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720p was fine. 1080P changes everything. Seedance 2.0 is live on PixVerse — sharper details, smoother motion, cinema-grade lighting. 72H early access starts now. RT+Follow+Reply=300Creds(72H ONLY)

33,287 görüntüleme • 3 ay önce •via X (Twitter)

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She said nothing… until everything came out 😌 Generated with Seedance 2.0 on BudgetPixel AI Prompt : Main Character: A beautiful Korean high school girl wearing a realistic Korean summer school uniform (하복). Natural skin texture with no beauty retouching. Hair becomes messy during combat, with expressive emotional acting. Facial proportions remain fully consistent throughout all shots. She begins timid and shocked, then gradually becomes determined and defiant. 0–1.5 seconds: The female lead quietly studies at her desk. Four delinquent schoolgirls surround her and begin bullying her. They mock her for studying, aggressively sweep her books off the desk, and shove her shoulders. Wide-angle handheld camera movement. Books fly in slow motion. Tense classroom atmosphere. Realistic school bullying energy, shaky camera motion, cinematic realism. 1.5–3 seconds: Close-up of the protagonist’s face. She slowly stands up. Her expression shifts from fear to cold determination. The bullies remain blurred in shallow depth of field behind her. A 0.5-second moment of silence. Slow cinematic push-in shot. Silence except for ambient classroom sound and tense breathing. 3–5 seconds: First confrontation. One bully throws a punch; the protagonist blocks and counters with a strike to the stomach. Another attacker rushes from the side; she dodges and retaliates with a spinning elbow strike. Handheld tracking shots follow the motion closely. Dynamic motion blur, impact camera shake, realistic fight choreography. No supernatural effects. 5–8 seconds: The remaining two bullies attack simultaneously with punches and kicks. The protagonist uses quick footwork and evasive movement to avoid hits. Dynamic 360-degree rotating camera movement. Rapid chained kicks and elbow attacks knock the attackers down. Classroom desks and objects shift from the impacts. Intense cinematic action pacing. 8–10 seconds: The final attacker charges toward the protagonist. The female lead leaps high into the air. Low-angle shot from the ground. 30% slow motion. Hair and skirt flow naturally. Dramatic cinematic lighting. Floating dust and airborne particles drift slowly through the air. 10–12 seconds: Midair 360-degree spinning kick. Slow-motion impact directly hits the final bully’s chest. Extreme close-up of the collision. The bully is launched backward into the classroom wall. Debris and dust explode outward. All bullies collapse onto the floor. Immediately after landing, the camera speed snaps back to normal for dramatic impact. 12–14 seconds: Victory moment. The protagonist stands alone in the center of the classroom, breathing heavily. The four bullies lie defeated around the room. The camera slowly and dramatically pushes toward her face. Soft cinematic bokeh background. Her expression is determined yet emotional. 14–15 seconds: Freeze-frame close-up. The protagonist stares directly into the camera and calmly says in Korean: (“I need to get into college.”) Delivery is realistic and emotionally restrained. After the line ends, she returns to looking like an ordinary student. Calm, emotional ending. The film emphasizes the intense academic pressure faced by Korean students. Style References: Korean action cinema, ultra-realistic cinematography, cinematic handheld action, emotional realism, grounded fight choreography, realistic Korean classroom atmosphere, high-budget Netflix K-drama aesthetics, cinematic lighting, dramatic silence beats, powerful female protagonist, grounded emotional tone. Negative Prompt: Cartoon, anime, CGI-looking textures, fake skin, extra limbs, distorted faces, exaggerated fantasy armor, unrealistic physics, low quality, blurry faces, overexposed lighting, comedic tone, childish style, fantasy classroom, male protagonist, bad anatomy, unrealistic body proportions, supernatural effects, glowing eyes, energy auras, magic.

Ai Arainz

82,611 görüntüleme • 2 ay önce

🚨 WARNING: TOMORROW WILL BE THE WORST DAY OF 2026!! 98% of people will lose everything. The U.S.-Iran peace deal has officially COLLAPSED. What was supposed to be a bullish signal for markets is now off the table. And when markets open on Monday, this won’t be “just a dip.” This is a geopolitical catalyst hitting an already fragile system. Stocks will dump. Metals will dump. Crypto will dump even harder. Insiders are already selling EVERYTHING except oil. This is no longer about positioning. It’s about protection. The dollar is losing strength in real time. Liquidity is tightening. And now the pressure just multiplied. The U.S. and Iran spent weeks in negotiations. No agreement. No ceasefire extension. No breakthrough. The Strait of Hormuz is still closed. And the peace talks are over. That changes the entire risk landscape. Because when diplomacy breaks down, markets don’t wait. They react immediately. And they don’t price hope. They price escalation. From here, there are only three paths forward, and they do NOT carry the same consequences: 1⃣ CONTAINED OUTCOME Backchannel diplomacy resumes, tensions ease, markets stabilize after the initial shock. 2⃣ ESCALATION CYCLE Talks remain frozen, pressure builds, and markets start pricing sustained regional instability. 3⃣ FULL BREAKDOWN The situation deteriorates fast, forcing an immediate repricing of oil, global risk, and capital flows. That third scenario is where things turn dangerous. Because none of this is happening in a vacuum. At the same time: → Bonds are being dumped aggressively → Yields are surging higher → The dollar is weakening → Liquidity is drying up Put the pieces together. When geopolitical stress collides with financial fragility, markets do not adjust smoothly. They dump violently. Oil does not climb slowly. It goes parabolic 10-15-20% a day. Capital does not rotate gradually. It flees risk instantly. And risk assets? They do not “correct.” They DUMP HARD. This is how systemic reactions start. Because once markets begin pricing duration instead of temporary shock, the entire framework changes. Inflation expectations rise. Policy options shrink. Central banks get cornered. And by the time they respond, the damage is already done. The collapse of U.S.-Iran peace talks is not just another headline. It is a trigger. A new layer of uncertainty on top of an already unstable system. Watch oil. Watch bonds. Watch the flows. Because when this starts accelerating, reaction time disappears. I’ve spent years studying macro and market stress cycles. When the next move becomes obvious, I’ll post it here first. Follow and turn notifications on. Because once it reaches the mainstream headlines, it’ll already be too late.

0xNobler

641,778 görüntüleme • 3 ay önce

Here we go GPT Image 2 and Seedance 2.0 is now live on insMind #insmind #insmindai Generated this GRWM video using the Prompt : Aesthetic “Get Ready With Me – Gym Edition” storyboard layout, minimal neutral-toned design, soft beige and cream color palette, clean editorial grid. Top header text: “GET READY WITH ME” subtitle: “gym edition” in elegant script font subheading: “step-by-step activewear routine” The layout is divided into 4 blocks, each showing a sequence (1–8 steps per row), featuring the same young woman throughout with consistent face, natural makeup, athletic toned body, hair tied in a messy bun or sleek ponytail. BLOCK 1 – BASE (1–8) 1–2: putting on a fitted sports bra 3–4: wearing high-waisted gym leggings 5–6: adjusting waistband / smoothing fit 7–8: mirror check, relaxed confident pose BLOCK 2 – LAYERS (9–16) 1–2: putting on oversized gym t-shirt or cropped top 3–4: adding lightweight zip-up hoodie or jacket 5–6: tying hair tighter / adjusting outfit 7–8: slight movement pose (stretching arms or twisting body) BLOCK 3 – DETAILS (17–24) 1–2: wearing smartwatch / fitness band 3–4: adding minimal jewelry (thin chain, studs) 5–6: putting on gym gloves or lifting straps 7–8: wearing sunglasses or tying hair final look BLOCK 4 – FINISH (25–32) 1–2: putting on training shoes (clean white sneakers) 3–4: grabbing gym bag / water bottle 5–6: holding headphones / protein shaker 7–8: full-body mirror shot, confident final look Side icons representing categories: base, layers, accessories, shoes, final look. Soft natural lighting, indoor minimal room or modern apartment, neutral background, clean shadows, editorial fashion photography style, consistent framing across all panels. Footer text: “You’re ready. Go own your workout.” Video prompt : Use provided storyboard image as reference CONCEPT: Get Ready With Me — Gym Edition TIMELINE: 0 : 00–0:04 Sports bra on High-waisted leggings wear Waistband adjustment Mirror check 0 : 04–0:08 Oversized tee / cropped top Lightweight hoodie or jacket Hair tie (ponytail/bun) Light stretch / body turn 0: 08–0:12 Smartwatch / fitness band Minimal jewelry Gym gloves / lifting straps Sunglasses on 0: 12–0:15 Training shoes Grab gym bag + water bottle Headphones / shaker Walk-out + final confident look STYLE: Minimal, neutral tones, soft beige/grey palette, natural indoor lighting, clean modern interior, athletic aesthetic CAMERA: Close-up + mid shots, soft focus, shallow depth of field, steady framing, subtle handheld realism TRANSITIONS: Match cuts, outfit snap transitions, fabric motion cuts, quick clean jump cuts synced to movement OUTPUT: Loopable, smooth pacing, satisfying flow, social media ready (vertical 9 : 16

Smiling Khan

31,594 görüntüleme • 3 ay önce

FSD 14.3.5 Down Under initial review Let me start right at the top by saying that in my 2.5 hour drive, I had 2 instances of a critical issue which I'm sad to say, in my opinion is a blocker to any wide roll-out of this build. The issue is shown in the clip below, which I'm calling the "Wiggle of Death". Half way through the roundabout you can see the steering wheel start wiggling from left to right as the car heads straight for the curb. Had I not intervened, it could have resulted in an impact. The other instance was the same behaviour, only towards a curb while turning right in a car park. Sorry guys, but it is what it is. It's what early access testing is for. On a more positive note, several major issues have been addressed in this build: FIXED: 🎉110km/h zones - they work perfectly now! Locked in at 115 in hurry, 112 in standard and 109 in chill. We don't talk about sloth on this account 😆 🎉 Follow distance / tailgating is resolved. Hurry now feels super comfortable and standard sits just a little further back again. 🎉 Lane changes were not a problem the entire drive. Every single one felt natural. I never really had many issues on 14.3.3 though tbh INCONCLUSIVE Speed sign recognition - I didn't have any instances today of it misreading a speed sign, however I didn't pass any 90 signs this time which have been most problematic on 14.3.3 - need more testing to confirm either way Exits on freeways - Didn't have any instances of it trying to take incorrect exits on freeways, though this had only happened a couple of times to me on 14.3.3 so need more data to confirm either way UNRESOLVED School zones - same issue occurred near my house where the car goes 40 regardless whether school zone is active or not and did not read the END SCHOOL ZONE sign to signal it to return to the speed limit. Didn't test during school zone hours though. Brake jabbing / hard braking due to indecisiveness at roundabouts - still had several occurrences of this tonight. Not particularly unsafe, but still uncomfortable. REGRESSION Noticed a couple of random slowdowns on the highway for no apparent reason. Nothing major, just strange. CONSLUSION A real shame about the Wiggle of Death, because other than that it's a really solid build and has fixed the major usability issues from 14.3.3. I'm hoping for a quick fix from the Tesla AI team. I logged lots of snapshots and some disengagements for them to review.

Rob Grieves 🇦🇺

18,377 görüntüleme • 13 gün önce

What if modern medicine felt like a work of art? Today SONATA is live in NYC, SF, and LA, and we couldn't be prouder to have helped bring it into the world. Sonata maps your whole genome, hundreds of biomarkers, your cellular age, and then puts a real care team on top of the whole picture. Healthcare built for your biology, actually yours. When the founder, Sagan Schultz first walked us through his vision of concierge medicine, genomics, biomarkers, and contextual intelligence woven into one experience, we knew right away we wanted to make something harmonious, artful, and calm; a brand you'd trust with your body. A ‘sonata’ is a musical form built on structure: distinct movements, precise notation, played with feeling. That felt like everything care should be; mathematical underneath, human on the surface. We knew this name was perfect. Visually, we rendered a calla lily 🌷in cross-processed colors of petal blues, sunset corals, and an iridescent wash to give the data-heavy brand room to breathe in airy, open spaces. Then we built the counterpoints of exacting copy, fine atomic details of UI, data charts, and user flows. The elegant wordmark paired against against a living flower felt like the right balance. We carried that discipline into motion and the product itself. The flower breathes rather than spins. Interfaces settle with an unhurried weight. The user flows follow the same logic: one step at a time, plain language, your results building into a picture as you go, a doctor visible at the end of every decision. We treated movement and flow as clinical trust signals: a system this confident doesn't need to shout. All of it is tuned to one job, helping you be present with your body's information. We aimed to make a new medicine brand that felt modern and timeless at once. ~ Little Plains helped create the naming, brand strategy, positioning, verbal system, visual identity, motion design, and product surfaces where the science becomes care. Grateful to Sagan, David, Hiya, Dev, and the SONATA team for the trust. Your health story begins today. 🌸

Emmett

22,523 görüntüleme • 26 gün önce

EVERYONE PROMPTS THE ACTION. ALMOST NOBODY LOCKS THE IDENTITY — WHICH IS WHY TWO-CHARACTER SCENES FALL APART. Two freerunners racing across Tokyo rooftops, eight cuts, corkscrews over a rooftop gap at the end. The parkour is the easy part. Keeping them two separate people who never blend into each other is the part that actually breaks. Here's the full prompt built that way. Attach two reference photos as image_1 and image_2, and the same structure works for any multi-character action piece: FORMAT: 15 seconds, 16:9, 1080p, 8-cut cinematic ultra-advanced parkour footage. CHARACTERS: Two realistic individuals from image_1 and image_2. Use the attached images as absolute character references, and fully maintain the facial features, hairstyles, hair colors, skin textures, body types, height differences, outfits, color schemes, and age appearances of each person across all cuts. No altering into different people, face swaps, outfit changes, hairstyle changes, or mixing of the two individuals' features. SETTING: A sunny modern Japanese city reminiscent of Tokyo, Shibuya, and Yokohama — rooftops, alleys, staircases, railings, pipes, concrete walls. The two protagonists, as equals, race through at high speed running side by side, following, crossing paths, and coordinating. CUTS: 1. (00:00–00:01.60) Low-angle rear tracking. Both accelerate side by side and simultaneously kong vault over separate obstacles. 2. (00:01.60–00:03.40) Front low-angle. One wall runs the left wall, the other the right, then tic-tac to cross in midair and land on opposite rooftops. 3. (00:03.40–00:05.20) Lateral tracking. Consecutive precision jumps, then cat leaps to grab and climb a high wall. 4. (00:05.20–00:07.20) Rooftop tracking. The leader dash vaults, the trailer websters over the gap, then they swap front and back positions. 5. (00:07.20–00:09.20) Overhead moving camera. Both dive roll, then run side by side to speed vault a long railing. 6. (00:09.20–00:11.30) Handheld retreating from the front. One underbars, the other side flips, conquering the obstacle simultaneously. 7. (00:11.30–00:13.20) Drone from diagonal rear above. Both palm spin off left and right walls, kong vault, accelerate into the final jump. 8. (00:13.20–00:15.00) Climax. Both leap a large rooftop gap, each doing a corkscrew, camera circling them in midair as they land on separate rooftop edges — then run side by side into the distance. QUALITY: Live-action film quality. World-championship-level smooth freerunning. Realistic center-of-gravity shifts, muscle movement, natural landing impacts, swaying hair and clothing. Sharp background, natural motion blur only during high-speed movement. PROHIBITED: Facial distortion, altering into different people, face or body swaps, outfit changes, hairstyle changes, body type changes, limb multiplication, duplicates, body fusion, penetration, warping, floating, unnatural landings, anime style, CG style. A few things worth noticing about why it's built this way: The character block does identity work three separate times — the reference images, the "fully maintain" list, and the prohibited list at the end. That redundancy isn't padding; each one closes a different door the model tends to walk through. The prohibited list names the exact failure modes — face swaps, body fusion, limb multiplication. Telling the model what not to do is more effective here than describing what you want, because these are the specific ways two-character scenes collapse. Every cut assigns each person a distinct action — one wall runs left, the other right; one underbars, the other side flips. Giving them separate roles keeps them functionally two people, so the model can't average them into one. And the cuts are individually timed and framed. Long continuous motion is where identity drift creeps in — breaking it into eight discrete shots gives the model less room to blend them. Made in Seedance 2.0.

Nexlow

112,231 görüntüleme • 16 gün önce

We have released Seedance 2.0. Due to the 2500-character limit, please translate the following prompts into Chinese before use. [Technical Specs] Generate a 10-second, 16:9, 720p cinematic video. Smooth continuous camera motion with no cuts. The overall pacing is fast and tightly compressed, with rapid escalation from start to finish. Audio evolves quickly from a high-performance engine idle into intricate mechanical shifting and clicks, culminating in a soft electronic chime and the distinct sound of a "mwah" blowing kiss. [Global Constraints] Only the evolving mechanical character appears; no other humans or characters. All transformations must follow physical logic and maintain structural continuity. No object should pass through or intersect with other solid objects. Every robotic component must originate from visible parts of the Porsche 911 (doors, hood, wheels, chassis) through unfolding, splitting, or reconfiguration. [Scene Setup — 0:00–0:01] A sleek, metallic silver Porsche 911 sits on a rain-slicked futuristic city street at night, neon lights reflecting off its polished surface. The camera starts at a low-angle front-quarter view and begins a fast, smooth tracking-arc towards the side. [Rapid Transformation Initiation — 0:01–0:03] Transformation triggers instantly. The car’s suspension drops, and the frame begins to fracture into a complex grid of panels. The doors swing open and begin to segment into articulated arm structures. The front hood splits down the center, folding inward to reveal a glowing internal core. The headlights flicker and start to reorient as the "eyes." [Accelerated Feminine Reconfiguration — 0:03–0:07] The mechanical action is dense, overlapping, and fluid, emphasizing graceful but powerful motion. Lower Body: The rear wheels and wheel arches split and rotate downward, reassembling into slender, high-heeled mechanical legs. Torso: The roof and rear engine cover slide and compress, forming a sleek, curvaceous hourglass torso that retains the car’s aerodynamic lines. Arms & Hands: The side mirrors and door panels unfold into delicate but strong hands and fingers. Head: The front bumper and emblem area segment and rise, folding into a feminine-shaped head with a sleek metallic "helmet" visor. [Logical Transformation Constraints — No Spontaneous Appearance] The robot’s "skin" is composed of the car's outer silver panels. The internal frame and wiring emerge from the engine and undercarriage. No parts appear out of thin air; every joint is a reconfigured automotive component. [Transformation Completion — 0:07–0:08.5] The robot stands tall and elegant. The silver panels lock into place with a satisfying "click," revealing glowing blue LED accents in the seams. The silhouette is clearly feminine, humanoid, and sophisticated, reflecting the premium design of the original vehicle. [Final Hero Ending — 0:08.5–0:10] As the robot stabilizes, the camera performs a rapid, smooth zoom-in (Dolly-In) directly to her face. The robot tilts its head slightly, and the optic sensors (eyes) brighten. It brings its mechanical hand to its metallic lips and performs a graceful blowing kiss (fly-kiss) gesture toward the camera. The video ends with a close-up of the face, capturing the reflection of neon lights in its visor just as the kiss is released. [Cinematography Notes] Continuous Motion: No cuts or fades; the camera must transition from the car-tracking shot to the face-zoom seamlessly. Material Consistency: The robot must maintain the exact metallic silver paint, texture, and reflections of the Porsche. Energy: The transformation should feel high-energy and "force-driven," while the final gesture is soft and charismatic.

underwood

19,462 görüntüleme • 4 ay önce

Ronan Farrow just did to Sam Altman what he did to Harvey Weinstein... The New Yorker dropped an 18-month investigation this morning based on 100+ interviews and a stack of internal documents that were never supposed to leave OpenAI. Ilya's secret memos, Dario Amodei's private journal. Board communications, the full picture of who Sam Altman is when the cameras are off. And the pattern starts way before OpenAI. At his first startup Loopt, senior employees went to the board and asked them to fire Sam as CEO. This happened twice, over concerns about leadership and transparency. He left, joined Y Combinator, and the same thing played out. Partners complained to Paul Graham about Sam's behavior. Graham's private take to colleagues: Sam had been lying to us all the time. Nobody removed him, he kept getting promoted. Eventually he landed the CEO seat at what is now the most consequential AI company in the world. Inside OpenAI, Ilya Sutskever spent months compiling evidence: 70 pages of Slack messages, HR documents, and photos taken on personal phones because employees knew company devices were being monitored. He sent everything to the board as disappearing messages so Sam couldn't make it go away. The very first line of his memo lists Sam's core pattern, and the first word on that list is: Lying Dario Amodei saw the same thing and handled it differently. He kept a private journal for years, over 200 pages, titled "My Experience with OpenAI" with a subheading that said "Private: Do Not Share" After all those pages, his conclusion was one sentence: the problem with OpenAI is Sam himself. He eventually left and built Anthropic. 2 of the smartest people in AI independently reached the same verdict. Neither could stop what was happening. The superalignment team, the group responsible for making sure AI doesn't go off the rails, was promised 20% of OpenAI's compute. 4 people who worked on or with the team told The New Yorker the real number was 1-2%, running on the oldest cluster with the worst hardware. The team got dissolved before finishing its work. Safety was a talking point, not a priority. Sam told the board that a safety panel had approved controversial features in GPT-4. When board member Helen Toner asked for the documentation, it turned out the most sensitive features had never been approved at all. Separately, Microsoft released an early version of ChatGPT in India without completing a required safety review and Sam never mentioned it to the board. When the board finally fired him in November 2023, he texted Satya Nadella directly with his own replacement board lineup. Thrive Capital put its planned $86B investment on hold and signaled it would only close if Sam came back, giving every OpenAI employee a financial reason to support his return. The 2 board members selected to run the "independent investigation" into Sam's conduct were chosen after close conversations with Sam himself. He engineered his own reinstatement and nobody blinked. The New Yorker quotes a board member describing Sam as having two traits you almost never see in the same person: a desperate need to be liked in every interaction, and a near-complete indifference to the consequences of deceiving someone. Multiple sources used the word "sociopathic" without being prompted and without talking to each other. The article also drops a line that might be the best summary of the whole thing. They compare Sam to Steve Jobs and his famous "reality distortion field" then point out that even Jobs never told his customers that if they didn't buy his MP3 player, everyone they loved would die. Sam wrapped that exact pitch in the language of AI safety and rode it to a potential $1T IPO. That IPO is being prepared right now, while OpenAI signs government contracts spanning immigration enforcement, domestic surveillance and autonomous weapons deployed in active war zones. Meanwhile, The Information reports that his own CFO told colleagues she doesn't believe the company is ready to go public in 2026. Farrow is answering questions on Hacker News right now. The full piece is open access. Read it before Sam figures out how to make this disappear too

BP

16,557 görüntüleme • 4 ay önce

‡ Brant – Fast, Expensive, and Worrying In a recent 2yo MSW race at Santa Anita, Brant, a $3m OBS March sales purchase, made a winning debut for his high-profile connections. Sent off at odds of 4/5, he tracked the pace before taking command on the turn, and drew off to win by 5 1/4 lengths. He recorded a very fast raw time, and a 101 Beyer figure. His high auction price was due largely to his having breezed an eighth of a mile in :09 3/5 at OBS. In the wake of the bidding, Amr Zedan, who purchased the colt on the recommendation of his trainer, Bob Baffert, and bloodstock agent Donato Lanni, was quoted in TDN as saying: "These horses are difficult to come by. He ticked all the boxes. He was a very precocious Gun Runner with a great pedigree. And more importantly, if you have someone like Mr. [Bob] Baffert in your corner, that gives you the courage and the guts to just go after quality. And you'll know they are in the best hands to turn them into champions. This one is for the team: Donato and obviously Bob and his ability to turn them into champions. So if you have the great team, the great training, the rest is easy. Was he pricey? Yes. But quality dictates price. So I never hesitated.” The hyperbole, and boilerplate optimism, are understandable, as even owners with very deep pockets prefer not to dwell on their inevitably long lists of expensive failures. But Zedan and their team have also enjoyed a number of high-profile successes, including Taiba, another Gun Runner colt, which won the Santa Anita Derby and the Malibu, both Grade I, before being retired to stud. Lanni, who has signed for at least some of Zedan's other good horses, was quoted as saying: "This is what the boss [Baffert] wanted and what Amr wanted. Gun Runner is a tremendous stallion and he worked really good and galloped out good. He did everything you want one to do.” Again, boilerplate, and if one were to take the reactions of the owner and agent at face value, it would be easy to arrive at the conclusion that the horse had no faults. But that would be naïve. So, let's first take a look at Brant's pedigree. Gun Runner is a "top" sire, and well-capable of getting high-class runners. It's a bit too early to fully judge him as a source of durability, but excluding his current crop of 2yos, his runners are only averaging 10 career starts. That number will rise, but likely not enough to reach, let alone exceed the contemporary industry average of ~15. In other words, though he himself raced 19 times, and won his swan song (the Pegasus World Cup) at five, there is no evidence to suggest that he is likely to eventually prove to be a particular source of durability. Brant's dam, Tynan, raced 13 times, and he is her first registered foal. His second dam, Pappascat, has produced at least five foals to have raced, and while only one has reached 20 starts, four of the five raced at least 12 times, which by today's degraded standards, isn't so bad. The fact that the coat color inherited by Brant, and his dam, can be traced to a notably unsound influence, Unbridled's Song, may or may not be meaningful. But I wouldn't ignore it as a potentially worrying connection. Brant's dam-sire, Liam’s Map, was lightly raced himself, and both his sire (US) and dam have poor records in terms of durability. As a sire, he has thus far produced numbers similar to Gun Runner. So while Brant's first two dams promise more than many that I have come across in similar assessments, and his sire displayed durability on the track, his overall pedigree suggests average durability at best. And what about the word that Mr. Zedan used twice in the above quote – "quality"? Well, Curlin is a quality sire, but in terms of bottom-line production, it leaves a lot to be desired. That's not to say that there are no good runners to be found, in fact the closely related Pappacap, under Brant's second-dam, was a Gr. III winner, and twice Grade I placed. However, through Brant's first six dams at least, I believe there to be just a single Grade I winner, Al Qasr, a Champion stayer in Peru, which appears under his fourth-dam. That is not, by any reasonable definition, a strong bottom-line, although it is fair to say that Brant's first dam is unproven. *** What might be learned from Brant's debut race? Everyone can see that he ran fast, and was much the best of that field, but I would say that there were some nuanced aspects of his performance that were both interesting, and worrying. Those nuances relate to his action, as viewed both through the pan shot, and head-on. Watching the basic (pan) view, Brant appears to display some "knee action". It isn't extreme, but also isn't the type of action that ideally suits dirt runners, and I wouldn't say that the colt appears totally comfortable. Here's a brief, related post on knee action, for reference: Then, we have the (embedded) head-on view, in which Brant displays seriously distorted action in his near-fore (left front leg; right when viewed head-on). It's a fairly extreme example of what is called "winging", and for a number of reasons, does not bode well for durability. Such action is never desirable, and is typically related to certain foreleg conformation flaws, which may include an offset knee, and/or toeing in or out, etc. Note also that under typical American racing conditions (i.e. tightly turning, left-handed tracks), the left front leg is subjected to the greatest torque, which amplifies the potential for injury. It should go without saying that there are occasional anomalies, horses with poor action that remain sound despite such flaws. But they are the exceptions, and it is not uncommon to find abbreviated careers associated with such action. For further reference, here is a link to a closely related post that I wrote after a filly named Amor Fati broke her maiden in eye-catching style in February of 2024. She has made just one further start, and hasn't recorded a work over the past 15 months. What's interesting about Brant is that there are two separate issues relating to his action, and that the some obvious mitigating steps that could have been, or should be taken, in efforts to keep him sound, were not, and are unlikely to ever be taken. First, with regard to his knee action, keep in mind that it is a characteristic that is more typically associated with turf horses. And guess what? Brant's dam was a turf horse. His second-dam was also at her best on turf, and was Gr. II placed on that surface. Also, in some respects, he physically resembles that female line more than his sire. Of course no one who spends millions on a horse that breezed exceptionally fast at a 2yo sale would be thinking "turf", given that the commercial market, and stakes schedules greatly favor dirt runners. But at the same time, it would be a mistake to assume that a fast breeze at OBS necessarily indicates that a given horse will be best suited to dirt. I say that partly because the OBS track features an all-weather surface called "Safetrack", which is far from being identical to dirt racing surfaces. While countless horses have gone through those sales and excelled on dirt, it should never been taken for granted that it will be a preference. And to further flesh out the point, take a look at Brant's breeze video through this link (his pedigree page can also be seen): Despite being rushed to cover a furlong much faster than he ever will again, I would say that he looks smoother, and displays slightly less knee action than in his recent debut race. Why? Could it be, perhaps, because he would prove more comfortable on turf and/or synthetic tracks, than dirt surfaces? Given how he ran first out, this is purely an academic point, as there is virtually no chance that his connections would consider switching surfaces, unless his form on dirt were to deteriorate badly. The second, more important point, relates to Brant's distorted action. I can't find a head-on conformation photo of the colt, but would be very surprised if he does not display flaws in his near-fore. Even in the very unlikely event that the leg were to appear correct, such distorted action would have been on display at the sale, as well as in pre-training at Eddie Woods' farm. And it defies belief that experienced horsemen who were prepared to purchase an extremely expensive horse for an important client would not have covered that base. Which in turn begs two important questions. First, why recommend the purchase of a very expensive horse, no matter how fast, that has yet to race, and displays such distorted action? Secondly, why choose to give such a horse to a trainer whose style and history suggest that injury risk would likely be amplified, rather than mitigated? The answers to those questions help to illuminate why the breed-to-sell paradigm is so insidious. As long as breeders and stud farms are willing to overpay for stallion prospects, and turn blind eyes to conformation defects, distorted action, lack of durability, and modest female families, the connections of horses like Brant need only hope that they hold together long enough to win one or two big races, enabling them cash in. These are the number of career starts made by Zedan's previous best (and expensive) male runners: 9 Arabian Lion 6 Arabian Knight 9 Muth 10 Medina Spirit 11 Hejazi And as long as the AGSC (American Graded Stakes Committee) continues to enable the paradigm through its dishonest KY Derby "prep" Grade I designations, the ultimately damaging feedback loop will likely continue. The answer to the second question is closely entwined, and should be obvious. For all of his faults as a trainer, Baffert has long produced results in stakes races that lead to valuable stud careers, so owners who wish to play the breed-to-sell game consider him to be a logical choice. Of course Baffert and Zedan are hardly alone in supporting the dubious paradigm. But that a horse like Brant could bring millions at a sale, and be given to a trainer who trains very hard, and has compiled a very poor safety record, underscores the extreme degree to which the value of durability has been marginalized by the industry. One final note, and it's a genuine qualification that I always make when producing this type of post, I hope that Brant will enjoy a long, injury-free career. But if I were a betting man...

Tinky

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