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🍷 recreate yvannabrooke’s (ig) shimmery, glowing look using the “like fine wine” set the like fine wine set includes: ✩ dreamglow highlight serum in “goddess” ✩ eclipse blush + lip stick in “cab-eret” ✩ essential drip glossy balm in “cherry cola” ✩ lustrous liquid eyeshadow in “ufo” ✩ practically... show more

r.e.m. beauty

276,751 subscribers

18,904 次观看 • 1 年前 •via X (Twitter)

音乐健康养生艺术

Anya Rossi• Live Now

Private livecam show

5 条评论

🖤🦋✨️ Cassiopeia ✨️🦋🖤 的头像

🖤🦋✨️ Cassiopeia ✨️🦋🖤1 年前

Wait is she using the highlight serum as a primer/base?! Ok I might have to try this

Levona Scent 的头像

Levona Scent2 年前

Elevate your space with Levona Scent's enchanting diffusers and essential oils! 🌿✨ Transform any room into a haven of tranquility. 💆‍♀️ Explore whisper-quiet technology and premium scents. Shop now for a sensory journey! 🛍️✨ #LevonaScent #Aromatherapy #HomeWellness #essentialoil

ava 的头像

ava1 年前

gorgeous

☀️ 的头像

☀️1 年前

@TeamAriana What brush is that?

steven ☀️ 的头像

steven ☀️1 年前

@TeamAriana She looks gorgeous!

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it’s the last day for 20% off! which lip combo is your favorite? ✩ lip stain marker in booked n busy + cherry cola glossy balm ✩lip stain marker in full out + shirley glossy balm ✩lip stain marker in miss berry + juice box glossy balm

it’s the last day for 20% off! which lip combo is your favorite? ✩ lip stain marker in booked n busy + cherry cola glossy balm ✩lip stain marker in full out + shirley glossy balm ✩lip stain marker in miss berry + juice box glossy balm

r.e.m. beauty

13,527 次观看 • 7 个月前

never enough lip combos ♡ hannah wears: ☆ glossy balm in cotton candy ☆ lip liner in lyrics with glossy balm in skinny dripped ☆ lip stain marker in booked n busy + glossy balm in cherry cola shop up to 30% off select products on now through march 24th ♡

never enough lip combos ♡ hannah wears: ☆ glossy balm in cotton candy ☆ lip liner in lyrics with glossy balm in skinny dripped ☆ lip stain marker in booked n busy + glossy balm in cherry cola shop up to 30% off select products on now through march 24th ♡

r.e.m. beauty

13,308 次观看 • 5 个月前

looking back on one of our favorite music video looks ♡ 🐈‍⬛ makeup by ari ˚。⋆ featuring our ✩ sweetener foundation ✩ sweetener concealer ✩ hypernova satin matte bronzer ✩ midnight shadows eyeshadow palette in “midnight snack” + “babydoll” ✩ flourishing lengthening mascara ✩ “eternally meowing” dream lashes ✩ at the borderline eyeliner marker in “midnight black” ✩ practically permanent lipstian marker in “booked n busy” ✩ on your collar plumping lip gloss in “pink razor” + “jelly sandals” ✩ essential drip glossy balm in “skinny dripped” ✩ mist thing setting spray shop the look at

looking back on one of our favorite music video looks ♡ 🐈‍⬛ makeup by ari ˚。⋆ featuring our ✩ sweetener foundation ✩ sweetener concealer ✩ hypernova satin matte bronzer ✩ midnight shadows eyeshadow palette in “midnight snack” + “babydoll” ✩ flourishing lengthening mascara ✩ “eternally meowing” dream lashes ✩ at the borderline eyeliner marker in “midnight black” ✩ practically permanent lipstian marker in “booked n busy” ✩ on your collar plumping lip gloss in “pink razor” + “jelly sandals” ✩ essential drip glossy balm in “skinny dripped” ✩ mist thing setting spray shop the look at

r.e.m. beauty

23,799 次观看 • 1 年前

get ready with ari for the wicked: for good, european premiere ♡ ☆ ozian forest eyeshadow palette ☆ cherry blossom blush palette ☆ sweetener foundation in light 8NW ☆ sweetener concealer light 4G ☆ flourishing lengthening mascara ☆ interstellar highlighter topper in miss mercury ☆ hypernova matte bronzer in solar storm ☆ babydoll midnight shadows eyeshadow palette ☆ practically permanent lip stain marker in booked n busy ☆ plumping gloss in pink razor Wicked: For Good only in theaters november 21st

get ready with ari for the wicked: for good, european premiere ♡ ☆ ozian forest eyeshadow palette ☆ cherry blossom blush palette ☆ sweetener foundation in light 8NW ☆ sweetener concealer light 4G ☆ flourishing lengthening mascara ☆ interstellar highlighter topper in miss mercury ☆ hypernova matte bronzer in solar storm ☆ babydoll midnight shadows eyeshadow palette ☆ practically permanent lip stain marker in booked n busy ☆ plumping gloss in pink razor Wicked: For Good only in theaters november 21st

r.e.m. beauty

36,687 次观看 • 9 个月前

forever dreaming of this tour glam ⋆ ̊。⋆ ♡ see ari’s look breakdown below: ☆ dreamglow highlight serum in quartz ☆ sweetener foundation in light 8NW ☆ sweetener concealer light 4G ☆ something new ･ﾟ｡ ☆ hypernova blush in pinking of you ☆ mélange à trois in sweet talker ☆ hypernova satin matte bronzer in solar storm ☆ miss mercury highlighter ☆ essential drip glossy balm in cosmo ☆ on your collar plumping lipgloss in fembot ☆ blur butter lip balm in dusty pink

forever dreaming of this tour glam ⋆ ̊。⋆ ♡ see ari’s look breakdown below: ☆ dreamglow highlight serum in quartz ☆ sweetener foundation in light 8NW ☆ sweetener concealer light 4G ☆ something new ･ﾟ｡ ☆ hypernova blush in pinking of you ☆ mélange à trois in sweet talker ☆ hypernova satin matte bronzer in solar storm ☆ miss mercury highlighter ☆ essential drip glossy balm in cosmo ☆ on your collar plumping lipgloss in fembot ☆ blur butter lip balm in dusty pink

r.e.m. beauty

33,521 次观看 • 1 个月前

throwback thursday ♡ ari’s love for applying our fembot liquid eyeshadow everywhere is what truly inspired our fembot capsule collection. you can now shop our most viral shade in four new expressions experience fembot in these four new formats: ✩ eclipse glow stick ✩ sweet dreams eyeshadow singlet ✩ on your collar plumping lip gloss ✩ essential drip glossy balm

throwback thursday ♡ ari’s love for applying our fembot liquid eyeshadow everywhere is what truly inspired our fembot capsule collection. you can now shop our most viral shade in four new expressions experience fembot in these four new formats: ✩ eclipse glow stick ✩ sweet dreams eyeshadow singlet ✩ on your collar plumping lip gloss ✩ essential drip glossy balm

r.e.m. beauty

32,095 次观看 • 1 年前

Kiss scene lecture from our Master of Kissing as we are waiting for his mukbang in #WhenThePhoneRings 👩‍❤️‍💋‍👨 - if actors are too into the scene when they kiss, it doesnt look so great in camera. Instead, treat the kiss scene just like action scene like its choreographed 🔥 - plan the angles ahead of time - plan the big pictures so they wont struggle and will be able to focus so it looks nicer - he personally likes to bring wine to the set, have a drink🍷 and talk💬 with the actress to set the mood Kiseu Jang-in Yoo Yeonseok, i’m looking forward to your move with soobin!

Kiss scene lecture from our Master of Kissing as we are waiting for his mukbang in #WhenThePhoneRings 👩‍❤️‍💋‍👨 - if actors are too into the scene when they kiss, it doesnt look so great in camera. Instead, treat the kiss scene just like action scene like its choreographed 🔥 - plan the angles ahead of time - plan the big pictures so they wont struggle and will be able to focus so it looks nicer - he personally likes to bring wine to the set, have a drink🍷 and talk💬 with the actress to set the mood Kiseu Jang-in Yoo Yeonseok, i’m looking forward to your move with soobin!

Dee 🍉

261,373 次观看 • 1 年前

The sharpest observers of class and status in the early and mid–20th century were left-wing intellectuals. In part, this is because they saw themselves as critics of the established order. To challenge a system, you first have to understand it. That outsider perspective often made them unusually perceptive about how status and hierarchy actually worked. A good example is Pierre Bourdieu. In his book Distinction: A Social Critique of the Judgement of Taste, he introduced the idea of “cultural capital.” Most people are familiar with economic capital, which refers to money and material resources. Bourdieu’s insight was that elites do not just accumulate wealth. They also convert it into signals of taste and status. In his time, this meant knowledge of fine wine, art, music, and travel. These were not random preferences. They functioned as markers. When someone displayed this kind of knowledge, they were quietly signaling that they belonged to an educated and refined social class, one shaped by elite institutions and social networks. Reading Bourdieu today, the parallels are hard to miss. The specific signals have changed, but the underlying logic remains. This is where the idea of “luxury beliefs” emerges. Many of these beliefs operate as a modern form of cultural capital. They signal membership in a certain class, not through taste in art or wine, but through the right opinions. Those opinions are often shaped in similar ways. People move through private schools and elite universities. They enter professional environments that reward certain viewpoints. They consume particular media and adopt the language and assumptions that circulate within those circles. Over time, their beliefs drift further from those of the broader public. What looks like a set of moral or political commitments can also function as a status signal. In that sense, the mechanism Bourdieu described has not disappeared. It has simply taken on a new form.

The sharpest observers of class and status in the early and mid–20th century were left-wing intellectuals. In part, this is because they saw themselves as critics of the established order. To challenge a system, you first have to understand it. That outsider perspective often made them unusually perceptive about how status and hierarchy actually worked. A good example is Pierre Bourdieu. In his book Distinction: A Social Critique of the Judgement of Taste, he introduced the idea of “cultural capital.” Most people are familiar with economic capital, which refers to money and material resources. Bourdieu’s insight was that elites do not just accumulate wealth. They also convert it into signals of taste and status. In his time, this meant knowledge of fine wine, art, music, and travel. These were not random preferences. They functioned as markers. When someone displayed this kind of knowledge, they were quietly signaling that they belonged to an educated and refined social class, one shaped by elite institutions and social networks. Reading Bourdieu today, the parallels are hard to miss. The specific signals have changed, but the underlying logic remains. This is where the idea of “luxury beliefs” emerges. Many of these beliefs operate as a modern form of cultural capital. They signal membership in a certain class, not through taste in art or wine, but through the right opinions. Those opinions are often shaped in similar ways. People move through private schools and elite universities. They enter professional environments that reward certain viewpoints. They consume particular media and adopt the language and assumptions that circulate within those circles. Over time, their beliefs drift further from those of the broader public. What looks like a set of moral or political commitments can also function as a status signal. In that sense, the mechanism Bourdieu described has not disappeared. It has simply taken on a new form.

Rob Henderson

25,769 次观看 • 5 个月前

Today, we enable AutoResearch in the physical world for the first time! Introducing ENPIRE: we give 8 Codex agents a fleet of robots, an allocation of GPUs, and generous token budget. We set them free with a simple goal: solve the task as quickly as possible, keep the robots busy but stay safe, don't waste precious compute. Make no mistake. Then humans step aside and our watch begins. The robot fleet starts to come alive: they learn to look for visual clues, reset the scene, practice novel skills, tinker with control stack, read papers online, debate, reflect, get stuck, and try again directly on the hardware. All we did is to give Codex an API to the world of atoms, and the rest is emergence. ENPIRE is able to solve high-precision tasks like tying zip-ties, organizing fine pins, and installing GPUs all by itself. We also discovered a new type of "physical scaling": 8 robots exploring in parallel improves significantly faster than fewer ones. A part of our NVIDIA GEAR lab now self-improves tirelessly over night. We just read the reports in the morning. /goal: we all take a holiday and Jensen wouldn't even notice ;) We will be open-sourcing everything, so you can host your self-running robot lab at home too! Deep dive in the thread:

Today, we enable AutoResearch in the physical world for the first time! Introducing ENPIRE: we give 8 Codex agents a fleet of robots, an allocation of GPUs, and generous token budget. We set them free with a simple goal: solve the task as quickly as possible, keep the robots busy but stay safe, don't waste precious compute. Make no mistake. Then humans step aside and our watch begins. The robot fleet starts to come alive: they learn to look for visual clues, reset the scene, practice novel skills, tinker with control stack, read papers online, debate, reflect, get stuck, and try again directly on the hardware. All we did is to give Codex an API to the world of atoms, and the rest is emergence. ENPIRE is able to solve high-precision tasks like tying zip-ties, organizing fine pins, and installing GPUs all by itself. We also discovered a new type of "physical scaling": 8 robots exploring in parallel improves significantly faster than fewer ones. A part of our NVIDIA GEAR lab now self-improves tirelessly over night. We just read the reports in the morning. /goal: we all take a holiday and Jensen wouldn't even notice ;) We will be open-sourcing everything, so you can host your self-running robot lab at home too! Deep dive in the thread:

Jim Fan

674,351 次观看 • 2 个月前

History is made: Fine structure mystery solved? /🧵 UPDATE: My model may have solved an outstanding question in physics: the origin of the fine structure constant. I found a robust source and it works even with some tuning within -3% to 7% over a massive range of non-linear fields. What is the fine structure constant? Watch the video below and you'll find out. Essentially its a mysterious constant that occurs in atomic and subatomic physics that has no unit. Countless people have tried to find a reason for it, and most have turned to numerology. I did something that only could work in this age of LLMs and someone who is a motivated expert in the field. Did a massive paper search, found the material in 10 minutes, aligned everything, then had it double check for me. Note that I wasn't looking for it. It occurred to me by accident when I was developing my bilinear principle of electromagnetic interaction. Within an hour, I had a value for it. My idea was simple: apply my non-linear soliton model to the electron in a way that makes my current x current interaction make sense not just at the atomic level but the subatomic level. Look at E = mc^2. It's the same as E = (sqrt(m) c)(sqrt(m) c). If sqrt(m) could be scaled to a charge, then you could interpret it as two scaled currents multiplying against each other. This is almost identical to the equation for the energy contained within an inductor L with a current I running through it: E = 0.5 L I^2. So far, sketchy right? Here's the thing, vortexes are solitons and they can exist in superfluids -- they even have quantised "Noether charge". They acquire a mass from their vorticity, have an energy associated with them and can move at any speed inside the medium with a different speed. Exactly like electrons! So my idea was to map the electron exactly to these vortices. If I could predict the mass of the electron, I could actually finally connect mass to electromagentism properly (Planck's argument is elegant but indirect). I used dimensional analysis to do this. It took a few tries to get it right and I had it checked by 10 different instances of the highest powered LLMs. With this first order approximation I got within 1/4th of the mass. It was almost exactly 1/4th... so I realised, I had to use a double cover to make it like SU(2). After another half an hour of research, I felt confident in using something like Dirac's scissor to do it. A kind of knot within the electron. It got me within 1.2% of the mass of the electron... but there was a problem, the mass of the electron occurred on the other side of the equation. I cringed at myself. Such an amateur mistake, I thought. But the LLM (Opus 4.5) actually corrected me and told me I had just accidentally derived the fine structure constant. Why? Because the mass terms cancelled out, or if one prefers, leave behind a correction ratio. Set that correction ratio and you get a function that implicitly defines the fine structure constant through two "parameters": 1. The actual geometry of the soliton/vortex. 2. The non-linearity of the medium and how it changed the vortex core. I went back and found an equation from friggin' Lord Kelvin, derived in the Victorian era. I then found an analysis from 1970 on the Non-linear Schrodinger Equation (NLSE) applied to exactly this domain but for a larger scale soliton in superfluids -- it didn't matter though because a superfluid and the medium of space are scale free as I had proven in the superconduction part of my paper. In any case plugging these two approximation in got me within 1.2% of the fine structure constant by solving the following implicit equation: 1 = 8 * pi * alpha (Log_e(8/alpha) - alpha_core) Where alpha_core is 1.615 in the NLSE. The most incredible thing? It was a ROBUST value for thin ring vortices. Even if you adjusted the alpha_core from 1.5-2, the values for the fine structure constant only changed between -3% to +7%. I cannot emphasise how incredible this result is -- it means that the actual non-linear equation and the other candidate geometries that reproduce SU(2) can actually get the exact value of the fine structure constant. I don't know of anyone who even approached this problem in this way without making ansatz or postulates. I'm still checking through the math in disbelief. If it's wrong it's going to be beautifully wrong. All LLMs I've ran it through agree with the math, just not the foundations which is expected due to their QED bias. This will be in chapter 11 of my paper. I've already sketched out the full derivation. This SIGNIFICANTLY strengthens an already game changing paper. I promise it'll be the last discovery I include and thank you for your patience. I wrote this full update out because of the significance of this development. Details will be in the paper, even if there was a mistake (it'll be shuffled on its own into the appendix -- but I really hope it all checks out). 💝🥰 /End

History is made: Fine structure mystery solved? /🧵 UPDATE: My model may have solved an outstanding question in physics: the origin of the fine structure constant. I found a robust source and it works even with some tuning within -3% to 7% over a massive range of non-linear fields. What is the fine structure constant? Watch the video below and you'll find out. Essentially its a mysterious constant that occurs in atomic and subatomic physics that has no unit. Countless people have tried to find a reason for it, and most have turned to numerology. I did something that only could work in this age of LLMs and someone who is a motivated expert in the field. Did a massive paper search, found the material in 10 minutes, aligned everything, then had it double check for me. Note that I wasn't looking for it. It occurred to me by accident when I was developing my bilinear principle of electromagnetic interaction. Within an hour, I had a value for it. My idea was simple: apply my non-linear soliton model to the electron in a way that makes my current x current interaction make sense not just at the atomic level but the subatomic level. Look at E = mc^2. It's the same as E = (sqrt(m) c)(sqrt(m) c). If sqrt(m) could be scaled to a charge, then you could interpret it as two scaled currents multiplying against each other. This is almost identical to the equation for the energy contained within an inductor L with a current I running through it: E = 0.5 L I^2. So far, sketchy right? Here's the thing, vortexes are solitons and they can exist in superfluids -- they even have quantised "Noether charge". They acquire a mass from their vorticity, have an energy associated with them and can move at any speed inside the medium with a different speed. Exactly like electrons! So my idea was to map the electron exactly to these vortices. If I could predict the mass of the electron, I could actually finally connect mass to electromagentism properly (Planck's argument is elegant but indirect). I used dimensional analysis to do this. It took a few tries to get it right and I had it checked by 10 different instances of the highest powered LLMs. With this first order approximation I got within 1/4th of the mass. It was almost exactly 1/4th... so I realised, I had to use a double cover to make it like SU(2). After another half an hour of research, I felt confident in using something like Dirac's scissor to do it. A kind of knot within the electron. It got me within 1.2% of the mass of the electron... but there was a problem, the mass of the electron occurred on the other side of the equation. I cringed at myself. Such an amateur mistake, I thought. But the LLM (Opus 4.5) actually corrected me and told me I had just accidentally derived the fine structure constant. Why? Because the mass terms cancelled out, or if one prefers, leave behind a correction ratio. Set that correction ratio and you get a function that implicitly defines the fine structure constant through two "parameters": 1. The actual geometry of the soliton/vortex. 2. The non-linearity of the medium and how it changed the vortex core. I went back and found an equation from friggin' Lord Kelvin, derived in the Victorian era. I then found an analysis from 1970 on the Non-linear Schrodinger Equation (NLSE) applied to exactly this domain but for a larger scale soliton in superfluids -- it didn't matter though because a superfluid and the medium of space are scale free as I had proven in the superconduction part of my paper. In any case plugging these two approximation in got me within 1.2% of the fine structure constant by solving the following implicit equation: 1 = 8 * pi * alpha (Log_e(8/alpha) - alpha_core) Where alpha_core is 1.615 in the NLSE. The most incredible thing? It was a ROBUST value for thin ring vortices. Even if you adjusted the alpha_core from 1.5-2, the values for the fine structure constant only changed between -3% to +7%. I cannot emphasise how incredible this result is -- it means that the actual non-linear equation and the other candidate geometries that reproduce SU(2) can actually get the exact value of the fine structure constant. I don't know of anyone who even approached this problem in this way without making ansatz or postulates. I'm still checking through the math in disbelief. If it's wrong it's going to be beautifully wrong. All LLMs I've ran it through agree with the math, just not the foundations which is expected due to their QED bias. This will be in chapter 11 of my paper. I've already sketched out the full derivation. This SIGNIFICANTLY strengthens an already game changing paper. I promise it'll be the last discovery I include and thank you for your patience. I wrote this full update out because of the significance of this development. Details will be in the paper, even if there was a mistake (it'll be shuffled on its own into the appendix -- but I really hope it all checks out). 💝🥰 /End

Korobochka (コロボ) 🇦🇺✝️🇷🇺

47,180 次观看 • 8 个月前

🇯🇵 Lexus LFA V10 1 of 500 in total - 64 with the Nurburgring Package. 202 Mph 0-60 3.7 secs 4.8L V10 1,480 kg 550 Bhp approximately The Lexus LFA is widely considered one of the greatest engineering feats in automotive history, often described as a "labor of love" by Toyota that famously lost the company money on every unit sold. Development began in the early 2000s under the codename TXS. The goal wasn't just speed, but the ultimate sensory driving experience. The Engine (1LR-GUE) Co-developed with Yamaha, the 4.8L V10 is legendary for its sound—often called the "Roar of an Angel." It was designed to mimic the high-pitched scream of Formula 1 cars. The "Digital" Requirement The engine could rev from idle to its 9,000 RPM redline in just 0.6 seconds. This was so fast that a traditional analog needle couldn't keep up, forcing Lexus to use a digital tachometer. Carbon Fiber Construction Mid-way through development, Lexus decided the aluminum chassis was too heavy. They scrapped years of work and switched to Carbon Fiber Reinforced Polymer (CFRP), which they manufactured in-house. Nürburgring Package 10 hp power bump. A fixed carbon fiber rear wing and larger front spoiler. Recalibrated suspension and stickier tires. It set a then-record lap time for production cars at the Nordschleife: 7mins 14.64 secs. While criticized at launch for its £345,000 price tag and dated single-clutch sequential gearbox, the LFA’s reputation has aged like fine wine. Jeremy Clarkson famously called it "the best car I’ve ever driven." Now prices can fetch three times the original retail price. Enjoy this unbelievable sound 🔥 🎥 Lexus 👏🏻👏🏻 #cars #v10 #carporn #japan

🇯🇵 Lexus LFA V10 1 of 500 in total - 64 with the Nurburgring Package. 202 Mph 0-60 3.7 secs 4.8L V10 1,480 kg 550 Bhp approximately The Lexus LFA is widely considered one of the greatest engineering feats in automotive history, often described as a "labor of love" by Toyota that famously lost the company money on every unit sold. Development began in the early 2000s under the codename TXS. The goal wasn't just speed, but the ultimate sensory driving experience. The Engine (1LR-GUE) Co-developed with Yamaha, the 4.8L V10 is legendary for its sound—often called the "Roar of an Angel." It was designed to mimic the high-pitched scream of Formula 1 cars. The "Digital" Requirement The engine could rev from idle to its 9,000 RPM redline in just 0.6 seconds. This was so fast that a traditional analog needle couldn't keep up, forcing Lexus to use a digital tachometer. Carbon Fiber Construction Mid-way through development, Lexus decided the aluminum chassis was too heavy. They scrapped years of work and switched to Carbon Fiber Reinforced Polymer (CFRP), which they manufactured in-house. Nürburgring Package 10 hp power bump. A fixed carbon fiber rear wing and larger front spoiler. Recalibrated suspension and stickier tires. It set a then-record lap time for production cars at the Nordschleife: 7mins 14.64 secs. While criticized at launch for its £345,000 price tag and dated single-clutch sequential gearbox, the LFA’s reputation has aged like fine wine. Jeremy Clarkson famously called it "the best car I’ve ever driven." Now prices can fetch three times the original retail price. Enjoy this unbelievable sound 🔥 🎥 Lexus 👏🏻👏🏻 #cars #v10 #carporn #japan

WRCPAST

17,792 次观看 • 3 个月前

James Stewart on what makes a great film performance: In a 1972 BBC interview, the legendary actor was asked how he approaches biographical roles like Glenn Miller and Charles Lindbergh. His answer revealed a philosophy he'd developed over decades in Hollywood. "You have to make a thing believable without using the device of acting. And that doesn't make any sense at all." But then he explained what he meant: "Over the years, I've developed a theory. I'm getting to believe that in films, what everybody is striving for is to produce moments. Not a performance, not a characterization, not something that you get into the part and it's you. You produce moments that create a feeling of believability to what you're doing." Stewart admitted these moments aren't guaranteed. "Sometimes it doesn't go, nothing happens." To illustrate, he shared a story about director Billy Wilder, who was famous for shooting take after take. In one important scene, Wilder had already done 30 takes when one of the actors finally asked what they were doing wrong. Wilder's response: "No, you're doing it fine. I'm just waiting for something to happen." That, Stewart said, is what creating moments looks like in practice. You can't force it. You set the conditions and wait. He then offered a second piece of evidence for his theory, drawn from his interactions with fans over the years: "People will come up to me and say, 'Boy, I like that picture you did.' Now they won't remember the name of the picture. They won't remember where they saw it. They won't remember who was in it or who directed it. But they said, 'You know, that picture. You were in this room and you were some kind of a lawyer or something and this fellow was over there and he turned to you and he said (and I forget what he said) but you looked at him and boy, that look, that was some look.'" The plot fades. The credits fade. But the moment stays. And Stewart admitted he often agreed with them: "A great many times you remember that moment too. And you thought it was pretty good."

James Stewart on what makes a great film performance: In a 1972 BBC interview, the legendary actor was asked how he approaches biographical roles like Glenn Miller and Charles Lindbergh. His answer revealed a philosophy he'd developed over decades in Hollywood. "You have to make a thing believable without using the device of acting. And that doesn't make any sense at all." But then he explained what he meant: "Over the years, I've developed a theory. I'm getting to believe that in films, what everybody is striving for is to produce moments. Not a performance, not a characterization, not something that you get into the part and it's you. You produce moments that create a feeling of believability to what you're doing." Stewart admitted these moments aren't guaranteed. "Sometimes it doesn't go, nothing happens." To illustrate, he shared a story about director Billy Wilder, who was famous for shooting take after take. In one important scene, Wilder had already done 30 takes when one of the actors finally asked what they were doing wrong. Wilder's response: "No, you're doing it fine. I'm just waiting for something to happen." That, Stewart said, is what creating moments looks like in practice. You can't force it. You set the conditions and wait. He then offered a second piece of evidence for his theory, drawn from his interactions with fans over the years: "People will come up to me and say, 'Boy, I like that picture you did.' Now they won't remember the name of the picture. They won't remember where they saw it. They won't remember who was in it or who directed it. But they said, 'You know, that picture. You were in this room and you were some kind of a lawyer or something and this fellow was over there and he turned to you and he said (and I forget what he said) but you looked at him and boy, that look, that was some look.'" The plot fades. The credits fade. But the moment stays. And Stewart admitted he often agreed with them: "A great many times you remember that moment too. And you thought it was pretty good."

History Nerd

47,622 次观看 • 3 个月前

2nd Annual Steak Photo Contest The Biggest Steak Contest on X! Hundreds of dollars in prizes from Ancient Health & Healings, Aupa, Baja Gold Salt Company, Heifer Hog + Hen, Independence Ark Farm, and Mason Jelly Gelatin. Reply 👇 with a photo or video of a steak you personally cooked. All submissions must be original. Limit 1 entry per person. Deadline for submissions is Sunday 1/21 at midnight EST. Cary Kelly and New Dawn 🥩 will determine the winners. Prizes Include 🏆 Ancient Health & Healings Shower Bundle * Tallow Shampoo Bar * Tallow Soap Bar * Hair Protection Serum * Aluminum Free Natural Deodorant * Lip Balm * Whipped Tallow Balm Skin Moisturizer Ancient Health and Healings Aupa Grass-Fed Meat-Based Snack Bars + Apparel * Apex Bar * Blueberry Almond Bar * Cranberry Pecan Bar * T-Shirt or Trucker Hat AUPA! 🥩 Baja Gold Mineral Starter Kit * Fine Grind Sea Salt - 5 lb bag * Adjustable Grinder - 8 oz * Grinder Refill - 2 lb * Liquid Ocean Minerals - 4 oz tincture * Ocean Mineral Soak Unscented - 2 lb * Ocean Mineral Soak Lavender - 2 lb bajagoldsaltco Heifer, Hog + Hen Regenerative Farm * Primal Ground Beef - prime grade ground beef that includes liver, heart & kidney organ meat! @heiferhoghen Independence Ark Grass-Fed Ozark Beef * 11+ lbs of Grass-Fed Dino Ribs! Independence Ark Farm Mason Jelly Gelatin * 6-pack grass-fed strawberry-flavored gelatin Brian McAndrew Support these independent farms and small businesses as we celebrate World Carnivore Month.

2nd Annual Steak Photo Contest The Biggest Steak Contest on X! Hundreds of dollars in prizes from Ancient Health & Healings, Aupa, Baja Gold Salt Company, Heifer Hog + Hen, Independence Ark Farm, and Mason Jelly Gelatin. Reply 👇 with a photo or video of a steak you personally cooked. All submissions must be original. Limit 1 entry per person. Deadline for submissions is Sunday 1/21 at midnight EST. Cary Kelly and New Dawn 🥩 will determine the winners. Prizes Include 🏆 Ancient Health & Healings Shower Bundle * Tallow Shampoo Bar * Tallow Soap Bar * Hair Protection Serum * Aluminum Free Natural Deodorant * Lip Balm * Whipped Tallow Balm Skin Moisturizer Ancient Health and Healings Aupa Grass-Fed Meat-Based Snack Bars + Apparel * Apex Bar * Blueberry Almond Bar * Cranberry Pecan Bar * T-Shirt or Trucker Hat AUPA! 🥩 Baja Gold Mineral Starter Kit * Fine Grind Sea Salt - 5 lb bag * Adjustable Grinder - 8 oz * Grinder Refill - 2 lb * Liquid Ocean Minerals - 4 oz tincture * Ocean Mineral Soak Unscented - 2 lb * Ocean Mineral Soak Lavender - 2 lb bajagoldsaltco Heifer, Hog + Hen Regenerative Farm * Primal Ground Beef - prime grade ground beef that includes liver, heart & kidney organ meat! @heiferhoghen Independence Ark Grass-Fed Ozark Beef * 11+ lbs of Grass-Fed Dino Ribs! Independence Ark Farm Mason Jelly Gelatin * 6-pack grass-fed strawberry-flavored gelatin Brian McAndrew Support these independent farms and small businesses as we celebrate World Carnivore Month.

Meat Head

93,093 次观看 • 2 年前

It is done! Grok has literally built something that no one else has but anyone studying space weather would want! I will be releasing it today to the world on my website for free , and as open source for anyone to tweak, add or change things as they see fit! First we managed to resurrect the old Japanese NICT magnetosphere monitoring page, getting all the original data... then, added in the SOLAR-1 Data, and the data from the BOM Australia on the Magnetopause (shell around earth that bounces around). The magnetic field lines of the magnetoSPHERE coming from the ACE and Solar-1 data, and the bouncing shell of the magnetopause from the BOM, then we added in the Schumann resonance, to give each magnetic field line from the ACE and Solar-1 data an oscillating glow that lights up according to the current Hz of the Schumann. There is an option to turn on charged particles, which will then reflect off of , or be pulled in towards (or stay neutral) to the magnetic field of both the ACE + Solar-1 field LINES and the outer shell magnetopause from the BOM!!!! This is huge! When Bz goes green one way the particles turn RED and are reflected off of Earths magnetic field like a force field.. and when Bz goes Red, the particles turn GREEN and are accepted in to Earths fields! When neutral positive you see light blue and when neutral negative the particles are grey. Simply put, you can now look at this and know just by the particle color and their direction whether Earth was accepting or denying particle absorption!!!! Nowhere in the world has anyone put anything like this together into one model. Now we have it! All of these are toggleable on and off, so each one can be viewed on or off at any time. Also added multiple types of lighting and graphics controls , so that the user can control the amount of lighting, glow, thickness of the field lines when displayed, and the amount of the flashes per second using the Schumann hz filter, as well as the amount of brightness of each flash. Can go anywhere from 7hz up to 40+hz just like the actual Schumann resolance. You can also turn on "manual control" so that you can simulate "what would happen if" solar wind went up high or if the hz rate of the Schumann were to spike what it would look like magnetically on the spherical display of the magnetic field. Finally a record option was built in to allow for recording of movies in the program, which I have uploaded here now. Not the highest quality yet, but I figure people will use screen capture programs instead of this if they're making movies (this is fine for public use as is now imo). Also added in color controls for the background (default set to black) and for the magnetic field lines which default to Red and Blue just like the old NICT Japanese site which got shut down years ago.

It is done! Grok has literally built something that no one else has but anyone studying space weather would want! I will be releasing it today to the world on my website for free , and as open source for anyone to tweak, add or change things as they see fit! First we managed to resurrect the old Japanese NICT magnetosphere monitoring page, getting all the original data... then, added in the SOLAR-1 Data, and the data from the BOM Australia on the Magnetopause (shell around earth that bounces around). The magnetic field lines of the magnetoSPHERE coming from the ACE and Solar-1 data, and the bouncing shell of the magnetopause from the BOM, then we added in the Schumann resonance, to give each magnetic field line from the ACE and Solar-1 data an oscillating glow that lights up according to the current Hz of the Schumann. There is an option to turn on charged particles, which will then reflect off of , or be pulled in towards (or stay neutral) to the magnetic field of both the ACE + Solar-1 field LINES and the outer shell magnetopause from the BOM!!!! This is huge! When Bz goes green one way the particles turn RED and are reflected off of Earths magnetic field like a force field.. and when Bz goes Red, the particles turn GREEN and are accepted in to Earths fields! When neutral positive you see light blue and when neutral negative the particles are grey. Simply put, you can now look at this and know just by the particle color and their direction whether Earth was accepting or denying particle absorption!!!! Nowhere in the world has anyone put anything like this together into one model. Now we have it! All of these are toggleable on and off, so each one can be viewed on or off at any time. Also added multiple types of lighting and graphics controls , so that the user can control the amount of lighting, glow, thickness of the field lines when displayed, and the amount of the flashes per second using the Schumann hz filter, as well as the amount of brightness of each flash. Can go anywhere from 7hz up to 40+hz just like the actual Schumann resolance. You can also turn on "manual control" so that you can simulate "what would happen if" solar wind went up high or if the hz rate of the Schumann were to spike what it would look like magnetically on the spherical display of the magnetic field. Finally a record option was built in to allow for recording of movies in the program, which I have uploaded here now. Not the highest quality yet, but I figure people will use screen capture programs instead of this if they're making movies (this is fine for public use as is now imo). Also added in color controls for the background (default set to black) and for the magnetic field lines which default to Red and Blue just like the old NICT Japanese site which got shut down years ago.

Dutchsinse

14,548 次观看 • 4 天前

My first test with the new Gemini Deep Think 3 🔥🔥🔥 Build a complete Three.js scene in a single HTML file that renders a fully 3D interior room indistinguishable from a classical oil painting hanging in a museum. The Painterly Rendering System Write custom GLSL shaders that replace all standard rendering with oil paint simulation. Every pixel must feel painted by hand. The system needs these layers working together. Brushstroke normals. Generate a procedural brushstroke normal map using layered directional noise at varying scales. Large bold strokes for walls and floors following the plane direction. Small delicate strokes for fine details like metal and glass. Circular strokes for rounded objects. The brushstrokes must catch sidelight and cast tiny shadows into their grooves exactly like real impasto paint on canvas. Paint thickness. Use parallax occlusion mapping to give highlights genuine physical thickness. Where the original painter would load their brush with white or yellow to hit a bright highlight, the paint should visibly sit above the surface. In dark shadow areas, the paint should appear thinner, letting canvas weave show through slightly. Color palette. Restrict the entire scene to a historical oil palette. Titanium white, naples yellow, yellow ochre, raw sienna, burnt sienna, burnt umber, raw umber, ivory black, vermillion used sparingly, and a muted blue-grey. No modern saturated colors. All color mixing should feel subtractive and warm. Edge treatment. No hard edges anywhere in the scene. Object silhouettes must soften and blur slightly as if the painter's brush feathered where one form meets another. Implement this as a screen-space edge-detection pass that blurs based on depth discontinuity and overlays brushstroke texture at boundaries. Canvas texture. The entire final image must have a linen canvas weave overlay rendered with its own normal map that interacts with the scene lighting. As you orbit, the canvas tooth should glint differently. This sells the illusion more than anything else. Varnish layer. Apply a post-processing pass that simulates aged oil varnish. A warm amber tint that is slightly uneven, thicker in corners and thinner in center. A subtle gloss reflection that shifts as you move the camera. Very fine craquelure, hairline crack patterns, visible only when you zoom in close. The Scene. A Dutch Golden Age Study. Model everything procedurally with no external assets. A small intimate room with rough plastered walls in thick paint, warm grey-ochre. A single tall window on the left wall. Leaded glass with thick mullions letting in one dominant shaft of warm light. The window glass should have slight imperfections like bubbles and waviness visible in the paint treatment. A heavy dark wood table positioned center-left. On the table place a brass candlestick with a half-melted candle where the wax drips are modeled and painted with naples yellow impasto highlights. A pewter plate with a half-peeled lemon, the peel curling off the edge of the plate, the exposed fruit flesh a jewel of thick yellow paint catching light. A partially unfolded letter with a broken red wax seal. A small glass of dark wine catching a single highlight. A dark velvet cloth draped from the table edge falling in heavy folds to the floor. The velvet should have that characteristic oil painting treatment where shadows go almost black and the fabric catches light in soft broken highlights. The floor is wide dark wooden planks painted with long horizontal brushstrokes. Against the back wall, barely visible in shadow, a tall wooden cabinet with a few old leather-bound books leaning against each other. A single beam of light from the window cuts diagonally across the scene illuminating floating dust motes painted as soft tiny dots of naples yellow, not CG particles. The rest of the room falls into rich warm shadow. Lighting One dominant directional light from the left simulating window light. Warm, strong, with soft VSM shadows. A very subtle fill from the right in cool blue-grey at perhaps 5% intensity. No ambient light. The shadows should be genuinely dark and warm. This is Vermeer lighting. The contrast between the luminous light-struck areas and the deep velvety shadows is what makes the painting breathe. Post-Processing Chain Render pass. Painterly edge softening pass. Canvas texture overlay pass. Varnish and aging pass. Heavy vignette like a dark gallery frame encroaching. Very subtle bloom only on the brightest impasto highlights. Film grain that mimics canvas tooth texture rather than photographic noise. Interaction OrbitControls with very slow damping at 0.02 and limited orbit range so you can look around the painting but not flip it upside down. Slow zoom. The feeling should be like leaning closer to a painting in a museum and discovering more detail. The Standard When someone opens this file and takes a screenshot, people should genuinely argue whether it is a photograph of a real oil painting or a digital render.

My first test with the new Gemini Deep Think 3 🔥🔥🔥 Build a complete Three.js scene in a single HTML file that renders a fully 3D interior room indistinguishable from a classical oil painting hanging in a museum. The Painterly Rendering System Write custom GLSL shaders that replace all standard rendering with oil paint simulation. Every pixel must feel painted by hand. The system needs these layers working together. Brushstroke normals. Generate a procedural brushstroke normal map using layered directional noise at varying scales. Large bold strokes for walls and floors following the plane direction. Small delicate strokes for fine details like metal and glass. Circular strokes for rounded objects. The brushstrokes must catch sidelight and cast tiny shadows into their grooves exactly like real impasto paint on canvas. Paint thickness. Use parallax occlusion mapping to give highlights genuine physical thickness. Where the original painter would load their brush with white or yellow to hit a bright highlight, the paint should visibly sit above the surface. In dark shadow areas, the paint should appear thinner, letting canvas weave show through slightly. Color palette. Restrict the entire scene to a historical oil palette. Titanium white, naples yellow, yellow ochre, raw sienna, burnt sienna, burnt umber, raw umber, ivory black, vermillion used sparingly, and a muted blue-grey. No modern saturated colors. All color mixing should feel subtractive and warm. Edge treatment. No hard edges anywhere in the scene. Object silhouettes must soften and blur slightly as if the painter's brush feathered where one form meets another. Implement this as a screen-space edge-detection pass that blurs based on depth discontinuity and overlays brushstroke texture at boundaries. Canvas texture. The entire final image must have a linen canvas weave overlay rendered with its own normal map that interacts with the scene lighting. As you orbit, the canvas tooth should glint differently. This sells the illusion more than anything else. Varnish layer. Apply a post-processing pass that simulates aged oil varnish. A warm amber tint that is slightly uneven, thicker in corners and thinner in center. A subtle gloss reflection that shifts as you move the camera. Very fine craquelure, hairline crack patterns, visible only when you zoom in close. The Scene. A Dutch Golden Age Study. Model everything procedurally with no external assets. A small intimate room with rough plastered walls in thick paint, warm grey-ochre. A single tall window on the left wall. Leaded glass with thick mullions letting in one dominant shaft of warm light. The window glass should have slight imperfections like bubbles and waviness visible in the paint treatment. A heavy dark wood table positioned center-left. On the table place a brass candlestick with a half-melted candle where the wax drips are modeled and painted with naples yellow impasto highlights. A pewter plate with a half-peeled lemon, the peel curling off the edge of the plate, the exposed fruit flesh a jewel of thick yellow paint catching light. A partially unfolded letter with a broken red wax seal. A small glass of dark wine catching a single highlight. A dark velvet cloth draped from the table edge falling in heavy folds to the floor. The velvet should have that characteristic oil painting treatment where shadows go almost black and the fabric catches light in soft broken highlights. The floor is wide dark wooden planks painted with long horizontal brushstrokes. Against the back wall, barely visible in shadow, a tall wooden cabinet with a few old leather-bound books leaning against each other. A single beam of light from the window cuts diagonally across the scene illuminating floating dust motes painted as soft tiny dots of naples yellow, not CG particles. The rest of the room falls into rich warm shadow. Lighting One dominant directional light from the left simulating window light. Warm, strong, with soft VSM shadows. A very subtle fill from the right in cool blue-grey at perhaps 5% intensity. No ambient light. The shadows should be genuinely dark and warm. This is Vermeer lighting. The contrast between the luminous light-struck areas and the deep velvety shadows is what makes the painting breathe. Post-Processing Chain Render pass. Painterly edge softening pass. Canvas texture overlay pass. Varnish and aging pass. Heavy vignette like a dark gallery frame encroaching. Very subtle bloom only on the brightest impasto highlights. Film grain that mimics canvas tooth texture rather than photographic noise. Interaction OrbitControls with very slow damping at 0.02 and limited orbit range so you can look around the painting but not flip it upside down. Slow zoom. The feeling should be like leaning closer to a painting in a museum and discovering more detail. The Standard When someone opens this file and takes a screenshot, people should genuinely argue whether it is a photograph of a real oil painting or a digital render.

Emily

20,940 次观看 • 6 个月前

Here’s the ICE watch training video Cam Higby 🇺🇸 found. Let’s deconstruct the first few minutes. Lead by Eric Ward, a senior fellow at the Southern Poverty Law Center, a far-left NGO with nearly a billion-dollar endowment. His academic work is in “Stochastic terrorism,” which is “using hostile public rhetoric, repeated and amplified across media and communication platforms.” Literally, his expertise is manipulating minds. He’s not an expert on peaceful protests. He’s not an operational guy. His background is in psychological warfare. Participants were told “for their safety” they must “have training,” but this training isn’t about situational awareness, first aid, or practical defense against pepper spray. It’s, in fact, teaching you how to mentally prepare to escalate violence. Let’s look at his tactic. First, a meditation session. Why? To get you “out of your brain” and in “touch with feelings.” He then explicitly tells everyone to tune out everything but their feelings. Next… the four thousand people here are being asked to confront armed federal agents. What is the natural reaction for anyone confronting armed men? Nervousness. I love the police; my father-in-law was an NYPD officer, but my heart beats faster when I’m pulled over by my local PD. He’s telling them to listen to that “heat behind the eyes, tremble in your hands,” which is fine, but then he is lying. He’s telling you to interpret that natural panic when facing authority as moral superiority and your “conscious.” Next, he has to dehumanize opponents and set the stage for “us vs. them,” but this is tricky because almost every American knows a Republican. So he says “I want to be clear who they are,” and he gets very specific so the picture of your MAGA uncle or priest doesn’t enter your mind. Then he states the obvious, which everyone (even MAGA) will agree on: “Renee Good should be alive. Alex Pretti should be alive.” I agree with that statement, but the question is who’s responsible for their deaths. IMHO, the person most responsible is Eric Ward, but of course, he’s not going to blame himself. Then he says, “The people who died at the hands of ICE snd border patrol should be alive.” What people? He doesn’t say. It’s not about the people; it’s about drawing a straight line from Renee and Alex to ICE. Then he says, “Let’s tell the truth.” Which any kindergartener knows is followed by lies, but his listeners are in a trance from the breathing exercise. Listen to the sing-song nature of how he speaks. It’s literally hypnosis. Hypnosis for the BIG whopper lie: “Federal law enforcement is not here to keep us safe.” Really, Eric? Maybe you can make an argument that some federal law enforcement isn’t here to keep us safe… but you didn’t specify. You didn’t exclude organizations like the US Coast Guard, which is federal immigration law enforcement and does keep us safe. Why? Because he needs to paint with broad strokes in case other agencies are called in. Nad now the stage is set to dehumanize: “Federal law enforcement is killing people, beating people…” And the worst lie: “Detaining people like disposable objects.” Once you are hypnotized. Once you trust your feelings over facts. Once you know those feelings make you morally superior. Once you know ICE thinks you are “disposable garbage,” then you are prepared to act with violence! Just trust your feelings and don’t look at the massive endowment the Southern Poverty Law Center has to fund physiological operatives trained in Marxist theory like Eric Ward.

Here’s the ICE watch training video Cam Higby 🇺🇸 found. Let’s deconstruct the first few minutes. Lead by Eric Ward, a senior fellow at the Southern Poverty Law Center, a far-left NGO with nearly a billion-dollar endowment. His academic work is in “Stochastic terrorism,” which is “using hostile public rhetoric, repeated and amplified across media and communication platforms.” Literally, his expertise is manipulating minds. He’s not an expert on peaceful protests. He’s not an operational guy. His background is in psychological warfare. Participants were told “for their safety” they must “have training,” but this training isn’t about situational awareness, first aid, or practical defense against pepper spray. It’s, in fact, teaching you how to mentally prepare to escalate violence. Let’s look at his tactic. First, a meditation session. Why? To get you “out of your brain” and in “touch with feelings.” He then explicitly tells everyone to tune out everything but their feelings. Next… the four thousand people here are being asked to confront armed federal agents. What is the natural reaction for anyone confronting armed men? Nervousness. I love the police; my father-in-law was an NYPD officer, but my heart beats faster when I’m pulled over by my local PD. He’s telling them to listen to that “heat behind the eyes, tremble in your hands,” which is fine, but then he is lying. He’s telling you to interpret that natural panic when facing authority as moral superiority and your “conscious.” Next, he has to dehumanize opponents and set the stage for “us vs. them,” but this is tricky because almost every American knows a Republican. So he says “I want to be clear who they are,” and he gets very specific so the picture of your MAGA uncle or priest doesn’t enter your mind. Then he states the obvious, which everyone (even MAGA) will agree on: “Renee Good should be alive. Alex Pretti should be alive.” I agree with that statement, but the question is who’s responsible for their deaths. IMHO, the person most responsible is Eric Ward, but of course, he’s not going to blame himself. Then he says, “The people who died at the hands of ICE snd border patrol should be alive.” What people? He doesn’t say. It’s not about the people; it’s about drawing a straight line from Renee and Alex to ICE. Then he says, “Let’s tell the truth.” Which any kindergartener knows is followed by lies, but his listeners are in a trance from the breathing exercise. Listen to the sing-song nature of how he speaks. It’s literally hypnosis. Hypnosis for the BIG whopper lie: “Federal law enforcement is not here to keep us safe.” Really, Eric? Maybe you can make an argument that some federal law enforcement isn’t here to keep us safe… but you didn’t specify. You didn’t exclude organizations like the US Coast Guard, which is federal immigration law enforcement and does keep us safe. Why? Because he needs to paint with broad strokes in case other agencies are called in. Nad now the stage is set to dehumanize: “Federal law enforcement is killing people, beating people…” And the worst lie: “Detaining people like disposable objects.” Once you are hypnotized. Once you trust your feelings over facts. Once you know those feelings make you morally superior. Once you know ICE thinks you are “disposable garbage,” then you are prepared to act with violence! Just trust your feelings and don’t look at the massive endowment the Southern Poverty Law Center has to fund physiological operatives trained in Marxist theory like Eric Ward.

John Ʌ Konrad V

229,826 次观看 • 6 个月前

Private credit didn't blow up because of Blue Owl or bad software loans or AI disruption. Those were SYMPTOMS. The disease is the same one I've seen 3 times in 45 years on Wall Street: Too much money, too much leverage, too little discipline, and a financial product sold as "safe" to people who didn't understand what they owned. Private credit grew to $3 trillion on a simple lie - that you could earn 9-10% yields with "semi-liquidity" on assets that have no liquid market. That's not investing. That's volatility laundering. And the Street dressed it up beautifully. "Private credit." Sounds so exclusive, so sophisticated. Illiquid loan sharking would be more accurate. And don't get me started on "private equity", another Wall Street rebrand designed to make LEVERAGED BUYOUTS sound like fine wine. They changed the name because the old one scared people. The risk didn't change. Just the marketing. Wall Street has always been brilliant at one thing: rebranding risk as exclusivity and selling it to people who don't know what they're buying. Now add oil at $113 a barrel and watch the whole thing come apart. The Strait of Hormuz is shut. The IEA is calling it the largest supply disruption in the history of the global oil market. The Fed held rates steady yesterday and the market just RIPPED AWAY expectations for even a single cut this year. Oil is the fuse. But the TNT was packed years ago. Oil above $100 means inflation stays sticky. No rate cuts. Every overleveraged borrower inside these private credit portfolios gets squeezed harder every single month. Interest coverage ratios deteriorate. Defaults tick up. Valuations get marked down. And when valuations drop, the leverage stacked on top of that leverage (the "back-leverage" that banks provide using those same loans as collateral) starts to unwind. And JPMorgan already started. They marked down software loan collateral and restricted lending to private credit funds. When the biggest bank in America pulls back, that's a SIGNAL. High-yield spreads just surged to 470 basis points. The widest in years. Credit markets are screaming what equity markets haven't fully heard yet. I've watched this exact pattern before. - Junk bonds in the '80s - Dot-com leverage in 2000 - Structured mortgage products in 2007 The product changes every time but the architecture never does: Wall Street creates something complex, sells it as safe, layers leverage on top, markets the yields to retail investors, and collects enormous fees on the way in. Then something breaks and the gates go up. The people who built the machine are fine - they already got paid. The people who bought the brochure are trapped behind locked doors. $265 billion in market cap already wiped from the major PE firms. I don't think we're close to done. And you know what? That's FANTASTIC. Perhaps we'll finally get some real price discovery. Just say no to mark to model. Holders of this fine merchandise will get the returns they deserve. The pension funds, endowments, and insurance companies that piled into this garbage should take the hit. No bailouts. NONE. This nonsense has gone on far too long and moral hazard is the predictable result. The only way to end this insanity is to let Mr. Market operate. Allow price discovery. Allow bankruptcy. No more money printing. No more crony capitalism. No more extend and pretend. Blow it all up. That is the only way. "But what about the individuals who get hurt!" Better to take the hit now and reset than continue down this road. Hyper-financialization is destroying our economy and enriching the fortunes of the few. This must stop. NOW. But I have little confidence it will. We'll get more of the same: Rule changes. Special accommodations. The inevitable big ease will come. Count on it. AND BUY GOLD

Private credit didn't blow up because of Blue Owl or bad software loans or AI disruption. Those were SYMPTOMS. The disease is the same one I've seen 3 times in 45 years on Wall Street: Too much money, too much leverage, too little discipline, and a financial product sold as "safe" to people who didn't understand what they owned. Private credit grew to $3 trillion on a simple lie - that you could earn 9-10% yields with "semi-liquidity" on assets that have no liquid market. That's not investing. That's volatility laundering. And the Street dressed it up beautifully. "Private credit." Sounds so exclusive, so sophisticated. Illiquid loan sharking would be more accurate. And don't get me started on "private equity", another Wall Street rebrand designed to make LEVERAGED BUYOUTS sound like fine wine. They changed the name because the old one scared people. The risk didn't change. Just the marketing. Wall Street has always been brilliant at one thing: rebranding risk as exclusivity and selling it to people who don't know what they're buying. Now add oil at $113 a barrel and watch the whole thing come apart. The Strait of Hormuz is shut. The IEA is calling it the largest supply disruption in the history of the global oil market. The Fed held rates steady yesterday and the market just RIPPED AWAY expectations for even a single cut this year. Oil is the fuse. But the TNT was packed years ago. Oil above $100 means inflation stays sticky. No rate cuts. Every overleveraged borrower inside these private credit portfolios gets squeezed harder every single month. Interest coverage ratios deteriorate. Defaults tick up. Valuations get marked down. And when valuations drop, the leverage stacked on top of that leverage (the "back-leverage" that banks provide using those same loans as collateral) starts to unwind. And JPMorgan already started. They marked down software loan collateral and restricted lending to private credit funds. When the biggest bank in America pulls back, that's a SIGNAL. High-yield spreads just surged to 470 basis points. The widest in years. Credit markets are screaming what equity markets haven't fully heard yet. I've watched this exact pattern before. - Junk bonds in the '80s - Dot-com leverage in 2000 - Structured mortgage products in 2007 The product changes every time but the architecture never does: Wall Street creates something complex, sells it as safe, layers leverage on top, markets the yields to retail investors, and collects enormous fees on the way in. Then something breaks and the gates go up. The people who built the machine are fine - they already got paid. The people who bought the brochure are trapped behind locked doors. $265 billion in market cap already wiped from the major PE firms. I don't think we're close to done. And you know what? That's FANTASTIC. Perhaps we'll finally get some real price discovery. Just say no to mark to model. Holders of this fine merchandise will get the returns they deserve. The pension funds, endowments, and insurance companies that piled into this garbage should take the hit. No bailouts. NONE. This nonsense has gone on far too long and moral hazard is the predictable result. The only way to end this insanity is to let Mr. Market operate. Allow price discovery. Allow bankruptcy. No more money printing. No more crony capitalism. No more extend and pretend. Blow it all up. That is the only way. "But what about the individuals who get hurt!" Better to take the hit now and reset than continue down this road. Hyper-financialization is destroying our economy and enriching the fortunes of the few. This must stop. NOW. But I have little confidence it will. We'll get more of the same: Rule changes. Special accommodations. The inevitable big ease will come. Count on it. AND BUY GOLD

George Noble

100,332 次观看 • 5 个月前

$How I created these landing pages with Gemini 3 from start to finish First, I start with the hero section. It includes the nav bar, eyebrow, headline, subheadline, cta, social proof and visual. I spend 50% of the time here because it sets the colors, typography, spacing, which AI uses for the rest of the site consistently. “Create the hero section for my {app} called {name} in the style of {reference_site}”. Pro tip: use a screenshot and you’ll get way better results. Let’s get into the details. For icons, I prompt: “Use Iconify {icon set name}”. Most people use Lucide, but there are hundreds of open-source sets on Iconify like Solar, HeroIcons, Iconoir, Phosphor, etc. Just need to mention in the prompt. Same for custom fonts. For the animation, I prompt: “Animate fade in, slide in, blur in, element by element. Use 'both' instead of 'forwards'. Don't use opacity 0.”. This creates a subtle intro animation the first time users land on your page. Gemini 3 is an excellent animator. For example, I created the beam animation with this prompt: “Add noodles that connect and beam animate into the right circle. Add subtle details to the right beam animation circle with sonar and decorations.” For background animation, I use Unicorn Studio. Remix one of their templates and watch people click on your cover like crazy. What can I say, people love lasers. In the hero or right below it, social proof is super important. You can put ratings or logos, or both. For logos, you can prompt: “Animate the logos with marquee animation looping infinitely using duplicated items and alpha mask.”. Now the CTA. AI always creates basic buttons, which is fine 99% of the time. But Gemini 3 now sets a high bar for baseline design, so you will need to stand out. That’s why I put the extra human touch on animations and lickable buttons. I suggest browsing UIVerse and Codepen for buttons and reference the code in your prompt: “Change main button {code} and secondary button {code}. Add a 1px border beam animation around the pill-shaped main button on hover.”. Once you’re happy with the hero, you’ll want to craft new sections based on your business. Features, action plan, pricing, testimonials, FAQ, CTA and footer are the popular ones. Insert a screenshot and prompt “Adapt a new section, change texts, names and numbers”. Gemini 3 is very smart. It reads your existing styles and site concept and will tastefully mold new designs to fit perfectly into your current site. Finally, repeat the same prompts for icons, buttons and animations. Use midjourney images and remix using Nano Banana Pro. Ask ChatGPT to come up with better headlines, features, ctas, etc. Don’t skip the human part, this is where you’re irreplaceable. Start prompting top-tier landing pages and watch your numbers grow.$

How I created these landing pages with Gemini 3 from start to finish First, I start with the hero section. It includes the nav bar, eyebrow, headline, subheadline, cta, social proof and visual. I spend 50% of the time here because it sets the colors, typography, spacing, which AI uses for the rest of the site consistently. “Create the hero section for my {app} called {name} in the style of {reference_site}”. Pro tip: use a screenshot and you’ll get way better results. Let’s get into the details. For icons, I prompt: “Use Iconify {icon set name}”. Most people use Lucide, but there are hundreds of open-source sets on Iconify like Solar, HeroIcons, Iconoir, Phosphor, etc. Just need to mention in the prompt. Same for custom fonts. For the animation, I prompt: “Animate fade in, slide in, blur in, element by element. Use 'both' instead of 'forwards'. Don't use opacity 0.”. This creates a subtle intro animation the first time users land on your page. Gemini 3 is an excellent animator. For example, I created the beam animation with this prompt: “Add noodles that connect and beam animate into the right circle. Add subtle details to the right beam animation circle with sonar and decorations.” For background animation, I use Unicorn Studio. Remix one of their templates and watch people click on your cover like crazy. What can I say, people love lasers. In the hero or right below it, social proof is super important. You can put ratings or logos, or both. For logos, you can prompt: “Animate the logos with marquee animation looping infinitely using duplicated items and alpha mask.”. Now the CTA. AI always creates basic buttons, which is fine 99% of the time. But Gemini 3 now sets a high bar for baseline design, so you will need to stand out. That’s why I put the extra human touch on animations and lickable buttons. I suggest browsing UIVerse and Codepen for buttons and reference the code in your prompt: “Change main button {code} and secondary button {code}. Add a 1px border beam animation around the pill-shaped main button on hover.”. Once you’re happy with the hero, you’ll want to craft new sections based on your business. Features, action plan, pricing, testimonials, FAQ, CTA and footer are the popular ones. Insert a screenshot and prompt “Adapt a new section, change texts, names and numbers”. Gemini 3 is very smart. It reads your existing styles and site concept and will tastefully mold new designs to fit perfectly into your current site. Finally, repeat the same prompts for icons, buttons and animations. Use midjourney images and remix using Nano Banana Pro. Ask ChatGPT to come up with better headlines, features, ctas, etc. Don’t skip the human part, this is where you’re irreplaceable. Start prompting top-tier landing pages and watch your numbers grow.

Meng To

287,300 次观看 • 8 个月前

New! ✨ Lex 🤝 Kit ✨ We built a new technique to train AI to write in your voice—using your Kit newsletters—that's the closest I've ever gotten AI to sound like me. 👉 > "Damn. This is really solid. Immediately obvious that it is trained on my newsletters." — Nathan Barry > "damn finally just read this and those subject lines and that example newsletter, it feels 90% nailed, super intrigued how we can build this tone of voice into the app more, feels like a total gear shift for any AI suggestions." — fred rivett 🇬🇧📈 (usually a skeptic of the "write a draft for me" approach) The way we did it is cool and (I think?) new! We all know if you go to ChatGPT or Claude and ask it to write for you, it's gonna sound like AI. Maybe you've tried uploading some examples or a style guide and still get disappointing results. Lots of AI writing apps purport to "write in your style," but they typically just generate a short summary of your style using a prompt like "Analyze the style and tone of these writing samples" and then stick it into the prompt. Maaaaybe they'll throw in a few examples. We've tried this and didn't think it was great, so we killed it. But when Nathan Barry pushed us to think about this problem again, we came up with a subtly new technique that had a big impact on the results. (The reason I'm sharing it is because our goal is to build the world's best interface for collaborating on text, and the world's best platform for saving, sharing, and running prompts. Proprietary prompting techniques are not our thing.) Instead of just asking what the "style" is (a very fuzzy question) we ask AI what patterns it can find. Specifically we ask it to look for patterns in structure and tone. Then—and this is crucial—we ask the AI to generate a detailed set of instructions that a new writer could use to consistently reproduce those patterns. We include those instructions and a bunch of examples in a prompt (often quite a large one, it's kinda expensive for us tbh). I think it works so much better than just giving examples or giving a broad overview of "style" because LLMs are trained to pay close attention to instructions and thrive on specificity. Here we ask the LLM to look for very specific patterns and generate equally specific instructions to reproduce those patterns. The other cool thing is unlike a fine-tuned model this is powered by a big-ass prompt that you can inspect and modify to your liking. Does it sound a little too enthusiastic? A bit cheesy? Just edit the prompt. Of course it's not perfect, it's still gonna need careful editing, but to us this feels like an obvious leap. I'd be really curious to hear if it feels the same to you. To start this is only available via our Kit integration but we'll start rolling it out more broadly soon. You can sign up at 👉 Would love your honest feedback!

New! ✨ Lex 🤝 Kit ✨ We built a new technique to train AI to write in your voice—using your Kit newsletters—that's the closest I've ever gotten AI to sound like me. 👉 > "Damn. This is really solid. Immediately obvious that it is trained on my newsletters." — Nathan Barry > "damn finally just read this and those subject lines and that example newsletter, it feels 90% nailed, super intrigued how we can build this tone of voice into the app more, feels like a total gear shift for any AI suggestions." — fred rivett 🇬🇧📈 (usually a skeptic of the "write a draft for me" approach) The way we did it is cool and (I think?) new! We all know if you go to ChatGPT or Claude and ask it to write for you, it's gonna sound like AI. Maybe you've tried uploading some examples or a style guide and still get disappointing results. Lots of AI writing apps purport to "write in your style," but they typically just generate a short summary of your style using a prompt like "Analyze the style and tone of these writing samples" and then stick it into the prompt. Maaaaybe they'll throw in a few examples. We've tried this and didn't think it was great, so we killed it. But when Nathan Barry pushed us to think about this problem again, we came up with a subtly new technique that had a big impact on the results. (The reason I'm sharing it is because our goal is to build the world's best interface for collaborating on text, and the world's best platform for saving, sharing, and running prompts. Proprietary prompting techniques are not our thing.) Instead of just asking what the "style" is (a very fuzzy question) we ask AI what patterns it can find. Specifically we ask it to look for patterns in structure and tone. Then—and this is crucial—we ask the AI to generate a detailed set of instructions that a new writer could use to consistently reproduce those patterns. We include those instructions and a bunch of examples in a prompt (often quite a large one, it's kinda expensive for us tbh). I think it works so much better than just giving examples or giving a broad overview of "style" because LLMs are trained to pay close attention to instructions and thrive on specificity. Here we ask the LLM to look for very specific patterns and generate equally specific instructions to reproduce those patterns. The other cool thing is unlike a fine-tuned model this is powered by a big-ass prompt that you can inspect and modify to your liking. Does it sound a little too enthusiastic? A bit cheesy? Just edit the prompt. Of course it's not perfect, it's still gonna need careful editing, but to us this feels like an obvious leap. I'd be really curious to hear if it feels the same to you. To start this is only available via our Kit integration but we'll start rolling it out more broadly soon. You can sign up at 👉 Would love your honest feedback!

Nathan Baschez

16,279 次观看 • 1 年前