circling back

My mind keeps circling back to this line. Whoever... wrote it did a phenomenal job. 🇺🇸🇬🇧show more

Karma is circling back #Dubai is now facing the... very same suffering that Palestinians and Sudanese people have been enduringshow more

Circling back on this...Circle to Search is rolling out... now to #Pixel7 and Pixel 7 Pro! 🎉 Just draw a circle with your finger around an image, text, or video to quickly find all the info you need.¹ Learn more about our latest #FeatureDrop²:show more

🚨 THE PROSECUTOR BIDEN FIRED JUST DROPPED THE BOMB... Viktor Shokin — the Ukrainian prosecutor general Joe Biden bragged about getting removed — just exposed it in his new book “Biden’s Corruption and War.” $350 BILLION in U.S. taxpayer dollars meant for Ukraine… funneled straight into globalist networks. Not a conspiracy theory. First-hand account from the man they silenced. Arms deals tainted. Chaos used as cover. And the same names keep circling back to the Biden family. The swamp never stopped. They just got better at hiding the receipts.show more

This happened last week in Arlington, Virginia. Noah, 36,... an Army veteran with two tours in Afghanistan and PTSD, was shopping in the packed store when someone dropped a heavy box. The crash triggered a flashback - Noah collapsed on the floor, curled up, shaking, yelling "CONTACT! GET DOWN!" Shoppers gathered, worried, unsure what to do. His five-year-old German Shepherd service dog, Ranger, went to work - circling Noah in a complete protective perimeter, growling low at anyone who tried to approach. When store manager Kevin tried to help, Ranger barked a sharp warning and Noah backed off. For nine full minutes, Ranger never broke position while Noah's flashback continued. Then Noah's breathing slowed, the screaming stopped, and he came back: "I'm... 'm at Target." Seeing Ranger still circling, he said quietly: "Stand down, Ranger. Good boy." Ranger relaxed and licked his face. Kevin approached carefully: "Sir, are you alright? Should I call medical?" Noah explained: "PTSD flashback. I'm okay now." "That dog protected him," Kevin told us. "We literally could not get close." "Ranger creates a barrier when I have flashbacks in public," Ryan said. "Keeps me safe until I come back." Sometimes an American veteran needs a dog who becomes a living wall.show more

Korea silences the skies for Suneung South Korea went... into Suneung mode Thursday, taking extra measures to ensure smooth running of the annual College Scholastic Ability Test. The measures include pushing back the official start of the working day by 1 hour, and even grounding and forbidding landings of airplanes for the duration of the English language listening test from 1:10 p.m. to 2:20 p.m. In order to prevent any possible disturbances that could affect the exam takers, all domestic and international flights were barred from departing or landing at airports. Airplanes in transit were ordered to remain in the air at an altitude of 3 kilometers or higher. A flight tracker clip shows airplanes circling near Incheon Airport, waiting to land, while other flights were grounded on the tarmac awaiting takeoff.show more

1 Neural Network + Obsidian + Karpathy’s 1-file method... = the most unhinged second brain build of 2026. It remembers everything you’ve ever done, and it costs $0 on top of what you already pay. The base is Karpathy’s append and review: 1 giant note, new thoughts stack on top, old ones sink, every few days you reread and pull the survivors back up. No folders, no tags, no plugins the rereading IS the system, because review is what turns storage into thinking. The flaw: past 10,000 lines, no human rereads anything. That’s where the neural network takes over. You keep the note in Obsidian 1 vault, everything dumps to the top: ideas, links, meeting fragments, half-thoughts. You never organize, you only dump. It all lives as plain markdown on your own disk, and that detail is the whole trick. Because now you point Claude Code at the vault folder, and it reads every line you’ve ever written. “What did I think about pricing in March.” “Find the 3 ideas I keep circling.” “What did I drop that deserves a second look.” It answers from YOUR notes, with quotes, in 15 seconds. Then once a week, 1 prompt closes the loop: read the last 7 days, surface the 5 entries worth pulling back up, flag anything that contradicts what I wrote a month ago. The model does the sinking and surfacing Karpathy did by hand, and the note stays alive instead of turning into a graveyard. Week 1 feels like nothing. Week 4 you hit the first “I already solved this in January.” Month 3 you consult your past self more than Google. Most second brains die in 11 days under 40 plugins and 200 folders. This one is 1 file and a loop, and it compounds because dumping takes 0 discipline. Notion stores what you thought. This thing argues back.show more

She wasn't dancing for anyone until the whole street... joined in. One girl. One beat. And suddenly everyone's in. Made with GPT Image 2 and Seedance 2.0 on BudgetPixel AI Prompt: Video Prompt — 15 seconds, 16:9, Solo female street dancer Jessy (described above) dancing continuously and energetically from the very first frame to a viral trending upbeat pop/afrobeat-style track (130 BPM, catchy hook-driven viral sound), full choreography visible throughout — no static feet-only opening, no frozen ending. Sunlit outdoor market street, colorful stalls, soft crowd blur, photorealistic, 8K detail, consistent facial identity, cinematic natural daylight, fluid motion blur, perfect temporal consistency. 0:00–0:03 — Low-angle tracking shot rising into a full-body view; Jessy is already mid-move, doing a bouncy shuffle-step with sharp arm swings and a hip pop on the beat drop, ponytail whipping, face clearly visible and expressive. 0:03–0:06 — Whip-pan into a Dutch-angle mid-shot; Jessy spins into a body-roll combo, arms cutting sharply through the air, handheld camera pulsing with the beat. 0:06–0:09 — Crash-zoom to a high-angle crane shot; Jessy drops into a low groove-step with a floor-touch and pop back up, dust kicking softly at her sneakers, still mid-motion. 0:09–0:12 — Snap-cut to eye-level tracking shot circling her; nearby onlookers — two women and one man, each with distinct clearly-visible faces, different hairstyles, and different outfits from Jessy and each other — start mirroring her moves and join in, forming a loose group dance, all faces on camera (face cards visible, no obstruction). 0:12–0:15 — Wide dynamic shot pulling back as the whole group dances together in sync, Jessy in the center still moving with sharp bounce and a playful spin, camera continuing to move (slow pull-back with slight handheld shake) right up to the final frame — no freeze, motion carries through to the last moment, energetic smile toward camera.show more

Do you know why I love Barcelona? Because only... in Barcelona can you stumble into all of this in one single Saturday. We started at Palau de la Música Catalana for Madama Butterfly. It's the only concert hall in Europe lit completely by daylight, through a stained glass dome built in 1908. After we walked outside, we noticed a big gathering of people, so we headed to see what was going on. A helicopter was circling the Cathedral square, dropping thousands of small poems out of the sky. Half written by Catalan poets, half by Chilean ones. I didn't know what it was at the time, but I researched it after, and it's a one-time art project called "Bombardeig de Poemes," marking 50 years since the end of the Franco dictatorship. Then, a few streets over, we found the Kiss mural. From far away, it's two people kissing. Up close, it's 4,000 individual photo tiles, each one sent in by a local back in 2014. Had no idea what it was, but apparently it's one of the most photographed spots in the city. Finally, ended the night at the Magic Fountain in Montjuïc. Built in 1929, it's free every night it runs. None of this was planned. We didn't look any of it up beforehand, we just walked into it. That's also the annoying part, you can't plan a day like this. This is why I'll never get tired of this city.show more

🔥 THE REALITY ABOUT ZCASH THEY DON’T WANT YOU... TO KNOW BITCOIN WAS SUPPOSED TO BE FREEDOM. NOW IT’S SURVEILLED, CUSTODIAL, AND CONTROLLED. today almost 10% of BTC sits inside ETFs + government-controlled custodians. Fully watched. Zero privacy. Zero sovereignty. Meanwhile the world is moving into MAX CONTROL: CBDCs, tracking laws, surveillance everywhere. Bitcoin can’t hide you anymore. ZCASH CAN. Bitcoin had ONE CHANCE to add privacy years ago… and the core devs REJECTED IT. So the creators left… and built ZCASH, the upgrade Bitcoin was scared to adopt. Then everything changed: ZEC + Zashi + Intents → instant private swaps → mobile → no KYC → no CEX → NO PERMISSION That’s when the market woke up: • ZEC: $78 → $800 • ZEC VOLUME FLIPPED BTC • 1,000,000+ ZEC moved into shielded pools • 5M+ ZEC now private • Early BTC WHALES backing it • WINKLEVOSS returning to the mission Because the truth is simple: ZCASH DOES WHAT BITCOIN CAN’T. Monero? Too slow. Too dirty. Too stuck. ZEC? Clean. Encrypted. Scalable. Professional. A REAL privacy asset. And now the big boys are circling back. OG Bitcoiners. Tech elites. New capital. Everyone who still believes in REAL cypherpunk freedom. When you put it all together: ✔ BTC captured ✔ surveillance rising ✔ privacy denied ✔ Zcash born ✔ UX solved ✔ volume exploding ✔ shielded supply vertical ✔ OG support returning ✔ new money entering You get one conclusion: ZCASH IS BECOMING WHAT BITCOIN WAS MEANT TO BE. THE MARKET JUST HASN’T ACCEPTED IT YET. When this narrative catches fire… When people realize they NEED privacy again… $ZEC will already pump to $50,000show more

POV: The world doesn't stop for you... until you... start walking like the main character. ☕✨ Made with Seedance 2.0 PROMPT: Style: Ultra-realistic cinematic influencer reel, luxury lifestyle aesthetic, 4K HDR, golden hour lighting, shallow depth of field, smooth gimbal movements, subtle lens flares, vibrant city atmosphere, fashion-commercial quality, confident feminine energy 0:00–0:03 Camera: Low-angle tracking shot following stylish heels walking down a charming European-style street. Coffee cup in one hand, phone in the other. Pedestrians naturally move aside as she walks. Action: She casually glances at the camera with a confident smirk. Audio: Trendy upbeat pop beat begins with city ambience. --- 0:03–0:06 Camera:Orbit shot circling her in slow motion. Action: A gust of wind lifts her hair perfectly. She removes her sunglasses, makes eye contact with the camera, then effortlessly slides them back on. Time seems to slow while everyone around her blurs into motion. Effect: Dramatic speed ramp and cinematic lens flare. --- 0:06–0:09 Camera: Wide cinematic shot as she confidently steps onto a busy crosswalk. Action: The traffic lights turn green, but for a brief moment the entire city freezes. Cars stop, birds hang in midair, pedestrians become motionless. Only she keeps walking with complete confidence. Effect: Epic cinematic sound hit. --- 0:09–0:12 Camera: FPV drone smoothly rises from street level to reveal the entire skyline. Action: As she puts on her sunglasses, the frozen city instantly comes back to life. Cars move, people continue walking, and sunlight reflects dramatically off the skyscrapers. Effect: Whip transition synchronized to the music beat. --- 0:12–0:15 Camera: Slow-motion close-up as she takes a sip of coffee while walking toward the camera. Action: She gives a playful wink, then walks past the lens. The camera turns to reveal everyone behind her subtly watching in admiration. Music:Beat drops on the final frame with a clean cinematic logo-style ending. This version adds a subtle "reality bends around her"moment, making it feel more dramatic and memorable while still fitting the polished female influencer aesthetic that performs well on short-form platforms.show more

A knight tried his best... then ran out of... stamina. Good thing the princess had a Kopiko. ☕🍬 Made with Seedance 2.0 in Creatify AI Prompt: 15-second cinematic fantasy commercial. Ultra-photorealistic live action. Deadpan humor played completely seriously. Maintain the exact provided female model as the princess throughout every shot. Shot 1 (0:00–0:02) A colossal medieval stone tower stands on jagged cliffs during a violent thunderstorm. Rain pours as lightning reveals a massive dragon circling overhead. On the highest balcony, the princess in an elegant ivory medieval fantasy gown watches calmly. Far below, a lone knight rides toward the tower. Shot 2 (0:02–0:04) The knight rushes inside, abandons his horse, draws his sword, and climbs the vine-covered tower. Halfway up, exhaustion overtakes him. His hands shake, he loses his grip, and falls onto a lower ledge. He is awake but too exhausted to continue. The princess looks down at him with a disappointed expression. Princess: "...Seriously?" Shot 3 (0:04–0:06) Close-up. The princess reaches into a hidden pouch, unwraps a Kopiko Coffee Candy, and places it in her mouth. The wrapper crinkles clearly. Her expression changes from mildly bored to completely focused and confident. Shot 4 (0:06–0:10) She leaps from the balcony and sprints down the tower by wall-running. As she passes the knight, she grabs his sword. She dodges the dragon's fire, uses its lowered wing as a launch ramp, lands on its back, and defeats it with one clean strike. The dragon pauses, looks back at her, silently decides it has lost, and flies away into the storm. Shot 5 (0:10–0:13) The princess lands beside the exhausted knight. She offers him a hand. He tries to stand but collapses from exhaustion again. Without effort, she picks him up in a bridal carry and walks away. The knight looks embarrassed but thankful. The storm begins to clear behind them. Shot 6 (0:13–0:15) Clean premium product shot. A pack of Kopiko Coffee Candy rotates in slow motion against a black background with subtle golden lighting. Still carrying the knight, the princess catches another candy with one hand, unwraps it effortlessly, smiles confidently, and eats it. On-screen text: KOPIKO Stay Awake. Stay Sharp. #Creatify #aimediabuyer #aitools #MarketingTips #D2CMarketingshow more

"This was filmed three weeks ago at Cedarwood Animal... Rescue in Richmond, Virginia. The adult dog lying in the corner is Hazel. She's approximately three years old, a Beagle mix with a soft tricolor coat and quiet, gentle eyes. Hazel came to Cedarwood six weeks ago a stray pickup, clearly a nursing mother, brought in without her puppies. Staff searched the area where she'd been found for three days. Nothing. Hazel settled into the shelter the way a dog does when it doesn't have a choice. She ate. She accepted affection. But staff noted she was consistently subdued - not depressed in a clinical sense, just carrying something. She'd often lie with her nose pressed to the base of the kennel door. Shelter director Fran said: "We see it sometimes with mothers who come in separated. There's a quality to how they hold themselves that's different from other surrenders. Hazel was looking for something constantly." Two weeks after Hazel arrived, a family in the same neighborhood where she'd been found contacted Cedarwood. They'd discovered two small puppies in their garage clearly newborns, eyes still closed when found. The family had bottle-fed them for two weeks and brought them in once they were stable enough to be moved. The vet examined all three. The DNA profile and the puppies' age were consistent. These were Hazel's. Volunteer Theresa carried the puppies in a small transport crate into Hazel's kennel room on a Thursday morning. The footage shows Hazel lying in the corner, head down, the way she always rested. Theresa set the crate on the floor and opened the door. The two puppies - round and clumsy, about five weeks old tumbled out and wobbled toward the center of the room. Hazel's head came up. She was on her feet before the puppies had taken three steps. She crossed the kennel and pressed her nose to both of them, one then the other, then began licking them with the focused urgency of a mother accounting for every inch of her children. Her tail was going so fast it seemed to move her whole back end. The puppies pushed back into her. Hazel circled them, licking and pressing and circling again. Theresa stood at the kennel door and cried. Fran told us: "We've been doing this for eleven years. Reuniting a mother with her puppies after separation is one of the things that never gets routine. Hazel had been carrying that loss quietly for two weeks. The moment those puppies were on the ground, something in her just unlocked." All three were placed together in a foster home the following week. They'll be listed for adoption once the puppies are old enough - as a group, Fran said firmly. "They're not being separated again." Some things that go missing find their way back. And when they do, the relief is written all over a body that was never fully at rest without themshow more

Seedance 2.0 on Yapper Prompt: Character & Setup Full-body... based on reference image (upper-body reference), with face, hairstyle, and features matched exactly. She wears a hat. Expression is tense and restrained, slightly painful, with a faint frown—carrying a strong sense of despair and intensity in his eyes. Clothing: Dark grey coat, dark inner layer, no belt, wearing heavy black-tech gauntlets. Environment: Apocalyptic wasteland, grey-blue sky, strong winds, smoke and debris in the air. Meteors streak across the sky with faint flames and trails of smoke. ⸻ Visual Style IMAX film look with a 35mm Panavision lens. Low-saturation grey tones, compressed shadows with preserved detail, subtle film grain and edge vignetting. Heavy, oppressive atmosphere with realistic lighting and physical presence. ⸻ Camera Rules One continuous handheld shot with subtle breathing motion. Starts from a low-angle upward shot, focusing on the face and upper body, slowly circling to a frontal view during transformation. The weapon in his hand remains the visual anchor. ⸻ 0–3s · Stare The injured protagonist stands still, slightly lowering his head. Her body is tense. She slowly raises her right arm forward, stiff and heavy. A dim glow surrounds the gauntlet. Her breathing subtly moves her body. Suddenly, her eyes ignite with purple-white light, creating strong lens flares. ⸻ 3–6s · Activation A deep whisper: “Transform!” She snaps his right hand sharply. Purple crystal-like electricity bursts from her arm. The air compresses inward, distorting space. A circular shockwave expands around her. Strange glowing blue runic lines appear and orbit his body. ⸻ 6–9s · Tearing Dark gold cracks erupt from her chest. Thick golden liquid flows like blood. Blue mist and fine electric arcs surge outward. Her coat tears apart from the inside, edges burning into ash. Fragments of organic armor burst outward, then unnaturally retract and reattach. Her face tightens in pain as glowing blue markings spread symmetrically. A small tear opens on his cheek, revealing pulsing orange light beneath. ⸻ 9–12s · Growth New organic matter seeps from within, shimmering with iridescent light and moving toward the chest. White armor plates collide and fuse, leaving scorched marks. The chest core flickers like embers, not fully stabilized. Her outer clothing is violently stripped away. Purple-black metal spreads across her face, forming an uneven mask. Compound eyes begin forming, flickering irregularly. ⸻ 12–15s · Completion The helmet seals fully. Horn-like structures grow upward, burning with purple-gold flames. One eye glows steadily while the other flickers with electrical instability. Armor is uneven and battle-damaged, with glowing cracks and leaking fluid. The camera slowly circles to her right, then pulls back from above. She shifts into a ready combat stance, standing against the harsh environment.show more

This was filmed last Thursday afternoon at Animal Rescue... in Mississippi. The dog lying in the corner is a four-year-old tan Retriever mix named Maple. The two small puppies in the cardboard box are hers. Maple came into Gulf Coast three weeks ago as a stray picked up near the Port of Biloxi. She was thin and clearly had recently been nursing. The intake team suspected she had puppies somewhere nearby but searches of the area came up empty. For three weeks, Maple lay in her kennel in a way the staff described as "not quite present." Ate enough to stay healthy. Accepted gentle handling. But mostly kept her head down and stayed quiet. The volunteers who worked her kennel talked about her in the break room. Something about her stillness was different from ordinary shelter sadness. It felt like waiting. Ten days ago, a family in Ocean Springs found two small puppies under their back deck. About six weeks old. Brought them to Gult Coast. Standard intake. No connection was made immediately. Then a sharp-eyed volunteer named Tess was reviewing intake photos and noticed the puppies' coloring. The shape of their ears. She pulled Maple's intake paperwork and compared. She brought it to the shelter director, a man named Gary. Gary said: "Tess came into my office and laid both files side by side on my desk and didn't say anything. She just looked at me. I looked at the photos. And I said, 'Let's do a introduction and see what happens.'"Tess carried the puppies to Maple's kennel in a small cardboard box. The security camera was already running. Maple was lying in the corner with her head down, the same way she'd been lying for three weeks. Tess set the box on the floor and opened the flaps. The puppies tumbled out, unsteady and curious. Maple lifted her head. She stared. One second. Two. Then she was on her feet. Moving fast. She covered both puppies in frantic licks, nose pushing into each of them, checking, circling, pressing them close. The puppies climbed over her legs, pawing at her face. Maple's tail moved faster than any of the staff had ever seen it move. Tess had to leave the kennel because she couldn't stop crying. Gary told us: "Three weeks of that quiet stillness. And then in about four seconds she was a completely different dog. She knew immediately. Knew them instantly. It was the most remarkable thing I've ever witnessed in eight years of running this shelter." Maple and the puppies are now in a foster home together while the puppies grow old enough for adoption. Maple eats full meals now. Plays. Greets the fosters at the door in the mornings. The foster, a woman named Rosa, told us: "She's a completely different dog with them here. Like she finally exhaled after three weeks of holding her breath." The puppies will be adopted when they're ready. The rescue is hoping to find Maple her own home at the same time. Some kinds of waiting are too deep for words. But the ending, when it finally comes, is unmistakable.show more