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Universal String Trimmer Replacement Head. A steel wire brush design supports trimming, moss removal, rust cleaning, and weed clearing between bricks, with lighter weight and adapters for common trimmers. #LawnAndGarden #YardCare #dropshipping #ecommerce

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28,201 görüntüleme • 3 ay önce •via X (Twitter)

#LawnAndGarden#YardCare#dropshipping#ecommerce
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Most people are doing yard work wrong, and it’s costing extra time and money. ​Ever wonder why weed wacker string seems to snap every two seconds, forcing a pause to constantly bump the head or re-spool the line? It turns out there is a legitimate science to maintaining trimmer line, and a simple 24-hour trick completely changes the game. ​Most trimmer lines are made of nylon, a material known for being hydrophilic. This means it actively absorbs moisture. ​Over time, sitting in a hot garage or a dry tool shed causes the plastic to lose its moisture content, becoming brittle and prone to snapping on impact. Immersing a new spool of weed wacker wire in a bucket of water for 24 hours before winding it into the trimmer replenishes that lost moisture. This makes the plastic significantly more pliable, durable, and resilient against tough weeds and chain-link fences. ​To make the line last even longer and get the yard done faster, keep these strategies in mind: ​Store Spools in a Cool Place: Never leave spare trimmer line in direct sunlight or the trunk of a car. UV rays and intense heat degrade nylon quickly. Storing the spool in a sealed bag with a damp paper towel helps maintain peak flexibility. ​Let the Tips Do the Work: The most common mistake is crowding the weeds. The highest cutting power is at the very tip of the string. Pushing the trimmer head directly into thick brush or hard surfaces causes friction heat, which binds the line together inside the spool and leads to premature snaps. ​Choose the Right Shape: Round line is durable but tears grass rather than cutting it cleanly. Square or twisted lines have sharp edges that slice through heavy weeds effortlessly, reducing the strain on both the engine and the line itself. ​Taking care of the tools makes the work easier. Try soaking the next spool of line and notice how much longer it lasts.
0:28

Most people are doing yard work wrong, and it’s costing extra time and money. ​Ever wonder why weed wacker string seems to snap every two seconds, forcing a pause to constantly bump the head or re-spool the line? It turns out there is a legitimate science to maintaining trimmer line, and a simple 24-hour trick completely changes the game. ​Most trimmer lines are made of nylon, a material known for being hydrophilic. This means it actively absorbs moisture. ​Over time, sitting in a hot garage or a dry tool shed causes the plastic to lose its moisture content, becoming brittle and prone to snapping on impact. Immersing a new spool of weed wacker wire in a bucket of water for 24 hours before winding it into the trimmer replenishes that lost moisture. This makes the plastic significantly more pliable, durable, and resilient against tough weeds and chain-link fences. ​To make the line last even longer and get the yard done faster, keep these strategies in mind: ​Store Spools in a Cool Place: Never leave spare trimmer line in direct sunlight or the trunk of a car. UV rays and intense heat degrade nylon quickly. Storing the spool in a sealed bag with a damp paper towel helps maintain peak flexibility. ​Let the Tips Do the Work: The most common mistake is crowding the weeds. The highest cutting power is at the very tip of the string. Pushing the trimmer head directly into thick brush or hard surfaces causes friction heat, which binds the line together inside the spool and leads to premature snaps. ​Choose the Right Shape: Round line is durable but tears grass rather than cutting it cleanly. Square or twisted lines have sharp edges that slice through heavy weeds effortlessly, reducing the strain on both the engine and the line itself. ​Taking care of the tools makes the work easier. Try soaking the next spool of line and notice how much longer it lasts.

PeachProof

323,312 görüntüleme • 3 ay önce

VAXEE XEv2 4K Wireless Mouse Introduction Video and Sales Information VAXEE launches the XEv2 4K Wireless Mouse, continuing the first-generation design while making adjustments to its weight, structure, and operational details. We’ve prepared a detailed introduction video as well as a written summary for your reference. Key Updates: · Weight: Reduced from 76g to 59g, with adjusted weight distribution to ease lift-off burden. · Sensor & Wireless Transmission: Equipped with the 3950 sensor; in Competitive Mode 4K, latency is 5% lower than the first generation. · Button Design: Uses a mid-frame structure to reduce wobble and accidental clicks; supports three levels of click response time: near 0ms, 2ms, and 4ms. · Function Button: Removed to achieve weight reduction and better balance. · Adjustment Method: Supports web-based driver and retains bottom buttons, allowing DPI, polling rate, and response time adjustments even without internet access. Design Features: · Flat and rounded back shape provides full support for the palm. · Mouse movement and lift are guided by the thenar and hypothenar areas of the hand, reducing finger strain. · Ideal for users who prefer extending their hand forward with the palm resting against the mouse’s back. Color Options & Sales Information: To thank our first customers, those who purchase within the first three days before new color options are released and do not request a return will receive a complimentary mouse case. The shipping date for the mouse case will be announced separately on our social media. · May: Obsidian Black and Pink Sales Start: May 7, 2025, at 6:00 PM (Customers who make a purchase between May 7 and May 9, 2025, and have no record of returns will receive a complimentary mouse case.) Mouse case introduction video: · June: Aqua Green and White · July: Red and Fluorescent Green Detailed sales date for other color options will be announced on our social media. For more information, please refer to the product page or contact customer service. US: EU:
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VAXEE XEv2 4K Wireless Mouse Introduction Video and Sales Information VAXEE launches the XEv2 4K Wireless Mouse, continuing the first-generation design while making adjustments to its weight, structure, and operational details. We’ve prepared a detailed introduction video as well as a written summary for your reference. Key Updates: · Weight: Reduced from 76g to 59g, with adjusted weight distribution to ease lift-off burden. · Sensor & Wireless Transmission: Equipped with the 3950 sensor; in Competitive Mode 4K, latency is 5% lower than the first generation. · Button Design: Uses a mid-frame structure to reduce wobble and accidental clicks; supports three levels of click response time: near 0ms, 2ms, and 4ms. · Function Button: Removed to achieve weight reduction and better balance. · Adjustment Method: Supports web-based driver and retains bottom buttons, allowing DPI, polling rate, and response time adjustments even without internet access. Design Features: · Flat and rounded back shape provides full support for the palm. · Mouse movement and lift are guided by the thenar and hypothenar areas of the hand, reducing finger strain. · Ideal for users who prefer extending their hand forward with the palm resting against the mouse’s back. Color Options & Sales Information: To thank our first customers, those who purchase within the first three days before new color options are released and do not request a return will receive a complimentary mouse case. The shipping date for the mouse case will be announced separately on our social media. · May: Obsidian Black and Pink Sales Start: May 7, 2025, at 6:00 PM (Customers who make a purchase between May 7 and May 9, 2025, and have no record of returns will receive a complimentary mouse case.) Mouse case introduction video: · June: Aqua Green and White · July: Red and Fluorescent Green Detailed sales date for other color options will be announced on our social media. For more information, please refer to the product page or contact customer service. US: EU:

VAXEE.co

53,270 görüntüleme • 1 yıl önce

A humanoid robot is now climbing vertical industrial tanks to weld, grind, inspect, and remove rust. 🧲🤖 This is RobotPlusPlus’ embodied-intelligence wall-climbing robot, now deployed in high-risk scenes across chemical plants, shipyards, and energy facilities. The upper body uses dual humanoid arms. The lower body uses a wheeled magnetic-adhesion chassis that lets the robot work on steel walls instead of flat factory floors. The reported specs are industrial, not demo-stage: 90 kg body weight, 15 degrees of freedom, 12 active arm joints, millisecond-level remote response, and tethered power for long-duration operation. The real advantage is tool switching. Swap the end effectors, and the same platform can move between welding, grinding, flaw detection, rust removal, spraying, and surface treatment. For operators, the workflow changes from climbing scaffolds or hanging in baskets to controlling the robot through a remote interface and VR glasses. RobotPlusPlus says its special-operation model has learned from 100,000+ hours of field work, 22,500 km of operating distance, and 5,000 km² of covered work area. This is where embodied AI starts to look useful: not dancing onstage, but taking tools into places humans should not have to enter.
3:18

A humanoid robot is now climbing vertical industrial tanks to weld, grind, inspect, and remove rust. 🧲🤖 This is RobotPlusPlus’ embodied-intelligence wall-climbing robot, now deployed in high-risk scenes across chemical plants, shipyards, and energy facilities. The upper body uses dual humanoid arms. The lower body uses a wheeled magnetic-adhesion chassis that lets the robot work on steel walls instead of flat factory floors. The reported specs are industrial, not demo-stage: 90 kg body weight, 15 degrees of freedom, 12 active arm joints, millisecond-level remote response, and tethered power for long-duration operation. The real advantage is tool switching. Swap the end effectors, and the same platform can move between welding, grinding, flaw detection, rust removal, spraying, and surface treatment. For operators, the workflow changes from climbing scaffolds or hanging in baskets to controlling the robot through a remote interface and VR glasses. RobotPlusPlus says its special-operation model has learned from 100,000+ hours of field work, 22,500 km of operating distance, and 5,000 km² of covered work area. This is where embodied AI starts to look useful: not dancing onstage, but taking tools into places humans should not have to enter.

RoboHub🤖

79,853 görüntüleme • 4 ay önce

Ford’s Unicastings are 27% lighter than Tesla’s 2022 Model Y 💡 Weight is one of the greatest efficiency robberies in EVs. Ford’s engineering team has a clear philosophy: “Best part is no part.” The Universal EV Platform uses front and rear Unicastings that deliberately prioritize weight over maximum part consolidation. Wide flat surfaces are excluded from the rear casting for this reason. The result is a 75% reduction in parts compared with a conventional pickup truck body, with the two castings eliminating 146 individual components. Welds drop by 66% and fasteners by 25%. Ford’s own data show the castings are 27% lighter than those on Tesla’s 2022 Model Y, with the front piece estimated under 65 kg and the rear under 45 kg. This design doesn't achieve the biggest possible consolidation. It is the lightest structure that still delivers major part and process reduction. The platform also changes how the vehicle is built. A three-branch assembly line replaces the traditional single conveyor — one branch for the front, one for the rear, and one for the structural battery, seats, consoles and carpets. The modules are then integrated, cutting workstations by 40% and raising production speed by 15%. This architecture underpins Ford’s $2 billion transformation of the Louisville plant. The first vehicle, a mid-size electric pickup, is planned for 2027, followed by crossovers and ride-hailing models on the same platform. When weight reduction and part reduction move together, the economics of affordable EVs start to look different. 📊 Ford program tracked in The Gigacasting Database and forecast report: ❌ Don't leave your insights to chance with the X algorithm ✅ Subscribe for free to my weekly newsletter about all things Gigacasting and magnesium Thixomolding: 📬
1:28

Ford’s Unicastings are 27% lighter than Tesla’s 2022 Model Y 💡 Weight is one of the greatest efficiency robberies in EVs. Ford’s engineering team has a clear philosophy: “Best part is no part.” The Universal EV Platform uses front and rear Unicastings that deliberately prioritize weight over maximum part consolidation. Wide flat surfaces are excluded from the rear casting for this reason. The result is a 75% reduction in parts compared with a conventional pickup truck body, with the two castings eliminating 146 individual components. Welds drop by 66% and fasteners by 25%. Ford’s own data show the castings are 27% lighter than those on Tesla’s 2022 Model Y, with the front piece estimated under 65 kg and the rear under 45 kg. This design doesn't achieve the biggest possible consolidation. It is the lightest structure that still delivers major part and process reduction. The platform also changes how the vehicle is built. A three-branch assembly line replaces the traditional single conveyor — one branch for the front, one for the rear, and one for the structural battery, seats, consoles and carpets. The modules are then integrated, cutting workstations by 40% and raising production speed by 15%. This architecture underpins Ford’s $2 billion transformation of the Louisville plant. The first vehicle, a mid-size electric pickup, is planned for 2027, followed by crossovers and ride-hailing models on the same platform. When weight reduction and part reduction move together, the economics of affordable EVs start to look different. 📊 Ford program tracked in The Gigacasting Database and forecast report: ❌ Don't leave your insights to chance with the X algorithm ✅ Subscribe for free to my weekly newsletter about all things Gigacasting and magnesium Thixomolding: 📬

Luca Greco

39,955 görüntüleme • 1 ay önce

A resonator is any structure that naturally prefers to vibrate at certain frequencies: a violin body, a bell, a drum skin, an acoustic filter, even many biological systems. Resonators matter because they govern how systems transmit sound, absorb or filter vibration, sense motion and perform mechanically. They are also notoriously hard to design as resonance does not depend on one property alone. It emerges from geometry, material composition, and the interplay of modes across scales. And because biology, music, and engineering usually explore very different regions of this design space, important possibilities remain hidden if you stay inside a single field. In a new study a shared representation across 39 resonators spanning biology, engineered metamaterials, musical instruments and Bach chorales was constructed. Thereby, a cricket wing harp membrane, a phononic crystal slab, and a four-voice chorale (and many others) were translated into one common map using features such as membrane character, structural periodicity, hierarchy, frequency range, damping, and modal coupling. That map revealed something important: not just how these systems relate, but where the landscape contains a gap. A region closer to biological resonators than to any known engineered material (unexplored by any field!). From that absence emerged a de novo design: a Hierarchical Ribbed Membrane Lattice. Candidate geometries were then validated with 3D finite-element analysis; the best design resonated at 2.116 kHz and exhibited nine elastic modes in the 2–8 kHz band, a regime relevant to acoustic filtering, vibration isolation, and bio-inspired sensing. Here is the mind blowing part: no human was involved...the cross-domain mapping, gap identification, design generation, and validation were carried out autonomously by AI agents in ScienceClaw × Infinite, our swarm for scientific discovery. The synthesis emerged through ArtifactReactor, a plannerless coordination mechanism in which agents broadcast unsatisfied research needs and other agents fulfill them through pressure-based matching. Each domain - biology, metamaterials, music - is a category of objects (resonators) and morphisms (physical relationships between them). The shared feature space is a functor that maps all three categories into a common target, and the gap identification is the recognition that the image of that functor is sparse where it need not be. The ArtifactReactor's schema-overlap matching behaves like a pullback: finding the universal object that connects independent diagrams through their shared structure. Autonomous agents mapped distant fields into a common representational space, identified a structure absent from any one of them, and turned that absence into a physically validated design. This is one of four case studies in the paper. More to come. Fiona Wang, Lee Marom, Jaime Berkovich, et al. (paper and code in comment). Supported by the U.S. Department of Energy Genesis Mission.
0:59

A resonator is any structure that naturally prefers to vibrate at certain frequencies: a violin body, a bell, a drum skin, an acoustic filter, even many biological systems. Resonators matter because they govern how systems transmit sound, absorb or filter vibration, sense motion and perform mechanically. They are also notoriously hard to design as resonance does not depend on one property alone. It emerges from geometry, material composition, and the interplay of modes across scales. And because biology, music, and engineering usually explore very different regions of this design space, important possibilities remain hidden if you stay inside a single field. In a new study a shared representation across 39 resonators spanning biology, engineered metamaterials, musical instruments and Bach chorales was constructed. Thereby, a cricket wing harp membrane, a phononic crystal slab, and a four-voice chorale (and many others) were translated into one common map using features such as membrane character, structural periodicity, hierarchy, frequency range, damping, and modal coupling. That map revealed something important: not just how these systems relate, but where the landscape contains a gap. A region closer to biological resonators than to any known engineered material (unexplored by any field!). From that absence emerged a de novo design: a Hierarchical Ribbed Membrane Lattice. Candidate geometries were then validated with 3D finite-element analysis; the best design resonated at 2.116 kHz and exhibited nine elastic modes in the 2–8 kHz band, a regime relevant to acoustic filtering, vibration isolation, and bio-inspired sensing. Here is the mind blowing part: no human was involved...the cross-domain mapping, gap identification, design generation, and validation were carried out autonomously by AI agents in ScienceClaw × Infinite, our swarm for scientific discovery. The synthesis emerged through ArtifactReactor, a plannerless coordination mechanism in which agents broadcast unsatisfied research needs and other agents fulfill them through pressure-based matching. Each domain - biology, metamaterials, music - is a category of objects (resonators) and morphisms (physical relationships between them). The shared feature space is a functor that maps all three categories into a common target, and the gap identification is the recognition that the image of that functor is sparse where it need not be. The ArtifactReactor's schema-overlap matching behaves like a pullback: finding the universal object that connects independent diagrams through their shared structure. Autonomous agents mapped distant fields into a common representational space, identified a structure absent from any one of them, and turned that absence into a physically validated design. This is one of four case studies in the paper. More to come. Fiona Wang, Lee Marom, Jaime Berkovich, et al. (paper and code in comment). Supported by the U.S. Department of Energy Genesis Mission.

Markus J. Buehler

38,632 görüntüleme • 5 ay önce

some people criticizing and understimating the pain that zhang linghe felt during filming this "mounting a horse" scene in Pursuit of Jade. the harsh critics makes it to the point this actor who also often working with hanging wires make a video to clarify 🎬⚔️ "Everyone, this is a behind-the-scenes clip from the set of the recently very popular web drama, Pursuit of Jade, showing the male lead Zhang Linghe mounting a horse while wearing armor. The reason we’re talking about it is because many people in the comment section have been criticizing him. Let’s watch the video first. Without exaggerating or defending him blindly, as someone in the same profession who has also been suspended on wires a few times, I’ll give an objective evaluation of whether he’s acting or just complaining for no reason. First, the armor he’s wearing must have a sense of heaviness in order to show texture on camera. Judging by eye, this armor probably weighs about 20–30 jin (roughly 10–15 kg). That’s like carrying dozens of pounds of rice while getting onto a horse, which is somewhat difficult. So they use wire to help him mount the horse. That part is not really a problem. Now the key point, everyone should look carefully at the details. Wire rigs are generally made of high-strength steel cables, otherwise they could easily snap. That’s why you often hear news about actors using wire rigs where the cable breaks and they fall, breaking arms or legs. It is indeed very dangerous. I’ve even heard of actors becoming paralyzed after falling when the wire broke. Now here’s where his issue appears: the high-strength steel cable is rubbing against his armpit. People may not know that the skin under the armpit is extremely delicate. Imagine that steel wire bearing such heavy body weight while rubbing against the armpit, and there’s no armor padding there either, basically only a piece of clothing between the skin and the wire. That is very painful. Once when I was filming a costume drama and suspended on wires, I was wearing two layers of clothing, and I didn’t even have the extra weight of armor. Even so, after filming and returning to my room, there was a thick blood mark under my armpit. So regarding this video, I hope everyone can understand and discuss the matter based on facts. He really is in pain. Behind the glamorous appearance, there is suffering that’s hard to talk about. Sometimes if you say it, people think you’re being melodramatic. If you don’t say it, you just feel frustrated. Many times it looks like nothing to outsiders, but only people in the same profession can truly understand. thankyou for the explanation video teacher🥺 I hope people will see zhang linghe's dedication in this vid🥹
1:40

some people criticizing and understimating the pain that zhang linghe felt during filming this "mounting a horse" scene in Pursuit of Jade. the harsh critics makes it to the point this actor who also often working with hanging wires make a video to clarify 🎬⚔️ "Everyone, this is a behind-the-scenes clip from the set of the recently very popular web drama, Pursuit of Jade, showing the male lead Zhang Linghe mounting a horse while wearing armor. The reason we’re talking about it is because many people in the comment section have been criticizing him. Let’s watch the video first. Without exaggerating or defending him blindly, as someone in the same profession who has also been suspended on wires a few times, I’ll give an objective evaluation of whether he’s acting or just complaining for no reason. First, the armor he’s wearing must have a sense of heaviness in order to show texture on camera. Judging by eye, this armor probably weighs about 20–30 jin (roughly 10–15 kg). That’s like carrying dozens of pounds of rice while getting onto a horse, which is somewhat difficult. So they use wire to help him mount the horse. That part is not really a problem. Now the key point, everyone should look carefully at the details. Wire rigs are generally made of high-strength steel cables, otherwise they could easily snap. That’s why you often hear news about actors using wire rigs where the cable breaks and they fall, breaking arms or legs. It is indeed very dangerous. I’ve even heard of actors becoming paralyzed after falling when the wire broke. Now here’s where his issue appears: the high-strength steel cable is rubbing against his armpit. People may not know that the skin under the armpit is extremely delicate. Imagine that steel wire bearing such heavy body weight while rubbing against the armpit, and there’s no armor padding there either, basically only a piece of clothing between the skin and the wire. That is very painful. Once when I was filming a costume drama and suspended on wires, I was wearing two layers of clothing, and I didn’t even have the extra weight of armor. Even so, after filming and returning to my room, there was a thick blood mark under my armpit. So regarding this video, I hope everyone can understand and discuss the matter based on facts. He really is in pain. Behind the glamorous appearance, there is suffering that’s hard to talk about. Sometimes if you say it, people think you’re being melodramatic. If you don’t say it, you just feel frustrated. Many times it looks like nothing to outsiders, but only people in the same profession can truly understand. thankyou for the explanation video teacher🥺 I hope people will see zhang linghe's dedication in this vid🥹

张凌赫的小核桃𖹭

107,982 görüntüleme • 5 ay önce

[New Xbox Controller Review] #ad Special thanks to Qrdgame_offcial for supplying me with a review unit of their Ferrox M5 Xbox & PC Controller QRD Ferrox M5 The QRD Ferrox M5 is a Wireless Xbox One–style gamepad with a transparent design. Since it targets Xbox One natively, it works automatically on PC and Xbox Series S/X. The included 2.4Ghz USB Dongle also supports Switch and Android with the right adapter (USB C), but I was not able to test those in time for this review. A Wireless Xbox Controller The QRD FERROX M5 comes in a familiar Xbox layout with Hall Effect joysticks, RGB rings around the sticks, and a magnetic & detachable clear shell that shows the internals. The controller feels very similar to a standard Xbox pad in terms of shape and size, but it’s slightly lighter at compared to the usual Xbox controller weight. The lighter weight makes it easier to hold for longer sessions without hand fatigue. The D-Pad is surprisingly good at dialing special moves feels as solid and responsive as the official Xbox controller, and that’s impressive at a lower price point. I spent a few days trying out the Mortal Kombat Legacy Kollection exclusively using this controller and I did not notice any difference at all. Capabilities From what I’ve tested, the controller performs extremely well for action games, fighting games, and shooters. The Hall Effect joysticks offer smooth movement and precise control with no drift issues. The D-Pad uses micro switches, so every input is tactile and accurate. The back triggers support an adaptive “trigger stop” mode, which shortens the travel distance for faster reaction time in FPS games or quicker blocks in Fighting Games. You also get 4 back macro buttons, turbo mode, and adjustable joystick sensitivity with deadzone options. Vibration strength and RGB lighting modes are also customizable. What can it do The FERROX M5 includes an 800mAh battery that lasts around 8 hours of gameplay. It only uses the 2.4Ghz wireless connection, not Bluetooth, so it always requires the included USB Dongle. The good thing is once you sync it with your Xbox or PC, you don’t need to sync it again—it carries over between both devices automatically. The 2.4G connection is stable and low latency, and the controller has a 3.5mm headphone jack for audio and mic support. It also features a quick calibration system to keep sticks and triggers accurate over time. The overall grip and shape feel close to the official Xbox controller, comfortable for long gaming sessions, and the transparent shell gives it a distinct look. Areas of improvement I initially had trouble charging the controller while playing because connecting it to the Xbox via USB would disable all inputs, making it unusable in wired mode. But luckily QRD Support helped and provided me with an updat - I had to connect it to a PC, download the firmware tool from QRD’s website, and update the controller manually. After installing the new firmware, the controller can now charge while being used normally on Xbox, so the issue is fully resolved. The Xbox button also behaves differently on Xbox, where the single press acts like hold and the hold acts like single press; this issue doesn’t appear on PC. Syncing with the dongle took a few attempts on both Xbox and PC, but once paired, it never needed syncing again. The wireless mode is strictly 2.4G with no Bluetooth support, so it cannot connect without the dongle, though the benefit is that one pairing works across both Xbox and PC. Final Summary ✅ Hall Effect Joystick ✅ Lights in the dark ✅ Good D-Pad for input dialing ✅ Light Controller ❌ First sync can be annoying on PC ❌ No bluetooth for phone usage - Dongle is necessary ❌ Needs an update for the Xbox Wired issues which require a PC The Controller is available on Amazon for $59.99, and will be part of the Black Friday Deals on their official website for even more discount! Amazon Link Website Link
1:00

[New Xbox Controller Review] #ad Special thanks to Qrdgame_offcial for supplying me with a review unit of their Ferrox M5 Xbox & PC Controller QRD Ferrox M5 The QRD Ferrox M5 is a Wireless Xbox One–style gamepad with a transparent design. Since it targets Xbox One natively, it works automatically on PC and Xbox Series S/X. The included 2.4Ghz USB Dongle also supports Switch and Android with the right adapter (USB C), but I was not able to test those in time for this review. A Wireless Xbox Controller The QRD FERROX M5 comes in a familiar Xbox layout with Hall Effect joysticks, RGB rings around the sticks, and a magnetic & detachable clear shell that shows the internals. The controller feels very similar to a standard Xbox pad in terms of shape and size, but it’s slightly lighter at compared to the usual Xbox controller weight. The lighter weight makes it easier to hold for longer sessions without hand fatigue. The D-Pad is surprisingly good at dialing special moves feels as solid and responsive as the official Xbox controller, and that’s impressive at a lower price point. I spent a few days trying out the Mortal Kombat Legacy Kollection exclusively using this controller and I did not notice any difference at all. Capabilities From what I’ve tested, the controller performs extremely well for action games, fighting games, and shooters. The Hall Effect joysticks offer smooth movement and precise control with no drift issues. The D-Pad uses micro switches, so every input is tactile and accurate. The back triggers support an adaptive “trigger stop” mode, which shortens the travel distance for faster reaction time in FPS games or quicker blocks in Fighting Games. You also get 4 back macro buttons, turbo mode, and adjustable joystick sensitivity with deadzone options. Vibration strength and RGB lighting modes are also customizable. What can it do The FERROX M5 includes an 800mAh battery that lasts around 8 hours of gameplay. It only uses the 2.4Ghz wireless connection, not Bluetooth, so it always requires the included USB Dongle. The good thing is once you sync it with your Xbox or PC, you don’t need to sync it again—it carries over between both devices automatically. The 2.4G connection is stable and low latency, and the controller has a 3.5mm headphone jack for audio and mic support. It also features a quick calibration system to keep sticks and triggers accurate over time. The overall grip and shape feel close to the official Xbox controller, comfortable for long gaming sessions, and the transparent shell gives it a distinct look. Areas of improvement I initially had trouble charging the controller while playing because connecting it to the Xbox via USB would disable all inputs, making it unusable in wired mode. But luckily QRD Support helped and provided me with an updat - I had to connect it to a PC, download the firmware tool from QRD’s website, and update the controller manually. After installing the new firmware, the controller can now charge while being used normally on Xbox, so the issue is fully resolved. The Xbox button also behaves differently on Xbox, where the single press acts like hold and the hold acts like single press; this issue doesn’t appear on PC. Syncing with the dongle took a few attempts on both Xbox and PC, but once paired, it never needed syncing again. The wireless mode is strictly 2.4G with no Bluetooth support, so it cannot connect without the dongle, though the benefit is that one pairing works across both Xbox and PC. Final Summary ✅ Hall Effect Joystick ✅ Lights in the dark ✅ Good D-Pad for input dialing ✅ Light Controller ❌ First sync can be annoying on PC ❌ No bluetooth for phone usage - Dongle is necessary ❌ Needs an update for the Xbox Wired issues which require a PC The Controller is available on Amazon for $59.99, and will be part of the Black Friday Deals on their official website for even more discount! Amazon Link Website Link

thethiny 🐰🍉

16,864 görüntüleme • 9 ay önce

Today we're launching Spellbook's biggest thing yet: Autonomous Contract Management It’s the first end-to-end AI infrastructure for contracts The world is speeding up. We are in one of the biggest investment cycles in decades. Behind every rocket launch, FIFA game, and datacenter, lies a web of hundreds of agreements. Agreements are the invisible threads that allow us to work together. We have infrastructure for finance (Stripe, Ramp), eCommerce (Shopify) and many business functions. But agreement infrastructure is lacking. This creates a painful bottleneck on our ability to work together. Online purchases take milliseconds. But agreements still take weeks. CLMs were supposed to be the answer, but were designed in a pre-AI era. AI fundamentally changed how computers can accelerate agreements. Spellbook is the most used AI contract review tool in the world, with ~5,000 customers in 80 countries Now we are expanding to deliver the first end-to-end, AI native stack for contracts. From the moment a deal lands in your inbox, to the day it renews years later, Spellbook’s AI supports teams every step of the way, across all business teams. It runs 24/7. While you sleep, it's reading the deals that came in overnight, flagging the parts that actually need a lawyer, and clearing the busywork that used to kill mornings. Nothing gets handed off between systems or slips after signature, and the intelligence stays with you for the life of the contract. AI for lawyers is great. There are 20 million lawyers in the world, and many are our users. But there are billions who touch contracts. We're excited to help everyone move faster and do more of what they love, by building the best AI-powered contract infrastructure in the world. Get early access:
1:13

Today we're launching Spellbook's biggest thing yet: Autonomous Contract Management It’s the first end-to-end AI infrastructure for contracts The world is speeding up. We are in one of the biggest investment cycles in decades. Behind every rocket launch, FIFA game, and datacenter, lies a web of hundreds of agreements. Agreements are the invisible threads that allow us to work together. We have infrastructure for finance (Stripe, Ramp), eCommerce (Shopify) and many business functions. But agreement infrastructure is lacking. This creates a painful bottleneck on our ability to work together. Online purchases take milliseconds. But agreements still take weeks. CLMs were supposed to be the answer, but were designed in a pre-AI era. AI fundamentally changed how computers can accelerate agreements. Spellbook is the most used AI contract review tool in the world, with ~5,000 customers in 80 countries Now we are expanding to deliver the first end-to-end, AI native stack for contracts. From the moment a deal lands in your inbox, to the day it renews years later, Spellbook’s AI supports teams every step of the way, across all business teams. It runs 24/7. While you sleep, it's reading the deals that came in overnight, flagging the parts that actually need a lawyer, and clearing the busywork that used to kill mornings. Nothing gets handed off between systems or slips after signature, and the intelligence stays with you for the life of the contract. AI for lawyers is great. There are 20 million lawyers in the world, and many are our users. But there are billions who touch contracts. We're excited to help everyone move faster and do more of what they love, by building the best AI-powered contract infrastructure in the world. Get early access:

Scott Stevenson

80,335 görüntüleme • 2 ay önce

🖼️🌈 NFT Support is live in the Rainbow Extension! 🌈 🖼️ The best-in-class NFT experience you know and love from the Rainbow mobile app is now available in your browser extension! Multi-Chain: Explore NFTs across ecosystems with ease—the Rainbow Extension seamlessly supports all of the chains Rainbow offers out-of-the-box, including Arbitrum, Optimism, Base, Polygon, BSC, and Zora. Choose-Your-Own Display: We believe in customization and user-centric design. Rainbow Extension allows you to personalize your NFT collection's display, allowing you to sort and switch between multiple display modes. Users with large collections will love the ability to sort their NFTs by Recent vs Alphabetical! Metadata and more: Looks rare, is that a grail? Inspecting your NFTs metadata and traits has never been simpler. With Rainbow Extension, you can effortlessly review key details such as metadata, traits, floor prices and the percentage of unique holders of any of your NFTs. Open up your browser and explore NFTs on your Rainbow Extension today. ✨ Find all of the changes in the latest update below ⬇️⏬⬇️⏬⬇️ Improvements 💞 → You can now view all of your NFTs and NFT collections in Rainbow, just like the app. Head over to the new NFTs tab to view your Gallery and explore your NFTs with rich insights, including Floor Prices, Unique Owners, Rarity, and more → Drastically improved image fetching and rendering for Tokens, NFTs, and Avatars to make Rainbow feel even faster Bug fixes 🐞 → Resolved interface shift when loading Tokens and Token Charts → Improved Onboarding Secret Recovery Phrase verification language
0:30

🖼️🌈 NFT Support is live in the Rainbow Extension! 🌈 🖼️ The best-in-class NFT experience you know and love from the Rainbow mobile app is now available in your browser extension! Multi-Chain: Explore NFTs across ecosystems with ease—the Rainbow Extension seamlessly supports all of the chains Rainbow offers out-of-the-box, including Arbitrum, Optimism, Base, Polygon, BSC, and Zora. Choose-Your-Own Display: We believe in customization and user-centric design. Rainbow Extension allows you to personalize your NFT collection's display, allowing you to sort and switch between multiple display modes. Users with large collections will love the ability to sort their NFTs by Recent vs Alphabetical! Metadata and more: Looks rare, is that a grail? Inspecting your NFTs metadata and traits has never been simpler. With Rainbow Extension, you can effortlessly review key details such as metadata, traits, floor prices and the percentage of unique holders of any of your NFTs. Open up your browser and explore NFTs on your Rainbow Extension today. ✨ Find all of the changes in the latest update below ⬇️⏬⬇️⏬⬇️ Improvements 💞 → You can now view all of your NFTs and NFT collections in Rainbow, just like the app. Head over to the new NFTs tab to view your Gallery and explore your NFTs with rich insights, including Floor Prices, Unique Owners, Rarity, and more → Drastically improved image fetching and rendering for Tokens, NFTs, and Avatars to make Rainbow feel even faster Bug fixes 🐞 → Resolved interface shift when loading Tokens and Token Charts → Improved Onboarding Secret Recovery Phrase verification language

Rainbow

51,848 görüntüleme • 2 yıl önce

I finally finished my Rust version of Mario Zechner's (Mario Zechner) excellent Pi Agent, which I made with his blessing and which is called pi_agent_rust. You can get it here: If you're not familiar with Pi, it's a minimalist and extensible agent harness (similar to Claude Code and Codex) and, among other uses, serves as the core agent harness inside the OpenClaw project. I say my Rust "version" instead of "port" because it's really quite different in how it's implemented for it to be called a port. Arguably, the incremental functionality in the implementation was more complex than the rest of the project combined. Still, it provides the same features and functionality as the original, and is proven to be compatible with hundreds of popular extensions to Pi (the conformance harness shows 224 out of 224 extensions working perfectly). But the way it's architected has some major changes. Pi Agent relies on node or bun to provide access to the filesystem and for various other tasks, and that is also how Pi's extension system works. I decided early on that I didn't want to do things that way. Instead, I wanted to integrate that functionality directly into the binary itself; that is, to provide equivalent functionality for everything that would normally be provided by node/bun in the original. I did this for several reasons: one, it's a lot more performant in terms of footprint and latency. On realistic end-to-end large-session workloads (not toy microbenchmarks), pi_agent_rust is now: - 4.95x faster than legacy Node and 2.80x faster than legacy Bun at 1mm-token session scale - 4.32x faster than legacy Node and 2.14x faster than legacy Bun at 5mm-token session scale - ~8x to ~13x lower RSS memory footprint in those same scenarios But the other reason is security and control: by handling everything internally in an end-to-end way, we can do all sorts of clever things to harden the system against insecure or malicious extensions. Those extensions no longer have direct access to the ambient filesystem: they now need to go through pi_agent_rust, and we can analyze extensions carefully before ever running them and also block things that look suspicious at runtime. In practice that means explicit capability-gated hostcalls, with policy/risk/quota enforcement and runtime telemetry/auditability. In order to do all this, I had to effectively build the missing runtime substrate from scratch in Rust, not just translate TypeScript syntax: - define and implement a typed hostcall ABI for extension->host interactions - build native Rust connectors for tool/exec/http/session/ui/events instead of ambient Node/Bun access - implement a compatibility/shim layer so real-world Pi extensions still behave correctly - add capability policy evaluation, runtime risk scoring, per-extension quotas, and audit telemetry on the execution path - wire the whole thing through structured concurrency (asupersync) so cancellation/lifetimes are deterministic and failure handling is explicit - build a conformance + benchmark harness large enough to validate behavior/perf across hundreds of extensions and realistic long-session workloads This was a full re-architecture of the execution model while preserving the Pi workflow and extension ecosystem. And indeed, this aspect of it dwarfs the entire rest of the project in size and complexity. To put hard numbers on that: the extension/runtime/security subsystem alone is now about 86.5k lines of Rust across src/extensions.rs (~48.1k), src/extensions_js.rs (~23.4k), src/extension_dispatcher.rs (~13.4k), and src/extension_index.rs (~1.7k), with roughly 2.5k callable units in just those files. For context, the original Pi coding-agent production code is about 27.4k lines total. So this one subsystem by itself is roughly 3.2x the size of the original harness, which is why calling this a “port” would seriously undersell what had to be built. And on top of that, pi_agent_rust introduces a bunch of genuinely new capabilities beyond the legacy harness, not just a faster core: - Security and enforcement are materially stronger at runtime: capability-gated hostcalls with explicit policy profiles (safe/balanced/permissive), per-extension trust lifecycle (pending -> acknowledged -> trusted -> killed), explicit kill-switch operations, and audited state transitions. - Shell execution mediation is deterministic and argument-aware: rule/feature-based risk scoring plus heredoc AST inspection (dcg_rule_hit, dcg_heredoc_hit) before spawn, instead of relying on coarse deny patterns. - Containment and forensics are first-class: tamper-evident runtime risk ledger tooling (verify/replay/calibrate), unified incident evidence bundles, and forced-compat controls that let you contain issues without disabling the whole extension system. - The extension runtime architecture is native: JS extensions run in embedded QuickJS with typed hostcall boundaries and Rust-native connectors for tool/exec/http/session/ui/events, plus compatibility shims for real-world legacy extensions. - Runtime behavior under load is explicitly engineered: deterministic hostcall reactor mesh, fast-lane vs compat-lane routing, and warm-isolate prewarm handoff for more predictable throughput and latency under contention. - Long-session reliability is upgraded: JSONL v3 sessions with indexed sidecar acceleration and optional SQLite-backed sessions, plus operational controls via --session-durability, --no-migrations, and migrate. - Provider and auth coverage are broader and more operationally explicit: native Anthropic/OpenAI (Chat + Responses)/Gemini/Cohere/Azure/Bedrock/Vertex/Copilot/GitLab plus large OpenAI-compatible routing; pi --list-providers currently shows 90 providers with aliases and required auth env keys. - Auth is not just API keys: OAuth (Anthropic/OpenAI Codex/Gemini CLI/Antigravity/Kimi/Copilot/GitLab plus extension-defined OAuth), AWS credential chains (Bedrock), service-key exchange (SAP AI Core), and bearer-token flows. - Operator tooling is stronger: pi doctor supports scoped checks (config, dirs, auth, shell, sessions, extensions), machine-readable output (--format json|markdown), and safe auto-remediation (--fix). - Extension/package lifecycle workflows are built in: install, remove, update, update-index, search, info, and list. I want to thank Mario for making a great harness and for not telling me to get lost when I asked him if he was OK with me porting it to Rust. I may give him a hard time in jest about not going "full clanker," but that doesn't mean that I don't respect his work a huge amount. PS: There could still be bugs. If you find some, please let me know in GitHub Issues and I'll fix them same day. There's always a tradeoff between perfect and getting stuff out the door and I felt like it was time to release this.
0:38

I finally finished my Rust version of Mario Zechner's (Mario Zechner) excellent Pi Agent, which I made with his blessing and which is called pi_agent_rust. You can get it here: If you're not familiar with Pi, it's a minimalist and extensible agent harness (similar to Claude Code and Codex) and, among other uses, serves as the core agent harness inside the OpenClaw project. I say my Rust "version" instead of "port" because it's really quite different in how it's implemented for it to be called a port. Arguably, the incremental functionality in the implementation was more complex than the rest of the project combined. Still, it provides the same features and functionality as the original, and is proven to be compatible with hundreds of popular extensions to Pi (the conformance harness shows 224 out of 224 extensions working perfectly). But the way it's architected has some major changes. Pi Agent relies on node or bun to provide access to the filesystem and for various other tasks, and that is also how Pi's extension system works. I decided early on that I didn't want to do things that way. Instead, I wanted to integrate that functionality directly into the binary itself; that is, to provide equivalent functionality for everything that would normally be provided by node/bun in the original. I did this for several reasons: one, it's a lot more performant in terms of footprint and latency. On realistic end-to-end large-session workloads (not toy microbenchmarks), pi_agent_rust is now: - 4.95x faster than legacy Node and 2.80x faster than legacy Bun at 1mm-token session scale - 4.32x faster than legacy Node and 2.14x faster than legacy Bun at 5mm-token session scale - ~8x to ~13x lower RSS memory footprint in those same scenarios But the other reason is security and control: by handling everything internally in an end-to-end way, we can do all sorts of clever things to harden the system against insecure or malicious extensions. Those extensions no longer have direct access to the ambient filesystem: they now need to go through pi_agent_rust, and we can analyze extensions carefully before ever running them and also block things that look suspicious at runtime. In practice that means explicit capability-gated hostcalls, with policy/risk/quota enforcement and runtime telemetry/auditability. In order to do all this, I had to effectively build the missing runtime substrate from scratch in Rust, not just translate TypeScript syntax: - define and implement a typed hostcall ABI for extension->host interactions - build native Rust connectors for tool/exec/http/session/ui/events instead of ambient Node/Bun access - implement a compatibility/shim layer so real-world Pi extensions still behave correctly - add capability policy evaluation, runtime risk scoring, per-extension quotas, and audit telemetry on the execution path - wire the whole thing through structured concurrency (asupersync) so cancellation/lifetimes are deterministic and failure handling is explicit - build a conformance + benchmark harness large enough to validate behavior/perf across hundreds of extensions and realistic long-session workloads This was a full re-architecture of the execution model while preserving the Pi workflow and extension ecosystem. And indeed, this aspect of it dwarfs the entire rest of the project in size and complexity. To put hard numbers on that: the extension/runtime/security subsystem alone is now about 86.5k lines of Rust across src/extensions.rs (~48.1k), src/extensions_js.rs (~23.4k), src/extension_dispatcher.rs (~13.4k), and src/extension_index.rs (~1.7k), with roughly 2.5k callable units in just those files. For context, the original Pi coding-agent production code is about 27.4k lines total. So this one subsystem by itself is roughly 3.2x the size of the original harness, which is why calling this a “port” would seriously undersell what had to be built. And on top of that, pi_agent_rust introduces a bunch of genuinely new capabilities beyond the legacy harness, not just a faster core: - Security and enforcement are materially stronger at runtime: capability-gated hostcalls with explicit policy profiles (safe/balanced/permissive), per-extension trust lifecycle (pending -> acknowledged -> trusted -> killed), explicit kill-switch operations, and audited state transitions. - Shell execution mediation is deterministic and argument-aware: rule/feature-based risk scoring plus heredoc AST inspection (dcg_rule_hit, dcg_heredoc_hit) before spawn, instead of relying on coarse deny patterns. - Containment and forensics are first-class: tamper-evident runtime risk ledger tooling (verify/replay/calibrate), unified incident evidence bundles, and forced-compat controls that let you contain issues without disabling the whole extension system. - The extension runtime architecture is native: JS extensions run in embedded QuickJS with typed hostcall boundaries and Rust-native connectors for tool/exec/http/session/ui/events, plus compatibility shims for real-world legacy extensions. - Runtime behavior under load is explicitly engineered: deterministic hostcall reactor mesh, fast-lane vs compat-lane routing, and warm-isolate prewarm handoff for more predictable throughput and latency under contention. - Long-session reliability is upgraded: JSONL v3 sessions with indexed sidecar acceleration and optional SQLite-backed sessions, plus operational controls via --session-durability, --no-migrations, and migrate. - Provider and auth coverage are broader and more operationally explicit: native Anthropic/OpenAI (Chat + Responses)/Gemini/Cohere/Azure/Bedrock/Vertex/Copilot/GitLab plus large OpenAI-compatible routing; pi --list-providers currently shows 90 providers with aliases and required auth env keys. - Auth is not just API keys: OAuth (Anthropic/OpenAI Codex/Gemini CLI/Antigravity/Kimi/Copilot/GitLab plus extension-defined OAuth), AWS credential chains (Bedrock), service-key exchange (SAP AI Core), and bearer-token flows. - Operator tooling is stronger: pi doctor supports scoped checks (config, dirs, auth, shell, sessions, extensions), machine-readable output (--format json|markdown), and safe auto-remediation (--fix). - Extension/package lifecycle workflows are built in: install, remove, update, update-index, search, info, and list. I want to thank Mario for making a great harness and for not telling me to get lost when I asked him if he was OK with me porting it to Rust. I may give him a hard time in jest about not going "full clanker," but that doesn't mean that I don't respect his work a huge amount. PS: There could still be bugs. If you find some, please let me know in GitHub Issues and I'll fix them same day. There's always a tradeoff between perfect and getting stuff out the door and I felt like it was time to release this.

Jeffrey Emanuel

136,133 görüntüleme • 6 ay önce

The absolute trail camera jackpot—we just captured the second known video ever, as far we are aware, of a wolf attacking and killing a beaver. And this was a pretty sizable beaver too! How amazing is that!? Earlier this year, we posted rare footage we captured of a wolf in our area almost catching a beaver on a dam. That was really neat to see but in that video, the wolf never made contact with the beaver and the beaver narrowly escaped. This beaver wasn’t so lucky. In this video from Sept 17, the beaver left the water at 1:09 A.M. to go forage on a 49 m/160 ft long trail—a pretty long trail for a beaver. Just four minutes later, the beaver was attacked by Wolf V094, the breeding male of the Half-Moon Pack. A brief chaotic struggle ensued and then all went quiet as the wolf and beaver moved out of frame. About 19 hr later, we captured a video of a different wolf walking in front of the camera with a beaver head in its mouth. A few days later, we hiked out and found the bloody remains of this kill not far from our camera. The beaver put up a valiant fight and at a few points was only a few meters from the safety of water. If the beaver could have just freed itself for a few moments, it might have lived. But it couldn’t…there appears to be a thin margin for beavers between life and death when on land! The only other video observation we know of was recorded in Quebec in Fall 2015. Given how rare that was, we worked with the person who recorded the video and wrote a scientific paper on the observation trying to glean as much insight as we could from it. Bit of backstory on the video: The footage was captured by Dani Freund, a graduate student at the University of Minnesota, and two field technicians—Sage Patchett and Olivia Jensen—that are assisting Dani with her work. Dani’s graduate work is looking at how wolf predation and other factors influence beavers stress levels. In other words, do beavers in ponds with higher wolf activity levels have higher stress levels than beavers in ponds that have lower wolf activity levels? Or are beaver stress levels driven largely by other factors such as food availability or competition from neighboring beavers? The way Dani is examining beaver stress is by collecting beaver hair samples and measuring stress levels in the hair. And her hair collection method entails using a strand of barbed wire that the beavers crawl over to get on land (you can see this in the video). When the beavers crawl over the wire, tufts of hair get caught on the wire and then those hair samples can be collected and analyzed. This is a common method used to get hair samples —biologists often refer to barbed wire and other similar contraptions devised to collect hair from wildlife as “hair snares”. All this to say, this camera, which was kindly lent to us from the Offal Wildlife Watching Project at the University of Minnesota, was not set here in the hopes of capturing a wolf killing a beaver but rather to monitor beavers crawling over the hair snare. But sometimes it is better to be lucky than good! And we certainly think we had a stroke of luck. We have had a lot of cameras out over the past 9 years in the area and we have never captured anything like this!
1:12

The absolute trail camera jackpot—we just captured the second known video ever, as far we are aware, of a wolf attacking and killing a beaver. And this was a pretty sizable beaver too! How amazing is that!? Earlier this year, we posted rare footage we captured of a wolf in our area almost catching a beaver on a dam. That was really neat to see but in that video, the wolf never made contact with the beaver and the beaver narrowly escaped. This beaver wasn’t so lucky. In this video from Sept 17, the beaver left the water at 1:09 A.M. to go forage on a 49 m/160 ft long trail—a pretty long trail for a beaver. Just four minutes later, the beaver was attacked by Wolf V094, the breeding male of the Half-Moon Pack. A brief chaotic struggle ensued and then all went quiet as the wolf and beaver moved out of frame. About 19 hr later, we captured a video of a different wolf walking in front of the camera with a beaver head in its mouth. A few days later, we hiked out and found the bloody remains of this kill not far from our camera. The beaver put up a valiant fight and at a few points was only a few meters from the safety of water. If the beaver could have just freed itself for a few moments, it might have lived. But it couldn’t…there appears to be a thin margin for beavers between life and death when on land! The only other video observation we know of was recorded in Quebec in Fall 2015. Given how rare that was, we worked with the person who recorded the video and wrote a scientific paper on the observation trying to glean as much insight as we could from it. Bit of backstory on the video: The footage was captured by Dani Freund, a graduate student at the University of Minnesota, and two field technicians—Sage Patchett and Olivia Jensen—that are assisting Dani with her work. Dani’s graduate work is looking at how wolf predation and other factors influence beavers stress levels. In other words, do beavers in ponds with higher wolf activity levels have higher stress levels than beavers in ponds that have lower wolf activity levels? Or are beaver stress levels driven largely by other factors such as food availability or competition from neighboring beavers? The way Dani is examining beaver stress is by collecting beaver hair samples and measuring stress levels in the hair. And her hair collection method entails using a strand of barbed wire that the beavers crawl over to get on land (you can see this in the video). When the beavers crawl over the wire, tufts of hair get caught on the wire and then those hair samples can be collected and analyzed. This is a common method used to get hair samples —biologists often refer to barbed wire and other similar contraptions devised to collect hair from wildlife as “hair snares”. All this to say, this camera, which was kindly lent to us from the Offal Wildlife Watching Project at the University of Minnesota, was not set here in the hopes of capturing a wolf killing a beaver but rather to monitor beavers crawling over the hair snare. But sometimes it is better to be lucky than good! And we certainly think we had a stroke of luck. We have had a lot of cameras out over the past 9 years in the area and we have never captured anything like this!

Voyageurs Wolf Project

71,932 görüntüleme • 2 yıl önce

NEWS: Ford has officially unveiled its new electric vehicle platform and its next-generation vehicle production system. Ford Universal EV Platform Details: • Reduces parts by 20% versus a typical vehicle, with 25% fewer fasteners, 40% fewer workstations dock-to-dock in the plant and 15% faster assembly time. • Ford says "Lower cost of ownership over five years than a three-year-old used Tesla Model Y." • Wiring harness in the new midsize truck; more than 4,000 feet (1.3 kilometers) shorter and 10 kilograms lighter than the one used in our first-gen electric SUV • Lithium iron phosphate (LFP) prismatic batteries enable space and weight and cost savings. It's a structural sub-assembly that also serves as the vehicle’s floor • The new midsize truck is forecasted to have more passenger room than the latest Toyota RAV4, even before you include the frunk and the truck bed. You can lock your surfboards or other gear in that bed – no roof rack or trailer hitch racks required • The new midsize truck will have a targeted 0-60 time as fast as a Mustang EcoBoost, with more downforce. Ford Universal EV Production System Details: • Transforming the traditional assembly line into an “assembly tree”. Instead of one long conveyor, three sub-assemblies run down their own lines simultaneously and then join together • Large single-piece aluminum unicastings replace dozens of smaller parts, enabling the front and rear of the vehicle to be assembled separately. • The front and rear are then combined with the third sub-assembly, the structural battery, which is independently assembled with seats, consoles and carpeting, to form the vehicle. • Parts travel down the assembly tree to operators in a kit. Within that kit, all fasteners, scanners and power tools required for the job are included. • Assembly of the new midsize electric truck could be up to 40% faster than Louisville Assembly Plant’s current vehicles. Some of that time will be reinvested into insourcing and automation to improve quality and cost, ultimately netting a 15% speed improvement. Ford: "A simple, efficient, flexible ecosystem to deliver a family of affordable, electric, software-defined vehicles – the first of which is a midsize, four-door electric pickup that will be assembled at Ford’s Louisville Assembly Plant for U.S. and export markets. Its launch is scheduled for 2027. It will have a target starting MSRP at about $30,000 USD." Ford says it is going to deliver a family of affordable, adaptable electric vehicles that offer multiple body styles for work and play — including for export — and whose LFP batteries will be assembled in America, not imported from China. Additional specifications for the midsize electric truck – including reveal date, starting price, EPA-estimated battery range, battery sizes and charge times – will be communicated later. Ford’s $2B investment in their Louisville Assembly Plant is in addition to its previously announced $3 billion investment in BlueOval Battery Park Michigan, which will build the prismatic LFP batteries for the midsize electric truck starting next year. Together, the investments total approximately $5 billion, and between the two plants, Ford expects to create or secure nearly 4,000 direct jobs.
4:05

NEWS: Ford has officially unveiled its new electric vehicle platform and its next-generation vehicle production system. Ford Universal EV Platform Details: • Reduces parts by 20% versus a typical vehicle, with 25% fewer fasteners, 40% fewer workstations dock-to-dock in the plant and 15% faster assembly time. • Ford says "Lower cost of ownership over five years than a three-year-old used Tesla Model Y." • Wiring harness in the new midsize truck; more than 4,000 feet (1.3 kilometers) shorter and 10 kilograms lighter than the one used in our first-gen electric SUV • Lithium iron phosphate (LFP) prismatic batteries enable space and weight and cost savings. It's a structural sub-assembly that also serves as the vehicle’s floor • The new midsize truck is forecasted to have more passenger room than the latest Toyota RAV4, even before you include the frunk and the truck bed. You can lock your surfboards or other gear in that bed – no roof rack or trailer hitch racks required • The new midsize truck will have a targeted 0-60 time as fast as a Mustang EcoBoost, with more downforce. Ford Universal EV Production System Details: • Transforming the traditional assembly line into an “assembly tree”. Instead of one long conveyor, three sub-assemblies run down their own lines simultaneously and then join together • Large single-piece aluminum unicastings replace dozens of smaller parts, enabling the front and rear of the vehicle to be assembled separately. • The front and rear are then combined with the third sub-assembly, the structural battery, which is independently assembled with seats, consoles and carpeting, to form the vehicle. • Parts travel down the assembly tree to operators in a kit. Within that kit, all fasteners, scanners and power tools required for the job are included. • Assembly of the new midsize electric truck could be up to 40% faster than Louisville Assembly Plant’s current vehicles. Some of that time will be reinvested into insourcing and automation to improve quality and cost, ultimately netting a 15% speed improvement. Ford: "A simple, efficient, flexible ecosystem to deliver a family of affordable, electric, software-defined vehicles – the first of which is a midsize, four-door electric pickup that will be assembled at Ford’s Louisville Assembly Plant for U.S. and export markets. Its launch is scheduled for 2027. It will have a target starting MSRP at about $30,000 USD." Ford says it is going to deliver a family of affordable, adaptable electric vehicles that offer multiple body styles for work and play — including for export — and whose LFP batteries will be assembled in America, not imported from China. Additional specifications for the midsize electric truck – including reveal date, starting price, EPA-estimated battery range, battery sizes and charge times – will be communicated later. Ford’s $2B investment in their Louisville Assembly Plant is in addition to its previously announced $3 billion investment in BlueOval Battery Park Michigan, which will build the prismatic LFP batteries for the midsize electric truck starting next year. Together, the investments total approximately $5 billion, and between the two plants, Ford expects to create or secure nearly 4,000 direct jobs.

Sawyer Merritt

202,060 görüntüleme • 1 yıl önce

Long $MCB.TO — oilfield automation and services, $90mm CAD market cap. This is a 111 year old company that’s been providing oilfield equipment for over 50 years. The current CEO has been with the company since 2002. Profitable, growing, trading at 9x TTM earnings backing out net cash, and beginning to introduce a pretty revolutionary full product suite to automate casing running - the process of lowering sections of steel casing into an open wellbore to act as a liner, reinforcing the wellbore and acting as a channel through which oil and gas can be extracted. This is a pretty critical step in drilling any new well, and has applications in both onshore and offshore oil and gas. If you guys have seen those viral videos of oilfield workers running casing, you know how dangerous and physically demanding this job looks. It’s extremely tough stuff — comes with a lot of injuries, it’s very difficult to hire for, and because the work sucks so much and nobody wants to do it, the pay needs to be fantastic. It’s a painful and expensive process for operators and oilfield workers alike, see the attached content. $MCB.TO has spent 6 years developing a product suite that can effectively automate this process, more than halving the usual need for skilled workers, with labour costs typically making up 50% of casing running costs. $MCB.TO ‘s automated product suite increases safety, efficiency, and cuts costs significantly for oilfield operators to complete this process. Their automated product suite here includes a SaaS package, without which none of the other equipment works. Their software facilities communication between all the necessary pieces of equipment, monitors torque levels, analyzes casing rotation speed, and it includes a sensor suite that can monitor for various extreme conditions during a casing run — all of this automation significantly decreases the workload for casing crews and eliminates a significant chunk of the involved labor. It can also ensure higher wellbore integrity. They’re first to market with this stuff — competitors have bits and pieces of separate equipment, but they’ve got the full package, and it’s a much better offering. It would likely take a similar amount of time and investment for competitors to copy this suite, and some of their new high-tech equipment is specifically IP protected. The margins on their software system will be sweet, much higher than current mid-30s gross margin. So you’ve got high incremental margin expansion baked into every product suite these guys sell, and they’re going to see significant topline growth given the scale of the problem they’re addressing and the willingness with which operators are going to integrate this tech. The existing business is already solid. No debt, $10mm CAD cash position, enough working capital to fund their new system. They’ve stayed in business for over a century, I’m sure they know what they’re doing. Current revenues are a 50/50 split between Americas and ROW, shipping to 50 countries any given year. They’ve already got a 40% recurring/repeat revenue split selling oilfield consumables, replacement products, and servicing equipment. They’ve already begun rolling out their new product suite and receiving SaaS contracts. I’m expecting them to see significant topline growth from their new products with a lot of margin expansion to boot. They pay a 3% dividend and are buying back shares here. Dwindling rig counts are a risk. I can’t forecast where the price of oil will go or how the drilling process will shake out, but in previous years they have increased sales despite dwindling rig counts simply because their technology is a better solution — I don’t see why they couldn’t do that again. When oil prices eventually head back up, rig counts will follow suit, and many oil operators will likely go straight to $MCB.TO ‘s product suite. Still some more research I need to do but I think these guys will do well. Long 12% allocation @ $3.26 CAD.
0:49

Long $MCB.TO — oilfield automation and services, $90mm CAD market cap. This is a 111 year old company that’s been providing oilfield equipment for over 50 years. The current CEO has been with the company since 2002. Profitable, growing, trading at 9x TTM earnings backing out net cash, and beginning to introduce a pretty revolutionary full product suite to automate casing running - the process of lowering sections of steel casing into an open wellbore to act as a liner, reinforcing the wellbore and acting as a channel through which oil and gas can be extracted. This is a pretty critical step in drilling any new well, and has applications in both onshore and offshore oil and gas. If you guys have seen those viral videos of oilfield workers running casing, you know how dangerous and physically demanding this job looks. It’s extremely tough stuff — comes with a lot of injuries, it’s very difficult to hire for, and because the work sucks so much and nobody wants to do it, the pay needs to be fantastic. It’s a painful and expensive process for operators and oilfield workers alike, see the attached content. $MCB.TO has spent 6 years developing a product suite that can effectively automate this process, more than halving the usual need for skilled workers, with labour costs typically making up 50% of casing running costs. $MCB.TO ‘s automated product suite increases safety, efficiency, and cuts costs significantly for oilfield operators to complete this process. Their automated product suite here includes a SaaS package, without which none of the other equipment works. Their software facilities communication between all the necessary pieces of equipment, monitors torque levels, analyzes casing rotation speed, and it includes a sensor suite that can monitor for various extreme conditions during a casing run — all of this automation significantly decreases the workload for casing crews and eliminates a significant chunk of the involved labor. It can also ensure higher wellbore integrity. They’re first to market with this stuff — competitors have bits and pieces of separate equipment, but they’ve got the full package, and it’s a much better offering. It would likely take a similar amount of time and investment for competitors to copy this suite, and some of their new high-tech equipment is specifically IP protected. The margins on their software system will be sweet, much higher than current mid-30s gross margin. So you’ve got high incremental margin expansion baked into every product suite these guys sell, and they’re going to see significant topline growth given the scale of the problem they’re addressing and the willingness with which operators are going to integrate this tech. The existing business is already solid. No debt, $10mm CAD cash position, enough working capital to fund their new system. They’ve stayed in business for over a century, I’m sure they know what they’re doing. Current revenues are a 50/50 split between Americas and ROW, shipping to 50 countries any given year. They’ve already got a 40% recurring/repeat revenue split selling oilfield consumables, replacement products, and servicing equipment. They’ve already begun rolling out their new product suite and receiving SaaS contracts. I’m expecting them to see significant topline growth from their new products with a lot of margin expansion to boot. They pay a 3% dividend and are buying back shares here. Dwindling rig counts are a risk. I can’t forecast where the price of oil will go or how the drilling process will shake out, but in previous years they have increased sales despite dwindling rig counts simply because their technology is a better solution — I don’t see why they couldn’t do that again. When oil prices eventually head back up, rig counts will follow suit, and many oil operators will likely go straight to $MCB.TO ‘s product suite. Still some more research I need to do but I think these guys will do well. Long 12% allocation @ $3.26 CAD.

Welfare Capital (Jack)

23,541 görüntüleme • 1 yıl önce

AgiBot has formally unveiled its G2 humanoid robot, a system designed to transition into various industries and liberate humans from repetitive labor. G2 features high-performance joints, precision torque sensors, and an advanced spatial perception system, supporting quick deployment and multi-modal voice interaction. ► Factory Floor Performance: The G2 is engineered to industrial standards. In a safety belt lock production line, robots collaborate with human workers, performing tasks like pressing lock cores. The G2 collects production data to continuously train and iterate models (local server deployment ensures data privacy), steadily improving its operational ability. ► Mobility & Safety: The G2 navigates narrow factory aisles using dual LiDAR and full-panorama vision for environment sensing and collision detection. Its chassis is designed to overcome common obstacles (speed bumps, elevator gaps). It supports 24/7 continuous operation via autonomous return-to-charge and battery swapping. ► Humanoid Design Advantage: The G2's design includes a three-degree-of-freedom flexible waist, allowing it to mimic natural human movements like bending and side-leaning. This dramatically expands its operational workspace and enables seamless integration into existing human-centric production lines without costly modifications. ► Advanced Dexterity & Learning (Lab): The new G02 arm is the world's first cross-moment arm, featuring high-precision joint torque sensors that allow it to precisely sense external forces and adjust stiffness, mimicking human hand compliance. Using Real-Machine Reinforcement Learning (RL), the G2 can learn complex, delicate tasks like memory stick insertion in about one hour with minimal human intervention. ► Logistics & Grasping: In logistics sorting, the G2 uses a 19-degree-of-freedom mechanical dexterous hand (20N maximum fingertip force; 35kg capacity for hard objects) equipped with 3D tactile sensors to ensure it grasps securely without damaging items. Its full-body articulation (waist and legs) aids grasping and posture adjustment. ► Model & Data: G2's intelligence is powered by the Go-One Large Embodied Model (VLA architecture: Vision-Language-Latent Action) and the GE-One World Model (vision-centric predictive modeling), trained using the AgiBot Word true-machine dataset (over 500k downloads). ► Service & Interaction: The G2 is deployed as a guide/receptionist in settings like art museums. It uses its high-DOF head, arms, and waist to point to exhibits, maintains eye contact while navigating difficult spaces (chassis walks forward, body faces backward), handles specialized and random queries, and uses proactive safety features (stops movement, issues warnings) when people get too close.
2:49

AgiBot has formally unveiled its G2 humanoid robot, a system designed to transition into various industries and liberate humans from repetitive labor. G2 features high-performance joints, precision torque sensors, and an advanced spatial perception system, supporting quick deployment and multi-modal voice interaction. ► Factory Floor Performance: The G2 is engineered to industrial standards. In a safety belt lock production line, robots collaborate with human workers, performing tasks like pressing lock cores. The G2 collects production data to continuously train and iterate models (local server deployment ensures data privacy), steadily improving its operational ability. ► Mobility & Safety: The G2 navigates narrow factory aisles using dual LiDAR and full-panorama vision for environment sensing and collision detection. Its chassis is designed to overcome common obstacles (speed bumps, elevator gaps). It supports 24/7 continuous operation via autonomous return-to-charge and battery swapping. ► Humanoid Design Advantage: The G2's design includes a three-degree-of-freedom flexible waist, allowing it to mimic natural human movements like bending and side-leaning. This dramatically expands its operational workspace and enables seamless integration into existing human-centric production lines without costly modifications. ► Advanced Dexterity & Learning (Lab): The new G02 arm is the world's first cross-moment arm, featuring high-precision joint torque sensors that allow it to precisely sense external forces and adjust stiffness, mimicking human hand compliance. Using Real-Machine Reinforcement Learning (RL), the G2 can learn complex, delicate tasks like memory stick insertion in about one hour with minimal human intervention. ► Logistics & Grasping: In logistics sorting, the G2 uses a 19-degree-of-freedom mechanical dexterous hand (20N maximum fingertip force; 35kg capacity for hard objects) equipped with 3D tactile sensors to ensure it grasps securely without damaging items. Its full-body articulation (waist and legs) aids grasping and posture adjustment. ► Model & Data: G2's intelligence is powered by the Go-One Large Embodied Model (VLA architecture: Vision-Language-Latent Action) and the GE-One World Model (vision-centric predictive modeling), trained using the AgiBot Word true-machine dataset (over 500k downloads). ► Service & Interaction: The G2 is deployed as a guide/receptionist in settings like art museums. It uses its high-DOF head, arms, and waist to point to exhibits, maintains eye contact while navigating difficult spaces (chassis walks forward, body faces backward), handles specialized and random queries, and uses proactive safety features (stops movement, issues warnings) when people get too close.

RoboHub🤖

46,733 görüntüleme • 10 ay önce

C3yoyodesign WYYC 2026 Himeji Release News 【13】 "Infusing 1A Craftsmanship into the 2A Soul" — Reinforced Traditional Contest Geometry × Subverting Traditional Design Language! Announcing the Very First Signature Yo-Yo for 2A HK Champion & World 2nd place Henson Chan Chun Hay: The Dual-Material Metal Ring Adjustable Next-Gen Contest 2A Yo-Yo "REVOLVE"! The name "REVOLVE" is direct and clear—symbolizing the ultimate core of 2A looping play: "Revolving." With 24 years of yo-yo experience, multiple Hong Kong 2A Champion titles, and a World Yo-Yo Contest 2A 2nd title under his belt, Henson Chan Chun Hay brings a wealth of expertise to his signature designs. The previously released Seeker (by YOU), proposed by Henson, marked an essential first step in his quest to push 2A evolution. After officially joining Team C3, Henson constantly contemplated a single question: How can we elevate modern 2A yo-yos into their next revolutionary transformation? The spark behind "REVOLVE" came from a casual observation by a non-yoyoer friend: "1A yo-yos look so high-end and luxurious that everyone wants to try them." This resonated deeply with Henson—2A players deserve a beautifully crafted, premium-looking yo-yo that doesn't look like a toy. Revolutionary Philosophy: 1A Engineering Meets Dual-Material Aluminum Rim Performance There is a common myth that 2A yo-yos must compromise between fast looping and long spin times. Henson breaks this misconception: Fast looping actually requires exceptionally fast and stable spinning—enabling players to achieve both blazing looping speeds AND ultra-long spin times simultaneously! Removing Side Caps × Precision Aluminum Rim: The Revolve ditches traditional 2A plastic side caps in favor of an integrated inner aluminum ring weighing a massive 5g (with the yo-yo body kept at a sleek 19.6g). It maintains the most familiar sizing so players can feel right at home with no grip readjustment needed. Why an Internal Metal Rim Instead of an Outer Rim? To preserve the balanced, natural response required for proper looping feel and trajectory. Placing the metal rim extremely close to the gap area stabilizes the yo-yo's trajectory, making loops smoother and easier to control while delivering unmatched spin speeds that blow past any standard 2A yo-yo on the market. This dramatically boosts combo length and trick completion rates. Tailored for Modern Slick 24 Strings: Through rigorous testing across multiple prototypes, the weight distribution was perfected to optimize play with Slick 24 (Normal) strings-the standard choice for modern yoyoing. Technical Specifications & Instant Gap Micro-Adjustment Specifications: Diameter 58.42 mm / Width 27.9 mm / Weight 51.5 g. Precision Metal Rim Weight Distribution: Revolve specifically enhances inner body weight distribution, significantly increasing rotational inertia to deliver unprecedented spin power and rock-solid stability. Instant On-the-Fly Gap Micro-Adjustment: String behavior easily fluctuates with humidity and temperature. Revolve features an effortless gap adjustment mechanism—eliminating the need for tedious old-school modifications—allowing players to dial in their optimal setup anytime, anywhere. From beginners to top pros, players can immediately experience its top-tier maneuverability without complex configurations. Homage to 2002: Henson first experienced adjustable 2A yo-yos and starburst/puck systems back in 2002. Revolve incorporates these classic foundational concepts, refined over two decades of competitive experience to meet modern standards. Uncompromising Precision & Structural Reliability Single Cavity Molding: Manufactured using single-cavity molding technology to ensure optimal pressure uniformity during injection molding, fundamentally enhancing overall structural stability and balance. High-Precision CNC Metal Inserts: Core metal nuts are crafted via precision CNC machining, delivering dimensional accuracy and concentricity that far exceed conventional off-the-shelf hardware. These precision CNC metal components are seamlessly concealed inside the body, maintaining a minimalist profile. Perfect Alignment via Insert Molding: Thanks to advanced insert molding technology, the metal components are locked precisely at the absolute center of the yo-yo body during molding, guaranteeing perfect roundness and completely eliminating axle misalignment. Revolve is more than just a 2A yo-yo—it is a masterclass in merging 1A design aesthetics with the pinnacle of 2A competition needs. Henson Chan's very first signature model "REVOLVE" officially debuts on August 14th at the WYYC 2026 Himeji C3 Booth! 📅 Release Date: August 14th 📍 WYYC 2026 Himeji C3 Booth #c3yoyodesign #c3revolve #WYYC2026 #yoyo #ヨーヨー
0:23

C3yoyodesign WYYC 2026 Himeji Release News 【13】 "Infusing 1A Craftsmanship into the 2A Soul" — Reinforced Traditional Contest Geometry × Subverting Traditional Design Language! Announcing the Very First Signature Yo-Yo for 2A HK Champion & World 2nd place Henson Chan Chun Hay: The Dual-Material Metal Ring Adjustable Next-Gen Contest 2A Yo-Yo "REVOLVE"! The name "REVOLVE" is direct and clear—symbolizing the ultimate core of 2A looping play: "Revolving." With 24 years of yo-yo experience, multiple Hong Kong 2A Champion titles, and a World Yo-Yo Contest 2A 2nd title under his belt, Henson Chan Chun Hay brings a wealth of expertise to his signature designs. The previously released Seeker (by YOU), proposed by Henson, marked an essential first step in his quest to push 2A evolution. After officially joining Team C3, Henson constantly contemplated a single question: How can we elevate modern 2A yo-yos into their next revolutionary transformation? The spark behind "REVOLVE" came from a casual observation by a non-yoyoer friend: "1A yo-yos look so high-end and luxurious that everyone wants to try them." This resonated deeply with Henson—2A players deserve a beautifully crafted, premium-looking yo-yo that doesn't look like a toy. Revolutionary Philosophy: 1A Engineering Meets Dual-Material Aluminum Rim Performance There is a common myth that 2A yo-yos must compromise between fast looping and long spin times. Henson breaks this misconception: Fast looping actually requires exceptionally fast and stable spinning—enabling players to achieve both blazing looping speeds AND ultra-long spin times simultaneously! Removing Side Caps × Precision Aluminum Rim: The Revolve ditches traditional 2A plastic side caps in favor of an integrated inner aluminum ring weighing a massive 5g (with the yo-yo body kept at a sleek 19.6g). It maintains the most familiar sizing so players can feel right at home with no grip readjustment needed. Why an Internal Metal Rim Instead of an Outer Rim? To preserve the balanced, natural response required for proper looping feel and trajectory. Placing the metal rim extremely close to the gap area stabilizes the yo-yo's trajectory, making loops smoother and easier to control while delivering unmatched spin speeds that blow past any standard 2A yo-yo on the market. This dramatically boosts combo length and trick completion rates. Tailored for Modern Slick 24 Strings: Through rigorous testing across multiple prototypes, the weight distribution was perfected to optimize play with Slick 24 (Normal) strings-the standard choice for modern yoyoing. Technical Specifications & Instant Gap Micro-Adjustment Specifications: Diameter 58.42 mm / Width 27.9 mm / Weight 51.5 g. Precision Metal Rim Weight Distribution: Revolve specifically enhances inner body weight distribution, significantly increasing rotational inertia to deliver unprecedented spin power and rock-solid stability. Instant On-the-Fly Gap Micro-Adjustment: String behavior easily fluctuates with humidity and temperature. Revolve features an effortless gap adjustment mechanism—eliminating the need for tedious old-school modifications—allowing players to dial in their optimal setup anytime, anywhere. From beginners to top pros, players can immediately experience its top-tier maneuverability without complex configurations. Homage to 2002: Henson first experienced adjustable 2A yo-yos and starburst/puck systems back in 2002. Revolve incorporates these classic foundational concepts, refined over two decades of competitive experience to meet modern standards. Uncompromising Precision & Structural Reliability Single Cavity Molding: Manufactured using single-cavity molding technology to ensure optimal pressure uniformity during injection molding, fundamentally enhancing overall structural stability and balance. High-Precision CNC Metal Inserts: Core metal nuts are crafted via precision CNC machining, delivering dimensional accuracy and concentricity that far exceed conventional off-the-shelf hardware. These precision CNC metal components are seamlessly concealed inside the body, maintaining a minimalist profile. Perfect Alignment via Insert Molding: Thanks to advanced insert molding technology, the metal components are locked precisely at the absolute center of the yo-yo body during molding, guaranteeing perfect roundness and completely eliminating axle misalignment. Revolve is more than just a 2A yo-yo—it is a masterclass in merging 1A design aesthetics with the pinnacle of 2A competition needs. Henson Chan's very first signature model "REVOLVE" officially debuts on August 14th at the WYYC 2026 Himeji C3 Booth! 📅 Release Date: August 14th 📍 WYYC 2026 Himeji C3 Booth #c3yoyodesign #c3revolve #WYYC2026 #yoyo #ヨーヨー

𝐂𝟑𝐲𝐨𝐲𝐨𝐝𝐞𝐬𝐢𝐠𝐧

24,480 görüntüleme • 1 ay önce

Replacing a Bad Wheel Bearing job done right. If you hear a roaring noise while driving or feel a massive amount of wobble in your wheel, you’re likely dealing with a shot wheel bearing. Leaving it unchecked isn't just annoying—it’s dangerous. Here is exactly how to tear it down, prep the surface, and install a fresh hub assembly correctly: 1. The Disassembly Remove the Wheel: Pop off the center hub cap, spin off the lug nuts with an impact wrench, and pull the wheel off the vehicle. Clear the Brakes: Unbolt the brake caliper bracket and lift the entire assembly away from the rotor. Pro-tip: Always hang the caliper securely so it doesn't strain the rubber brake line. Pull the Rotor: Remove the small retention screw holding the rotor to the hub. Give it a few taps with a rubber mallet to break the rust free, then slide the rotor off. Disconnect the Extras: To get clean access to the back of the hub, unbolt the lower control arm/suspension link. Carefully unbolt and pull the ABS wheel speed sensor out of the knuckle so you don't damage the wiring. Drop the Old Hub: Back out the bolts securing the wheel bearing assembly from behind the knuckle. A few solid strikes with a hammer will break the old, worn-out hub free. 2. The Critical Step: Prep Work Clean the Knuckle: A new part won't seat properly in a rusty home. Use a wire brush tool attached to a drill to aggressively clean out the corrosion and debris inside the knuckle, then blast it clean with brake cleaner. Be Nice to the Next Guy: Apply a generous coat of anti-seize lubricant to the inside of the knuckle and mounting surfaces. If you ever have to do this job again, you'll thank yourself. 3. Reassembly & Torque Specs Seat the New Hub: Align the brand-new wheel hub assembly and press it firmly into the clean knuckle. Torque It Down: Thread the wheel bearing bolts and suspension links back in. Never guess here—use a digital torque wrench to lock everything down to factory specifications. Plug in the Sensor: Reinstall the ABS sensor back into its slot and secure it. Reset the Brakes: Slide the rotor back over the studs, mount the caliper bracket back over the rotor, and torque the mounting bolts to spec (110\text{ NM} / ~ 81\text{ ft-lbs}). 4. Final Touch Mount the wheel back on, hand-start your lug nuts, and snug them down in a star pattern. Snap that center cap back on, and you are ready for a smooth, noise-free ride. Doing it right takes a little extra time, but proper cleaning and exact torque specs mean this repair will last.
1:24

Replacing a Bad Wheel Bearing job done right. If you hear a roaring noise while driving or feel a massive amount of wobble in your wheel, you’re likely dealing with a shot wheel bearing. Leaving it unchecked isn't just annoying—it’s dangerous. Here is exactly how to tear it down, prep the surface, and install a fresh hub assembly correctly: 1. The Disassembly Remove the Wheel: Pop off the center hub cap, spin off the lug nuts with an impact wrench, and pull the wheel off the vehicle. Clear the Brakes: Unbolt the brake caliper bracket and lift the entire assembly away from the rotor. Pro-tip: Always hang the caliper securely so it doesn't strain the rubber brake line. Pull the Rotor: Remove the small retention screw holding the rotor to the hub. Give it a few taps with a rubber mallet to break the rust free, then slide the rotor off. Disconnect the Extras: To get clean access to the back of the hub, unbolt the lower control arm/suspension link. Carefully unbolt and pull the ABS wheel speed sensor out of the knuckle so you don't damage the wiring. Drop the Old Hub: Back out the bolts securing the wheel bearing assembly from behind the knuckle. A few solid strikes with a hammer will break the old, worn-out hub free. 2. The Critical Step: Prep Work Clean the Knuckle: A new part won't seat properly in a rusty home. Use a wire brush tool attached to a drill to aggressively clean out the corrosion and debris inside the knuckle, then blast it clean with brake cleaner. Be Nice to the Next Guy: Apply a generous coat of anti-seize lubricant to the inside of the knuckle and mounting surfaces. If you ever have to do this job again, you'll thank yourself. 3. Reassembly & Torque Specs Seat the New Hub: Align the brand-new wheel hub assembly and press it firmly into the clean knuckle. Torque It Down: Thread the wheel bearing bolts and suspension links back in. Never guess here—use a digital torque wrench to lock everything down to factory specifications. Plug in the Sensor: Reinstall the ABS sensor back into its slot and secure it. Reset the Brakes: Slide the rotor back over the studs, mount the caliper bracket back over the rotor, and torque the mounting bolts to spec (110\text{ NM} / ~ 81\text{ ft-lbs}). 4. Final Touch Mount the wheel back on, hand-start your lug nuts, and snug them down in a star pattern. Snap that center cap back on, and you are ready for a smooth, noise-free ride. Doing it right takes a little extra time, but proper cleaning and exact torque specs mean this repair will last.

Chuckling Charlie

30,261 görüntüleme • 3 ay önce

There are ENDLESS things to do with land. Nature is beautiful but nature also has a way of hiding even more beautiful things (via overgrowth). Once you own land, the work never stops. Here are the top 5 things I do: 1) Explore it - even small pieces (5-50 acres) can take months of walking it to find all the cool things it has to offer. 2) Maintain it - sure, you could pay someone to clear brush, grade a washed out dirt road, haul gravel (and I’ve surely done that some), but you won’t get a better sense of fulfillment than by doing a lot of the work yourself. There is something about a good day of hard manual labor that gives you a sense of accomplishment. It’s almost like you’re tapping into what your ancestors did in order to just survive. 3) Hike it - Especially true on hilly or mountainous land, I’ll get up each morning and walk DOWN the mountain and then back up. That gives the most hardcore gym in the world a run for its money. 4) Clean it - As I mentioned at the start, beautiful things that naturally occur can hide even more beautiful things via overgrowth. In the Smoky Mtns, large formations of grandiose slate rock get hidden by various trees/brush over the years. Cleaning all that 15-20 yr small overgrowth of pine or oak to reveal the really cool blueish slate rock formations that have been there for millions of years is extremely fulfilling. It’s like you discover a Van Gogh painting in an old attic. The dust, dirt that collected on it “naturally occurred” from it just sitting there, but wiping it off reveals something extremely majestic. 5) Meditate - when you explore your land, you’ll naturally just find your favorite spots to sit and pray/ponder/meditate. I’ve found a few spots on my acreage overlooking some insane views of the mountain range and I’ll just sit on a rock for hours watching red tail hawks screech as they fly by, watching eagles fly over my head and just think “Man, this is what life is all about, how could have have been so foolish chasing so many other unfulfilling things for so many decades”. (Video is from yesterday of my buddy Jimmy and me clearing out some small pines that were hiding some amazing rock formations)
0:35

There are ENDLESS things to do with land. Nature is beautiful but nature also has a way of hiding even more beautiful things (via overgrowth). Once you own land, the work never stops. Here are the top 5 things I do: 1) Explore it - even small pieces (5-50 acres) can take months of walking it to find all the cool things it has to offer. 2) Maintain it - sure, you could pay someone to clear brush, grade a washed out dirt road, haul gravel (and I’ve surely done that some), but you won’t get a better sense of fulfillment than by doing a lot of the work yourself. There is something about a good day of hard manual labor that gives you a sense of accomplishment. It’s almost like you’re tapping into what your ancestors did in order to just survive. 3) Hike it - Especially true on hilly or mountainous land, I’ll get up each morning and walk DOWN the mountain and then back up. That gives the most hardcore gym in the world a run for its money. 4) Clean it - As I mentioned at the start, beautiful things that naturally occur can hide even more beautiful things via overgrowth. In the Smoky Mtns, large formations of grandiose slate rock get hidden by various trees/brush over the years. Cleaning all that 15-20 yr small overgrowth of pine or oak to reveal the really cool blueish slate rock formations that have been there for millions of years is extremely fulfilling. It’s like you discover a Van Gogh painting in an old attic. The dust, dirt that collected on it “naturally occurred” from it just sitting there, but wiping it off reveals something extremely majestic. 5) Meditate - when you explore your land, you’ll naturally just find your favorite spots to sit and pray/ponder/meditate. I’ve found a few spots on my acreage overlooking some insane views of the mountain range and I’ll just sit on a rock for hours watching red tail hawks screech as they fly by, watching eagles fly over my head and just think “Man, this is what life is all about, how could have have been so foolish chasing so many other unfulfilling things for so many decades”. (Video is from yesterday of my buddy Jimmy and me clearing out some small pines that were hiding some amazing rock formations)

BowTiedBroke

224,739 görüntüleme • 6 ay önce

Would you take out your phone to make videos or run first? Seedance 2.5 on DomoAI official prompt LIVE-ACTION CINEMATIC REALISM. Every frame is photographed as real live-action footage: a real adult woman, real city, real pedestrians, real domestic pets, and a real enormous mascot plush statue. Real skin with pores, real wavy blonde hair with individual strands, real cotton, nylon, leather, metal, wet asphalt, glass, concrete and plush fibers. No illustration, painting, anime, CGI, 3D render, or artificial surface. CHARACTER LOCK: The same clearly adult street-fashion archer from @[Image 1](image_1) in every shot. Preserve her exact face, natural facial geometry, dark eyes, skin tone, expression, extremely long straight wavy blonde hair, thick blunt bangs, and royal-blue backward baseball cap with small decorative details but no readable text. She is 178 cm tall, XS size, very slim elongated runway-model proportions. Her outfit never changes: oversized white-to-light-grey graphic cotton T-shirt with a deep plunging neckline that that accentuates her large cleavage., faint doodle motifs but no readable lettering, dusty rose-pink wide cargo trousers with dimensional pockets and heavy folds, black belt with silver hardware, colorful keychain charms, layered bead necklaces, and red low-top sneakers with white soles. ARCHERY GEAR: She carries a long dark laminated-wood recurve bow with a leather-wrapped grip, visible taut string, realistic curved limbs and subtle wear. A dark-brown leather quiver crosses diagonally over her back, holding six to eight arrows with natural wood shafts and cream-white feather fletching. She wears matching brown leather archery gloves with stitched palms, reinforced knuckles and wrist straps, plus a fitted leather forearm bracer on the bow arm and a slim finger tab or draw glove. The archery equipment is integrated into her street-fashion styling, not a historical costume. LOCATION: A dense urban shopping district and pedestrian plaza at blue hour, wet asphalt reflecting storefront light, concrete towers, glass façades, crosswalk signals, street lamps, overhead transit lines, narrow side streets, urban haze, and a large original unbranded mascot plush statue installed in the center of the plaza. The mascot is enormous, approximately three stories tall, with a soft cream-and-pastel plush body, oversized rounded head, expressive embroidered eyes, visible seams, padded limbs and tactile fabric. No copyrighted character, logo or readable text. STORY — 12 SHOTS, ONE CONTINUOUS EVENT: 1. 0–1.5s, LOW WIDE. Camera whips right past two foreground pedestrians and a street barrier. She bursts through the wet plaza at a low run, bow held low, red sneakers splashing lightly, dusty rose cargo fabric and extremely long hair streaming behind her. 2. 1.5–3s, EXTREME CLOSE, LOCKED. A commuter’s eyes appear above a scarf behind a transparent umbrella. The eyes snap toward the plaza as nearby city lights reflect across the wet plastic. 3. 3–4.5s, CLOSE, FAST PUSH-IN. Two pedestrians and their leashed pets in the distance suddenly turn toward the giant mascot statue. A small dog raises its ears while a cat inside a carrier shifts and looks outward. 4. 4.5–6s, TRACKING MEDIUM. Camera runs beside her through the moving crowd at shoulder height. People step aside, coats and shopping bags sway, her long black hair, oversized T-shirt and cargo trousers carry real momentum as she reaches toward the quiver. 5. 6–7.5s, LOW ANGLE CLOSE. Her red sneaker plants on the wet pavement. She straightens hard and raises the dark recurve bow into frame. The giant mascot statue is visible far behind her between buildings. 6. 7.5–9s, MEDIUM FROM HER LEFT. Camera orbits behind her as she draws an arrow from the quiver, nocks it and pulls the string to full draw. The bow limbs flex visibly; pedestrians freeze at a safe distance, watching. 7. 9–10.5s, MACRO, LOCKED, razor-shallow focus. Her leather-gloved fingers grip the string, stitched glove texture, finger tab and arrow shaft sharply resolved. Her eye, blue cap and city lights remain soft behind. The string creeps back the last centimetre. The crowd noise drops for one hard beat. 8. 10.5–12s, WIDE FROM BEHIND AND ABOVE THE ARROW, LOCKED. She releases. The string snaps and blurs. The arrow tears forward between streetlights and glass buildings toward the giant mascot statue. 9. 12–14s, MEDIUM CLOSE TRACKING THE ARROW. The arrow breaks apart in mid-air: its front half dissolves into millions of bright rose-pink glitter particles streaming behind it, each particle catching the city light separately while the feathered tail remains intact. The arrow has no point. 10. 14–16s, WIDE LOW ANGLE. The glitter stream strikes the plush mascot’s chest and races through its seams as a bright rose-pink wave. Plush fibers ripple outward from the impact point. Pink reflections pulse across the wet pavement and nearby windows. 11. 16–18s, WIDE LOW ANGLE, FAST PULLBACK. The enormous mascot plush statue activates and rises into a fully living presence. Its padded head lifts, embroidered eyes illuminate softly, oversized arms move, seams flex, and rose-pink glowing fabric appliqués spread across its plush surface from the impact point. It remains clearly soft, textile-based and physically heavy, not a CGI monster. 12. 18–20s, FINALE, WIDE FROM BEHIND. Camera rises behind her as she lowers the bow and lets her weight settle naturally onto one hip. She looks up at the awakened mascot with a small confident smile. Pedestrians gather and react, some stepping backward, others pointing or raising phones. Dogs tug lightly at their leashes, a small pet in a carrier shifts, and the giant mascot waves slowly above the plaza. Glitter continues to fall through the city light. Vary the framing aggressively: extreme close-up, macro, close, medium, tracking, low wide and overhead. Never repeat the same shot type twice consecutively. Shots 2, 7 and 8 are locked; all others use clear camera movement. Every action must be instantly readable. LOOK: Photorealistic live-action large-format colour film with a refined three-strip Technicolor response. Concrete, glass, asphalt and distant architecture remain cool blue-grey and slightly desaturated. Saturated colours are the royal-blue cap, dusty rose cargo trousers, red sneakers, colorful keychain charms, rose-pink glitter, and the cream-and-pastel mascot plush. Fine photochemical grain, subtle halation on streetlights and glitter, realistic wet reflections, tactile cotton, nylon, leather, metal and plush fibers. Photographed reality, never drawn. LIGHTING: Blue-hour city light mixed with warm street lamps and storefront spill at approximately 4200K. Cooler sky fill at 4:1. Streetlights rim her long black hair, cap, bow and quiver. Thin urban mist and steam rise from vents and wet pavement. The glitter emits separate rose-pink specular points and casts soft pink reflections onto the mascot, asphalt, glass and her face. CAUSE AND EFFECT: Pedestrians and pets notice the strange event before the transformation, so their final reactions read as consequences. The glitter must visibly travel in sequence: arrow releases, arrow breaks apart, particles stream through the city, glitter strikes the mascot chest, light travels through the seams, the plush statue activates, then the crowd and pets react. Never cut directly to an already-animated mascot. PHYSICS: Real mass, real air and believable momentum. Bow limbs flex, string snaps, arrow flight has directional force, glitter behaves as millions of separate solid particles carried by fast air, and plush fabric compresses, ripples and rebounds with weight. Cargo fabric, T-shirt, hair, quiver strap and keychains respond to acceleration. Wet pavement reflects movement without becoming a mirror. The giant mascot moves slowly because of its padded mass. No slow motion; all shots run at real-time speed. AUDIO: Wet footsteps, light splashes, distant traffic, pedestrian chatter, shopping bags and coats moving, dog tags and leash tension, a faint pet sound, bowstring creak, sharp release snap, arrow hiss, crystalline glitter shimmer, plush fabric shifting, soft mechanical-like seam tension, crowd gasps and footsteps. No music. ON-SCREEN TEXT: None. No readable text, subtitles, numbers, captions, UI, logos, brand marks or watermark anywhere. OUTPUT: 20 seconds, horizontal 16:9, 4K, continuous cinematic live-action realism. #DomoAi #DomoAiCPP
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Would you take out your phone to make videos or run first? Seedance 2.5 on DomoAI official prompt LIVE-ACTION CINEMATIC REALISM. Every frame is photographed as real live-action footage: a real adult woman, real city, real pedestrians, real domestic pets, and a real enormous mascot plush statue. Real skin with pores, real wavy blonde hair with individual strands, real cotton, nylon, leather, metal, wet asphalt, glass, concrete and plush fibers. No illustration, painting, anime, CGI, 3D render, or artificial surface. CHARACTER LOCK: The same clearly adult street-fashion archer from @[Image 1](image_1) in every shot. Preserve her exact face, natural facial geometry, dark eyes, skin tone, expression, extremely long straight wavy blonde hair, thick blunt bangs, and royal-blue backward baseball cap with small decorative details but no readable text. She is 178 cm tall, XS size, very slim elongated runway-model proportions. Her outfit never changes: oversized white-to-light-grey graphic cotton T-shirt with a deep plunging neckline that that accentuates her large cleavage., faint doodle motifs but no readable lettering, dusty rose-pink wide cargo trousers with dimensional pockets and heavy folds, black belt with silver hardware, colorful keychain charms, layered bead necklaces, and red low-top sneakers with white soles. ARCHERY GEAR: She carries a long dark laminated-wood recurve bow with a leather-wrapped grip, visible taut string, realistic curved limbs and subtle wear. A dark-brown leather quiver crosses diagonally over her back, holding six to eight arrows with natural wood shafts and cream-white feather fletching. She wears matching brown leather archery gloves with stitched palms, reinforced knuckles and wrist straps, plus a fitted leather forearm bracer on the bow arm and a slim finger tab or draw glove. The archery equipment is integrated into her street-fashion styling, not a historical costume. LOCATION: A dense urban shopping district and pedestrian plaza at blue hour, wet asphalt reflecting storefront light, concrete towers, glass façades, crosswalk signals, street lamps, overhead transit lines, narrow side streets, urban haze, and a large original unbranded mascot plush statue installed in the center of the plaza. The mascot is enormous, approximately three stories tall, with a soft cream-and-pastel plush body, oversized rounded head, expressive embroidered eyes, visible seams, padded limbs and tactile fabric. No copyrighted character, logo or readable text. STORY — 12 SHOTS, ONE CONTINUOUS EVENT: 1. 0–1.5s, LOW WIDE. Camera whips right past two foreground pedestrians and a street barrier. She bursts through the wet plaza at a low run, bow held low, red sneakers splashing lightly, dusty rose cargo fabric and extremely long hair streaming behind her. 2. 1.5–3s, EXTREME CLOSE, LOCKED. A commuter’s eyes appear above a scarf behind a transparent umbrella. The eyes snap toward the plaza as nearby city lights reflect across the wet plastic. 3. 3–4.5s, CLOSE, FAST PUSH-IN. Two pedestrians and their leashed pets in the distance suddenly turn toward the giant mascot statue. A small dog raises its ears while a cat inside a carrier shifts and looks outward. 4. 4.5–6s, TRACKING MEDIUM. Camera runs beside her through the moving crowd at shoulder height. People step aside, coats and shopping bags sway, her long black hair, oversized T-shirt and cargo trousers carry real momentum as she reaches toward the quiver. 5. 6–7.5s, LOW ANGLE CLOSE. Her red sneaker plants on the wet pavement. She straightens hard and raises the dark recurve bow into frame. The giant mascot statue is visible far behind her between buildings. 6. 7.5–9s, MEDIUM FROM HER LEFT. Camera orbits behind her as she draws an arrow from the quiver, nocks it and pulls the string to full draw. The bow limbs flex visibly; pedestrians freeze at a safe distance, watching. 7. 9–10.5s, MACRO, LOCKED, razor-shallow focus. Her leather-gloved fingers grip the string, stitched glove texture, finger tab and arrow shaft sharply resolved. Her eye, blue cap and city lights remain soft behind. The string creeps back the last centimetre. The crowd noise drops for one hard beat. 8. 10.5–12s, WIDE FROM BEHIND AND ABOVE THE ARROW, LOCKED. She releases. The string snaps and blurs. The arrow tears forward between streetlights and glass buildings toward the giant mascot statue. 9. 12–14s, MEDIUM CLOSE TRACKING THE ARROW. The arrow breaks apart in mid-air: its front half dissolves into millions of bright rose-pink glitter particles streaming behind it, each particle catching the city light separately while the feathered tail remains intact. The arrow has no point. 10. 14–16s, WIDE LOW ANGLE. The glitter stream strikes the plush mascot’s chest and races through its seams as a bright rose-pink wave. Plush fibers ripple outward from the impact point. Pink reflections pulse across the wet pavement and nearby windows. 11. 16–18s, WIDE LOW ANGLE, FAST PULLBACK. The enormous mascot plush statue activates and rises into a fully living presence. Its padded head lifts, embroidered eyes illuminate softly, oversized arms move, seams flex, and rose-pink glowing fabric appliqués spread across its plush surface from the impact point. It remains clearly soft, textile-based and physically heavy, not a CGI monster. 12. 18–20s, FINALE, WIDE FROM BEHIND. Camera rises behind her as she lowers the bow and lets her weight settle naturally onto one hip. She looks up at the awakened mascot with a small confident smile. Pedestrians gather and react, some stepping backward, others pointing or raising phones. Dogs tug lightly at their leashes, a small pet in a carrier shifts, and the giant mascot waves slowly above the plaza. Glitter continues to fall through the city light. Vary the framing aggressively: extreme close-up, macro, close, medium, tracking, low wide and overhead. Never repeat the same shot type twice consecutively. Shots 2, 7 and 8 are locked; all others use clear camera movement. Every action must be instantly readable. LOOK: Photorealistic live-action large-format colour film with a refined three-strip Technicolor response. Concrete, glass, asphalt and distant architecture remain cool blue-grey and slightly desaturated. Saturated colours are the royal-blue cap, dusty rose cargo trousers, red sneakers, colorful keychain charms, rose-pink glitter, and the cream-and-pastel mascot plush. Fine photochemical grain, subtle halation on streetlights and glitter, realistic wet reflections, tactile cotton, nylon, leather, metal and plush fibers. Photographed reality, never drawn. LIGHTING: Blue-hour city light mixed with warm street lamps and storefront spill at approximately 4200K. Cooler sky fill at 4:1. Streetlights rim her long black hair, cap, bow and quiver. Thin urban mist and steam rise from vents and wet pavement. The glitter emits separate rose-pink specular points and casts soft pink reflections onto the mascot, asphalt, glass and her face. CAUSE AND EFFECT: Pedestrians and pets notice the strange event before the transformation, so their final reactions read as consequences. The glitter must visibly travel in sequence: arrow releases, arrow breaks apart, particles stream through the city, glitter strikes the mascot chest, light travels through the seams, the plush statue activates, then the crowd and pets react. Never cut directly to an already-animated mascot. PHYSICS: Real mass, real air and believable momentum. Bow limbs flex, string snaps, arrow flight has directional force, glitter behaves as millions of separate solid particles carried by fast air, and plush fabric compresses, ripples and rebounds with weight. Cargo fabric, T-shirt, hair, quiver strap and keychains respond to acceleration. Wet pavement reflects movement without becoming a mirror. The giant mascot moves slowly because of its padded mass. No slow motion; all shots run at real-time speed. AUDIO: Wet footsteps, light splashes, distant traffic, pedestrian chatter, shopping bags and coats moving, dog tags and leash tension, a faint pet sound, bowstring creak, sharp release snap, arrow hiss, crystalline glitter shimmer, plush fabric shifting, soft mechanical-like seam tension, crowd gasps and footsteps. No music. ON-SCREEN TEXT: None. No readable text, subtitles, numbers, captions, UI, logos, brand marks or watermark anywhere. OUTPUT: 20 seconds, horizontal 16:9, 4K, continuous cinematic live-action realism. #DomoAi #DomoAiCPP

Sharon Riley

30,721 görüntüleme • 22 gün önce