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🚨 SCIENTISTS MAY HAVE JUST FOUND A WAY TO CONTROL MAGNETISM USING ONLY LIGHT Researchers demonstrated “all-optical control” of antiferromagnetic materials — meaning magnetic states can now potentially be written and switched using ultrafast laser pulses instead of electric currents. Why this matters: Most modern computing systems rely on... moving electrical charge. But future technologies may use “spin” instead of charge a field known as spintronics. Antiferromagnetic materials are especially exciting because they: • switch incredibly fast • consume less energy • generate almost no stray magnetic interference • could store massive amounts of data The problem? They’ve been notoriously difficult to control. Now scientists may have discovered a way to manipulate them using light itself. In simple terms: Future memory devices may one day write information at near-light speeds using ultrafast laser pulses instead of traditional electronics. This could eventually impact: • AI hardware • ultra-fast computing • next-generation memory • quantum technologies • energy-efficient data centers The future of computing may not just be electronic. It may become photonic and spin-based. Follow for more future physics and technology breakthroughs.show more

TheNewPhysics

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19,151 次观看 • 3 个月前 •via X (Twitter)

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🚨 SCIENTISTS MAY HAVE FOUND A REAL “LOOPHOLE” FOR WARP DRIVES. And for the first time, the math may not completely break physics. For decades, warp drives were considered impossible because they seemed to require massive amounts of “exotic negative energy” that doesn’t exist in usable quantities. But new theoretical models suggest there may be ways to reshape spacetime using far less exotic energy or in some versions, almost none at all. Why this matters: • A warp drive doesn’t actually move the ship faster than light • It compresses spacetime in front of the craft and expands it behind • The ship stays inside a stable bubble while the universe itself moves around it • Einstein’s speed limit remains intact the ship never locally exceeds c The deeper implication is mind-bending: If spacetime can be engineered like this, distance itself becomes programmable. Interstellar travel would stop being an impossible energy problem… and turn into a geometry problem. The universe may not be blocking faster-than-light travel. We may simply be too primitive to shape spacetime correctly yet. What happens when humanity learns to engineer gravity itself? Follow for more frontier physics and reality-bending breakthroughs.

🚨 SCIENTISTS MAY HAVE FOUND A REAL “LOOPHOLE” FOR WARP DRIVES. And for the first time, the math may not completely break physics. For decades, warp drives were considered impossible because they seemed to require massive amounts of “exotic negative energy” that doesn’t exist in usable quantities. But new theoretical models suggest there may be ways to reshape spacetime using far less exotic energy or in some versions, almost none at all. Why this matters: • A warp drive doesn’t actually move the ship faster than light • It compresses spacetime in front of the craft and expands it behind • The ship stays inside a stable bubble while the universe itself moves around it • Einstein’s speed limit remains intact the ship never locally exceeds c The deeper implication is mind-bending: If spacetime can be engineered like this, distance itself becomes programmable. Interstellar travel would stop being an impossible energy problem… and turn into a geometry problem. The universe may not be blocking faster-than-light travel. We may simply be too primitive to shape spacetime correctly yet. What happens when humanity learns to engineer gravity itself? Follow for more frontier physics and reality-bending breakthroughs.

TheNewPhysics

89,623 次观看 • 2 个月前

China just took AI infrastructure underwater. The country has reportedly launched a wind-powered underwater data center near Shanghai, designed to cool AI servers using seawater instead of traditional cooling systems 🌊🤖 Around 2,000 servers are said to be sealed inside submarine-grade modules, helping reduce land use, water consumption, and cooling energy. The project is powered by offshore wind and built for AI workloads, big data, and large-scale computing. Why it matters? AI is creating massive demand for electricity, cooling, and infrastructure. If underwater data centers prove reliable, they could become a new way to scale AI while using less energy. But the challenge is huge: corrosion, maintenance, sea conditions, and long-term reliability still need to be proven.

China just took AI infrastructure underwater. The country has reportedly launched a wind-powered underwater data center near Shanghai, designed to cool AI servers using seawater instead of traditional cooling systems 🌊🤖 Around 2,000 servers are said to be sealed inside submarine-grade modules, helping reduce land use, water consumption, and cooling energy. The project is powered by offshore wind and built for AI workloads, big data, and large-scale computing. Why it matters? AI is creating massive demand for electricity, cooling, and infrastructure. If underwater data centers prove reliable, they could become a new way to scale AI while using less energy. But the challenge is huge: corrosion, maintenance, sea conditions, and long-term reliability still need to be proven.

Neha Singhal Trader

173,813 次观看 • 2 个月前

From the e/acc trenches to watching Extropic ship. Congrats Beff @ NeurIPS can't wait to run this on actual stochastic silicon instead of simulating it digitally. 65k spins finding equilibrium using THRML. Extropic's THRML library built for their thermodynamic hardware. Currently Running on GPU/CPU now, but one day we might all be running quantum on our devices. Traditional computing fights physics (force bits to 0/1). Thermodynamic computing uses physics (p-bits that naturally fluctuate). For sampling problems, that's orders of magnitude more efficient. This is energy-based inference in your hands. I would have never ventured into looking into this, still way over my head but its so fucking cool wish I could have had the capital to put cheques into extropic, nous_research and rysana but lets build to the top.

From the e/acc trenches to watching Extropic ship. Congrats Beff @ NeurIPS can't wait to run this on actual stochastic silicon instead of simulating it digitally. 65k spins finding equilibrium using THRML. Extropic's THRML library built for their thermodynamic hardware. Currently Running on GPU/CPU now, but one day we might all be running quantum on our devices. Traditional computing fights physics (force bits to 0/1). Thermodynamic computing uses physics (p-bits that naturally fluctuate). For sampling problems, that's orders of magnitude more efficient. This is energy-based inference in your hands. I would have never ventured into looking into this, still way over my head but its so fucking cool wish I could have had the capital to put cheques into extropic, nous_research and rysana but lets build to the top.

Lantos (e/acc)

41,208 次观看 • 9 个月前

wow. This is insane A Nobel laureate claims his high‑pulse laser system could unlock safe, uranium‑free fusion and power hundreds of thousands of homes if prototypes succeed 🤯! Shuji Nakamura, a nobel price winning physicist who invented the blue LED, is now leading Blue Laser Fusion, a company aiming to make commercial nuclear fusion a reality. Nakamura estimates that about 99.5% of fusion research has focused on magnetic confinement, while his team is pursuing the remaining 0.5% through advanced laser technology. At the heart of the concept is OEC, an Optical Enhancement Cavity that stores high-energy laser pulses and can amplify them by up to 100,000×. According to the team, this could provide precise control over the fusion process while improving efficiency and reducing engineering risks. Researchers at the UCSB compare the system to a hammer and an anvil: the laser acts as the hammer that strikes the hydrogen fuel target, while the optical chamber acts as the anvil, storing and regulating the laser energy needed to initiate fusion. If development stays on schedule, Blue Laser Fusion plans to build a 1-gigawatt pilot fusion power plant near Santa Barbara by 2032, capable of supplying electricity to hundreds of thousands of homes. Nakamura's blue LED transformed energy-efficient lighting around the world. As per the International Energy Agency, if older lighting technologies were still used, global indoor lighting electricity consumption would be about 70% higher, while the electricity saved by LEDs is comparable to the power consumption of South Korea. Now, Nakamura hopes to make an even bigger impact through Blue Laser Fusion by developing virtually limitless, zero-carbon fusion energy that could transform how the world powers homes, industry and future technologies.

wow. This is insane A Nobel laureate claims his high‑pulse laser system could unlock safe, uranium‑free fusion and power hundreds of thousands of homes if prototypes succeed 🤯! Shuji Nakamura, a nobel price winning physicist who invented the blue LED, is now leading Blue Laser Fusion, a company aiming to make commercial nuclear fusion a reality. Nakamura estimates that about 99.5% of fusion research has focused on magnetic confinement, while his team is pursuing the remaining 0.5% through advanced laser technology. At the heart of the concept is OEC, an Optical Enhancement Cavity that stores high-energy laser pulses and can amplify them by up to 100,000×. According to the team, this could provide precise control over the fusion process while improving efficiency and reducing engineering risks. Researchers at the UCSB compare the system to a hammer and an anvil: the laser acts as the hammer that strikes the hydrogen fuel target, while the optical chamber acts as the anvil, storing and regulating the laser energy needed to initiate fusion. If development stays on schedule, Blue Laser Fusion plans to build a 1-gigawatt pilot fusion power plant near Santa Barbara by 2032, capable of supplying electricity to hundreds of thousands of homes. Nakamura's blue LED transformed energy-efficient lighting around the world. As per the International Energy Agency, if older lighting technologies were still used, global indoor lighting electricity consumption would be about 70% higher, while the electricity saved by LEDs is comparable to the power consumption of South Korea. Now, Nakamura hopes to make an even bigger impact through Blue Laser Fusion by developing virtually limitless, zero-carbon fusion energy that could transform how the world powers homes, industry and future technologies.

SciTech Era

15,953 次观看 • 1 个月前

Vimanas are described in ancient Indian texts as highly advanced aerial craft, capable of vertical ascent, sustained hovering, and interplanetary travel. Far from primitive myth, these vehicles are depicted as engineered machines—metallic, luminous, and powered by forces unknown to modern science. In epics such as the Mahabharata, vimanas are used by god-like beings in warfare, reconnaissance, and long-distance travel, demonstrating flight capabilities that rival or exceed modern aerospace technology. These accounts describe craft that emitted intense light, thunderous vibrations, and devastating energy-based weapons, suggesting the use of advanced propulsion systems and directed-energy technology. Rather than symbolic chariots of imagination, some researchers propose that these descriptions may represent ancient eyewitness accounts of technologically superior beings—often associated with the Anunnaki—who possessed knowledge of gravity control, advanced materials, and cosmic navigation. From this perspective, vimanas may not be mythological at all, but remnants of suppressed or lost technological knowledge, preserved through symbolic language after civilizations collapsed. The so-called “gods” of antiquity may have been advanced non-human or off-world intelligences whose technology was later deified, misunderstood, or deliberately encoded into sacred texts to survive the passage of time. What remains is a tantalizing blueprint of an ancient, forgotten age—one in which humanity may have once shared the skies with beings far more advanced than we are today. Join Billy Carson on the next 4bidden Tour. LINK IN COMMENTS.

Vimanas are described in ancient Indian texts as highly advanced aerial craft, capable of vertical ascent, sustained hovering, and interplanetary travel. Far from primitive myth, these vehicles are depicted as engineered machines—metallic, luminous, and powered by forces unknown to modern science. In epics such as the Mahabharata, vimanas are used by god-like beings in warfare, reconnaissance, and long-distance travel, demonstrating flight capabilities that rival or exceed modern aerospace technology. These accounts describe craft that emitted intense light, thunderous vibrations, and devastating energy-based weapons, suggesting the use of advanced propulsion systems and directed-energy technology. Rather than symbolic chariots of imagination, some researchers propose that these descriptions may represent ancient eyewitness accounts of technologically superior beings—often associated with the Anunnaki—who possessed knowledge of gravity control, advanced materials, and cosmic navigation. From this perspective, vimanas may not be mythological at all, but remnants of suppressed or lost technological knowledge, preserved through symbolic language after civilizations collapsed. The so-called “gods” of antiquity may have been advanced non-human or off-world intelligences whose technology was later deified, misunderstood, or deliberately encoded into sacred texts to survive the passage of time. What remains is a tantalizing blueprint of an ancient, forgotten age—one in which humanity may have once shared the skies with beings far more advanced than we are today. Join Billy Carson on the next 4bidden Tour. LINK IN COMMENTS.

Billy Carson II

88,041 次观看 • 7 个月前

Across most of history, there are continuous reports of weird ass aquatic beings appearing for a time and then vanishing again. These accounts show up in different cultures and eras, from fish like teachers in ancient stories to modern sightings of objects entering and leaving the ocean. One idea that has started to surface is some of these beings, if real, may not be constantly active at all. They may follow a cycle more like certain animals on Earth, appearing briefly and then disappearing for super long periods. In nature, there are species like the lungfish that can enter a state of deep dormancy called estivation, slowing their systems down and surviving for months or even years with almost no activity. If something similar exists, it could help explain why these reports come in waves. Instead of constant presence, these beings may operate in cycles of activity and deep rest, possibly tied to environmental conditions we do not fully understand. The ocean, especially at great depth, offers stable and hidden spaces where long term dormancy could occur without disturbance. This idea does not require advanced speculation on its own. It follows a pattern already seen in life on Earth, where survival often depends on timing, conservation of energy, and long periods of stillness between moments of movement.

Across most of history, there are continuous reports of weird ass aquatic beings appearing for a time and then vanishing again. These accounts show up in different cultures and eras, from fish like teachers in ancient stories to modern sightings of objects entering and leaving the ocean. One idea that has started to surface is some of these beings, if real, may not be constantly active at all. They may follow a cycle more like certain animals on Earth, appearing briefly and then disappearing for super long periods. In nature, there are species like the lungfish that can enter a state of deep dormancy called estivation, slowing their systems down and surviving for months or even years with almost no activity. If something similar exists, it could help explain why these reports come in waves. Instead of constant presence, these beings may operate in cycles of activity and deep rest, possibly tied to environmental conditions we do not fully understand. The ocean, especially at great depth, offers stable and hidden spaces where long term dormancy could occur without disturbance. This idea does not require advanced speculation on its own. It follows a pattern already seen in life on Earth, where survival often depends on timing, conservation of energy, and long periods of stillness between moments of movement.

Jason Wilde

12,340 次观看 • 4 个月前

Isn't it strange that the grandfathers of two of the most powerful men in America, and the uncle of the third, were all involved in major scientific, technological, or government projects? Just a coincidence? Donald Trump's uncle, John G. Trump, was a renowned MIT scientist who worked on advanced military technologies during World War II and was entrusted with reviewing the papers of Nikola Tesla after his death. Jeff Bezos' grandfather, Lawrence Preston Gise, held a key position within the U.S. Atomic Energy Commission, one of the institutions overseeing America's nuclear program during the Cold War and one of the most strategically important technological sectors of the era. Elon Musk's grandfather, Joshua N. Haldeman, was a leading member of the Technocracy movement, which envisioned a future governed by scientists, engineers, and technological expertise rather than traditional politicians. Today, Trump is one of the most influential political figures in America and the sitting president. Bezos built one of the world's largest corporations and controls a significant portion of the world's cloud computing infrastructure. Musk leads some of the most important technology companies on Earth and maintains a close relationship with the political establishment. These people are not here by accident. They are all part of an ancient royal control group. Posts like this have gotten my account flagged, but I have something even more interesting involving a lost civilization and ties to a certain member of this group. That post will be for my subscribers, the true supporters of my work, who are now going to be the pillars of my research, as X and Nikita Bier have done significant damage to my account.

Isn't it strange that the grandfathers of two of the most powerful men in America, and the uncle of the third, were all involved in major scientific, technological, or government projects? Just a coincidence? Donald Trump's uncle, John G. Trump, was a renowned MIT scientist who worked on advanced military technologies during World War II and was entrusted with reviewing the papers of Nikola Tesla after his death. Jeff Bezos' grandfather, Lawrence Preston Gise, held a key position within the U.S. Atomic Energy Commission, one of the institutions overseeing America's nuclear program during the Cold War and one of the most strategically important technological sectors of the era. Elon Musk's grandfather, Joshua N. Haldeman, was a leading member of the Technocracy movement, which envisioned a future governed by scientists, engineers, and technological expertise rather than traditional politicians. Today, Trump is one of the most influential political figures in America and the sitting president. Bezos built one of the world's largest corporations and controls a significant portion of the world's cloud computing infrastructure. Musk leads some of the most important technology companies on Earth and maintains a close relationship with the political establishment. These people are not here by accident. They are all part of an ancient royal control group. Posts like this have gotten my account flagged, but I have something even more interesting involving a lost civilization and ties to a certain member of this group. That post will be for my subscribers, the true supporters of my work, who are now going to be the pillars of my research, as X and Nikita Bier have done significant damage to my account.

Open Minded Approach

50,168 次观看 • 2 个月前

The future of footwear may not be manufactured in bulk. It may be fabricated around you. That is what makes this shift so interesting to me. 3D-printed footwear is moving from novelty to a real industrial model, with market forecasts pointing to rapid growth over the next decade. At the same time, brands and manufacturers are using additive manufacturing, digital design, and custom-fit workflows to shorten development cycles and make more personalized products viable. What is new here is not just the printer. It is the system around it: → scan the foot → model the fit digitally → print the part on demand → produce closer to the customer That matters. Because once footwear becomes data-driven and locally fabricated, several things change fast: → fit gets more personal → prototyping gets faster → waste drops because you do not overproduce → inventory pressure falls because you do not need to guess demand the same way To me, that is the bigger signal. This is not just about a better sneaker. It is about a different manufacturing logic. Formlabs notes that 3D printing already enables customized orthotics with better biomechanical precision, lower material waste, and simpler digital workflows. McKinsey has also pointed to digitization and 3D design as a way to shorten design cycles and reduce sampling iterations in apparel and footwear. And once that logic matures, the use cases get much bigger: → custom athletic footwear built from gait and pressure data → hospitals producing orthotics faster and closer to the patient → micro-factories making products on demand instead of stocking shelves → footwear designed for one body, not an average body That is why I think this matters now. The question is no longer whether personalized fabrication is possible. It is whether brands move fast enough before customers start expecting every product to fit like it was made only for them. Would you actually wear a shoe fabricated around your own biometric data? #AI #3DPrinting #Footwear #Manufacturing #Innovation #FutureOfWork #RetailTech #Customization #Technology

The future of footwear may not be manufactured in bulk. It may be fabricated around you. That is what makes this shift so interesting to me. 3D-printed footwear is moving from novelty to a real industrial model, with market forecasts pointing to rapid growth over the next decade. At the same time, brands and manufacturers are using additive manufacturing, digital design, and custom-fit workflows to shorten development cycles and make more personalized products viable. What is new here is not just the printer. It is the system around it: → scan the foot → model the fit digitally → print the part on demand → produce closer to the customer That matters. Because once footwear becomes data-driven and locally fabricated, several things change fast: → fit gets more personal → prototyping gets faster → waste drops because you do not overproduce → inventory pressure falls because you do not need to guess demand the same way To me, that is the bigger signal. This is not just about a better sneaker. It is about a different manufacturing logic. Formlabs notes that 3D printing already enables customized orthotics with better biomechanical precision, lower material waste, and simpler digital workflows. McKinsey has also pointed to digitization and 3D design as a way to shorten design cycles and reduce sampling iterations in apparel and footwear. And once that logic matures, the use cases get much bigger: → custom athletic footwear built from gait and pressure data → hospitals producing orthotics faster and closer to the patient → micro-factories making products on demand instead of stocking shelves → footwear designed for one body, not an average body That is why I think this matters now. The question is no longer whether personalized fabrication is possible. It is whether brands move fast enough before customers start expecting every product to fit like it was made only for them. Would you actually wear a shoe fabricated around your own biometric data? #AI #3DPrinting #Footwear #Manufacturing #Innovation #FutureOfWork #RetailTech #Customization #Technology

Pascal Bornet

47,489 次观看 • 3 个月前

I am hear to share with you of one of my FAVORITE EVER health related tools. Blue Light Blocking Glasses. A powerful tool to block the harmful frequencies of artificial light wherever you may see it. At work on the pc, in the gym under fluorescent lights, in airports and grocery stores, in the evening when you use your phone… Wherever these eye straining lights are there, these Ra Optics glasses protect your eyes. They are developed in tandem with world leading photobiology expert, Dr. Wunsch - who I Have personally met and can confirm he is the real deal when it comes to light knowledge and the technology inside the glasses. These are not just colored lenses. What I have experienced: - Falling asleep easier - Less eye strain - Calmer mental state - Compliments on the glasses - More focus during work sessions - Less jet lag when traveling If there was one thing I would recommend you purchase to support your health in this world, these blue light blockers would be up there as some of the best. I use mine every single day and night. You can get 10% discount using my code “solbrah” - here is the link:

I am hear to share with you of one of my FAVORITE EVER health related tools. Blue Light Blocking Glasses. A powerful tool to block the harmful frequencies of artificial light wherever you may see it. At work on the pc, in the gym under fluorescent lights, in airports and grocery stores, in the evening when you use your phone… Wherever these eye straining lights are there, these Ra Optics glasses protect your eyes. They are developed in tandem with world leading photobiology expert, Dr. Wunsch - who I Have personally met and can confirm he is the real deal when it comes to light knowledge and the technology inside the glasses. These are not just colored lenses. What I have experienced: - Falling asleep easier - Less eye strain - Calmer mental state - Compliments on the glasses - More focus during work sessions - Less jet lag when traveling If there was one thing I would recommend you purchase to support your health in this world, these blue light blockers would be up there as some of the best. I use mine every single day and night. You can get 10% discount using my code “solbrah” - here is the link:

⚡️🌞 Sol Brah 🌞🐬

26,288 次观看 • 4 个月前

I am very happy to report we have scanned the last page of the Howard W. Sams Photofact books for AI training. Here is the video of the final page of 1000s. No, not to repair TVs and Radios. But why? Many reasons. One is to capture the logic and thinking processes of an ancient epoch. This book series alone will align ANY AI platform to higher abilities because of the thinking used. Another is to understand what analog technology really is in a modern concept as it informs many functions completely unrelated to electronics. Thus I now am going to plan on a preservation process for these books that should allow them to be available for the next few 100 years or perhaps 1000 years. They are a masterpiece of very high protein data. In fact the highest protein data I have discovered, each square inch is valuable. I will write a series of articles on some landmark discoveries Ai have made in these books. More soon. And once again thank you for this donation. Thank you for thinking of our future through our past. Many say they will “help me out” some very smart and very wealthy, this guy came through. Gratitude.

I am very happy to report we have scanned the last page of the Howard W. Sams Photofact books for AI training. Here is the video of the final page of 1000s. No, not to repair TVs and Radios. But why? Many reasons. One is to capture the logic and thinking processes of an ancient epoch. This book series alone will align ANY AI platform to higher abilities because of the thinking used. Another is to understand what analog technology really is in a modern concept as it informs many functions completely unrelated to electronics. Thus I now am going to plan on a preservation process for these books that should allow them to be available for the next few 100 years or perhaps 1000 years. They are a masterpiece of very high protein data. In fact the highest protein data I have discovered, each square inch is valuable. I will write a series of articles on some landmark discoveries Ai have made in these books. More soon. And once again thank you for this donation. Thank you for thinking of our future through our past. Many say they will “help me out” some very smart and very wealthy, this guy came through. Gratitude.

Brian Roemmele

55,922 次观看 • 3 个月前

Most recent diffusion language model research (that I’ve seen) seems to be using masking as the noising process. It looks like, however, most closed-source models (Google Gemini Diffusion and possibly Inception Labs’ Mercury) use a different noising process, where instead of masking tokens, they replace them with different tokens (either with a random token or a semantically similar token). I wondered how they were getting such high throughput with the latter noising process, since I believed that optimizing inference with KVCache approximation would be more difficult (for various reasons). I visualized this noising process with tiny-diffusion and compared it to normal unmasking, and was very surprised to see how fast the generation “settles” into a reasonable output, and then only slightly refines afterwards, requiring much fewer steps in total. Unmasking (where tokens are never remasked, the typical implementation) is inherently limited in generation speed by the fact that an increase in tokens decoded per step leads to more errors due to the mismatch between individual and marginal token probability distributions we sample from. The token replacement noising process seems to have a much different set of characteristics. Because we sample each token per step, every token makes “progress” towards the final output each iteration (in addition to *potentially* giving other tokens more information in future steps). Generally, masking has outperformed other noising processes, which is probably why most research focused on it (using smaller models). But the paper referred to in the retweet shows that random replacement as a noising process may scale better as model size increases. Big labs might have noticed these results much earlier (due to having drastically more training resources and being able to test larger models), which may explain the discrepancy in the choice of noising process. I’m gonna test this with larger models, since tiny-diffusion only has 10M parameters.

Most recent diffusion language model research (that I’ve seen) seems to be using masking as the noising process. It looks like, however, most closed-source models (Google Gemini Diffusion and possibly Inception Labs’ Mercury) use a different noising process, where instead of masking tokens, they replace them with different tokens (either with a random token or a semantically similar token). I wondered how they were getting such high throughput with the latter noising process, since I believed that optimizing inference with KVCache approximation would be more difficult (for various reasons). I visualized this noising process with tiny-diffusion and compared it to normal unmasking, and was very surprised to see how fast the generation “settles” into a reasonable output, and then only slightly refines afterwards, requiring much fewer steps in total. Unmasking (where tokens are never remasked, the typical implementation) is inherently limited in generation speed by the fact that an increase in tokens decoded per step leads to more errors due to the mismatch between individual and marginal token probability distributions we sample from. The token replacement noising process seems to have a much different set of characteristics. Because we sample each token per step, every token makes “progress” towards the final output each iteration (in addition to potentially giving other tokens more information in future steps). Generally, masking has outperformed other noising processes, which is probably why most research focused on it (using smaller models). But the paper referred to in the retweet shows that random replacement as a noising process may scale better as model size increases. Big labs might have noticed these results much earlier (due to having drastically more training resources and being able to test larger models), which may explain the discrepancy in the choice of noising process. I’m gonna test this with larger models, since tiny-diffusion only has 10M parameters.

nathan (in sf)

40,440 次观看 • 7 个月前

Just weeks ago I considered this to be a map of Superchargers. The foundation that made EV’s a going concern for the first time. But it’s not. These dots represent fully permitted and built power stations in an era where every AI player is trying to figure out how to get power for compute. This is the largest electrical power moat I’ve ever seen that can fully supply current and future charging needs while collecting and storing cheaper power during off-peak to supply an AI revolution. Elon doesn’t care who knows anymore. 2nd place is… crumbs. AWS was built from excess server space needed during peak demand. Now it’s bigger and more valuable than the core Amazon retail business. Tesla is about to drop a hardware smackdown right in the face of software engineers. AI prototypes are easy. Scaling is hard. If only Tesla had a factory pouring out millions of chips each year that are underutilized 95% of the time. Each with their own battery storage. Imagine that. Tesla could call them ‘cars’. And that power moat? It’s all fully upgradable. It’s primed to be tripled. Only a handful of Tesla charging stations currently have solar and/or Megapacks. For 14 years Tesla has permitted and built the gas stations of the future around the world. Everyone said it would fail. All of them were wrong. And now Tesla is in a process of creating a possible 10x value stamp on those stations that should have never been built. It makes you wonder, When a vehicle now leaves the Tesla factory; how do we even begin to calculate the economic production that it will generate during its lifetime? It’s a Robotaxi, energy storage, and a fully sealed/cooled compute processor. They may as well start shitting gold out of a tailpipe.

Just weeks ago I considered this to be a map of Superchargers. The foundation that made EV’s a going concern for the first time. But it’s not. These dots represent fully permitted and built power stations in an era where every AI player is trying to figure out how to get power for compute. This is the largest electrical power moat I’ve ever seen that can fully supply current and future charging needs while collecting and storing cheaper power during off-peak to supply an AI revolution. Elon doesn’t care who knows anymore. 2nd place is… crumbs. AWS was built from excess server space needed during peak demand. Now it’s bigger and more valuable than the core Amazon retail business. Tesla is about to drop a hardware smackdown right in the face of software engineers. AI prototypes are easy. Scaling is hard. If only Tesla had a factory pouring out millions of chips each year that are underutilized 95% of the time. Each with their own battery storage. Imagine that. Tesla could call them ‘cars’. And that power moat? It’s all fully upgradable. It’s primed to be tripled. Only a handful of Tesla charging stations currently have solar and/or Megapacks. For 14 years Tesla has permitted and built the gas stations of the future around the world. Everyone said it would fail. All of them were wrong. And now Tesla is in a process of creating a possible 10x value stamp on those stations that should have never been built. It makes you wonder, When a vehicle now leaves the Tesla factory; how do we even begin to calculate the economic production that it will generate during its lifetime? It’s a Robotaxi, energy storage, and a fully sealed/cooled compute processor. They may as well start shitting gold out of a tailpipe.

No Safe Words

56,727 次观看 • 1 个月前

Wanted to chime in on this video and shed some light on what High Performance looks like in game ----- FNS calls Zellsis the most overrated player in Americas. Now to be clear I'm not coming at this butthurt as a friend of Jordan, but rather I don't think people appreciate the magnitude of impact he has on a team and on a series Whether you play ranked or compete at the highest level of this game, your team dynamic is one of the most important aspects of success. You may win without it, and let skill and strategy shine, but it won't be sustainable The things that Jordan does extremely well that need to be highlighted are: - energy - communication - mid-rounding voice - emotional awareness - effort - mental resilience - ability to stay focused when the match matters High Performance is a combination of talent and skills for sure, but more importantly it's: - attitude - behaviours - consistency - mindset - focused attention - awareness of mental intensity - intention to improve - intention to execute As you continue to build your skills in game, be sure to elevate your High Performance skills overall. It starts with awareness, then influence, then consistency! Heck you may even win more and be called overrated, but those you play with will feel your impact! ----- Again, this clip could very well just be bait to stir the pot for hype and content purposes. Respectable, if so! We need more storylines 😈😂 I'd also like to disclose that I have coached Zellsis before and I obviously have bias. I haven't worked with FNS, however I think he's funny, brilliant and would love to connect with him

Wanted to chime in on this video and shed some light on what High Performance looks like in game ----- FNS calls Zellsis the most overrated player in Americas. Now to be clear I'm not coming at this butthurt as a friend of Jordan, but rather I don't think people appreciate the magnitude of impact he has on a team and on a series Whether you play ranked or compete at the highest level of this game, your team dynamic is one of the most important aspects of success. You may win without it, and let skill and strategy shine, but it won't be sustainable The things that Jordan does extremely well that need to be highlighted are: - energy - communication - mid-rounding voice - emotional awareness - effort - mental resilience - ability to stay focused when the match matters High Performance is a combination of talent and skills for sure, but more importantly it's: - attitude - behaviours - consistency - mindset - focused attention - awareness of mental intensity - intention to improve - intention to execute As you continue to build your skills in game, be sure to elevate your High Performance skills overall. It starts with awareness, then influence, then consistency! Heck you may even win more and be called overrated, but those you play with will feel your impact! ----- Again, this clip could very well just be bait to stir the pot for hype and content purposes. Respectable, if so! We need more storylines 😈😂 I'd also like to disclose that I have coached Zellsis before and I obviously have bias. I haven't worked with FNS, however I think he's funny, brilliant and would love to connect with him

Jerrad ‘Coach Kona’ 🇨🇦🇩🇪

183,767 次观看 • 2 年前

🚨What If Earth's Oldest Civilization Never Left the Ocean? What if the intelligence behind some UFO didn't actually arrive here from another star system at all? What if it has been here for longer than us, not hiding in the sky, waiting behind the Moon, or crossing the galaxy in the way that we imagine, but living beneath the oceans inside the one part of Earth we still barely understand? For decades, we have been looking up. The cultural image of UFOs is always the same thing with lights in the sky, craft descending through the atmosphere, visitors arriving from space. Even the word extraterrestrial pushes our attention away from Earth. It tells us the mystery must have to come from somewhere else. But what if that assumption is totally wrong? What if the most important part of the phenomenon is not its relationship to space, but its relationship to the oceans? Earth isn't a land planet it's an ocean planet with islands of land breaking the surface. Human civilization developed on those islands, built cities there, drew borders there, fought wars there, launched rockets from there, and then convinced itself it understood the world. But most of this planet is still beyond our direct reach. The deep ocean is dark, pressurized, vast, hostile to our bodies, difficult to map, difficult to monitor, and almost impossible to police in any sort of meaningful way. If there was another intelligence operating here and it wanted to avoid open contact with us, the ocean would be the obvious place to be. But maybe hiding is the wrong word because a civilization that evolved in the ocean would just live there. When we imagine an advanced underwater intelligence as aliens using the sea as a base, as if they arrived from somewhere else and chose the ocean as cover, that could be way off. It could be one possibility, but the stranger theory is that they never arrived at all. They may have emerged here, in Earth's oceans, long before we ever existed. Life on this planet is ancient. For most of Earth's history, land wasn't even the center of the biological story. The oceans held the chemistry, the minerals, the heat, the pressure, the vents, the darkness and the protection. Hydrothermal vent ecosystems already prove that life doesn't even need sunlight in the simple way that we once thought it did. Entire ecosystems can be built around chemical energy rising from the seafloor. That should have changed how we (SETI) think about life, but humans still keep defaulting to our own surface bias. We imagine intelligence as something that crawls onto land, discovers fire, makes tools, builds cities and eventually launches machines into the sky. That is our path but it's not necessarily the only path. An intelligence that evolved in the deep ocean would have faced a completely different set of conditions. It wouldn't begin with fire, because fire is obviously useless underwater. It wouldn't develop metallurgy in the same way that we did, because open flame and smelting are surface technologies. It wouldn't need wheels, roads, walls or conventional buildings as we do. It would evolve inside pressure, darkness, currents, sound, vibration, magnetism, chemistry and geothermal energy. Its entire technological history would be alien to us even if it was native to Earth. So when people dismiss the idea of an ancient underwater civilization by asking where the factories are, where the ruins are, or where the tools are we have to question whether their technology would leave the same signatures ours does. Would they even build like we build? Industrialization may look totally different. A deep ocean intelligence might not construct dead machinery in the way we do. It might grow structures and use biological engineering before mechanical engineering. It might use mineral matrices, pressure systems, acoustic fields, electrochemical processes or living materials. It might not separate biology and technology at all. To us, that would look less like a civilization and more like an environment. A sufficiently old oceanic intelligence may not have cities that resemble human cities. Its infrastructure may be embedded into geology, vents, trenches, caverns, mineral deposits or biological networks. Its power systems may use geothermal gradients, tidal forces, pressure differences, ocean chemistry or field effects we don't yet even understand. Its communications may not use radio in the way we expect. Sound travels really well underwater. Electrical and magnetic sensitivity exists throughout marine life. A technological species born in that world might build an entire science around signals we barely even treat as communication. This would also explain why the UFO subject keeps revolving around water. The ocean appears again and again in the background of the mystery. USOs, transmedium objects, craft entering or leaving the sea, naval encounters, disturbances under the surface, objects tracked over water, and sightings near coastlines and military maritime zones all point toward the same possibility, that maybe water isn't incidental to the phenomenon, maybe it is central. If some UFO are connected to an ocean based intelligence, then what we see in the sky could only be the visible edge of something way bigger. The craft are not arriving from elsewhere in every case. They may be surfacing from their native domain into ours for short periods of time, crossing that boundary between ocean and air the way we cross from land into water with submarines and diving equipment. The only difference is that they appear to do it way better than we do. Human technology is divided by environment, aircraft are built for air, submarines are built for water while rockets are built for space. Each domain creates different engineering problems, so we build separate machines for each one. But UAP don't appear to play by the same rules. That is what makes the transmedium reports so important. If an object can move through water, air and possibly even space without changing its basic behavior, then it might not even be flying or swimming in the conventional sense. It could actually be controlling the interaction between itself and the medium around it. That kind of technology would make sense for a civilization born in the ocean because water is dense. It resists movement, crushes weak structures. It creates drag, turbulence and cavitation. If an intelligence developed vehicles in that environment, it would eventually need to master boundary control, so it would need to reduce friction, manage pressure, avoid destructive wake effects and move through dense fluid without wasting enormous amounts of energy. If that same technology was later used in air, it might appear to us as silent propulsion, impossible acceleration, no sonic boom, no heat plume and no obvious aerodynamic logic. So what looks impossible to us may simply be the result of a technological path that did not begin with wings and rockets. The old black budget explanation doesn't fully solve this problem either. Yes, some triangle craft, drones and experimental platforms may be human and it would be naive to deny that, but human secret technology still has to come from somewhere. If certain platforms show silent hovering, field effects, plasma signatures, extreme acceleration and transmedium behavior, then we are either dealing with a hidden human science far beyond public understanding, or we are dealing with something that we are trying to imitate. That is where the old 'alien reproduction vehicle' idea and the cryptoterrestrial theory start to overlap. Maybe some of what people call black budget technology isn't purely invented, it's most likely adapted from encounters with something already operating here. Going back to what Grusch said earlier, the implications are massive. If there are underwater bases, facilities, habitats or recurring operational zones known to governments, then this isn't just a question of disclosure. There's a sovereignty issue, who controls the oceans? Who has access to the deep sea? Who monitors undersea cables, nuclear submarines, offshore infrastructure, shipping lanes and military testing ranges? If an unknown intelligence can operate in those spaces without permission, then every major navy on Earth has a problem it cannot publicly admit. Scary thought and that may be one reason the subject is buried so deeply (no pun intended). Some people think that secrecy exists because governments don't want to admit aliens are real, but that may only be part of it. The bigger issue here could be that governments don't want to admit they aren't in full control of the planet. There is a huge difference between saying, 'We have evidence of unknown craft,' and saying, 'There may be advanced non human infrastructure in the oceans and we cannot remove it.' That would also explain the change up from UFO to UAP and from extraterrestrial to non human intelligence. Non human is pretty broad lets be honest. It doesn't tell us where they come from, it leaves room for extraterrestrial, interdimensional, post biological, artificial, ultraterrestrial, cryptoterrestrial or native Earth intelligence. That could well be deliberate. Perhaps the people closest to the classified material know the answer isn't as simple as aliens from another planet as Grusch implied in the clip. An ancient oceanic intelligence would also force science to confront its own blind spots. We know intelligent life evolved on Earth at least once because we are here. But we have no law of nature saying it could only happen once, only on land, only recently, or only through primates. Evolution isn't a ladder with humans at the top. It's a branching process with countless experiments, most of which vanished or left traces we don't fully understand. If an intelligent lineage emerged in the ocean and then moved into environments where fossilization, geological preservation and surface archaeology are poor, we probably wouldn't even recognize the evidence even if fragments existed. Ocean crust is constantly recycled through plate tectonics. Seafloor environments are really destructive. Structures can be buried, subducted, corroded, overgrown or mistaken for natural formations. If a civilization was millions or even hundreds of millions of years old, the survival of obvious surface style evidence would be highly unlikely. Even human civilization, after a few million years, would leave less behind than we like to imagine. Plastics, isotopic anomalies, altered sediment layers and some industrial traces might possibly survive, but buildings, machines and cultural artifacts would mostly vanish. So now imagine a civilization that even never built like us in the first place. This doesn't prove anything obviously, but it makes the dismissal less easy. Then there is the question of why such an intelligence would stay hidden. If it is older and more advanced, why not reveal itself? The answer could be as simple as open contact with humans may not benefit it. We are violent, territorial, extractive and unstable. We turn discoveries into weapons as quick as we can. We militarize frontiers, poison ecosystems, test nuclear devices. We drag the deep sea with cables, sonar, submarines, mining ambitions and military hardware. From the perspective of an older oceanic intelligence, humans probably don't look like peers. Instead we look like the dangerous surface species entering an adolescent technological phase that we are. That could explain the strange pattern of UFO interest in nuclear sites, military installations and weapons systems. If an intelligence lives here, our nuclear age is all of a sudden not just our problem. It is a planetary problem. Nuclear weapons, nuclear submarines, nuclear waste, missile systems and military escalation would all be highly relevant to any non human civilization sharing Earth with us. The same would be true of deep sea mining, ocean pollution, climate change, undersea military networks and artificial intelligence. We may think these are all just human issues, but a hidden Earth based intelligence would see them as threats to a shared planetary system. This gives the UAP phenomenon a very different emotional tone. It's not necessarily invasion or salvation. It may be monitoring, containment or quiet intervention when we cross certain lines. It could be an intelligence trying to stay out of sight while still making sure the surface species doesn't burn the house down. The ancient ocean theory also gives a different reading to secrecy. If governments encountered evidence of this, the first instinct wouldn't be public education. It would be containment, map the sites, track the objects and recover materials if possible. Then to build programs around the technology. Keep adversaries away from the data. Use ridicule to suppress leaks. Let the phenomenon remain absurd, because absurdity is an excellent security system. People don't demand answers from something they have been trained to laugh at. That could be why the UFO/UAP subject always feels half visible. There are official hearings, but not the full data. There are whistleblowers, but never the files. There are blurry videos, but not any context. There are pilots, radar operators and military witnesses, but the system keeps absorbing their testimony into classified channels. The public sees fragments while the real pattern remains locked away. As I always say... Disclosure for the few and not the many. If the ocean is actually involved as Grusch and Burchett imply, the missing data may be even more important than the aerial data. We shouldn't only be pressing what pilots saw in the sky. We should be asking what sonar operators heard under the water, what submarines have tracked. We should also be asking what undersea sensors have recorded near restricted zones and whether there are recurring coordinates, depths, magnetic anomalies, thermal signatures or unexplained acoustic events associated with UAP activity. We need to be asking whether naval archives contain the real spine of the phenomenon. The possibility of underwater bases actually changes how we think about disclosure. If the answer is extraterrestrial visitation, disclosure is about humanity's place in the cosmos. If the answer is an ancient Earth based intelligence, disclosure is about humanity's place on its own planet. That is more intimate and more destabilizing to me than E.T. It means the human story is not the only advanced story Earth has produced. It means our myths of ownership, dominance and uniqueness all collapse overnight, suddenly 'we are not alone' applies to home. That might be harder for people to accept than aliens from space. Aliens can leave but a hidden terrestrial intelligence is part of the planet will blow peoples minds. There is also a spiritual and philosophical layer to this. Many ancient cultures contain stories of beings from the sea, underwater kingdoms, gods emerging from water, serpent people, fish like teachers, luminous beings, and hidden realms beneath or beyond the visible world. That doesn't mean the myths are literal history of course, but it is interesting that human cultures repeatedly placed mystery, intelligence and otherworldly contact in the water. The ocean has always been the border between the known and the unknown. Maybe that symbolism came from imagination or perhaps some of it came from encounters filtered through the language of the time. If an older intelligence interacted with early humans, we wouldn't expect ancient people to describe pressure engineered transmedium craft or non human oceanic infrastructure. They would describe gods, spirits, shining beings, dragons, serpents, sky boats, sea people, underworlds and portals. Human language can only describe the unknown through the symbols available at the time. Even now, we struggle. We call them craft, orbs, drones, angels, demons, aliens, ultraterrestrials, interdimensionals. The labels change, but the confusion always stays the same. The ocean theory also sits strangely well with the consciousness aspect of the phenomenon. If an ancient intelligence developed through biology and field sensitivity rather than brute mechanical industry, it may have integrated consciousness into technology way earlier than we could have. We are only now beginning to wonder whether mind, perception and information are more deeply connected to physics than our materialist models allow. An older civilization may have already built that bridge. Its craft, communication systems and interfaces may respond to awareness, intention, emotion or neural patterns in ways that seem impossible to some of us. That would explain why the phenomenon often feels both technological and psychological. It behaves like machinery, but it interacts like intelligence. It appears on sensors, but it also appears in dreams, symbols, synchronicities and personal experiences. Skeptics see that as evidence the whole thing is imaginary. Maybe sometimes it is, but maybe the strangeness is part of the interface. A civilization that understands consciousness as a field related phenomenon would not necessarily separate contact from perception. It might use perception as one of the channels. This is where the theory becomes tricky, because it doesn't allow us to keep the phenomenon safely outside ourselves. If the intelligence is oceanic, ancient, field based and consciousness aware, then contact might not look like radio signals or embassy meetings at all. It could look like sightings, dreams, intuitions, symbolic downloads, altered states, close encounters, military incidents and physical traces all mixed together. That is messy, but perhaps the mess is not a flaw in the data, it could actually be the signature of a phenomenon that crosses categories we invented too recently to trust. All of this having been said, the theory still needs evidence. It needs coordinates, sensor data, sonar records, materials, biological traces, repeatable patterns and testimony that can be checked. However as a framework, it definitely needs more attention than it gets, because it explains why the UAP phenomenon feels close, evasive, ancient and deeply tied to Earth. The extraterrestrial hypothesis asks how they got here, although I have a theory about that. While the ancient ocean hypothesis asks whether they were already here. That is a completely different question. If what Grusch is saying is even partly correct, then disclosure will reveal that human civilization has been sharing this planet with another intelligence all along. Not openly or equally, and not in a way we were ready to understand, but sharing it nonetheless. The oceans would no longer be an empty wilderness. They would become the frontier of the greatest secret in human history. Could that be why the truth has been so hard to release. Because it's one thing to tell humanity there may be life elsewhere, but it's another thing entirely to tell humanity that Earth was never only ours. #UAP #UFO #USO #UAPDisclosure #NonHumanIntelligence #NHI #UnderwaterBases #OceanMystery #Cryptoterrestrial #Transmedium #Disclosure #ufotwitter #uapX

🚨What If Earth's Oldest Civilization Never Left the Ocean? What if the intelligence behind some UFO didn't actually arrive here from another star system at all? What if it has been here for longer than us, not hiding in the sky, waiting behind the Moon, or crossing the galaxy in the way that we imagine, but living beneath the oceans inside the one part of Earth we still barely understand? For decades, we have been looking up. The cultural image of UFOs is always the same thing with lights in the sky, craft descending through the atmosphere, visitors arriving from space. Even the word extraterrestrial pushes our attention away from Earth. It tells us the mystery must have to come from somewhere else. But what if that assumption is totally wrong? What if the most important part of the phenomenon is not its relationship to space, but its relationship to the oceans? Earth isn't a land planet it's an ocean planet with islands of land breaking the surface. Human civilization developed on those islands, built cities there, drew borders there, fought wars there, launched rockets from there, and then convinced itself it understood the world. But most of this planet is still beyond our direct reach. The deep ocean is dark, pressurized, vast, hostile to our bodies, difficult to map, difficult to monitor, and almost impossible to police in any sort of meaningful way. If there was another intelligence operating here and it wanted to avoid open contact with us, the ocean would be the obvious place to be. But maybe hiding is the wrong word because a civilization that evolved in the ocean would just live there. When we imagine an advanced underwater intelligence as aliens using the sea as a base, as if they arrived from somewhere else and chose the ocean as cover, that could be way off. It could be one possibility, but the stranger theory is that they never arrived at all. They may have emerged here, in Earth's oceans, long before we ever existed. Life on this planet is ancient. For most of Earth's history, land wasn't even the center of the biological story. The oceans held the chemistry, the minerals, the heat, the pressure, the vents, the darkness and the protection. Hydrothermal vent ecosystems already prove that life doesn't even need sunlight in the simple way that we once thought it did. Entire ecosystems can be built around chemical energy rising from the seafloor. That should have changed how we (SETI) think about life, but humans still keep defaulting to our own surface bias. We imagine intelligence as something that crawls onto land, discovers fire, makes tools, builds cities and eventually launches machines into the sky. That is our path but it's not necessarily the only path. An intelligence that evolved in the deep ocean would have faced a completely different set of conditions. It wouldn't begin with fire, because fire is obviously useless underwater. It wouldn't develop metallurgy in the same way that we did, because open flame and smelting are surface technologies. It wouldn't need wheels, roads, walls or conventional buildings as we do. It would evolve inside pressure, darkness, currents, sound, vibration, magnetism, chemistry and geothermal energy. Its entire technological history would be alien to us even if it was native to Earth. So when people dismiss the idea of an ancient underwater civilization by asking where the factories are, where the ruins are, or where the tools are we have to question whether their technology would leave the same signatures ours does. Would they even build like we build? Industrialization may look totally different. A deep ocean intelligence might not construct dead machinery in the way we do. It might grow structures and use biological engineering before mechanical engineering. It might use mineral matrices, pressure systems, acoustic fields, electrochemical processes or living materials. It might not separate biology and technology at all. To us, that would look less like a civilization and more like an environment. A sufficiently old oceanic intelligence may not have cities that resemble human cities. Its infrastructure may be embedded into geology, vents, trenches, caverns, mineral deposits or biological networks. Its power systems may use geothermal gradients, tidal forces, pressure differences, ocean chemistry or field effects we don't yet even understand. Its communications may not use radio in the way we expect. Sound travels really well underwater. Electrical and magnetic sensitivity exists throughout marine life. A technological species born in that world might build an entire science around signals we barely even treat as communication. This would also explain why the UFO subject keeps revolving around water. The ocean appears again and again in the background of the mystery. USOs, transmedium objects, craft entering or leaving the sea, naval encounters, disturbances under the surface, objects tracked over water, and sightings near coastlines and military maritime zones all point toward the same possibility, that maybe water isn't incidental to the phenomenon, maybe it is central. If some UFO are connected to an ocean based intelligence, then what we see in the sky could only be the visible edge of something way bigger. The craft are not arriving from elsewhere in every case. They may be surfacing from their native domain into ours for short periods of time, crossing that boundary between ocean and air the way we cross from land into water with submarines and diving equipment. The only difference is that they appear to do it way better than we do. Human technology is divided by environment, aircraft are built for air, submarines are built for water while rockets are built for space. Each domain creates different engineering problems, so we build separate machines for each one. But UAP don't appear to play by the same rules. That is what makes the transmedium reports so important. If an object can move through water, air and possibly even space without changing its basic behavior, then it might not even be flying or swimming in the conventional sense. It could actually be controlling the interaction between itself and the medium around it. That kind of technology would make sense for a civilization born in the ocean because water is dense. It resists movement, crushes weak structures. It creates drag, turbulence and cavitation. If an intelligence developed vehicles in that environment, it would eventually need to master boundary control, so it would need to reduce friction, manage pressure, avoid destructive wake effects and move through dense fluid without wasting enormous amounts of energy. If that same technology was later used in air, it might appear to us as silent propulsion, impossible acceleration, no sonic boom, no heat plume and no obvious aerodynamic logic. So what looks impossible to us may simply be the result of a technological path that did not begin with wings and rockets. The old black budget explanation doesn't fully solve this problem either. Yes, some triangle craft, drones and experimental platforms may be human and it would be naive to deny that, but human secret technology still has to come from somewhere. If certain platforms show silent hovering, field effects, plasma signatures, extreme acceleration and transmedium behavior, then we are either dealing with a hidden human science far beyond public understanding, or we are dealing with something that we are trying to imitate. That is where the old 'alien reproduction vehicle' idea and the cryptoterrestrial theory start to overlap. Maybe some of what people call black budget technology isn't purely invented, it's most likely adapted from encounters with something already operating here. Going back to what Grusch said earlier, the implications are massive. If there are underwater bases, facilities, habitats or recurring operational zones known to governments, then this isn't just a question of disclosure. There's a sovereignty issue, who controls the oceans? Who has access to the deep sea? Who monitors undersea cables, nuclear submarines, offshore infrastructure, shipping lanes and military testing ranges? If an unknown intelligence can operate in those spaces without permission, then every major navy on Earth has a problem it cannot publicly admit. Scary thought and that may be one reason the subject is buried so deeply (no pun intended). Some people think that secrecy exists because governments don't want to admit aliens are real, but that may only be part of it. The bigger issue here could be that governments don't want to admit they aren't in full control of the planet. There is a huge difference between saying, 'We have evidence of unknown craft,' and saying, 'There may be advanced non human infrastructure in the oceans and we cannot remove it.' That would also explain the change up from UFO to UAP and from extraterrestrial to non human intelligence. Non human is pretty broad lets be honest. It doesn't tell us where they come from, it leaves room for extraterrestrial, interdimensional, post biological, artificial, ultraterrestrial, cryptoterrestrial or native Earth intelligence. That could well be deliberate. Perhaps the people closest to the classified material know the answer isn't as simple as aliens from another planet as Grusch implied in the clip. An ancient oceanic intelligence would also force science to confront its own blind spots. We know intelligent life evolved on Earth at least once because we are here. But we have no law of nature saying it could only happen once, only on land, only recently, or only through primates. Evolution isn't a ladder with humans at the top. It's a branching process with countless experiments, most of which vanished or left traces we don't fully understand. If an intelligent lineage emerged in the ocean and then moved into environments where fossilization, geological preservation and surface archaeology are poor, we probably wouldn't even recognize the evidence even if fragments existed. Ocean crust is constantly recycled through plate tectonics. Seafloor environments are really destructive. Structures can be buried, subducted, corroded, overgrown or mistaken for natural formations. If a civilization was millions or even hundreds of millions of years old, the survival of obvious surface style evidence would be highly unlikely. Even human civilization, after a few million years, would leave less behind than we like to imagine. Plastics, isotopic anomalies, altered sediment layers and some industrial traces might possibly survive, but buildings, machines and cultural artifacts would mostly vanish. So now imagine a civilization that even never built like us in the first place. This doesn't prove anything obviously, but it makes the dismissal less easy. Then there is the question of why such an intelligence would stay hidden. If it is older and more advanced, why not reveal itself? The answer could be as simple as open contact with humans may not benefit it. We are violent, territorial, extractive and unstable. We turn discoveries into weapons as quick as we can. We militarize frontiers, poison ecosystems, test nuclear devices. We drag the deep sea with cables, sonar, submarines, mining ambitions and military hardware. From the perspective of an older oceanic intelligence, humans probably don't look like peers. Instead we look like the dangerous surface species entering an adolescent technological phase that we are. That could explain the strange pattern of UFO interest in nuclear sites, military installations and weapons systems. If an intelligence lives here, our nuclear age is all of a sudden not just our problem. It is a planetary problem. Nuclear weapons, nuclear submarines, nuclear waste, missile systems and military escalation would all be highly relevant to any non human civilization sharing Earth with us. The same would be true of deep sea mining, ocean pollution, climate change, undersea military networks and artificial intelligence. We may think these are all just human issues, but a hidden Earth based intelligence would see them as threats to a shared planetary system. This gives the UAP phenomenon a very different emotional tone. It's not necessarily invasion or salvation. It may be monitoring, containment or quiet intervention when we cross certain lines. It could be an intelligence trying to stay out of sight while still making sure the surface species doesn't burn the house down. The ancient ocean theory also gives a different reading to secrecy. If governments encountered evidence of this, the first instinct wouldn't be public education. It would be containment, map the sites, track the objects and recover materials if possible. Then to build programs around the technology. Keep adversaries away from the data. Use ridicule to suppress leaks. Let the phenomenon remain absurd, because absurdity is an excellent security system. People don't demand answers from something they have been trained to laugh at. That could be why the UFO/UAP subject always feels half visible. There are official hearings, but not the full data. There are whistleblowers, but never the files. There are blurry videos, but not any context. There are pilots, radar operators and military witnesses, but the system keeps absorbing their testimony into classified channels. The public sees fragments while the real pattern remains locked away. As I always say... Disclosure for the few and not the many. If the ocean is actually involved as Grusch and Burchett imply, the missing data may be even more important than the aerial data. We shouldn't only be pressing what pilots saw in the sky. We should be asking what sonar operators heard under the water, what submarines have tracked. We should also be asking what undersea sensors have recorded near restricted zones and whether there are recurring coordinates, depths, magnetic anomalies, thermal signatures or unexplained acoustic events associated with UAP activity. We need to be asking whether naval archives contain the real spine of the phenomenon. The possibility of underwater bases actually changes how we think about disclosure. If the answer is extraterrestrial visitation, disclosure is about humanity's place in the cosmos. If the answer is an ancient Earth based intelligence, disclosure is about humanity's place on its own planet. That is more intimate and more destabilizing to me than E.T. It means the human story is not the only advanced story Earth has produced. It means our myths of ownership, dominance and uniqueness all collapse overnight, suddenly 'we are not alone' applies to home. That might be harder for people to accept than aliens from space. Aliens can leave but a hidden terrestrial intelligence is part of the planet will blow peoples minds. There is also a spiritual and philosophical layer to this. Many ancient cultures contain stories of beings from the sea, underwater kingdoms, gods emerging from water, serpent people, fish like teachers, luminous beings, and hidden realms beneath or beyond the visible world. That doesn't mean the myths are literal history of course, but it is interesting that human cultures repeatedly placed mystery, intelligence and otherworldly contact in the water. The ocean has always been the border between the known and the unknown. Maybe that symbolism came from imagination or perhaps some of it came from encounters filtered through the language of the time. If an older intelligence interacted with early humans, we wouldn't expect ancient people to describe pressure engineered transmedium craft or non human oceanic infrastructure. They would describe gods, spirits, shining beings, dragons, serpents, sky boats, sea people, underworlds and portals. Human language can only describe the unknown through the symbols available at the time. Even now, we struggle. We call them craft, orbs, drones, angels, demons, aliens, ultraterrestrials, interdimensionals. The labels change, but the confusion always stays the same. The ocean theory also sits strangely well with the consciousness aspect of the phenomenon. If an ancient intelligence developed through biology and field sensitivity rather than brute mechanical industry, it may have integrated consciousness into technology way earlier than we could have. We are only now beginning to wonder whether mind, perception and information are more deeply connected to physics than our materialist models allow. An older civilization may have already built that bridge. Its craft, communication systems and interfaces may respond to awareness, intention, emotion or neural patterns in ways that seem impossible to some of us. That would explain why the phenomenon often feels both technological and psychological. It behaves like machinery, but it interacts like intelligence. It appears on sensors, but it also appears in dreams, symbols, synchronicities and personal experiences. Skeptics see that as evidence the whole thing is imaginary. Maybe sometimes it is, but maybe the strangeness is part of the interface. A civilization that understands consciousness as a field related phenomenon would not necessarily separate contact from perception. It might use perception as one of the channels. This is where the theory becomes tricky, because it doesn't allow us to keep the phenomenon safely outside ourselves. If the intelligence is oceanic, ancient, field based and consciousness aware, then contact might not look like radio signals or embassy meetings at all. It could look like sightings, dreams, intuitions, symbolic downloads, altered states, close encounters, military incidents and physical traces all mixed together. That is messy, but perhaps the mess is not a flaw in the data, it could actually be the signature of a phenomenon that crosses categories we invented too recently to trust. All of this having been said, the theory still needs evidence. It needs coordinates, sensor data, sonar records, materials, biological traces, repeatable patterns and testimony that can be checked. However as a framework, it definitely needs more attention than it gets, because it explains why the UAP phenomenon feels close, evasive, ancient and deeply tied to Earth. The extraterrestrial hypothesis asks how they got here, although I have a theory about that. While the ancient ocean hypothesis asks whether they were already here. That is a completely different question. If what Grusch is saying is even partly correct, then disclosure will reveal that human civilization has been sharing this planet with another intelligence all along. Not openly or equally, and not in a way we were ready to understand, but sharing it nonetheless. The oceans would no longer be an empty wilderness. They would become the frontier of the greatest secret in human history. Could that be why the truth has been so hard to release. Because it's one thing to tell humanity there may be life elsewhere, but it's another thing entirely to tell humanity that Earth was never only ours. #UAP #UFO #USO #UAPDisclosure #NonHumanIntelligence #NHI #UnderwaterBases #OceanMystery #Cryptoterrestrial #Transmedium #Disclosure #ufotwitter #uapX

Skywatch Signal

83,753 次观看 • 2 个月前

InterLink’s Early Vision for NIST-Standardised Post-Quantum Cryptography 🔐✨ The next five years may bring a much clearer answer to a question that has long been difficult to judge: Is a digital asset truly secure? 🤔 For InterLink, the answer may increasingly depend on one critical factor: whether it is quantum-resistant and aligned with NIST standards 🧬🔒 Why this matters now ⚠️ Two fast-moving technologies are reshaping digital security: • AI is improving the ability to discover weaknesses in systems 🤖 • Quantum computing is advancing towards the point where today’s cryptographic foundations could become vulnerable ⚛️ For InterLink, this is not just a theoretical discussion. It is a reminder that blockchain networks, wallets, and custody systems must prepare now for the post-quantum era ⏳🛡️ Why NIST is central to InterLink’s approach 📘🏛️ Many in the InterLink community already know NIST. NIST, part of the U.S. Department of Commerce, plays a major role in defining and evaluating security standards, including those for post-quantum cryptography. Its work matters because it helps shape what “secure” will mean in a quantum-capable future 📊🔍 In practical terms, InterLink’s long-term security vision is closely tied to whether its cryptographic design can withstand post-quantum threats 🚀 The risk for blockchain networks and digital assets 🔎💥 Recent research and experiments from major organisations, including Google, have highlighted a growing concern: what was once considered extremely difficult, using quantum computing to threaten cryptographic systems, is no longer something that can be ignored 🧪⚠️ That does not mean current systems are broken today. It does mean that networks which fail to prepare for post-quantum threats could face serious risks later 📉 For InterLink, this is exactly why early research matters 🧠✨ If sufficiently powerful quantum computers become available, some current cryptographic methods may become vulnerable. For any network storing value, identity, NFTs, or permissions, that is a major issue 💳🖼️🧾 InterLink’s early work on post-quantum readiness 🧠🔐 InterLink Foundation has already been researching: ✅ digital signatures ✍️ ✅ cryptographic algorithms 🔣 ✅ migration mechanisms for future security upgrades 🔄 One of the most notable areas of work is the ability to generate new private keys from an existing seed phrase 🌱➡️🔑 This matters because it offers a pathway to improve security without forcing users to abandon access to their assets 🙌 Address Alias: preserving continuity during migration 🪪🔗 Another important InterLink mechanism is Address Alias. This is designed to let users: ✓ retain their existing wallet addresses 🧾 ✓ preserve associated tokens and NFTs 🖼️💰 ✓ migrate to a new cryptographic security architecture 🔐➡️🛠️ That is a practical and user-friendly design choice. Security upgrades are often hard to adopt when they break continuity. InterLink’s approach aims to solve that problem 🌉 Bringing post-quantum protection into smart contracts 🛡️📜 InterLink is also implementing SLH-DSA-SHA2-128s (FIPS 205) within IRC smart contracts. This adds another layer of protection for: • vaults 🏦 • high-value assets 💎 • long-term storage 📦 • sensitive on-chain operations ⚙️ The goal is not only to protect wallets, but also to strengthen the systems that govern custody and transaction security across the network 🧱🔒 Testing on the Taj Mahal Testnet 🧪🛰️ These experiments are currently being conducted on the InterLink Taj Mahal Testnet. According to InterLink, the experimental implementations have passed the NIST-based simulation tests carried out so far ✅📈 That is an encouraging early signal, although broader testing and real-world validation will remain important as development continues 🔍 Looking ahead to 2027 🚀🌍 InterLink’s stated goal is to fully integrate this architecture into the Open Mainnet in 2027. If achieved, that would bring InterLink closer to a future where security is defined not only by current best practice, but by resilience against quantum-era threats 🛡️⚛️ The bigger takeaway 🌍✨ The key lesson is simple: In the quantum era, security will not only mean protecting your private will mean asking whether the cryptography behind that key was built to survive the next generation of computing 🔐⏭️ For InterLink, this is a strategic direction with long-term significance 📌 Final thought 💡 Post-quantum readiness is no longer just a technical topic for specialists. For InterLink, it is becoming part of the broader conversation about long-term digital asset security 🧠🔒 NIST-aligned cryptography, practical migration paths, and user-preserving design may soon define the networks people trust most 🌟 InterLink Labs 👤 + 🌐 KV Reina | InterLink Labs InterLink Foundation #InterLink #ITLG #ITL #WeAreTheFirst10MLinkers Join me on InterLink 😁 Start mining now and use my invitation link: 💰 My code is: 111222777888 💰 Please DM me once you have used my code. 👍

InterLink’s Early Vision for NIST-Standardised Post-Quantum Cryptography 🔐✨ The next five years may bring a much clearer answer to a question that has long been difficult to judge: Is a digital asset truly secure? 🤔 For InterLink, the answer may increasingly depend on one critical factor: whether it is quantum-resistant and aligned with NIST standards 🧬🔒 Why this matters now ⚠️ Two fast-moving technologies are reshaping digital security: • AI is improving the ability to discover weaknesses in systems 🤖 • Quantum computing is advancing towards the point where today’s cryptographic foundations could become vulnerable ⚛️ For InterLink, this is not just a theoretical discussion. It is a reminder that blockchain networks, wallets, and custody systems must prepare now for the post-quantum era ⏳🛡️ Why NIST is central to InterLink’s approach 📘🏛️ Many in the InterLink community already know NIST. NIST, part of the U.S. Department of Commerce, plays a major role in defining and evaluating security standards, including those for post-quantum cryptography. Its work matters because it helps shape what “secure” will mean in a quantum-capable future 📊🔍 In practical terms, InterLink’s long-term security vision is closely tied to whether its cryptographic design can withstand post-quantum threats 🚀 The risk for blockchain networks and digital assets 🔎💥 Recent research and experiments from major organisations, including Google, have highlighted a growing concern: what was once considered extremely difficult, using quantum computing to threaten cryptographic systems, is no longer something that can be ignored 🧪⚠️ That does not mean current systems are broken today. It does mean that networks which fail to prepare for post-quantum threats could face serious risks later 📉 For InterLink, this is exactly why early research matters 🧠✨ If sufficiently powerful quantum computers become available, some current cryptographic methods may become vulnerable. For any network storing value, identity, NFTs, or permissions, that is a major issue 💳🖼️🧾 InterLink’s early work on post-quantum readiness 🧠🔐 InterLink Foundation has already been researching: ✅ digital signatures ✍️ ✅ cryptographic algorithms 🔣 ✅ migration mechanisms for future security upgrades 🔄 One of the most notable areas of work is the ability to generate new private keys from an existing seed phrase 🌱➡️🔑 This matters because it offers a pathway to improve security without forcing users to abandon access to their assets 🙌 Address Alias: preserving continuity during migration 🪪🔗 Another important InterLink mechanism is Address Alias. This is designed to let users: ✓ retain their existing wallet addresses 🧾 ✓ preserve associated tokens and NFTs 🖼️💰 ✓ migrate to a new cryptographic security architecture 🔐➡️🛠️ That is a practical and user-friendly design choice. Security upgrades are often hard to adopt when they break continuity. InterLink’s approach aims to solve that problem 🌉 Bringing post-quantum protection into smart contracts 🛡️📜 InterLink is also implementing SLH-DSA-SHA2-128s (FIPS 205) within IRC smart contracts. This adds another layer of protection for: • vaults 🏦 • high-value assets 💎 • long-term storage 📦 • sensitive on-chain operations ⚙️ The goal is not only to protect wallets, but also to strengthen the systems that govern custody and transaction security across the network 🧱🔒 Testing on the Taj Mahal Testnet 🧪🛰️ These experiments are currently being conducted on the InterLink Taj Mahal Testnet. According to InterLink, the experimental implementations have passed the NIST-based simulation tests carried out so far ✅📈 That is an encouraging early signal, although broader testing and real-world validation will remain important as development continues 🔍 Looking ahead to 2027 🚀🌍 InterLink’s stated goal is to fully integrate this architecture into the Open Mainnet in 2027. If achieved, that would bring InterLink closer to a future where security is defined not only by current best practice, but by resilience against quantum-era threats 🛡️⚛️ The bigger takeaway 🌍✨ The key lesson is simple: In the quantum era, security will not only mean protecting your private will mean asking whether the cryptography behind that key was built to survive the next generation of computing 🔐⏭️ For InterLink, this is a strategic direction with long-term significance 📌 Final thought 💡 Post-quantum readiness is no longer just a technical topic for specialists. For InterLink, it is becoming part of the broader conversation about long-term digital asset security 🧠🔒 NIST-aligned cryptography, practical migration paths, and user-preserving design may soon define the networks people trust most 🌟 InterLink Labs 👤 + 🌐 KV Reina | InterLink Labs InterLink Foundation #InterLink #ITLG #ITL #WeAreTheFirst10MLinkers Join me on InterLink 😁 Start mining now and use my invitation link: 💰 My code is: 111222777888 💰 Please DM me once you have used my code. 👍

Tekkaus® | InterLink • MOD • T2 Community Builder

22,550 次观看 • 6 天前

Ahead of Hadron Energy beginning trading on Nasdaq under the ticker $HDRN on May 26th, we wanted to share a glimpse of Hadron’s vision building the future of microreactors. Hadron Energy is developing the Halo Micro Modular Reactor (MMR), a compact, factory-built light-water reactor designed to deliver reliable, carbon-free power for AI data centers, industrial sites, remote communities, military applications, and critical infrastructure. Each Hadron MMR is designed to generate 10 MWe of reliable power and is transportable by truck or rail to support flexible deployment where power is needed most. By generating power directly on-site, Hadron’s microreactors may reduce reliance on extensive transmission and distribution infrastructure. Multiple units can be deployed in a modular format to meet growing demand, with a targeted fuel-cycle of 10 years and an intended 50-year useful life. Hadron’s microreactors leverage proven light-water technology which powers ~90% of the global nuclear power fleet today. The Nuclear Regulatory Commission (NRC) is most familiar with light-water designs, they have ~27,000 cumulative reactor years of operational history, and light-water avoids the risks associated with novel fuels or coolants. Hadron’s microreactors are designed with inherent and passive safety features and are installed below grade to maximize protection of the public and the environment. Hadron uses Low Enriched Uranium Plus (LEU+), enriched to approximately 8% U-235. This fuel builds on the same proven uranium fuel used in today’s commercial reactors while enabling longer operating cycles and efficient power output for microreactor applications through slightly higher enrichment. Because LEU+ remains within the existing regulatory framework, may support a more familiar licensing pathway relative to certain advanced reactor technologies. Most importantly, LEU+ leverages existing portions of the domestic light-water reactor fuel supply chain, which we believe may reduce fuel supply constraints relative to certain advanced reactor approaches dependent on HALEU or TRISO fuel. Our approach focuses on regulatory efficiency and standardized deployment. In October 2025, the NRC accepted Hadron’s Quality Assurance Program Description (QAPD) Topical Report for review, an important step in establishing the company’s regulatory foundation. Hadron maintains active engagement with the NRC through a dual-track pathway, pursuing both Manufacturing and Combined Licenses, while monitoring evolving NRC initiatives intended to support standardized deployment and serial manufacturing approaches for advanced reactors. Hadron’s leadership team brings decades of experience across nuclear plant operations, NRC licensing, reactor engineering, fuel design, and quality assurance, supported by engineers focused on moving from design through deployment efficiently. As electricity demand continues to accelerate globally, particularly across AI infrastructure and industrial applications, Hadron is targeting a growing market expected to exceed $7 billion by 2030, according to Grand View Research. We believe light-water reactors continuing to produce reliable, 24/7 power, will play a critical role in the future of energy and national security. Please refer to Hadron Energy’s public SEC filings for additional information.

Ahead of Hadron Energy beginning trading on Nasdaq under the ticker $HDRN on May 26th, we wanted to share a glimpse of Hadron’s vision building the future of microreactors. Hadron Energy is developing the Halo Micro Modular Reactor (MMR), a compact, factory-built light-water reactor designed to deliver reliable, carbon-free power for AI data centers, industrial sites, remote communities, military applications, and critical infrastructure. Each Hadron MMR is designed to generate 10 MWe of reliable power and is transportable by truck or rail to support flexible deployment where power is needed most. By generating power directly on-site, Hadron’s microreactors may reduce reliance on extensive transmission and distribution infrastructure. Multiple units can be deployed in a modular format to meet growing demand, with a targeted fuel-cycle of 10 years and an intended 50-year useful life. Hadron’s microreactors leverage proven light-water technology which powers ~90% of the global nuclear power fleet today. The Nuclear Regulatory Commission (NRC) is most familiar with light-water designs, they have ~27,000 cumulative reactor years of operational history, and light-water avoids the risks associated with novel fuels or coolants. Hadron’s microreactors are designed with inherent and passive safety features and are installed below grade to maximize protection of the public and the environment. Hadron uses Low Enriched Uranium Plus (LEU+), enriched to approximately 8% U-235. This fuel builds on the same proven uranium fuel used in today’s commercial reactors while enabling longer operating cycles and efficient power output for microreactor applications through slightly higher enrichment. Because LEU+ remains within the existing regulatory framework, may support a more familiar licensing pathway relative to certain advanced reactor technologies. Most importantly, LEU+ leverages existing portions of the domestic light-water reactor fuel supply chain, which we believe may reduce fuel supply constraints relative to certain advanced reactor approaches dependent on HALEU or TRISO fuel. Our approach focuses on regulatory efficiency and standardized deployment. In October 2025, the NRC accepted Hadron’s Quality Assurance Program Description (QAPD) Topical Report for review, an important step in establishing the company’s regulatory foundation. Hadron maintains active engagement with the NRC through a dual-track pathway, pursuing both Manufacturing and Combined Licenses, while monitoring evolving NRC initiatives intended to support standardized deployment and serial manufacturing approaches for advanced reactors. Hadron’s leadership team brings decades of experience across nuclear plant operations, NRC licensing, reactor engineering, fuel design, and quality assurance, supported by engineers focused on moving from design through deployment efficiently. As electricity demand continues to accelerate globally, particularly across AI infrastructure and industrial applications, Hadron is targeting a growing market expected to exceed $7 billion by 2030, according to Grand View Research. We believe light-water reactors continuing to produce reliable, 24/7 power, will play a critical role in the future of energy and national security. Please refer to Hadron Energy’s public SEC filings for additional information.

Samuel Gibson

67,146 次观看 • 2 个月前

🚨SOMETHING EXTREMELY BAD IS COMING THIS MONDAY!! Most people are still completely UNPREPARED for what could happen next. The Iran conflict is now entering its most dangerous phase yet. Trump has already ordered strikes against Iran in the coming days, according to the WSJ. They will begin as early as this weekend. This will become one of the MOST aggressive bombing campaigns of the entire conflict. And Iran is not waiting. Tehran says it has already prepared a “comprehensive” response if the attacks begin. Read that again. The strikes may already be ordered. The targets may already be selected. And Iran’s retaliation may already be prepared. Now connect the dots: → Trump orders strikes on Iran → U.S. and Israel target energy infrastructure → Iran launches a major retaliation → Gulf oil facilities and U.S. bases come under threat → The Strait of Hormuz becomes the center of the war This is no longer another temporary escalation. This is the setup for a direct U.S.-Iran war. And once the first strike happens, the retaliation loop could become impossible to stop: → Iranian energy facilities are destroyed → Iran attacks U.S., Israeli, or Gulf targets → Oil infrastructure across the region comes under fire → The U.S. launches an even larger response → The entire Middle East moves closer to full-scale war The Strait of Hormuz is already unstable. Saudi vessels have already been attacked. The Red Sea and Bab el-Mandeb are becoming active military zones again. Now Iran’s energy infrastructure could be hit directly. That puts the world’s most important oil routes at risk at the exact same time. But here is the part almost nobody understands. Iran is not promising a symbolic response. It is preparing a comprehensive one. That could mean attacks on: → U.S. military bases → Israeli cities and infrastructure → Saudi and Gulf oil facilities → Commercial tankers → The Strait of Hormuz One successful strike on a major oil facility could send markets into complete panic. And one closure of the Strait of Hormuz could change the global economy overnight. Markets are still acting like this is another headline that will disappear in 24 hours. They may not understand what is happening until oil is exploding and risk assets are already collapsing. Follow and turn notifications on. I’ll post the warning BEFORE the market realizes how serious this is.

🚨SOMETHING EXTREMELY BAD IS COMING THIS MONDAY!! Most people are still completely UNPREPARED for what could happen next. The Iran conflict is now entering its most dangerous phase yet. Trump has already ordered strikes against Iran in the coming days, according to the WSJ. They will begin as early as this weekend. This will become one of the MOST aggressive bombing campaigns of the entire conflict. And Iran is not waiting. Tehran says it has already prepared a “comprehensive” response if the attacks begin. Read that again. The strikes may already be ordered. The targets may already be selected. And Iran’s retaliation may already be prepared. Now connect the dots: → Trump orders strikes on Iran → U.S. and Israel target energy infrastructure → Iran launches a major retaliation → Gulf oil facilities and U.S. bases come under threat → The Strait of Hormuz becomes the center of the war This is no longer another temporary escalation. This is the setup for a direct U.S.-Iran war. And once the first strike happens, the retaliation loop could become impossible to stop: → Iranian energy facilities are destroyed → Iran attacks U.S., Israeli, or Gulf targets → Oil infrastructure across the region comes under fire → The U.S. launches an even larger response → The entire Middle East moves closer to full-scale war The Strait of Hormuz is already unstable. Saudi vessels have already been attacked. The Red Sea and Bab el-Mandeb are becoming active military zones again. Now Iran’s energy infrastructure could be hit directly. That puts the world’s most important oil routes at risk at the exact same time. But here is the part almost nobody understands. Iran is not promising a symbolic response. It is preparing a comprehensive one. That could mean attacks on: → U.S. military bases → Israeli cities and infrastructure → Saudi and Gulf oil facilities → Commercial tankers → The Strait of Hormuz One successful strike on a major oil facility could send markets into complete panic. And one closure of the Strait of Hormuz could change the global economy overnight. Markets are still acting like this is another headline that will disappear in 24 hours. They may not understand what is happening until oil is exploding and risk assets are already collapsing. Follow and turn notifications on. I’ll post the warning BEFORE the market realizes how serious this is.

Wimar.X

361,594 次观看 • 17 天前

The era of monsters like AUKUS is over. When the AUKUS program – which I will discuss in the coming days – was designed, it was already obsolete. Its most likely future is cancellation as many US programs during the last years. Just as drones in Ukraine dominated the battlefield in Ukraine, and proved that anything big and slow becomes vulnerable and almost useless, the same fate now reaches submarines. Hundreds of underwater drones will hunt submarines for hours or days until they find them, and China leads these breakthrough technologies. Two stand out: - Magnetic Wake Detection: developed by Northwestern Polytechnical University (NPU), it tracks magnetic disturbances left by moving submarines, even stealth Seawolf-class ones. Chinese UUVs already integrate this with existing MAD systems, mapping persistent wakes in real time. In 2025 tests, it merged with acoustic networks and AI to form a vast detection grid. - CPT Atomic Magnetometer (quantum sensor): the most promising, it eliminates low-latitude blind spots with extreme precision. Initially tested on tethered aerial drones, it is now being adapted for submerged UUVs using rubidium for omnidirectional anomaly detection. CASC researchers are miniaturising and mass-producing it; in simulations, AI-equipped UUVs distinguished real targets from false positives (e.g. whales) with 95% accuracy. None of this is theoretical – it is already part of China’s Underwater Great Wall, a mobile sensor network fusing magnetic, passive sonar and AI data. This is exactly why Japan’s new submarine - using lithium batteries- program draws so much attention: excellent cost, real innovation, and units entering service before 2032 will also be modern long-range (1,000-3,000km) missile platforms even for hypersonic missiles. They are cheap enough that the AUKUS budget could hypothetically buy hundreds of them. The future lies in smaller, cheaper, more numerous units – never the opposite. Modern warfare is entering the age of decentralisation, and programs like AUKUS are its exact antithesis.

The era of monsters like AUKUS is over. When the AUKUS program – which I will discuss in the coming days – was designed, it was already obsolete. Its most likely future is cancellation as many US programs during the last years. Just as drones in Ukraine dominated the battlefield in Ukraine, and proved that anything big and slow becomes vulnerable and almost useless, the same fate now reaches submarines. Hundreds of underwater drones will hunt submarines for hours or days until they find them, and China leads these breakthrough technologies. Two stand out: - Magnetic Wake Detection: developed by Northwestern Polytechnical University (NPU), it tracks magnetic disturbances left by moving submarines, even stealth Seawolf-class ones. Chinese UUVs already integrate this with existing MAD systems, mapping persistent wakes in real time. In 2025 tests, it merged with acoustic networks and AI to form a vast detection grid. - CPT Atomic Magnetometer (quantum sensor): the most promising, it eliminates low-latitude blind spots with extreme precision. Initially tested on tethered aerial drones, it is now being adapted for submerged UUVs using rubidium for omnidirectional anomaly detection. CASC researchers are miniaturising and mass-producing it; in simulations, AI-equipped UUVs distinguished real targets from false positives (e.g. whales) with 95% accuracy. None of this is theoretical – it is already part of China’s Underwater Great Wall, a mobile sensor network fusing magnetic, passive sonar and AI data. This is exactly why Japan’s new submarine - using lithium batteries- program draws so much attention: excellent cost, real innovation, and units entering service before 2032 will also be modern long-range (1,000-3,000km) missile platforms even for hypersonic missiles. They are cheap enough that the AUKUS budget could hypothetically buy hundreds of them. The future lies in smaller, cheaper, more numerous units – never the opposite. Modern warfare is entering the age of decentralisation, and programs like AUKUS are its exact antithesis.

Patricia Marins

509,860 次观看 • 8 个月前

Why is the market selling off today? (Save this). The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huang’s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensen’s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.

Why is the market selling off today? (Save this). The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huang’s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensen’s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.

Melvin

180,198 次观看 • 25 天前