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One night after Halloween~👻🩵 SFX Editor: Shieldshroud (Commissions Open) Voice Pack: ⭐Gemini Starsign⭐🔞🎙 SFX Pack: @opennsfwsp Happy (late) Halloween! #Sadako

Chinchin 🔞COMMS OPEN

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565,020 Aufrufe • vor 11 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

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Before England. Before Britain. Before the Romans. 🌿 There was a class of people in this island who held everything in their heads. The Romans called them Druids. 🌳 They were the doctors. The lawyers. The judges. The astronomers. The philosophers. The poets. All in one. In one lifetime. They could walk between two armies about to fight and stop the battle. With a raised hand. ✋ Caesar recorded this. Strabo recorded this. Diodorus Siculus recorded this. Three independent sources. Caesar himself wrote that Britain was the origin of Druidism 🇬🇧 Training took up to twenty years. Medicine. Law. Astronomy. Philosophy. History. The size of the cosmos. ⭐ All of it memorised. Not one word written down. On the sixth day of the moon a Druid in white climbed an oak tree with a golden sickle and cut the mistletoe. Others caught it in white cloth below. It must never touch the ground. They called it the all-healing. 🌿 They believed the soul was immortal. After death it passed from one body to the next. The fear of death was cast aside. 💀 Once a year they marked the barrier between the living and the dead. October the thirty-first. 🎃 Every fire across Britain was extinguished. The Arch-Druid climbed a sacred hill in gold robes and lit a single new fire. They burned the bones of animals in it. The bone-fire. 🔥 We call it a bonfire now. People dressed as monsters to hide from the spirits of the dead. We call it Halloween. The Druids invented Halloween. 👻 In 60AD Rome came for them. Flat-bottomed boats crossed the Menai Strait. The cavalry swam alongside their horses. On the opposite shore women in black robes brandished torches. Druids with their hands raised to heaven. Screaming curses. Tacitus wrote that the Roman soldiers, hardened legionaries, were frozen with terror. 😨 They stood motionless. Shields not raised. Exposed to wounds. Their commanders had to shout at them to remember they were soldiers. They crossed. They massacred. They cut down the sacred groves. And Britain went silent. 🌑 No buildings. No inscriptions. No graves. Their temples were forest clearings. Everything we know about them comes from the people who destroyed them. And yet. 🌳 Halloween. The word bonfire. The oak groves they called sacred still stand. Be Proud Of Us. 🇬🇧 Your support goes straight into educating fellow Britons on the history they were never taught. Be part of us:

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I recently read a powerful article titled "Kyiv, the City with Dark Circles Under Its Eyes" by Ariane Chemin. It captures the emotional exhaustion, the psychological weight, and the extraordinary resilience of people in Kyiv who are forced to live under relentless Russian attacks. It paints a portrait of a city running on interrupted sleep and interrupted electricity, yet somehow still standing. Kyiv today is physically exhausted. The streets are decorated for Christmas, but the tree on Sofiiska Square feels dimmer this year. After the December 6 attacks, electricity is off for 14-17 hours a day on average. Constant air-raid alerts - sometimes lasting eight, nine, even ten hours - have become a defining feature of life. Poets like Ella Yevtushenko describe these nights as moments suspended between life and death: "Too late to fall asleep, too early to wake up... too late to die, too early to live." ▪️ Children learning to run for shelter in under 7 minutes One of the most painful parts of the article describes how the war is reshaping childhood in Kyiv. Tetiana Yermak, the director of School No. 157, says: "I see children who have no appetite, who cry when you raise your voice, who walk with their heads down and fall asleep standing up." Trained by constant alerts, her students can now pack up and evacuate to shelter in less than seven minutes. Many spend nights in metro stations or hallways, then show up to class the next morning - exhausted but present. Despite everything, absenteeism is low. Kids are trying. ▪️ An attack on the city is an attack on our body Psychologist Svitlana Roiz notes that people in Kyiv no longer say "good night." Instead, they wish each other a "quiet night," meaning a night without alerts and Russian attacks. She says: "Every attack on our city is an attack on our body." And she warns that the biggest threat is not only physical destruction, but emotional collapse. Russians, she explains, want Ukrainians to fight with each other out of exhaustion - to break internally. She calls irritability "the first marker of fatigue," and says that even her Facebook posts about psychological resilience get targeted by Russian bots: "This is also a Russian offensive: targeted strikes on the mind, just like missiles hitting energy infrastructure." That is the deepest message of the article: Russia is trying to break Ukrainians emotionally just as much as physically. To wear us down night after night, alarm after alarm, blackout after blackout. But despite everything - sleepless nights, cold apartments, damaged schools, destroyed pharmacies - Kyiv keeps going. Source: 📹: Ukraine lives

Anton Gerashchenko

32,727 Aufrufe • vor 10 Monaten

We’re very sad to share we have said goodnight to Retired Fire Investigation Dog Chester, who served with Surrey Fire & Rescue Service for 8 years. Chester travelled over Rainbow Bridge on Sunday after a short, but fatal illness. His final vets bill was just under £4,000 and the NFRSA will be assisting with that cost. His family shared his amazing story: “Chester started training with Bas (Basil) Wood and Firedog Barley in July 2016 with West Sussex Fire & Rescue Service - they later moved over to Surrey FRS. He was Bas’ third firedog since Bas became one of the first handlers in 2004 with FID Hattie. Chester was a rescued Springer who had spent the first year of life indoors. He could not believe his luck when he came to live and work with Bas, and six other working dogs for company. Together they were called out at all times of the day and night across the South East. Chester attended many open days where he drew a lot more attention than Bas. The pair also went to schools, clubs and businesses to give demonstrations and promote the service. Chester served until he and Bas retired in December 2024 - one of his last jobs was an arson at a house where two children narrowly survived. He found the source in an awkward to reach space - a successful conviction would not have happened without the evidence that he found. At home Chester was a cheeky chappie, chasing and often catching pheasants, rabbits or pigeons. He enjoyed a muddy pond and running around with his kennel mates. In retirement he was most happy to sneak onto the sofa, but still kept his paw in. As recently as Halloween he gave a demonstration to raise funds for a local charity. So farewell Chezzie Bean, a hard working, fun loving dog and loyal companion. Thank you to the NFRSA for all you do for our retired animals.” Sleep well little Chester - thank you for your service. Our thoughts and love go out to Bas, Mary and the rest of the pack - he is hugely missed. We will do all we can to support your family. 💜🐾💜🐾💜

We’re very sad to share we have said goodnight to Retired Fire Investigation Dog Chester, who served with Surrey Fire & Rescue Service for 8 years. Chester travelled over Rainbow Bridge on Sunday after a short, but fatal illness. His final vets bill was just under £4,000 and the NFRSA will be assisting with that cost. His family shared his amazing story: “Chester started training with Bas (Basil) Wood and Firedog Barley in July 2016 with West Sussex Fire & Rescue Service - they later moved over to Surrey FRS. He was Bas’ third firedog since Bas became one of the first handlers in 2004 with FID Hattie. Chester was a rescued Springer who had spent the first year of life indoors. He could not believe his luck when he came to live and work with Bas, and six other working dogs for company. Together they were called out at all times of the day and night across the South East. Chester attended many open days where he drew a lot more attention than Bas. The pair also went to schools, clubs and businesses to give demonstrations and promote the service. Chester served until he and Bas retired in December 2024 - one of his last jobs was an arson at a house where two children narrowly survived. He found the source in an awkward to reach space - a successful conviction would not have happened without the evidence that he found. At home Chester was a cheeky chappie, chasing and often catching pheasants, rabbits or pigeons. He enjoyed a muddy pond and running around with his kennel mates. In retirement he was most happy to sneak onto the sofa, but still kept his paw in. As recently as Halloween he gave a demonstration to raise funds for a local charity. So farewell Chezzie Bean, a hard working, fun loving dog and loyal companion. Thank you to the NFRSA for all you do for our retired animals.” Sleep well little Chester - thank you for your service. Our thoughts and love go out to Bas, Mary and the rest of the pack - he is hugely missed. We will do all we can to support your family. 💜🐾💜🐾💜

NFRSA

15,093 Aufrufe • vor 9 Monaten

I was the biggest skeptic of AI video editing. Until recently. So I asked one of the most talented creators I know (Anthony Dupont-Cinko) to break down exactly how AI can support the entire video process. The guy cooked. Here are the high-level notes: The tl;dr Right now AI mostly solves two genres. The video essay and the tutorial. Both have a straightforward outline, a script you stick to, and a one-shot record that AI can chop against. Other formats still lean heavily on craft. Easy Mode: research and ideas without losing your voice The gist: Use AI to find opportunities and pull source material from tools and team discourse. You still decide what is worth saying. Don't outsource final sign-off. Pro tips: - Marketplace is huge. Type YouTube and you will see VidIQ, TubeBuddy, and a pile of others. If your company shows a “request” button, go bug the admin. Do not wait on the queue. - Hook Ahrefs into Claude (and Notion) and ask something like: use the Ahrefs connector to find AI content opportunities this week, and tell me if videos already sit in the top five. - Tribal Knowledge is the other half. It is a skill that scrapes every connector he has (Slack, Notion, meetings) and surfaces real conversations around a topic so the idea comes from work talk. - Turn that into a personalized daily brief for the kind of content you make. Anthony built a content planning app with Codex. Every day it drops a brief, proposes video topics, and lets him queue the ones he likes. Notion is the shared backend so the org can see the same database without living in his app. Even on Opus, a daily brief runs about 8 cents. Hard Mode: script and first edit with AI assistants The gist: AI helps you outline and cut. You keep the words, the takes, and the judgment. Editing is not just the blade button. It is taste. If you are an editor, you have an advantage. If you have vision but not technical chops, you can still leverage these tools. Pro tips: - Create the outline as a human. Anthony still believes you should not let AI one-shot structure. His format is three columns: dialogue, visuals (what is on screen while you talk), and sound effects. - Then use the Scriptwriter skill. Point it at a topic (he demoed “what is an MCP”) and it interviews you through the whole creative process so you speak like yourself. Short-form or long. You can ramble, go out of order, contradict yourself. It sorts after. - Beat by beat it spits your words back as bullets. You react raw in the moment. Those reactions become the real script. It also prompts visuals and SFX while you talk (day-to-night, crickets, rooster) so creativity stays in the loop. Hooks are hard. You can ask it to interview you into a better hook without handing it the whole voice. *Film it yourself* - Split editing into phases. Baseline “radio cut” (dialogue paced). Then VFX / archival / B-roll. Then audio (dialogue mix, SFX, music). - Codex + Final Cut: pointed it at the footage and the script, asked for a baseline cut. First pass had half-second gaps of silence. One follow-up (“every clip is consistently half a second off”) and it produced a fluid cut with no awkward pauses, dropped straight into Final Cut. Cost: two prompts burned a big chunk of a 5-hour context window (100% down to 14%), but against weekly Codex usage (decks, research, more content) he still had about 53% left. - Codex in Final Cut won the radio cut. Descript was faster on the clock and worse on taste cleanup. God Mode: polish stack plus a measurement loop Definition: hand off the laborious extras (B-roll, motion, music, reporting). Keep the taste calls. Close the loop so you know if the work is working. Pro tips: - B-roll / archival / VFX: Anthony spun an “archival finder” agent. He gave it a vibe (internety, clicky, fun) and a reference (simple, warm, approachable using shows, TV, movies). It came back with taste. - It also downloaded clips, filed them, dropped them on the timeline, and added a paper texture background he had asked it to design. All via the Final Cut connector plus computer use. - Motion graphics: Remotion (free, open source) plus an agent. Dump everything in your head. Ask for a plan and structure first. He asked for an Apple liquid glass ultra-clean feel. Plan, approve, tweaks, then it popped into the Final Cut timeline in about 9 minutes 10 seconds. That used to be a brief to a VFX designer (timing, seconds, design, wait for turnaround). - Music and SFX: Epidemic Sound via MCP (Artlist and free-sound options exist too). Same pattern: send the URL if you need to install, give it a creator reference (he used Zoe), iterate because you are picky about music. It dropped tracks into the timeline and used Epidemic’s crop/trim so the music was cut for the edit. Mix sat under vocals instead of overpowering them. Not just music. Mouse-click SFX timed to B-roll. Full episode:

I was the biggest skeptic of AI video editing. Until recently. So I asked one of the most talented creators I know (Anthony Dupont-Cinko) to break down exactly how AI can support the entire video process. The guy cooked. Here are the high-level notes: The tl;dr Right now AI mostly solves two genres. The video essay and the tutorial. Both have a straightforward outline, a script you stick to, and a one-shot record that AI can chop against. Other formats still lean heavily on craft. Easy Mode: research and ideas without losing your voice The gist: Use AI to find opportunities and pull source material from tools and team discourse. You still decide what is worth saying. Don't outsource final sign-off. Pro tips: - Marketplace is huge. Type YouTube and you will see VidIQ, TubeBuddy, and a pile of others. If your company shows a “request” button, go bug the admin. Do not wait on the queue. - Hook Ahrefs into Claude (and Notion) and ask something like: use the Ahrefs connector to find AI content opportunities this week, and tell me if videos already sit in the top five. - Tribal Knowledge is the other half. It is a skill that scrapes every connector he has (Slack, Notion, meetings) and surfaces real conversations around a topic so the idea comes from work talk. - Turn that into a personalized daily brief for the kind of content you make. Anthony built a content planning app with Codex. Every day it drops a brief, proposes video topics, and lets him queue the ones he likes. Notion is the shared backend so the org can see the same database without living in his app. Even on Opus, a daily brief runs about 8 cents. Hard Mode: script and first edit with AI assistants The gist: AI helps you outline and cut. You keep the words, the takes, and the judgment. Editing is not just the blade button. It is taste. If you are an editor, you have an advantage. If you have vision but not technical chops, you can still leverage these tools. Pro tips: - Create the outline as a human. Anthony still believes you should not let AI one-shot structure. His format is three columns: dialogue, visuals (what is on screen while you talk), and sound effects. - Then use the Scriptwriter skill. Point it at a topic (he demoed “what is an MCP”) and it interviews you through the whole creative process so you speak like yourself. Short-form or long. You can ramble, go out of order, contradict yourself. It sorts after. - Beat by beat it spits your words back as bullets. You react raw in the moment. Those reactions become the real script. It also prompts visuals and SFX while you talk (day-to-night, crickets, rooster) so creativity stays in the loop. Hooks are hard. You can ask it to interview you into a better hook without handing it the whole voice. Film it yourself - Split editing into phases. Baseline “radio cut” (dialogue paced). Then VFX / archival / B-roll. Then audio (dialogue mix, SFX, music). - Codex + Final Cut: pointed it at the footage and the script, asked for a baseline cut. First pass had half-second gaps of silence. One follow-up (“every clip is consistently half a second off”) and it produced a fluid cut with no awkward pauses, dropped straight into Final Cut. Cost: two prompts burned a big chunk of a 5-hour context window (100% down to 14%), but against weekly Codex usage (decks, research, more content) he still had about 53% left. - Codex in Final Cut won the radio cut. Descript was faster on the clock and worse on taste cleanup. God Mode: polish stack plus a measurement loop Definition: hand off the laborious extras (B-roll, motion, music, reporting). Keep the taste calls. Close the loop so you know if the work is working. Pro tips: - B-roll / archival / VFX: Anthony spun an “archival finder” agent. He gave it a vibe (internety, clicky, fun) and a reference (simple, warm, approachable using shows, TV, movies). It came back with taste. - It also downloaded clips, filed them, dropped them on the timeline, and added a paper texture background he had asked it to design. All via the Final Cut connector plus computer use. - Motion graphics: Remotion (free, open source) plus an agent. Dump everything in your head. Ask for a plan and structure first. He asked for an Apple liquid glass ultra-clean feel. Plan, approve, tweaks, then it popped into the Final Cut timeline in about 9 minutes 10 seconds. That used to be a brief to a VFX designer (timing, seconds, design, wait for turnaround). - Music and SFX: Epidemic Sound via MCP (Artlist and free-sound options exist too). Same pattern: send the URL if you need to install, give it a creator reference (he used Zoe), iterate because you are picky about music. It dropped tracks into the timeline and used Epidemic’s crop/trim so the music was cut for the edit. Mix sat under vocals instead of overpowering them. Not just music. Mouse-click SFX timed to B-roll. Full episode:

Alex Lieberman

22,512 Aufrufe • vor 25 Tagen

‡ Might (the) Grass Ultimately Prove Greener? Golden Tempo, a two-year-old colt by Curlin, owned and bred by Phipps Stable & St. Elias Stables, LLC, recently won his debut in eye-catching style. It was a 6f. MSW race at the Fair Grounds, and he came from the clouds, as they say, to win going away. He earned a 78 Beyer figure, and a 12 on Ragozin sheets. The attached video clip begins roughly midway through the turn, with the announcer saying that "Golden Tempo has dropped back to last", but the colt actually raced at the back of the pack from just after the break. With only one race under his belt, it is a bit early to be making confident assumptions, particularly as he was both bred to be, and appears to be a later-developing physical type. But the challenge of using even scant available evidence to make projections can be both fun, and potentially useful. So let's dive in. *** Given the colt's pedigree and physical type, I would say that it would be safe to assume that he will prove better suited to longer races, though the question of whether or not he is likely to stay effectively beyond 9f. is very much open at this early stage. What interests me the most, though, are a couple of more nuanced, and possibly connected aspects of Golden Tempo's debut, and what they may imply when filtered through the lens of his pedigree and physical characteristics. First, does the fact that the colt rallied from last to win over 6f., a distance well short of those to which he is likely to prove better suited, necessarily imply that he is a "one-run" horse? Or will he, given more ground, and experience, prove capable of displaying good tactical speed? I would note that when inexperienced horses fail to break alertly, and/or take some time to get their feet under them after the break, some, like Golden Tempo, lag back for a few furlongs before mounting a late run, while others show some, if not a burst of speed, earlier in the running. I think it's fair to say that broadly speaking, the former are more likely to prove to be one-run types than the latter. While that is far from sufficient evidence to confidently assume that Golden Tempo will necessarily turn out to be a one-run horse, it does at least hint in that direction. Another, even more nuanced hint, is his action. When I first watched the replay of the race, my initial thought was that the colt was finishing like a typical one-run horse. What do I mean by that? The best way to explain it is to say that he appears, in a sense, to be pulling with his forelegs, more than pushing from behind. The distinction is subtle, so bear with me. Dirt surfaces are, albeit to differing degrees, "break-away" surfaces. Think of what it is like when you run on a beach over loose sand, as opposed to concrete, or a running track. Some horses handle dirt surfaces well, while others don't, and there are several variables that contribute to such preferences. Pedigree is, of course, a primary consideration, but often the more important variables are conformation, physical type, and action. In the U.S., dirt horses are often, though not always, more heavily muscled than those best suited to turf. I'd suggest that one of the more likely reasons is that speed is such an important quality in American dirt racing, and muscular horses, especially through the hind-quarters, are typically able to accelerate more quickly. It may also be the case that strong propulsion from behind helps horses to, in a sense, power through looser surfaces. There are exceptions, of course, and plenty of them. Fierceness, to use a recent example, had a very high cruising speed, yet was not heavily muscled, nor did he have a powerful looking hind end. But every aspect of the game features exceptions, and they help to define, rather than diminish the value of pattern recognition. Beyond the "pulling" action that I mentioned above, I found the embedded photo posted by his trainer to be interesting as well. While it's not an ideal conformation shot, he does give the impression of a leggy, later-developing type, and not yet fully "furnished", despite being an early February foal. He also gives me the impression, both overall and in terms of foreleg conformation, of a horse that would likely be suited to turf racing. Now, needless to say, due to typical preferences and the incentives found in American racing, there is little, if any chance of Golden Tempo ever racing on turf, as long as he continues to perform well on dirt. But setting that aside, I dug into his pedigree in an effort to see if there were any further hints to be found. Superficially, it's easy to see why most would assume that the colt was bred to be a dirt horse. After all, his sire, Curlin, and dam-sire, Bernardini, were both dirt performers, and are best known as sires of dirt horses. His dam, Carrumba, also performed well on dirt. However, on closer inspection, I wouldn't be so confident in that thumbnail reading. Consider that Golden Tempo does not closely resemble Curlin, in part in terms of coat color. And while many would consider that to be of little importance, I would disagree, based on long experience. What I mean is that I have often found value in connecting the appearance of horses which don't closely resemble their own sires, with other genetic influences that are not too distant. And in this case, I would say that Golden Tempo reminds me more of Curlin's sire, Smart Strike, and some of his offspring. Though he only raced on dirt himself, Smart Strike got plenty of good turf horses (e.g. Champion English Channel) through a successful career at stud. As for Golden Tempo's dam, Carrumba, she has thus far produced one other foal to race, Hype House, a filly which failed to place in three starts. She was trained by Shug McGaughey, and, interestingly, all three of her starts were on turf. His second-dam, Castanet, was by El Prado (Ire). Though a versatile sire, El Prado produced top turf horses such as Artie Schiller and Kitten's Joy. Castanet was also trained by Shug McGaughey, and she only started twice. The first race was on dirt, and the second on turf, in which she placed third. Castanet produced Dancing All Night, a filly also trained by Shug McGaughey, which began her career with a number promising dirt races, before appearing to plateau, and being switched to the turf for her final two starts. That she was unplaced in both (the latter was taken off the turf) is not nearly as important, to my mind, as why Shug might have chosen to make the surface switch. Golden Tempo's third-dam, Dancinginmydreams, produced the Gr. I turf winner Dancing Forever, and several other good turf runners. So, while I wouldn't say that Golden Tempo's bottom-line screams turf, it has been more than versatile enough to consider the possibility, given other hints, or encouragements. *** Finally, there is a good chance that this analysis will ultimately prove to be purely academic, and I'd be perfectly happy to see Golden Tempo thrive on dirt, and perhaps develop into a serious KY Derby prospect. But if, by chance, he were to plateau at some point, or for any other reason be given an opportunity to try the turf, I have a fairly strong suspicion that he would adapt very well, and reward the colt's connections.

‡ Might (the) Grass Ultimately Prove Greener? Golden Tempo, a two-year-old colt by Curlin, owned and bred by Phipps Stable & St. Elias Stables, LLC, recently won his debut in eye-catching style. It was a 6f. MSW race at the Fair Grounds, and he came from the clouds, as they say, to win going away. He earned a 78 Beyer figure, and a 12 on Ragozin sheets. The attached video clip begins roughly midway through the turn, with the announcer saying that "Golden Tempo has dropped back to last", but the colt actually raced at the back of the pack from just after the break. With only one race under his belt, it is a bit early to be making confident assumptions, particularly as he was both bred to be, and appears to be a later-developing physical type. But the challenge of using even scant available evidence to make projections can be both fun, and potentially useful. So let's dive in. * Given the colt's pedigree and physical type, I would say that it would be safe to assume that he will prove better suited to longer races, though the question of whether or not he is likely to stay effectively beyond 9f. is very much open at this early stage. What interests me the most, though, are a couple of more nuanced, and possibly connected aspects of Golden Tempo's debut, and what they may imply when filtered through the lens of his pedigree and physical characteristics. First, does the fact that the colt rallied from last to win over 6f., a distance well short of those to which he is likely to prove better suited, necessarily imply that he is a "one-run" horse? Or will he, given more ground, and experience, prove capable of displaying good tactical speed? I would note that when inexperienced horses fail to break alertly, and/or take some time to get their feet under them after the break, some, like Golden Tempo, lag back for a few furlongs before mounting a late run, while others show some, if not a burst of speed, earlier in the running. I think it's fair to say that broadly speaking, the former are more likely to prove to be one-run types than the latter. While that is far from sufficient evidence to confidently assume that Golden Tempo will necessarily turn out to be a one-run horse, it does at least hint in that direction. Another, even more nuanced hint, is his action. When I first watched the replay of the race, my initial thought was that the colt was finishing like a typical one-run horse. What do I mean by that? The best way to explain it is to say that he appears, in a sense, to be pulling with his forelegs, more than pushing from behind. The distinction is subtle, so bear with me. Dirt surfaces are, albeit to differing degrees, "break-away" surfaces. Think of what it is like when you run on a beach over loose sand, as opposed to concrete, or a running track. Some horses handle dirt surfaces well, while others don't, and there are several variables that contribute to such preferences. Pedigree is, of course, a primary consideration, but often the more important variables are conformation, physical type, and action. In the U.S., dirt horses are often, though not always, more heavily muscled than those best suited to turf. I'd suggest that one of the more likely reasons is that speed is such an important quality in American dirt racing, and muscular horses, especially through the hind-quarters, are typically able to accelerate more quickly. It may also be the case that strong propulsion from behind helps horses to, in a sense, power through looser surfaces. There are exceptions, of course, and plenty of them. Fierceness, to use a recent example, had a very high cruising speed, yet was not heavily muscled, nor did he have a powerful looking hind end. But every aspect of the game features exceptions, and they help to define, rather than diminish the value of pattern recognition. Beyond the "pulling" action that I mentioned above, I found the embedded photo posted by his trainer to be interesting as well. While it's not an ideal conformation shot, he does give the impression of a leggy, later-developing type, and not yet fully "furnished", despite being an early February foal. He also gives me the impression, both overall and in terms of foreleg conformation, of a horse that would likely be suited to turf racing. Now, needless to say, due to typical preferences and the incentives found in American racing, there is little, if any chance of Golden Tempo ever racing on turf, as long as he continues to perform well on dirt. But setting that aside, I dug into his pedigree in an effort to see if there were any further hints to be found. Superficially, it's easy to see why most would assume that the colt was bred to be a dirt horse. After all, his sire, Curlin, and dam-sire, Bernardini, were both dirt performers, and are best known as sires of dirt horses. His dam, Carrumba, also performed well on dirt. However, on closer inspection, I wouldn't be so confident in that thumbnail reading. Consider that Golden Tempo does not closely resemble Curlin, in part in terms of coat color. And while many would consider that to be of little importance, I would disagree, based on long experience. What I mean is that I have often found value in connecting the appearance of horses which don't closely resemble their own sires, with other genetic influences that are not too distant. And in this case, I would say that Golden Tempo reminds me more of Curlin's sire, Smart Strike, and some of his offspring. Though he only raced on dirt himself, Smart Strike got plenty of good turf horses (e.g. Champion English Channel) through a successful career at stud. As for Golden Tempo's dam, Carrumba, she has thus far produced one other foal to race, Hype House, a filly which failed to place in three starts. She was trained by Shug McGaughey, and, interestingly, all three of her starts were on turf. His second-dam, Castanet, was by El Prado (Ire). Though a versatile sire, El Prado produced top turf horses such as Artie Schiller and Kitten's Joy. Castanet was also trained by Shug McGaughey, and she only started twice. The first race was on dirt, and the second on turf, in which she placed third. Castanet produced Dancing All Night, a filly also trained by Shug McGaughey, which began her career with a number promising dirt races, before appearing to plateau, and being switched to the turf for her final two starts. That she was unplaced in both (the latter was taken off the turf) is not nearly as important, to my mind, as why Shug might have chosen to make the surface switch. Golden Tempo's third-dam, Dancinginmydreams, produced the Gr. I turf winner Dancing Forever, and several other good turf runners. So, while I wouldn't say that Golden Tempo's bottom-line screams turf, it has been more than versatile enough to consider the possibility, given other hints, or encouragements. * Finally, there is a good chance that this analysis will ultimately prove to be purely academic, and I'd be perfectly happy to see Golden Tempo thrive on dirt, and perhaps develop into a serious KY Derby prospect. But if, by chance, he were to plateau at some point, or for any other reason be given an opportunity to try the turf, I have a fairly strong suspicion that he would adapt very well, and reward the colt's connections.

Tinky

14,325 Aufrufe • vor 9 Monaten

Dogs and wolves split apart at least 15,000 years ago. Then a golden retriever met a wolf pup, and did something his own owner says terrified him. 97 seconds. Sound on. Watch the video BEFORE you read another word. Then come back. I'll show you why this clip is stranger, and far more important, than it looks. (Long read. Bookmark it now. You'll want it later.) . I'm not going to tell you what happens in that video. Not one spoiler. Not a hint. Because the video does its own work, and it does it better than any caption I could write. What I can do is show you the invisible layer underneath it. The biology. The history. The 15,000 years of evolution that were supposed to make a moment like this impossible. When you press play, you are not watching two animals. You are watching two completely different answers to the same question, standing in the same yard. The question is: what does a creature do when it loves something it was never built to keep? Read on. Then watch again. It will hit differently the second time. I guarantee it. . PART 1. THE SPLIT Let's start with the number that should bother you. Fifteen thousand years. Possibly forty thousand. Scientists still argue about the exact date, and they argue loudly. Somewhere in that window, a population of ancient wolves, one that no longer exists anywhere on Earth, forked into two paths. One path led to the wolf you know from documentaries. Wary. Silent in the trees. Built to survive without us. The other path led to the animal sleeping on your couch. Here's what almost nobody realizes: your dog did not descend from the modern gray wolf. Both descend from a shared ancestor that vanished. Dogs and wolves are less like parent and child, more like cousins who grew up in different countries and stopped speaking the same language. And yet their DNA is almost identical. Different by a sliver. They can even interbreed and produce fertile offspring. Biologically, the gap between them is tiny. Behaviorally, the gap is an ocean. In 2017, a Princeton-led team compared the genomes of dogs and wolves and found something eerie. Dogs carry differences in a region of the genome that, in humans, is linked to Williams-Beuren syndrome. It's a condition famous for one trait above all others: extreme, almost unstoppable friendliness. Researchers are still debating what it means. But the idea is staggering. Dogs may not just be tamer wolves. They may be wolves with a dial turned all the way up on one thing: wanting to be near us. Wolves never got that dial. Hold that thought. It matters more than you think. . PART 2. THE DOG WHO WAS BUILT TO BE GENTLE Now meet the golden retriever. He wasn't found in nature. He was designed. In the mid-1800s, on a vast estate in the Scottish Highlands, a wealthy lord named Dudley Marjoribanks set out to create the perfect gundog. A dog that would swim into cold water, find a fallen bird, and bring it back to the hunter without leaving a single tooth mark on it. Read that again. The defining feature of a golden retriever is what breeders call a soft mouth. A dog that can carry something fragile, something alive or nearly alive, in its jaws, and not crush it. For generations, the goldens who were gentlest got to breed. The ones who were rough didn't. Think about what that does over 150 years. You are not just selecting for a coat color or a size. You are selecting, again and again, for restraint. For an animal that has power in its jaws and chooses not to use it. Today the golden retriever guides the blind. Sits with the dying. Finds people buried under rubble. Walks into hospital rooms and lowers a blood pressure reading just by resting its head on a bed. We took a predator and, over centuries, we bred one question out of it: should I hurt this thing? The golden's answer is almost always no. Now here's the part I can't stop thinking about. That gentleness was never aimed at a wolf. It was bred for birds. For children. For us. So what happens when an animal engineered for tenderness meets an animal that was never engineered for anything, one that is still, in every cell, exactly what the wild made it? That's the video. Go watch it if you haven't. I'll be here. . PART 3. THE ANIMAL THAT WAS NEVER ASKED A wolf pup is born blind and deaf. It weighs about a pound. For its first weeks it knows three things: warmth, milk, and the smell of the pack. Its eyes open at around two weeks, and they are blue. They will change to gold or amber within the first months of life, like a color being poured in slowly. In the wild, that pup is raised by an entire family. Mother, father, older siblings, all of them feeding, guarding, teaching. Forget the "alpha wolf" myth you were taught. The biologist who popularized that term, David Mech, spent decades correcting himself. A wild pack is not a gang with a boss. It's a family. A breeding pair and their kids. Which means a wolf pup's entire universe is built around one idea: the pack is everything. Now think about what it means when that universe collapses. Here's the hard science on why wolves aren't dogs, even when humans raise them from the earliest days. Researchers who want socialized wolves take pups from the den at around ten days old and hand-raise them around the clock. Bottle. Warmth. Constant human contact. It's the closest thing to a perfect human upbringing a wolf can get. In a famous 2003 experiment in Hungary, scientists gave hand-raised wolves and ordinary dogs an impossible puzzle: food locked in a box that couldn't be opened. The dogs did something instantly recognizable. They turned around and looked at the nearest human. Straight at the face. Help me. The wolves, raised by humans since they were days old, looked at people far less. They kept working the problem alone. Let that sink in. Same upbringing. Same people. Same room. And still: one animal looks to us for help by instinct, and the other doesn't think to. That's the dial I mentioned. It isn't something you can install with love and a bottle. It took thousands of years of living beside us. There's a legendary experiment that proves how deep this goes. In 1959, in Siberia, a geneticist named Dmitri Belyaev started breeding silver foxes. He selected for exactly one trait: tameness. Nothing else. No looks, no size, no color. Within a handful of generations, the foxes started wagging their tails. Licking hands. Whining when humans left. Then something nobody asked for started happening. Floppy ears. Curly tails. Piebald coats. Foxes that looked like puppies. Pick for friendliness alone, and a whole different animal surfaces. It took decades of careful selection to make a fox that wants us. Which brings me to the question that makes this video so unsettling. If wanting a human is a trait that takes generations to build, what happens when an animal WITHOUT it forms a bond anyway? And who is that bond really with? . PART 4. THE NOSE THAT READS THE FUTURE Before I say another word about the video, let me tell you about the most underrated superpower in the animal kingdom. You have about six million scent receptors in your nose. A dog has around three hundred million. The part of a dog's brain that processes smell is, proportionally, dozens of times larger than yours. Dogs can detect certain odors at parts per trillion. Picture spotting a teaspoon of sugar dissolved in two Olympic swimming pools. But smell isn't the interesting part. The interesting part is what a dog smells ABOUT YOU. In 2022, researchers at Queen's University Belfast collected breath and sweat samples from people before and after they did stressful math tests. Then they trained dogs to tell the samples apart. The dogs picked out the stressed samples correctly about 94 percent of the time. Your dog can smell your cortisol. Your fear. Your dread. And here's the thing. You don't have to say anything. You don't have to cry. You can hold a perfectly calm face while your body chemistry is screaming. Now add routine. Dogs are pattern-recognition machines. They know what your keys sound like, what a suitcase means, which shoes you wear when you're leaving for an hour and which shoes you wear when you're leaving for good. Neuroscientist Gregory Berns put dogs in brain scanners and found that the reward center of a dog's brain lit up most strongly for the scent of a familiar person. Not a stranger. Not another dog. The person they loved. So when I tell you a dog can KNOW something is coming before anyone speaks, I'm not being poetic. I'm describing chemistry, memory, and pattern, running in parallel, faster than you can think. There's a moment in this video where you'll understand this section in your bones. I won't tell you when it is. You'll feel it. . PART 5. THE EYES Here is a fact that rewires how you see your own dog. In 2015, a Japanese team published a study in Science that stopped a lot of people cold. They found that when a dog and its owner look into each other's eyes, both of them get a surge of oxytocin. The bonding hormone. The same one that floods a new mother when she looks at her baby. A loop. Dog looks at you, your oxytocin rises, you look back, the dog's rises. Two nervous systems tuning to each other through nothing but a stare. And here's the twist that gives me chills. The same team tried it with hand-raised wolves and their human caretakers. The loop didn't form. The wolves didn't hold the gaze the same way. The humans didn't get the same hormone hit. Something that comes naturally between a dog and a person simply wasn't there. It gets stranger. In 2019, researchers published a paper in PNAS showing that dogs have a tiny facial muscle above the inner corner of the eyes that wolves essentially lack. It's the muscle that lifts the inner eyebrow. It's what creates the "puppy eyes" look that makes you feel something you can't argue with. A muscle. Evolved, apparently, for one audience: us. Shelter research backs it up. Dogs that make that expression more often tend to get adopted faster. Dogs learned to speak human with their faces. So eye contact, for a dog, is not a small thing. It's the deepest sentence in the language they invented for us. Which is why, when you watch this video, I want you to pay attention to something most people miss the first time. Watch the eyes. Watch who looks at whom. Watch who doesn't. Because in the dog's language, refusing to look at someone you love is one of the loudest things you can say. . PART 6. THE BOWL Ask any dog behaviorist what the ultimate test of trust between two canines is, and you'll hear the same word. Food. Resource guarding is one of the oldest, most primal instincts a dog has. Food is survival. A dog that doesn't defend its meal was, for most of history, a dog that didn't make it. Growls over a bone are not rudeness. They are ancient math. So the bowl is sacred. In a home with two dogs, watch who eats first, who eats faster, who stands too close, who gets a warning stare. A shared bowl between two animals is a peace treaty signed in kibble. Some dogs will happily share toys, beds, even the couch, and still lock up the moment a bowl hits the floor. Some never share it. Not once. Not with anyone. Now put a wolf pup in that picture. A wolf pup that has known real hunger. Or no mother at all. Or no pack. That's an animal for whom food is not a snack. It's a verdict on whether the world is safe. And put a dog who has never, ever shared his food in that same room. I'm not going to tell you what happens next. But when you get to that moment in the video, and you will know it when you see it, remember this section. Remember what the bowl means. . Pause for a second, because a pattern is forming. Smell tells a dog what's coming. Eyes tell him who matters. The bowl tells him who's safe. Play tells him who's family. Four separate systems, one conclusion, and it's the same conclusion every time. You now know how to read the language. All that's left is to watch someone speak it, with everything on the line. . PART 7. THE GRIEF NOBODY BELIEVED IN For most of the twentieth century, serious scientists were warned not to say that animals feel grief. The word for the sin was anthropomorphism. Projecting human feelings onto beasts. You could lose credibility for even suggesting it. And then the data started rolling in. In 1925, a Tokyo professor named Hidesaburo Ueno died suddenly at work. His Akita, Hachiko, who had walked him to Shibuya Station every morning and met him at the platform every evening, showed up at the station the next day. And the next. For nine years, nine months, and fifteen days. Every single evening. Until his own death in 1935. The Japanese made a statue. The world made movies. But the scientists stayed cautious. One dog. Could be habit. Then in 2022, a team in Italy studied hundreds of multi-dog households where one dog had died. Owners reported that the surviving dogs changed. They sought more attention. They played less. They were less active. Many showed sleep and appetite changes. Not proof of grief exactly as we feel it. Scientists are still honest about that gap. But proof that the loss of a companion reshapes a dog's whole behavior. Here's the honest version, and I'll give you both sides: skeptics say we can't know what a dog feels inside. That's fair. We can't. We can only observe behavior, hormones, brain activity. But if a dog changes when a friend disappears, then that friend was never "just another animal" to him. Which raises the question the video quietly asks: What happens when a dog can see the loss coming? Not after. Before. Does the grief start early? Watch and decide for yourself. . PART 8. PLAY IS A CONTRACT Every canine on Earth speaks one shared language of play, and it's older than domestication itself. It starts with a bow. Front legs down, rear end up, tail high. The famous play bow. Researchers, especially the biologist Marc Bekoff, spent years studying it and found that it works like a punctuation mark. It means: everything I do after this is a game. If I bite, it's not a real bite. If I pounce, it's not an attack. It's a contract. And here's the wild part: wolves use it. Foxes use it. Coyotes use it. Dogs use it. The signal predates the split I told you about in Part 1. Which means a dog and a wolf can meet, with 15,000 years of divergence between them, and still understand each other's opening move. It gets deeper. Play is a negotiation between unequals. A big dog playing with a smaller one will often hold back. Roll over. Let the little one "win." Researchers call it self-handicapping. It's the animal version of a father lifting his daughter onto his shoulders and letting her win the race. And they role-reverse. The chaser becomes the chased. The one on top ends up underneath. That only happens if both animals believe the other is safe. Play, in the animal kingdom, is the most honest test of trust there is. Nobody can fake it. You can't roleplay tenderness with a body that has fangs. You either mean it, or the game collapses in seconds. And it changes as the years go on. Puppies play like puppies. Then they grow. Their size changes. Their strength changes. Their jaws change. The game has to change with them, or it ends. Some friendships don't survive that. Some survive by getting more careful, more precise, more competitive, and somehow more loving at the same time. The end of this video is a masterclass in that. I'll leave it there. . PART 9. THE HARDEST KIND OF LOVE Now the uncomfortable part. The part the internet often skips. Wolves are not pets. Say it out loud and it sounds obvious. But every year, people fall in love with the idea of a wolf, and every year the story ends badly for the animal. A wolf is built to cover up to thirty miles in a day. To live in a family of its own kind. To communicate with howls that carry for miles. Its jaws, its instincts, its stress responses, its needs are those of a wild animal. A house cannot hold that. A backyard cannot hold that. Love, however genuine, is not a substitute for what a wolf actually needs. And here's the tragic loop wildlife rescuers talk about: an orphaned wolf pup that grows up around humans is often too habituated to ever be released. It didn't learn what its mother would have taught it. It doesn't fear what it should fear. So the "rescue" can't end in the forest. It has to end somewhere in between. Somewhere that isn't the wild and isn't a living room. A place built for what this animal is. That's where the real story lives. Not in the rescue. In the decision after. Because the hardest thing in the world isn't loving something. It's loving something enough to hand it to the people who can give it the life it needs, and then living with the hole that leaves. People get torn apart over decisions like that. Not because they didn't love the animal. Because they did. Sometimes the most loving act looks exactly like loss. And here is what stopped me. The human in this story wasn't the only one who understood that. Somebody else in that story understood it too. Somebody with four legs and no ability to speak. I won't say who. I won't say how. Just watch. . PART 10. WHY YOUR CHEST TIGHTENS Have you noticed something strange about videos like this? They don't make you sad exactly. They make you feel something warmer. A tightness in the chest. Goosebumps on your arms. Sometimes a sudden hot wetness at the corners of your eyes, and you don't know why. Psychologists have a name for it now. Kama muta. It's Sanskrit for "moved by love." The researcher who helped define it, Alan Fiske, argues that it's triggered by one specific thing: the sudden intensification of a bond. A reunion. A reconciliation. A loyalty proven under pressure. A stranger becoming family. That moment when two beings who could have stayed apart choose each other anyway. Across cultures and languages, the physical signature keeps showing up: chills, tears, warmth in the chest, a lump in the throat. It isn't sadness. It isn't happiness. It's the feeling of witnessing connection get stronger. Another psychologist, Jonathan Haidt, calls a cousin of it moral elevation. That warm lift you feel when you watch someone do something unexpectedly good. It makes you want to be better. Kinder. It literally makes people more likely to help others afterward. So why do animals trigger it so powerfully? Because animals strip out everything we distrust in human stories. No agenda. No performance. No PR. No "what's in it for me." A dog can't fake loyalty for likes. A wolf can't pretend to love you for status. When two animals from opposite ends of evolution choose each other, we're watching the purest version of the thing we hunger for in our own lives, in a form we can trust. That's why you'll feel it. That's why you'll want to show it to someone right after. And that's why the algorithm will keep showing it to you. . PART 11. SIXTEEN FACTS THAT WILL CHANGE HOW YOU SEE THIS CLIP FACT 1. For every wild wolf on Earth, there are thousands of dogs. One branch of the family tree took over the planet by befriending us. The other stayed wild and stayed rare. FACT 2. Wolf pups are born with blue eyes. Adult wolves usually have gold or amber. Nobody sees the change happen. It just does. FACT 3. Wolves rarely bark. Barking is mostly a dog invention, and one theory says it evolved largely to talk to humans. FACT 4. A dog's tail wag isn't just "happy." Research suggests a wag skewed to the right side tends to signal approach and comfort, and one skewed to the left signals hesitation or stress. A dog is broadcasting its mood in code, and you were never taught to read it. FACT 5. Dogs catch human yawns. Wolves catch yawns from each other, and more so from the ones they're closest to. Contagious yawning tracks emotional closeness, not just habit. FACT 6. A wolf can eat up to twenty pounds of meat in one sitting. Then not eat properly for days. Feast and famine is written into its body. FACT 7. In a dog's brain, praise only lights up the reward center when BOTH the words and the tone are right. Say "good boy" in a flat voice and it doesn't fully land. Dogs process what you say and how you say it separately, then combine them. FACT 8. A wild wolf lives roughly six to eight years. A golden retriever lives ten to twelve. One of them is built for hardship. The other is built for company. FACT 9. Dogs combine faces and voices to read emotion. In one study, dogs shown two human faces while hearing a voice looked longer at the face whose emotion matched the sound. FACT 10. A border collie named Chaser learned the names of more than 1,000 toys, and could pick out a brand-new one by pure elimination. That's reasoning, not tricks. FACT 11. Wolves in a wild pack are a family, not an army. The pups eat, the parents hunt, the older siblings babysit. The word "alpha" mostly belongs to captive wolves forced together, not wild ones. FACT 12. A dog's nose print is as unique as a human fingerprint. So is its bond with you. FACT 13. Dogs hear frequencies far above what you can, up to roughly 45,000 Hz and beyond. The world around you is full of sound they can't stop noticing. FACT 14. A wolf's paw print can be nearly five inches long. Bigger than most dogs' prints. Yet the golden retriever's heart, by any measure that matters, is not smaller. FACT 15. Dogs dream. They go through REM sleep just like you. The twitching, the tiny barks, the running paws: it's a brain replaying its day. FACT 16. The wolf is the ancestor of the dog only in the loosest sense. Both come from a wolf lineage that no longer exists. When you watch these two, you are watching an ancient family reunion between two branches that lost touch before recorded history. . PART 12. HOW TO WATCH IT (WITHOUT ME SPOILING IT) You've made it this far, which tells me one thing about you. You're not a scroller. You're a noticer. So here's how to watch this clip like someone who knows what they're looking at. FIRST WATCH. Just feel it. Don't analyze. Let the story run at its own speed. The clip is under two minutes and it doesn't waste a second. SECOND WATCH. Focus on distance. Notice how close the animals stand. How that changes. How it never quite changes the way you expect. THIRD WATCH. Focus on the dog. Only the dog. Not what he does. What he refuses to do. FOURTH WATCH. Focus on the ears and the tail. Everything a dog can't say, he says with those two things. And he says a lot. And the last five seconds? Do not skip them. Do not scroll early. Watch the final image and ask yourself one question: If this is what the two of them look like now, what did it cost to get here? . CLOSING. WHY THIS MATTERS MORE THAN A "CUTE VIDEO" Let me leave you with the thought that made me write all of this. We live in a world that constantly tells us bonds are transactional. That loyalty is naive. That people, and animals, only love you when you're useful. Then along comes a story like this, and it quietly breaks that theory. A dog engineered for gentleness. A wolf engineered by nothing but the wild. Fifteen thousand years of evolution between them, a wall of biology that says they should be strangers, or worse. And instead: a bond so strong that the humans standing around it were afraid of what it would cost. Not because anyone was in danger. Because one of them understood exactly what was at stake. That's the thing about animals. They don't need the science. They don't need Part 1 through Part 12. They don't know about oxytocin loops or kama muta or play bows. They just know who matters. And they act on it, immediately, with everything they've got. Maybe that's the real reason this kind of video travels the way it does. Not because it's cute. Because it reminds us of a level of loyalty we've quietly stopped expecting from each other. So do these three things. ONE. Go watch the video. All 97 seconds. Sound on. TWO. Come back and reply with the exact moment you felt it. I want the second, the caption, the look. Tell me where it got you. THREE. Send it to one person who needs to see what love looks like when nobody is performing it. You know who. Repost this if the video moved you. Follow me for more stories where science and animals collide. And remember the question from the top of this post, because now you can answer it. What does a creature do when it loves something it was never built to keep? If you watched carefully, you already know. If you didn't, go back. The answer is in the last frame.

Earth Unveiled

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