正在加载视频...

视频加载失败

返回首页

Exploring higher-dimensional math through 3D: algebraic topology surfaces, parametric equations, curvature data, custom shaders, animated previews, and an interactive interface for studying abstract geometry.

techartist_'s profile picture

Techartist

15,297 subscribers

14,375 次观看 • 2 个月前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Built an interactive 3D TPMS atlas exploring mathematical surfaces through procedural shaders, volumetric field computation and realtime topology visualisation.
0:10

Built an interactive 3D TPMS atlas exploring mathematical surfaces through procedural shaders, volumetric field computation and realtime topology visualisation.

Techartist

25,221 次观看 • 4 个月前

👀 Ever see a 3D sci-fi energy shield like this? Realtime, interactive (per-tile), procedurally animated, and has layers of shaders with particle effects - I wanted to make something unique and "technically advanced", but also modular for performance scaling. It's straightforward to address individual tiles and hook in your own effects and calls with custom events. I'll be posting this very soon (for Unity URP).
0:13

👀 Ever see a 3D sci-fi energy shield like this? Realtime, interactive (per-tile), procedurally animated, and has layers of shaders with particle effects - I wanted to make something unique and "technically advanced", but also modular for performance scaling. It's straightforward to address individual tiles and hook in your own effects and calls with custom events. I'll be posting this very soon (for Unity URP).

Mirza Beig

100,101 次观看 • 1 年前

The Fondant Custom Normals Blender addon is being tested, and we're aiming for a 1.0 release next week! The first feature is the Weighted Normals + Laplacian Smoothing Geometry Nodes modifier. This let's you calculate Normals that are as clean as a nice quad mesh even if your topology is a mess and triangulated! We'll be following up with more tools to support creating high quality Normals for 3D anime and vtuber characters. We have an optimized adjustable Face Normal Transfer proxy mesh nearly ready to go. Check out the Docs to see more about the Addon's features and workflow (link in the reply.)
0:38

The Fondant Custom Normals Blender addon is being tested, and we're aiming for a 1.0 release next week! The first feature is the Weighted Normals + Laplacian Smoothing Geometry Nodes modifier. This let's you calculate Normals that are as clean as a nice quad mesh even if your topology is a mess and triangulated! We'll be following up with more tools to support creating high quality Normals for 3D anime and vtuber characters. We have an optimized adjustable Face Normal Transfer proxy mesh nearly ready to go. Check out the Docs to see more about the Addon's features and workflow (link in the reply.)

aVersionOfReality

54,146 次观看 • 1 年前

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.
0:11

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

Alex Barashkov

28,300 次观看 • 1 个月前

I built a full 3D #lego brick builder using Claude 4.6. Took 12 iterations. Runs entirely in the browser. You pick a brick size, pick a color, and click to place. Snap-to-grid, collision detection, ghost preview, it feels like building with real bricks. But the fun part? Hit one of the template buttons and watch it auto-build a pyramid, a rocket, a house, or an Eiffel Tower. Bricks fly in from random directions, spin through the air, and snap into place with particle bursts. tech stack: → #Threejs for the full 3D scene → #Raycasting for click-to-place → Custom wedge geometry for slope bricks → Quadratic Bézier curves for the fly-in animations → #2d canvas particle system layered on top of the 3D scene → #InstancedMesh for the base plate studs The product potential: this could become a real educational toy. Kids (or adults) building in the browser, sharing creations, loading custom templates. No install, no app store. ( LEGO you may like this one! ) Want to try it? Link in the first comment 👇
0:17

I built a full 3D #lego brick builder using Claude 4.6. Took 12 iterations. Runs entirely in the browser. You pick a brick size, pick a color, and click to place. Snap-to-grid, collision detection, ghost preview, it feels like building with real bricks. But the fun part? Hit one of the template buttons and watch it auto-build a pyramid, a rocket, a house, or an Eiffel Tower. Bricks fly in from random directions, spin through the air, and snap into place with particle bursts. tech stack: → #Threejs for the full 3D scene → #Raycasting for click-to-place → Custom wedge geometry for slope bricks → Quadratic Bézier curves for the fly-in animations → #2d canvas particle system layered on top of the 3D scene → #InstancedMesh for the base plate studs The product potential: this could become a real educational toy. Kids (or adults) building in the browser, sharing creations, loading custom templates. No install, no app store. ( LEGO you may like this one! ) Want to try it? Link in the first comment 👇

Hasan Aboul Hasan

13,762 次观看 • 5 个月前

Math. A rare peek from within a "Gyroid," a fascinating minimal surface in geometry that separates space into two oppositely congruent labyrinths of passages. By Andrea Belloni, Water flowing | anbello.eth | anbello.tez, Used with permission. This infinitely extending "labyrinth" surface divides all of space into two identical, intertwined, mirror-image passages: without ever intersecting itself. Discovered by mathematician Alan Schoen in 1970, it's a triply periodic minimal surface (zero mean curvature everywhere, like a soap film), with no straight lines or mirror symmetry. It can be approximated by the surprisingly simple equation: sin(x)cos(y) + sin(y)cos(z) + sin(z)cos(x) = 0. Nature loves it too: gyroid nanostructures in butterfly wing scales create iridescent colors through light interference, and similar forms appear in cell membranes, polymers, and even ketchup-like fluids. It's a superstar in materials science for lightweight, strong 3D-printed structures and photonic crystals.
0:13

Math. A rare peek from within a "Gyroid," a fascinating minimal surface in geometry that separates space into two oppositely congruent labyrinths of passages. By Andrea Belloni, Water flowing | anbello.eth | anbello.tez, Used with permission. This infinitely extending "labyrinth" surface divides all of space into two identical, intertwined, mirror-image passages: without ever intersecting itself. Discovered by mathematician Alan Schoen in 1970, it's a triply periodic minimal surface (zero mean curvature everywhere, like a soap film), with no straight lines or mirror symmetry. It can be approximated by the surprisingly simple equation: sin(x)cos(y) + sin(y)cos(z) + sin(z)cos(x) = 0. Nature loves it too: gyroid nanostructures in butterfly wing scales create iridescent colors through light interference, and similar forms appear in cell membranes, polymers, and even ketchup-like fluids. It's a superstar in materials science for lightweight, strong 3D-printed structures and photonic crystals.

Cliff Pickover

41,176 次观看 • 4 个月前

OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.
0:10

OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.

Rohan Paul

178,460 次观看 • 11 个月前

Two weeks ago I fixed one of my teeth with algorithms I wrote a couple of years ago! I got hooked by 3D scanning when I started to work for a software shop in Zurich that was programming 3D computational geometry algorithms for denture scanning to produce crowns (and more). Back then, a typical reconstruction pipeline was like: scan the patient’s teeth using an intraoral scanner, reconstruct the surface mesh, design the restoration digitally, and finally mill the crown out of ceramic. We were working mostly with point clouds and meshes, but it wasn’t just math, it was craftsmanship translated into a digital process. Every micron mattered. You could literally see how a good algorithm meant a better fit in someone’s mouth. Gaussian Splatting isn’t about surface reconstruction, it’s about appearance reconstruction. It doesn’t care about explicit topology, it captures how light interacts with the scene. In a sense, it’s the opposite philosophy of the dental world: instead of modeling what the object is, it models how the object looks. 3D Gaussian Splatting enables applications like training self driving cars, teaching robots to understand their environment, creating virtual worlds, or monitoring real sites. It represents scenes as millions of small Gaussians rendered in real time without the need for meshes or textures. Coming from a world where precision geometry was everything, this shift felt natural. It’s still about reconstruction, but with a different goal: not manufacturing a perfect object, but reproducing how the world actually looks. Two weeks ago I got my first dental crown, made with the same software, reconstruction algorithms, and Swiss precision I once helped develop. I haven’t worked there in two years, but sitting in that chair and seeing the process from the other side was a proud moment. It reminded me why I love this field.
0:18

Two weeks ago I fixed one of my teeth with algorithms I wrote a couple of years ago! I got hooked by 3D scanning when I started to work for a software shop in Zurich that was programming 3D computational geometry algorithms for denture scanning to produce crowns (and more). Back then, a typical reconstruction pipeline was like: scan the patient’s teeth using an intraoral scanner, reconstruct the surface mesh, design the restoration digitally, and finally mill the crown out of ceramic. We were working mostly with point clouds and meshes, but it wasn’t just math, it was craftsmanship translated into a digital process. Every micron mattered. You could literally see how a good algorithm meant a better fit in someone’s mouth. Gaussian Splatting isn’t about surface reconstruction, it’s about appearance reconstruction. It doesn’t care about explicit topology, it captures how light interacts with the scene. In a sense, it’s the opposite philosophy of the dental world: instead of modeling what the object is, it models how the object looks. 3D Gaussian Splatting enables applications like training self driving cars, teaching robots to understand their environment, creating virtual worlds, or monitoring real sites. It represents scenes as millions of small Gaussians rendered in real time without the need for meshes or textures. Coming from a world where precision geometry was everything, this shift felt natural. It’s still about reconstruction, but with a different goal: not manufacturing a perfect object, but reproducing how the world actually looks. Two weeks ago I got my first dental crown, made with the same software, reconstruction algorithms, and Swiss precision I once helped develop. I haven’t worked there in two years, but sitting in that chair and seeing the process from the other side was a proud moment. It reminded me why I love this field.

MrNeRF

290,257 次观看 • 10 个月前

One of my first MiniMax H3 tests Omni Reference worked really well here. I only provided references for the woman, the man and the horse and then used the prompt below 👇 Prompt: Use @ Image1 as the man reference. Use @ Image2 as the woman reference. Use @ Image3 as the horse reference. Create a surreal 15-second fashion-film sequence inside a minimalist monochrome blue studio. The woman performs an elegant contemporary dance. The man casually walks into frame wearing a completely serious expression. Without explanation, he immediately joins the choreography. His movements are awkward, strangely confident, almost ritualistic. The woman never acknowledges him. The horse behaves as though both dancers are part of its routine. It wanders through the studio. Runs behind them. Appears from impossible places. Stops. Looks directly into the camera. Leaves. Returns again. Sometimes all three performers accidentally synchronize for one beat before drifting apart again. The choreography becomes increasingly absurd but remains perfectly cinematic. Every movement is intentional. Every frame feels designed. Throughout the sequence, premium kinetic typography appears as part of the composition, not subtitles, but editorial motion graphics inspired by high-end After Effects title design. Animated words flash for only a few frames: THE GARDENER. THE DRIVER. THE HORSE. THE WOMAN. KNIFE. MOVE. FASTER. AGAIN. THE EXIT. These words slam into frame, wrap around the dancers, disappear behind bodies, stretch with motion blur, rotate in 3D, fragment into pieces, reveal through masks, pulse with the bass, smear across cuts, become oversized, tiny, vertical, upside down, and constantly transform using premium motion-design techniques. Add abstract editorial graphics: animated arrows, circles, blueprint lines, tape labels, interface markers, halftone textures, scribbles, grain, tracking graphics, geometric overlays, chromatic aberration, liquid masks, flash frames, split screens, typography trails, speed ramps and graphic wipes. Music evolves into strange electronic art-pop. Analog synths. Mechanical breathing. Heavy bass. Everything is synchronized to the rhythm. Final close-up. The woman whispers: "Again." The man quietly smiles for the first time. The horse suddenly sprints directly toward the camera. The word AGAIN. fills the screen before an instant cut to black.
0:15

One of my first MiniMax H3 tests Omni Reference worked really well here. I only provided references for the woman, the man and the horse and then used the prompt below 👇 Prompt: Use @ Image1 as the man reference. Use @ Image2 as the woman reference. Use @ Image3 as the horse reference. Create a surreal 15-second fashion-film sequence inside a minimalist monochrome blue studio. The woman performs an elegant contemporary dance. The man casually walks into frame wearing a completely serious expression. Without explanation, he immediately joins the choreography. His movements are awkward, strangely confident, almost ritualistic. The woman never acknowledges him. The horse behaves as though both dancers are part of its routine. It wanders through the studio. Runs behind them. Appears from impossible places. Stops. Looks directly into the camera. Leaves. Returns again. Sometimes all three performers accidentally synchronize for one beat before drifting apart again. The choreography becomes increasingly absurd but remains perfectly cinematic. Every movement is intentional. Every frame feels designed. Throughout the sequence, premium kinetic typography appears as part of the composition, not subtitles, but editorial motion graphics inspired by high-end After Effects title design. Animated words flash for only a few frames: THE GARDENER. THE DRIVER. THE HORSE. THE WOMAN. KNIFE. MOVE. FASTER. AGAIN. THE EXIT. These words slam into frame, wrap around the dancers, disappear behind bodies, stretch with motion blur, rotate in 3D, fragment into pieces, reveal through masks, pulse with the bass, smear across cuts, become oversized, tiny, vertical, upside down, and constantly transform using premium motion-design techniques. Add abstract editorial graphics: animated arrows, circles, blueprint lines, tape labels, interface markers, halftone textures, scribbles, grain, tracking graphics, geometric overlays, chromatic aberration, liquid masks, flash frames, split screens, typography trails, speed ramps and graphic wipes. Music evolves into strange electronic art-pop. Analog synths. Mechanical breathing. Heavy bass. Everything is synchronized to the rhythm. Final close-up. The woman whispers: "Again." The man quietly smiles for the first time. The horse suddenly sprints directly toward the camera. The word AGAIN. fills the screen before an instant cut to black.

Ege

20,948 次观看 • 1 个月前

I learned this the hard way: do NOT use SwiftUI if you want your app to look and feel amazing. At least when coding with AI. (sorry, Apple colleagues reading this 😅) I'm sharing my process vibe coding this calorie tracker. I get a lot of questions about the fluid transition in the video. Here's the whole story. Initially, Claude built the grid with SwiftUI. It was quick and easy, and looked good! But the transition to the day view was a boring navigation push/pop. No fun. I wanted something custom. I asked Claude to make it a fluid transition that remaps the food tiles from their source to destination positions. All hell broke loose. Claude tried a bunch of horrible things. Initially it used matched geometry effects, which worked OK but didn't lend themselves well to gesture-driven animations. So it resorted to SwiftUI preference keys + geometry readers to figure out the source and destination positions and calculate the interpolated position based on gesture progress, coordinating across grid and day views. But this meant it had to write a custom layout because it couldn't reposition tiles inside the native SwiftUI grid. And it had to do an awkward handoff between views, which always created ugly pops or jumps. And don't get me started on trying to put it on a bouncy spring, that only made the math 10x buggier. Fortunately, Claude Fable was smart enough to see that this was becoming a disaster (and discover most of the issues itself, in the simulator), so it pivoted away from SwiftUI. Opus might not be so wise, so you'll have to pay attention and intervene. Ultimately, it rewrote it in plain UIKit and everything turned out great. After that, we moved from 2D images to 3D assets, which introduced a new set of performance challenges and yet another rewrite to a single Metal layer, which is what you see below. I can write more about the 2D-to-3D saga if anyone's interested. If I were to do it again, I'd just say "Don't use SwiftUI" from the very first prompt, and save a few hours of headaches. SwiftUI can be amazing for a human iterating directly in code. But agents don't benefit from any of its advantages. Plus, agents have seen decades of UIKit training data, so they're great at writing it, and it's far more flexible. Here's hoping we see more agent-friendly iterations of SwiftUI in the future. Till then, I'm probably going to avoid it.
0:12

I learned this the hard way: do NOT use SwiftUI if you want your app to look and feel amazing. At least when coding with AI. (sorry, Apple colleagues reading this 😅) I'm sharing my process vibe coding this calorie tracker. I get a lot of questions about the fluid transition in the video. Here's the whole story. Initially, Claude built the grid with SwiftUI. It was quick and easy, and looked good! But the transition to the day view was a boring navigation push/pop. No fun. I wanted something custom. I asked Claude to make it a fluid transition that remaps the food tiles from their source to destination positions. All hell broke loose. Claude tried a bunch of horrible things. Initially it used matched geometry effects, which worked OK but didn't lend themselves well to gesture-driven animations. So it resorted to SwiftUI preference keys + geometry readers to figure out the source and destination positions and calculate the interpolated position based on gesture progress, coordinating across grid and day views. But this meant it had to write a custom layout because it couldn't reposition tiles inside the native SwiftUI grid. And it had to do an awkward handoff between views, which always created ugly pops or jumps. And don't get me started on trying to put it on a bouncy spring, that only made the math 10x buggier. Fortunately, Claude Fable was smart enough to see that this was becoming a disaster (and discover most of the issues itself, in the simulator), so it pivoted away from SwiftUI. Opus might not be so wise, so you'll have to pay attention and intervene. Ultimately, it rewrote it in plain UIKit and everything turned out great. After that, we moved from 2D images to 3D assets, which introduced a new set of performance challenges and yet another rewrite to a single Metal layer, which is what you see below. I can write more about the 2D-to-3D saga if anyone's interested. If I were to do it again, I'd just say "Don't use SwiftUI" from the very first prompt, and save a few hours of headaches. SwiftUI can be amazing for a human iterating directly in code. But agents don't benefit from any of its advantages. Plus, agents have seen decades of UIKit training data, so they're great at writing it, and it's far more flexible. Here's hoping we see more agent-friendly iterations of SwiftUI in the future. Till then, I'm probably going to avoid it.

Anshu

115,181 次观看 • 2 个月前

Grok Summary of Neuralink’s “Two Years of Telepathy” Update Neuralink’s Telepathy is their pioneering brain-computer interface (BCI) aimed at restoring independence for people with paralysis by translating neural signals into digital commands for controlling devices like computers, phones, and robotic limbs. The article reflects on two years of progress, highlighting clinical trials with 21 participants (Neuralnauts), technical breakthroughs, personal stories of transformation, challenges, and ambitious future goals. • Key Milestones: Enrolled 21 participants worldwide; achieved information transfer rates over 10 bits per second (surpassing able-bodied mouse control); developed a mental ten-finger keyboard for typing up to 40 words per minute; launched the VOICE trial for real-time speech restoration targeting 140 words per minute; expanded trials from three in 2024 to multiple per month in 2025, with no serious device-related adverse events. • Patient Experiences and Impacts: ◦ Noland (first recipient, spinal cord injury): Regained independence for studying, reading, and college (best grades ever); describes it as reclaiming lost life. ◦Nick (paralyzed four years): Controls robotic arm for tasks like feeding; feels natural gestures, restoring a sense of movement. ◦Sebastian (medical student, recent injury): Uses for 17 hours daily to annotate papers and multitask in lectures, boosting productivity. ◦Audrey (20-year injury): Creates abstract art, gains online fame, plans a gallery; feels her mind “a little free.” ◦Jake (ALS): Uses mental keyboard for tasks; sees himself as a “superhero” for his son. ◦Brad (ALS): Controls wheelchair camera to watch his son at events; views ALS as an opportunity for innovation. • Technical Advancements: Translates thoughts into intuitive cursor/robotic control; detects bilateral hand signals from single-sided implants; adapts to individual brain variations during surgery; upcoming upgrades include tripling electrodes to 3000 and exploring less invasive insertion methods. • Challenges: Variations in brain anatomy and disease stages affect performance; early thread retraction issues addressed; communication loss in ALS patients (up to 95% decline ventilation); need for faster, more natural control. • Future Plans: Enhance hardware and procedures for consistency; advance speech restoration; accelerate enrollments; invite quadriplegic individuals (from spinal cord injury, ALS, or stroke) to join the patient registry; seek talent to scale solutions.
0:12

Grok Summary of Neuralink’s “Two Years of Telepathy” Update Neuralink’s Telepathy is their pioneering brain-computer interface (BCI) aimed at restoring independence for people with paralysis by translating neural signals into digital commands for controlling devices like computers, phones, and robotic limbs. The article reflects on two years of progress, highlighting clinical trials with 21 participants (Neuralnauts), technical breakthroughs, personal stories of transformation, challenges, and ambitious future goals. • Key Milestones: Enrolled 21 participants worldwide; achieved information transfer rates over 10 bits per second (surpassing able-bodied mouse control); developed a mental ten-finger keyboard for typing up to 40 words per minute; launched the VOICE trial for real-time speech restoration targeting 140 words per minute; expanded trials from three in 2024 to multiple per month in 2025, with no serious device-related adverse events. • Patient Experiences and Impacts: ◦ Noland (first recipient, spinal cord injury): Regained independence for studying, reading, and college (best grades ever); describes it as reclaiming lost life. ◦Nick (paralyzed four years): Controls robotic arm for tasks like feeding; feels natural gestures, restoring a sense of movement. ◦Sebastian (medical student, recent injury): Uses for 17 hours daily to annotate papers and multitask in lectures, boosting productivity. ◦Audrey (20-year injury): Creates abstract art, gains online fame, plans a gallery; feels her mind “a little free.” ◦Jake (ALS): Uses mental keyboard for tasks; sees himself as a “superhero” for his son. ◦Brad (ALS): Controls wheelchair camera to watch his son at events; views ALS as an opportunity for innovation. • Technical Advancements: Translates thoughts into intuitive cursor/robotic control; detects bilateral hand signals from single-sided implants; adapts to individual brain variations during surgery; upcoming upgrades include tripling electrodes to 3000 and exploring less invasive insertion methods. • Challenges: Variations in brain anatomy and disease stages affect performance; early thread retraction issues addressed; communication loss in ALS patients (up to 95% decline ventilation); need for faster, more natural control. • Future Plans: Enhance hardware and procedures for consistency; advance speech restoration; accelerate enrollments; invite quadriplegic individuals (from spinal cord injury, ALS, or stroke) to join the patient registry; seek talent to scale solutions.

DogeDesigner

17,651 次观看 • 7 个月前

This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.
0:10

This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.

Blaze

38,242 次观看 • 4 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.
0:11

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

180,578 次观看 • 1 个月前

🚨PREPARE FOR A -20% MARKET DROP: Everyone thinks the Iran conflict is an oil story. It’s not. Let me explain what this is really about. The Strait of Hormuz has been closed for 8 days. Markets are focused on crude prices. That’s the wrong variable. The real cascade nobody’s mapping: 92% of the world’s sulfur comes from refining oil and gas. Close Hormuz, you don’t just lose 20 million barrels of crude per day. You lose the feedstock for sulfuric acid m, the single most produced chemical on Earth. Sulfuric acid is how we extract copper. How we extract cobalt. Without it, you can’t make transformers, EV batteries, or the substrates inside every data center on the planet. One chemical. One feedstock. One 21-nautical-mile chokepoint. It gets worse. Qatar ships 30% of Taiwan’s LNG through Hormuz. Taiwan has 11 days of reserves. $TSMC, the company making 90% of the world’s advanced chips, draws 8.9% of Taiwan’s entire electricity grid. No gas → no power → no chips. Then food. 33% of global nitrogen fertilizer feedstock moves through that same strait. Half of all humans alive exist because of synthetic nitrogen. Sulfur. Semiconductors. Food. Three supply chains. One chokepoint. Zero domestic alternatives at scale. The economic math from here: Oil holds $80-100+ per barrel if closure persists beyond weeks. Inflation climbs 0.5-1% above baseline. Fed delays rate cuts, 1-2 reductions instead of 3. GDP growth slows to 1.5-2%. Stagflation risk over the next 3-6 months is real. S&P/Nasdaq: 5-10% correction base case. Tech/growth down 10-15% on higher yields and risk-off. Energy and defensives up 5-10%. Market is currently pricing a 4-week conflict duration. If this extends? 15-20% drawdown. What I’m watching: The US objective isn’t just degrading Iran’s military. It’s economic strangulation, destroy the refinery infrastructure, induce blackouts, impair logistics, accelerate regime instability without a full ground invasion. The short-term pain is intentional and accepted. The strategic calculus: weaken Iran’s ability to project power, sever proxy support, and neutralize a nuclear threat permanently. China feels this differently. Iran was supplying 1M+ barrels daily of discounted sanctioned crude. That’s gone. Now Beijing is forced into costlier alternatives while already under U.S. economic pressure. This isn’t about oil. Oil is just the vector. The real targets are the supply chains that run through it. How I’m positioning into this: If this escalates and markets reprice, here’s my expected drawdown map on BETA stocks: > $ASTS, -15 to -35% (beta amplification, rate sensitivity in space telecom) > $IREN, -20 to -30% (rising energy costs crushing margins) > $CIFR, 15-20% (rising energy costs crushing margins) > $AMPX, -15 to -30% (cobalt + sulfur supply chain disruption hits batteries hard) > $RKLB, -10% to 25% (higher yields compressing aerospace valuations) > $ONDS, -10% to 25% (industrial wireless demand slowdown in tight credit) > $NBIS, -5% to 20% (AI cloud risk-off but lower beta buffers the downside) > $KRKNF, -5% to 15% (low beta, robotics holds relatively well) > $OSS, -5% to 15% (hardware stability, limited tech sector contagion) I still hold cash. That cash exists for exactly this scenario. My plan: I don’t hold enough cash as of now, which is why my strategy will be to buy the hardest-hit names on the way down, DCA monthly through the pressure, and let the timeline work. If this plays out as I expect, escalation through summer, then resolution, the relief rally sets up Oct/Nov. That’s 7-8 months of accumulation before the market re-rates. The biggest mistakes in geopolitical dislocations are panic selling and waiting for the all-clear. By the time the all-clear comes, the move is already over. Note: This is not financial advice.
0:14

🚨PREPARE FOR A -20% MARKET DROP: Everyone thinks the Iran conflict is an oil story. It’s not. Let me explain what this is really about. The Strait of Hormuz has been closed for 8 days. Markets are focused on crude prices. That’s the wrong variable. The real cascade nobody’s mapping: 92% of the world’s sulfur comes from refining oil and gas. Close Hormuz, you don’t just lose 20 million barrels of crude per day. You lose the feedstock for sulfuric acid m, the single most produced chemical on Earth. Sulfuric acid is how we extract copper. How we extract cobalt. Without it, you can’t make transformers, EV batteries, or the substrates inside every data center on the planet. One chemical. One feedstock. One 21-nautical-mile chokepoint. It gets worse. Qatar ships 30% of Taiwan’s LNG through Hormuz. Taiwan has 11 days of reserves. $TSMC, the company making 90% of the world’s advanced chips, draws 8.9% of Taiwan’s entire electricity grid. No gas → no power → no chips. Then food. 33% of global nitrogen fertilizer feedstock moves through that same strait. Half of all humans alive exist because of synthetic nitrogen. Sulfur. Semiconductors. Food. Three supply chains. One chokepoint. Zero domestic alternatives at scale. The economic math from here: Oil holds $80-100+ per barrel if closure persists beyond weeks. Inflation climbs 0.5-1% above baseline. Fed delays rate cuts, 1-2 reductions instead of 3. GDP growth slows to 1.5-2%. Stagflation risk over the next 3-6 months is real. S&P/Nasdaq: 5-10% correction base case. Tech/growth down 10-15% on higher yields and risk-off. Energy and defensives up 5-10%. Market is currently pricing a 4-week conflict duration. If this extends? 15-20% drawdown. What I’m watching: The US objective isn’t just degrading Iran’s military. It’s economic strangulation, destroy the refinery infrastructure, induce blackouts, impair logistics, accelerate regime instability without a full ground invasion. The short-term pain is intentional and accepted. The strategic calculus: weaken Iran’s ability to project power, sever proxy support, and neutralize a nuclear threat permanently. China feels this differently. Iran was supplying 1M+ barrels daily of discounted sanctioned crude. That’s gone. Now Beijing is forced into costlier alternatives while already under U.S. economic pressure. This isn’t about oil. Oil is just the vector. The real targets are the supply chains that run through it. How I’m positioning into this: If this escalates and markets reprice, here’s my expected drawdown map on BETA stocks: > $ASTS, -15 to -35% (beta amplification, rate sensitivity in space telecom) > $IREN, -20 to -30% (rising energy costs crushing margins) > $CIFR, 15-20% (rising energy costs crushing margins) > $AMPX, -15 to -30% (cobalt + sulfur supply chain disruption hits batteries hard) > $RKLB, -10% to 25% (higher yields compressing aerospace valuations) > $ONDS, -10% to 25% (industrial wireless demand slowdown in tight credit) > $NBIS, -5% to 20% (AI cloud risk-off but lower beta buffers the downside) > $KRKNF, -5% to 15% (low beta, robotics holds relatively well) > $OSS, -5% to 15% (hardware stability, limited tech sector contagion) I still hold cash. That cash exists for exactly this scenario. My plan: I don’t hold enough cash as of now, which is why my strategy will be to buy the hardest-hit names on the way down, DCA monthly through the pressure, and let the timeline work. If this plays out as I expect, escalation through summer, then resolution, the relief rally sets up Oct/Nov. That’s 7-8 months of accumulation before the market re-rates. The biggest mistakes in geopolitical dislocations are panic selling and waiting for the all-clear. By the time the all-clear comes, the move is already over. Note: This is not financial advice.

Black Panther Capital

1,747,283 次观看 • 6 个月前

🚨 THE UNIVERSE HAS BEEN HACKED! THE SOURCE CODE IS NOW OPEN SOURCE. THE SOLAR SYSTEM IS LITERALLY A GIANT ATOM. RUN THE SCRIPT AND TEST THE HARVARD & NASA DATABASES YOURSELF! For 100 years, textbooks have taught that the Solar System is just a bunch of rocks floating randomly in a continuous, empty space (ℝ⁴). That is mathematically and physically false. Space is rigidly quantized. We have executed a massive dual-scale empirical audit of the complete Harvard-Smithsonian Minor Planet Center (MPC) database—a staggering 1,561,930 celestial objects and 951 comets. We did not use a computer simulation. We used a direct uplink to the official, daily-updated global registry of every known rock in space. The ultimate topological illusion has been destroyed. The cosmos and the quantum realm are running the exact same executable file. The Solar System is a Macroscopic Atom. Galaxies are Macroscopic Molecules. Here is the ultimate, multi-layered proof. 🧬 I. THE BIOLOGICAL ORIGIN: WE PORTED THE CODE FROM DNA Here is the revelation that shatters the mainstream divide between disciplines: We didn't just "guess" the algorithms of celestial mechanics by looking at telescopes. We extracted the mathematical descent operator directly from Biology. Dr. Jean-Claude Perez jean-claude perez (retired IBM Artificial Intelligence Research Centre), working in deep collaboration with Nobel Laureate Dr. Luc Montagnier, didn't find the geometric limits of reality by looking at stars. They found them by decoding the bio-atomic masses of life's foundational elements (C, O, N, H) inside human DNA. They discovered that the building blocks of life are mathematically filtered through a competitive geometric differentiation, yielding a universal projection coefficient bounded by the Golden Ratio (φ) and π: Proj(m) = [1 - 4φ^(7/2)π]m The exact same Diophantine mathematical constraints that assemble your genetic code also assemble the periodic table of elements—and we have now proven they construct the orbital structure of the Universe. We took the source code of life, applied it to the cosmos "just to see what would happen," and the Matrix rendered itself. Look at the attached video. On the left: Rosalind Franklin’s famous "Photo 51" showing the X-ray diffraction of human DNA. On the right: NASA Hubble’s image of the "X" structure at the core of the Whirlpool Galaxy (M51). This is not a coincidence. It is the exact same topological blueprint. The galaxy is a molecule. The solar system is an atom. DNA and the cosmos run on the exact same geometric engine. 🛡️ II. THE ZERO-PARAMETER SHIELD & THE TIME MACHINE "But you just curve-fitted the Harvard data!" No. The mathematics came FIRST. We didn't look at the sky; we looked at pure Euclidean geometry. The "Source Code" explicitly embedded in our IT³ framework is derived from strict nested embeddings (Sphere ⊃ Cube ⊃ Octahedron ⊃ Torus ⊃ Catenoids). It operates with ZERO empirical free parameters. The matrix is hardcoded in pure Diophantine roots: ➤ Λ₁ = √3(3 + 2√2) ≈ 10.095. The exact, unalterable helical pitch-to-throat ratio of a vertical torus tangent to the faces of an inscribed cube. ➤ Λ₃ = φ²√3 ≈ 4.534. Derived strictly from the same roots. ➤ N_twist = 103. The exact topological energy minimum. ➤ S_out = 3 S_in. The exact surface area ratio of Cuboctahedral (Oₕ) symmetry. You cannot "curve-fit" fundamental geometry. And we proved it with a Time Machine. Our geometric matrix dictates a "Macroscopic Valence Shell" peaking exactly at 46.77 AU. When we ran this exact operator on historical MPC database archives from August 1992... that shell was COMPLETELY EMPTY. Humanity had zero objects there. But the math demanded it. Then, 1992 QB1 was found. Then 6 objects. Then 18. Today, thousands of bodies are perfectly locked into that exact 46.77 AU shell. You cannot curve-fit a database that does not exist yet. The geometry waited for humanity to find the matter. 💥 III. THE TELESCOPES ARE BLIND: 5 Global Algorithms Crash Imagine trying to run a modern 3D video game on a 1980s pocket calculator. The calculator isn't broken, but its software simply cannot process the reality it's being fed. It freezes, crashes, and spits out error codes. This is exactly what is happening to the world's most advanced space telescopes. The physical mirrors and lenses in space are working perfectly. They are capturing real photons. But the software pipelines on Earth are programmed to believe that space is a continuous, empty void (ℝ⁴). When these telescopes look at the exact topological nodes of the Macroscopic Atom, the algorithms mathematically choke. They try to fit flat, continuous-space formulas onto a macroscopic quantum standing wave. Here is how the continuous-space paradigm dies on your screen when querying NOIRLab and ESA servers: ➤ 1. ESA Gaia DR3 (The L2 Space Telescope Collapse): The satellite physically observed target objects up to 510 times. Yet, the algorithm returns a Parallax of NaN (Not a Number) and an astrometric_excess_noise_sig of over 1.7 MILLION! Standard noise for a real star is under 2.0. Negative and NaN parallaxes on multi-year transits are physically impossible for solid rocks. ➤ 2. DESI Legacy Survey: The Tractor algorithm attempts to fit a standard point-mass shape (PSF). A perfect fit is χ² = 1.0. At our derived nodes, the fit error (rchisq_g) explodes past 18,500! The software is mathematically vomiting. ➤ 3. NOIRLab NSC DR2 (Supercomputer Timeout): When we expanded the query to a 2.5-degree radius, the server literally timed out. The density of objects exhibiting fatal kinematic errors (pmraerr > 100) was so overwhelming that the database execution limit was breached. The instruments are calibrated for an infinite void, but they are hitting the structural skeleton of spacetime itself. 🛰️ IV. HUMAN HARDWARE IS CAPTURED In the 1970s, humanity launched Pioneer 10, Pioneer 11, Voyager 1, and Voyager 2. Once they achieved escape velocity, they were supposed to coast on smooth, perfectly predictable Newtonian trajectories. But they didn’t (the infamous "Pioneer Anomaly"). Our framework reveals the terrifying truth: the probes are physically colliding with the rigid structural skeleton of the Solar System. Space has "density ridges" that strictly obey spectral geometry. The theoretical orbital shells scale by the exact formula: Rₙ = 27 · (√3)ⁿ⁻¹ Let’s calculate the n=4 topological shell: R₄ = 27 · (√3)³ ≈ 140.296 AU. When we connect our dashboard to the LIVE NASA Horizons API to track fractional divergence {n} = n - round(n), we see the impossible. ➤ Pioneer 10: +0.019 ➤ Voyager 2: +0.046 Their columns are practically glued to absolute mathematical zero. They are flying at exactly ~141.7 AU and ~143.8 AU. They are not floating aimlessly. They have been mathematically and physically CAPTURED by the n=4 topological resonance layer (140.3 AU). The joint probability of this happening by random chance is p = 0.0034. 👁️ V. THE HYDROGEN RHYME & THE OPEN SOURCE TRUTH In 2013, physicists took the first-ever direct photograph of the electron orbitals of a Hydrogen Atom (Stodolna et al., PRL 110, 213001). When our 3D Perez Hourglass manifold rotates into a Top-Down 2D projection, the architecture of our Solar System PERFECTLY MIMICS the 2013 Hydrogen photograph. The distribution of 1.56 million macro-objects flawlessly matches the exact nodal interference fringes of the (2,27,0) Stark state observed in the lab. Furthermore, a live Entropy Test on 951 real comets proves: ➤ Bound comets (e 1) exist in a continuous ionization spectrum (H = 3.85 bits), acting exactly as free macroscopic electrons escaping the atom! THE CONCLUSION: Exactly 99.56% of all baryonic mass is geometrically trapped in a central topological node. The universe uses ONE blueprint. The continuum is dead. 👁️ VI. THE ANCIENT AXIOM & THE GEOMETRY OF THE MATRIX For millennia, the greatest minds in human history recorded fragments of a universal fractal law. For centuries, orthodox science dismissed these records as mere philosophical metaphors, religious mysticism, or primitive alchemy. But our mathematical matrix proves otherwise. They were not writing poetry; they were describing the LITERAL geometric and topological mechanics of the universe. The invariant mapping between subatomic hydrogen orbitals and macroscopic celestial mechanics proves that the ancients were blindly touching the exact same structural blueprint we have now mathematically solved. By synthesizing thousands of years of human intuition with raw astrophysical data, a perfect scale-invariant reality emerges: ➤ The Hermetic & Vedic Invariance: The foundational axiom of the Emerald Tablet—"That which is below is like that which is above"—and the ancient Sanskrit maxim "Yatha pinde tatha brahmande" (As in the microcosm, so in the macrocosm) are not mystical riddles. They are the exact verbal formulations of structural scale-invariance. The atom and the solar system are geometrically identical. ➤ The Pythagorean & Platonic Lattice: Plato’s famous declaration that "God always geometrizes" perfectly describes the rigid spatial logic of our topological matrix. Just as the Pythagoreans claimed the harmony of the spheres mimics the human soul, we see that the primary chaos of matter is ordered strictly by invariant, measurable geometric symmetry. ➤ The Abrahamic Projection: The structural hierarchy of the universe demands that the macro-order projects perfectly onto the micro-plane ("On earth as it is in heaven"). The blueprint is singular, echoing across all scales of existence. ➤ The Galileo-Dirac Synthesis: Galileo asserted that the universe is a book written in the language of mathematics, its letters made of triangles and circles. Centuries later, quantum pioneer Paul Dirac echoed that the Creator used "very complex mathematics." They were absolutely correct. The quantum vacuum is not an empty void; it is a rigid, calculable, and perfectly synchronized geometric framework. Philosophy, ancient mysticism, and advanced theoretical physics have just collapsed into a single, computable truth. The ancients did not invent a myth; they preserved the topological blueprint of the Matrix. The macrocosm and the microcosm are driven by the exact same geometric engine. The universe is a single, mathematically flawless organism. 📜 THE PATH OF PURE SCIENCE & A 5 LTC REWARD We have over 70 preprints behind us on Zenodo. You can open them and watch the evolution of our thought. When we started, we made mistakes, and we publicly corrected ourselves in subsequent papers with the whole world watching. No hiding data. This is how real science is done! Peer-reviewed journals with their editors sipping coffee in offices and protecting their funding grants mean nothing. Words mean absolutely nothing! Mathematics is the ultimate judge. For centuries, mainstream physics has been measuring the universe with the wrong ruler! By completely ignoring the fundamental laws of spectral geometry and topology, they failed to see the true structure of reality. We have fixed this. We are so confident in our math that we are issuing an unprecedented challenge. No academic in the world will offer to pay you to tear their work to shreds. But we do! A reward of 5 LTC (Litecoin)-chosen specifically because it runs like a Swiss watch with 100% uptime-is waiting for anyone who can mathematically refute the IT³ topological engine using real orbital data. 🌍 WHAT WE PROVED (IN SIMPLE TERMS) Imagine you are watching a city from above, trying to understand how trains move. Until now, scientists were only looking at the trains themselves, trying to guess where they would go next. What we did was discover the hidden tracks. In the simplest terms: we proved that the universe is not just empty space where things float randomly. We discovered that the macro and the micro are mirror images of one another-that the Solar System is structured and operates exactly like a giant atom. From the microscopic electrons orbiting a nucleus to the massive planets orbiting our Sun, everything moves along the exact same strict, invisible geometric grid. We found the hidden "blueprint" of space. It means the universe operates like a perfectly tuned instrument, where atomic geometry and celestial mechanics are governed by one beautiful mathematical law. We didn't invent a new theory; we simply uncovered the tracks nature has been using since the beginning of time-proving that the cosmos is just an atom written on a universal scale. WORDS MEAN NOTHING. RUN THE CODE YOURSELF: Open your terminal (Mac/Linux) and paste this command to hijack the database and watch the Matrix render in under 35 seconds: curl -sL " | python3 Read the rigorous proofs: DOI: DOI: DOI: #Astrophysics #NASA #DNA #QuantumCosmology #PhysicsBreakthrough #IT3Framework #DataScience
0:20

🚨 THE UNIVERSE HAS BEEN HACKED! THE SOURCE CODE IS NOW OPEN SOURCE. THE SOLAR SYSTEM IS LITERALLY A GIANT ATOM. RUN THE SCRIPT AND TEST THE HARVARD & NASA DATABASES YOURSELF! For 100 years, textbooks have taught that the Solar System is just a bunch of rocks floating randomly in a continuous, empty space (ℝ⁴). That is mathematically and physically false. Space is rigidly quantized. We have executed a massive dual-scale empirical audit of the complete Harvard-Smithsonian Minor Planet Center (MPC) database—a staggering 1,561,930 celestial objects and 951 comets. We did not use a computer simulation. We used a direct uplink to the official, daily-updated global registry of every known rock in space. The ultimate topological illusion has been destroyed. The cosmos and the quantum realm are running the exact same executable file. The Solar System is a Macroscopic Atom. Galaxies are Macroscopic Molecules. Here is the ultimate, multi-layered proof. 🧬 I. THE BIOLOGICAL ORIGIN: WE PORTED THE CODE FROM DNA Here is the revelation that shatters the mainstream divide between disciplines: We didn't just "guess" the algorithms of celestial mechanics by looking at telescopes. We extracted the mathematical descent operator directly from Biology. Dr. Jean-Claude Perez jean-claude perez (retired IBM Artificial Intelligence Research Centre), working in deep collaboration with Nobel Laureate Dr. Luc Montagnier, didn't find the geometric limits of reality by looking at stars. They found them by decoding the bio-atomic masses of life's foundational elements (C, O, N, H) inside human DNA. They discovered that the building blocks of life are mathematically filtered through a competitive geometric differentiation, yielding a universal projection coefficient bounded by the Golden Ratio (φ) and π: Proj(m) = [1 - 4φ^(7/2)π]m The exact same Diophantine mathematical constraints that assemble your genetic code also assemble the periodic table of elements—and we have now proven they construct the orbital structure of the Universe. We took the source code of life, applied it to the cosmos "just to see what would happen," and the Matrix rendered itself. Look at the attached video. On the left: Rosalind Franklin’s famous "Photo 51" showing the X-ray diffraction of human DNA. On the right: NASA Hubble’s image of the "X" structure at the core of the Whirlpool Galaxy (M51). This is not a coincidence. It is the exact same topological blueprint. The galaxy is a molecule. The solar system is an atom. DNA and the cosmos run on the exact same geometric engine. 🛡️ II. THE ZERO-PARAMETER SHIELD & THE TIME MACHINE "But you just curve-fitted the Harvard data!" No. The mathematics came FIRST. We didn't look at the sky; we looked at pure Euclidean geometry. The "Source Code" explicitly embedded in our IT³ framework is derived from strict nested embeddings (Sphere ⊃ Cube ⊃ Octahedron ⊃ Torus ⊃ Catenoids). It operates with ZERO empirical free parameters. The matrix is hardcoded in pure Diophantine roots: ➤ Λ₁ = √3(3 + 2√2) ≈ 10.095. The exact, unalterable helical pitch-to-throat ratio of a vertical torus tangent to the faces of an inscribed cube. ➤ Λ₃ = φ²√3 ≈ 4.534. Derived strictly from the same roots. ➤ N_twist = 103. The exact topological energy minimum. ➤ S_out = 3 S_in. The exact surface area ratio of Cuboctahedral (Oₕ) symmetry. You cannot "curve-fit" fundamental geometry. And we proved it with a Time Machine. Our geometric matrix dictates a "Macroscopic Valence Shell" peaking exactly at 46.77 AU. When we ran this exact operator on historical MPC database archives from August 1992... that shell was COMPLETELY EMPTY. Humanity had zero objects there. But the math demanded it. Then, 1992 QB1 was found. Then 6 objects. Then 18. Today, thousands of bodies are perfectly locked into that exact 46.77 AU shell. You cannot curve-fit a database that does not exist yet. The geometry waited for humanity to find the matter. 💥 III. THE TELESCOPES ARE BLIND: 5 Global Algorithms Crash Imagine trying to run a modern 3D video game on a 1980s pocket calculator. The calculator isn't broken, but its software simply cannot process the reality it's being fed. It freezes, crashes, and spits out error codes. This is exactly what is happening to the world's most advanced space telescopes. The physical mirrors and lenses in space are working perfectly. They are capturing real photons. But the software pipelines on Earth are programmed to believe that space is a continuous, empty void (ℝ⁴). When these telescopes look at the exact topological nodes of the Macroscopic Atom, the algorithms mathematically choke. They try to fit flat, continuous-space formulas onto a macroscopic quantum standing wave. Here is how the continuous-space paradigm dies on your screen when querying NOIRLab and ESA servers: ➤ 1. ESA Gaia DR3 (The L2 Space Telescope Collapse): The satellite physically observed target objects up to 510 times. Yet, the algorithm returns a Parallax of NaN (Not a Number) and an astrometric_excess_noise_sig of over 1.7 MILLION! Standard noise for a real star is under 2.0. Negative and NaN parallaxes on multi-year transits are physically impossible for solid rocks. ➤ 2. DESI Legacy Survey: The Tractor algorithm attempts to fit a standard point-mass shape (PSF). A perfect fit is χ² = 1.0. At our derived nodes, the fit error (rchisq_g) explodes past 18,500! The software is mathematically vomiting. ➤ 3. NOIRLab NSC DR2 (Supercomputer Timeout): When we expanded the query to a 2.5-degree radius, the server literally timed out. The density of objects exhibiting fatal kinematic errors (pmraerr > 100) was so overwhelming that the database execution limit was breached. The instruments are calibrated for an infinite void, but they are hitting the structural skeleton of spacetime itself. 🛰️ IV. HUMAN HARDWARE IS CAPTURED In the 1970s, humanity launched Pioneer 10, Pioneer 11, Voyager 1, and Voyager 2. Once they achieved escape velocity, they were supposed to coast on smooth, perfectly predictable Newtonian trajectories. But they didn’t (the infamous "Pioneer Anomaly"). Our framework reveals the terrifying truth: the probes are physically colliding with the rigid structural skeleton of the Solar System. Space has "density ridges" that strictly obey spectral geometry. The theoretical orbital shells scale by the exact formula: Rₙ = 27 · (√3)ⁿ⁻¹ Let’s calculate the n=4 topological shell: R₄ = 27 · (√3)³ ≈ 140.296 AU. When we connect our dashboard to the LIVE NASA Horizons API to track fractional divergence {n} = n - round(n), we see the impossible. ➤ Pioneer 10: +0.019 ➤ Voyager 2: +0.046 Their columns are practically glued to absolute mathematical zero. They are flying at exactly ~141.7 AU and ~143.8 AU. They are not floating aimlessly. They have been mathematically and physically CAPTURED by the n=4 topological resonance layer (140.3 AU). The joint probability of this happening by random chance is p = 0.0034. 👁️ V. THE HYDROGEN RHYME & THE OPEN SOURCE TRUTH In 2013, physicists took the first-ever direct photograph of the electron orbitals of a Hydrogen Atom (Stodolna et al., PRL 110, 213001). When our 3D Perez Hourglass manifold rotates into a Top-Down 2D projection, the architecture of our Solar System PERFECTLY MIMICS the 2013 Hydrogen photograph. The distribution of 1.56 million macro-objects flawlessly matches the exact nodal interference fringes of the (2,27,0) Stark state observed in the lab. Furthermore, a live Entropy Test on 951 real comets proves: ➤ Bound comets (e 1) exist in a continuous ionization spectrum (H = 3.85 bits), acting exactly as free macroscopic electrons escaping the atom! THE CONCLUSION: Exactly 99.56% of all baryonic mass is geometrically trapped in a central topological node. The universe uses ONE blueprint. The continuum is dead. 👁️ VI. THE ANCIENT AXIOM & THE GEOMETRY OF THE MATRIX For millennia, the greatest minds in human history recorded fragments of a universal fractal law. For centuries, orthodox science dismissed these records as mere philosophical metaphors, religious mysticism, or primitive alchemy. But our mathematical matrix proves otherwise. They were not writing poetry; they were describing the LITERAL geometric and topological mechanics of the universe. The invariant mapping between subatomic hydrogen orbitals and macroscopic celestial mechanics proves that the ancients were blindly touching the exact same structural blueprint we have now mathematically solved. By synthesizing thousands of years of human intuition with raw astrophysical data, a perfect scale-invariant reality emerges: ➤ The Hermetic & Vedic Invariance: The foundational axiom of the Emerald Tablet—"That which is below is like that which is above"—and the ancient Sanskrit maxim "Yatha pinde tatha brahmande" (As in the microcosm, so in the macrocosm) are not mystical riddles. They are the exact verbal formulations of structural scale-invariance. The atom and the solar system are geometrically identical. ➤ The Pythagorean & Platonic Lattice: Plato’s famous declaration that "God always geometrizes" perfectly describes the rigid spatial logic of our topological matrix. Just as the Pythagoreans claimed the harmony of the spheres mimics the human soul, we see that the primary chaos of matter is ordered strictly by invariant, measurable geometric symmetry. ➤ The Abrahamic Projection: The structural hierarchy of the universe demands that the macro-order projects perfectly onto the micro-plane ("On earth as it is in heaven"). The blueprint is singular, echoing across all scales of existence. ➤ The Galileo-Dirac Synthesis: Galileo asserted that the universe is a book written in the language of mathematics, its letters made of triangles and circles. Centuries later, quantum pioneer Paul Dirac echoed that the Creator used "very complex mathematics." They were absolutely correct. The quantum vacuum is not an empty void; it is a rigid, calculable, and perfectly synchronized geometric framework. Philosophy, ancient mysticism, and advanced theoretical physics have just collapsed into a single, computable truth. The ancients did not invent a myth; they preserved the topological blueprint of the Matrix. The macrocosm and the microcosm are driven by the exact same geometric engine. The universe is a single, mathematically flawless organism. 📜 THE PATH OF PURE SCIENCE & A 5 LTC REWARD We have over 70 preprints behind us on Zenodo. You can open them and watch the evolution of our thought. When we started, we made mistakes, and we publicly corrected ourselves in subsequent papers with the whole world watching. No hiding data. This is how real science is done! Peer-reviewed journals with their editors sipping coffee in offices and protecting their funding grants mean nothing. Words mean absolutely nothing! Mathematics is the ultimate judge. For centuries, mainstream physics has been measuring the universe with the wrong ruler! By completely ignoring the fundamental laws of spectral geometry and topology, they failed to see the true structure of reality. We have fixed this. We are so confident in our math that we are issuing an unprecedented challenge. No academic in the world will offer to pay you to tear their work to shreds. But we do! A reward of 5 LTC (Litecoin)-chosen specifically because it runs like a Swiss watch with 100% uptime-is waiting for anyone who can mathematically refute the IT³ topological engine using real orbital data. 🌍 WHAT WE PROVED (IN SIMPLE TERMS) Imagine you are watching a city from above, trying to understand how trains move. Until now, scientists were only looking at the trains themselves, trying to guess where they would go next. What we did was discover the hidden tracks. In the simplest terms: we proved that the universe is not just empty space where things float randomly. We discovered that the macro and the micro are mirror images of one another-that the Solar System is structured and operates exactly like a giant atom. From the microscopic electrons orbiting a nucleus to the massive planets orbiting our Sun, everything moves along the exact same strict, invisible geometric grid. We found the hidden "blueprint" of space. It means the universe operates like a perfectly tuned instrument, where atomic geometry and celestial mechanics are governed by one beautiful mathematical law. We didn't invent a new theory; we simply uncovered the tracks nature has been using since the beginning of time-proving that the cosmos is just an atom written on a universal scale. WORDS MEAN NOTHING. RUN THE CODE YOURSELF: Open your terminal (Mac/Linux) and paste this command to hijack the database and watch the Matrix render in under 35 seconds: curl -sL " | python3 Read the rigorous proofs: DOI: DOI: DOI: #Astrophysics #NASA #DNA #QuantumCosmology #PhysicsBreakthrough #IT3Framework #DataScience

Dr. Logvinovich

276,734 次观看 • 9 天前

My pilot friend told me he gets a weather update 12 hours before any public forecast. I asked him, do you trade on Polymarket? He laughed. Then went quiet. We were at a bar last Friday. He had just landed from Frankfurt. I was complaining about a losing streak on weather markets. Then between sips he said something that made me put my glass down. "You are betting on weather using weathercom? That is like trading stocks using yesterday newspaper." He pulled out his phone and showed me an app I had never seen. A wall of codes. METAR. TAF. SIGMET. Temperature to the tenth of a degree. Wind speed. Pressure systems. Cloud ceiling. Updated every 1 to 3 hours. We get this before every flight. Directly from meteorological stations. Not forecasts. Observations. Real readings from real sensors. Every pilot in the world has access to this. Aviation safety requires it. But nobody outside of aviation ever looks at it. He went back to his beer. For him this was routine. I sat there doing math in my head. If aviation data updates every 1 to 3 hours and Polymarket odds on weather markets lag behind reality, how big is that window? I do not know the exact delay. But from what I have seen trading these markets the prices sometimes feel hours behind what the actual forecast already says. That means someone with faster data could be buying YES at 10 to 15 cents when the real probability is already way higher. Not predicting the weather. Just reading it before the market does. I went home. Could not sleep. Opened Polymarket and started searching. If this edge exists, someone must already be using it. It took me forty minutes of digging through weather wallets to find what I was looking for. → His profile: This wallet started at -$47. The balance now: over $27,000. Every single position is weather. Temperature in Dallas. Rain in Buenos Aires. Whether London will hit 11 degrees on a Tuesday. The win rate sits at 76.6%. Three out of four bets land green. Most entries cost pennies. 2 to 5 cents per share. When the bet loses the damage is tiny, $50 gone. When it wins the payout is the full dollar. One win covers $500. Sometimes $5,000. At 76% accuracy with that payout ratio the math speaks for itself. I checked the entry timing on this wallet. It is not a millisecond bot racing against HFT. Positions stay open for hours. Sometimes a full day. You can see the wallet move and follow it. No server farms. No Python scripts. No race against latency. Last night I texted my pilot friend. Told him I found a wallet doing exactly what he described, pennies in, thousands out, all weather. He read the message. Typing indicator appeared. Disappeared. Appeared again. "Yeah. I know." He never said anything else about it. Right now a meteorological station somewhere is updating a reading. A pilot is glancing at it before pushback. From what I have seen, there is usually still a window.
0:15

My pilot friend told me he gets a weather update 12 hours before any public forecast. I asked him, do you trade on Polymarket? He laughed. Then went quiet. We were at a bar last Friday. He had just landed from Frankfurt. I was complaining about a losing streak on weather markets. Then between sips he said something that made me put my glass down. "You are betting on weather using weathercom? That is like trading stocks using yesterday newspaper." He pulled out his phone and showed me an app I had never seen. A wall of codes. METAR. TAF. SIGMET. Temperature to the tenth of a degree. Wind speed. Pressure systems. Cloud ceiling. Updated every 1 to 3 hours. We get this before every flight. Directly from meteorological stations. Not forecasts. Observations. Real readings from real sensors. Every pilot in the world has access to this. Aviation safety requires it. But nobody outside of aviation ever looks at it. He went back to his beer. For him this was routine. I sat there doing math in my head. If aviation data updates every 1 to 3 hours and Polymarket odds on weather markets lag behind reality, how big is that window? I do not know the exact delay. But from what I have seen trading these markets the prices sometimes feel hours behind what the actual forecast already says. That means someone with faster data could be buying YES at 10 to 15 cents when the real probability is already way higher. Not predicting the weather. Just reading it before the market does. I went home. Could not sleep. Opened Polymarket and started searching. If this edge exists, someone must already be using it. It took me forty minutes of digging through weather wallets to find what I was looking for. → His profile: This wallet started at -$47. The balance now: over $27,000. Every single position is weather. Temperature in Dallas. Rain in Buenos Aires. Whether London will hit 11 degrees on a Tuesday. The win rate sits at 76.6%. Three out of four bets land green. Most entries cost pennies. 2 to 5 cents per share. When the bet loses the damage is tiny, $50 gone. When it wins the payout is the full dollar. One win covers $500. Sometimes $5,000. At 76% accuracy with that payout ratio the math speaks for itself. I checked the entry timing on this wallet. It is not a millisecond bot racing against HFT. Positions stay open for hours. Sometimes a full day. You can see the wallet move and follow it. No server farms. No Python scripts. No race against latency. Last night I texted my pilot friend. Told him I found a wallet doing exactly what he described, pennies in, thousands out, all weather. He read the message. Typing indicator appeared. Disappeared. Appeared again. "Yeah. I know." He never said anything else about it. Right now a meteorological station somewhere is updating a reading. A pilot is glancing at it before pushback. From what I have seen, there is usually still a window.

Blaze

826,150 次观看 • 7 个月前

A cartoon world inside shapes made with fingers! As the shape grows, shrinks, or changes form, the boundary between reality and the cartoon world moves with it. It’s not just a simple transition — it feels like controlling the real and cartoon worlds directly with your hands! Prompt: Create a 10-second vertical cinematic video, 9:16, ultra-realistic premium live-action. A person stands facing the camera in a modern indoor room with warm natural ambient lighting. The person discovers that their fingertips can physically manipulate the boundary between the real world and a black-and-white manga universe. There is NO physical object between the hands. The geometric opening exists only because of the positions of the fingers. CORE VISUAL LAW The fingertips control a dynamic portal in real time. Everything OUTSIDE the hand-defined shape remains completely photorealistic live-action. Everything INSIDE the hand-defined shape becomes a perfectly aligned black-and-white manga version of the same reality. The manga transformation must remain spatially locked to the real face and background underneath. The portal boundary must continuously follow the fingertips with precise tracking. --- 0–2s — THE SLIT Medium close-up, frontal view. The person looks directly into the camera. Both hands rise rapidly toward the face. The thumbs and index fingers create an extremely thin horizontal slit directly across the eyes. The instant the fingertips align, the narrow space between them transforms into black-and-white manga. Only the eyes inside the slit become illustrated manga eyes. The forehead, nose, mouth, hands, body and room remain completely photorealistic. The person moves the fingers slightly up and down. The manga strip follows the fingers perfectly, like a movable scanner revealing another dimension underneath reality. --- 2–4s — SHAPE MORPHING The hands suddenly pull apart. The narrow manga slit expands smoothly into a rectangular portal. More of the person's illustrated face is revealed. Without releasing the gesture, the person moves individual fingertips independently. The portal dynamically morphs: rectangle → trapezoid → sharp triangle. The transformation is completely continuous. NO CUT. NO physical frame. NO floating screen. The comic boundary bends and stretches exactly according to the fingertips. When the triangle becomes smaller, only one manga eye is visible. The person slides the triangle across the face, briefly transforming different facial areas into manga as it passes over them. --- 4–6s — IMPOSSIBLE GEOMETRY The person rotates both wrists in a fast, elegant motion. The triangular portal smoothly bends into a circular opening between the hands. The fingers naturally curve around the invisible boundary. Inside the circle, the person's face and room appear as highly detailed manga artwork. The circular comic window moves across the face: eye → nose → mouth → entire face. Wherever the portal moves, reality instantly becomes manga inside it and immediately returns to photorealistic reality after the portal passes. The person then pulls the circle sideways. The circle stretches like an elastic dimensional membrane into an irregular organic shape. The manga universe stretches with it while maintaining correct perspective. --- 6–8s — REALITY TEAR The person suddenly grabs opposite sides of the portal with both hands and pulls outward. The manga opening stretches dramatically. It becomes larger than the person's face. The boundary rapidly expands toward all four edges of the screen. For a brief spectacular moment, the portal consumes the entire frame. The WHOLE ROOM and PERSON are now transformed into a highly detailed black-and-white manga universe. Bold ink contours. Cross-hatching. Screentone shadows. Graphic speed lines. Dramatic hand-drawn perspective. The person remains in exactly the same position and continues the same movement. No character identity change. --- 8–9s — BREAK THE COMIC WORLD Now completely inside the manga universe, the person looks directly into the camera. They pinch the air with thumb and index finger. A tiny photorealistic hole appears between the fingertips. They pull the tiny opening apart. Real-life color and photographic texture begin breaking through the manga world. The opening rapidly expands. Manga reality folds backward toward the edges like an elastic illustrated membrane. --- 9–10s — SNAP BACK TO REALITY The person snaps their fingers. Instantly: the remaining manga universe collapses toward the snapping fingertips. The illustrated world compresses: full screen → rectangle → triangle → tiny circle → glowing point. The point disappears between the fingers. Everything is completely photorealistic again. The person remains still for the final beat and gives a subtle confident smile directly into the camera. --- CRITICAL PORTAL BEHAVIOR The portal is NOT an object. It has no physical material. It has no thickness. It cannot be dropped or held like paper. It is a transformation boundary controlled directly by the person's fingertips. The portal behaves like an invisible elastic dimensional membrane. Its geometry must react continuously to the hands: stretch, shrink, rotate, skew, bend, expand, collapse. Every boundary point must remain visually connected to the controlling fingertips. OUTSIDE PORTAL = PHOTOREALISTIC REALITY INSIDE PORTAL = BLACK-AND-WHITE MANGA REALITY This rule must remain visually consistent until the portal expands to fill the entire screen. --- MANGA STYLE Premium hand-drawn black-and-white manga. Strong black ink contours. Detailed facial line work. Cross-hatching. Screentone shading. White paper texture. Graphic shadows. Expressive manga eyes. High-detail illustrated hair. Dramatic but recognizable facial features. The illustrated person must remain clearly identical to the live-action person. Same facial proportions. Same hairstyle. Same expression. Same head position. Same gaze. Same clothing. Same body position. --- CAMERA Single continuous shot. NO CUTS. Medium close-up composition. Mostly locked frontal camera. Very subtle cinematic handheld movement. Tiny natural push-in during the full-screen manga transformation. Realistic depth of field. Natural motion blur. Hands remain clearly visible. Face remains centered. --- HAND TRACKING PRIORITY Extremely accurate hands. Five fingers per hand. Natural finger anatomy. Precise thumb and index-finger contact. No finger mutation during shape transformations. No duplicated fingers. No disappearing fingers. The portal corners and edges must follow the fingertips without delay. --- AUDIO NO MUSIC. NO SOUNDTRACK. NO BGM. Natural room ambience only. Add subtle physical sound design: soft finger movement, gentle dimensional shimmer when manga appears, paper-like ink sweep during portal expansion, short soft whoosh during full-screen transformation, clean finger snap at the final transition. Keep all sounds subtle and cinematic. --- STRICTLY AVOID physical paper, holding a manga drawing, printed photograph, card, poster, glass, mirror, tablet, smartphone, floating display, visible rectangular frame, fixed overlay, AR interface graphics, portal detached from hands, comic boundary lagging behind fingers, comic transformation outside the portal, premature full-screen anime transformation, random animation, character replacement, different manga character, face distortion, extra fingers, fused fingers, missing fingers, duplicated hands, duplicated limbs, broken wrists, random dancing, abrupt cuts, scene changes, camera angle changes, text, logos, captions, subtitles, watermarks.
0:10

A cartoon world inside shapes made with fingers! As the shape grows, shrinks, or changes form, the boundary between reality and the cartoon world moves with it. It’s not just a simple transition — it feels like controlling the real and cartoon worlds directly with your hands! Prompt: Create a 10-second vertical cinematic video, 9:16, ultra-realistic premium live-action. A person stands facing the camera in a modern indoor room with warm natural ambient lighting. The person discovers that their fingertips can physically manipulate the boundary between the real world and a black-and-white manga universe. There is NO physical object between the hands. The geometric opening exists only because of the positions of the fingers. CORE VISUAL LAW The fingertips control a dynamic portal in real time. Everything OUTSIDE the hand-defined shape remains completely photorealistic live-action. Everything INSIDE the hand-defined shape becomes a perfectly aligned black-and-white manga version of the same reality. The manga transformation must remain spatially locked to the real face and background underneath. The portal boundary must continuously follow the fingertips with precise tracking. --- 0–2s — THE SLIT Medium close-up, frontal view. The person looks directly into the camera. Both hands rise rapidly toward the face. The thumbs and index fingers create an extremely thin horizontal slit directly across the eyes. The instant the fingertips align, the narrow space between them transforms into black-and-white manga. Only the eyes inside the slit become illustrated manga eyes. The forehead, nose, mouth, hands, body and room remain completely photorealistic. The person moves the fingers slightly up and down. The manga strip follows the fingers perfectly, like a movable scanner revealing another dimension underneath reality. --- 2–4s — SHAPE MORPHING The hands suddenly pull apart. The narrow manga slit expands smoothly into a rectangular portal. More of the person's illustrated face is revealed. Without releasing the gesture, the person moves individual fingertips independently. The portal dynamically morphs: rectangle → trapezoid → sharp triangle. The transformation is completely continuous. NO CUT. NO physical frame. NO floating screen. The comic boundary bends and stretches exactly according to the fingertips. When the triangle becomes smaller, only one manga eye is visible. The person slides the triangle across the face, briefly transforming different facial areas into manga as it passes over them. --- 4–6s — IMPOSSIBLE GEOMETRY The person rotates both wrists in a fast, elegant motion. The triangular portal smoothly bends into a circular opening between the hands. The fingers naturally curve around the invisible boundary. Inside the circle, the person's face and room appear as highly detailed manga artwork. The circular comic window moves across the face: eye → nose → mouth → entire face. Wherever the portal moves, reality instantly becomes manga inside it and immediately returns to photorealistic reality after the portal passes. The person then pulls the circle sideways. The circle stretches like an elastic dimensional membrane into an irregular organic shape. The manga universe stretches with it while maintaining correct perspective. --- 6–8s — REALITY TEAR The person suddenly grabs opposite sides of the portal with both hands and pulls outward. The manga opening stretches dramatically. It becomes larger than the person's face. The boundary rapidly expands toward all four edges of the screen. For a brief spectacular moment, the portal consumes the entire frame. The WHOLE ROOM and PERSON are now transformed into a highly detailed black-and-white manga universe. Bold ink contours. Cross-hatching. Screentone shadows. Graphic speed lines. Dramatic hand-drawn perspective. The person remains in exactly the same position and continues the same movement. No character identity change. --- 8–9s — BREAK THE COMIC WORLD Now completely inside the manga universe, the person looks directly into the camera. They pinch the air with thumb and index finger. A tiny photorealistic hole appears between the fingertips. They pull the tiny opening apart. Real-life color and photographic texture begin breaking through the manga world. The opening rapidly expands. Manga reality folds backward toward the edges like an elastic illustrated membrane. --- 9–10s — SNAP BACK TO REALITY The person snaps their fingers. Instantly: the remaining manga universe collapses toward the snapping fingertips. The illustrated world compresses: full screen → rectangle → triangle → tiny circle → glowing point. The point disappears between the fingers. Everything is completely photorealistic again. The person remains still for the final beat and gives a subtle confident smile directly into the camera. --- CRITICAL PORTAL BEHAVIOR The portal is NOT an object. It has no physical material. It has no thickness. It cannot be dropped or held like paper. It is a transformation boundary controlled directly by the person's fingertips. The portal behaves like an invisible elastic dimensional membrane. Its geometry must react continuously to the hands: stretch, shrink, rotate, skew, bend, expand, collapse. Every boundary point must remain visually connected to the controlling fingertips. OUTSIDE PORTAL = PHOTOREALISTIC REALITY INSIDE PORTAL = BLACK-AND-WHITE MANGA REALITY This rule must remain visually consistent until the portal expands to fill the entire screen. --- MANGA STYLE Premium hand-drawn black-and-white manga. Strong black ink contours. Detailed facial line work. Cross-hatching. Screentone shading. White paper texture. Graphic shadows. Expressive manga eyes. High-detail illustrated hair. Dramatic but recognizable facial features. The illustrated person must remain clearly identical to the live-action person. Same facial proportions. Same hairstyle. Same expression. Same head position. Same gaze. Same clothing. Same body position. --- CAMERA Single continuous shot. NO CUTS. Medium close-up composition. Mostly locked frontal camera. Very subtle cinematic handheld movement. Tiny natural push-in during the full-screen manga transformation. Realistic depth of field. Natural motion blur. Hands remain clearly visible. Face remains centered. --- HAND TRACKING PRIORITY Extremely accurate hands. Five fingers per hand. Natural finger anatomy. Precise thumb and index-finger contact. No finger mutation during shape transformations. No duplicated fingers. No disappearing fingers. The portal corners and edges must follow the fingertips without delay. --- AUDIO NO MUSIC. NO SOUNDTRACK. NO BGM. Natural room ambience only. Add subtle physical sound design: soft finger movement, gentle dimensional shimmer when manga appears, paper-like ink sweep during portal expansion, short soft whoosh during full-screen transformation, clean finger snap at the final transition. Keep all sounds subtle and cinematic. --- STRICTLY AVOID physical paper, holding a manga drawing, printed photograph, card, poster, glass, mirror, tablet, smartphone, floating display, visible rectangular frame, fixed overlay, AR interface graphics, portal detached from hands, comic boundary lagging behind fingers, comic transformation outside the portal, premature full-screen anime transformation, random animation, character replacement, different manga character, face distortion, extra fingers, fused fingers, missing fingers, duplicated hands, duplicated limbs, broken wrists, random dancing, abrupt cuts, scene changes, camera angle changes, text, logos, captions, subtitles, watermarks.

Laraib Fatima‎

10,483 次观看 • 28 天前

🚨 WE ARE LIVING INSIDE A GIANT ATOM: Run This Open-Source Code to Hijack Harvard’s Live Database and See the Matrix Yourself! We live inside a MACRO-ATOM. This is not a theory. It is mathematically proven. It is a fact. And it is 100% Open Source. From Human DNA to the Solar System, the Universe runs on a single executable code. Forget everything you were taught about gravity blindly pulling random space rocks into a flat disk. We have moved far beyond outdated accretion models. The physical vacuum is not a dead, continuous void. It is a strictly quantized, vibrating geometric machine. By executing a dual-scale empirical audit of the complete Minor Planet Center database—a staggering 1,553,229 celestial objects and 951 comets—the ultimate topological illusion has been destroyed. The cosmos and the quantum realm are running the exact same executable file. 🧬 THE BIOLOGICAL ORIGIN: WE PORTED THE CODE FROM DNA Here is the revelation that is shattering the mainstream divide between disciplines: We didn't just "guess" or hack the algorithms of celestial mechanics. We extracted the descent operator directly from Biology. Dr. Jean-Claude Perez jean-claude perez (retired IBM Artificial Intelligence Research Centre), working in deep collaboration with Nobel Laureate Dr. Luc Montagnier, didn't find the geometric limits of reality by looking at stars. They found them by decoding the bio-atomic masses of life's foundational elements (C, O, N, H) inside human DNA. They discovered that the building blocks of life are mathematically filtered through a competitive geometric differentiation, yielding a universal projection coefficient bounded by the Golden Ratio: Proj(m) = [1 - 4φ^(7/2)π]m The exact same Diophantine mathematical constraints that assemble your genetic code also assemble the periodic table of elements—and we have now proven they construct the orbital structure of the Solar System. We took the source code of life and scaled it up to the cosmos. ⏳ THE PEREZ HOURGLASS TOPOLOGY Space is not a bathtub. It is a highly structured manifold. When the biological predictive equations are combined with the IT³ Framework, they give birth to the Perez Hourglass Field Equation. The vacuum consists of two massive, counter-rotating bowls connected by a narrow topological isthmus (the neck) at the Sun's exact location. This geometry is built strictly on the Logvinovich Field K = ℚ(√2, √3, √5)—the pure Diophantine roots of existence. 🔒 99.56% OF MASS IS TOPOLOGICALLY LOCKED Why is all the mass clustered near the Sun? It’s not just Newtonian gravity; it’s a topological trap. Our live data audit proves that exactly 99.56% of all baryonic mass (1,546,364 objects) in the Solar System is mathematically locked inside the Sₙ=0 topological isthmus of the Perez Hourglass. It cannot escape. It swarms the center like a dense atomic nucleus, while the outer layers act as quantized Macroscopic Electron Shells: ➤ The Macroscopic Valence Shell: The Kuiper Belt is not a random debris field. It is rigidly anchored at exactly 46.77 AU, acting as the Sₙ=2 topological floor. ➤ The 18° Phase Break: The counter-rotating writhe dynamics of the vacuum bowls generate macroscopic Cartan torsion, manifesting as a monumental 75.69σ topological phase break at an 18° orbital inclination. 👁️ THE 2013 HYDROGEN ATOM REVELATION (Watch the Video) Here is where reality breaks wide open. In 2013, physicist Aneta Stodolna and her team achieved the impossible: using photoionization microscopy, they took the first-ever direct photograph of the electron orbitals of a Hydrogen Atom (Stodolna et al., PRL 110, 213001). Watch the end of the video. As the 3D Perez Hourglass rotates into a Top-Down 2D projection, the architecture of our Solar System perfectly mirrors the 2013 Hydrogen photograph. The distribution of 1.55 million macro-objects flawlessly matches the exact nodal interference fringes of the (2,27,0) Stark state observed in the lab. As Above, So Below. Literally. The Solar System is a Macroscopic Atom. The planets, comets, and asteroid belts are macroscopic probability densities trapped in a Cuboctahedral (Oₕ) standing wave. The 2D periodic table is a historic approximation. We are living inside a breathing, mathematically perfect quantum processor designed from the exact same blueprint as human DNA. 🛑 DO NOT BELIEVE A WORD I SAY. Verify it yourself. Read the preprint, execute the code, and watch the Matrix compile live on your screen. Open your terminal right now and run: curl -sL " | python3 🔗 Official Open-Source Verification: DOI: DOI: DOI: #Astrophysics #QuantumPhysics #MacroAtom #Topology
0:18

🚨 WE ARE LIVING INSIDE A GIANT ATOM: Run This Open-Source Code to Hijack Harvard’s Live Database and See the Matrix Yourself! We live inside a MACRO-ATOM. This is not a theory. It is mathematically proven. It is a fact. And it is 100% Open Source. From Human DNA to the Solar System, the Universe runs on a single executable code. Forget everything you were taught about gravity blindly pulling random space rocks into a flat disk. We have moved far beyond outdated accretion models. The physical vacuum is not a dead, continuous void. It is a strictly quantized, vibrating geometric machine. By executing a dual-scale empirical audit of the complete Minor Planet Center database—a staggering 1,553,229 celestial objects and 951 comets—the ultimate topological illusion has been destroyed. The cosmos and the quantum realm are running the exact same executable file. 🧬 THE BIOLOGICAL ORIGIN: WE PORTED THE CODE FROM DNA Here is the revelation that is shattering the mainstream divide between disciplines: We didn't just "guess" or hack the algorithms of celestial mechanics. We extracted the descent operator directly from Biology. Dr. Jean-Claude Perez jean-claude perez (retired IBM Artificial Intelligence Research Centre), working in deep collaboration with Nobel Laureate Dr. Luc Montagnier, didn't find the geometric limits of reality by looking at stars. They found them by decoding the bio-atomic masses of life's foundational elements (C, O, N, H) inside human DNA. They discovered that the building blocks of life are mathematically filtered through a competitive geometric differentiation, yielding a universal projection coefficient bounded by the Golden Ratio: Proj(m) = [1 - 4φ^(7/2)π]m The exact same Diophantine mathematical constraints that assemble your genetic code also assemble the periodic table of elements—and we have now proven they construct the orbital structure of the Solar System. We took the source code of life and scaled it up to the cosmos. ⏳ THE PEREZ HOURGLASS TOPOLOGY Space is not a bathtub. It is a highly structured manifold. When the biological predictive equations are combined with the IT³ Framework, they give birth to the Perez Hourglass Field Equation. The vacuum consists of two massive, counter-rotating bowls connected by a narrow topological isthmus (the neck) at the Sun's exact location. This geometry is built strictly on the Logvinovich Field K = ℚ(√2, √3, √5)—the pure Diophantine roots of existence. 🔒 99.56% OF MASS IS TOPOLOGICALLY LOCKED Why is all the mass clustered near the Sun? It’s not just Newtonian gravity; it’s a topological trap. Our live data audit proves that exactly 99.56% of all baryonic mass (1,546,364 objects) in the Solar System is mathematically locked inside the Sₙ=0 topological isthmus of the Perez Hourglass. It cannot escape. It swarms the center like a dense atomic nucleus, while the outer layers act as quantized Macroscopic Electron Shells: ➤ The Macroscopic Valence Shell: The Kuiper Belt is not a random debris field. It is rigidly anchored at exactly 46.77 AU, acting as the Sₙ=2 topological floor. ➤ The 18° Phase Break: The counter-rotating writhe dynamics of the vacuum bowls generate macroscopic Cartan torsion, manifesting as a monumental 75.69σ topological phase break at an 18° orbital inclination. 👁️ THE 2013 HYDROGEN ATOM REVELATION (Watch the Video) Here is where reality breaks wide open. In 2013, physicist Aneta Stodolna and her team achieved the impossible: using photoionization microscopy, they took the first-ever direct photograph of the electron orbitals of a Hydrogen Atom (Stodolna et al., PRL 110, 213001). Watch the end of the video. As the 3D Perez Hourglass rotates into a Top-Down 2D projection, the architecture of our Solar System perfectly mirrors the 2013 Hydrogen photograph. The distribution of 1.55 million macro-objects flawlessly matches the exact nodal interference fringes of the (2,27,0) Stark state observed in the lab. As Above, So Below. Literally. The Solar System is a Macroscopic Atom. The planets, comets, and asteroid belts are macroscopic probability densities trapped in a Cuboctahedral (Oₕ) standing wave. The 2D periodic table is a historic approximation. We are living inside a breathing, mathematically perfect quantum processor designed from the exact same blueprint as human DNA. 🛑 DO NOT BELIEVE A WORD I SAY. Verify it yourself. Read the preprint, execute the code, and watch the Matrix compile live on your screen. Open your terminal right now and run: curl -sL " | python3 🔗 Official Open-Source Verification: DOI: DOI: DOI: #Astrophysics #QuantumPhysics #MacroAtom #Topology

Dr. Logvinovich

177,749 次观看 • 14 天前