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If you take a movement to unpack this visualization... You'll see how it simply breaks down how reality works. At frame 0 you have a static image. Everything is one, this is the monad. As soon as you hit frame 1 there is movement, there is change. Now you... have two states, moving, or static. When Nikola Tesla says you can explain everything in frequency and vibration. The difference between frame 0 and 1, is vibration. The difference between movement and no movement. This is like binary logic we use in code which is made up of 0's and 1's. After frame 1, is when frequency emerges. Because the difference between frame 1 and all frames after is about how fast is the vibration/movement happening. If we skip forward to frame 50... You have a shape that begins to emerge, this is the 8 dots, then the 6 dots. Notice how unstable it is, it's 8 dots, then 6, then a moment with 4 in a rectangle These shapes are emergent properties. The first two emergent properties after the monad was vibration and frequency. Next comes shape (i'm skipping over rotation and direction). These shapes of dots can only exist when you have frequency and rotation. This frequency and rotation creates vortex energy. It's the same energy that things like your chakras use. Or the same energy we harness in devices like engines, airplanes, fans, blenders, hard drives, etc. It's also the same vortex energy you'll see in a tornado or hurricane. They are powered because they harness rotation and frequency(change/movement). Going back to the video, notice that it is inside the entire shape, the internal structure is manifesting before the external structure does. Then around frame 60 the hexagon of circles begins to rotate. First it was the two dots that moved and now it's a complex shape that is coming to life. This is a higher dimension (or lower depending on how you look at it) manifesting into existence. The internal state is "awakening" and experiencing it's own change like what happened to the whole shape in the first frames. But it is unstable. That's why it doesn't persist for long. If you think of the 8 dots being the octahedron, they map to the element of air. Air is in the material world, but it is not something you can see. The brief moments the 8 dots are visible is similar to that effect. They are only experienceable between a small frequency band of frames. Now here's where stability begins to appear in the internal structure. This is when the 4 dots appear. You'll see that the four dots, the square, is stable and persists the most visibly for the most amount of frames. The square represents earth in the platonic solids to elements mapping. Earth, is material, it's stable. We build our buildings in squares and with earth because it is a solid shape to build on. This visualization shows you why. Across different vibrations (frame rates) it can self sustain. Between this point and frame 180, you'll see a new emergent property. Which is depth. A new dimension is introduced at around frame 90 but really becomes visible at around frame 110. You can see a foreground and background. There is the shape of the dots, but also the triskellion wave happening in the background. Let's jump to frame 180. Notice how it is the same as frame 0 except... It's flashing. If you were paying attention, you'll notice you could see flashing at frame 90 and frame 120, but they didn't persist for long. At around 150 it started to reach stability and 180 it was solidified. Between frames 150 and 180 there is flashing, but the image is still moving. Only for a brief moment at frame 180 is the movement frozen and the flashing persists. Think of that like your computer screen. It's what your screen is doing right now as you read this. Even tho the text isn't moving, the screen is flashing at 60 or 120hz. The images appear on your device because this flashing brings things to life. The entire material realm and your physical body right now, is doing the same thing. While you look solid... You're flashing in and out of existence at very high frequencies. You can look at frame 180 and frame 0 as the same essence but it is the mid point between an octave change. In the video, the ying and yang was vertical, now it is horizontal. This is a phase shift. If you notice at exactly frame 180, the rotation freezes and then the direction of rotation changes. The process then repeats all the way to frame 360 but in the opposite sequence. Once it reaches frame 360, that is an octave change and the process repeats. Each time you repeat the process is a layering of the same patterns into higher octaves. This is the same as your chakras or how other things work. They are like russian nesting dolls where every octave is layering onto the next. The complexity of your body is a layering of basic principles that emerged in earlier stages. Your organs are built of systems that are built with cells that are built with proteins that are built with atoms and so on. The atoms, work just like your body at a basic level. Your body works just like the galaxies. At each level you'll have the same pattern. This is where the idea "As Above, So Below" from. The monad, splits in two, and so on and so on. One cell, splits into two through mitosis in the same logic. We could spend all day going through examples of how biology, physics, spirituality, etc. aren't really different. They are just categories that we use to dissect these frequencies and octaves of energy but they only start paying attention within the confines of materialism. The problem is, none of the sciences start at the root patterns. Because that is reserved for religion or spirituality. It's too woo-woo to take seriously so it's dismissed. And because of that... We're left ignorant on the simple explanations for how things work. Now you need some expert with tools you don't have access to in order to explain things. When you could be understanding them without the tools. The Yin and Yang symbol in this video is 3,000 years old. It's simple. Yet I just showed you how it explains deeper layers of reality.show more

Jamal ☯︎ 🔆🧘🏽🧠

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13,149 görüntüleme • 2 ay önce •via X (Twitter)

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WAKE UP AMERICA YOU ARE UNDER ATTACK ⛔️ Latest update on the WEF Maui, Lahaina Fires, Hawaii 🔥🚨 ‌ Legislation Passed in Hawaii RIGHT BEFORE & Lockheed Martin is one of the biggest donors of American Red Cross, who is also developing Weapons D.E.W's (Direct Energy Weapons) for Military ‌ “Because when I look at it, when you get into these things and you look at the history, you have so many stories which have been rewritten and then told the different thing. And then if we look at two things with the things with the governor, stuff with the governor and the things that was happening with the governor. ‌ Governor was passing bills just before this so that they can change the zoning. Think about this. They wanted to change the zoning before the event. Then the event occurs and then all of a sudden the people are going to lose their land or have their land taken from them from FEMA. And that's what FEMA does. FEMA comes in there so that they can try to say they're going to save you, just like the Red Cross. ‌ Baloney. And they're trying to say that they're going to help you when they're on the other side. If you look at the largest donator or one of the largest donators on the red Cross, it's Lockheed Martin. ‌ Lockheed Martin, THEY CREATE DEWs, DEWs (Direct Energy Weapons). So if you think about this, if the people who create the weapons are funding the people who come in after the destruction, then do you see what happens? It goes back and forth. And then in the meantime, a new story, a new fairy tale, a new history, whatever you want to say is written. ‌ We start to see this and they take over and then the history is completely lost and all the heritage is gone. The culture is gone. And they slowly keep doing this. AND THEYmVE DONE THIS SO MANY TIMES ‌ Just to see this, just to see just to to feel this through, you could feel the feel through the screen. You could feel it. You could see the pictures and know that something is so wrong ⚠️ ‌ #Hawaii #MauiFires #Lahaina

WAKE UP AMERICA YOU ARE UNDER ATTACK ⛔️ Latest update on the WEF Maui, Lahaina Fires, Hawaii 🔥🚨 ‌ Legislation Passed in Hawaii RIGHT BEFORE & Lockheed Martin is one of the biggest donors of American Red Cross, who is also developing Weapons D.E.W's (Direct Energy Weapons) for Military ‌ “Because when I look at it, when you get into these things and you look at the history, you have so many stories which have been rewritten and then told the different thing. And then if we look at two things with the things with the governor, stuff with the governor and the things that was happening with the governor. ‌ Governor was passing bills just before this so that they can change the zoning. Think about this. They wanted to change the zoning before the event. Then the event occurs and then all of a sudden the people are going to lose their land or have their land taken from them from FEMA. And that's what FEMA does. FEMA comes in there so that they can try to say they're going to save you, just like the Red Cross. ‌ Baloney. And they're trying to say that they're going to help you when they're on the other side. If you look at the largest donator or one of the largest donators on the red Cross, it's Lockheed Martin. ‌ Lockheed Martin, THEY CREATE DEWs, DEWs (Direct Energy Weapons). So if you think about this, if the people who create the weapons are funding the people who come in after the destruction, then do you see what happens? It goes back and forth. And then in the meantime, a new story, a new fairy tale, a new history, whatever you want to say is written. ‌ We start to see this and they take over and then the history is completely lost and all the heritage is gone. The culture is gone. And they slowly keep doing this. AND THEYmVE DONE THIS SO MANY TIMES ‌ Just to see this, just to see just to to feel this through, you could feel the feel through the screen. You could feel it. You could see the pictures and know that something is so wrong ⚠️ ‌ #Hawaii #MauiFires #Lahaina

Wall Street Apes

1,018,578 görüntüleme • 2 yıl önce

In my previous post about the #Nioh3 demo, I mentioned that when the game isn’t consistently holding 60 FPS or 120 FPS, several issues can show up. Here’s a clearer breakdown of what's going on. The main reason is that the game speed and physics are tied to the frame rate. When you enable the 120 FPS cap, the engine start overreacting and pushes CPU usage very high, even if the game is still running at around 60 FPS (as shown in the first example). In the second clip, you can see the uneven, jittery camera movement I mentioned before. Notice how much smoother 60 FPS and 120 FPS look compared to the unlocked side. Also, camera movement at 60 FPS is slightly faster than at 120 FPS. In the third clip, player movement is slower when the frame rate is unlocked. This doesn’t happen all the time, but it shows up often enough to be noticeable. Because of how the Katana Engine behaves, the game is clearly designed around 60 FPS. Running at 120 FPS is possible, but it’s only recommended if your system can maintain that target almost all the time, which isn’t easy to achieve. There’s also an alternative workaround where you select the 60 (locked) option and enable Frame Generation (DLSS or FSR 3), as shown in the last clip. The downside is that DLSS Frame Generation tends to show the same stuttery look as when the frame rate isn’t holding a fixed target, likely due to Reflex keeping the frame rate slightly below target. FSR Frame Generation, on the other hand, looks much smoother and works better here.

In my previous post about the #Nioh3 demo, I mentioned that when the game isn’t consistently holding 60 FPS or 120 FPS, several issues can show up. Here’s a clearer breakdown of what's going on. The main reason is that the game speed and physics are tied to the frame rate. When you enable the 120 FPS cap, the engine start overreacting and pushes CPU usage very high, even if the game is still running at around 60 FPS (as shown in the first example). In the second clip, you can see the uneven, jittery camera movement I mentioned before. Notice how much smoother 60 FPS and 120 FPS look compared to the unlocked side. Also, camera movement at 60 FPS is slightly faster than at 120 FPS. In the third clip, player movement is slower when the frame rate is unlocked. This doesn’t happen all the time, but it shows up often enough to be noticeable. Because of how the Katana Engine behaves, the game is clearly designed around 60 FPS. Running at 120 FPS is possible, but it’s only recommended if your system can maintain that target almost all the time, which isn’t easy to achieve. There’s also an alternative workaround where you select the 60 (locked) option and enable Frame Generation (DLSS or FSR 3), as shown in the last clip. The downside is that DLSS Frame Generation tends to show the same stuttery look as when the frame rate isn’t holding a fixed target, likely due to Reflex keeping the frame rate slightly below target. FSR Frame Generation, on the other hand, looks much smoother and works better here.

BenchmarKing

17,820 görüntüleme • 5 ay önce

Culture is genetic because behavior is genetic. This beaver never saw a dam in its life. No beavers or anything else ever taught it to build a dam. It wants to build a dam because it is a beaver. Many beavers together build a big dam. That is beaver culture. Humans are not different. Nothing is different. This is what life is. This is how life works. Your body is your mind. A caterpillar wants to build a chrysalis. A bee wants to build a hive. A lion wants to build a pride. You are not special. You are not above your nature. you are INSIDE of it. The thoughts that we think are genetic thoughts. The crimes we commit are genetic crimes. The art we create is genetic art. Just like this beaver, you can give the animal different sticks and it will build a different dam, but it will always build a dam. And you can give humans different "education," but the human will always use it to do what its genes tell it to do. This is the first big answer that you need. This is the biggest piece of the puzzle. This is how to understand people 90% of the way. You just... notice what they do, and get out of the way, and watch them do it. And if they need sticks, you give them sticks. And if you don't like what they do, you have to get away from them. You cannot train dam-building into them or out of them any more than you can with a beaver. A beaver wants to build a dam because it is a beaver. Whatever you see people build, that's what they wanted to build from the sticks they got in the river they were in. Stop pretending you can change it.

Culture is genetic because behavior is genetic. This beaver never saw a dam in its life. No beavers or anything else ever taught it to build a dam. It wants to build a dam because it is a beaver. Many beavers together build a big dam. That is beaver culture. Humans are not different. Nothing is different. This is what life is. This is how life works. Your body is your mind. A caterpillar wants to build a chrysalis. A bee wants to build a hive. A lion wants to build a pride. You are not special. You are not above your nature. you are INSIDE of it. The thoughts that we think are genetic thoughts. The crimes we commit are genetic crimes. The art we create is genetic art. Just like this beaver, you can give the animal different sticks and it will build a different dam, but it will always build a dam. And you can give humans different "education," but the human will always use it to do what its genes tell it to do. This is the first big answer that you need. This is the biggest piece of the puzzle. This is how to understand people 90% of the way. You just... notice what they do, and get out of the way, and watch them do it. And if they need sticks, you give them sticks. And if you don't like what they do, you have to get away from them. You cannot train dam-building into them or out of them any more than you can with a beaver. A beaver wants to build a dam because it is a beaver. Whatever you see people build, that's what they wanted to build from the sticks they got in the river they were in. Stop pretending you can change it.

hoe_math = PsychoMath

1,189,466 görüntüleme • 10 ay önce

Chamath: Anthropic's Mythos Warning Is Theater @jason: “Chamath, is it the Boy who Cried Wolf, or is this the real deal now?” Chamath Palihapitiya: “I think it's mostly theater. In February of 2019 when Dario was still at OpenAI, they did the same thing with GPT-2. That was a 1.5 billion parameter model, which sounds like a total fart in the wind in 2026. But at that time, this model was supposed to be the end of days. And at the end of it, it was a huge nothingburger. If you actually think that Mythos is capable of doing what it says it can do, two things are true. One is, a very sophisticated hacker can probably do those things right now with Opus. And two, if these exploits are this easy to find, whether you use Opus or whether you use Mythos, the reality is you'd have to shut down the internet for about five years to patch them all. So when you see a large multi-trillion dollar GSIB bank, it's a bit of theater. Why? What do you think they can actually accomplish in two months? Do you actually think that if there's these vulnerabilities, it's all going to get fixed? Let's give them six months, let's give them nine months. So I do think that Sacks is right, that they have figured out a very clever go-to-market muscle here that activates hyper attention and hyper usage, and so I give them tremendous credit. But we've seen it before, we saw it when these folks were the principal architects at OpenAI, and we're now seeing the same playbook here. The reality is that capitalism moves forward, the funding needs moves forward, and the need for these guys to build adoption moves forward. And that's going to supersede what this is.”

Chamath: Anthropic's Mythos Warning Is Theater @jason: “Chamath, is it the Boy who Cried Wolf, or is this the real deal now?” Chamath Palihapitiya: “I think it's mostly theater. In February of 2019 when Dario was still at OpenAI, they did the same thing with GPT-2. That was a 1.5 billion parameter model, which sounds like a total fart in the wind in 2026. But at that time, this model was supposed to be the end of days. And at the end of it, it was a huge nothingburger. If you actually think that Mythos is capable of doing what it says it can do, two things are true. One is, a very sophisticated hacker can probably do those things right now with Opus. And two, if these exploits are this easy to find, whether you use Opus or whether you use Mythos, the reality is you'd have to shut down the internet for about five years to patch them all. So when you see a large multi-trillion dollar GSIB bank, it's a bit of theater. Why? What do you think they can actually accomplish in two months? Do you actually think that if there's these vulnerabilities, it's all going to get fixed? Let's give them six months, let's give them nine months. So I do think that Sacks is right, that they have figured out a very clever go-to-market muscle here that activates hyper attention and hyper usage, and so I give them tremendous credit. But we've seen it before, we saw it when these folks were the principal architects at OpenAI, and we're now seeing the same playbook here. The reality is that capitalism moves forward, the funding needs moves forward, and the need for these guys to build adoption moves forward. And that's going to supersede what this is.”

The All-In Podcast

220,049 görüntüleme • 2 ay önce

From International Space Station, we have a unique vantage point to observe lightning storms from directly above them. Much like from the ground, they appear as rapid, intense flashes that are over as quickly as they started. But, with the help of handheld cameras and a bit of practice (and, admittedly, some luck), we can capture these intense flashes with a very high frame rate then slow them down to see how the lightning propagates. It's lightning, in slow motion. This is one that occurred over Indonesia on 6/28. I shot it for a half second at 1/120 frame rate, so, 60 separate frames. I then compiled those frames into two videos: the first, in real-time, and the second, slowed down so that each frame is a half second to highlight the progression of the flash. Note the incredible burst of light in one frame, which includes what is likely a TLE on the upper left. A TLE, or Transient Luminous Event, is an electrical discharge that happens in the upper atmosphere above lightning storms (if you haven’t seen Nichole “Vapor” Ayers TLE photo from last week, head over to her page). As their name implies, these are transient, or short lived, phenomena – it appeared in only one frame of the sequence, lasting for no more than 1/120th of a second. The last photo is that single frame. Absolutely incredible.

From International Space Station, we have a unique vantage point to observe lightning storms from directly above them. Much like from the ground, they appear as rapid, intense flashes that are over as quickly as they started. But, with the help of handheld cameras and a bit of practice (and, admittedly, some luck), we can capture these intense flashes with a very high frame rate then slow them down to see how the lightning propagates. It's lightning, in slow motion. This is one that occurred over Indonesia on 6/28. I shot it for a half second at 1/120 frame rate, so, 60 separate frames. I then compiled those frames into two videos: the first, in real-time, and the second, slowed down so that each frame is a half second to highlight the progression of the flash. Note the incredible burst of light in one frame, which includes what is likely a TLE on the upper left. A TLE, or Transient Luminous Event, is an electrical discharge that happens in the upper atmosphere above lightning storms (if you haven’t seen Nichole “Vapor” Ayers TLE photo from last week, head over to her page). As their name implies, these are transient, or short lived, phenomena – it appeared in only one frame of the sequence, lasting for no more than 1/120th of a second. The last photo is that single frame. Absolutely incredible.

COL Anne McClain

77,215 görüntüleme • 1 yıl önce

There is a war happening right now. Not between nations. Not between armies. Between two gods. The old god is money. Controlled by transnational capital. Printed out of thin air. Valuable only because everyone believes it is. The new god is AI. And the difference between the two is the difference between freedom and slavery. With money you still have freedom. You can earn it. Spend it. Ignore it. With AI as god — a small elite controls the system that controls your attention. A microchip in your brain that tells you when to wake up. When to work. Who to love. And you obey because you believe it is the voice of God. That is the real transition happening. One god replacing another. And the war in the Middle East is just the surface.

There is a war happening right now. Not between nations. Not between armies. Between two gods. The old god is money. Controlled by transnational capital. Printed out of thin air. Valuable only because everyone believes it is. The new god is AI. And the difference between the two is the difference between freedom and slavery. With money you still have freedom. You can earn it. Spend it. Ignore it. With AI as god — a small elite controls the system that controls your attention. A microchip in your brain that tells you when to wake up. When to work. Who to love. And you obey because you believe it is the voice of God. That is the real transition happening. One god replacing another. And the war in the Middle East is just the surface.

Predictive History

17,570 görüntüleme • 1 ay önce

FOR THOSE WHO ARE CONFUSED… We experience TIME as a straight line, one moment after another, PAST TO PRESENT TO FUTURE. But that is only how it appears from inside the system. Beings in higher dimensions, what some call “ORACLES” OR “GODS,” do not experience time like this. They do not move through it. They observe it in its entirety. A closer analogy would be CHANNELS ON A SCREEN. What is playing on FOX and what is playing on CBS is not separate in existence, it is only separated by perspective. Both are happening at the same time, fully active, fully real. In the same way, what we call 1950 and what we call 2004 are not distant points moving away from each other. They are both present within the same total field of reality. From that level of awareness, nothing is being “waited on.” There is NO DELAY. There is only ACCESS. A shift of perception is all that is needed, like changing the channel. So if everything exists at once, then your FUTURE is not something that is coming toward you. It is something that already exists. The version of you 20 YEARS FROM NOW is already there. You have already CHOSEN THAT PATH, you have already GONE THROUGH WHAT COMES WITH IT, you have already LIVED THROUGH IT ALL. And what you are doing now is not creating it. You are MOVING THROUGH IT. Slowly remembering why you are there at all.

FOR THOSE WHO ARE CONFUSED… We experience TIME as a straight line, one moment after another, PAST TO PRESENT TO FUTURE. But that is only how it appears from inside the system. Beings in higher dimensions, what some call “ORACLES” OR “GODS,” do not experience time like this. They do not move through it. They observe it in its entirety. A closer analogy would be CHANNELS ON A SCREEN. What is playing on FOX and what is playing on CBS is not separate in existence, it is only separated by perspective. Both are happening at the same time, fully active, fully real. In the same way, what we call 1950 and what we call 2004 are not distant points moving away from each other. They are both present within the same total field of reality. From that level of awareness, nothing is being “waited on.” There is NO DELAY. There is only ACCESS. A shift of perception is all that is needed, like changing the channel. So if everything exists at once, then your FUTURE is not something that is coming toward you. It is something that already exists. The version of you 20 YEARS FROM NOW is already there. You have already CHOSEN THAT PATH, you have already GONE THROUGH WHAT COMES WITH IT, you have already LIVED THROUGH IT ALL. And what you are doing now is not creating it. You are MOVING THROUGH IT. Slowly remembering why you are there at all.

THE VOICE 🌹 🗣🎙🇺🇸🦅🌎⚓💜♠️CHRIST CONSCIOUSNESS

39,969 görüntüleme • 24 gün önce

Where is the triangle? Alex O'Connor thinks consciousness is the one thing materialism can't explain away and he has a deceptively simple argument for it. Close your eyes. Picture a triangle. You can see it. The shape, the angles, maybe even the colour. It's right there, vivid and undeniable. Now ask yourself: where is that triangle? According to Alex, this single question cuts to the heart of one of philosophy's oldest problems. A strict materialist, someone who believes everything in the universe reduces to physical matter has to say that triangle exists somewhere in the neurons of your brain. But if a neurosurgeon cracked open your skull right now, they wouldn't find a triangle anywhere inside. "If everything you experience is reducible to the material when I close my eyes and see a triangle, there really is a triangle there. I can see it. It's there. And I think well, where is that triangle? The materialist has to say it's reducible to just somewhere in your brain. But if I cut open your brain I'm not going to find a triangle inside of it." He anticipates the obvious pushback. When he raised this on YouTube, commenters pointed to computers as a counter-example: if you cut open a computer, you won't find the triangle it's displaying on screen either. But the hardware is still producing a real image on a real screen. Alex's response is that this analogy doesn't hold because the mind has no screen. There is no separate interface between the brain's processing and the experience of seeing. The brain is the computer and the screen. Which only deepens the mystery: somehow, purely physical processes are generating a first-person, subjective experience: colours, shapes and images that can't be located anywhere in physical space. "It's as if the computer itself somehow had a triangle in the computer's own first-person subjective experience. Like where is that triangle that you can picture in your head? Where the hell is it?" For Alex, consciousness isn't just another interesting puzzle in the philosophy of mind. It's the big objection to materialism. The thing that, once you sit with it, seems to demand that there is something more going on than matter arranged in clever ways. He points to something as ordinary as dreaming as a case in point. Every night you produce vivid images full scenes, faces, colours without any external input. An entire visual world conjured from nowhere. Where does it come from? Where does it go? "Even just when you have an average dream, it's fascinating to think what's going on there. You've got images in your head, you can close your eyes and you can picture things, you can see colours, you can see shapes in your head. Like where are those shapes?" The triangle thought experiment has a way of making this undeniable. It's not abstract. You can do it right now. And when you do, you run headfirst into the hard problem of consciousness: the gap between the physical description of the brain and the felt quality of experience that no amount of neuroscience has yet bridged. Whether you find Alex's argument convincing or not, the question it raises is genuine: how does purely physical matter give rise to the inner world we each inhabit a world of colours, shapes, memories, and dreams that exists nowhere except in the first person?

Where is the triangle? Alex O'Connor thinks consciousness is the one thing materialism can't explain away and he has a deceptively simple argument for it. Close your eyes. Picture a triangle. You can see it. The shape, the angles, maybe even the colour. It's right there, vivid and undeniable. Now ask yourself: where is that triangle? According to Alex, this single question cuts to the heart of one of philosophy's oldest problems. A strict materialist, someone who believes everything in the universe reduces to physical matter has to say that triangle exists somewhere in the neurons of your brain. But if a neurosurgeon cracked open your skull right now, they wouldn't find a triangle anywhere inside. "If everything you experience is reducible to the material when I close my eyes and see a triangle, there really is a triangle there. I can see it. It's there. And I think well, where is that triangle? The materialist has to say it's reducible to just somewhere in your brain. But if I cut open your brain I'm not going to find a triangle inside of it." He anticipates the obvious pushback. When he raised this on YouTube, commenters pointed to computers as a counter-example: if you cut open a computer, you won't find the triangle it's displaying on screen either. But the hardware is still producing a real image on a real screen. Alex's response is that this analogy doesn't hold because the mind has no screen. There is no separate interface between the brain's processing and the experience of seeing. The brain is the computer and the screen. Which only deepens the mystery: somehow, purely physical processes are generating a first-person, subjective experience: colours, shapes and images that can't be located anywhere in physical space. "It's as if the computer itself somehow had a triangle in the computer's own first-person subjective experience. Like where is that triangle that you can picture in your head? Where the hell is it?" For Alex, consciousness isn't just another interesting puzzle in the philosophy of mind. It's the big objection to materialism. The thing that, once you sit with it, seems to demand that there is something more going on than matter arranged in clever ways. He points to something as ordinary as dreaming as a case in point. Every night you produce vivid images full scenes, faces, colours without any external input. An entire visual world conjured from nowhere. Where does it come from? Where does it go? "Even just when you have an average dream, it's fascinating to think what's going on there. You've got images in your head, you can close your eyes and you can picture things, you can see colours, you can see shapes in your head. Like where are those shapes?" The triangle thought experiment has a way of making this undeniable. It's not abstract. You can do it right now. And when you do, you run headfirst into the hard problem of consciousness: the gap between the physical description of the brain and the felt quality of experience that no amount of neuroscience has yet bridged. Whether you find Alex's argument convincing or not, the question it raises is genuine: how does purely physical matter give rise to the inner world we each inhabit a world of colours, shapes, memories, and dreams that exists nowhere except in the first person?

Mateus — eu/acc 🇪🇺

12,267 görüntüleme • 3 ay önce

“What did you think of Lando being booed at race because people and I've seen it online as well say he doesn't deserve the title because McLaren favored him over his teammate. Do you think that's total nonsense?” Jacques Villeneuve: “That's a little bit ridiculous. When there was some booing in some races, that was embarrassing. You should never boo a driver that's clean, doesn't do anything dirty, on track is respectful, and on top of it is super fast. What's wrong with people? That was embarrassing. And, had it been that Piastri was a second a lap faster than him and somehow Lando was winning because a lot of things were happening, his car breaking down every time, then you could start thinking, okay, that's really not cool. That's not fair. But that wasn't the case. And in the second half, Norris has been faster right at the beginning as well, last year as well. So there's this whole middle of the season where Piastri was driving a lot better than Norris and was getting the points. Norris had an engine blowing up, not Piastri. And so those fans, they don't look at that either. You have to look at the whole picture, at the whole season. And suddenly if your favorite is starting to go backwards, you just got to bite the bullet and accept it. Your favorite is just going backwards. That doesn't mean that the other one is treated better or the other one is undeserving just because the one you're a fan of is not winning right now. That’s really wrong. If you're a fan of the sport, then you have to be a fan of the sport and understand when your driver is maybe not cutting it at this point in time, even though he was before and he will in the future again. It's all a question of timing. But that's the price we have to pay now with social media and how big F1 has become. It's very passionate. The people are passionate and once, you know, fans come from fanatism, you stop thinking, when you get in that mindset and it happens to all of us. You want something so much that you get attached and you cannot - it's hard to start seeing reality. So you will try to mold the reality to your thought process and if your champion is not winning then it cannot be his fault. It has to be something from the outside. It has to be the team destroying his chance or not favoring and so on and so on and so on. But there's nothing concrete behind those comments. It's pure fandom and it'll always be like this. And ultimately it's not a bad thing. You know drivers at that - sportsman at that level have to grow a thick skin. If not, you don't deserve to be there. You just have to have a thick skin because they're all very happy to get the compliments. They love it when it's just positive, but it gets balanced out with negatives and you need to be able to take and accept the negatives as well. It goes both ways. You cannot have the good. You just have to be a thick skin and know that it's part and parcels of what's going on. And in one month, it will be forgotten and maybe everything will change and it be the other driver that suddenly will be criticized and so on. So, it's just that's just the way it is.”

“What did you think of Lando being booed at race because people and I've seen it online as well say he doesn't deserve the title because McLaren favored him over his teammate. Do you think that's total nonsense?” Jacques Villeneuve: “That's a little bit ridiculous. When there was some booing in some races, that was embarrassing. You should never boo a driver that's clean, doesn't do anything dirty, on track is respectful, and on top of it is super fast. What's wrong with people? That was embarrassing. And, had it been that Piastri was a second a lap faster than him and somehow Lando was winning because a lot of things were happening, his car breaking down every time, then you could start thinking, okay, that's really not cool. That's not fair. But that wasn't the case. And in the second half, Norris has been faster right at the beginning as well, last year as well. So there's this whole middle of the season where Piastri was driving a lot better than Norris and was getting the points. Norris had an engine blowing up, not Piastri. And so those fans, they don't look at that either. You have to look at the whole picture, at the whole season. And suddenly if your favorite is starting to go backwards, you just got to bite the bullet and accept it. Your favorite is just going backwards. That doesn't mean that the other one is treated better or the other one is undeserving just because the one you're a fan of is not winning right now. That’s really wrong. If you're a fan of the sport, then you have to be a fan of the sport and understand when your driver is maybe not cutting it at this point in time, even though he was before and he will in the future again. It's all a question of timing. But that's the price we have to pay now with social media and how big F1 has become. It's very passionate. The people are passionate and once, you know, fans come from fanatism, you stop thinking, when you get in that mindset and it happens to all of us. You want something so much that you get attached and you cannot - it's hard to start seeing reality. So you will try to mold the reality to your thought process and if your champion is not winning then it cannot be his fault. It has to be something from the outside. It has to be the team destroying his chance or not favoring and so on and so on and so on. But there's nothing concrete behind those comments. It's pure fandom and it'll always be like this. And ultimately it's not a bad thing. You know drivers at that - sportsman at that level have to grow a thick skin. If not, you don't deserve to be there. You just have to have a thick skin because they're all very happy to get the compliments. They love it when it's just positive, but it gets balanced out with negatives and you need to be able to take and accept the negatives as well. It goes both ways. You cannot have the good. You just have to be a thick skin and know that it's part and parcels of what's going on. And in one month, it will be forgotten and maybe everything will change and it be the other driver that suddenly will be criticized and so on. So, it's just that's just the way it is.”

naenia ¹ ⁶³

29,833 görüntüleme • 6 ay önce

Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:

Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:

Mike

14,195 görüntüleme • 7 ay önce

OK SO FINALLY I have a means to show you what I have been saying for a while.......Watch this clip, share it, so people understand what we are saying here!!! In this Clip, JLR© is having a discussion with Watching the World , and we get to see that front door lock!! Here is what I have been saying.....The Front door is a material called EXPANDED METAL, YOU CAN SEE THROUGH IT. The Door IS a Security Door, that you would have to cut through with two locks. A Lock that can be unlocked via a key on the handle, and a DEADbolt lock that would be locked on the inside of the door. This PREVENTS someone from being able to attack you when you OPEN the HOUSE door that is inside it, and behind this screen door. That door only opens when that deadbolt is unlocked from inside! ALso notice we see NO damage to the door or frame in this video!!

OK SO FINALLY I have a means to show you what I have been saying for a while.......Watch this clip, share it, so people understand what we are saying here!!! In this Clip, JLR© is having a discussion with Watching the World , and we get to see that front door lock!! Here is what I have been saying.....The Front door is a material called EXPANDED METAL, YOU CAN SEE THROUGH IT. The Door IS a Security Door, that you would have to cut through with two locks. A Lock that can be unlocked via a key on the handle, and a DEADbolt lock that would be locked on the inside of the door. This PREVENTS someone from being able to attack you when you OPEN the HOUSE door that is inside it, and behind this screen door. That door only opens when that deadbolt is unlocked from inside! ALso notice we see NO damage to the door or frame in this video!!

Capt KEVman!!!

46,092 görüntüleme • 4 ay önce

$HOW THE HOLOGRAPHIC SIMULATION WORKS (Update 12/11/24) Your ‘reality’ is a holographic projection that comes from your own eyes that are not like camera lenses, but literally projection lenses. How it works is complex, but here is the actual science. There is no such thing as material matter. It takes energy to cast something into fully visible 'solid' form (still a hologram). So as shown in Kirlian photography (spectrography) that shows the aura of things, you can see that even if you cut part of a leaf away, there is still an energy you normally won't see with your eyes that casts out the 'solid' form of that thing within the simulation that clearly appears through the camera. That part of the leaf is "gone", yet the energy field of that shape is still there. See video below: 👉 The Phantom Leaf in Kirlian Photography. The phantom part of the leaf is the plasma body, or 'ghost' energy field, and the physical leaf is merely a holographic expression of what the thing should appear as. These two things, while totally integrated normally, are not dependent on each other to still exist. Ghosts that are disembodied still have their energetic light body essence; they just can't assemble the 'physical' part of it anymore. So they can't touch things, taste things, or experience life, all they can do now is watch it around them. That is, unless they go to the astral fields where they can materialize there, but those are artificial worlds the invader races have set up as honeypot traps for the disembodied to now produce loosh for them, just as they are doing to manifest beings here in the looking glass simulation. You built this simulation called a time matrix. Other fractals of your collective of Prime Creator (you can think of as bratty siblings) came along and set up a new simulation nested within this 'organic' one in order to trick you so they can harvest your energy. This is in the way of your light body power, as well as in using you to funnel vast wealth to them through taxes, taxes and more taxes. They also eat your kids (more taxes). The way the hologram is actually projected around you is through projector lenses we call our eyes we think allow us to ‘see’. In reality it is our pineal gland that sees and our eyes merely project our inclusion into the shared reality scape before us so others can see us. And while that might seem impossible to understand, this is how anything within the simulation materializes. Eyes are not camera lenses as touched on above. The optical lenses that stack up inside the pupil are the same convex-to-concave as projection lenses are arranged. They literally cannot 'see' something, they can only project images. In quantum science experiments, such as the Double Slit, it is proven that the aether does not materialize before you the simulation of molecular 'matter' unless the scientist is looking at the experiment. Then that experiment only functions according to the preconception of that particular scientist. The same test run by two different people reveals two different actions. That's because these are two different realities. Yours and theirs. We all live in our own unique worlds, and agree on things like 'leaves are green'. But in reality, my green might be your purple. It is a shared reality field made up of different but complimentary worlds. How you really see is through the 3rd eye pineal gland as mentioned earlier. Naturally the ancients knew this eons ago -now engraved, painted and depicted all across ancient Egypt-. It has the clear ability to see 360 degrees around you what it is you expect to see in that precise spot on earth because the spacetime fabric is holding the colors, shapes and outlines of every leaf and tree and blade of grass that is supposed to be "there" according to all the other people around you that are projecting the same image in the same designated spot, and because you are now looking in that direction, you can see it. Your pineal gland now sends that live image down to your heart with your own body now blended into that same picture where you weren't previously standing, because you don't actually have a body to 'stand' anywhere. The heart hears that signal, then reduces it to a song that pulsates out to all the aether microcrystals around you and suddenly your image will be imprinted or outlined in the air where the spacetime fabric holds your plasma field. The aether particles that hold this shape in the spacetime fabric are called X and Y bosons (also called W and Z bosons, depending on the white paper) that hold the square points within each pixel of the 'fabric' that Higgs bosons now light up according to where that leaf is supposed to be. The Higgs boson is YOUR projected holographic beam. At the same time your pineal gland sends the signal to the heart to alert the aether to your 'reality' of joining the shared reality field, now it also sends a signal through your optic nerve (optic fiber) that connects in a 45 degree angle from your pineal gland to your projector lenses and completes the 'solid' image of your body inside the spacetime fabric halo that's already there thanks to your heart. You are the Higgs boson science calls the god particle. What your eyes cast out before you is merely the holographic insertion of your own body as it interacts within the projection, making it seem like a solid, material version of your body now walking, and interacting with, the rest of the projected holograms as displayed by the spacetime fabric. In case you didn’t think the spacetime fabric is a ‘real’ thing, here is actual photographs taken of our invisible projector screens by scientists at CERN. Just because this is advanced holographic technology doesn't mean it cannot possibly work in such an unheard-of way. Remember, the spacetime fabric has to be triangulated, just like 3D holographic projections, in order for it to show you a fluid, 3D moving image. That triangulation is the X vector boson, the Y gauge boson and you, the Higgs boson. Three points of consciousness working together to project or 'insert' you into the holodeck. Like you, each fractal of Prime Creator around you are all projecting themselves into that shared field, so it makes it feel like this is a real-time, physical, place. But if you ask quantum physics if a falling tree makes a sound in the forest but no one is around to hear it, they will tell you not only does it not make a sound, the forest literally does not exist until a sentient being casts it into reality. The same can be said about you. Unless you are walking down that sidewalk, your shoes aren’t clicking, making a sound as your heels hit the pavement. Plus the pavement won’t even be there if you don’t project it into reality and no one else is around. You will learn that science takes an adamant stance that there is no such thing as static matter. All things blink on and off at a super-fast rate that cannot be detected by the eye. This is the cadence of the spacetime fabric known as the FLASHLINE SEQUENCE that operates on a shared ‘drum beat’ to keep the simulation harmonically tuned we call the Schumann Resonance, 7.83Hz rhythm. When you intend to ‘walk’, you flash onto one spacetime fabric screen, you flash off for a brief moment, then a few inches ahead of where you just were, you flash on a 'forward' screen, giving the illusion you are traveling. The fire plug isn’t moving, so it appears like you are walking past it, giving you the sensation of actually walking from A to B. Each pixel of each spacetime fabric, sandwiched on top of each other as many as millions of sheets per inch, have a vector or IP address within the simulation. So the X and Y bosons holding the space of that pixel can be triangulated by scalar positioning by a scientist from anywhere in the world. Every vector and gauge boson and every pixel can be mapped from any other point within the simulation. We have those IP addresses, and when a time craft wants to go somewhere else, their destination is one of those pixels that will act as the zero point of the craft where it will suddenly appear next. Like you, the craft never moves, it simply resonates with a different vibration that is ‘over there’. But like your video screen you’re looking at now, all things exist on the same sheet of glass, depending on which spacetime fabric you want to see. YOU cast yourself onto the spacetime fabric, otherwise your holographic ‘body’ simply doesn’t exist. And THAT is done by your intent. That is why you can manifest any reality you want to see, as described in ‘The Secret’. If you WANT to see a different, or better reality, you merely have to think of that reality until you find yourself there. For more on this topic, see my articles: 👉 MANIFESTING YOUR GOALS 👉 CASTING THE APOCOLYPSE 👉 CASTING A BETTER REALITY On X, to search for my articles, simply type in the name of the piece, enter one space, then from: & my username in parenthesis such as shown here: MANIFESTING YOUR GOALS (from:iontecs_pemf) Off-site, you can look up any of my writings by through this link below for my other more than 100 recent articles and many thousands of comments on X, regularly updated thanks to Justin This message will only be seen by your eyes if not shared, and if you want to reference this article again later, you will need to cut and paste it in your own notes off line, as it will surely be erased. This is the most accurate translation of these events I am aware of at this time.$

HOW THE HOLOGRAPHIC SIMULATION WORKS (Update 12/11/24) Your ‘reality’ is a holographic projection that comes from your own eyes that are not like camera lenses, but literally projection lenses. How it works is complex, but here is the actual science. There is no such thing as material matter. It takes energy to cast something into fully visible 'solid' form (still a hologram). So as shown in Kirlian photography (spectrography) that shows the aura of things, you can see that even if you cut part of a leaf away, there is still an energy you normally won't see with your eyes that casts out the 'solid' form of that thing within the simulation that clearly appears through the camera. That part of the leaf is "gone", yet the energy field of that shape is still there. See video below: 👉 The Phantom Leaf in Kirlian Photography. The phantom part of the leaf is the plasma body, or 'ghost' energy field, and the physical leaf is merely a holographic expression of what the thing should appear as. These two things, while totally integrated normally, are not dependent on each other to still exist. Ghosts that are disembodied still have their energetic light body essence; they just can't assemble the 'physical' part of it anymore. So they can't touch things, taste things, or experience life, all they can do now is watch it around them. That is, unless they go to the astral fields where they can materialize there, but those are artificial worlds the invader races have set up as honeypot traps for the disembodied to now produce loosh for them, just as they are doing to manifest beings here in the looking glass simulation. You built this simulation called a time matrix. Other fractals of your collective of Prime Creator (you can think of as bratty siblings) came along and set up a new simulation nested within this 'organic' one in order to trick you so they can harvest your energy. This is in the way of your light body power, as well as in using you to funnel vast wealth to them through taxes, taxes and more taxes. They also eat your kids (more taxes). The way the hologram is actually projected around you is through projector lenses we call our eyes we think allow us to ‘see’. In reality it is our pineal gland that sees and our eyes merely project our inclusion into the shared reality scape before us so others can see us. And while that might seem impossible to understand, this is how anything within the simulation materializes. Eyes are not camera lenses as touched on above. The optical lenses that stack up inside the pupil are the same convex-to-concave as projection lenses are arranged. They literally cannot 'see' something, they can only project images. In quantum science experiments, such as the Double Slit, it is proven that the aether does not materialize before you the simulation of molecular 'matter' unless the scientist is looking at the experiment. Then that experiment only functions according to the preconception of that particular scientist. The same test run by two different people reveals two different actions. That's because these are two different realities. Yours and theirs. We all live in our own unique worlds, and agree on things like 'leaves are green'. But in reality, my green might be your purple. It is a shared reality field made up of different but complimentary worlds. How you really see is through the 3rd eye pineal gland as mentioned earlier. Naturally the ancients knew this eons ago -now engraved, painted and depicted all across ancient Egypt-. It has the clear ability to see 360 degrees around you what it is you expect to see in that precise spot on earth because the spacetime fabric is holding the colors, shapes and outlines of every leaf and tree and blade of grass that is supposed to be "there" according to all the other people around you that are projecting the same image in the same designated spot, and because you are now looking in that direction, you can see it. Your pineal gland now sends that live image down to your heart with your own body now blended into that same picture where you weren't previously standing, because you don't actually have a body to 'stand' anywhere. The heart hears that signal, then reduces it to a song that pulsates out to all the aether microcrystals around you and suddenly your image will be imprinted or outlined in the air where the spacetime fabric holds your plasma field. The aether particles that hold this shape in the spacetime fabric are called X and Y bosons (also called W and Z bosons, depending on the white paper) that hold the square points within each pixel of the 'fabric' that Higgs bosons now light up according to where that leaf is supposed to be. The Higgs boson is YOUR projected holographic beam. At the same time your pineal gland sends the signal to the heart to alert the aether to your 'reality' of joining the shared reality field, now it also sends a signal through your optic nerve (optic fiber) that connects in a 45 degree angle from your pineal gland to your projector lenses and completes the 'solid' image of your body inside the spacetime fabric halo that's already there thanks to your heart. You are the Higgs boson science calls the god particle. What your eyes cast out before you is merely the holographic insertion of your own body as it interacts within the projection, making it seem like a solid, material version of your body now walking, and interacting with, the rest of the projected holograms as displayed by the spacetime fabric. In case you didn’t think the spacetime fabric is a ‘real’ thing, here is actual photographs taken of our invisible projector screens by scientists at CERN. Just because this is advanced holographic technology doesn't mean it cannot possibly work in such an unheard-of way. Remember, the spacetime fabric has to be triangulated, just like 3D holographic projections, in order for it to show you a fluid, 3D moving image. That triangulation is the X vector boson, the Y gauge boson and you, the Higgs boson. Three points of consciousness working together to project or 'insert' you into the holodeck. Like you, each fractal of Prime Creator around you are all projecting themselves into that shared field, so it makes it feel like this is a real-time, physical, place. But if you ask quantum physics if a falling tree makes a sound in the forest but no one is around to hear it, they will tell you not only does it not make a sound, the forest literally does not exist until a sentient being casts it into reality. The same can be said about you. Unless you are walking down that sidewalk, your shoes aren’t clicking, making a sound as your heels hit the pavement. Plus the pavement won’t even be there if you don’t project it into reality and no one else is around. You will learn that science takes an adamant stance that there is no such thing as static matter. All things blink on and off at a super-fast rate that cannot be detected by the eye. This is the cadence of the spacetime fabric known as the FLASHLINE SEQUENCE that operates on a shared ‘drum beat’ to keep the simulation harmonically tuned we call the Schumann Resonance, 7.83Hz rhythm. When you intend to ‘walk’, you flash onto one spacetime fabric screen, you flash off for a brief moment, then a few inches ahead of where you just were, you flash on a 'forward' screen, giving the illusion you are traveling. The fire plug isn’t moving, so it appears like you are walking past it, giving you the sensation of actually walking from A to B. Each pixel of each spacetime fabric, sandwiched on top of each other as many as millions of sheets per inch, have a vector or IP address within the simulation. So the X and Y bosons holding the space of that pixel can be triangulated by scalar positioning by a scientist from anywhere in the world. Every vector and gauge boson and every pixel can be mapped from any other point within the simulation. We have those IP addresses, and when a time craft wants to go somewhere else, their destination is one of those pixels that will act as the zero point of the craft where it will suddenly appear next. Like you, the craft never moves, it simply resonates with a different vibration that is ‘over there’. But like your video screen you’re looking at now, all things exist on the same sheet of glass, depending on which spacetime fabric you want to see. YOU cast yourself onto the spacetime fabric, otherwise your holographic ‘body’ simply doesn’t exist. And THAT is done by your intent. That is why you can manifest any reality you want to see, as described in ‘The Secret’. If you WANT to see a different, or better reality, you merely have to think of that reality until you find yourself there. For more on this topic, see my articles: 👉 MANIFESTING YOUR GOALS 👉 CASTING THE APOCOLYPSE 👉 CASTING A BETTER REALITY On X, to search for my articles, simply type in the name of the piece, enter one space, then from: & my username in parenthesis such as shown here: MANIFESTING YOUR GOALS (from:iontecs_pemf) Off-site, you can look up any of my writings by through this link below for my other more than 100 recent articles and many thousands of comments on X, regularly updated thanks to Justin This message will only be seen by your eyes if not shared, and if you want to reference this article again later, you will need to cut and paste it in your own notes off line, as it will surely be erased. This is the most accurate translation of these events I am aware of at this time.

W.R. Schock, QBD

205,718 görüntüleme • 1 yıl önce

Alan Watts on why meditation has no purpose: Alan Watts begins by explaining the first basic reason for meditation. It interrupts our constant internal monologue: "Now, obviously, if I talk all the time, I don't hear what anyone else has to say. And so in exactly the same way, if I think all the time, that is to say, if I talk to myself all the time, I don't have anything to think about except thoughts. And therefore, I'm living entirely in the world of symbols and am never in relationship with reality." But then Watts pivots to a deeper, more counterintuitive point: meditation, properly understood, has no purpose at all. He compares it to music and dancing: "When we make music, we don't do it in order to reach a certain point, such as the end of the composition. If that were the purpose of music, to get to the end of the piece then obviously the fastest players would be the best." The same applies to dance: "When we dance, we are not aiming to arrive at a particular place on the floor, as we would be if we were taking a journey. When we dance, the journey itself is the point. When we play music, the playing itself is the point." This is where Watts delivers his core insight about meditation: "Meditation is the discovery that the point of life is always arrived at in the immediate moment. And therefore, if you meditate for an ulterior motive, that is to say, to improve your mind, to improve your character, to be more efficient in life, you've got your eye on the future and you are not meditating." Watts argues the future is an illusion we chase at our own expense: "Because the future is a concept. It doesn't exist. As the proverb says, 'tomorrow never comes.' There is no such thing as tomorrow. There never will be. Because time is always now." He pushes back against how religion has framed contemplative practice: "Meditation is supposed to be fun. It's not something you do as a grim duty. The trouble with religion as we know it is that it is so mixed up with grim duties. We do it because it's good for you; it's a kind of self-punishment." Watts closes with what he calls the real essence of the practice: "It's a kind of digging the present. It's a kind of grooving with the eternal now and brings us into a state of peace where we can understand that the point of life. The place where it's at is simply here and now."

Alan Watts on why meditation has no purpose: Alan Watts begins by explaining the first basic reason for meditation. It interrupts our constant internal monologue: "Now, obviously, if I talk all the time, I don't hear what anyone else has to say. And so in exactly the same way, if I think all the time, that is to say, if I talk to myself all the time, I don't have anything to think about except thoughts. And therefore, I'm living entirely in the world of symbols and am never in relationship with reality." But then Watts pivots to a deeper, more counterintuitive point: meditation, properly understood, has no purpose at all. He compares it to music and dancing: "When we make music, we don't do it in order to reach a certain point, such as the end of the composition. If that were the purpose of music, to get to the end of the piece then obviously the fastest players would be the best." The same applies to dance: "When we dance, we are not aiming to arrive at a particular place on the floor, as we would be if we were taking a journey. When we dance, the journey itself is the point. When we play music, the playing itself is the point." This is where Watts delivers his core insight about meditation: "Meditation is the discovery that the point of life is always arrived at in the immediate moment. And therefore, if you meditate for an ulterior motive, that is to say, to improve your mind, to improve your character, to be more efficient in life, you've got your eye on the future and you are not meditating." Watts argues the future is an illusion we chase at our own expense: "Because the future is a concept. It doesn't exist. As the proverb says, 'tomorrow never comes.' There is no such thing as tomorrow. There never will be. Because time is always now." He pushes back against how religion has framed contemplative practice: "Meditation is supposed to be fun. It's not something you do as a grim duty. The trouble with religion as we know it is that it is so mixed up with grim duties. We do it because it's good for you; it's a kind of self-punishment." Watts closes with what he calls the real essence of the practice: "It's a kind of digging the present. It's a kind of grooving with the eternal now and brings us into a state of peace where we can understand that the point of life. The place where it's at is simply here and now."

Mateus — eu/acc 🇪🇺

13,102 görüntüleme • 2 ay önce

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

Deutsch Explains

72,455 görüntüleme • 1 yıl önce

In the words of your own experts "There is NO experiment to prove that the earth is in motion." You just choose to BELIEVE IT, as a direct result of the Copernican principle. 📍 Cool, but difficult thought process. Right? I mean, that's, that's essentially what's happening when you're on a plane. I mean, if you're throwing a ball up in the air and catching it on the plane, it's happening at a much smaller scale, right? Yeah. Yeah. I mean, you're flying at whatever, 600 miles an hour relative to the ground. Yeah. But it doesn't seem, but seem like it when you're sitting there. Yeah. And Einstein elevated that to a principle and said, if you're moving at, if you're not accelerating, you're just moving at a constant speed in a plane or now. I mean, that's essentially what we're doing now. We're. Moving around the sun effectively, constant speed, then you can't tell. So there's no experiment you can do. We could look at the decay of a radioactive nuclear, so some electricity and magnetism, or bounce a ball, have a pendulum, whatever it is, and there's no experiment you can do to tell you whether you're moving or not. Therefore, that concept has no meaning because you can't measure it. And that that's led Einstein to relativity. I'm gonna really drive this home for the last three minutes. Einstein, Hubble Hawking, Arthur Edington, you name 'em. You name 'em, Wolfgang Polly. They all explain. You can't prove that the earth is moving from the Earth. You cannot including stellar aberration. And they will tell you point blank that they can create a model for you that explains alleged parallax, which doesn't actually happen. Retrograde motion. Stellar aberration, all in a geocentric model with the earth stationary, and you cannot prove that it's spinning or revolving on the, the earth itself. It's impossible. Stephen Hawking in 2007 explained it quoting Einstein from his writings in special and general theory, relativity his paper on the combined two theories explaining that you cannot prove that the Earth is spinning. They choose to believe in the Copernican principle because they have a religion that triggers people because they, they think they hate religion. They, they hate God oftentimes. But that is a religion. It's a belief system built upon the doctrine of men void, of empirical, verifiable evidence, and in fact, contrary and antithetical to the actual evidence, despite what the evidence says. I just now read him point blank, say, it can never be disproven. We disregard that possibility because of the horror of a special and unique position. Right, and I have plenty of quotes here from Georis or Heliocentric explaining. You can never prove it. You can't prove that the Earth is STA or that the earth is not stationary. But we don't want to believe that because that would mean the Earth is special. So then what do we do? We go look out at the background distribution, the energy coming away from the earth that shows the Earth's in the center. So what do they do? They call it the axis of evil. Then they come up with a new idea. Well, oh, it does look like we're the center. But that must mean that no matter where you are in the universe, it would look like you're in the center or we're just in the center. That they don't want to say what it is because it has spiritual implications. It has philosophical ramifications. And that is that the earth had to be placed there. It has a special, unique position. They want you, they want to believe that there are a time spec of dust and ever expanding universe of nothingness for everything came from nothing and there's a preexisting energy. Let's not talk about that part. Oh, lightning struck al soup and all this nonsense and And you know why? That's a good question. Probably 'cause they're scared. Scared of like moral accountability, I would guess. But this is the point. This is the problem. It is portrayed as science and we're brainwashing, indoctrinated with this idea as if it is science and it's proven and it's not questionable when you actually go look behind the curtain. It's philosophy and they admit it. So I, that's why I gave specific quotes and it was walked past us. The crux of the whole issue. There is a philosophy that leads to atheism and nihilism and materialism portrayed onto the world as if it is in fact scientific fact. You can't prove that the earth is moving. If the earth is the ball that spins with the objectively isn't. We falsified it. Everything gives us the illusion.

In the words of your own experts "There is NO experiment to prove that the earth is in motion." You just choose to BELIEVE IT, as a direct result of the Copernican principle. 📍 Cool, but difficult thought process. Right? I mean, that's, that's essentially what's happening when you're on a plane. I mean, if you're throwing a ball up in the air and catching it on the plane, it's happening at a much smaller scale, right? Yeah. Yeah. I mean, you're flying at whatever, 600 miles an hour relative to the ground. Yeah. But it doesn't seem, but seem like it when you're sitting there. Yeah. And Einstein elevated that to a principle and said, if you're moving at, if you're not accelerating, you're just moving at a constant speed in a plane or now. I mean, that's essentially what we're doing now. We're. Moving around the sun effectively, constant speed, then you can't tell. So there's no experiment you can do. We could look at the decay of a radioactive nuclear, so some electricity and magnetism, or bounce a ball, have a pendulum, whatever it is, and there's no experiment you can do to tell you whether you're moving or not. Therefore, that concept has no meaning because you can't measure it. And that that's led Einstein to relativity. I'm gonna really drive this home for the last three minutes. Einstein, Hubble Hawking, Arthur Edington, you name 'em. You name 'em, Wolfgang Polly. They all explain. You can't prove that the earth is moving from the Earth. You cannot including stellar aberration. And they will tell you point blank that they can create a model for you that explains alleged parallax, which doesn't actually happen. Retrograde motion. Stellar aberration, all in a geocentric model with the earth stationary, and you cannot prove that it's spinning or revolving on the, the earth itself. It's impossible. Stephen Hawking in 2007 explained it quoting Einstein from his writings in special and general theory, relativity his paper on the combined two theories explaining that you cannot prove that the Earth is spinning. They choose to believe in the Copernican principle because they have a religion that triggers people because they, they think they hate religion. They, they hate God oftentimes. But that is a religion. It's a belief system built upon the doctrine of men void, of empirical, verifiable evidence, and in fact, contrary and antithetical to the actual evidence, despite what the evidence says. I just now read him point blank, say, it can never be disproven. We disregard that possibility because of the horror of a special and unique position. Right, and I have plenty of quotes here from Georis or Heliocentric explaining. You can never prove it. You can't prove that the Earth is STA or that the earth is not stationary. But we don't want to believe that because that would mean the Earth is special. So then what do we do? We go look out at the background distribution, the energy coming away from the earth that shows the Earth's in the center. So what do they do? They call it the axis of evil. Then they come up with a new idea. Well, oh, it does look like we're the center. But that must mean that no matter where you are in the universe, it would look like you're in the center or we're just in the center. That they don't want to say what it is because it has spiritual implications. It has philosophical ramifications. And that is that the earth had to be placed there. It has a special, unique position. They want you, they want to believe that there are a time spec of dust and ever expanding universe of nothingness for everything came from nothing and there's a preexisting energy. Let's not talk about that part. Oh, lightning struck al soup and all this nonsense and And you know why? That's a good question. Probably 'cause they're scared. Scared of like moral accountability, I would guess. But this is the point. This is the problem. It is portrayed as science and we're brainwashing, indoctrinated with this idea as if it is science and it's proven and it's not questionable when you actually go look behind the curtain. It's philosophy and they admit it. So I, that's why I gave specific quotes and it was walked past us. The crux of the whole issue. There is a philosophy that leads to atheism and nihilism and materialism portrayed onto the world as if it is in fact scientific fact. You can't prove that the earth is moving. If the earth is the ball that spins with the objectively isn't. We falsified it. Everything gives us the illusion.

Shane St Pierre

54,527 görüntüleme • 1 yıl önce

Zack Polanski, "The problem is chaining yourself to an economic system that is so fundamentally broken" "You don't get marks or points for just being good, a gold star for doing the basics, or even just under the necessary" "We are at this urgent moment in our history where the only thing that is acceptable is what is required" "What is required is to reduce our emissions, to invest in climate adaptation, to protect nature in one of the most nature depleted countries in the world" "And to make sure we're reinvigorating communities with the truth and putting them in charge" "What is the biggest tool we have?" "It is our shared humanity" "Tackling the cost of living crisis is the same solution as tackling the climate crisis" "It's so vital at this budget that we're cutting bills and taxing billionaires" "There's an implication that all of this is transactional, and the only thing people care about is the money in their pockets" "If you're struggling, that probably is the only thing you care about" "But for so many people, they care about the future of this planet. About clean air. Green spaces" "That when people go to work they have a shared sense of purpose, that it is meaningful and that they are contributing something to society" "We are in a crisis. Climate. Equality. Air pollution. Identity. All of these problems are all interlinked" "And it all comes down to our communities and our humanity"

Zack Polanski, "The problem is chaining yourself to an economic system that is so fundamentally broken" "You don't get marks or points for just being good, a gold star for doing the basics, or even just under the necessary" "We are at this urgent moment in our history where the only thing that is acceptable is what is required" "What is required is to reduce our emissions, to invest in climate adaptation, to protect nature in one of the most nature depleted countries in the world" "And to make sure we're reinvigorating communities with the truth and putting them in charge" "What is the biggest tool we have?" "It is our shared humanity" "Tackling the cost of living crisis is the same solution as tackling the climate crisis" "It's so vital at this budget that we're cutting bills and taxing billionaires" "There's an implication that all of this is transactional, and the only thing people care about is the money in their pockets" "If you're struggling, that probably is the only thing you care about" "But for so many people, they care about the future of this planet. About clean air. Green spaces" "That when people go to work they have a shared sense of purpose, that it is meaningful and that they are contributing something to society" "We are in a crisis. Climate. Equality. Air pollution. Identity. All of these problems are all interlinked" "And it all comes down to our communities and our humanity"

Farrukh

205,089 görüntüleme • 7 ay önce