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.show more

Apple spent 7 years and $3,500 per unit building... Vision Pro, this guy did something better with a webcam in his bedroom. And no, this isn't a render, it's running live on his laptop right now with a webcam pointed at his hands. The webcam tracks 21 points on each of his hands in real time, every fingertip, every knuckle, every joint, mapped to a 3D skeleton at 60 frames per second. A piece of digital silk is rigged to that skeleton, so when he opens his palm the fabric drapes across his fingers, when he closes his hand it crumples in his fist, when he tilts his wrist the cloth slides off and folds with real physics, light reflecting off it like actual material. He can grab it, stretch it, throw it, catch it, all with his bare hands and zero hardware on his body. No headset, no gloves, no $3,500 face computer, no 600 gram brick on his skull, no 2 hour battery, no Apple ID, no App Store. Just a webcam, TouchDesigner and a kid who saw the Vision Pro keynote and thought, I can do that for free. Apple has 3,000 engineers, $200 billion in cash and 7 years of development time, they built a face computer most people will never own. This guy has a laptop, a webcam and a weekend, he built a future most people can actually use. The mixed reality industry just got embarrassed by a guy in a white t-shirt.show more

THIS 12-YEAR-OLD CHINESE KID JUST BUILT THE IRON MAN... INTERFACE WITHOUT WRITING A LINE OF CODE He waves his hand and 6500 particles on the screen behind him morph into Saturn, then a globe, then an alien mountain range. The trick is MediaPipe tracking his fingers through a laptop webcam, mapped to a particle physics engine running in the browser. He didn't write the code. He told Gemini what he wanted to see, copy-pasted the output, and shipped it to GitHub the same night. The ceiling for what a kid in his bedroom can build has quietly become absurd. Last year this was a Stanford grad project and this year it is a Tuesday... Save this time capsule from 2026 ↓show more

THIS CHINESE GIRL CREATING INSANE AI VISUALS WITH HER... FINGERS IN REAL TIME. THE TOOLS COST $0. While most visual artists are paying $150+/month for tools that rate limit mid-performance and send every prompt to a third-party server – this runs entirely offline on a normal laptop. –> TouchDesigner: free for non-commercial use. –> Ollama: open source since 2023. –> Total monthly cost: $0. Here's what $0 actually builds: –> Hand tracking with AI logic: MediaPipe tracks your hands, AI reads coordinates and triggers visual states. No hardcoded rules. –> Audio-reactive visuals: Audio feeds into Ollama every frame. AI returns parameters. TouchDesigner renders. Full loop under 50ms. –> Live performance: AI generates color palettes, particle behaviors, scene transitions from crowd audio, MIDI, microphone, camera. All real-time. –> Client installations: No API key that expires. No subscription that dies mid-show. Hand over the laptop and it runs forever. The $150/month tools go down at the worst moment. This doesn't go down. Ever. Your laptop. $0/month. A visual studio that runs forever. Bookmark this post. Full demo in the video below.show more

This Chinese guy built a Second Brain in Obsidian... and every morning gets 3 trading ideas that brought him $180,000 in 6 months. Inside he runs a pipeline of 6 workflows on N8N that automatically pulls every read article, listened podcast, and voice note into a shared Obsidian vault, and a neural network analyst every morning at 6:00 finds connections between the fresh and the old and puts the 3 strongest trading ideas for the day into the inbox. No analytics desk, no Bloomberg terminal, no Telegram chats with traders. Just a Mac Mini by the wall, an iPhone in the pocket, and 1 local Obsidian vault. And traditional quant funds keep entire teams of 8 people on salary for the same flow of insights, while his expenses are only subscriptions to Readwise, Whisper API, and N8N hosting. 6 pipelines process about 200 sources a day and close the monthly API bill at about $120. The Mac Mini itself stores the entire vault and keeps the neural network analyst running 24/7, and from the iPhone the owner drops any idea he hears on the go into a Telegram bot, and it lands in the vault inbox in just 30 seconds. The starting instruction that sits in the VAULT.md file at the root of his vault looks like this: "you are the AI analyst of a solo trader. you read his vault every morning at 6:00, find connections between fresh and old notes, and deliver 3 trading ideas he can verify in the hour before the market opens. pipelines: // Reader (pulls every article and highlight from Readwise, Twitter bookmarks, and Kindle into /notes) // Listener (transcribes podcasts through Airr and voice notes through Whisper, puts them in /notes) // Catcher (accepts any message from the Telegram bot and writes it to /inbox with a timestamp) // Connector (every night reads across the entire vault and updates the connection graph between 4,000 notes) // Briefer (at 6:00 AM writes a brief: 3 trading ideas for today plus the emerging thesis of the week, puts it in /inbox) // Mobile (lives in the iPhone, answers any question about the vault by voice, and confirms alerts while the owner is on the go). you wake the owner with a push notification only when a fresh note contradicts his active thesis or when 1 of the 3 morning ideas has a confidence score above 90%." This instruction immediately sets the role for the system and the limits of its autonomy. It knows it is supposed to connect new with old on its own. It knows it is supposed to prepare 3 trading ideas every morning on its own. It knows it connects the live trader only when a thesis is contradicted or an ultra-confident idea appears. → Reader pulls about 80 articles and highlights a day from Readwise, Twitter, and Kindle → Listener transcribes 4 to 6 podcasts a week through Airr and Whisper → Catcher intercepts all voice and text ideas through the Telegram bot, averaging 15 to 20 a day → Connector updates the connection graph between 4,000 notes every night, adding 25 to 30 new edges → Briefer puts a fresh brief with 3 trading ideas and the emerging thesis into the inbox at exactly 6:00 → Mobile answers any question about the vault by voice and confirms alerts right from the iPhone And only when a new note contradicts his active thesis or 1 of the ideas breaks 90% confidence does the orchestrator raise the owner with a push notification. And when the trader at that moment is driving to the gym or eating breakfast, the Mobile agent in his iPhone answers any quick question about the vault by voice: what he wrote about this ticker last week, which 3 sources support the idea of long NVDA, and what counter-thesis already sits in his notes. The trader makes the decision and sends the order before New York opens. The fresh brief from last Monday looks like this: "reader: 78 materials added over the weekend, 11 of them about semiconductors, 4 about energy, 3 about biotech. passing to connector." "connector: 27 new connections found between fresh materials and the vault, the strongest one is that the Goldman report from Wednesday matches the NVDA thesis you wrote 3 weeks ago." "briefer: 3 trading ideas for today: long NVDA (confidence 0.84), short Tesla at the close of the quarterly report (0.71), watch URI (0.62). emerging thesis of the week: the market is underpricing capex on data centers." "alert: your fresh note about long-term risk in semis contradicts the NVDA thesis. sending for review." In his work setup there is no cloud server, no team of analysts, and not even a Bloomberg subscription. At home sits a Mac Mini with a local Obsidian vault, on top run 6 N8N pipelines and a neural network analyst, and the same vault mirrors to a secure terminal on the iPhone. Out of everything I have seen this year, this is the cleanest solo trading setup on a second brain: $120 a month on the API, about $30,000 a month into the account, and between them 6 pipelines, 4,000 connected notes, and 1 iPhone in the pocket.show more

THIS $2 AI VISUAL SETUP JUST MADE A $250/MONTH... CREATIVE STACK LOOK STUPID he moves his hand, the particles react, and the whole scene updates in real time. no cloud render farm, no paid visual API, no expensive plugin chain quietly eating money every month most people still think ai visuals require a stack of $39 tools, $89 subscriptions, and constant API usage. but here the loop is simple: TouchDesigner handles the visuals, a local model handles the logic, and the laptop does the rest the important part is not that the particles look cool. the important part is that the “brain” behind the visual no longer has to live on someone else’s server once that moves local, the monthly bill falls off a cliff this is probably how a lot of small studios start building visuals soon: not by renting 6 tools forever, but by owning one system that runs almost for freeshow more

It is wild to me that this design got... from someone’s cute idea (“Let’s put the Union Jack on the tail lights!”) through every step of production and regulation and onto the road, resulting in a right turn signal that points left and a left turn signal that points rightshow more

THIS GUY TURNED HIMSELF INTO AN AI GIRL IN... ONE SECOND. THE WORKFLOW BEHIND IT CAN RUN A $5,000/MONTH FANVUE PAGE IN 40 MINUTES A DAY 00:01 he raises his arms and instantly turns into an AI girl sitting in the same chair, ready to stream without ever showing his real face Claude creates the name, personality, captions and replies. one prompt can generate a full week of content while keeping the same character across TikTok and Fanvue ComfyUI with Flux builds the face and photo library. Kling 3.0 animates the images, then CapCut turns them into 30 to 50 short videos in one afternoon three daily streams and one clip reaching 400,000 views can send 70 buyers into a $15 Fanvue subscription. paid messages and tips are what push the page past $5,000 he stays behind the camera, Claude runs the brain and the AI girl becomes a business that works every dayshow more

There is a room in Málaga that was built... to be the closest thing on earth to standing inside heaven. It is called the camarín of the Virgin of Victory, and it is hidden at the top of a tower inside the Santuario de la Victoria. To reach it, you climb and the ascent is the entire point... The building you are climbing through was completed in 1700, and it was designed as a single argument made in stone. At the bottom lies a crypt: a black chamber crowded with white plaster skeletons, a meditation on death and the brevity of life. From there a staircase rises, and as you climb it the light grows stronger and the imagery changes from bones to saints. The architects of the time understood this ascent as the soul's own journey, the dark crypt as the stage of penitence, the staircase as the stage of spiritual progress, and the room at the very top as the final stage: the union of the soul with the divine. That room at the top is the camarín, and its dome is one of the most extraordinary interiors in Spain... Every surface is covered in white and gold plasterwork. There is no empty space anywhere. The Baroque called this horror vacui, the horror of the void: the conviction that a space meant to represent heaven should not contain a single bare patch of stone. Out of that plasterwork emerge angels, flowers, birds, and mirrors. The mirrors are not decoration alone. They catch the light pouring in through the windows of the drum and throw it around the chamber, so that the gold seems to move and the whole room appears to shimmer and breathe. This wonder was built by people who believed that if you wanted to show a human being what heaven might feel like, you did not describe it to them. You built a room, and you let them climb into it... -- -- -- If you enjoyed this, I write a weekly newsletter read by over 50,000 people who love rediscovering the beauty of the past. You can join us here: If you'd like to support my work, a paid subscription is what makes it possible.show more

It is not possible to kill enemy dogs in... Indiana Jones and the Great Circle; you can only scare them into a docile state with the whip or gunfire. If the player points a gun at a defeated dog and pulls the trigger, Indy will check his gun instead of firing.show more

A driver caught on surveillance camera flying through an... intersection in Murray Utah and the internet is going crazy trying to figure out who is at fault here - this is exactly the kind of reckless driving that turns a normal afternoon into a tragedy in a split second. Intersections are already one of the most dangerous spots on any road and when somebody decides the rules don’t apply to them everybody around them becomes a victim of that decision. Watch the video and drop your verdict in the comments.show more

⚡️JUST IN: The Israeli occupation gathers large numbers of... children and women into a hole and surrounds them with gunfire before allowing them to flee from the northern Gaza Strip. According to a testimony from one of the women in Jabalia: “They took all the children from their mothers and put them in something resembling a pit or a hole. The tank came and circled around them several times until they were covered in dirt and sand, amidst the screams of children and the wailing of mothers. After that, the soldiers came and started throwing the children in the direction of the mothers. If a mother picked up a child, she had to carry them and move quickly without confirming that the child was indeed hers. Many of the mothers picked up children that weren't theirs, forced to leave with other women's children. Here, a new chapter of suffering begins, as a mother searches for her child in the hands of another woman, calming a child in her arms until she finds her own.”show more

🇨🇳 Another great Chinese Model, OmniHuman-1.5 from ByteDance Turns... 1 image plus a voice track into expressive avatar video by pairing a System 1 and System 2 inspired planner with a Diffusion Transformer, Produces coherent motion for over 1 minute with moving camera and multi character scenes. Most avatar models move to the beat of the audio but miss meaning, so gestures feel generic and emotions feel shallow. The fix here is a Multimodal LLM planner that listens to the speech and drafts a structured plan describing intent, emotions, beats, and high level actions, which gives the motion engine clear semantic targets instead of only rhythm. The motion engine is a Multimodal Diffusion Transformer that fuses the plan with audio, the single reference image, and optional text prompts, then synthesizes continuous body, face, and head motion that matches both words and tone. A key trick is a Pseudo Last Frame, a synthetic target that summarizes the next expected state, which stabilizes fusion across modalities and keeps motion consistent over long spans. From just 1 image and speech, the system outputs speaking avatars with synchronized lips, context aware gestures, and continuous camera movement, and it also supports multi character interactions without manual choreography. Reported results show strong lip sync accuracy, high video quality, natural motion, and close match to text prompts, and the same setup works on nonhuman characters too.show more

Under the hood of every gaussian splat lives a... point cloud - what this mean is we can do some really cool things! With points and particles being so relative - you can actually treat them as if they were the same. Here we're using INSYDIUM X-Particles to drive a nexus particle simulation from the millions of splat points directly. This opens the doors to tons of creative opportunities for splats via XP with the full stack of modifiers and controls to take your splat assets to the next level! Rendered with OTOY Octane 2026show more

Prompt : A realistic cinematic scene opens high in... the Swiss Alps at midnight. A dense web of rail lines glows under pale blue moonlight reflecting off endless snowfields. A high-speed express train tears through a mountain junction, sparks flying from the tracks against walls of packed ice. The camera drops from above and latches onto the frost-covered roof of the train, racing forward along the length of the carriages, freezing wind tearing at the lens, snow crystals streaking past like tiny stars. It reaches a ventilation grate and punches downward through the metal seamlessly into a first-class cabin warm with amber light. Inside, quiet warmth. A couple sits shoulder to shoulder, each wearing one earbud from the same pair of wired headphones. Neither speaks. She stares out the frosted window. He stares at her reflection in it. A faint smile sits on his face that he doesn't know is there. The white cord hangs between them in a gentle arc, swaying with the train's rhythm like a lifeline neither wants to unplug. The camera pushes forward past their tangled silhouette, along the fogged window where her fingertip has traced a small lopsided heart in the condensation, past the swaying wine bottle, through the cabin wall, through the next cabin where passengers sleep bundled in coats and scarves, breath barely visible in the cooler air, and continues through the far exterior wall — emerging outside in one unbroken motion, the full train now revealed stretching behind the camera, every window a different shade of warmth and darkness against the blue-black alpine night. The camera rises and pulls far back to reveal the train crossing a moonlit viaduct, a frozen glacial valley shimmering below, jagged peaks dusted in ice glowing on the horizon like ancient teeth of the earth. End on a wide aerial shot, the train now a ribbon of golden light threading between glacier and stone. Silence except for the distant rhythmic clatter of wheels on rail joints, fading like a heartbeat slowing to sleep.show more

A regular American developer bought $1,400 worth and stacked... seven Mac Minis on top of each other and connected them with metal cables. Neighbors thought he was building a mining server. His wife thought he'd lost his mind. He just didn't want to pay $15,000 a month for a dev team. On the screen - a diagram. Seven Mac Minis connected via Ethernet working as one machine. EXO framework distributes tasks between them automatically. 11.44 TFLOPS each. Together - more than most cloud servers that companies pay thousands for every month. He paid $1,400 for the hardware once. 38 agents from GitHub, 156 skills. A system that learns from session to session and in two weeks writes code just like he does - but seven times faster because it runs on seven machines in parallel. A task that took a junior dev 10-12 hours - the tower closes in 20 minutes. One founder with this setup ships a product like a team of eight people. For $20 a month instead of $120,000 a year. This 7 Mac Mini setup helped him win the Anthropic hackathon and make $26,000 without a team.show more

This Chinese developer launched Llama 70B locally on a... MacBook on a plane and for a full 11 hours without internet ran client projects. He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of memory. WiFi on board cost $25 for the flight. He declined. No cloud API, no connection to Anthropic or OpenAI servers, no internet at all. Just a local Llama 3.3 70B on bf16 and his own orchestrator script. The model runs through llama.cpp. Generation speed, 71 tokens per second. Context around 60,000 tokens. Memory usage, 48.6 GiB out of 64. Battery at takeoff, 3 hours 21 minutes. And he gave the orchestrator this system prompt before takeoff: "You are an offline orchestrator running on a single MacBook. There is no network. The only resources you have are local files in /Users/dev/work, the Llama 70B inference server at localhost:8080, and a battery budget of 3 hours 21 minutes. Process the queue at /Users/dev/work/queue.jsonl (one client task per line). For each task: draft → run local evals → save artefact to /Users/dev/work/done/. Save context checkpoints every 12 tasks so you can resume after a battery swap. Stop only on empty queue or when battery drops below 5%." So the system knows exactly what resources it is running on. It knows it has no connection to the outside world for the next 11 hours. It knows it has finite memory and a finite battery. It knows the human will not intervene until the plane lands. The system runs in 1 loop. Takes a task from the queue, runs it through inference, saves the artifact, writes a checkpoint. Task after task, just like that. And only when the battery drops below 5% does the orchestrator automatically pause, waits for the laptop to switch to the backup power bank, and continues from the last checkpoint. Here is what the system actually writes in his log during the flight: "saved context checkpoint 8 of 12 (pos_min = 488, pos_max = 50118, size = 62.813 MiB)" "restored context checkpoint (pos_min = 488, pos_max = 50118)" "prompt processing progress: n_tokens = 50 / 60 818" "task 37016 done | tps = 71 s tokens text → /Users/dev/work/done/proposal_westside.md" Outside the window, clouds, blue sky, and no WiFi. On the tray, 1 MacBook, an open terminal on 2 screens, and an inference server on localhost. From what I have observed, this is the cleanest offline AI workflow I have seen in the past year: 11 hours of flight, $0 for WiFi, and the entire client queue closed before landing.show more

On the road to find the Grave of an... NS party member that died in the early 1930’s in Eastern-Prussia. His grave is located on his estate property as this family was from an aristocratic family. The grave is Pagan and Christian at the same time.. The Haken* in the middle shows light beams on the side to depict the sun. The grave stands deep in the forest surrounded by a half circle of stones. There is also a Christian Cross on his coffin. The most interesting is that there is quote from Christ AND from AH on the back of his gravestone. This shows that this individual regarded both Christ and AH as his saviour. This locations is deep in the woods and hard to get to, the family estate is no longer there and no paths lead to it.. There is only nature, silence and a forgotten grave of another era.show more

This theory changes everything and places us directly in... the time of the second coming of the Messiah, the battle with the Antichrist, and the messianic reign. In order to arrive at this time frame, we need to rethink the starting point of the Great Year, and by changing that date, it will literally realign the entire Great Year, the four ages of man, and place us in the final act of the divine comedy. The equinoxes and solstices are important reference points in the regular year. Equinoxes occur when day and night are approximately equal in length, while solstices occur when either the day is the longest (summer solstice) or the night is the longest (winter solstice). In esoteric terms, this represents the battle between light and darkness. Dive into this deep rabbit hole thread and let’s explore this theory to see if it makes sense! I will also give you a time window for the Messiah! (1/7)🧵show more

"A miniature Wukong holding a stick in his hand... sprints across a table surface for 3 seconds, then jumps into the air, and swings his right arm downward during landing. The camera begins with a close-up of his face, then steadily follows the character while gradually zooming out. When the monkey leaps into the air, at the highest point of the jump, the motion pauses for a few seconds. The camera circles around the character for 360 degrees, and slowly ascends, before the action resumes." From Genesisshow more