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Monisha CS Ivalukku mattum intha type than ad varuthu 😋

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Monisha CS Ennada romba days ah ad onnum pannalaye nnu paathen vanthutta mallu 🤤

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The Chinese Drone Carrier: Not Just Power Projection, But a New Era in Naval Warfare The Type 076 is a Chinese Navy amphibious assault ship with a full-load displacement exceeding 40,000 tons. It combines traditional amphibious warfare features with advanced drone operations, making it the world's first to be equipped with an electromagnetic catapult (EMALS) and arresting cables for launching and recovering fixed-wing aircraft, primarily unmanned reconnaissance and combat vehicles. Its amphibious role is similar to the Type 075, but it adds a full-length flight deck, electromagnetic catapult, and arresting gear, enabling operations with heavy, long-range fixed-wing drones that couldn't take off vertically like on the Type 075. The real Chinese masterstroke is this: Catapult-launched drones provide long-range reconnaissance, real-time intelligence, and suppression of enemy defenses, while constantly searching for, tracking enemy units, and guiding missiles onto targets. All this while unload troops and equipment on beaches. Being amphibious extends its reach into true three-dimensional land operations: Helicopters handle rapid troop transport and close air support; Fixed-wing drones extend the range: surveillance beyond the horizon, strikes on distant targets, target acquisition, missile guidance, and electronic warfare; Well deck vehicles carry out the actual beach landing. The result is a perfectly coordinated assault across multiple dimensions (air, sea, land), boosting both the efficiency and survivability of the landing force, while maintaining A2/AD through a vast network of airborne drones linked to the operational missile forces. What stands out in the Chinese war machine is the precise integration of everything. There are no gaps between equipment, planning, and execution. It's all extremely well connected. This is the pioneering drone carrier, the Type 076, while the Type 075 remains a more traditional helicopter-focused amphibious assault ship. There are persistent rumors of a future Type 077 or further evolutions, but nothing confirmed yet. As I said in another article, the heart of Chinese target acquisition are drones, and they will build many of these drone carriers to expand that capability. These are far smaller investments than conventional aircraft carriers and much cheaper to produce. At the same time that China projects overwhelming power with its large ships, it is also building a cheaper fleet structure that's no less potent.

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Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

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Using Claude Code as a general agent part 3: Getting Claude Code to Ask me clarifying questions... inline, by creating a Clarifying-Questions .md file What's in this file is how the agent should format clarifying questions before doing a specific task. Rather than coming up with ALL of the context I need to give to the agent, I state what I want at the top of the docuemnt then i tell claude to ask me clarifying questions IN THE DOCUMENT. The agent knows to format them as empty code blocks and all i need to do is fill them in then tell Claude Code to finish the task at hand. Kinda niche, but I use this for EVERYTHING now: 1. State what I want at top (Ad Scripts) 2. Type out relevant context that's in my head 3. Tell the agent to ask @ clarifying-questions 4. Quickly answer them with wispr flow in the document 5. Tell Claude to continue This would be useful for nearly every workflow.

Using Claude Code as a general agent part 3: Getting Claude Code to Ask me clarifying questions... inline, by creating a Clarifying-Questions .md file What's in this file is how the agent should format clarifying questions before doing a specific task. Rather than coming up with ALL of the context I need to give to the agent, I state what I want at the top of the docuemnt then i tell claude to ask me clarifying questions IN THE DOCUMENT. The agent knows to format them as empty code blocks and all i need to do is fill them in then tell Claude Code to finish the task at hand. Kinda niche, but I use this for EVERYTHING now: 1. State what I want at top (Ad Scripts) 2. Type out relevant context that's in my head 3. Tell the agent to ask @ clarifying-questions 4. Quickly answer them with wispr flow in the document 5. Tell Claude to continue This would be useful for nearly every workflow.

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It’s AD 1444. You’re in Europe. Do you realize what’s happening right now? Constantinople is still Christian. But it has only 9 years left until it becomes Islamic Istanbul. The Ottoman Empire is pushing deeper into Europe. The Byzantine Empire is dying after more than 1,000 years. The Hundred Years’ War is still being fought between England and France. The Black Death happened within living memory, and plague still returns to European cities. The Renaissance is taking off in Italy. Florence is becoming the center of a revolution in art, architecture, and learning. Ancient Greek and Roman writings are being rediscovered and studied. Gutenberg is experimenting with movable-type printing. Within a decade, the Gutenberg Bible will be printed. For most Europeans, books are still copied by hand. Most people will never own a book. The Catholic Church dominates religious life across Western Europe. There are no Protestants. Martin Luther won’t be born for another 39 years. The Reformation is still 73 years away. Most Europeans still understand the world through a deeply Christian worldview. Latin remains the language of the Church and European scholarship. Universities already exist at Oxford, Cambridge, Paris, Bologna and elsewhere. Gunpowder is changing warfare. Cannons are making the great stone castles of the Middle Ages increasingly vulnerable. Knights in armor still ride into battle. Longbows and crossbows are still deadly weapons of war. The compass is helping European sailors venture farther from familiar coastlines. Portuguese explorers are pushing down the coast of Africa. Europeans still have no idea that the Americas exist. Columbus hasn’t even been born yet. Leonardo da Vinci hasn’t been born yet. Michelangelo hasn’t been born yet. Shakespeare is more than a century away. The printing revolution is coming. The Age of Exploration is coming. The fall of Constantinople is coming. The Reformation is coming. The medieval world is fading. The modern world is beginning to stir. And you’re standing right in the middle of it. Welcome to Europe in 1444 AD.

It’s AD 1444. You’re in Europe. Do you realize what’s happening right now? Constantinople is still Christian. But it has only 9 years left until it becomes Islamic Istanbul. The Ottoman Empire is pushing deeper into Europe. The Byzantine Empire is dying after more than 1,000 years. The Hundred Years’ War is still being fought between England and France. The Black Death happened within living memory, and plague still returns to European cities. The Renaissance is taking off in Italy. Florence is becoming the center of a revolution in art, architecture, and learning. Ancient Greek and Roman writings are being rediscovered and studied. Gutenberg is experimenting with movable-type printing. Within a decade, the Gutenberg Bible will be printed. For most Europeans, books are still copied by hand. Most people will never own a book. The Catholic Church dominates religious life across Western Europe. There are no Protestants. Martin Luther won’t be born for another 39 years. The Reformation is still 73 years away. Most Europeans still understand the world through a deeply Christian worldview. Latin remains the language of the Church and European scholarship. Universities already exist at Oxford, Cambridge, Paris, Bologna and elsewhere. Gunpowder is changing warfare. Cannons are making the great stone castles of the Middle Ages increasingly vulnerable. Knights in armor still ride into battle. Longbows and crossbows are still deadly weapons of war. The compass is helping European sailors venture farther from familiar coastlines. Portuguese explorers are pushing down the coast of Africa. Europeans still have no idea that the Americas exist. Columbus hasn’t even been born yet. Leonardo da Vinci hasn’t been born yet. Michelangelo hasn’t been born yet. Shakespeare is more than a century away. The printing revolution is coming. The Age of Exploration is coming. The fall of Constantinople is coming. The Reformation is coming. The medieval world is fading. The modern world is beginning to stir. And you’re standing right in the middle of it. Welcome to Europe in 1444 AD.

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Robotics Expert on How Robots Learn: At First Much Slower Than Humans, Then Infinitely Scalable Agility Jonathan Hurst: “I don't believe that there's a singularity. I do believe that things are going to get better and better. Think of it more like a snowball picking up steam going down a hill. But the reason that it's snowballing like this is because people are putting money, and resources, and engineering time, and engineering effort in as they explore everything and start to figure all of this stuff out. Humans, for example, we've evolved to learn. We are very good at learning, and it takes very little data to show us how to do something, and then we practice and practice, iterate. Robots are not very good at learning yet. Robots take so much more data and so many more examples than a person. We're still figuring out how to teach robots how to learn. But one of the benefits that robots have in the long run is they have Wi-Fi. When you learn how to play the violin, you can't just load that to somebody else and then they know how to play the violin based on your learnings. Robots will be able to do that. @jason: “One robot learns to play violin, all robots know how to play a violin.” Jonathan Hurst: “Or all robots of that type know how to play the violin, right? And then minor variations for the next type and the next piece of hardware.” ------------------------------ Thanks to our partners for making this possible! Most advertisers have never heard of the platform with an $11B annual run rate in ad spend. AppLovin Ads. 1B+ daily active users, full-screen video ads watched for a median of 35 seconds, and businesses are profitably spending hundreds of thousands of dollars a day on it. Now open to everyone. Sign up at If your work depends on conversations — meetings, deal flow, interviews, customer calls — Plaud helps you capture and organize everything with highly accurate AI-generated notes that are not just simple summaries, but also highlight pain points, key decisions, next steps, and customizable summary templates. Check out Plaud at and use code ALLIN for up to 10% off! Which is also available on Amazon: (Code: ALLIN10X)

Robotics Expert on How Robots Learn: At First Much Slower Than Humans, Then Infinitely Scalable Agility Jonathan Hurst: “I don't believe that there's a singularity. I do believe that things are going to get better and better. Think of it more like a snowball picking up steam going down a hill. But the reason that it's snowballing like this is because people are putting money, and resources, and engineering time, and engineering effort in as they explore everything and start to figure all of this stuff out. Humans, for example, we've evolved to learn. We are very good at learning, and it takes very little data to show us how to do something, and then we practice and practice, iterate. Robots are not very good at learning yet. Robots take so much more data and so many more examples than a person. We're still figuring out how to teach robots how to learn. But one of the benefits that robots have in the long run is they have Wi-Fi. When you learn how to play the violin, you can't just load that to somebody else and then they know how to play the violin based on your learnings. Robots will be able to do that. @jason: “One robot learns to play violin, all robots know how to play a violin.” Jonathan Hurst: “Or all robots of that type know how to play the violin, right? And then minor variations for the next type and the next piece of hardware.” ------------------------------ Thanks to our partners for making this possible! Most advertisers have never heard of the platform with an $11B annual run rate in ad spend. AppLovin Ads. 1B+ daily active users, full-screen video ads watched for a median of 35 seconds, and businesses are profitably spending hundreds of thousands of dollars a day on it. Now open to everyone. Sign up at If your work depends on conversations — meetings, deal flow, interviews, customer calls — Plaud helps you capture and organize everything with highly accurate AI-generated notes that are not just simple summaries, but also highlight pain points, key decisions, next steps, and customizable summary templates. Check out Plaud at and use code ALLIN for up to 10% off! Which is also available on Amazon: (Code: ALLIN10X)

The All-In Podcast

69,358 görüntüleme • 11 gün önce

EVERYTHING JAPANESE IS REALLY CHINESE. Seriously? Well, yes. I mean, this title is clearly a generalization, so what it means is that the main cultural items that are widely assumed across the world to be Japanese actually come from China. . 1. Ramen Raman is a Chinese noodle dish, not Japanese. It was brought to Japan by Chinese travellers in the late 1800s. The original Japanese name for it was “shina soba” meaning Chinese noodles. . 2. Japanese writing The Japanese writing system known as Kanji has a name formed of two elements. Kanji literally means Han Writing. Han is the biggest ethnic group in China. . 3. The Kimono This was an adaptation of the type of draped silk clothing from China known as Hanfu. After the start of the Heian period in Japan in 794 AD, it became popular in Japan and started to acquire unique Japanese elements. . 4. Blossom trees Japan’s famous cherry blossoms actually come a tree indigenous not to Japan, but to the Himalayas, which border southwest China—in fact a long way from Japan. The practice of celebrating the annual blossoming of beautiful trees such as the cherry blossom and the plum blossom spread from southwest China to Korea and Japan, taking several centuries to make that journey. . 5. Sushi Sushi is fish with vinegared rice. It is vinegared to give it a pickled taste which is a clue towards its origins: a Chinese pickled dish in which salted fish was wrapped in fermented rice. Even today in Japan, a sushi kitchen is called a tsuke-ba, which means ‘pickling place’. . 6. The Japanese language Japan has its own language, sure – but statisticians say that at least 60 per cent of Japanese vocabulary comes from Chinese origins. . 7. Being ruled by an Emperor In the early 7th century, the Japanese adopted the title of Emperor from China for their own leaders. They used the same Chinese characters, and the same concept that the leader, by definition, was the Son of Heaven. This new rank was then retroactively applied to all past Japanese rulers, who all become emperors and sons of heaven. . 8. Bonsai. The practice of growing miniature trees and creating tiny landscapes developed in China, more than 1,500 years ago. It was known as penjing. The technique was introduced to Japan in the 7th century. . 9. Sashimi It was the Chinese rather than the Japanese who realized more than 1800 years ago that the flesh of certain fish was delicious eaten raw – no cooking necessary. Food historian Jacqueline Newman says that raw fish consumption began in southern China before 200 AD. It came to Japan about 11 hundred years later. . 10. The tea ceremony The tea ceremony originated in China during the Tang Dynasty, which is 600 to 900 AD, as a meditative health practice, before evolving into artistic ritual by the time of the Song Dynasty, which started in 960 AD. It was then taken to Japan by monks, like many Chinese cultural practices. . 11. The board game called GO In western culture, Go is a game associated with Japan. In reality, it is the world’s oldest known board game, originating in China about 4,000 years ago, according to Encyclopedia Britannica. The game was taken from China to Japan in 500 AD, which is “comparatively recently” in Chinese terms. . 12. Green tea Green tea, or matcha, comes from China and has been consumed for probably 4,000 years. It was brought to Japan by monks during the 8th and 9th centuries—very recently by Chinese standards! Two holy men, Saichō and Kukai, are credited with bringing it over the waters to Japan. . 13. Architecture The Japanese admired China’s extraordinarily long-lasting structures made of interlocking wooden elements and there was a lot of temple-building based on Chinese innovations in sixth century Japan. The Japanese capital, Nara, copied the checkerboard street layout of the Chinese capital, Chang’an. But, it must be said, the Japanese afterwards developed many of their own unique architectural elements. . 14. The Asian super-sword It was actually Tang dynasty scientists in China who revolutionized sword-making in the 7th century with a blade called the baogangfa – they fused high carbon steel (which enable sharpness) with low-carbon iron (which provided strength). The result was a blade that could slice through samurai armor. Japanese envoys brought Chinese swords back to Japan in the 700s. To give them due credit, the Japanese improved both the recipe and the design, to eventually come up with the curved katana sword. . 15. Cultural figures One of the most famous pop culture items from Japan is Dragonball. The creator of Dragonball fully admitted that his story was simply a retelling of the Chinese classic Journey to the West. Pokemon, another Japanese modern classic, has many ancient Chinese elements, too – research the nine-tailed fox for example. . 16. Zen An Indian monk named Bodhidharma came to China around 520 AD. His teachings became combined with Chinese philosophies such as Daoism. That led to the development of a practice called Chan, which is how the word Zen was originally pronounced. Records indicate that Chinese Chan Buddhism reached Japan in the 7th century but was not firmly established in that country until the 12th century. . CONCLUSIONS? Okay, there are 16 items – things assumed to be Japanese by many people, but which are rooted in Chinese culture. But there are others. So feel free to add more. Or shoot down the ones I have listed, if you prefer. Why do so many Japanese items come from China? Well, for much of history, China was the cool place, the happening place, the creative place, the dominant cultural center of the most highly populated part of the world. So naturally people wanted to visit it. One ancient record show that between AD 603 and AD 839, the Japanese alone sent at least 17 diplomatic missions to the Tang Dynasty royal courts in China. And I am going to add one more item to my list. Do the Japanese people themselves come from China? A short discussion of that somewhat controversial question comes at the end of the video. Read widely. Peace.

EVERYTHING JAPANESE IS REALLY CHINESE. Seriously? Well, yes. I mean, this title is clearly a generalization, so what it means is that the main cultural items that are widely assumed across the world to be Japanese actually come from China. . 1. Ramen Raman is a Chinese noodle dish, not Japanese. It was brought to Japan by Chinese travellers in the late 1800s. The original Japanese name for it was “shina soba” meaning Chinese noodles. . 2. Japanese writing The Japanese writing system known as Kanji has a name formed of two elements. Kanji literally means Han Writing. Han is the biggest ethnic group in China. . 3. The Kimono This was an adaptation of the type of draped silk clothing from China known as Hanfu. After the start of the Heian period in Japan in 794 AD, it became popular in Japan and started to acquire unique Japanese elements. . 4. Blossom trees Japan’s famous cherry blossoms actually come a tree indigenous not to Japan, but to the Himalayas, which border southwest China—in fact a long way from Japan. The practice of celebrating the annual blossoming of beautiful trees such as the cherry blossom and the plum blossom spread from southwest China to Korea and Japan, taking several centuries to make that journey. . 5. Sushi Sushi is fish with vinegared rice. It is vinegared to give it a pickled taste which is a clue towards its origins: a Chinese pickled dish in which salted fish was wrapped in fermented rice. Even today in Japan, a sushi kitchen is called a tsuke-ba, which means ‘pickling place’. . 6. The Japanese language Japan has its own language, sure – but statisticians say that at least 60 per cent of Japanese vocabulary comes from Chinese origins. . 7. Being ruled by an Emperor In the early 7th century, the Japanese adopted the title of Emperor from China for their own leaders. They used the same Chinese characters, and the same concept that the leader, by definition, was the Son of Heaven. This new rank was then retroactively applied to all past Japanese rulers, who all become emperors and sons of heaven. . 8. Bonsai. The practice of growing miniature trees and creating tiny landscapes developed in China, more than 1,500 years ago. It was known as penjing. The technique was introduced to Japan in the 7th century. . 9. Sashimi It was the Chinese rather than the Japanese who realized more than 1800 years ago that the flesh of certain fish was delicious eaten raw – no cooking necessary. Food historian Jacqueline Newman says that raw fish consumption began in southern China before 200 AD. It came to Japan about 11 hundred years later. . 10. The tea ceremony The tea ceremony originated in China during the Tang Dynasty, which is 600 to 900 AD, as a meditative health practice, before evolving into artistic ritual by the time of the Song Dynasty, which started in 960 AD. It was then taken to Japan by monks, like many Chinese cultural practices. . 11. The board game called GO In western culture, Go is a game associated with Japan. In reality, it is the world’s oldest known board game, originating in China about 4,000 years ago, according to Encyclopedia Britannica. The game was taken from China to Japan in 500 AD, which is “comparatively recently” in Chinese terms. . 12. Green tea Green tea, or matcha, comes from China and has been consumed for probably 4,000 years. It was brought to Japan by monks during the 8th and 9th centuries—very recently by Chinese standards! Two holy men, Saichō and Kukai, are credited with bringing it over the waters to Japan. . 13. Architecture The Japanese admired China’s extraordinarily long-lasting structures made of interlocking wooden elements and there was a lot of temple-building based on Chinese innovations in sixth century Japan. The Japanese capital, Nara, copied the checkerboard street layout of the Chinese capital, Chang’an. But, it must be said, the Japanese afterwards developed many of their own unique architectural elements. . 14. The Asian super-sword It was actually Tang dynasty scientists in China who revolutionized sword-making in the 7th century with a blade called the baogangfa – they fused high carbon steel (which enable sharpness) with low-carbon iron (which provided strength). The result was a blade that could slice through samurai armor. Japanese envoys brought Chinese swords back to Japan in the 700s. To give them due credit, the Japanese improved both the recipe and the design, to eventually come up with the curved katana sword. . 15. Cultural figures One of the most famous pop culture items from Japan is Dragonball. The creator of Dragonball fully admitted that his story was simply a retelling of the Chinese classic Journey to the West. Pokemon, another Japanese modern classic, has many ancient Chinese elements, too – research the nine-tailed fox for example. . 16. Zen An Indian monk named Bodhidharma came to China around 520 AD. His teachings became combined with Chinese philosophies such as Daoism. That led to the development of a practice called Chan, which is how the word Zen was originally pronounced. Records indicate that Chinese Chan Buddhism reached Japan in the 7th century but was not firmly established in that country until the 12th century. . CONCLUSIONS? Okay, there are 16 items – things assumed to be Japanese by many people, but which are rooted in Chinese culture. But there are others. So feel free to add more. Or shoot down the ones I have listed, if you prefer. Why do so many Japanese items come from China? Well, for much of history, China was the cool place, the happening place, the creative place, the dominant cultural center of the most highly populated part of the world. So naturally people wanted to visit it. One ancient record show that between AD 603 and AD 839, the Japanese alone sent at least 17 diplomatic missions to the Tang Dynasty royal courts in China. And I am going to add one more item to my list. Do the Japanese people themselves come from China? A short discussion of that somewhat controversial question comes at the end of the video. Read widely. Peace.

Nury Vittachi

1,198,950 görüntüleme • 9 ay önce

THIS IS HOW AGENCIES ARE GETTING NEW CLIENTS ON AUTOPILOT stop cold dming on linkedin, stop running paid ads to a calendly link, and stop sending cold emails that land in spam the agencies actually winning right now are writing REDDIT posts that rank on google and chatgpt/claude INSTANTLY for the exact keywords their next client is searching think about how clients actually look for an agency they don't browse linkedin. they don't click an ad. they open google or chatgpt/claude and type something like: > "best ecommerce marketing agency" > "klaviyo email agency alternative" > "shopify SEO agency for dtc brands" > "tiktok ads agency for fashion brands" > "hubspot agency partner near me" every single one of those is a buyer with a budget and intent to hire someone within 30 days the founders winning these searches aren't writing blog posts that rank in 8 months they're writing reddit posts that rank in 8 hours reddit posts permanently sit at the top of google for niche service keywords because google trusts reddit more than your domain. and they get pulled into chatgpt, perplexity, and claude as cited sources too the only problem is finding the right keywords manually and making optimized content takes WAY too long. so i built a tool that does the entire workflow for an agency in less than 5 minutes: > describe your service and your niche > AI scans google, reddit, and AI search engines for the keywords your buyers are typing > scores every keyword on conversion potential not search volume > shows you the exact subreddits your future clients hang out in > writes reddit posts that rank for those keywords without getting removed by mods > tracks which posts are actually pulling in traffic and inbound leads one ranked reddit post can outproduce a year of cold outreach agencies that figure this out first are about to quietly own the entire inbound game in 2026

THIS IS HOW AGENCIES ARE GETTING NEW CLIENTS ON AUTOPILOT stop cold dming on linkedin, stop running paid ads to a calendly link, and stop sending cold emails that land in spam the agencies actually winning right now are writing REDDIT posts that rank on google and chatgpt/claude INSTANTLY for the exact keywords their next client is searching think about how clients actually look for an agency they don't browse linkedin. they don't click an ad. they open google or chatgpt/claude and type something like: > "best ecommerce marketing agency" > "klaviyo email agency alternative" > "shopify SEO agency for dtc brands" > "tiktok ads agency for fashion brands" > "hubspot agency partner near me" every single one of those is a buyer with a budget and intent to hire someone within 30 days the founders winning these searches aren't writing blog posts that rank in 8 months they're writing reddit posts that rank in 8 hours reddit posts permanently sit at the top of google for niche service keywords because google trusts reddit more than your domain. and they get pulled into chatgpt, perplexity, and claude as cited sources too the only problem is finding the right keywords manually and making optimized content takes WAY too long. so i built a tool that does the entire workflow for an agency in less than 5 minutes: > describe your service and your niche > AI scans google, reddit, and AI search engines for the keywords your buyers are typing > scores every keyword on conversion potential not search volume > shows you the exact subreddits your future clients hang out in > writes reddit posts that rank for those keywords without getting removed by mods > tracks which posts are actually pulling in traffic and inbound leads one ranked reddit post can outproduce a year of cold outreach agencies that figure this out first are about to quietly own the entire inbound game in 2026

Om Patel

10,998 görüntüleme • 3 ay önce

Can we compile matter - for instance, a pine cone - and derive new active materials, end-to-end from observation to manufacturing? If physical systems can be formalized as composable mathematics, we can point AI that has been shown to resolve long-open mathematical problems at matter itself. Our new work turns bioinspired engineering from analogy into formal compilation: biology and mechanics become explicit, checkable, and executable, so AI reasoning can produce physical designs. This is the first end-to-end demonstration in which a formally compositional multiscale model is carried from a biological hierarchy, through engineered design and fabrication specification, to executable manufacturing code - and then to a physically tested artifact. Background: Humans have long been inspired by biology to advance technology, but this has usually been an ad hoc process rather than a mathematically rigorous one. Natural materials such as pinecones achieve adaptive behavior through mechanisms organized across many scales. Engineering typically translates those mechanisms by analogy: identify a biological principle, build something inspired by it, and validate each new design as a separate case. This can produce remarkable results, but the knowledge does not readily compound. Instead, we represent each scale as a dynamical module with explicit states, stimuli, governing laws, and interfaces. Every scale-to-scale map must preserve the stimulus - response dynamics: evolve the fine-scale system and then map upward, or map upward first and then evolve. The two paths must agree. Because this condition is preserved under composition, locally valid interfaces remain consistent when assembled into the full hierarchy. We then carry that structure into an engineered system, translate the target behavior into a verified fabrication specification, and compile it into G-code: the toolpaths, deposition sequence, temperatures, speeds, and other commands executed by a 3D printer. The intermediate translations are explicit, checkable, and executable rather than completed through an ad hoc handoff. The formal guarantee is that given valid local models and interfaces, their composition remains valid. Whether those models and manufacturing assumptions accurately capture physical reality remains an empirical question. That is why we fabricated and tested the results. We generated four actuator classes by crossing two stimuli - humidity and heat - with two responses: bending and twisting. The fourth, thermal twisting, required no new pipeline and no separate derivation within the framework. It emerged by composing a thermal stimulus module already validated in one case with a twisting module validated in another. The generated G-code produced the intended motion without manual redesign, and all four predictions fell within one experimental standard deviation of the measured response. Why this matters: 1⃣For AI in science, this provides a physics-aware type system against which generative proposals can be checked - and rejected at the interface - before expensive simulation, fabrication, or experiment. It is roughly analogous to proof checking, but for the composition of physical mechanisms. 2⃣For engineering, the accessible design space can scale with a library of validated components rather than with the number of individually derived cases. 3⃣The mathematics, category theory, carries all the way into a physical object on a print bed. This points toward scientific knowledge as executable infrastructure: models that are not only described in papers, but typed, composable, verifiable, and able to compile into experiments. Excellent work led by my student Lee Marom with Skylar Tibbits & Gioele Zardini. Paper published in J. Mech. Phys. Solids along with code, Grasshopper scripts, and manufacturing G-code below.

Can we compile matter - for instance, a pine cone - and derive new active materials, end-to-end from observation to manufacturing? If physical systems can be formalized as composable mathematics, we can point AI that has been shown to resolve long-open mathematical problems at matter itself. Our new work turns bioinspired engineering from analogy into formal compilation: biology and mechanics become explicit, checkable, and executable, so AI reasoning can produce physical designs. This is the first end-to-end demonstration in which a formally compositional multiscale model is carried from a biological hierarchy, through engineered design and fabrication specification, to executable manufacturing code - and then to a physically tested artifact. Background: Humans have long been inspired by biology to advance technology, but this has usually been an ad hoc process rather than a mathematically rigorous one. Natural materials such as pinecones achieve adaptive behavior through mechanisms organized across many scales. Engineering typically translates those mechanisms by analogy: identify a biological principle, build something inspired by it, and validate each new design as a separate case. This can produce remarkable results, but the knowledge does not readily compound. Instead, we represent each scale as a dynamical module with explicit states, stimuli, governing laws, and interfaces. Every scale-to-scale map must preserve the stimulus - response dynamics: evolve the fine-scale system and then map upward, or map upward first and then evolve. The two paths must agree. Because this condition is preserved under composition, locally valid interfaces remain consistent when assembled into the full hierarchy. We then carry that structure into an engineered system, translate the target behavior into a verified fabrication specification, and compile it into G-code: the toolpaths, deposition sequence, temperatures, speeds, and other commands executed by a 3D printer. The intermediate translations are explicit, checkable, and executable rather than completed through an ad hoc handoff. The formal guarantee is that given valid local models and interfaces, their composition remains valid. Whether those models and manufacturing assumptions accurately capture physical reality remains an empirical question. That is why we fabricated and tested the results. We generated four actuator classes by crossing two stimuli - humidity and heat - with two responses: bending and twisting. The fourth, thermal twisting, required no new pipeline and no separate derivation within the framework. It emerged by composing a thermal stimulus module already validated in one case with a twisting module validated in another. The generated G-code produced the intended motion without manual redesign, and all four predictions fell within one experimental standard deviation of the measured response. Why this matters: 1⃣For AI in science, this provides a physics-aware type system against which generative proposals can be checked - and rejected at the interface - before expensive simulation, fabrication, or experiment. It is roughly analogous to proof checking, but for the composition of physical mechanisms. 2⃣For engineering, the accessible design space can scale with a library of validated components rather than with the number of individually derived cases. 3⃣The mathematics, category theory, carries all the way into a physical object on a print bed. This points toward scientific knowledge as executable infrastructure: models that are not only described in papers, but typed, composable, verifiable, and able to compile into experiments. Excellent work led by my student Lee Marom with Skylar Tibbits & Gioele Zardini. Paper published in J. Mech. Phys. Solids along with code, Grasshopper scripts, and manufacturing G-code below.

Markus J. Buehler

127,600 görüntüleme • 22 gün önce

On Friday, I hosted a Space with Jonathan Ross, the founder and CEO of Groq Inc - a company I invested in that is building custom chips for AI inference. Jonathan, a former high-school dropout, entered the chip industry while working on ad optimization at Google’s New York office. Jonathan overheard the speech recognition team complaining that they couldn't get enough compute. These were the early days of AI, and machine learning wasn’t really a thing yet. So he asked for some budget from Google and started putting together a chip-based machine learning accelerator for them. During the day, Jonathan would work in the normal ads part of the business, and at night, he would work with the accelerator team. After winning approval from Google, Jonathan and his team built a new chip called the Tensor Processing Unit, and began deploying it across Google’s data centers within a year. The TPU was a huge success within Google, eventually underpinning more than 50% of all of Google’s compute power. When the other hyper-scalers learned of this success, they tried to hire Jonathan to build custom chips for them too. During this process, it became increasingly clear to Jonathan that a gap would emerge between companies that had access to next-gen compute and companies that didn’t. So he founded Groq and set out to build a chip that would be available to everyone. I led Groq’s founding investment in 2016, and since then, Jonathan and his team have developed several types of AI hardware including the Language Processing Unit (LPU), a new type of silicon that is hyper-efficient at running inference for LLMs. In our conversation on Friday, we discussed the founding story of Groq, what you need for great AI hardware, large language models, and some of the implications for the key players in AI. It’s one of the most interesting conversations I’ve had on AI with a lot of learnings. You can listen to our conversation below:

On Friday, I hosted a Space with Jonathan Ross, the founder and CEO of Groq Inc - a company I invested in that is building custom chips for AI inference. Jonathan, a former high-school dropout, entered the chip industry while working on ad optimization at Google’s New York office. Jonathan overheard the speech recognition team complaining that they couldn't get enough compute. These were the early days of AI, and machine learning wasn’t really a thing yet. So he asked for some budget from Google and started putting together a chip-based machine learning accelerator for them. During the day, Jonathan would work in the normal ads part of the business, and at night, he would work with the accelerator team. After winning approval from Google, Jonathan and his team built a new chip called the Tensor Processing Unit, and began deploying it across Google’s data centers within a year. The TPU was a huge success within Google, eventually underpinning more than 50% of all of Google’s compute power. When the other hyper-scalers learned of this success, they tried to hire Jonathan to build custom chips for them too. During this process, it became increasingly clear to Jonathan that a gap would emerge between companies that had access to next-gen compute and companies that didn’t. So he founded Groq and set out to build a chip that would be available to everyone. I led Groq’s founding investment in 2016, and since then, Jonathan and his team have developed several types of AI hardware including the Language Processing Unit (LPU), a new type of silicon that is hyper-efficient at running inference for LLMs. In our conversation on Friday, we discussed the founding story of Groq, what you need for great AI hardware, large language models, and some of the implications for the key players in AI. It’s one of the most interesting conversations I’ve had on AI with a lot of learnings. You can listen to our conversation below:

Chamath Palihapitiya

326,752 görüntüleme • 2 yıl önce

Roman architecture is at centre of Europe’s visual allure. Sophisticated Roman structures have survived hundreds of centuries without renovation... In 103 AD Roman engineer Apollodorus of Damascus built a 1.1km bridge from stone and wood. Trajan’s Bridge was 19m from surface of river, 15m wide and capable of supporting the weight of hundreds of traversing Roman soldiers. It was only a few feet shorter than Sydney harbour bridge. Romans built a lot of West’s longest standing buildings. They were also the first civilisation to make bridges from concrete. Some of these ancient bridges stand now as they did day they were built. This is thanks to the structural innovations that were first used by Romans. And innovations that eventually helped shape contemporary bridge engineering. Alcántara Bridge is such a bridge, standing in Spain since 104 AD. Roman civil engineer Caius Julius Lacer was the man behind the bridge. His tomb stands nearby, with an epitaph that reads “I leave a bridge forever in the centuries of the world”. He wasn’t wrong. There is a rumour doing the rounds on web that Roman engineers in charge of building bridges had to stand beneath them as scaffolding was removed. Apparently, trepidation of tonnes of rock and debris falling and crushing you lead to some pretty tight structural planning. A more likely history is found in Roman Empire’s military expansion. To improve Roman access lines the empire formed guilds of skilled workers and thinkers who shared ideas and building principles. These early engineering guilds made important discoveries in structural design, in the materials and in the piers that supported the legs of the bridges. Romans had improved traditional footbridge by creating a bridge that maintained its structural integrity through the centre. To achieve this the Romans did not rely on steel beams running through the stone members, but instead on the tensile strength of the stones themselves. The shape of the arch allowed the bricks to be inserted at a curved angle until they joined at the peak of the arch with a keystone. This keystone was shaped as a trapezoid that used the weight of the stone and concrete in the bridge to compress the tapered stones together. This pressure formed a structure in the arch that required a tremendous amount of force to rupture. Where traditional bridges were at their weakest in the centre, the arch was at its strongest. Arch was a structural innovation in building design. But it wasn’t only thing Roman Empire contributed to construction. Romans were also unique in the materials they chose to build with. A natural cement called pozzolana was used by Romans as mortar for piers (legs) of their bridges. Not only is this cement said to be ecologically cleaner than today’s cement mixtures, but its also a cement that grows stronger over time. Pozzolana is still used in some countries. It’s made by combining two parts pozzolana (which is a type of slag that forms naturally from volcanic rock) with one part powdered lime. As early as 3rd Century BC, Romans used pozzolana instead of sand in concrete in their construction. This gave their structures supreme strength and stability. As not every bridge built by Romans had luxury of building its piers on land, Romans used cofferdams where the piers would fall within a body of water. Romans used cofferdam as temporary structure that allowed construction of a bridge pier in a space of water. Cofferdams that were used by Romans were simpler than ones used in contemporary construction, but their function is identical. First, Romans would dig a ring of timber logs into river bed. They would then fill gaps between logs with clay for waterproofing, before pumping water from inside circle of logs. Upon newly dry riverbed, Romans would construct pozzolana and stone piers. After construction had been completed ring of logs was removed and piers stood in riverbed like magic. 🎥© simple.history_ (IG) #archaeohistories

Roman architecture is at centre of Europe’s visual allure. Sophisticated Roman structures have survived hundreds of centuries without renovation... In 103 AD Roman engineer Apollodorus of Damascus built a 1.1km bridge from stone and wood. Trajan’s Bridge was 19m from surface of river, 15m wide and capable of supporting the weight of hundreds of traversing Roman soldiers. It was only a few feet shorter than Sydney harbour bridge. Romans built a lot of West’s longest standing buildings. They were also the first civilisation to make bridges from concrete. Some of these ancient bridges stand now as they did day they were built. This is thanks to the structural innovations that were first used by Romans. And innovations that eventually helped shape contemporary bridge engineering. Alcántara Bridge is such a bridge, standing in Spain since 104 AD. Roman civil engineer Caius Julius Lacer was the man behind the bridge. His tomb stands nearby, with an epitaph that reads “I leave a bridge forever in the centuries of the world”. He wasn’t wrong. There is a rumour doing the rounds on web that Roman engineers in charge of building bridges had to stand beneath them as scaffolding was removed. Apparently, trepidation of tonnes of rock and debris falling and crushing you lead to some pretty tight structural planning. A more likely history is found in Roman Empire’s military expansion. To improve Roman access lines the empire formed guilds of skilled workers and thinkers who shared ideas and building principles. These early engineering guilds made important discoveries in structural design, in the materials and in the piers that supported the legs of the bridges. Romans had improved traditional footbridge by creating a bridge that maintained its structural integrity through the centre. To achieve this the Romans did not rely on steel beams running through the stone members, but instead on the tensile strength of the stones themselves. The shape of the arch allowed the bricks to be inserted at a curved angle until they joined at the peak of the arch with a keystone. This keystone was shaped as a trapezoid that used the weight of the stone and concrete in the bridge to compress the tapered stones together. This pressure formed a structure in the arch that required a tremendous amount of force to rupture. Where traditional bridges were at their weakest in the centre, the arch was at its strongest. Arch was a structural innovation in building design. But it wasn’t only thing Roman Empire contributed to construction. Romans were also unique in the materials they chose to build with. A natural cement called pozzolana was used by Romans as mortar for piers (legs) of their bridges. Not only is this cement said to be ecologically cleaner than today’s cement mixtures, but its also a cement that grows stronger over time. Pozzolana is still used in some countries. It’s made by combining two parts pozzolana (which is a type of slag that forms naturally from volcanic rock) with one part powdered lime. As early as 3rd Century BC, Romans used pozzolana instead of sand in concrete in their construction. This gave their structures supreme strength and stability. As not every bridge built by Romans had luxury of building its piers on land, Romans used cofferdams where the piers would fall within a body of water. Romans used cofferdam as temporary structure that allowed construction of a bridge pier in a space of water. Cofferdams that were used by Romans were simpler than ones used in contemporary construction, but their function is identical. First, Romans would dig a ring of timber logs into river bed. They would then fill gaps between logs with clay for waterproofing, before pumping water from inside circle of logs. Upon newly dry riverbed, Romans would construct pozzolana and stone piers. After construction had been completed ring of logs was removed and piers stood in riverbed like magic. 🎥© simple.history_ (IG) #archaeohistories

Archaeo - Histories

52,307 görüntüleme • 1 yıl önce

You can be a great team with resources that rank in the middle of your conference. You can take a job and have success at a school in which the administration has higher expectations than they give you resources. The reality is, it is difficult to get any head coaching position, especially for those looking for their first. First time head coaches usually aren’t getting max resourced jobs in high school, college, or in the pros. The resource excuse is often a crutch for coaches: “We didn’t beat them because they have more.” “How are we suppose to win with our facilities?” “We travel in vans. They travel charter; they are more well-rested and prepared.” When deciding whether to apply for, go through the hiring process, and ultimately, making the decision to accept a new position, coaches should ask themselves three questions: 1. “Is my new administration open-minded to finding creative solutions to bridging the resource gaps so we can provide the best experience for our student-athletes?” -Creating revenue: My current athletic director David Spafford has taught me a lot about revenue creation in athletics. There are a lot of ways to bridge the budget gap including fundraising, corporate sponsorships, ticket sales, facility rentals, camps, and much more. The possibilities are endless. If you are looking at a position where the allocated resources aren’t where they need to be to compete then ask yourself if you’re the right person to help create revenue. You’ll see a job where the previous 10 years yielded multiple coaches and no success. Then one coach comes in and turns everything around without a change to the allocated resources. Chances are, the new coach is a better fit for the job than prior coaches. They usually arrive with a bag full of creative solutions and positive energy to move the program forward. If you don’t have budget money for post-workout nutrition for your student-athletes then go raise money. If you need a new weight room then go talk to corporate sponsors around the community about giving X amount of dollars annually for the next 10 years. Get an architectural rendering. Go out and show the community what is needed, why it benefits them and others. Remember, actual coaching is a small percentage of the job. Building a program is so much more. 2. “What do I need as a coach for success, what are my non-negotiables, and does this position provide them so I can help the school, program, and student-athletes achieve success?” -Every coach needs talented players, but it’s more than that. Style of play is really important for each coach. Does the job you’re considering allow you to work with and develop the type of athlete you need to be successful. Some coaches are flexible in working with different leadership styles, many are not. Can you handle an athletic director who micro-manages or who can and will blow up on you? Do you prefer a more hands-off AD? What kind of boss do you need and does the job provide it? Make a list of 3-5 non-negotiables. Does the job have them? If they don’t then you already know your answer. The job has to line up with your core values. 3. “Can we compete towards the top third of the conference if I am the head coach at this job?” -The quality of every job is ultimately on a sliding scale based on how good the conference is. Maybe the job you are considering is poorly-resourced but it’s also in a weak conference. This is the type of job you should consider taking. The jobs you need to avoid are the worst jobs within the best leagues. You can take and find success in a low-resourced positions if the league is just ok. However, there is minimal pathway to success if you’re in the best league and at an under-resourced school. If you do catch lighting in a bottle, there won’t be sustainability with this set up.

You can be a great team with resources that rank in the middle of your conference. You can take a job and have success at a school in which the administration has higher expectations than they give you resources. The reality is, it is difficult to get any head coaching position, especially for those looking for their first. First time head coaches usually aren’t getting max resourced jobs in high school, college, or in the pros. The resource excuse is often a crutch for coaches: “We didn’t beat them because they have more.” “How are we suppose to win with our facilities?” “We travel in vans. They travel charter; they are more well-rested and prepared.” When deciding whether to apply for, go through the hiring process, and ultimately, making the decision to accept a new position, coaches should ask themselves three questions: 1. “Is my new administration open-minded to finding creative solutions to bridging the resource gaps so we can provide the best experience for our student-athletes?” -Creating revenue: My current athletic director David Spafford has taught me a lot about revenue creation in athletics. There are a lot of ways to bridge the budget gap including fundraising, corporate sponsorships, ticket sales, facility rentals, camps, and much more. The possibilities are endless. If you are looking at a position where the allocated resources aren’t where they need to be to compete then ask yourself if you’re the right person to help create revenue. You’ll see a job where the previous 10 years yielded multiple coaches and no success. Then one coach comes in and turns everything around without a change to the allocated resources. Chances are, the new coach is a better fit for the job than prior coaches. They usually arrive with a bag full of creative solutions and positive energy to move the program forward. If you don’t have budget money for post-workout nutrition for your student-athletes then go raise money. If you need a new weight room then go talk to corporate sponsors around the community about giving X amount of dollars annually for the next 10 years. Get an architectural rendering. Go out and show the community what is needed, why it benefits them and others. Remember, actual coaching is a small percentage of the job. Building a program is so much more. 2. “What do I need as a coach for success, what are my non-negotiables, and does this position provide them so I can help the school, program, and student-athletes achieve success?” -Every coach needs talented players, but it’s more than that. Style of play is really important for each coach. Does the job you’re considering allow you to work with and develop the type of athlete you need to be successful. Some coaches are flexible in working with different leadership styles, many are not. Can you handle an athletic director who micro-manages or who can and will blow up on you? Do you prefer a more hands-off AD? What kind of boss do you need and does the job provide it? Make a list of 3-5 non-negotiables. Does the job have them? If they don’t then you already know your answer. The job has to line up with your core values. 3. “Can we compete towards the top third of the conference if I am the head coach at this job?” -The quality of every job is ultimately on a sliding scale based on how good the conference is. Maybe the job you are considering is poorly-resourced but it’s also in a weak conference. This is the type of job you should consider taking. The jobs you need to avoid are the worst jobs within the best leagues. You can take and find success in a low-resourced positions if the league is just ok. However, there is minimal pathway to success if you’re in the best league and at an under-resourced school. If you do catch lighting in a bottle, there won’t be sustainability with this set up.

Craig Doty

276,614 görüntüleme • 2 yıl önce