said Clock A would see Clock B as being slower itself. And Clock B would view Clock A as slower than ITself. NOT that only one observer would see back in time and the other would see forward or not at all. No... BOTH observers are supposed to see each other BACK in time relative to each other according to Einstein and the consequence of the math. It doesn't make ANY sense!! But relativists toss that part of time dilation under their 4th dimensional rug. The rug is woven from threads of gold that only the smart people can see apparently. So... here's a thought experiment/ Gedankenexperiment for absolute time. NO paradoxes... no nonsense or confusion. What do you see in a club? You see disco lights changing and a color wheel effect. You see everyone in REAL-TIME. Not just because they are so close to the lights. Light is not a recording of reality. Light is simply color. Illuminating reality in a certain color. Just because you can't see something yet or the color hasn't reached you doesn't mean it isn't happening in real-time. Zoom out and look at the people in the club through binoculars a mile away. You are still looking at them in real-time. The colors are shifting with a delay in the club. Now look at the club through a telescope from the surface of the moon. You're still looking at the people in real-time. But now there is a lag of the colors shifting by 1.25 seconds because it takes light 1.25 seconds to travel from the Earth to the moon. Now look at the club through an even bigger telescope from the surface of Mars. You're still looking at the people in real-time, but now there is a lag of the colors shifting by 3 minutes because it takes light 3 minutes to travel from Earth to Mars. fr you are a third hypothetical observer zoomed out and watching the person from Mars AND seeing the club on Earth... you're still seeing everything happening in real-time as well. But you see the colored wavepackets traveling with a delay to the observer on Mars. And the disco color wheel effect is just lagging before it affects the observer from Mars and the observer on the Moon. It doesn't matter how far you zoom out! There is only now to observe. But there WILL be a lag and delay for a given color/wavepacket to reach distant observers. But all points in space are already illuminated by other starlight. So if you're too far away... you'll just see the club in real-time but without any disco lights. Just see them in white light because that's the source already illuminating the scene. This is where it gets the most difficult because people think light itself is a recording of reality that replays a scene from where it came from. But another punch in the gut of relativity is that in order to see REFLECTED light... that would require a TWO-WAY transit. Which means the light would have to be sent out... record the scene of a distant event and then RETURN in order to REplay the event. Which means it would take 6 minutes to see the club from Mars by that logic and 2.5 seconds to see the club from the moon by that logic. The difference in tick rates between clocks has NOTHING to do with time dilation. Wait.. what?! How can that be? Because a clock itself doesn't represent all of time and reality. The difference between clocks is a "Transverse relative time shift." If the only light in the universe was from the lighter… the only way a distant observer would be able to see the astronaut on Mars is if the astronaut held down the button of the lighter for longer than 3 minutes. It takes 3 minutes for the packet of light to travel from Mars to Earth. The distant observer would never be able to see Mars, unless the light stretched from Mars all the way to Earth, and illuminated the path between Mars and Earth. And that would take 3 minutes for the boundary and first part of that wave packet to reach Earth. But if the distant observer wanted to observe Mars in real-time… then that packet of light would have to be on for longer than 3 minutes. So if the astronaut on Mars flicked the lighter at 12:00, the distant observer on Earth wouldn't see anything until 12:03. If the light was on for 3 minutes and 10 seconds, and the distant observer is 3 light minutes away... the distant observer would be able to see Mars in real-time for 10 seconds starting at 12:03. In the 20 second video clip of the rotating planet with shifting colors... just imagine you're a couple light minutes or light seconds away. You're still seeing the planet spin in real-time. But there is simply a delay of switching colors. You are Not looking back in time. It's just a color wheel effect from a great distance away. That's it!! There are many major flaws which tarnish people's critical thinking on this thought experiment. 1. Light does NOT ricochet or bounce. Electrons absorb, emit and re-emit ALL electromagnetic radiation. The electrons, making up the glass of a mirror will absorb the incoming light and re-emit a brand-new light as an equal and opposite reaction. NOT that "the same light" bounced off the mirror and continued on within the same frame of reference.  2. Light is NOT a recording of reality. 3. It is NOT the same light being observed from a source. It's never the same light. Each Hertz is a new light. Think of half of a sine wave as being its own emission. On an oscilloscope, a stimulus generates a peak which initiates an equal and opposite trough. Or vice versa. That repeating process is not "the same light." If you cut and paste that sine wave to another sine wave, the boundary between the waves will always be in phase. (thus refraction) 4. The speed of light is NOT the same in ALL frames of reference, no matter what. 5. Light is NOT made of particles and waves that flip back-and-forth. 6. Time is NOT connected to the speed of light. Time remains constant regardless if you accelerate towards or away from a clock. The clocks themselves will indeed be off! But that's an affect on the electrons making up the atomic clock affecting the oscillation of the isotope which is ASSUMED to ALWAYS be the same. So ANY difference in oscillation is treated as a literal distortion in space-time. 7. Space and time are not linked at all. That is a mathematical artifice under Lorentz invariance. Time is relative under Lorentz invariance. But time is absolute under Galilean VARIANCE. When people hear or see the word GALILEAN... their brains switch to auto pilot to "aether theory" and "classical physics." What people don't realize is that aether theory used Galilean INVARIANCE. Rather than space-time being used as an excuse to explain the difference in frequencies between atomic clocks... it was originally aether being used as an excuse to keep the speed of light the same. But None of those things are valid! We are thinking under the framework of Galilean VARIANCE! Completely new revolutionary model returning to Isaac Newton and Classical physics but without the corpuscular theory (particle) theory for light... without a particle-wave duality... without an aether... without a 4th dimension. Just good ol elementary math within 3D Euclidean space. Everything happening in real-time, right now. This reformulation of Galilean transformations was offered by Dr. Edward Dowdye in 1991 called The Extinction Shift Principle. Effectivity as opposed to Relativity. If light required a two-way transit, in order to travel out… Record an event, and travel back to replay the recording…  then it would take 6 minutes to see the astronaut on Mars instead of 3.  Remember… They say the SAME light is a recording, and must travel there and travel back in order to REplay. Relativity says time is relative: t' ≠ t time is NOT the same from all frames of reference) and t = tₒ / √1 - v²/c² but Galilean Variance says time is not relative: t' = t (Time IS the same from all frames of reference) and τ_tr = τₒ / √1 - v²/c² Relativity says c' = c (The velocity of light is the same from all frames of reference) but Galilean variance says c' ≠ c (The velocity of light is NOT the same from all frames of reference) and that c' = c ± v (The velocity of light in one frame of reference is dependent upon the velocity of the light source relative to an observer in another frame of reference. Whether that light source is approaching or receding away from that observer) Relativity says E = mc² (Energy and mass are universally equivalent and literally interchangeable under All conditions.) but Galilean variance says E = Δmc² = mₒc² (Energy changes in a system are the result from changes in mass. mₒ represents the original mass. Mass and energy do not literally interchange. There is an equivalence, not an interchange.) The Rebirth of Classical Physics: Time, Light & Gravity Star light and illumination: Flicking a Lighter on Mars visual example:

TheRealVerbz (Jason Verbelli)

24,471 次观看 • 2 年前

⚡ RECIPE TO PROTECT YOURSELF IF YOU WORK IN AN OFFICE 1️⃣ 🌞Morning Sunlight = Non-negotiable If your job starts after sunrise, spend 10–15 minutes outside looking at the sky. Doesn’t matter if it’s raining, snowing, or cloudy; infrared light still passes through and starts your circadian clock through the eyes. No sunglasses, no screens. Let natural UV + IR set your biological rhythm. 😬 but If you start before sunrise, buy a near-infrared lamp and turn it on while getting ready. It’s the next-best option. 2️⃣ 🔵Blue-Blocking Glasses = A Must Wear amber lenses under office LEDs. After 4 p.m., switch to red lenses if still under artificial light. 3️⃣🥋Natural Clothing for Protection Choose natural fabrics like wool, cotton, or linen. They don’t hold static charge like synthetics and let your body breathe. Indoors, pick dark colors (black, navy, charcoal) to block excessive artificial light. Remember: Hair, hand, and neck. EMF-blocking fabrics are even better if you can afford them. 4️⃣🆘Add Infrared Support Keep a near-infrared therapy light on your desk or near your computer. If you can’t afford it, use small red bulbs, halogen, or incandescent lamps instead to replace missing infrared from LEDs. 5️⃣💻Screen Filters & Settings On your computer, activate Night Shift, f.lux, or Iris; set color temperature around 1800–2000 K (red/orange tone) if can go bellow better.. if you can bring your own, buy one of those pc with Build-in-blue-light-filters.(if you can afford) If you can not buy a blue-light filter film for your monitor. Reduce brightness slightly; increase contrast for comfort. 6️⃣🪑Reposition Your Desk Sit near a window and open it if possible. Avoid sitting directly under fluorescent or LED ceiling lights. If coworkers ask why you opened the window, say it’s to “circulate the stagnant air.” 😉 Remember: even if the window is far from you, cracking it open still helps. The Lid Experiment shows that infrared light passes through even the smallest gaps, meaning that open window benefits everyone in the office; including you. ☀️ 7️⃣🚬Light Breaks…Your “Fake Smoke” Trick Every 90 minutes, go outside for 3–5 minutes of natural light. Hold a real cigarette, and fake it... you’re feeding your mitochondria, not nicotine. 8️⃣🌳Ground at Lunch Step outside and find the biggest tree near your office. Touch it with bare hands or feet for one minute; trees discharge harmful stray currents from the ground. Even one minute of grounding stabilizes your body’s electrical charge. 9️⃣💦Hydrate Intelligently Drink mineral or spring water, not distilled. Add a pinch of sea salt and a few drops of local lemon juice to improve structure and conductivity. (Check my page for the big crystal water pitcher setup to structure your water naturally.) 🔟💡Reduce Reflections & Glare Use matte screen protectors and avoid glossy surfaces; glare amplifies blue frequencies. 🚫Keep Tech Off the Body Never rest a laptop on your lap. Keep phones and routers off or away when not in use. 🌅Sunset Reset After work, go outside for sunset light exposure. It tells your brain that the day is ending and resets your circadian rhythm. ⚫️🏴‍☠️Dark Office Cleanup If you are alone and must stay late, use red light only. If note, cover you body head to toe… Avoid bright screens and overhead LEDs after dark…., 🍱 🧬 Feed the Mitochondrial Antenna Seafood = DHA rebuilds light-conducting membranes. Magnesium & sulfur-rich foods (eggs, onions, garlic) = support redox cycling….
7:39

⚡ RECIPE TO PROTECT YOURSELF IF YOU WORK IN AN OFFICE 1️⃣ 🌞Morning Sunlight = Non-negotiable If your job starts after sunrise, spend 10–15 minutes outside looking at the sky. Doesn’t matter if it’s raining, snowing, or cloudy; infrared light still passes through and starts your circadian clock through the eyes. No sunglasses, no screens. Let natural UV + IR set your biological rhythm. 😬 but If you start before sunrise, buy a near-infrared lamp and turn it on while getting ready. It’s the next-best option. 2️⃣ 🔵Blue-Blocking Glasses = A Must Wear amber lenses under office LEDs. After 4 p.m., switch to red lenses if still under artificial light. 3️⃣🥋Natural Clothing for Protection Choose natural fabrics like wool, cotton, or linen. They don’t hold static charge like synthetics and let your body breathe. Indoors, pick dark colors (black, navy, charcoal) to block excessive artificial light. Remember: Hair, hand, and neck. EMF-blocking fabrics are even better if you can afford them. 4️⃣🆘Add Infrared Support Keep a near-infrared therapy light on your desk or near your computer. If you can’t afford it, use small red bulbs, halogen, or incandescent lamps instead to replace missing infrared from LEDs. 5️⃣💻Screen Filters & Settings On your computer, activate Night Shift, f.lux, or Iris; set color temperature around 1800–2000 K (red/orange tone) if can go bellow better.. if you can bring your own, buy one of those pc with Build-in-blue-light-filters.(if you can afford) If you can not buy a blue-light filter film for your monitor. Reduce brightness slightly; increase contrast for comfort. 6️⃣🪑Reposition Your Desk Sit near a window and open it if possible. Avoid sitting directly under fluorescent or LED ceiling lights. If coworkers ask why you opened the window, say it’s to “circulate the stagnant air.” 😉 Remember: even if the window is far from you, cracking it open still helps. The Lid Experiment shows that infrared light passes through even the smallest gaps, meaning that open window benefits everyone in the office; including you. ☀️ 7️⃣🚬Light Breaks…Your “Fake Smoke” Trick Every 90 minutes, go outside for 3–5 minutes of natural light. Hold a real cigarette, and fake it... you’re feeding your mitochondria, not nicotine. 8️⃣🌳Ground at Lunch Step outside and find the biggest tree near your office. Touch it with bare hands or feet for one minute; trees discharge harmful stray currents from the ground. Even one minute of grounding stabilizes your body’s electrical charge. 9️⃣💦Hydrate Intelligently Drink mineral or spring water, not distilled. Add a pinch of sea salt and a few drops of local lemon juice to improve structure and conductivity. (Check my page for the big crystal water pitcher setup to structure your water naturally.) 🔟💡Reduce Reflections & Glare Use matte screen protectors and avoid glossy surfaces; glare amplifies blue frequencies. 🚫Keep Tech Off the Body Never rest a laptop on your lap. Keep phones and routers off or away when not in use. 🌅Sunset Reset After work, go outside for sunset light exposure. It tells your brain that the day is ending and resets your circadian rhythm. ⚫️🏴‍☠️Dark Office Cleanup If you are alone and must stay late, use red light only. If note, cover you body head to toe… Avoid bright screens and overhead LEDs after dark…., 🍱 🧬 Feed the Mitochondrial Antenna Seafood = DHA rebuilds light-conducting membranes. Magnesium & sulfur-rich foods (eggs, onions, garlic) = support redox cycling….

Light Me Away ☀️

14,918 次观看 • 10 个月前

After Days of Wandering, the Blind Dog Finally Found a Lap to Rest Its Head Against 🐶❤️‍🩹 A man was walking along the road when he came across an abandoned stray dog. The dog had once had an owner, but had later been abandoned and left to wander on its own. What caught the man’s attention most was that the dog could not see. Moved by its circumstances, he decided to take it home. As soon as the dog was lifted into his arms, it did something that immediately drew attention. Instead of trying to escape from the arms of a complete stranger, it pressed its body against the man, rested its head against his chest and remained still. A dog that had spent time wandering alone was able to accept physical contact from someone it had never met before. Why could a dog that would normally need to remain alert to its surroundings show such trust so quickly? The answer may begin with the way a visually impaired dog receives information about the world around it. When vision is unavailable, dogs can still rely on their sense of smell, hearing and touch to understand their surroundings. These senses do not simply replace vision, but can become more important sources of information for navigation, recognising people and interacting with other animals. For this dog, the man could not be recognised through an image, but through a combination of different signals. His scent could indicate his presence, sounds could reveal where he was and how he was moving, while direct physical contact could provide further information about distance and bodily movement. When held in the man’s arms, the dog could also feel his body temperature, breathing and subtle movements. Its decision to rest against his chest therefore does not necessarily need to be understood simply as an attempt to seek protection. Physical contact also gave the dog an opportunity to gather more information about the person beside it while vision was unavailable. However, a single encounter is not enough to create familiarity. For a dog that has spent time wandering, what matters more is the stability of the experiences that follow. While living on the streets, the dog’s surroundings may have changed constantly. The scents, sounds, places and people it encountered would not always have been the same. Once brought into a home, those signals could begin to become more stable. Food and water might appear at familiar times, the scent of its carer would return each day, and the sounds within the house could gradually become familiar parts of its environment. For a dog that cannot see, this stability can be particularly important. It can learn to remember a space through scents, sounds, the sensation beneath its paws and the positions of objects it regularly encounters. Through repeated experiences, a place that was initially unfamiliar can gradually become an environment in which the dog knows how to find its way. Something similar happens as the dog becomes familiar with people. Someone who is initially recognised through scent, voice and physical contact can gradually become a familiar presence when those signals occur consistently in situations that do not cause distress. This is an important part of the process of adaptation. The dog does not need to immediately understand who the person in front of it is or what the new environment will be like. Through repeated experiences, it can gradually learn what tends to happen, which sounds are familiar, which scents are associated with its carer and which areas of the house it can move around with confidence. This ability to adapt can also be seen when the dog interacts with other dogs. Canine communication does not depend solely on eye contact. Scent, sound, distance and physical contact all contribute to social interaction. Therefore, even without vision, a dog can still recognise the presence of another individual and adjust its behaviour according to signals that it can hear, smell or feel. A dog approaching from nearby may be detected through its footsteps or scent before physical contact occurs. If the approach is slow and does not create a sudden reaction, the visually impaired dog has more time to recognise the individual coming towards it. Gentle touches and a consistent distance can also provide additional information that helps the dog adjust its response during the encounter. This shows that losing vision does not mean losing the ability to interact with the social environment. The dog can still recognise the individuals around it, although it may rely more heavily on other sources of information and on experience gained from previous encounters. If we want to help a visually impaired dog adapt to a new life, one of the most important things is to provide an environment that is stable and predictable. First, it is helpful to avoid frequently changing the position of important objects around the home. Food and water bowls, resting areas and places the dog regularly visits should remain in familiar positions whenever possible. When the layout changes very little, the dog can rely on memory alongside its remaining senses to develop its own way of finding its way around. Unexpected obstacles should also be minimised, particularly along routes the dog uses regularly. If furniture needs to be moved or a new object is introduced into its living space, giving the dog time to become familiar with the new arrangement can help reduce the risk of collisions. The way people approach the dog is also important. A dog that cannot see may not know that someone is approaching unless there is a familiar sound or other signal. Calling its name or making a gentle sound before touching it can therefore help the dog realise that someone is nearby rather than being startled by unexpected contact. When taking the dog outdoors, safety requires even greater attention. It cannot use vision to detect changes in its surroundings in the same way as a sighted dog, so it needs appropriate supervision and areas that suit its ability to navigate. At the same time, helping does not mean doing everything for the dog. Once it becomes familiar with its surroundings, it needs opportunities to move around, explore and remember the space in its own way. A stable environment allows it to make active use of its remaining abilities rather than becoming entirely dependent on people. This may be the most important point in the story. A visually impaired dog does not need people to replace everything it has lost. What it needs is an environment in which its remaining senses can be used effectively, important signals remain consistent and people give it enough time to learn how to live in its new surroundings. For the dog that this man brought home, the journey may have begun with something as small as resting its head against him. But for that moment to develop into a stable life, what matters is not simply one act of kindness, but also patience, consistency and an environment suited to the way the dog experiences the world.
0:59

After Days of Wandering, the Blind Dog Finally Found a Lap to Rest Its Head Against 🐶❤️‍🩹 A man was walking along the road when he came across an abandoned stray dog. The dog had once had an owner, but had later been abandoned and left to wander on its own. What caught the man’s attention most was that the dog could not see. Moved by its circumstances, he decided to take it home. As soon as the dog was lifted into his arms, it did something that immediately drew attention. Instead of trying to escape from the arms of a complete stranger, it pressed its body against the man, rested its head against his chest and remained still. A dog that had spent time wandering alone was able to accept physical contact from someone it had never met before. Why could a dog that would normally need to remain alert to its surroundings show such trust so quickly? The answer may begin with the way a visually impaired dog receives information about the world around it. When vision is unavailable, dogs can still rely on their sense of smell, hearing and touch to understand their surroundings. These senses do not simply replace vision, but can become more important sources of information for navigation, recognising people and interacting with other animals. For this dog, the man could not be recognised through an image, but through a combination of different signals. His scent could indicate his presence, sounds could reveal where he was and how he was moving, while direct physical contact could provide further information about distance and bodily movement. When held in the man’s arms, the dog could also feel his body temperature, breathing and subtle movements. Its decision to rest against his chest therefore does not necessarily need to be understood simply as an attempt to seek protection. Physical contact also gave the dog an opportunity to gather more information about the person beside it while vision was unavailable. However, a single encounter is not enough to create familiarity. For a dog that has spent time wandering, what matters more is the stability of the experiences that follow. While living on the streets, the dog’s surroundings may have changed constantly. The scents, sounds, places and people it encountered would not always have been the same. Once brought into a home, those signals could begin to become more stable. Food and water might appear at familiar times, the scent of its carer would return each day, and the sounds within the house could gradually become familiar parts of its environment. For a dog that cannot see, this stability can be particularly important. It can learn to remember a space through scents, sounds, the sensation beneath its paws and the positions of objects it regularly encounters. Through repeated experiences, a place that was initially unfamiliar can gradually become an environment in which the dog knows how to find its way. Something similar happens as the dog becomes familiar with people. Someone who is initially recognised through scent, voice and physical contact can gradually become a familiar presence when those signals occur consistently in situations that do not cause distress. This is an important part of the process of adaptation. The dog does not need to immediately understand who the person in front of it is or what the new environment will be like. Through repeated experiences, it can gradually learn what tends to happen, which sounds are familiar, which scents are associated with its carer and which areas of the house it can move around with confidence. This ability to adapt can also be seen when the dog interacts with other dogs. Canine communication does not depend solely on eye contact. Scent, sound, distance and physical contact all contribute to social interaction. Therefore, even without vision, a dog can still recognise the presence of another individual and adjust its behaviour according to signals that it can hear, smell or feel. A dog approaching from nearby may be detected through its footsteps or scent before physical contact occurs. If the approach is slow and does not create a sudden reaction, the visually impaired dog has more time to recognise the individual coming towards it. Gentle touches and a consistent distance can also provide additional information that helps the dog adjust its response during the encounter. This shows that losing vision does not mean losing the ability to interact with the social environment. The dog can still recognise the individuals around it, although it may rely more heavily on other sources of information and on experience gained from previous encounters. If we want to help a visually impaired dog adapt to a new life, one of the most important things is to provide an environment that is stable and predictable. First, it is helpful to avoid frequently changing the position of important objects around the home. Food and water bowls, resting areas and places the dog regularly visits should remain in familiar positions whenever possible. When the layout changes very little, the dog can rely on memory alongside its remaining senses to develop its own way of finding its way around. Unexpected obstacles should also be minimised, particularly along routes the dog uses regularly. If furniture needs to be moved or a new object is introduced into its living space, giving the dog time to become familiar with the new arrangement can help reduce the risk of collisions. The way people approach the dog is also important. A dog that cannot see may not know that someone is approaching unless there is a familiar sound or other signal. Calling its name or making a gentle sound before touching it can therefore help the dog realise that someone is nearby rather than being startled by unexpected contact. When taking the dog outdoors, safety requires even greater attention. It cannot use vision to detect changes in its surroundings in the same way as a sighted dog, so it needs appropriate supervision and areas that suit its ability to navigate. At the same time, helping does not mean doing everything for the dog. Once it becomes familiar with its surroundings, it needs opportunities to move around, explore and remember the space in its own way. A stable environment allows it to make active use of its remaining abilities rather than becoming entirely dependent on people. This may be the most important point in the story. A visually impaired dog does not need people to replace everything it has lost. What it needs is an environment in which its remaining senses can be used effectively, important signals remain consistent and people give it enough time to learn how to live in its new surroundings. For the dog that this man brought home, the journey may have begun with something as small as resting its head against him. But for that moment to develop into a stable life, what matters is not simply one act of kindness, but also patience, consistency and an environment suited to the way the dog experiences the world.

Beauty of music and nature 🌺🌺

15,806 次观看 • 19 天前

When ant hills start cropping up all over the yard, the knee-jerk reaction for many is to sprint to the hardware store for a jug of heavy-duty, synthetic pesticide. But before flooding the lawn with harsh chemicals that can affect pets, helpful pollinators, and the local soil, it pays to look inside the kitchen pantry. A remarkably effective, non-toxic hack for managing an ant problem requires nothing more than mixing equal parts baking soda and powdered sugar. Here is exactly how it works and why it is so effective: The Science Behind the Secret The Bait: Ants have a massive sweet tooth, but they are incredibly smart foragers. They will easily sniff out and avoid pure baking soda. However, when it is meticulously mixed with finely ground powdered sugar (confectioners' sugar), they cannot separate the two. The sweetness masks the deterrent, drawing them in. The Mechanism: Baking soda is highly alkaline. When ants consume it, it reacts with the acidic fluids in their digestive systems. Because ants cannot expel internal gas the way mammals can, the sudden chemical reaction is fatal to them. The Delivery: Foragers won't just eat it on the spot; they will carry this sweet, lethal mixture back to the heart of the colony, effectively taking care of the root of the problem. How to Apply It Simply blend a 50/50 mix of the two ingredients in a container and shake well. Sprinkle it directly around the perimeter of active mounds or along known ant trails. Other All-Natural Alternatives If baking soda isn’t on hand, a few other household staples can disrupt pest patterns naturally: White Vinegar: Spraying a simple solution of vinegar and water along entry points dissolves the scent trails ants use to navigate, leaving them completely disoriented. Diatomaceous Earth (Food Grade): A completely natural powder made from fossilized algae. It is harmless to humans and pets but breaks down the exoskeletons of crawling insects on contact. Essential Oils: Peppermint, tea tree, and citrus oils act as powerful natural repellents. A few drops near windows and doors keep unwanted visitors at bay. Relying on massive chemical interventions isn't always necessary to keep a property balanced. Sometimes, the safest, cheapest, and most elegant solutions are already sitting right next to the baking supplies.
2:23

When ant hills start cropping up all over the yard, the knee-jerk reaction for many is to sprint to the hardware store for a jug of heavy-duty, synthetic pesticide. But before flooding the lawn with harsh chemicals that can affect pets, helpful pollinators, and the local soil, it pays to look inside the kitchen pantry. A remarkably effective, non-toxic hack for managing an ant problem requires nothing more than mixing equal parts baking soda and powdered sugar. Here is exactly how it works and why it is so effective: The Science Behind the Secret The Bait: Ants have a massive sweet tooth, but they are incredibly smart foragers. They will easily sniff out and avoid pure baking soda. However, when it is meticulously mixed with finely ground powdered sugar (confectioners' sugar), they cannot separate the two. The sweetness masks the deterrent, drawing them in. The Mechanism: Baking soda is highly alkaline. When ants consume it, it reacts with the acidic fluids in their digestive systems. Because ants cannot expel internal gas the way mammals can, the sudden chemical reaction is fatal to them. The Delivery: Foragers won't just eat it on the spot; they will carry this sweet, lethal mixture back to the heart of the colony, effectively taking care of the root of the problem. How to Apply It Simply blend a 50/50 mix of the two ingredients in a container and shake well. Sprinkle it directly around the perimeter of active mounds or along known ant trails. Other All-Natural Alternatives If baking soda isn’t on hand, a few other household staples can disrupt pest patterns naturally: White Vinegar: Spraying a simple solution of vinegar and water along entry points dissolves the scent trails ants use to navigate, leaving them completely disoriented. Diatomaceous Earth (Food Grade): A completely natural powder made from fossilized algae. It is harmless to humans and pets but breaks down the exoskeletons of crawling insects on contact. Essential Oils: Peppermint, tea tree, and citrus oils act as powerful natural repellents. A few drops near windows and doors keep unwanted visitors at bay. Relying on massive chemical interventions isn't always necessary to keep a property balanced. Sometimes, the safest, cheapest, and most elegant solutions are already sitting right next to the baking supplies.

PeachProof

362,137 次观看 • 4 个月前

I’m on my way home from my first (and probably only) home school convention of the year, the Southeast Homeschool Expo in Atlanta. And it reminded me of everything that is good and also everything that is frustrating about home school conventions. Let me just start by saying that the conference organizers were hospitable, competent, and doing their best under challenging conditions (more about that shortly). Nothing that I say here is any reflection on our hosts. I’m grateful that they invited us, and thankful that they did everything possible to make this a good experience. Before the pandemic, I had already begun to cut down on my conference travel. Conferences are just exhausting, even when everything goes well, and I wanted to put that energy towards writing instead. Then, of course, the conferences shut down for a while. We did several online events, which had a whole different energy but also allowed us to keep in touch with our customers. As a bonus, one of our guests was the wonderful Kate Snow, and that contact led us to publish her crazy popular Math With Confidence series. When the conferences started up again, they were much smaller and I honestly thought that, given how easy it is to find information, opinions, and books online, that they’d never get back to their former size. But they do seem to be growing again. The SE Expo is certainly bigger than it was a few years ago (I’d be interested to hear how your local convention is faring). So, with some reluctance, because of that whole energy thing, I started attending a few conventions again. Here’s the good: Nothing replaces face to face contact and the ability to put your hands on books before you buy them. The workshops this weekend were a much-appreciated chance to actually talk to the parents who are using our books—and, I hope, a chance for them to hear some wisdom from someone who’s further along the road than they are. Our booth gave us the opportunity to show our resources to folks who haven’t seen them before. An online presence is important, but it’s just not quite the same. Here’s the frustrating: Conferences are stupidly expensive for exhibitors. Hotel rates are high and hotels charge extra fees for EVERYTHING—receiving books, tables, power, even chairs to put at your booth. And those costs have gone up, and up, and up. By the time we ship or drive books, put up staff, and pay fees, we lose money at every single conference we attend. We pin our hopes on the ripple effect of customers discovering our work for the first time and sharing it with others. And conference hotels are, almost without exception, inconvenient and noisy. The Waverly Renaissance in Atlanta was no exception. Food was mediocre and cost twice as much as it should. Construction complications meant that our workshops were all located in little curtained booths off the main hall, so that it was almost impossible to make myself heard over the din from the exhibit area. AND the conference had scheduled an massive four-day youth wrestling tournament in the adjacent space, so I also had to contend with shouts, referee whistles, and a huge crowd of junior wrestlers clogging up the halls right outside the Expo. It was a tremendous amount of work and expense. Does it pay off in terms of making contact with parents? To be honest, I’m still on the fence. But as always, I’m interested in hearing your thoughts.
0:31

I’m on my way home from my first (and probably only) home school convention of the year, the Southeast Homeschool Expo in Atlanta. And it reminded me of everything that is good and also everything that is frustrating about home school conventions. Let me just start by saying that the conference organizers were hospitable, competent, and doing their best under challenging conditions (more about that shortly). Nothing that I say here is any reflection on our hosts. I’m grateful that they invited us, and thankful that they did everything possible to make this a good experience. Before the pandemic, I had already begun to cut down on my conference travel. Conferences are just exhausting, even when everything goes well, and I wanted to put that energy towards writing instead. Then, of course, the conferences shut down for a while. We did several online events, which had a whole different energy but also allowed us to keep in touch with our customers. As a bonus, one of our guests was the wonderful Kate Snow, and that contact led us to publish her crazy popular Math With Confidence series. When the conferences started up again, they were much smaller and I honestly thought that, given how easy it is to find information, opinions, and books online, that they’d never get back to their former size. But they do seem to be growing again. The SE Expo is certainly bigger than it was a few years ago (I’d be interested to hear how your local convention is faring). So, with some reluctance, because of that whole energy thing, I started attending a few conventions again. Here’s the good: Nothing replaces face to face contact and the ability to put your hands on books before you buy them. The workshops this weekend were a much-appreciated chance to actually talk to the parents who are using our books—and, I hope, a chance for them to hear some wisdom from someone who’s further along the road than they are. Our booth gave us the opportunity to show our resources to folks who haven’t seen them before. An online presence is important, but it’s just not quite the same. Here’s the frustrating: Conferences are stupidly expensive for exhibitors. Hotel rates are high and hotels charge extra fees for EVERYTHING—receiving books, tables, power, even chairs to put at your booth. And those costs have gone up, and up, and up. By the time we ship or drive books, put up staff, and pay fees, we lose money at every single conference we attend. We pin our hopes on the ripple effect of customers discovering our work for the first time and sharing it with others. And conference hotels are, almost without exception, inconvenient and noisy. The Waverly Renaissance in Atlanta was no exception. Food was mediocre and cost twice as much as it should. Construction complications meant that our workshops were all located in little curtained booths off the main hall, so that it was almost impossible to make myself heard over the din from the exhibit area. AND the conference had scheduled an massive four-day youth wrestling tournament in the adjacent space, so I also had to contend with shouts, referee whistles, and a huge crowd of junior wrestlers clogging up the halls right outside the Expo. It was a tremendous amount of work and expense. Does it pay off in terms of making contact with parents? To be honest, I’m still on the fence. But as always, I’m interested in hearing your thoughts.

Susan Wise Bauer

17,955 次观看 • 1 个月前

This is one-shot assembly: you show examples of what to build, and the robot just does it. (see original post: To share more on how this works, the robot is controlled in real time by a neural network that takes in video pixels and outputs 100Hz actions. The video below is part of the raw input passed directly into the model. I also like this view (at 1x speed) because it shows more of the (I think very cool) subtle moments of dexterity near the fingertips 👌 One-shot assembly seemed like a dream even just a year ago — it's not easy. It requires both the high-level reasoning of "what to build" (recognizing the geometry of the structures presented by the human), and the low-level visuomotor control of "how to build it" (purposefully re-orienting individual pieces and nudging them together in place). While possible to manually engineer a complex system for this (e.g. w/ hierarchical control, or explicit state representations), we were curious if our own Foundation model could do it all end-to-end with just some post-training data. Surprisingly, it just worked. Nothing about the recipe is substantially different than any other demo we’ve run in the past, and we’re excited about its implications on model capabilities: • On contextual reasoning, these models can (i) attend to task-related pixels in the peripheral view of the video inputs, and (ii) retain this knowledge in-context while ignoring irrelevant background. This is useful for generalizing to a wide range of real workflows: e.g. paying attention to what’s coming down the conveyor line, or glancing at the instructions displayed on a nearby monitor. • On dexterity, these models can produce contact-rich "commonsense" behaviors that can be difficult to pre-program or write language instructions for e.g. rolling a brick slightly to align its studs against the bottom of another, re-grasping to get a better grip or to move out of the way before a forceful press, or gently pushing the corners of a brick against the mat to rotate it in hand and stand it up vertically (i.e. extrinsic dexterity). These aspects work together to form a capability that resembles fast adaptation — a hallmark of intelligence, relevant for real use cases. This has also expanded my own perspective on what's possible with robot learning, using a recipe that's repeatable for many more skills. This milestone stands on top of the solid technical foundations we’ve built here at Generalist: hardcore controls & hardware, all in-house built models, and a data engine that "just works." We're a small group of hyper-focused engineers, and hands-down the highest talent-density team I’ve ever worked with. We're accelerating and scaling aggressively towards unlocking next-generation robot intelligence. Building Legos is just one example, and it's clear to me that we're headed towards a future where robots can do just about anything we want them to. Its coming, and we're going to make it happen.
1:01

This is one-shot assembly: you show examples of what to build, and the robot just does it. (see original post: To share more on how this works, the robot is controlled in real time by a neural network that takes in video pixels and outputs 100Hz actions. The video below is part of the raw input passed directly into the model. I also like this view (at 1x speed) because it shows more of the (I think very cool) subtle moments of dexterity near the fingertips 👌 One-shot assembly seemed like a dream even just a year ago — it's not easy. It requires both the high-level reasoning of "what to build" (recognizing the geometry of the structures presented by the human), and the low-level visuomotor control of "how to build it" (purposefully re-orienting individual pieces and nudging them together in place). While possible to manually engineer a complex system for this (e.g. w/ hierarchical control, or explicit state representations), we were curious if our own Foundation model could do it all end-to-end with just some post-training data. Surprisingly, it just worked. Nothing about the recipe is substantially different than any other demo we’ve run in the past, and we’re excited about its implications on model capabilities: • On contextual reasoning, these models can (i) attend to task-related pixels in the peripheral view of the video inputs, and (ii) retain this knowledge in-context while ignoring irrelevant background. This is useful for generalizing to a wide range of real workflows: e.g. paying attention to what’s coming down the conveyor line, or glancing at the instructions displayed on a nearby monitor. • On dexterity, these models can produce contact-rich "commonsense" behaviors that can be difficult to pre-program or write language instructions for e.g. rolling a brick slightly to align its studs against the bottom of another, re-grasping to get a better grip or to move out of the way before a forceful press, or gently pushing the corners of a brick against the mat to rotate it in hand and stand it up vertically (i.e. extrinsic dexterity). These aspects work together to form a capability that resembles fast adaptation — a hallmark of intelligence, relevant for real use cases. This has also expanded my own perspective on what's possible with robot learning, using a recipe that's repeatable for many more skills. This milestone stands on top of the solid technical foundations we’ve built here at Generalist: hardcore controls & hardware, all in-house built models, and a data engine that "just works." We're a small group of hyper-focused engineers, and hands-down the highest talent-density team I’ve ever worked with. We're accelerating and scaling aggressively towards unlocking next-generation robot intelligence. Building Legos is just one example, and it's clear to me that we're headed towards a future where robots can do just about anything we want them to. Its coming, and we're going to make it happen.

Andy Zeng

49,443 次观看 • 11 个月前

If carbohydrates are high in deuterium… And high deuterium damages mitochondrial nanomotors… Then why are super centenarians in the Nicoya Peninsula in Costa Rica eating rice and beans — and living past 100? This is the question Dr. Laszlo Boros — Hungarian medical doctor, retired professor at UCLA School of Medicine, author of 100+ peer-reviewed papers and one of the world's leading deuterium researchers — was asked by Matt Maruca 🌞 directly on his podcast. His answer reframes everything about longevity, diet, and deuterium depletion. They're not avoiding deuterium through diet. They're depleting it through biology. Five synchronized mechanisms — all of which modern humans have largely destroyed. 1. Nutritional metabolic ketosis (via the microbiome) These populations eat carbohydrates. But their highly adapted microbiome ferments those carbohydrates into short-chain fatty acids — butyrate, propionate — that are deuterium-depleted relative to the original substrate. Their gut bacteria eat the high-deuterium carbohydrates and hand the human host low-deuterium ketone bodies. They are operating in a state of nutritional ketosis — without eating a ketogenic diet. The bacteria do the depletion for them. 2. The biological cost — stool volume and skin shedding. The deuterium has to exit somewhere. Boros: "You need to look at their stool. Their stool is probably larger, it's more volume, and it's more deuterium-packed." The dead, deuterium-loaded bacteria leave through the gut. These populations produce significantly larger stool volumes and have more frequent bowel movements than carnivore populations — who may only use the bathroom once or twice a week. The stool is the primary exit route for the deuterium they consumed. This is the biological cost of carbohydrate-based deuterium management. But stool is not the only exit route. Intense sunlight accelerates the rapid turnover and shedding of keratinocytes — skin cells. The skin becomes another active deuterium excretion pathway. Boros: "Your skin actually produces and depletes deuterium on a constant basis simply because you produce keratinocytes, especially when you're exposed to sunlight." Which brings us to the next point. 3. Sunlight Most of these super centenarian populations live close to the equator. Intense red and near-infrared photon pressure penetrates tissue and reduces the viscosity of structured water inside the mitochondrial matrix — allowing nanomotors to keep spinning efficiently even when dietary deuterium is slightly elevated. The light and the local food work as a synchronized package. Boros: "You actually deplete deuterium very efficiently in your local environment once you encounter the appropriate microbiome for it." 4. Intergenerational microbiome sharing The ancestral tribes often eat the exact same local foods their ancestors ate for generations. They live in close physical contact — carrying adapted bacteria on their bodies, passing them to offspring through direct contact. Generation after generation of the same local food plus the same specialized deuterium-depleting microbiome. Boros: "They give these bacteria to one another because they are in close contact with their offspring. They carry them on their body. They actually get in contact with their stool and everything. Practically they are very efficient in providing one another a deuterium-depleting microbiome." 5. Night-cycle plant biology — the plants themselves are depleted This is the mechanism most people miss entirely. The specific rice and beans these populations eat are locally grown, non-GMO plants — and those plants are naturally deuterium-depleted at specific carbon positions. The mechanism: during the night cycle, plant chloroplasts act like mitochondria — producing sugars that are naturally depleted of deuterium at the 3rd and 5th carbon positions of the sugar molecule. Boros: "If you look at some papers that discuss the deuterium content in carbohydrates — for example, the fifth and the third carbon of sugar in beans which are grown in a natural environment — they are actually pretty depleted of deuterium simply because they use the night cycle when they use their chloroplasts as mitochondria." Modern industrially farmed GMO crops have been engineered to grow faster — destroying this natural night-cycle deuterium depletion mechanism entirely. The carbohydrate looks the same. The deuterium content is not. The modern contrast You cannot copy the tribal diet without copying the tribal biology. Glyphosate, antibiotics, and processed food have destroyed the first line of microbial deuterium defense. Artificial blue light has replaced the equatorial photon pressure that compensates for dietary deuterium. Industrial GMO food has replaced locally grown, seasonally consistent food sources. Sterilized environments have broken intergenerational microbiome transfer. A modern human eating rice and beans does not have the biological machinery these populations built over generations. Boros's conclusion: “If you're able to stay in your local environment and not ship in food with unknown deuterium content. You can actually be safe on a relatively carbohydrate-rich diet if the carbohydrate portion of your diet is deuterium-depleted — and that's the case with plants which are not GMO." The Nicoya centenarians are not evidence that carbohydrates are uniformly safe for modern humans. They are evidence that deuterium depletion is a whole-system biological problem — not a dietary one. Fix the environment. Not just the diet.
4:54

If carbohydrates are high in deuterium… And high deuterium damages mitochondrial nanomotors… Then why are super centenarians in the Nicoya Peninsula in Costa Rica eating rice and beans — and living past 100? This is the question Dr. Laszlo Boros — Hungarian medical doctor, retired professor at UCLA School of Medicine, author of 100+ peer-reviewed papers and one of the world's leading deuterium researchers — was asked by Matt Maruca 🌞 directly on his podcast. His answer reframes everything about longevity, diet, and deuterium depletion. They're not avoiding deuterium through diet. They're depleting it through biology. Five synchronized mechanisms — all of which modern humans have largely destroyed. 1. Nutritional metabolic ketosis (via the microbiome) These populations eat carbohydrates. But their highly adapted microbiome ferments those carbohydrates into short-chain fatty acids — butyrate, propionate — that are deuterium-depleted relative to the original substrate. Their gut bacteria eat the high-deuterium carbohydrates and hand the human host low-deuterium ketone bodies. They are operating in a state of nutritional ketosis — without eating a ketogenic diet. The bacteria do the depletion for them. 2. The biological cost — stool volume and skin shedding. The deuterium has to exit somewhere. Boros: "You need to look at their stool. Their stool is probably larger, it's more volume, and it's more deuterium-packed." The dead, deuterium-loaded bacteria leave through the gut. These populations produce significantly larger stool volumes and have more frequent bowel movements than carnivore populations — who may only use the bathroom once or twice a week. The stool is the primary exit route for the deuterium they consumed. This is the biological cost of carbohydrate-based deuterium management. But stool is not the only exit route. Intense sunlight accelerates the rapid turnover and shedding of keratinocytes — skin cells. The skin becomes another active deuterium excretion pathway. Boros: "Your skin actually produces and depletes deuterium on a constant basis simply because you produce keratinocytes, especially when you're exposed to sunlight." Which brings us to the next point. 3. Sunlight Most of these super centenarian populations live close to the equator. Intense red and near-infrared photon pressure penetrates tissue and reduces the viscosity of structured water inside the mitochondrial matrix — allowing nanomotors to keep spinning efficiently even when dietary deuterium is slightly elevated. The light and the local food work as a synchronized package. Boros: "You actually deplete deuterium very efficiently in your local environment once you encounter the appropriate microbiome for it." 4. Intergenerational microbiome sharing The ancestral tribes often eat the exact same local foods their ancestors ate for generations. They live in close physical contact — carrying adapted bacteria on their bodies, passing them to offspring through direct contact. Generation after generation of the same local food plus the same specialized deuterium-depleting microbiome. Boros: "They give these bacteria to one another because they are in close contact with their offspring. They carry them on their body. They actually get in contact with their stool and everything. Practically they are very efficient in providing one another a deuterium-depleting microbiome." 5. Night-cycle plant biology — the plants themselves are depleted This is the mechanism most people miss entirely. The specific rice and beans these populations eat are locally grown, non-GMO plants — and those plants are naturally deuterium-depleted at specific carbon positions. The mechanism: during the night cycle, plant chloroplasts act like mitochondria — producing sugars that are naturally depleted of deuterium at the 3rd and 5th carbon positions of the sugar molecule. Boros: "If you look at some papers that discuss the deuterium content in carbohydrates — for example, the fifth and the third carbon of sugar in beans which are grown in a natural environment — they are actually pretty depleted of deuterium simply because they use the night cycle when they use their chloroplasts as mitochondria." Modern industrially farmed GMO crops have been engineered to grow faster — destroying this natural night-cycle deuterium depletion mechanism entirely. The carbohydrate looks the same. The deuterium content is not. The modern contrast You cannot copy the tribal diet without copying the tribal biology. Glyphosate, antibiotics, and processed food have destroyed the first line of microbial deuterium defense. Artificial blue light has replaced the equatorial photon pressure that compensates for dietary deuterium. Industrial GMO food has replaced locally grown, seasonally consistent food sources. Sterilized environments have broken intergenerational microbiome transfer. A modern human eating rice and beans does not have the biological machinery these populations built over generations. Boros's conclusion: “If you're able to stay in your local environment and not ship in food with unknown deuterium content. You can actually be safe on a relatively carbohydrate-rich diet if the carbohydrate portion of your diet is deuterium-depleted — and that's the case with plants which are not GMO." The Nicoya centenarians are not evidence that carbohydrates are uniformly safe for modern humans. They are evidence that deuterium depletion is a whole-system biological problem — not a dietary one. Fix the environment. Not just the diet.

no.mind

17,298 次观看 • 3 个月前

Alex Karp just described how America identifies its most valuable minds and systematically filters them out. The system isn’t broken. It’s performing exactly as designed. Built to produce compliant industrial labor for an economy that no longer exists. The factories closed. The compliance engine never did. Karp: “All of our tests are built around things that were valuable in the Industrial Revolution.” Every test. Every metric. Every benchmark. Calibrated to measure one thing. Obedience. Not cognition. Not creativity. Not the ability to build something from nothing. The ability to sit still and repeat what you’re told. The minds the system punishes hardest are the ones the future needs most. Karp: “Everybody who can’t sit or needs to build or wants to build have to go into a separate slot.” The neurodivergent. The dyslexic. The kid who can’t stop moving but can reverse-engineer anything they touch. The system doesn’t overlook them. It identifies them, labels them defective, and routes them out. That’s not a failure of detection. That’s the detection working perfectly. The system locates its biggest threats and neutralizes them before they ever reach a launchpad. Karp: “Vocational training in Germany is very technical. The people building the cars at BMW or even in the French version Airbus, very complicated jobs, they didn’t go to college. They went to a very, very high-end high school. And they come out without any debt.” Germany routes elite technical talent straight into building jet engines and precision machinery. No university. No debt. Immediate sovereign output. America runs that same talent through four years of institutional processing and hands them a credential, six figures of debt, and a skill set an LLM absorbs before the decade ends. One system builds. The other processes. And processing is not building. Karp: “We should have gotten you before you got turned down at Goldman and said this is a waste of your time. You could be building something important.” Instead of handing builders something real, the system funnels them toward desk jobs they’ll be rejected from anyway. Then asks why nothing gets built. The AI race won’t be decided by credentials on a wall. It’ll be decided by one question. Which nation found its builders before the system finished converting them into something replaceable? Because the system doesn’t miss them by accident. It finds them first. Then it eliminates them. That’s not a flaw in the design. That is the design. But here’s what it never accounted for. The builders it discards are the only ones who can build what replaces it.
1:04

Alex Karp just described how America identifies its most valuable minds and systematically filters them out. The system isn’t broken. It’s performing exactly as designed. Built to produce compliant industrial labor for an economy that no longer exists. The factories closed. The compliance engine never did. Karp: “All of our tests are built around things that were valuable in the Industrial Revolution.” Every test. Every metric. Every benchmark. Calibrated to measure one thing. Obedience. Not cognition. Not creativity. Not the ability to build something from nothing. The ability to sit still and repeat what you’re told. The minds the system punishes hardest are the ones the future needs most. Karp: “Everybody who can’t sit or needs to build or wants to build have to go into a separate slot.” The neurodivergent. The dyslexic. The kid who can’t stop moving but can reverse-engineer anything they touch. The system doesn’t overlook them. It identifies them, labels them defective, and routes them out. That’s not a failure of detection. That’s the detection working perfectly. The system locates its biggest threats and neutralizes them before they ever reach a launchpad. Karp: “Vocational training in Germany is very technical. The people building the cars at BMW or even in the French version Airbus, very complicated jobs, they didn’t go to college. They went to a very, very high-end high school. And they come out without any debt.” Germany routes elite technical talent straight into building jet engines and precision machinery. No university. No debt. Immediate sovereign output. America runs that same talent through four years of institutional processing and hands them a credential, six figures of debt, and a skill set an LLM absorbs before the decade ends. One system builds. The other processes. And processing is not building. Karp: “We should have gotten you before you got turned down at Goldman and said this is a waste of your time. You could be building something important.” Instead of handing builders something real, the system funnels them toward desk jobs they’ll be rejected from anyway. Then asks why nothing gets built. The AI race won’t be decided by credentials on a wall. It’ll be decided by one question. Which nation found its builders before the system finished converting them into something replaceable? Because the system doesn’t miss them by accident. It finds them first. Then it eliminates them. That’s not a flaw in the design. That is the design. But here’s what it never accounted for. The builders it discards are the only ones who can build what replaces it.

Dustin

52,570 次观看 • 2 个月前

Baddie for a reason Seedance 2.5 Prompt : Create a 30-second, 1080p ultra-realistic personal home-video showing an ordinary summer afternoon in the life of a young Korean woman. No reference image. MAIN SUBJECT Young Korean woman in her early 20s, naturally pretty, realistic skin texture, minimal makeup, relaxed and confident personality. Long black hair loosely tied into a messy side ponytail with a few loose strands around her face. Wearing a fitted pastel-blue short top, loose cream pajama-style pants, black sneakers and a simple silver necklace. Maintain the same face, hairstyle, clothing, body proportions and overall appearance throughout the entire video. SETTING A quiet older Seoul residential neighborhood during a warm summer afternoon. Narrow concrete lanes, small houses, old walls, potted plants, parked bicycles, utility poles, overhead wires, laundry hanging outside homes, a tiny convenience store and children playing football in the street. Everything should feel lived-in, ordinary and peaceful. No tourist attractions, advertisements, recognizable brands or commercial activity. CAMERA / VISUAL AESTHETIC Raw personal footage casually recorded by a friend on an early-2000s consumer DV camcorder. Strong handheld shake, imperfect framing, autofocus hunting, exposure shifts, occasional motion blur, faded colors, soft digital detail, mild noise, accidental zooms and natural camera imperfections. No stabilization, drone footage, gimbal movement, dramatic lighting or polished commercial cinematography. — OUTSIDE THE HOUSE She steps outside carrying a small reusable shopping bag. She locks the door, adjusts her messy ponytail and gives the camera a relaxed smile. She starts walking down the narrow neighborhood lane. A light summer breeze moves her hair naturally. — MEETING THE CHILDREN A few neighborhood children wearing backpacks walk toward her from the opposite direction. She recognizes them and smiles, stepping slightly aside to let them pass. One child gives her a quick wave and she waves back. She continues walking down the lane without any dialogue. — CHILDREN PLAYING FOOTBALL A little farther down the lane, several neighborhood children are playing football in the street. The ball rolls toward her and stops directly in front of her feet. She looks down at the ball, then toward the children. One child calls out: “Noona! Kick it!” She smiles, gently stops the ball with her foot, then gives it one playful kick back toward the children. The ball rolls naturally across the concrete and the children excitedly chase after it. She laughs and continues walking. The football remains with the children after she kicks it. It does not disappear, duplicate or suddenly return to her. — WATER TAP She continues walking and passes a small public water tap. She stops, turns it on and cups some water in both hands. She splashes the water gently onto her face and closes her eyes for a moment. Water drips naturally from her cheeks. She wipes her face, fixes a loose strand of hair and turns the tap off before continuing home. — FINAL MOMENT She reaches the corner of the neighborhood. The children are still playing football farther behind her. One child notices her and waves. She turns toward them, smiles and waves back. She then looks toward the camera with a small playful smile and says: “Have fun!” She continues walking home as the camera follows behind her. She disappears around the corner and the recording abruptly cuts to black. AUDIO Natural location sound only: children shouting and laughing, football bouncing against concrete, footsteps, birds, summer insects, bicycle bells, distant scooters, neighborhood conversations, running water, leaves moving in the breeze and subtle camera-handling noise. No music. No narration. Only the two spoken lines specified above.
0:30

Baddie for a reason Seedance 2.5 Prompt : Create a 30-second, 1080p ultra-realistic personal home-video showing an ordinary summer afternoon in the life of a young Korean woman. No reference image. MAIN SUBJECT Young Korean woman in her early 20s, naturally pretty, realistic skin texture, minimal makeup, relaxed and confident personality. Long black hair loosely tied into a messy side ponytail with a few loose strands around her face. Wearing a fitted pastel-blue short top, loose cream pajama-style pants, black sneakers and a simple silver necklace. Maintain the same face, hairstyle, clothing, body proportions and overall appearance throughout the entire video. SETTING A quiet older Seoul residential neighborhood during a warm summer afternoon. Narrow concrete lanes, small houses, old walls, potted plants, parked bicycles, utility poles, overhead wires, laundry hanging outside homes, a tiny convenience store and children playing football in the street. Everything should feel lived-in, ordinary and peaceful. No tourist attractions, advertisements, recognizable brands or commercial activity. CAMERA / VISUAL AESTHETIC Raw personal footage casually recorded by a friend on an early-2000s consumer DV camcorder. Strong handheld shake, imperfect framing, autofocus hunting, exposure shifts, occasional motion blur, faded colors, soft digital detail, mild noise, accidental zooms and natural camera imperfections. No stabilization, drone footage, gimbal movement, dramatic lighting or polished commercial cinematography. — OUTSIDE THE HOUSE She steps outside carrying a small reusable shopping bag. She locks the door, adjusts her messy ponytail and gives the camera a relaxed smile. She starts walking down the narrow neighborhood lane. A light summer breeze moves her hair naturally. — MEETING THE CHILDREN A few neighborhood children wearing backpacks walk toward her from the opposite direction. She recognizes them and smiles, stepping slightly aside to let them pass. One child gives her a quick wave and she waves back. She continues walking down the lane without any dialogue. — CHILDREN PLAYING FOOTBALL A little farther down the lane, several neighborhood children are playing football in the street. The ball rolls toward her and stops directly in front of her feet. She looks down at the ball, then toward the children. One child calls out: “Noona! Kick it!” She smiles, gently stops the ball with her foot, then gives it one playful kick back toward the children. The ball rolls naturally across the concrete and the children excitedly chase after it. She laughs and continues walking. The football remains with the children after she kicks it. It does not disappear, duplicate or suddenly return to her. — WATER TAP She continues walking and passes a small public water tap. She stops, turns it on and cups some water in both hands. She splashes the water gently onto her face and closes her eyes for a moment. Water drips naturally from her cheeks. She wipes her face, fixes a loose strand of hair and turns the tap off before continuing home. — FINAL MOMENT She reaches the corner of the neighborhood. The children are still playing football farther behind her. One child notices her and waves. She turns toward them, smiles and waves back. She then looks toward the camera with a small playful smile and says: “Have fun!” She continues walking home as the camera follows behind her. She disappears around the corner and the recording abruptly cuts to black. AUDIO Natural location sound only: children shouting and laughing, football bouncing against concrete, footsteps, birds, summer insects, bicycle bells, distant scooters, neighborhood conversations, running water, leaves moving in the breeze and subtle camera-handling noise. No music. No narration. Only the two spoken lines specified above.

Smiling Khan

32,434 次观看 • 8 天前