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TC's Alison Riske-Amritraj breaking down Iga's slight service adjustment. Biggest change is Iga's starting position which gives her an earlier elbow bend in that serving arm.

104,560 views • 4 months ago •via X (Twitter)

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Wondering if you are “quad dominant” in your throw and if you should change it? Maybe you shouldn’t 🤷‍♂️ A coach’s post coming from Austin Roark 🚀⠀⁠ -⠀⁠ One question I get from a lot of athletes is whether they should change their lower half because their knee is over their toe during their loading phase down the mound. ⠀⁠ -⠀⁠ The biggest thing that I look for when trying to figure out if it is an issue or not is to see how they are able to get out of that position. Some guys are able to leverage and rotate from that position extremely well, which then I would say that it’s not an issue.⠀⁠ -⠀⁠ On the other hand, there are some guys who will get out of this position by driving extension out of their back leg, killing their ability to rotate their pelvis and get it in an open position into landing.⠀⁠ -⠀⁠ This is when I would suggest trying to make a change. I think a lot of people jump into certain ideologies that you shouldn’t do certain things because it’s “inefficient” or it looks “wrong”. ⠀⁠ -⠀⁠ Take a look at these pitchers shown in the video. All 3 of these high level arms have some degree of knee flexion over their toe. Now, granted, they all have insane levers to help them, but the way they are moving is what makes them efficient in how they throw. ⠀⁠ -⠀⁠ I think if you told Dustin May that he had to hold a vertical shin down the mound, it would be a disaster and mess a lot of things up upstream that would impact him in a negative way.⠀⁠ -⠀⁠ The big takeaway here is that there are no absolutes. One thing that may look inefficient to you could be the thing that makes someone else very efficient.⠀⁠ -⠀⁠ When trying to figure out if you should change something about someone's delivery, make sure to look at the entire unit as a whole and don’t jump into any quick changes.

Tread Athletics

25,070 views • 8 months ago

IS THIS A CALIBRATION DEMO OR A MODEL PLAYING ROBOT? Guy in a black hoodie performs a detailed diagnostic on a girl in an underground parking lot. Dark bob, "Dangerously Beautiful" chest tattoo, brown strap top, leopard glitter shorts. He turns her head by the chin, slides fingers across her face, adjusts her straps, snaps fingers right before her eyes, slaps her cheek lightly, and adjusts her chain. She holds her gaze fixed. Synthetic posture. Zero reaction. Real or fake? Watch first, decide, then read. - Case for AI / silicone humanoid The finger-snap test mirrors optical tracking diagnostics used on vision sensors. The light slap on her cheek looks like an impact-absorption and skin-rebound test. Her eyes don't track his hand movements at all - they remain locked on a single coordinate in space like an uncalibrated optical unit. - Case for a real person Watch the center of gravity when he adjusts her chain necklace and shoulder straps. There is a micro-adjustment in her collarbone and neck muscles to stay balanced. The metallic fabric of her leopard shorts reflects ambient parking lot light with tiny shifts that correspond to subtle muscle tension in her legs. - The answer is in the last two seconds Unlike clips where the subject breaks character with a laugh, she maintains full doll-like immobility through the entire sequence. However, the organic movement of her hair around her ears when his fingers brush past gives away the natural weight and friction of human hair versus synthetic fibers. She's a real model executing a flawless statue hold. - Which is actually the interesting part The test sequence - snapping fingers, turning the head, checking facial displacement - mimics the exact staging robotics developers use at public field tests. By applying that protocol to a human in a casual setting, the video tricks viewers into applying diagnostic scrutiny to a real person. - What this signals for the content lane The "calibration check" format is replacing standard fit-checks and outfit videos. Viewers will rewatch the clip three or four times looking for a micro-blink or a throat pulse. It converts casual scrolling into an active inspection, giving the video maximum completion metrics in the algorithm.

capONE 💎

37,470 views • 15 days ago

**Traditional Engine Order Telegraphs:** The bridge unit and the engine-room unit are connected by two chains (or wire cables) that run through conduits over sprockets, forming a continuous loop. When the bridge officer moves the handle, it turns a sprocket that pulls the chain, which in turn turns the corresponding sprocket and pointer in the engine room. This classic system does not require electricity; it relies on a direct physical linkage, ensuring that both dials always mirror each other. Here’s a typical sequence of operations: The bridge officer grabs the handle and swings it to the command position, for example, "Half Ahead." This movement not only moves the engine-room pointer but also rings a bell or gong to alert the engineers. The engineers then adjust their own handle to match the position indicated by the bridge officer; this movement serves as an acknowledgment and rings the bell back on the bridge, confirming that the order has been received and understood. Only after this acknowledgment do the engineers work the throttle and reversing gear to carry out the order. It is common practice to first execute a full sweep of the handle, moving it all the way to one extreme and back before settling on the actual command position. This exaggerated motion serves two purposes: it rings the gong loudly and unmistakably, ensuring everyone is aware that a new order is coming, and it checks that the mechanism and chains are not stuck or slack. On some ships, this full sweep also signifies an important or urgent change (such as switching from ahead to astern), emphasizing to the crew that they need to pay attention because the situation is critical. After completing this sweep, the handle is adjusted to the desired position. This telegraph is from the Steamship Shieldhall (video credit as well). Go check her out on

Bart 🌊⚓️

107,644 views • 1 month ago

Distinctive Yield Mechanics 1/2 I hold 1,000,000 $XPR at $7 each. That gives me $7,000,000 in collateral value. If I borrow against 25% of that position, my loan amount is: $7,000,000 × 25% = $1,750,000 My current LTV is 25%. At $1,750,000 borrowed against $7,000,000 in collateral, I am sitting at 25% LTV, which leaves a large buffer. Now the interest. A 12% annual borrow rate on $1,750,000 equals: $1,750,000 × 0.12 = $210,000 per year That breaks down to: $210,000 ÷ 12 = $17,500 per month So the debt cost is: $17,500 a month $210,000 a year Now look at the remaining capital. The other 75% of the position represents $5,250,000 in value. If that $5,250,000 is put to work at a conservative 4% annual return, the yield becomes: $5,250,000 × 0.04 = $210,000 per year Monthly, that becomes: $210,000 ÷ 12 = $17,500 per month So the mechanics line up cleanly: Borrow 25% at 12% APR Earn 4% on the remaining 75% Debt cost = $210,000/year Yield generated = $210,000/year Same result from another angle: 25% × 12% = 3% 75% × 4% = 3% So the 4% earned on the 75% can fully service the 12% interest owed on the 25% borrowed. That creates a break-even carry structure before fees, token price changes, liquidation mechanics, reward changes, or compounding differences enter the picture. The hard mechanics are simple: XPR is posted as collateral A smaller amount is borrowed against it Interest accrues on the borrowed amount Yield accrues on the larger remaining portion As long as the yield earned covers the interest owed, the debt can be serviced from the productive side of the position The clean takeaway: A 25% borrow at 12% costs the same annually as a 4% return on the remaining 75%. $1,750,000 borrowed at 12% = $210,000/year owed. $5,250,000 deployed at 4% = $210,000/year earned. That is the hard math.

X-juPiteR-X

60,667 views • 5 months ago

🚨 SCIENTISTS JUST BUILT AN ARTIFICIAL RETINA THAT RESTORES VISION AND ADDS INFRARED SIGHT. Researchers at Yonsei University in South Korea have developed a flexible, three-layer implant that bypasses dead photoreceptors and directly stimulates healthy retinal ganglion cells. The device not only helps restore vision in cases of retinal degeneration (like retinitis pigmentosa) but also gives the eye the ability to detect near-infrared light that humans normally cannot see. The key innovation is a soft 3D array of liquid metal micropillars (gallium-indium alloy) that gently conform to the curved retina without causing damage or inflammation a major improvement over rigid electrodes used in earlier implants. Why this matters: • Retinal diseases destroy light-sensing cells, but the neurons deeper in the eye often remain healthy and capable of sending signals to the brain • The implant uses an ultrathin filter + phototransistor array to convert near-infrared light into electrical signals the ganglion cells can understand • In mouse tests, blind animals regained visual responses, while healthy mice gained infrared sensitivity on top of their normal vision • The liquid metal electrodes are soft and biocompatible, dramatically reducing the risk of scarring or tissue damage The deeper implication: This isn’t just about restoring lost vision it’s about augmenting human sight. If it reaches human trials and proves safe long-term, people with partial vision loss could keep their remaining natural sight while gaining an entirely new sensory channel (infrared). The biggest open question is how the human brain would interpret this new stream of information whether it would feel like a new color, an overlay, or something else entirely. We’re moving from “fixing blindness” to “expanding what it means to see.” How do you think gaining the ability to see infrared light would change daily life or human perception? Follow for more frontier neurotechnology and bionic vision breakthroughs.

TheNewPhysics

34,362 views • 2 months ago

Facial reconstruction of a 7,000-year-old woman from Skateholm Skateholm is a site in southern Sweden, 20 km from Trelleborg, where the remains of Mesolithic hunter-gatherer dwellings have been found. These people fished, hunted wild boar and deer, and were already familiar with pottery. About 7,000 years ago, the settlement area consisted of islands in a shallow lagoon. Several centuries later, the water level rose to such an extent that the inhabitants were forced to relocate elsewhere. During excavations carried out between 1980 and 1985, archaeologists investigated three settlements as well as two adjacent cemeteries - Skateholm I (65 graves) and Skateholm II (22 graves). In addition to human burials, dog graves were also discovered. Dogs, like humans, were buried with grave goods such as flint tools and ornaments. The burials were made at a shallow depth (20-40 cm), usually without coffins, although some interments were in boats or hollowed-out logs. Both human and canine graves were covered with ochre. Some human skeletons bear traces of violence. Many of the graves are highly unusual, and it is believed that the burial process involved complex rituals; some researchers suggest that the deaths were planned, as a form of sacrifice. Other scholars argue that Skateholm served as a burial place for shamans, people who died in accidents, infants who died at birth, and other “dangerous” individuals. In one double burial, an elderly man and a young woman aged about 17–19 were placed closely together. It is believed they were buried at the same time. The woman’s skull shows damage to the left temple, possibly from a blow. Their relationship is uncertain, perhaps father and daughter, or husband and wife. In another case, a woman around 35 years old was buried in a seated position with a newborn child on her lap. Beads made from wild boar and elk teeth were placed with the burial. Elsewhere, a man approximately 60 years old and 4 year old child were found embracing each other, facing one another. The child had ornaments on the chest made of bear teeth and pieces of amber. One individual was buried lying face down, with arms and legs extended. It is thought that he may have been bound or wrapped. Several arrows had been shot into his back and legs, suggesting that those who buried him wanted to ensure he would not rise again. Another burial contained a dismembered man. A healed injury was visible on his femur, possibly caused by a wild boar attack, which would have left him limping. An arrowhead was lodged in the pelvic bone and was likely the cause of death. The right arm and left leg were missing. Since some bones were still in anatomical position, the dismemberment likely occurred while soft tissues were still intact. In a different burial, a woman was interred in a seated position with her legs extended. A dog was buried beside her, with its front paws resting on the woman’s legs.

Ancestral Whispers

105,289 views • 7 months ago

Taste is invisible until you try to write it down. This is probably my biggest lesson with AI building as of late. At Sundial, I get to work with really friggin' amazing analysts who know the art, and I see how much of our collective time now is now spent turning that art into playbooks or skills for an LLM. Encoding things like: "How would a great analyst actually look at this metric move?" or "What is ACTUALLY the interesting signal in this story versus noise?" or "How can we know if a product change actually moved the needle?" It's really humbling work! You write an instruction set. The LLM misses. You add more context. It still misses. You add even more. Now it's confused. You strip it back. Now it's too vague. You try a different framing. Better, but inconsistent. Works on Monday, fails on Tuesday. You go again. I've come to realize the gap between 70% quality and 95% quality is not 3 or 4 big things. It's more like 100s of small things. Which is exactly why you can't write an article about it, or copy it, or shortcut it! This gap *is* taste, quantified. The accumulated weight of a thousand small judgments you don't notice you're making, until you sit down to externalize them and realize you can't. Being good at something is not the same as being able to articulate why you're good at it. I now see two bottlenecks to making something better than today's generic AI: 1. Can you *see* what better looks like in the first place? 2. Even if you can see, can you *articulate* what that is in a way that the LLM can understand and systemize? #2 is now a new craft, the art of distilling the art. The people who can do it well are the ones building standout products.

Julie Zhuo

17,582 views • 3 months ago

MUZZLE FLASH AND RECOIL IS WHERE AI VIDEO USUALLY DIES Outdoor range, bright afternoon. Girl in a blue bikini, safety glasses, ear protection. Instructor next to her adjusts her strap so it won't catch on the rifle stock, tells her to go. She shoulders the rifle, holds it clean, fires a burst. None of it exists. There is no range, no instructor, no rifle, no ammunition. - Weapons have been the quiet wall for AI video Everything else about a firearm clip is manageable - the girl, the setting, the lighting. The moment the trigger pulls is where the models fall apart. Muzzle flash has to appear at the right point on the barrel, the right shape, the right frame duration. Recoil has to propagate through the shoulder, arm, head - not just the gun. Brass has to eject. Smoke has to trail. The next shot has to happen with the shooter's stance reset in a physically plausible way. Get any one of those wrong and it reads as bad CGI in an otherwise clean clip. This one holds the whole sequence. - The strap adjustment is the setup, not the reveal The instructor moving the bikini strap off her shoulder before the shot is a specific narrative beat - it grabs attention, sets the tone as light not tactical, and gives the model a small two-body interaction to warm up on before the harder gunfire sequence. It's the same construction technique a live director would use. The operator wrote the prompt with a director's understanding of pacing. - The genre is 'girls with guns' and it's massive This is one of the largest niche formats on Instagram and TikTok - bikini range days, tactical-aesthetic content, gun influencer culture. Millions of views a week, well-monetized by ammunition brands, firearms manufacturers, tactical gear companies. Until now the format required an actual live shoot: range day fees ($150-300), an experienced shooter, live rounds, a rifle, insurance, a permit for filming, and a location that would allow it. That whole cost stack just went to zero. - What it costs to build One locked character reference, one for the instructor. Prompt structured with the strap adjustment as the pre-shot beat and the burst fire as the main sequence. Roughly $4-6 per 5-second clip because of the physics load. Realistically 30-50 rerolls to land a clean burst where muzzle flash, recoil and stance all read correct. Under $200 in compute. One evening. - What this actually opens Every weapons-adjacent content niche just became fully synthetic-viable. Gun influencers that don't own guns. Ammunition brand ads that don't need range access. Tactical gear campaigns without stunt coordinators. And the harder implication: the same pipeline generates fake footage of specific weapons in specific hands - a category that until now required actual footage of actual events. The trust cost on any weapons-related clip circulating on social media just went up permanently.

capONE 💎

2,184,205 views • 18 days ago

Brands pay this guy $3,200 a video for an influencer who doesn't exist and she clears $47,000 a month while he sleeps. He got tired of watching e-com brands burn $8K on a single shoot day, so he built a node-based system that turns one AI face into 5 monetizable clips a day. No model, no photographer, no studio. Here's the exact breakdown: → He picks the uncopyable feature first: vitiligo. A face the niche has zero supply of and rivals can't clone in a month → Midjourney renders the base, then a trained LoRA in Flux locks that one face so she never drifts post to post → Kling animates her, ElevenLabs gives her a voice, HeyGen syncs the lips, and now she "films herself" every day → TikTok feeds her the trend on its own through the niche tag → Shopify fulfills merch and fitness plans under her face with no agency taking a cut The key move 96% skip: you choose the uncopyable feature before you ever generate the face. Pick a generic pretty blonde and 400 clones bury you in a week. Pick vitiligo, a scar, a gap tooth, something with no supply, and you own the search tag for free. The economics are stupid: each clip costs $0.40 in compute, a brand pays $3,200 to drop a product into it, and it ships in 12 minutes. First night live, her brown mini-dress fitting in a Paris hotel pulled 62K views in 18 hours. By morning the store had 312 orders at $9,360, for a girl who was a prompt 72 hours earlier. The comments fill with "wait, is she real?", and that argument is the fuel the algorithm runs on. No photographer. No model agency. No shoot day. Just one locked face, a trend tag, and the discipline to pick a feature nobody else can render. Half of you are already typing that this is dystopian. The other half just opened Higgsfield. Which one are you?

Kaidu

46,228 views • 3 months ago

‼️BOMBSHELL: Same Law Firm Harpole Uses AGAINST Candace Employs Ben Shapiro’s Brother-in-Law & Is OWNED By Trump DOJ Insider! 👀 The rabbit hole just got a lot deeper. If you were wondering why Brian Harpole’s lawsuit against Candace Owens felt like a coordinated strike, the legal "family tree" behind it tells the whole story. 1. The DOJ Connection: Brian Harpole’s lead attorney, Zachary Stoner, works for the Dhillon Law Group. The firm’s founder, Harmeet Dhillon, is currently serving as President Trump’s Assistant Attorney General for Civil Rights at the DOJ. While she is officially on leave from the firm, her influence is everywhere—especially as she advocates for stricter "Anti-Semitism" speech laws that many fear will be used to silence journalists like Candace. 2. The Daily Wire Connection: As Candace revealed tonight, this is the EXACT same law firm that represented The Daily Wire during their brutal, two-year arbitration battle against her. They know her, they’ve fought her before, and they are back for more. 3. The "In-Law" Bombshell: This is where it gets personal. Dhillon Law Group didn't just stop at representing the Daily Wire—they also hired Jacob Roth (Jacob William Roth 🇺🇸). Who is he? An Orthodox Jewish attorney at Dhillon Law specializing in "civil rights." The Shapiro Tie: He is Ben Shapiro’s brother-in-law, married to Ben’s sister, Abby Shapiro (Abby Roth). It looks like a classic ATTACK BY PROXY. Ben Shapiro is her crazy ex-employer who feels more like a Jilted lover and has been relentlessly harassing and stalking her for years—seems to be weaponizing a law firm tied to the highest levels of the DOJ and his own family members to launch a legal offensive against her. This is nothing more than a desperate attempt to chill free speech and shut down her investigation into the Charlie Kirk case and the "Epstein class." They want to use the legal system to do what they couldn’t do in a debate. But they forgot one thing: Discovery works both ways. Do you think this is just a regular lawsuit or is it a coordinated effort by Shapiro and the DOJ to silence Candace Owens on behald of our greatest ally? The receipts are starting to pile up. 🍿

Project Constitution

431,044 views • 4 months ago

BREAKING: White House Confirms Third-Term Manufacturing Process Suffered “Several Significant Setbacks” PITTSBURGH, PA – Internal documents obtained by this publication reveal that the production of the third-term version of President Donald J. Trump, currently serving in the Oval Office, was considerably more complicated than previously reported, involving at least four failed prototypes, one misread ingredient list, and a hair crisis that sources describe as “genuinely upsetting to witness.” “We had a vision,” said production supervisor Steve Bannon, 71, staring at a clipboard he had been holding upside down for the duration of the interview. “The vision was a harder, more aggressive product. Something that rocked.” The vision did not survive contact with Steve. According to the documents, Bannon had sourced a proprietary powder blend intended to instill, in the finished product, a preference for classic rock, aggressive handshakes, and what internal memos describe as “general menace.” The blend was added to the vat in Stage 3. Bannon had, however, transposed two ingredient codes during transcription, resulting in a product that, when exposed to any musical stimulus whatsoever, immediately begins performing the arm choreography from YMCA. “We noticed it almost immediately,” said Dr. Patricia Hollings, lead researcher. “We played something to test the audio response. We chose badly.” The hair situation was worse. The third-term formulation called for an enhanced hair compound, described in the original specification as “voluminous, commanding, and mammal-derived.” Technicians sourced extracts from no fewer than seven mammal species, the identities of which remain redacted in the released documents. The first trial produced a result described by three separate witnesses as “the top of a tortoise.” Smooth. Slightly domed. Catching the light in a way that made everyone in the room uncomfortable. A second attempt swung aggressively in the opposite direction. The hair came in red. Not auburn. Not strawberry blonde. Red in the manner of something that has made a decision. After six weeks of additional formulation, the team arrived at the current result: a color that does not exist elsewhere in nature, designated internally as Pantone 337472B, a shade falling somewhere between “aggressively highlighted wheat” and “a receipt left on a car dashboard for four months.” Technicians are understood to be satisfied. No one else is. Among the other traits now attributed to specific third-term ingredients: The tariffs. A full canister, added without reading the label. Effects described as “broad.” The executive orders. A fast-acting compound. Dissolves in approximately 72 hours upon contact. The dancing. See above. Steve’s fault. The product is currently governing the United States, signing documents, and, when music plays at public events, raising both arms above its head in a manner that sources inside the Secret Service describe as “non-stoppable.” Dr. Hollings was asked whether a fourth-term formulation was already in development. She closed her notebook. She picked up her coat. She did not answer the question. Gandalv / Gandalv

Gandalv

19,950 views • 4 months ago

Nobody is telling you how FUCKED New York City's infrastructure actually is right now. Everyone is watching the flood footage. The cars underwater. The subway stations turned into swimming pools. Nobody is talking about the fact that six inches of rain just paralyzed a global city. Not a hurricane. Not a once-in-a-century storm. Six inches. In a few hours. And the Long Island Expressway shut down in both directions. The F train suspended. Flash flood warnings across every borough. By rain. → Cost of fixing this: deferred for decades → Cost of not fixing it: the entire city grinds to a halt → That is not a weather problem. That is a maintenance problem. NYC's catch-basin cleaning fleet was 63% out of service during prior storms. By end of 2023 it was 77% out of service. The city had 19 functional trucks for five boroughs. Nineteen trucks. For eight million people. 💀 Here's what nobody is explaining to you: This doesn't just change THIS storm. This changes ALL storms. Forever. → NYC has 7,400 miles of combined storm and sewer pipes that back up the moment rainfall exceeds capacity → Many of those pipes are over 100 years old — built before cars existed, let alone SUVs and modern runoff volumes → Fewer than half of the city's 964 priority catch basins were inspected before recent storms hit → This exact same thing happened in 2023. And 2025. Same expressway. Same subway lines. Same excuses. → The city knows which drains are clogged. They have a data-driven priority list. → They just don't have the trucks to clean them. → So every time it rains hard, the same streets flood, the same trains stop, the same headlines run. → And then nothing changes until the next storm proves it again. The source tweet said it directly: "Six inches of rain shouldn't do this to a major city, but clogged drains and years of deferred maintenance will." That's not a weather forecast. That's a confession. New York spent decades deferring the maintenance bill. May 21, 2026 is what the invoice looks like. Bookmark this. You're watching the biggest infrastructure failure since the last time it rained. I'll keep you updated. Turn on notifications. 🚨

🇺🇸 Ronald Carter

1,386,362 views • 3 months ago