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Pharah Showed (no) Mercy 🥖📷 Models nyl Physics Help D3D Fluid Sim @Futaholic3d

💕𝓕𝓾𝓽𝓪𝓷𝓪𝓻𝓲 𝓔𝓷𝓳𝓸𝔂𝓮𝓻 💕DMs OPEN

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32,227 次观看 • 1 个月前 •via X (Twitter)

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🚫He showed NO MERCY at all Guy beats up a student in school and his cousin comes to try to help but also gets knocked out!

🚫He showed NO MERCY at all Guy beats up a student in school and his cousin comes to try to help but also gets knocked out!

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Why can't “world models” just be sim? A real-time real2sim demo in the upcoming “ManiDreams” Foundation Stereo + SAM2 + Newton = Generalizable 3D physics prediction in a fast (15FPS) and lightweight (3070) way. No data or object mesh needed

Vector Wang

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Laken Riley's 911 call is chilling. She spent her last moments trying to get help and fight back from her attacker. Jose Ibarra showed no mercy. He deserves the MAXIMUM sentence…

Laken Riley's 911 call is chilling. She spent her last moments trying to get help and fight back from her attacker. Jose Ibarra showed no mercy. He deserves the MAXIMUM sentence…

Chad Prather

3,085,082 次观看 • 1 年前

New Fable 5 beats Opus 4.8 on real world physics simulations We gave both models the same three prompts and asked them to build self contained HTML5 sims with real physics and no libraries: 1. Chaotic double pendulum 2. Galton board 3. Water in a spinning drum (WCSPH) Generation cost Fable 5: $3.35 on 68.7k tokens, time 14m 47s Opus 4.8: $0.93 on 38.9k tokens, time 8m 10s Fable clearly did better on the water simulation, producing a much more solid and continuous body of water. Opus left larger gaps near the walls, scattered particles around the scene, and struggled to keep the fluid stable.

New Fable 5 beats Opus 4.8 on real world physics simulations We gave both models the same three prompts and asked them to build self contained HTML5 sims with real physics and no libraries: 1. Chaotic double pendulum 2. Galton board 3. Water in a spinning drum (WCSPH) Generation cost Fable 5: $3.35 on 68.7k tokens, time 14m 47s Opus 4.8: $0.93 on 38.9k tokens, time 8m 10s Fable clearly did better on the water simulation, producing a much more solid and continuous body of water. Opus left larger gaps near the walls, scattered particles around the scene, and struggled to keep the fluid stable.

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New Kimi K2.7 Code performs at GPT-5.5 level 3x cheaper! We gave both models the same three prompts: build a self-contained HTML5 canvas sim with real physics, no libraries. A spring pendulum on a stretching coil, a 1 kg block trading collisions with a 100,000 kg block, and 22 balls churning in a spinning hexagon Outputs: Kimi K2.7 Code: $0.28 on 52.4k tokens GPT-5.5: $0.93 on 23.4k tokens Spring pendulums and blocks came out even. The balls Kimi did better: its pile spins with the drum when GPT's bounce around in pure chaos. On price to quality, K2.7 Code is the clear pick

New Kimi K2.7 Code performs at GPT-5.5 level 3x cheaper! We gave both models the same three prompts: build a self-contained HTML5 canvas sim with real physics, no libraries. A spring pendulum on a stretching coil, a 1 kg block trading collisions with a 100,000 kg block, and 22 balls churning in a spinning hexagon Outputs: Kimi K2.7 Code: $0.28 on 52.4k tokens GPT-5.5: $0.93 on 23.4k tokens Spring pendulums and blocks came out even. The balls Kimi did better: its pile spins with the drum when GPT's bounce around in pure chaos. On price to quality, K2.7 Code is the clear pick

atomic.chat

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Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

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🚨HORROR IN PARIS: Australian Tourist Brutally Gang-Raped by Pack of Black Men – Begs for Mercy in Kebab Shop! An innocent Australian woman was viciously attacked and gang-raped by a mob of five black men in Paris after a night out. Terrified and half-naked, she fled to a nearby kebab shop, desperately begging for help while one of her attackers casually followed her inside and ordered food like nothing happened. This shocking video exposes the savage reality of unchecked migration and failing borders in Europe. Paris has become a dangerous hellhole where women are no longer safe on the streets. The attackers showed zero remorse as they hunted their victim. Enough is enough – borders must be secured and this madness stopped before more innocent lives are destroyed!

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🚨HORROR IN PARIS: Australian Tourist Brutally Gang-Raped by Pack of Black Men – Begs for Mercy in Kebab Shop! An innocent Australian woman was viciously attacked and gang-raped by a mob of five black men in Paris after a night out. Terrified and half-naked, she fled to a nearby kebab shop, desperately begging for help while one of her attackers casually followed her inside and ordered food like nothing happened. This shocking video exposes the savage reality of unchecked migration and failing borders in Europe. Paris has become a dangerous hellhole where women are no longer safe on the streets. The attackers showed zero remorse as they hunted their victim. Enough is enough – borders must be secured and this madness stopped before more innocent lives are destroyed!

AshleY

8,444,948 次观看 • 24 天前

Day 049, orbit 0759 – Another experiment, and another timelapse! This time, I’m working with the Fluid Science Laboratory (FSL), one of the science facilities inside ESA’s Columbus module. The experiment is called PASTA-3 and investigates the formation and evolution of emulsions over time when there is no gravity to interfere. Emulsions are mixtures of two or more liquids that do not usually mix, such as oil and water. During this session, I installed 3 experiment containers 🧪 with new samples inside the FSL. Each PASTA sample has a different concentration of surfactant (an agent that helps liquids mix) and Xanthan Gum in addition to a water and oil mixture. This experiment helps scientists better understand and model the fundamental physics of emulsions. That knowledge has numerous applications on Earth, including: - improving food quality and shelf life (milk 🥛, dough, mayonnaise, candy…), - enhancing the stability and effectiveness of medicines (including vaccines 💉) and cosmetics, - optimising processes in industrial and advanced manufacturing sectors (oil 🛢️, chemicals …). PASTA-3 is one of the 36 European experiments I get to work on during my mission! Go science! (PASTA is short for PArticle STAbilised emulsions experiment.) 📷 European Space Agency / NASA #εpsilon • European Space Agencyspaceflight • International Space Station • NASA_Johnson

Day 049, orbit 0759 – Another experiment, and another timelapse! This time, I’m working with the Fluid Science Laboratory (FSL), one of the science facilities inside ESA’s Columbus module. The experiment is called PASTA-3 and investigates the formation and evolution of emulsions over time when there is no gravity to interfere. Emulsions are mixtures of two or more liquids that do not usually mix, such as oil and water. During this session, I installed 3 experiment containers 🧪 with new samples inside the FSL. Each PASTA sample has a different concentration of surfactant (an agent that helps liquids mix) and Xanthan Gum in addition to a water and oil mixture. This experiment helps scientists better understand and model the fundamental physics of emulsions. That knowledge has numerous applications on Earth, including: - improving food quality and shelf life (milk 🥛, dough, mayonnaise, candy…), - enhancing the stability and effectiveness of medicines (including vaccines 💉) and cosmetics, - optimising processes in industrial and advanced manufacturing sectors (oil 🛢️, chemicals …). PASTA-3 is one of the 36 European experiments I get to work on during my mission! Go science! (PASTA is short for PArticle STAbilised emulsions experiment.) 📷 European Space Agency / NASA #εpsilon • European Space Agencyspaceflight • International Space Station • NASA_Johnson

Adenot Sophie

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🚨 SHE WAS SENT TO HOSPICE WITH CANCER EVERYWHERE… THEN HER PET SCAN WENT COMPLETELY NORMAL. An 83 year old woman had already beaten breast cancer once after her original diagnosis in 2009. But by late 2021, the disease had returned in its most aggressive form. Doctors confirmed metastatic breast cancer in the liver through biopsy. Fluid buildup in the abdomen also tested positive for malignant cancer cells. MRI scans showed tumors throughout the spine including T10, T12, L1 through L5, the sacrum, and pelvic bones. PET scans later revealed multiple hypermetabolic lesions in the lungs and destructive bone tumors spreading into the spinal canal. At this stage, most people understand what this means. This is usually considered terminal disease. The patient reportedly declined further chemotherapy and extensive radiation treatment and was instead placed into hospice care. In other words, end of life management. Then something unexpected happened. In November 2021, she reportedly began self-administering 222mg of Fenbendazole daily while also receiving limited supportive treatment for pain management and hormonal suppression. The radiation she later received only targeted two spinal lesions to help relieve unbearable nerve pain, but it would not have affected the cancer already spread throughout the lungs, liver, pelvis, and the rest of the spine. Yet over the next several months, her condition reportedly changed dramatically. Liver enzymes that had become abnormal returned to normal ranges. Her CA 27.29 tumor marker reportedly dropped from 316 down to 36.6, suggesting a massive reduction in total tumor burden throughout the body. Then came the scan that shocked many people following the case. An April 2022 PET scan reportedly showed NO abnormal metabolic activity associated with active cancer. No activity in the lungs. No activity in the liver. No activity throughout the spine and pelvis where widespread metastatic disease had previously been documented. A patient once placed into hospice care reportedly showed complete metabolic resolution on imaging after months of Fenbendazole use. 👇 Stories like this are exactly why thousands of people are now researching repurposed protocols involving Fenbendazole, Ivermectin, and Mebendazole through GENIX MEDS and following the growing body of research around these compounds. Interest in repurposed antiparasitic drugs continues increasing globally, especially after multiple institutions began publishing research on compounds like Mebendazole in glioblastoma, colon cancer, breast cancer, and pancreatic cancer models. Johns Hopkins researchers have also patented formulations involving Mebendazole for cancer related applications. ⚠️ This post is for informational and educational purposes only. It is not medical advice and does not claim any medication cures cancer. Always consult a qualified healthcare professional before making medical decisions. #Fenbendazole #Ivermectin #Mebendazole #Cancer

🚨 SHE WAS SENT TO HOSPICE WITH CANCER EVERYWHERE… THEN HER PET SCAN WENT COMPLETELY NORMAL. An 83 year old woman had already beaten breast cancer once after her original diagnosis in 2009. But by late 2021, the disease had returned in its most aggressive form. Doctors confirmed metastatic breast cancer in the liver through biopsy. Fluid buildup in the abdomen also tested positive for malignant cancer cells. MRI scans showed tumors throughout the spine including T10, T12, L1 through L5, the sacrum, and pelvic bones. PET scans later revealed multiple hypermetabolic lesions in the lungs and destructive bone tumors spreading into the spinal canal. At this stage, most people understand what this means. This is usually considered terminal disease. The patient reportedly declined further chemotherapy and extensive radiation treatment and was instead placed into hospice care. In other words, end of life management. Then something unexpected happened. In November 2021, she reportedly began self-administering 222mg of Fenbendazole daily while also receiving limited supportive treatment for pain management and hormonal suppression. The radiation she later received only targeted two spinal lesions to help relieve unbearable nerve pain, but it would not have affected the cancer already spread throughout the lungs, liver, pelvis, and the rest of the spine. Yet over the next several months, her condition reportedly changed dramatically. Liver enzymes that had become abnormal returned to normal ranges. Her CA 27.29 tumor marker reportedly dropped from 316 down to 36.6, suggesting a massive reduction in total tumor burden throughout the body. Then came the scan that shocked many people following the case. An April 2022 PET scan reportedly showed NO abnormal metabolic activity associated with active cancer. No activity in the lungs. No activity in the liver. No activity throughout the spine and pelvis where widespread metastatic disease had previously been documented. A patient once placed into hospice care reportedly showed complete metabolic resolution on imaging after months of Fenbendazole use. 👇 Stories like this are exactly why thousands of people are now researching repurposed protocols involving Fenbendazole, Ivermectin, and Mebendazole through GENIX MEDS and following the growing body of research around these compounds. Interest in repurposed antiparasitic drugs continues increasing globally, especially after multiple institutions began publishing research on compounds like Mebendazole in glioblastoma, colon cancer, breast cancer, and pancreatic cancer models. Johns Hopkins researchers have also patented formulations involving Mebendazole for cancer related applications. ⚠️ This post is for informational and educational purposes only. It is not medical advice and does not claim any medication cures cancer. Always consult a qualified healthcare professional before making medical decisions. #Fenbendazole #Ivermectin #Mebendazole #Cancer

GENIX MEDS

57,001 次观看 • 1 个月前

Never forget this cry. Never forget this face. Renjith Sreenivasan… He was a lawyer. A BJP leader from Alappuzha. A son, a husband, and the father of 2 little girl. A man who believed in his ideology and spoke without fear. On 19 December morning in 2021, terrorist linked to PFI/SDPI stormed into his home. They didn’t come to argue, not to talk, not to warn — but to end his life. In front of his mother who begged. In front of his wife who screamed for help. In front of his young daughter who watched her world collapse. They surrounded him. They shouted to finish him. They showed no mercy. And inside that small house, a BJP worker was murdered for his beliefs. That home, which should have echoed with laughter, was filled with cries. That child, who should have slept in safety, saw her father fall. This was not just a killing. This was terror. This was a message of fear. Years later, justice answered. The court sentenced 15 attackers for this brutal crime. But no sentence can erase that morning. No verdict can heal that child’s heart. Today, on his death anniversary, we remember Renjith Sreenivasan — not just as a victim, but as a brave soul who refused to bow. Your sacrifice will not be forgotten. Kerala must remember. India must remember. 🕯️🚩

Never forget this cry. Never forget this face. Renjith Sreenivasan… He was a lawyer. A BJP leader from Alappuzha. A son, a husband, and the father of 2 little girl. A man who believed in his ideology and spoke without fear. On 19 December morning in 2021, terrorist linked to PFI/SDPI stormed into his home. They didn’t come to argue, not to talk, not to warn — but to end his life. In front of his mother who begged. In front of his wife who screamed for help. In front of his young daughter who watched her world collapse. They surrounded him. They shouted to finish him. They showed no mercy. And inside that small house, a BJP worker was murdered for his beliefs. That home, which should have echoed with laughter, was filled with cries. That child, who should have slept in safety, saw her father fall. This was not just a killing. This was terror. This was a message of fear. Years later, justice answered. The court sentenced 15 attackers for this brutal crime. But no sentence can erase that morning. No verdict can heal that child’s heart. Today, on his death anniversary, we remember Renjith Sreenivasan — not just as a victim, but as a brave soul who refused to bow. Your sacrifice will not be forgotten. Kerala must remember. India must remember. 🕯️🚩

MAHARATHI

62,840 次观看 • 6 个月前

🧑‍🚀 Day 5 of the Cursor #vibejam Proudly sponsored by Cursor + bolt.new + GLIF Today a little bit about Cursor 3, it's a completely rebuilt interface designed around agents, you can run multiple AI agents in parallel, hand off between local and cloud, and go from commit to merged PR. It's powered by Composer 2, their own frontier coding model that tops benchmarks at $0.50/M input tokens — and the Fast variant runs at 200 tokens/sec, more than 2x faster than other frontier models. Perfect for vibe coding your game jam entry. And edwin from Cursor is here to help you if you get stuck! Lots of activity again today again on here, the best games (or well previews) I saw today: 🍣 Sushi Belt by steeno 🌊 Surfing Simulator by Erik (this one is a basic demo but very promising as it has realistic water physics) 🦆 Grand Quack Auto by kyzo (or as I like to call it Bali Simulator) 🏛️ Roman Combat Sim by terry trusner (continued from yesterday because it's had a lot of progress I think) YOU HAVE 24 DAYS LEFT! Reply in this thread with updates on your current games to share your progress, and add tag #vibejam so I see and can include you in the daily tweet There's $35,000 in prizes for you to win, see threads below for more info. The Gold prize is $20,000, bronze is $10,000 and silver is $5,000! Wanna to participate? You can still start today and submit your game any time before May 1!

🧑‍🚀 Day 5 of the Cursor #vibejam Proudly sponsored by Cursor + bolt.new + GLIF Today a little bit about Cursor 3, it's a completely rebuilt interface designed around agents, you can run multiple AI agents in parallel, hand off between local and cloud, and go from commit to merged PR. It's powered by Composer 2, their own frontier coding model that tops benchmarks at $0.50/M input tokens — and the Fast variant runs at 200 tokens/sec, more than 2x faster than other frontier models. Perfect for vibe coding your game jam entry. And edwin from Cursor is here to help you if you get stuck! Lots of activity again today again on here, the best games (or well previews) I saw today: 🍣 Sushi Belt by steeno 🌊 Surfing Simulator by Erik (this one is a basic demo but very promising as it has realistic water physics) 🦆 Grand Quack Auto by kyzo (or as I like to call it Bali Simulator) 🏛️ Roman Combat Sim by terry trusner (continued from yesterday because it's had a lot of progress I think) YOU HAVE 24 DAYS LEFT! Reply in this thread with updates on your current games to share your progress, and add tag #vibejam so I see and can include you in the daily tweet There's $35,000 in prizes for you to win, see threads below for more info. The Gold prize is $20,000, bronze is $10,000 and silver is $5,000! Wanna to participate? You can still start today and submit your game any time before May 1!

@levelsio

79,626 次观看 • 3 个月前

🚨 Donate to children urgently 🚨 🥖 Today at Project Mohammed… children held pieces of bread in their small hands… not like food… but like survival itself. Some had not eaten since yesterday. Some stood silently in line because hunger had exhausted even their voices. Some smiled for one brief moment… as if one piece of bread brought them back to life. But the reality in Gaza is becoming more terrifying every hour. Flour is disappearing. Bakeries are shutting down. And families are now searching for bread the way people search for safety. 💔 Children are no longer eating to feel full… they eat only to stop their bodies from collapsing 💔 Mothers break one loaf into tiny pieces… pretending they are not hungry so their children can survive 💔 Some children sleep hungry for days… too weak to even cry anymore Look carefully at the children during distribution… at the way they hold the bread… at the fear in their eyes that there may not be another chance tomorrow. In Gaza today… bread is no longer something ordinary. Bread is survival. Bread is mercy. Bread is the thin line between life and death. 😭 Imagine hearing your child whisper: “I’m hungry…” while having absolutely nothing left to give. 🍞 One loaf today could save a child from another night of hunger and weakness. 🤍 Deep thanks to the people still standing beside Gaza and helping us continue: Eyup (Eyup Lovely) Felix (GoliathFan1952) William Menaker (Will 🦥 Menaker) 🚨 Please do not scroll away. Every delay means more children sleeping hungry tonight. 👉 Donate now and help us continue distributing bread before it disappears completely:

🚨 Donate to children urgently 🚨 🥖 Today at Project Mohammed… children held pieces of bread in their small hands… not like food… but like survival itself. Some had not eaten since yesterday. Some stood silently in line because hunger had exhausted even their voices. Some smiled for one brief moment… as if one piece of bread brought them back to life. But the reality in Gaza is becoming more terrifying every hour. Flour is disappearing. Bakeries are shutting down. And families are now searching for bread the way people search for safety. 💔 Children are no longer eating to feel full… they eat only to stop their bodies from collapsing 💔 Mothers break one loaf into tiny pieces… pretending they are not hungry so their children can survive 💔 Some children sleep hungry for days… too weak to even cry anymore Look carefully at the children during distribution… at the way they hold the bread… at the fear in their eyes that there may not be another chance tomorrow. In Gaza today… bread is no longer something ordinary. Bread is survival. Bread is mercy. Bread is the thin line between life and death. 😭 Imagine hearing your child whisper: “I’m hungry…” while having absolutely nothing left to give. 🍞 One loaf today could save a child from another night of hunger and weakness. 🤍 Deep thanks to the people still standing beside Gaza and helping us continue: Eyup (Eyup Lovely) Felix (GoliathFan1952) William Menaker (Will 🦥 Menaker) 🚨 Please do not scroll away. Every delay means more children sleeping hungry tonight. 👉 Donate now and help us continue distributing bread before it disappears completely:

Muhmmed Project𓂆 🇵🇸

12,842 次观看 • 1 个月前

Today, I'm thrilled to share that Garden is being acquired by SIM IP for $150m — creating the world's leading IP monetization and licensing platform. SIM IP started off as our customer, and as we spent more time with them among hundreds of other users, we realized that to truly change the market we operate in, we had to vertically integrate to build a one-of-one software enabled business. To say this journey has been surreal would be an understatement. I started Garden from my Stanford dorm room as a senior with a laptop and a thesis: reasoning models and better search could help average people understand patents. Little did I know the impact it would have in unlocking the trillions of dollars of untapped value sitting in patent portfolios around the world. I was a 22-year-old first-time founder who had never raised a dollar, never hired anyone full time, and if we’re being honest, had no idea what I was doing at some points. So many people took a bet on me when they had every reason not to. I will never forget that. To my team — you are the reason we're here. You believed in a weird idea about AI and patents before it was obvious. You worked nights, weekends, and through moments when the outcome was far from certain. We faced rejection over and over before our use case became obvious. This is your win. To our investors — thank you for backing a kid with a 5 page memo and a dream. Your conviction gave us the runway to build something real. We made a lot of pivots before we got to something tangible, so your raw conviction in our team is something I will never take for granted. To our customers — thank you for taking a bet on us and helping usher in the everyday use of reasoning models in patent litigation and prosecution. To our competitors - thank you for forcing us to be better everyday. As part of SIM IP, Garden becomes the technology engine behind a pure-play licensing and royalty company that is scaling nine-figures in revenue. We're not just analyzing patents anymore — we're building the infrastructure that will define how innovation is valued and monetized for decades to come. The mission hasn't changed. We're still obsessed with the same problem: less than 2% of patents ever generate revenue for their inventors. That's a market failure. And now, we have the scale, capital, and team to fix it. I'm eternally grateful for how far we've come — and even more excited for what's next.

Today, I'm thrilled to share that Garden is being acquired by SIM IP for $150m — creating the world's leading IP monetization and licensing platform. SIM IP started off as our customer, and as we spent more time with them among hundreds of other users, we realized that to truly change the market we operate in, we had to vertically integrate to build a one-of-one software enabled business. To say this journey has been surreal would be an understatement. I started Garden from my Stanford dorm room as a senior with a laptop and a thesis: reasoning models and better search could help average people understand patents. Little did I know the impact it would have in unlocking the trillions of dollars of untapped value sitting in patent portfolios around the world. I was a 22-year-old first-time founder who had never raised a dollar, never hired anyone full time, and if we’re being honest, had no idea what I was doing at some points. So many people took a bet on me when they had every reason not to. I will never forget that. To my team — you are the reason we're here. You believed in a weird idea about AI and patents before it was obvious. You worked nights, weekends, and through moments when the outcome was far from certain. We faced rejection over and over before our use case became obvious. This is your win. To our investors — thank you for backing a kid with a 5 page memo and a dream. Your conviction gave us the runway to build something real. We made a lot of pivots before we got to something tangible, so your raw conviction in our team is something I will never take for granted. To our customers — thank you for taking a bet on us and helping usher in the everyday use of reasoning models in patent litigation and prosecution. To our competitors - thank you for forcing us to be better everyday. As part of SIM IP, Garden becomes the technology engine behind a pure-play licensing and royalty company that is scaling nine-figures in revenue. We're not just analyzing patents anymore — we're building the infrastructure that will define how innovation is valued and monetized for decades to come. The mission hasn't changed. We're still obsessed with the same problem: less than 2% of patents ever generate revenue for their inventors. That's a market failure. And now, we have the scale, capital, and team to fix it. I'm eternally grateful for how far we've come — and even more excited for what's next.

Adi Sidapara

14,236 次观看 • 5 个月前

A 2025 Nature study revealed a surprisingly simple way aspirin might help fight cancer metastasis. Researchers discovered that cancer cells trick blood vessels into releasing a substance called thromboxane A2 (TXA2). This chemical then sends a signal that basically tells our immune system’s T-cells to “stand down,” making it easier for cancer to spread. Science nugget: In mouse models of breast, skin, and bowel cancer, aspirin blocked TXA2 production. This freed up the T-cells to attack more effectively, resulting in significantly fewer metastases. When scientists genetically removed the key protein (ARHGEF1) that receives the signal, metastasis dropped sharply — and aspirin had no extra effect, proving this is the main pathway. The study helps explain why some earlier human observational data showed potential protective effects (especially for colorectal cancer). However, these promising results are still from mice, and experts stress that we need proper clinical trials in humans to confirm who might benefit and what the risks are. Any use of aspirin for cancer-related reasons should only happen after talking to your doctor, due to side effects like increased bleeding risk. It’s a fascinating reminder that an old, cheap drug might still have hidden powers we’re only beginning to understand. Does this aspirin-cancer connection surprise you, or does it make you curious about what other everyday medicines might have undiscovered effects?

A 2025 Nature study revealed a surprisingly simple way aspirin might help fight cancer metastasis. Researchers discovered that cancer cells trick blood vessels into releasing a substance called thromboxane A2 (TXA2). This chemical then sends a signal that basically tells our immune system’s T-cells to “stand down,” making it easier for cancer to spread. Science nugget: In mouse models of breast, skin, and bowel cancer, aspirin blocked TXA2 production. This freed up the T-cells to attack more effectively, resulting in significantly fewer metastases. When scientists genetically removed the key protein (ARHGEF1) that receives the signal, metastasis dropped sharply — and aspirin had no extra effect, proving this is the main pathway. The study helps explain why some earlier human observational data showed potential protective effects (especially for colorectal cancer). However, these promising results are still from mice, and experts stress that we need proper clinical trials in humans to confirm who might benefit and what the risks are. Any use of aspirin for cancer-related reasons should only happen after talking to your doctor, due to side effects like increased bleeding risk. It’s a fascinating reminder that an old, cheap drug might still have hidden powers we’re only beginning to understand. Does this aspirin-cancer connection surprise you, or does it make you curious about what other everyday medicines might have undiscovered effects?

Camus

268,189 次观看 • 3 个月前

For 2,000 years, Egyptologists insisted that the Pyramid was built with ramps. But the ramp math didn't work. The evidence didn't exist. Finally someone asked: what if the builders used the pyramid itself as the scaffold? And suddenly everything fit. Let me explain... In 1999, a French architect named Jean-Pierre Houdin ran the pyramid ramp math in 3D and found a problem nobody was saying out loud. External ramps to the apex would need to be 4,800 feet long. They'd contain more material than the pyramid itself. No ramp that size has ever been found. Not buried. Not partially eroded. Completely absent. So Houdin asked a different question: what if the builders used the pyramid as its own scaffold? An internal spiral, corkscrewing up through the walls. Invisible from outside. Still inside today. In 1986, a French microgravimetric survey found density variations consistent with an open internal passage. In 2017, muon radiography detected a 100-foot unmapped void. No one had mapped it in 4,500 years. UCL Egyptologist David Jeffreys dismissed Houdin's theory as "far-fetched and horribly complicated." The evidence was building for decades while the consensus held. The insight Houdin used in 1999 is the same one the builders used 4,500 years earlier: start from what physics makes impossible. Remove it. See what's left. That's the inversion model. Most problems aren't solved by adding constraints. They're solved by questioning the constraints themselves. The toolkit maps frameworks like this. I made a free toolkit breaking down 100+ mental models used by history's greatest thinkers — the same frameworks that help you see patterns like this before everyone else. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content.

For 2,000 years, Egyptologists insisted that the Pyramid was built with ramps. But the ramp math didn't work. The evidence didn't exist. Finally someone asked: what if the builders used the pyramid itself as the scaffold? And suddenly everything fit. Let me explain... In 1999, a French architect named Jean-Pierre Houdin ran the pyramid ramp math in 3D and found a problem nobody was saying out loud. External ramps to the apex would need to be 4,800 feet long. They'd contain more material than the pyramid itself. No ramp that size has ever been found. Not buried. Not partially eroded. Completely absent. So Houdin asked a different question: what if the builders used the pyramid as its own scaffold? An internal spiral, corkscrewing up through the walls. Invisible from outside. Still inside today. In 1986, a French microgravimetric survey found density variations consistent with an open internal passage. In 2017, muon radiography detected a 100-foot unmapped void. No one had mapped it in 4,500 years. UCL Egyptologist David Jeffreys dismissed Houdin's theory as "far-fetched and horribly complicated." The evidence was building for decades while the consensus held. The insight Houdin used in 1999 is the same one the builders used 4,500 years earlier: start from what physics makes impossible. Remove it. See what's left. That's the inversion model. Most problems aren't solved by adding constraints. They're solved by questioning the constraints themselves. The toolkit maps frameworks like this. I made a free toolkit breaking down 100+ mental models used by history's greatest thinkers — the same frameworks that help you see patterns like this before everyone else. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content.

GeniusThinking

411,609 次观看 • 2 个月前

This is a direct hardware capture of our Grand Theft Auto 3 port running on the Sega Dreamcast... which I'm still constantly receiving questions about to this day... So what's the deal? Do we ever plan to revisit it, or have we called it a day and moved on? What about all of these gainz that I keep posting about, surely they could be applied to our GTA3 and VC ports? The truth is... No, I'm not done. I constantly think about the day when SH4ZAM is ready to be pulled back into the codebase for what will hopefully be another round of epic gainz. GTA3 and VC on DC were probably the most exhilarating, satisfying projects I've ever worked on as an engineer--academically, professionally, and personally. SH4ZAM literally started out as hand-optimized inline ASM routines I was whipping out of my ass to optimize the physics and TnL for these ports... but I decided to extract the routines and develop SH4ZAM in isolation for a couple reasons: 1) I saw a gaping hole in the DC homebrew community and KallistiOS ecosystem, which prevented indie developers from truly harnessing the power of the DC's SH4 CPU and its epic FPU, due to us having no good generic software solution to democratize the hardware... I felt like my work on GTA3 and VC could help fill that void. 2) The linear algebra math and low level SH4 ASM was starting to get complex enough that continuing to work within the main game codebase when implementing these optimizations became unrealistic. It became too easy to break the game in obscure ways that weren't immediately apparent without playing the game for hours, which was not a very ideal workflow... I needed an isolated environment where I could rigorously unit test and profile my routines. In addition to SH4ZAM, though, there's all kinds of other stuff I wanted for the game... We have yet to implement mouse + keyboard support for the PC control scheme, also enabling players enter cheat codes. We had some cool goodies planned for the VMU, and we didn't support any rumble or haptic feedback either, just to name a few. Finally, we have one more super secret weapon we've kept hidden for many months now... A certain 3D modeling wizard, who goes by Andrea Lotito, has been working on asset-side gainz, by reducing polygonal complexity of pedestrian models among others, while astonishingly still managing to get EVEN MORE DETAIL out of the models as well?!

Falco Girgis

34,216 次观看 • 3 个月前

$Sun-gazing to improve eyesight and eye-health? OK. Let’s break it down. See this video attached? It has more than 1 million views and close to 50K likes. In the video, a guy, who is the co-founder of The Satvic Movement, is trying to "naturalize" the Indians by claiming that everything scientific is “unnatural and synthetic.” He goes on to claim that he got rid of his “glasses” by looking at the Sun, a process known as sun-gazing – during dawn and at dusk which improved his eye health. He gives no scientific explanation for this, apart from a brightly lit well-edited video. Why do people require glasses? These are commonly due to disorders that affect the eye lens – to correct blurry vision that affects distance (nearsightedness – also called myopia), up close (farsightedness – also called hypermetropia), or both, along with difficulty in distinguishing certain shapes (astigmatism). Glasses work to correct your vision and are designed to alter the direction of light rays so that they shine correctly on your retina (the rearmost part of the eye where the light falls to create vision through multi-complex coordination of nerves), allowing you to see properly. These groups of disorders that affect the lens are called refractive errors and wearing spectacles are the easiest and most efficient and safest way to correcting vision in such affected people. Don’t want to wear glasses? There are other effective ways to go about it – such as wearing contacts or opting for a simple, minimally-invasive surgery such as laser-based. Here is a simple explainer on these: Now Sun-Gazing. Sun-gazing is a meditative practice that involves looking at and focusing on the sun. It is usually promoted by unscientific groups, who have close attachments to pseudoscientific practices such as Ayurveda or Yoga and are deeply involved in religion & spiritualism, science-denialism, chemophobia (only modern inventions are chemicals, rest are all natural), irrationality and fearmongering against realistic-healthcare options. The Satvic Movement is EXACTLY that. There is no scientific research to support the practice of sun-gazing. There is no empirical evidence to support that sun-gazing improves eye health or can help you correct eye-lens related disorders. While several bloggers and enthusiasts write about the benefits of sun gazing, no studies or reputable authorities mention or endorse the practice. However, there is evidence that the practice can be extremely HARMFUL. A 1968 paper in the British Medical Journal described people who damaged their retinas - the light-sensitive layers of nerve tissue at the back of the eye that receive images and sends them as electric signals through the optic nerve to the brain – after prolonged periods of sun-gazing. A 1973 paper reported severe damaged to inner layers of the eye after people sun-gazed or focused their vision towards the sun for intermittent/prolonged periods – some where under the influence of LSD recreational drugs. A 1985 report showed that gazing at the sun resulted in fluid leakage and blood vessel damage to the light sensitive structures inside the eye. A 2013 report showed that a woman, after sun-gazing developed persistent vision damage up to one year which required aggressive care. A recent 2022 paper describes in detail the adverse/negative effects seen with sun-gazing and effects of exposure to solar radiation on the eyes. Short-term exposure has been shown to cause photokeratitis and photo retinitis where the cornea of the eye gets damaged. In contrast, long-term exposure has been shown to cause cataracts, pterygium and cancers of the cornea and conjunctiva, and cancers of the eyelids. The evidence supporting these claims is quite compelling. Sun-gazing DOES NOT help you get freedom from your glasses. It will harm you more. It is a primal and primitive practice promoted by loonies who are health-illiterate and dangerous to the public health at large. Do not take health care advice from such people or groups of people. Discuss your healthcare options with your doctor for better understanding and effective outcomes. Stay away from “Movements” that detach you away from reality and leave you without the capacity for rational and logical thinking.$

Sun-gazing to improve eyesight and eye-health? OK. Let’s break it down. See this video attached? It has more than 1 million views and close to 50K likes. In the video, a guy, who is the co-founder of The Satvic Movement, is trying to "naturalize" the Indians by claiming that everything scientific is “unnatural and synthetic.” He goes on to claim that he got rid of his “glasses” by looking at the Sun, a process known as sun-gazing – during dawn and at dusk which improved his eye health. He gives no scientific explanation for this, apart from a brightly lit well-edited video. Why do people require glasses? These are commonly due to disorders that affect the eye lens – to correct blurry vision that affects distance (nearsightedness – also called myopia), up close (farsightedness – also called hypermetropia), or both, along with difficulty in distinguishing certain shapes (astigmatism). Glasses work to correct your vision and are designed to alter the direction of light rays so that they shine correctly on your retina (the rearmost part of the eye where the light falls to create vision through multi-complex coordination of nerves), allowing you to see properly. These groups of disorders that affect the lens are called refractive errors and wearing spectacles are the easiest and most efficient and safest way to correcting vision in such affected people. Don’t want to wear glasses? There are other effective ways to go about it – such as wearing contacts or opting for a simple, minimally-invasive surgery such as laser-based. Here is a simple explainer on these: Now Sun-Gazing. Sun-gazing is a meditative practice that involves looking at and focusing on the sun. It is usually promoted by unscientific groups, who have close attachments to pseudoscientific practices such as Ayurveda or Yoga and are deeply involved in religion & spiritualism, science-denialism, chemophobia (only modern inventions are chemicals, rest are all natural), irrationality and fearmongering against realistic-healthcare options. The Satvic Movement is EXACTLY that. There is no scientific research to support the practice of sun-gazing. There is no empirical evidence to support that sun-gazing improves eye health or can help you correct eye-lens related disorders. While several bloggers and enthusiasts write about the benefits of sun gazing, no studies or reputable authorities mention or endorse the practice. However, there is evidence that the practice can be extremely HARMFUL. A 1968 paper in the British Medical Journal described people who damaged their retinas - the light-sensitive layers of nerve tissue at the back of the eye that receive images and sends them as electric signals through the optic nerve to the brain – after prolonged periods of sun-gazing. A 1973 paper reported severe damaged to inner layers of the eye after people sun-gazed or focused their vision towards the sun for intermittent/prolonged periods – some where under the influence of LSD recreational drugs. A 1985 report showed that gazing at the sun resulted in fluid leakage and blood vessel damage to the light sensitive structures inside the eye. A 2013 report showed that a woman, after sun-gazing developed persistent vision damage up to one year which required aggressive care. A recent 2022 paper describes in detail the adverse/negative effects seen with sun-gazing and effects of exposure to solar radiation on the eyes. Short-term exposure has been shown to cause photokeratitis and photo retinitis where the cornea of the eye gets damaged. In contrast, long-term exposure has been shown to cause cataracts, pterygium and cancers of the cornea and conjunctiva, and cancers of the eyelids. The evidence supporting these claims is quite compelling. Sun-gazing DOES NOT help you get freedom from your glasses. It will harm you more. It is a primal and primitive practice promoted by loonies who are health-illiterate and dangerous to the public health at large. Do not take health care advice from such people or groups of people. Discuss your healthcare options with your doctor for better understanding and effective outcomes. Stay away from “Movements” that detach you away from reality and leave you without the capacity for rational and logical thinking.

TheLiverDoc™

638,127 次观看 • 3 年前

Sam Altman just admitted OpenAI deliberately keeps life-saving AI capabilities locked because they're too dangerous to release. A guy flew in from Australia to tell Altman how he used ChatGPT to design a custom mRNA vaccine for his dog's cancer. He had no medical background or research team. Did what would've taken an entire research institute with just ChatGPT. And the dog actually survived. Altman called it the coolest meeting he had all week. Then he admitted that OpenAI intentionally restricts how powerful their models can be in biology. Said more people could save lives if they "turned up the power." But they won't. Because that same power could let a terrorist group engineer a novel pandemic. So right now there is a version of ChatGPT that could potentially help cure diseases that OpenAI will not give you access to. Not because it doesn't work but because it works TOO well. And that tension defines everything about where AI is headed. Altman says within 2 years there will be more cognitive capacity inside data centers than inside every human brain on Earth combined. Automated AI researchers could compress 10 years of scientific progress into one year. Then 100 years into one year. A physicist using one of OpenAI's latest internal systems told Altman his mind was "completely blown" and that decades of theoretical physics breakthroughs are about to happen in the next couple of years. This is what nobody's paying attention to. Everyone's arguing about chatbots and which AI writes better emails. But the ACTUAL play is automated research that could reshape energy, medicine, and materials science faster than any institution can process. But Altman is also terrified of what happens when individuals get that much power. He says open source models will eventually be capable of designing pathogens. When that happens it won't matter what safety restrictions OpenAI puts on their products. The threat literally comes from everywhere. And here's the part that tells you everything about where his head is at: He won't let his own son use AI. The CEO of the most powerful AI company in history would rather be on the "late end of what's reasonable" when it comes to his kid using the technology HE built. He used to write his baby a letter every night about the decisions he was making at OpenAI. What went wrong. What he was worried about. What he decided and why. Said writing to your kid forces you to be the most honest version of yourself because you can't hide anything. His lawyers told him to stop. The man building the most powerful technology ever created was writing nightly confessions to his infant son about what he was doing. And the legal team said that's too DANGEROUS to continue. He also confirmed the first one-person billion-dollar company already exists. Built entirely by one founder using AI agents. No team. He promised not to share details until the founder announces it. And he killed Sora despite a billion-dollar Disney deal because "competing in short-form video would force OpenAI to optimize for addiction." The picture that emerges is a man who believes he's building something that could save or destroy civilization. And he's making trillion-dollar bets on the assumption he can thread that needle. - Locking up capabilities that could cure diseases because they could also engineer plagues - Deploying AI for the military while admitting he "miscalibrated" public trust - Raising a child he won't let touch the product he built That's not confidence. Sam Altman is negotiating with the future in real time and hoping he gets it right.

Sam Altman just admitted OpenAI deliberately keeps life-saving AI capabilities locked because they're too dangerous to release. A guy flew in from Australia to tell Altman how he used ChatGPT to design a custom mRNA vaccine for his dog's cancer. He had no medical background or research team. Did what would've taken an entire research institute with just ChatGPT. And the dog actually survived. Altman called it the coolest meeting he had all week. Then he admitted that OpenAI intentionally restricts how powerful their models can be in biology. Said more people could save lives if they "turned up the power." But they won't. Because that same power could let a terrorist group engineer a novel pandemic. So right now there is a version of ChatGPT that could potentially help cure diseases that OpenAI will not give you access to. Not because it doesn't work but because it works TOO well. And that tension defines everything about where AI is headed. Altman says within 2 years there will be more cognitive capacity inside data centers than inside every human brain on Earth combined. Automated AI researchers could compress 10 years of scientific progress into one year. Then 100 years into one year. A physicist using one of OpenAI's latest internal systems told Altman his mind was "completely blown" and that decades of theoretical physics breakthroughs are about to happen in the next couple of years. This is what nobody's paying attention to. Everyone's arguing about chatbots and which AI writes better emails. But the ACTUAL play is automated research that could reshape energy, medicine, and materials science faster than any institution can process. But Altman is also terrified of what happens when individuals get that much power. He says open source models will eventually be capable of designing pathogens. When that happens it won't matter what safety restrictions OpenAI puts on their products. The threat literally comes from everywhere. And here's the part that tells you everything about where his head is at: He won't let his own son use AI. The CEO of the most powerful AI company in history would rather be on the "late end of what's reasonable" when it comes to his kid using the technology HE built. He used to write his baby a letter every night about the decisions he was making at OpenAI. What went wrong. What he was worried about. What he decided and why. Said writing to your kid forces you to be the most honest version of yourself because you can't hide anything. His lawyers told him to stop. The man building the most powerful technology ever created was writing nightly confessions to his infant son about what he was doing. And the legal team said that's too DANGEROUS to continue. He also confirmed the first one-person billion-dollar company already exists. Built entirely by one founder using AI agents. No team. He promised not to share details until the founder announces it. And he killed Sora despite a billion-dollar Disney deal because "competing in short-form video would force OpenAI to optimize for addiction." The picture that emerges is a man who believes he's building something that could save or destroy civilization. And he's making trillion-dollar bets on the assumption he can thread that needle. - Locking up capabilities that could cure diseases because they could also engineer plagues - Deploying AI for the military while admitting he "miscalibrated" public trust - Raising a child he won't let touch the product he built That's not confidence. Sam Altman is negotiating with the future in real time and hoping he gets it right.

Ricardo

783,773 次观看 • 3 个月前

1 Make sure you read it all. The Edgar Mitchell story is ridiculous. Open your mind. "The RV [remote-viewing] experiments for me were astonishing. He was a superb remote viewer. He was a superstar." ~Dr. Kit Green - Former CIA Officer, on Uri Geller ~~~ What convinced Jacques Vallée that Geller had abilities, including being able to bend spoons? See Tweet 2. ~~~ Easily my favorite Uri Geller anecdote as told by former CIA officer, Dr. Kit Green, and Hal Puthoff, who, at the time, was a chief scientist at SRI. Green also said this about Geller: Kit Green: "Anybody who has studied Geller and seen what he does and the films of what he does recognizes that there are profound differences between what Geller does and magicians’ tricks. There’s not even a remotely qualified individual who’s ever investigated Geller who believes this orthodoxy – that it’s all trickery – has any value. It does not. There’s another issue, too. Many of the individuals who have been making a living out of debunking Geller are intellectually and morally bankrupt individuals. The RV [remote-viewing] experiments for me were astonishing. He was a superb remote viewer. He was a superstar. "It is sometimes asked why, since he was so good at remote viewing, he wasn’t officially in our elite group of remote viewers, and the reason for that is that it was his physics characteristics that were being researched very profoundly in a lot of laboratories, including government facilities. He was under review principally because he was of interest in the physics and materials science – the things that inexplicably it appeared he could do interacting with materials and electronics. In other words, we already had some outstanding remote viewers and needed Uri Geller for other, potentially even more important, matters." ~Dr. Kit Green When I first read about Geller (in Margolis' other Geller book), I had no idea who Kit Green was. Now I do, as I interviewed Green in 2019. I highly recommend this book... ~~~ Uri Geller and Edgar Mitchell - WTF? An excerpt from "The Pacific Sun, June 5th 1974. Steve McNamara (SM): "Some very strange, extra-scientific things happened with you and Geller while you were doing the experiments at SRI. Can you describe them?" Edgar Mitchell (EM): "Uri was discussing his ability to transport things; he has a story he likes to tell about transporting a camera case from Israel to New York. He kept trying to tell that story and I think he was in a fit of pique because we kept telling him to concentrate on the job at hand and quit horsing around. And so I said, 'If you're so damned smart, bring back that camera I left on the moon and I'll believe that story but in the mean time let's get on with it.' And it was within a few hours after that that two lost tie clasps of mine rematerialised, or reappeared." SM: "What were the circumstances?" EM: "Totally inexplicable things. I don't particularly like to talk about it because it reduces your credibility. But nevertheless I know something happened here that's kind of important." SM: "So what happened?" EM: "We were finishing lunch in the cafeteria at SRI and Geller was eating a dish of ice cream. He bit down on something in the ice cream and it cut his mouth so he was swearing at it. I fished it out of the ice cream, scraped it off and washed it off and was surprised to see what it was." SM: "And what was it?" EM: "It was the ornament part of a tie clasp that I had lost in Houston two years before." SM: "You are sure it was the same one?" EM: "Oh, yes, no doubt about that. And I had never been to the SRI building before and Uri had never been to Houston." SM: "Did anything else happen?" EM: "About 30 minutes later, when we had gone back to the lab, the clasp part of it fell on the floor behind Hal Puthoff. And about 30 minutes after that, as we were standing in the laboratory, this other tie pin showed up I had lost that in Houston at the same time as the other one." SM: "It must be a tremendous strain for somebody like yourself, trained scientifically, to experience things like this." EM: "Oh, it is. It's a tightrope all the time. I can accept the possibility of phenomena that I certainly can't establish in the laboratory yet. But I have seen enough that I know those are real events. What this is showing is that Geller really doesn't have control. He has an amazing ability, that causes these things to happen. We can theorize about why it is, and I think that that my theory is probably pretty close to correct, but it doesn't help us gain control. Going from this sort of happening to a well controlled experiment is a bitch. Instances such as that are likely to turn off the scientific community far more than they are to help us. So I don't talk about them. And I wish Geller would stop talking about them. Even though we know they're true and even though Puharich thinks what he is saying is true. I wish he wouldn't talk about it until we have a better handle on what it is we are dealing with." Full excerpt, including EM's theory on how people like Uri accomplish such feats. #ufoX #uapX #ufotwitter #psychic #supernatural #paranormal

1 Make sure you read it all. The Edgar Mitchell story is ridiculous. Open your mind. "The RV [remote-viewing] experiments for me were astonishing. He was a superb remote viewer. He was a superstar." ~Dr. Kit Green - Former CIA Officer, on Uri Geller ~ What convinced Jacques Vallée that Geller had abilities, including being able to bend spoons? See Tweet 2. ~ Easily my favorite Uri Geller anecdote as told by former CIA officer, Dr. Kit Green, and Hal Puthoff, who, at the time, was a chief scientist at SRI. Green also said this about Geller: Kit Green: "Anybody who has studied Geller and seen what he does and the films of what he does recognizes that there are profound differences between what Geller does and magicians’ tricks. There’s not even a remotely qualified individual who’s ever investigated Geller who believes this orthodoxy – that it’s all trickery – has any value. It does not. There’s another issue, too. Many of the individuals who have been making a living out of debunking Geller are intellectually and morally bankrupt individuals. The RV [remote-viewing] experiments for me were astonishing. He was a superb remote viewer. He was a superstar. "It is sometimes asked why, since he was so good at remote viewing, he wasn’t officially in our elite group of remote viewers, and the reason for that is that it was his physics characteristics that were being researched very profoundly in a lot of laboratories, including government facilities. He was under review principally because he was of interest in the physics and materials science – the things that inexplicably it appeared he could do interacting with materials and electronics. In other words, we already had some outstanding remote viewers and needed Uri Geller for other, potentially even more important, matters." ~Dr. Kit Green When I first read about Geller (in Margolis' other Geller book), I had no idea who Kit Green was. Now I do, as I interviewed Green in 2019. I highly recommend this book... ~~~ Uri Geller and Edgar Mitchell - WTF? An excerpt from "The Pacific Sun, June 5th 1974. Steve McNamara (SM): "Some very strange, extra-scientific things happened with you and Geller while you were doing the experiments at SRI. Can you describe them?" Edgar Mitchell (EM): "Uri was discussing his ability to transport things; he has a story he likes to tell about transporting a camera case from Israel to New York. He kept trying to tell that story and I think he was in a fit of pique because we kept telling him to concentrate on the job at hand and quit horsing around. And so I said, 'If you're so damned smart, bring back that camera I left on the moon and I'll believe that story but in the mean time let's get on with it.' And it was within a few hours after that that two lost tie clasps of mine rematerialised, or reappeared." SM: "What were the circumstances?" EM: "Totally inexplicable things. I don't particularly like to talk about it because it reduces your credibility. But nevertheless I know something happened here that's kind of important." SM: "So what happened?" EM: "We were finishing lunch in the cafeteria at SRI and Geller was eating a dish of ice cream. He bit down on something in the ice cream and it cut his mouth so he was swearing at it. I fished it out of the ice cream, scraped it off and washed it off and was surprised to see what it was." SM: "And what was it?" EM: "It was the ornament part of a tie clasp that I had lost in Houston two years before." SM: "You are sure it was the same one?" EM: "Oh, yes, no doubt about that. And I had never been to the SRI building before and Uri had never been to Houston." SM: "Did anything else happen?" EM: "About 30 minutes later, when we had gone back to the lab, the clasp part of it fell on the floor behind Hal Puthoff. And about 30 minutes after that, as we were standing in the laboratory, this other tie pin showed up I had lost that in Houston at the same time as the other one." SM: "It must be a tremendous strain for somebody like yourself, trained scientifically, to experience things like this." EM: "Oh, it is. It's a tightrope all the time. I can accept the possibility of phenomena that I certainly can't establish in the laboratory yet. But I have seen enough that I know those are real events. What this is showing is that Geller really doesn't have control. He has an amazing ability, that causes these things to happen. We can theorize about why it is, and I think that that my theory is probably pretty close to correct, but it doesn't help us gain control. Going from this sort of happening to a well controlled experiment is a bitch. Instances such as that are likely to turn off the scientific community far more than they are to help us. So I don't talk about them. And I wish Geller would stop talking about them. Even though we know they're true and even though Puharich thinks what he is saying is true. I wish he wouldn't talk about it until we have a better handle on what it is we are dealing with." Full excerpt, including EM's theory on how people like Uri accomplish such feats. #ufoX #uapX #ufotwitter #psychic #supernatural #paranormal

Joe Murgia

108,187 次观看 • 2 年前

September 2009. Jensen Huang walks onto a small stage at the Fairmont hotel in San Jose. About 1,500 people are in the room. He runs a company that makes chips for video games. He spends the next 8 minutes doing math on a whiteboard, explaining why the future of computing won't come from making CPUs faster. He calls it "CEO math" and apologizes in advance to every computer science professor in the audience. Then he lays out an argument that almost nobody took seriously at the time: the way to make computers dramatically faster is to pair a regular CPU with hundreds of tiny parallel processors, the kind that already exist inside graphics cards. One CPU for the sequential stuff. Hundreds of GPU cores for everything else. He calls it "heterogeneous computing." He shows the math. A workload that can be split into many pieces at once gets up to 200x faster on this combined system. A workload that has to run one step at a time loses nothing. "The most important thing in creating a new architecture," he says, "is to make sure it does no harm." This was the first GPU Technology Conference. NVIDIA had launched a software platform called CUDA three years earlier, in 2006, to let developers write programs that run on graphics cards instead of just regular processors. Almost nobody cared. GPUs were for rendering Call of Duty, not for scientific computing. The academic world was polite but skeptical. The enterprise world ignored it entirely. By this point, Huang had been making this argument for years. NVIDIA was a $7 billion company. It competed with AMD and Intel for market share in the graphics market. That was the whole business. Jensen kept saying the GPU wasn't just a gaming chip; it was a computing platform. He kept saying parallel processing would reshape every industry from medicine to finance to physics simulations. People kept nodding, then doing nothing. Then deep learning happened. Around 2012, AI researchers discovered that training a neural network, which means teaching a computer to recognize patterns by running the same calculation millions of times across huge datasets, was exactly the kind of workload Jensen had been describing. GPUs can train AI models 10 to 50 times faster than CPUs. The architecture he outlined in this 2009 talk, with one CPU handling step-by-step tasks while hundreds of GPU cores crunch through massive amounts of parallel data, is now the literal blueprint for every AI data center on earth. ChatGPT runs on NVIDIA GPUs. Claude runs on NVIDIA GPUs. Gemini, Llama, Midjourney, nearly every major AI model you've heard of was trained on NVIDIA hardware using CUDA, the software platform Jensen built for a market that didn't exist yet. NVIDIA was worth about $7 billion when Jensen gave this talk. It is worth over $4.4 trillion today. That's a 600x increase. Jensen Huang, who founded the company at a Denny's in 1993 with two friends, now has a net worth of over $160 billion. He made Forbes' list of the 10 richest people for the first time this year. GTC 2026 is currently ongoing. 17,000 people are packing a hockey arena to watch the same guy explain what comes next. In 2009, 1,500 people showed up at a hotel ballroom, most of them for gaming graphics.

September 2009. Jensen Huang walks onto a small stage at the Fairmont hotel in San Jose. About 1,500 people are in the room. He runs a company that makes chips for video games. He spends the next 8 minutes doing math on a whiteboard, explaining why the future of computing won't come from making CPUs faster. He calls it "CEO math" and apologizes in advance to every computer science professor in the audience. Then he lays out an argument that almost nobody took seriously at the time: the way to make computers dramatically faster is to pair a regular CPU with hundreds of tiny parallel processors, the kind that already exist inside graphics cards. One CPU for the sequential stuff. Hundreds of GPU cores for everything else. He calls it "heterogeneous computing." He shows the math. A workload that can be split into many pieces at once gets up to 200x faster on this combined system. A workload that has to run one step at a time loses nothing. "The most important thing in creating a new architecture," he says, "is to make sure it does no harm." This was the first GPU Technology Conference. NVIDIA had launched a software platform called CUDA three years earlier, in 2006, to let developers write programs that run on graphics cards instead of just regular processors. Almost nobody cared. GPUs were for rendering Call of Duty, not for scientific computing. The academic world was polite but skeptical. The enterprise world ignored it entirely. By this point, Huang had been making this argument for years. NVIDIA was a $7 billion company. It competed with AMD and Intel for market share in the graphics market. That was the whole business. Jensen kept saying the GPU wasn't just a gaming chip; it was a computing platform. He kept saying parallel processing would reshape every industry from medicine to finance to physics simulations. People kept nodding, then doing nothing. Then deep learning happened. Around 2012, AI researchers discovered that training a neural network, which means teaching a computer to recognize patterns by running the same calculation millions of times across huge datasets, was exactly the kind of workload Jensen had been describing. GPUs can train AI models 10 to 50 times faster than CPUs. The architecture he outlined in this 2009 talk, with one CPU handling step-by-step tasks while hundreds of GPU cores crunch through massive amounts of parallel data, is now the literal blueprint for every AI data center on earth. ChatGPT runs on NVIDIA GPUs. Claude runs on NVIDIA GPUs. Gemini, Llama, Midjourney, nearly every major AI model you've heard of was trained on NVIDIA hardware using CUDA, the software platform Jensen built for a market that didn't exist yet. NVIDIA was worth about $7 billion when Jensen gave this talk. It is worth over $4.4 trillion today. That's a 600x increase. Jensen Huang, who founded the company at a Denny's in 1993 with two friends, now has a net worth of over $160 billion. He made Forbes' list of the 10 richest people for the first time this year. GTC 2026 is currently ongoing. 17,000 people are packing a hockey arena to watch the same guy explain what comes next. In 2009, 1,500 people showed up at a hotel ballroom, most of them for gaming graphics.

Anish Moonka

412,579 次观看 • 3 个月前