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We’ve built a brand-new VTS plugin for Minecraft! 1. Drive VTS physics engine scheduling based on the player character's vector acceleration in-game 2.Real-time texture replacement and eating animations 3.In-game equipment mapping 4.Status particle effects 5.In-game GUI display 6.Status bar UI rendering 7.Damage impact feedback Under the hood, a Fabric... show more

Wha1ex3💤Live2D

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156,912 views • 9 days ago •via X (Twitter)

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This VTS plugin triggers custom model visual effects for CS2 match states: visual feedback when flashed, entering/exiting smoke clouds, taking damage, burning from molotovs, and upon player death. This VTS-compatible plugin is a joint creation by my friend and me, fully functional with CS2 at this stage. The current in-game status animations were put together casually (●´ω｀●) ゞ Feel free to drop suggestions for other games you’d want linked to your model! Disclaimer: Official game API access is a hard requirement for any new game integration. Tools operating without official support risk detection as cheats, which may result in permanent account suspension. #Live2D #VTB #CS2

This VTS plugin triggers custom model visual effects for CS2 match states: visual feedback when flashed, entering/exiting smoke clouds, taking damage, burning from molotovs, and upon player death. This VTS-compatible plugin is a joint creation by my friend and me, fully functional with CS2 at this stage. The current in-game status animations were put together casually (●´ω｀●) ゞ Feel free to drop suggestions for other games you’d want linked to your model! Disclaimer: Official game API access is a hard requirement for any new game integration. Tools operating without official support risk detection as cheats, which may result in permanent account suspension. #Live2D #VTB #CS2

Wha1ex3💤Live2D

479,864 views • 2 months ago

Apples, oranges, and the future of 3d ;-) Realtime, instant feedback, real-time lighting, and effects in a more painterly, sculptural, intuitive workflow. An underlying game engine lets you make full games, interactive movies, or art installations. AI takes care of the final layer of stylization. Realistic, cartoony, custom style based on reference images or mostly custom built with minimal ai for things of less importance. Bake it into the point cloud or keep it dynamic for the end-user to modify or for a unique experience. #AI #3d

Apples, oranges, and the future of 3d ;-) Realtime, instant feedback, real-time lighting, and effects in a more painterly, sculptural, intuitive workflow. An underlying game engine lets you make full games, interactive movies, or art installations. AI takes care of the final layer of stylization. Realistic, cartoony, custom style based on reference images or mostly custom built with minimal ai for things of less importance. Bake it into the point cloud or keep it dynamic for the end-user to modify or for a unique experience. #AI #3d

Martin Nebelong

73,757 views • 2 years ago

THIS GUY VIBE CODED GTA 6 ON GOOGLE EARTH IN ONE WEEKEND WITH CLAUDE CODE he built a browser based GTA style game that runs on top of real google earth cities drop into any real city on earth and drive through the actual streets real cops chase you, shoot at you, and arrest you at real police stations your in car radio auto tunes to real local stations based on where you are in the game (radio garden API) planes spawn at every real airport, boats spawn at every real port (OSM data) when you die you respawn at the nearest actual hospital. when you get arrested you respawn at the nearest actual police station the stack: - cesium for rendering google 3D tiles in browser - three.js for vehicles and physics - radio garden + OSM for the location data - claude code wrote 80% of the code this is the type of project that would have taken MONTHS to create this guy did it in less than 48 hours with barely any effort the possibilities with vibe coding in the game dev space are actually endless

THIS GUY VIBE CODED GTA 6 ON GOOGLE EARTH IN ONE WEEKEND WITH CLAUDE CODE he built a browser based GTA style game that runs on top of real google earth cities drop into any real city on earth and drive through the actual streets real cops chase you, shoot at you, and arrest you at real police stations your in car radio auto tunes to real local stations based on where you are in the game (radio garden API) planes spawn at every real airport, boats spawn at every real port (OSM data) when you die you respawn at the nearest actual hospital. when you get arrested you respawn at the nearest actual police station the stack: - cesium for rendering google 3D tiles in browser - three.js for vehicles and physics - radio garden + OSM for the location data - claude code wrote 80% of the code this is the type of project that would have taken MONTHS to create this guy did it in less than 48 hours with barely any effort the possibilities with vibe coding in the game dev space are actually endless

Om Patel

123,234 views • 3 months ago

Why the character movement in my custom game engine felt janky and how I fixed it. In a game engine, most often, a character moves using the physics engine. Meaning, the player is not just a coordinate in space but a physical body. It has velocity, it handles collisions, and it interacts with the world. Now, as you might know, physics engines need stability. If you run them at variable framerates, things start breaking. Objects phase through walls or fly off into space because the math becomes unpredictable. This is why most game engines lock their physics loop to a 60Hz fixed rate. But here’s the problem: If you have a high-end system, you don't want to limit it at 60 FPS. That's a waste of good hardware. Now, that said, if the GPU is rendering at 144 FPS but the player's position (physics driven) only updates 60 times a second, it creates a micro-stutter that ruins the "smooth" feel of the game. A good way to fix this is to treat the character as two separate things: 1. The Physics Body (Invisible part): This is the "real" character. It lives in the 60Hz physics world, it moves the player and handles collisions. 2. The Visual Model and Camera (Visible part): This is what the player actually sees. It doesn't care about collisions, its only job is to look nice and smooth at whatever framerate the GPU is pushing. Once you have this separation, you can use interpolation to keep them in sync. Every time the physics clock ticks, you save the previous position of the invisible body before moving it to the new one. Between those ticks, calculate how far we are between the last physics update and the next one. By using this to drive the visible parts of the game, the stutters disappear. The physics loop stays fixed behind the scenes, while the visuals slide smoothly between the snapshots. Example: - Right after a tick: blend_weight= 0.0 (The visual model stays at the old physics position). - Halfway to the next: blend_weight= 0.5 (The visual model slides to the middle point). - Just before the next: blend_weight= 0.9 (The visual model is almost at the new physics position). Pro-Tip A critical mistake I made initially, and one many devs make, is parenting the camera and visible parts directly to the player body. If you do this, the camera inherits the discrete 60Hz physics movement by default. In that setup, interpolation won't work because the camera is "stuck" to the physics clock. For this fix to work you must decouple the camera and visuals from the body and move them separately. Player movement processing in Detis Engine: - fixed_process: Physics runs at 60Hz. Handles collisions and raw movement. - process: Variable rate. Mainly used for player input caching in the player case. - late_process: Variable rate. Handles interpolated camera movement after physics and everything else is done being processed. - render. Submits the final interpolated transforms to the GPU. The test environment in the video is running on an old 2070-based laptop. Hopefully the video compression won't introduce any stutter... I’m sharing this in hopes it helps a fellow dev. Cheers.

Why the character movement in my custom game engine felt janky and how I fixed it. In a game engine, most often, a character moves using the physics engine. Meaning, the player is not just a coordinate in space but a physical body. It has velocity, it handles collisions, and it interacts with the world. Now, as you might know, physics engines need stability. If you run them at variable framerates, things start breaking. Objects phase through walls or fly off into space because the math becomes unpredictable. This is why most game engines lock their physics loop to a 60Hz fixed rate. But here’s the problem: If you have a high-end system, you don't want to limit it at 60 FPS. That's a waste of good hardware. Now, that said, if the GPU is rendering at 144 FPS but the player's position (physics driven) only updates 60 times a second, it creates a micro-stutter that ruins the "smooth" feel of the game. A good way to fix this is to treat the character as two separate things: 1. The Physics Body (Invisible part): This is the "real" character. It lives in the 60Hz physics world, it moves the player and handles collisions. 2. The Visual Model and Camera (Visible part): This is what the player actually sees. It doesn't care about collisions, its only job is to look nice and smooth at whatever framerate the GPU is pushing. Once you have this separation, you can use interpolation to keep them in sync. Every time the physics clock ticks, you save the previous position of the invisible body before moving it to the new one. Between those ticks, calculate how far we are between the last physics update and the next one. By using this to drive the visible parts of the game, the stutters disappear. The physics loop stays fixed behind the scenes, while the visuals slide smoothly between the snapshots. Example: - Right after a tick: blend_weight= 0.0 (The visual model stays at the old physics position). - Halfway to the next: blend_weight= 0.5 (The visual model slides to the middle point). - Just before the next: blend_weight= 0.9 (The visual model is almost at the new physics position). Pro-Tip A critical mistake I made initially, and one many devs make, is parenting the camera and visible parts directly to the player body. If you do this, the camera inherits the discrete 60Hz physics movement by default. In that setup, interpolation won't work because the camera is "stuck" to the physics clock. For this fix to work you must decouple the camera and visuals from the body and move them separately. Player movement processing in Detis Engine: - fixed_process: Physics runs at 60Hz. Handles collisions and raw movement. - process: Variable rate. Mainly used for player input caching in the player case. - late_process: Variable rate. Handles interpolated camera movement after physics and everything else is done being processed. - render. Submits the final interpolated transforms to the GPU. The test environment in the video is running on an old 2070-based laptop. Hopefully the video compression won't introduce any stutter... I’m sharing this in hopes it helps a fellow dev. Cheers.

Ioannis Koukourakis

48,636 views • 7 months ago

I ditched Unreal for AI. Kaiju Engine is a completely AI written replacement. To prove it was ready for production, I tested it by recreating and porting my old game, Firefall, into Kaiju, purely from the Steam download, no source. And it worked. Real game code is messy, full of difficult details and compromises. If our engine could handle a commercially released game, it proves you can ship a game with it. We're developing 2 orders of magnitude faster (93x) by lines of code and features. We have fewer bugs, and iteration is super fast. Build times have gone from 30 mins (Unreal) to 36 seconds. Feature rate is through the roof, days instead of months. Our original engine for Firefall took 2-3 years and cost over 5M to build (adjusted). Our new engine was written in 5 months for a couple grand. We built only what we needed, with none of the Unreal bloat. And we added some features: - Modern meshlet based rendering with PBR. - Vis Buffer/Forward+ with clustered lighting. - Id Tech 5 style megatexture streaming. - Planetary sized renderer (entire solar systems possible). - Seamless flight from ground to orbit and space. - No loading screens. - Procedural planet generation with plate simulation. - Client/Server at all times. - Ozz for animation. Jolt for Physics. - Companion Blender plug-in for AI directed asset exports. - 140fps currently, 200-300 projected after optimizations. You can see Firefall's assets and levels ported over into our engine in the video. Texture resolution and pop-in are limitations of the original game (high rez CDN based textures were lost when game went offline, fog hid the original's pop-in). Our meshlet renderer will be able to do much better with LOD and already supports high rez textures. I used Grok/Codex/Claude to tag team the code. This is not just a boon for indie games, it's a real game changer for game preservation. The reaction to seeing this 10 year old discontinued game revived is very emotional for Firefall fans. But we're not just preserving Firefall, we're going beyond, creating an original game that is the spiritual successor, Em-8ER. Gliding, jumpjets... it's all coming back. Moving past Unreal let us move much faster, without the bloat, and with better performance. If you want to signup to follow news on the game, sign up is free at

I ditched Unreal for AI. Kaiju Engine is a completely AI written replacement. To prove it was ready for production, I tested it by recreating and porting my old game, Firefall, into Kaiju, purely from the Steam download, no source. And it worked. Real game code is messy, full of difficult details and compromises. If our engine could handle a commercially released game, it proves you can ship a game with it. We're developing 2 orders of magnitude faster (93x) by lines of code and features. We have fewer bugs, and iteration is super fast. Build times have gone from 30 mins (Unreal) to 36 seconds. Feature rate is through the roof, days instead of months. Our original engine for Firefall took 2-3 years and cost over 5M to build (adjusted). Our new engine was written in 5 months for a couple grand. We built only what we needed, with none of the Unreal bloat. And we added some features: - Modern meshlet based rendering with PBR. - Vis Buffer/Forward+ with clustered lighting. - Id Tech 5 style megatexture streaming. - Planetary sized renderer (entire solar systems possible). - Seamless flight from ground to orbit and space. - No loading screens. - Procedural planet generation with plate simulation. - Client/Server at all times. - Ozz for animation. Jolt for Physics. - Companion Blender plug-in for AI directed asset exports. - 140fps currently, 200-300 projected after optimizations. You can see Firefall's assets and levels ported over into our engine in the video. Texture resolution and pop-in are limitations of the original game (high rez CDN based textures were lost when game went offline, fog hid the original's pop-in). Our meshlet renderer will be able to do much better with LOD and already supports high rez textures. I used Grok/Codex/Claude to tag team the code. This is not just a boon for indie games, it's a real game changer for game preservation. The reaction to seeing this 10 year old discontinued game revived is very emotional for Firefall fans. But we're not just preserving Firefall, we're going beyond, creating an original game that is the spiritual successor, Em-8ER. Gliding, jumpjets... it's all coming back. Moving past Unreal let us move much faster, without the bloat, and with better performance. If you want to signup to follow news on the game, sign up is free at

Grummz

346,479 views • 4 days ago

This game was vibe coded in 2 days - INSANE how far we’ve come Model used: muranyi-3: - Prompts: 39 - Token usage: $90 (so far) - Starter prompt: First world prompt for the game: “Create the Foundation for a third-person 3D high medieval fantasy set in a mountainous open plain with a distant castle landmark.” First prompt to make the character: "Okay, I wanna start building a new game and just figuring out a really awesome character to start. A hooded purple wizard with a world-class third-person player and movement system. Decoupled camera versus walking direction, with jogging and walking in all directions with the camera behind the player.” Tip from our best builders: Start with 3 to 4 prompts just planning. Tell the AI what your game is, the core loop, the vibe, the genre. Don't rush into building yet. Let the model scope it out with you first. Once that first output lands, that's when you start iterating. Tweak the animations, shape the world, adjust the UI, dial in the details. The best games on Tesana aren't built in one prompt. They're built in one conversation.

This game was vibe coded in 2 days - INSANE how far we’ve come Model used: muranyi-3: - Prompts: 39 - Token usage: $90 (so far) - Starter prompt: First world prompt for the game: “Create the Foundation for a third-person 3D high medieval fantasy set in a mountainous open plain with a distant castle landmark.” First prompt to make the character: "Okay, I wanna start building a new game and just figuring out a really awesome character to start. A hooded purple wizard with a world-class third-person player and movement system. Decoupled camera versus walking direction, with jogging and walking in all directions with the camera behind the player.” Tip from our best builders: Start with 3 to 4 prompts just planning. Tell the AI what your game is, the core loop, the vibe, the genre. Don't rush into building yet. Let the model scope it out with you first. Once that first output lands, that's when you start iterating. Tweak the animations, shape the world, adjust the UI, dial in the details. The best games on Tesana aren't built in one prompt. They're built in one conversation.

Tesana - Make games with AI

551,866 views • 2 months ago

Ok I've used Codex 5.4 Extra High for something that saved me so many hours and thousands of dollars and may interest you: -> how I automatically translate my game in 9 languages 1) I did the whole game in English, with no localization in mind 2) Then everybody told me that the reach is way higher by adding local languages 3) So I had a long chat with Codex to write a great spec to build a localization interface and super simple process for afterwards (I want to keep the simplicity) 4) Then translated the game in 9 languages! 5) Every localization is challenged a second time to improve 6) We are talking 580 keys per language - it took 1h35 to find all the hardcoded text and add keys - then it took 1h15 min to do all v1 translations 7) BONUS: it translates automatically all audio with ElevenLabs (using their text to speech skill) Total: Roughly 3 hours to implement a translation system and to translate the game Can any Japanese person tell me if the translation is good? There were 2 challenges: - translating once - keeping the game translated Now it's a blessing: I still work on the game like the usual, and if I add new text, it will automatically create the keys and translate in all languages just with basic instructions in Agents.md + a pre-commit hook to ensure it's done. I hope to use the tool for a professional or community-based human review in the future! Hope it helps:)

Ok I've used Codex 5.4 Extra High for something that saved me so many hours and thousands of dollars and may interest you: -> how I automatically translate my game in 9 languages 1) I did the whole game in English, with no localization in mind 2) Then everybody told me that the reach is way higher by adding local languages 3) So I had a long chat with Codex to write a great spec to build a localization interface and super simple process for afterwards (I want to keep the simplicity) 4) Then translated the game in 9 languages! 5) Every localization is challenged a second time to improve 6) We are talking 580 keys per language - it took 1h35 to find all the hardcoded text and add keys - then it took 1h15 min to do all v1 translations 7) BONUS: it translates automatically all audio with ElevenLabs (using their text to speech skill) Total: Roughly 3 hours to implement a translation system and to translate the game Can any Japanese person tell me if the translation is good? There were 2 challenges: - translating once - keeping the game translated Now it's a blessing: I still work on the game like the usual, and if I add new text, it will automatically create the keys and translate in all languages just with basic instructions in Agents.md + a pre-commit hook to ensure it's done. I hope to use the tool for a professional or community-based human review in the future! Hope it helps:)

Nicolas Zullo

13,418 views • 4 months ago

Robotics has a massive, silent bottleneck. It isn’t just data collection—it’s the brutal 1x speed of the physical world. Genesis AI Genesis AI just unveiled Genesis World 1.0, and they are attempting to turn the notorious Sim2Real gap into a pure compute problem. Evaluating a robotics foundation model across edge cases usually means hundreds of hours of physical lab testing. With Genesis World 1.0, what traditionally takes nearly a week of continuous, real-world operation is being compressed into 30 minutes in simulation. What makes this different from just dropping a robot model into an off-the-shelf game engine? 1️⃣ Nyx Renderer: A custom, real-time path-traced engine rendering noise-free 1080p frames in under 4ms. Game engines use rasterization tricks that confuse AI; Nyx uses physically accurate multi-bounce lighting so the model's "eyes" see exactly what real sensors see. 2️⃣ Quadrants Compiler: A custom Python-to-GPU compiler to run heavily parallelized multi-physics simulations (rigid bodies, fluids, deformables) natively across architectures. 3️⃣ Evaluation First: They aren't rushing to train on synthetic data. They are using this purely for closed-loop evaluation to perfect the physics first, currently claiming an impressive 89% correlation with real-world hardware tests. If the industry can accurately evaluate models in simulation without the physical world bottleneck, humanoid development stops moving at wall-clock time and starts scaling with compute.

Robotics has a massive, silent bottleneck. It isn’t just data collection—it’s the brutal 1x speed of the physical world. Genesis AI Genesis AI just unveiled Genesis World 1.0, and they are attempting to turn the notorious Sim2Real gap into a pure compute problem. Evaluating a robotics foundation model across edge cases usually means hundreds of hours of physical lab testing. With Genesis World 1.0, what traditionally takes nearly a week of continuous, real-world operation is being compressed into 30 minutes in simulation. What makes this different from just dropping a robot model into an off-the-shelf game engine? 1️⃣ Nyx Renderer: A custom, real-time path-traced engine rendering noise-free 1080p frames in under 4ms. Game engines use rasterization tricks that confuse AI; Nyx uses physically accurate multi-bounce lighting so the model's "eyes" see exactly what real sensors see. 2️⃣ Quadrants Compiler: A custom Python-to-GPU compiler to run heavily parallelized multi-physics simulations (rigid bodies, fluids, deformables) natively across architectures. 3️⃣ Evaluation First: They aren't rushing to train on synthetic data. They are using this purely for closed-loop evaluation to perfect the physics first, currently claiming an impressive 89% correlation with real-world hardware tests. If the industry can accurately evaluate models in simulation without the physical world bottleneck, humanoid development stops moving at wall-clock time and starts scaling with compute.

Humanoids daily

17,240 views • 2 months ago

claude playing TFT -- i ran it for two games and it improved in-context from 0 to 3/30 rounds won. it figured out "3-starring" on its own (buying pairs to upgrade units) which is a core mechanic of this game and hasnt been instructed on how to play besides asking it to "play tft and win" comparing this cua agent to OpenAI Five's result from 2017 which is a different game, model(a big LSTM), had access to Dota's API outputted a discrete action at 4.6hz this cua agent runs at 0.15hz considering it takes anywhere from 2-15 seconds to think(0.07hz without), and is just pixels in, any mouse/keyboard out... and (potentially) wasnt trained on TFT specifically but not sure despite this 2-15s seems to be fine for a turned based game like TFT but in prior videos like league/minecraft is considerably harder for a cua agent to do since by the time you take a screenshot the game state may have changed and you've wasted 7 seconds thinking, and another 7 seconds thinking about the new game state, and catastrophically failing like that. the intention here is not to play TFT or league with a bot. please dont use it as such

claude playing TFT -- i ran it for two games and it improved in-context from 0 to 3/30 rounds won. it figured out "3-starring" on its own (buying pairs to upgrade units) which is a core mechanic of this game and hasnt been instructed on how to play besides asking it to "play tft and win" comparing this cua agent to OpenAI Five's result from 2017 which is a different game, model(a big LSTM), had access to Dota's API outputted a discrete action at 4.6hz this cua agent runs at 0.15hz considering it takes anywhere from 2-15 seconds to think(0.07hz without), and is just pixels in, any mouse/keyboard out... and (potentially) wasnt trained on TFT specifically but not sure despite this 2-15s seems to be fine for a turned based game like TFT but in prior videos like league/minecraft is considerably harder for a cua agent to do since by the time you take a screenshot the game state may have changed and you've wasted 7 seconds thinking, and another 7 seconds thinking about the new game state, and catastrophically failing like that. the intention here is not to play TFT or league with a bot. please dont use it as such

Surya

222,132 views • 8 months ago

Physics-based Motion Retargeting from Sparse Inputs paper page: Avatars are important to create interactive and immersive experiences in virtual worlds. One challenge in animating these characters to mimic a user's motion is that commercial AR/VR products consist only of a headset and controllers, providing very limited sensor data of the user's pose. Another challenge is that an avatar might have a different skeleton structure than a human and the mapping between them is unclear. In this work we address both of these challenges. We introduce a method to retarget motions in real-time from sparse human sensor data to characters of various morphologies. Our method uses reinforcement learning to train a policy to control characters in a physics simulator. We only require human motion capture data for training, without relying on artist-generated animations for each avatar. This allows us to use large motion capture datasets to train general policies that can track unseen users from real and sparse data in real-time. We demonstrate the feasibility of our approach on three characters with different skeleton structure: a dinosaur, a mouse-like creature and a human. We show that the avatar poses often match the user surprisingly well, despite having no sensor information of the lower body available. We discuss and ablate the important components in our framework, specifically the kinematic retargeting step, the imitation, contact and action reward as well as our asymmetric actor-critic observations. We further explore the robustness of our method in a variety of settings including unbalancing, dancing and sports motions.

AK

106,527 views • 3 years ago

WE ARE WATCHING THE TRADITIONAL 3D RENDERING PIPELINE GET REPLACED IN REAL TIME PixVerse just dropped an amazing early experiment called PixVerse Game. Instead of hardcoding mechanics to specific character models, they figured out how to completely decouple a game's underlying math from what you actually see on screen. Here is how their new 3-layer architecture works: ✦ The Engine → handles the raw rules, objectives, and health points. ✦ The Agent → uses AI to translate a player's natural language into valid game moves. ✦ The Visuals → an underlying R1 model generates the world and audio on the fly. Why does this matter? Because you can take the exact same game rules and swap the world instantly. (e.g., swapping from a sci-fi mission to an anime adventure without rewriting the game). This is a fascinating look at where gaming is heading! You can try PixVerse Game here → Currently invite-only, but I snagged a few access codes for y'all :) Code 1: CTQLMY Code 2: LQCAYS Enjoy!

WE ARE WATCHING THE TRADITIONAL 3D RENDERING PIPELINE GET REPLACED IN REAL TIME PixVerse just dropped an amazing early experiment called PixVerse Game. Instead of hardcoding mechanics to specific character models, they figured out how to completely decouple a game's underlying math from what you actually see on screen. Here is how their new 3-layer architecture works: ✦ The Engine → handles the raw rules, objectives, and health points. ✦ The Agent → uses AI to translate a player's natural language into valid game moves. ✦ The Visuals → an underlying R1 model generates the world and audio on the fly. Why does this matter? Because you can take the exact same game rules and swap the world instantly. (e.g., swapping from a sci-fi mission to an anime adventure without rewriting the game). This is a fascinating look at where gaming is heading! You can try PixVerse Game here → Currently invite-only, but I snagged a few access codes for y'all :) Code 1: CTQLMY Code 2: LQCAYS Enjoy!

Charly Wargnier

73,152 views • 1 month ago

this is what 12 gigs of VRAM built in 2026. a 9 billion parameter model running on a 5 year old RTX 3060 wrote a full space shooter from a single prompt. blank screen on first try. i came back with a bug list and the same model on the same card fixed every issue across 11 files without touching a single line myself. enemies still looked wrong so i pushed another iteration and now the game has pixel art octopi, particle effects, screen shake, projectile physics and a combo system. all running locally on a card that was designed to play fortnite. three iterations. zero cloud. zero API calls. every token generated on hardware sitting under my desk. the model reads its own code, finds what's broken, patches it, validates syntax and restarts the server. i just describe what's wrong and it handles the rest. people are paying monthly subscriptions to type into a browser tab and wait for a server farm to respond. meanwhile a GPU you can find used on ebay is running a full autonomous hermes agent framework with 31 tools, 128K context window and thinking mode generating at 29 tokens per second nonstop. the game still needs work. level upgrades don't trigger and boss fights need tuning. but the fact that i'm iterating on gameplay balance instead of debugging whether the code runs at all tells you where this is headed. every iteration the game gets better on the same hardware. same 12 gigs. same 9 billion parameters. same RTX 3060 from 5 years ago your GPU is not a gaming card anymore. it's a local AI lab that never sends your data anywhere.

this is what 12 gigs of VRAM built in 2026. a 9 billion parameter model running on a 5 year old RTX 3060 wrote a full space shooter from a single prompt. blank screen on first try. i came back with a bug list and the same model on the same card fixed every issue across 11 files without touching a single line myself. enemies still looked wrong so i pushed another iteration and now the game has pixel art octopi, particle effects, screen shake, projectile physics and a combo system. all running locally on a card that was designed to play fortnite. three iterations. zero cloud. zero API calls. every token generated on hardware sitting under my desk. the model reads its own code, finds what's broken, patches it, validates syntax and restarts the server. i just describe what's wrong and it handles the rest. people are paying monthly subscriptions to type into a browser tab and wait for a server farm to respond. meanwhile a GPU you can find used on ebay is running a full autonomous hermes agent framework with 31 tools, 128K context window and thinking mode generating at 29 tokens per second nonstop. the game still needs work. level upgrades don't trigger and boss fights need tuning. but the fact that i'm iterating on gameplay balance instead of debugging whether the code runs at all tells you where this is headed. every iteration the game gets better on the same hardware. same 12 gigs. same 9 billion parameters. same RTX 3060 from 5 years ago your GPU is not a gaming card anymore. it's a local AI lab that never sends your data anywhere.

Sudo su

170,848 views • 5 months ago

GLM-5.1 > Claude Code (Opus 4.6)? I'm tripping or CC has become very bad but built a Three.js racing game to eval and it's extremely impressive. Thoughts: - One-shot car physics with real drift mechanics (this is hard) - My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen - 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters - All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio! - Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed You are going to hear about this model a lot in the next months - open source let's go 🚀🚀

GLM-5.1 > Claude Code (Opus 4.6)? I'm tripping or CC has become very bad but built a Three.js racing game to eval and it's extremely impressive. Thoughts: - One-shot car physics with real drift mechanics (this is hard) - My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen - 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters - All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio! - Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed You are going to hear about this model a lot in the next months - open source let's go 🚀🚀

Victor M

202,410 views • 4 months ago

Thrilled to announce Kingnet AI V2 is now officially live ! We have officially deployed on the BNB Chain first ! Whether you're an enthusiast or a professional game developer, come and try it out now： Each generated asset costs approximately $3 and supports export in professional game-editing formats. We will soon support exporting assets in NFT on-chain formats, empowering Web3 users and partners with seamless integration. Jump down more rabbit holes next.👇 📔 Product Introduction： By conversing naturally with agent Joi, users can achieve a complete automated game development cycle - from requirement proposal to finished product delivery. Users simply need to describe their game concepts and design requirements in natural language, and Joi will automatically utilize built-in generator including: • Animation Generator： AI-driven motion generation with auto-rigging technology for instant character animation • Map Generator： Procedural map generation with built-in logic validation for consistent world-building • Numerical Generator： Automated game economy tuning for fair yet challenging gameplay systems • Editable Code Generator： Generates clean, maintainable game logic code with multi-platform/multi-language support • Interface Generator： Intelligent layout engine that optimizes user experience and interaction flow Joi intelligently generates all necessary game components, performs multi-dimensional feasibility checks, and ultimately completes game synthesis, packaging and deployment. Users can directly click to try the game on the chat interface, or download the complete editable code package to achieve rapid iteration and secondary development. 🎯 Core Architecture： 1/ Natural Language Understanding & Multimodal Intent Parsing: Utilizing advanced deep learning NLP models (e.g., Transformer-based language understanding models), Joi precisely interprets user natural language inputs and extracts core game design intents and parameters. Through semantic segmentation and entity recognition, complex requirements are decomposed into specific tasks for animation, map, numerical systems, UI, and code modules. 2/ Modular Editor System & API Integration: Joi employs a unified API framework to enable seamless collaboration between editor modules, ensuring high compatibility in data formats and workflows. 3/ Intelligent Validation & Quality Assurance: The system incorporates multi-dimensional verification mechanisms including animation continuity checks, map pathfinding and physical logic validation, game balance analysis, UI interaction consistency verification, and static/dynamic code security testing. Automated testing and feedback loops ensure outputs meet high-standard game design specifications. 4/ Automatic Synthesis, Packaging & Instant Deployment: Verified resources are automatically integrated to complete game compilation, packaging and deployment. Supports one-click generation of playable online links and downloadable complete code packages for immediate testing or deep customization/iterative development. 5/ Interactive Chat Interface & Seamless UX: The entire workflow is completed within the chat interface, significantly reducing traditional game development's communication and operational barriers. Users accomplish complex game design and development through conversation while receiving real-time feedback and adjustment suggestions, democratizing game creation. 6/ Industry-Disrupting Value: Transforms traditional manual development into AI-driven automated pipelines.

Thrilled to announce Kingnet AI V2 is now officially live ! We have officially deployed on the BNB Chain first ! Whether you're an enthusiast or a professional game developer, come and try it out now： Each generated asset costs approximately $3 and supports export in professional game-editing formats. We will soon support exporting assets in NFT on-chain formats, empowering Web3 users and partners with seamless integration. Jump down more rabbit holes next.👇 📔 Product Introduction： By conversing naturally with agent Joi, users can achieve a complete automated game development cycle - from requirement proposal to finished product delivery. Users simply need to describe their game concepts and design requirements in natural language, and Joi will automatically utilize built-in generator including: • Animation Generator： AI-driven motion generation with auto-rigging technology for instant character animation • Map Generator： Procedural map generation with built-in logic validation for consistent world-building • Numerical Generator： Automated game economy tuning for fair yet challenging gameplay systems • Editable Code Generator： Generates clean, maintainable game logic code with multi-platform/multi-language support • Interface Generator： Intelligent layout engine that optimizes user experience and interaction flow Joi intelligently generates all necessary game components, performs multi-dimensional feasibility checks, and ultimately completes game synthesis, packaging and deployment. Users can directly click to try the game on the chat interface, or download the complete editable code package to achieve rapid iteration and secondary development. 🎯 Core Architecture： 1/ Natural Language Understanding & Multimodal Intent Parsing: Utilizing advanced deep learning NLP models (e.g., Transformer-based language understanding models), Joi precisely interprets user natural language inputs and extracts core game design intents and parameters. Through semantic segmentation and entity recognition, complex requirements are decomposed into specific tasks for animation, map, numerical systems, UI, and code modules. 2/ Modular Editor System & API Integration: Joi employs a unified API framework to enable seamless collaboration between editor modules, ensuring high compatibility in data formats and workflows. 3/ Intelligent Validation & Quality Assurance: The system incorporates multi-dimensional verification mechanisms including animation continuity checks, map pathfinding and physical logic validation, game balance analysis, UI interaction consistency verification, and static/dynamic code security testing. Automated testing and feedback loops ensure outputs meet high-standard game design specifications. 4/ Automatic Synthesis, Packaging & Instant Deployment: Verified resources are automatically integrated to complete game compilation, packaging and deployment. Supports one-click generation of playable online links and downloadable complete code packages for immediate testing or deep customization/iterative development. 5/ Interactive Chat Interface & Seamless UX: The entire workflow is completed within the chat interface, significantly reducing traditional game development's communication and operational barriers. Users accomplish complex game design and development through conversation while receiving real-time feedback and adjustment suggestions, democratizing game creation. 6/ Industry-Disrupting Value: Transforms traditional manual development into AI-driven automated pipelines.

Kingnet AI

45,966 views • 1 year ago

Game #1: Flappy Llama This is my first time experimenting with Scene Graph, and I absolutely love it. I can just drop down as many Flappy Llama machines as I want, and each one works as its own fully independent arcade game. Fortnite Developers #UEFN #Verse Tim Sweeney - 100% Verse UI built with Material Blocks and parameter control - Local sound effects play directly from each machine (idle SFX or gameplay triggers) - Dynamically updating leaderboard - Machine animates on player input so others see it in use (including the screen showing it’s occupied) I’m not great with materials, so huge shoutout to Blanky | R-leeo Maoate for setting me up with a simple material that had the parameters I needed to make the game work (and for helping me figure out how to decorate my fun little machine). Game #2 will be shown soon, it just needs a few final touch-ups, but I love it just as much. (here's your hint 💣🧹)

Game #1: Flappy Llama This is my first time experimenting with Scene Graph, and I absolutely love it. I can just drop down as many Flappy Llama machines as I want, and each one works as its own fully independent arcade game. Fortnite Developers #UEFN #Verse Tim Sweeney - 100% Verse UI built with Material Blocks and parameter control - Local sound effects play directly from each machine (idle SFX or gameplay triggers) - Dynamically updating leaderboard - Machine animates on player input so others see it in use (including the screen showing it’s occupied) I’m not great with materials, so huge shoutout to Blanky | R-leeo Maoate for setting me up with a simple material that had the parameters I needed to make the game work (and for helping me figure out how to decorate my fun little machine). Game #2 will be shown soon, it just needs a few final touch-ups, but I love it just as much. (here's your hint 💣🧹)

DolphinDom 🐬 | Dominic Catelani

18,788 views • 9 months ago

Isn't it about time we brought the Blue Blur back home to a Sega console?! Presenting Sonic Mania Plus... running on an actual physical Sega Dreamcast! While there's no audio yet, and the 3D effects and stages have yet to be hooked up, developer Michael Fadely, has done an INCREDIBLE job getting this title ported over so far! He worked some serious voodoo to get this game fitting into 16MB of RAM, and has even had to push against VRAM limitations, even with texture paletting being used, due to there just being so many goddamn sprites loaded at once. What you WILL notice here is that she's running at a perfect 60FPS with the DC barely even trying at all for the majority of the game! This is due to his work implementing a custom HW accelerated rendering back-end that directly uses our low-level PVR driver in KallistiOS, rather than the SW renderer used by most ports of the game. While he still has a long way to go, it's incredible how playable the game already is and just how damn good and at home it feels on the Sega Dreamcast!

Isn't it about time we brought the Blue Blur back home to a Sega console?! Presenting Sonic Mania Plus... running on an actual physical Sega Dreamcast! While there's no audio yet, and the 3D effects and stages have yet to be hooked up, developer Michael Fadely, has done an INCREDIBLE job getting this title ported over so far! He worked some serious voodoo to get this game fitting into 16MB of RAM, and has even had to push against VRAM limitations, even with texture paletting being used, due to there just being so many goddamn sprites loaded at once. What you WILL notice here is that she's running at a perfect 60FPS with the DC barely even trying at all for the majority of the game! This is due to his work implementing a custom HW accelerated rendering back-end that directly uses our low-level PVR driver in KallistiOS, rather than the SW renderer used by most ports of the game. While he still has a long way to go, it's incredible how playable the game already is and just how damn good and at home it feels on the Sega Dreamcast!

Falco Girgis

94,113 views • 1 year ago

🔥 $KATA FAM! THIS IS HUGE!🔥🥳 The moment we’ve all been waiting for is finally here… Katana Inu Battle Royale is about to go LIVE. 🚀 PLAYABLE FULL GAME - 20th January! Our Battle Royale mode becomes playable for the first time. That is what the developers said. So hopefully, no delays! 😍 This will be a live test phase, and right after that, we’ll bring the game online for everyone to download and play right away! This isn’t just an update 👉 This is a massive milestone for $KATA ⚔️ WHAT HAPPENS AFTER THE TEST? Once the Battle Royale test is complete, we move fast. Now? 👉 WE’RE ALMOST READY.🔥 4 years of building, grinding, and perfecting 😍 We’ll start integrating our already developed Web3 infrastructure directly into the game, including: 🧠 Web3 Multichain Wallet in our Game 🎮 Player Progression UI UX 🖼️ NFT Purchasing in our Game $KATA burn activation, news coming soon! 🔥 And much more! 🚀 Most of this is already built... now it’s about clean structure, smooth integration, and solid testing! After that… 💰 PLAY-TO-EARN GOES LIVE FOR TESTING - TOGETHER WITH THE COMMUNITY 💎 $KATA TOKEN - WE’RE COOKING 👀🔥 With the game finally ready, unlocks real power: - Web3 gaming launchers - Gaming guilds onboarding - Play-to-Earn & Burn activation - In-game NFT skins & weapons - Play live with our Partners/collabs & more! Let's make $KATA great again! 🗺️ ROADMAP & MILESTONES (STRAIGHT TO THE POINT) The game will be ready now! We will just add more polishing to check every corner! Goal: Make the game GOOD and READY for everyone!😍 Here’s the current estimated roadmap we’re aiming to a better place that deserves! 🔥 JANUARY – FULL POWER MODE - General polishing across the entire game - Activate some new videos - Game/Server testing with all Modes - Server stress tests - Preparing for public access - Steam wishlist push & Epic Games - Improving animations, VFX, and sound FX - Integrating player progression into UI / UX - Pushing $KATA into the spotlight! 🔥 ⚡ FEBRUARY – SCALE & POLISH🚀 - Streamers start testing & mass gameplay sessions - Further polish across gameplay and visuals - Final player progression UI/UX integration - AI bots are fully ready inside the game - Bring the $KATA token more visibility into the Web3 community and Game Launchers with p2e. - Launch our first in-game NFT mint, fully integrated and playable directly inside the game ✍️Deliver on all our promises to holders! Allowing NFTs, including 3D characters and weapons, to finally come to life and be used in actual gameplay Focus on: - Visibility on $KATA & our Game - Real gameplay feedback - Steam wishlists & Getting Players for web3 🚀 MARCH – BOOST GAME READY - Final polishing complete - Public-ready version - Roll out $KATA utility and bring it to a much wider audience - Preparing for Steam / Epic Games launch - Streamers & communities fully activated🚀 Please wishlist Katana Inu on Steam: 📣 MARKETING & PLAYER GROWTH - Collaborations with streamers - $KATA into the focus for more holders - Coverage across multiple social platforms - Playing on different web3 game launchers to bring more players into Katana Inu! What comes next? After mid-March, we’ll share new updates and unveil the plan for the next 3 months! The reason for the delay was simple: Battle Royale is complex - and we refused to rush it. 🔥 DROP YOUR HYPE IN THE COMMENTS, FAM This is just the beginning of Katana Inu’s real journey. We’re giving our best for you, $KATA Fam! ❤️ LET’S BUILD. LET’S PLAY. LET’S WIN. ⚔️🐺🔥

🔥 $KATA FAM! THIS IS HUGE!🔥🥳 The moment we’ve all been waiting for is finally here… Katana Inu Battle Royale is about to go LIVE. 🚀 PLAYABLE FULL GAME - 20th January! Our Battle Royale mode becomes playable for the first time. That is what the developers said. So hopefully, no delays! 😍 This will be a live test phase, and right after that, we’ll bring the game online for everyone to download and play right away! This isn’t just an update 👉 This is a massive milestone for $KATA ⚔️ WHAT HAPPENS AFTER THE TEST? Once the Battle Royale test is complete, we move fast. Now? 👉 WE’RE ALMOST READY.🔥 4 years of building, grinding, and perfecting 😍 We’ll start integrating our already developed Web3 infrastructure directly into the game, including: 🧠 Web3 Multichain Wallet in our Game 🎮 Player Progression UI UX 🖼️ NFT Purchasing in our Game $KATA burn activation, news coming soon! 🔥 And much more! 🚀 Most of this is already built... now it’s about clean structure, smooth integration, and solid testing! After that… 💰 PLAY-TO-EARN GOES LIVE FOR TESTING - TOGETHER WITH THE COMMUNITY 💎 $KATA TOKEN - WE’RE COOKING 👀🔥 With the game finally ready, unlocks real power: - Web3 gaming launchers - Gaming guilds onboarding - Play-to-Earn & Burn activation - In-game NFT skins & weapons - Play live with our Partners/collabs & more! Let's make $KATA great again! 🗺️ ROADMAP & MILESTONES (STRAIGHT TO THE POINT) The game will be ready now! We will just add more polishing to check every corner! Goal: Make the game GOOD and READY for everyone!😍 Here’s the current estimated roadmap we’re aiming to a better place that deserves! 🔥 JANUARY – FULL POWER MODE - General polishing across the entire game - Activate some new videos - Game/Server testing with all Modes - Server stress tests - Preparing for public access - Steam wishlist push & Epic Games - Improving animations, VFX, and sound FX - Integrating player progression into UI / UX - Pushing $KATA into the spotlight! 🔥 ⚡ FEBRUARY – SCALE & POLISH🚀 - Streamers start testing & mass gameplay sessions - Further polish across gameplay and visuals - Final player progression UI/UX integration - AI bots are fully ready inside the game - Bring the $KATA token more visibility into the Web3 community and Game Launchers with p2e. - Launch our first in-game NFT mint, fully integrated and playable directly inside the game ✍️Deliver on all our promises to holders! Allowing NFTs, including 3D characters and weapons, to finally come to life and be used in actual gameplay Focus on: - Visibility on $KATA & our Game - Real gameplay feedback - Steam wishlists & Getting Players for web3 🚀 MARCH – BOOST GAME READY - Final polishing complete - Public-ready version - Roll out $KATA utility and bring it to a much wider audience - Preparing for Steam / Epic Games launch - Streamers & communities fully activated🚀 Please wishlist Katana Inu on Steam: 📣 MARKETING & PLAYER GROWTH - Collaborations with streamers - $KATA into the focus for more holders - Coverage across multiple social platforms - Playing on different web3 game launchers to bring more players into Katana Inu! What comes next? After mid-March, we’ll share new updates and unveil the plan for the next 3 months! The reason for the delay was simple: Battle Royale is complex - and we refused to rush it. 🔥 DROP YOUR HYPE IN THE COMMENTS, FAM This is just the beginning of Katana Inu’s real journey. We’re giving our best for you, $KATA Fam! ❤️ LET’S BUILD. LET’S PLAY. LET’S WIN. ⚔️🐺🔥

Katana Inu

12,788 views • 7 months ago

GeoLibre v1.6.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings multi-map layouts, advanced cartographic symbology and labeling, and a one-click way to install external plugins from a zip. What's new in v1.6.0 - Multi-map grid: Split the workspace into a grid of synchronized map views to compare basemaps, layers, or time steps side by side. - Advanced symbology: Style features with a rule-based renderer, proportional symbols, fill patterns, and a built-in marker library. - Label engine: Label vector features by any attribute, with full placement and styling control. - Install plugins from a zip: Add external plugins from an uploaded zip on both desktop and web. - New vector analysis: Movement, space-time, and cell-coverage tools under Processing. - Faster sample data: Ready-to-load example datasets from a dropdown in every Add Data panel. - Place search in the layer panel: Geocode and fly to a location without leaving the Layers panel. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python #Cartography

GeoLibre v1.6.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings multi-map layouts, advanced cartographic symbology and labeling, and a one-click way to install external plugins from a zip. What's new in v1.6.0 - Multi-map grid: Split the workspace into a grid of synchronized map views to compare basemaps, layers, or time steps side by side. - Advanced symbology: Style features with a rule-based renderer, proportional symbols, fill patterns, and a built-in marker library. - Label engine: Label vector features by any attribute, with full placement and styling control. - Install plugins from a zip: Add external plugins from an uploaded zip on both desktop and web. - New vector analysis: Movement, space-time, and cell-coverage tools under Processing. - Faster sample data: Ready-to-load example datasets from a dropdown in every Add Data panel. - Place search in the layer panel: Geocode and fly to a location without leaving the Layers panel. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python #Cartography

Qiusheng Wu

15,473 views • 1 month ago

At the end of the day, as I discussed with Jordan Peterson, there are just two games to be played, one real, one Woke. The real game is called civilization. The false game is called power. A long post/🧵: The real divide between Woke and not Woke is in power. The Woke game is the power game, and it is a parasite on the real game, which is civilization. Here's roughly how Jordan described the foundation of this idea. There are various rules, norms, etc., in the game society ultimately plays, and these create a hierarchy that is based upon competence, mostly organically, obviously imperfectly. If the rules of the game are good enough, the imperfections (natural corruptions) are minor and society thrives. If they are not, you'll have problems. This is the real game of building society, and it ultimately has to favor competence. This game must be called "civilization" because that's not just its goal but it is also what it does. It civilizes us beyond our base instincts and impulses so we can work together productively in a healthy manner that generates prosperity. As Jordan put it, this game is also a reservoir of value, and reservoirs of value create parasites. What are these civilizational parasites? They’re parallel games organized by and around malignant psychopathological modes like Dark Tetrad traits, psychopathy, and Cluster-B disorders: histrionic, borderline, antisocial, and narcissistic. These malignant pathologies render people incompetent except at manipulation, so they cannot rise far in a healthy civilizational hierarchy. What do they do, then, to gain power and status in life in a game they cannot actually play? They define a parasitic parallel game and rope people into playing it. It is parasitic in that it draws off the real game (civilization) and mimics its form so that the hosts (people in society) are less likely to realize it’s there, but it doesn’t build or create of its own. It siphons and tears down. What drives this game is failing to see what makes the civilizational game and the hierarchy it produces legitimate in the first place. This is characteristic of the psychopathologies at its heart. The narcissist imagines the world should be serving himself at the top, but it isn’t. The problem can’t be himself, so it must be that the game is illegitimate. Otherwise, he’d be at the top, but he isn’t. Therefore, the game is corrupt. His histrionic nature makes him a victim of the real game, preying upon emotions like empathy and righteous indignation to recruit followers. Because of his Dark Tetrad alignment, his game is not only illegitimate but toxic. It’s inherently sadistic, cruel to its recruits in the way typical of all cults—alternating punishment and leniency or even love-bombing. It’s dishonest. It’s psychologically broken from reality. It’s also a Machiavellian game, which means it has no interest in moral or ethical behavior but only in power. Thus, this rival game to the game of civilization is the game of power. The parasitic game—that is, the power game—is based on a fundamental failure to understand the legitimacy of the civilizational game or the approximately legitimate hierarchy it produces. This is a result of its narcissism, mostly. The game cannot be legitimate because the psychopath isn’t on top of it, where he sees himself constantly as a projection from his frail ego. It sees power in the real hierarchy, though, which it can perceive and understand, and for which it blames most of its troubles. What this means is that the (Woke) power game develops a critical theory of the existing legitimate civilization game. That’s why Woke means “using critical theory (and activism).” A critical theory exists not to articulate a vision—at least not beyond a Utopia after the cult power game holds power to enforce its power game long enough—but to “criticize those aspects of the existing society we wish to change,” as Max Horkheimer, creator of the Critical Theory, put it. The critical theory of the power game exists to recruit by delegitimizing the civilization game in the minds of some of its players, usually ones who aren’t succeeding as well. It picks at “contradictions,” failures, and imperfections while casting the whole civilization game as corrupt and unjust. It offers itself as the only alternative to civilization game while pulling at the threads of the civilization game that allow people to believe in it. It all proceeds from the Woke failure to understand the legitimacy of the hierarchy of the civilization game as it proceeds from its set of rules. Misunderstanding legitimacy leads it to conclude that all hierarchies are actually based in power, and all power is fundamentally arbitrary. That is, they do not believe all power is illegitimate. They believe power is the only legitimate thing in any hierarchy, but they also believe that power is located in persons like themselves through their narcissism and projection. Think of Voldemort as an icon of this mode of thinking: “there is no good or evil, only power and those too weak to seek it.” Of course, that quintessential Dark Tetrad perspective is what ensures the psychopathological power game will be rigged to make sure the psychopaths are attracted to it and rise to its top. This belief is what we call Woke. The Woke game is the power game, and it is a parasitic competitor to the civilization game. There is no overlap between these two games. To adopt the power game is to abandon the civilization game entirely and, in fact, to become its enemy. But James, you might ask, isn’t there power in civilization? Yes, there is, and necessarily, but it isn’t what defines the civilization game. It’s a byproduct of the game, not the game itself. The civilization game is fundamentally the building out of an organic and dynamic hierarchy based on a set of rules, or what some people call “muh principles,” that will succeed or fail for that civilization in direct proportion to three things. 1) How aligned with the truth are the rules of the civilization game? 2) How aligned with justice are the rules of the civilization game? 3) How willing are the participants of the civilization game to defend their principles and their game, including against socio-parasitical perversion? The more aligned with truth and justice a civilization game is, the more successful it will be, and the more legitimate its hierarchy. The power that results as a byproduct is extremely legitimate in a highly aligned civilization where people haven’t forgotten their charge to defend the game itself, which is what we call responsibility. A civilization game strongly aligned with truth and justice filled with a preponderance of responsible people will produce a thriving, prosperous society. It only works this way every time. Not everyone is responsible, though. Some are also incompetent because of various pathologies (not talking about for other reasons). Those pathological players may, under certain circumstances, create a parasitic side game with themselves on top through a variety of strategies that mimic the values and principles of the real game while distorting them into power plays because their game is power, as discussed above. They will recruit into that game primarily from those who are resentful of the real game for any variety of reasons, and getting recruited into the power game from the civilization game is called “going Woke.”

At the end of the day, as I discussed with Jordan Peterson, there are just two games to be played, one real, one Woke. The real game is called civilization. The false game is called power. A long post/🧵: The real divide between Woke and not Woke is in power. The Woke game is the power game, and it is a parasite on the real game, which is civilization. Here's roughly how Jordan described the foundation of this idea. There are various rules, norms, etc., in the game society ultimately plays, and these create a hierarchy that is based upon competence, mostly organically, obviously imperfectly. If the rules of the game are good enough, the imperfections (natural corruptions) are minor and society thrives. If they are not, you'll have problems. This is the real game of building society, and it ultimately has to favor competence. This game must be called "civilization" because that's not just its goal but it is also what it does. It civilizes us beyond our base instincts and impulses so we can work together productively in a healthy manner that generates prosperity. As Jordan put it, this game is also a reservoir of value, and reservoirs of value create parasites. What are these civilizational parasites? They’re parallel games organized by and around malignant psychopathological modes like Dark Tetrad traits, psychopathy, and Cluster-B disorders: histrionic, borderline, antisocial, and narcissistic. These malignant pathologies render people incompetent except at manipulation, so they cannot rise far in a healthy civilizational hierarchy. What do they do, then, to gain power and status in life in a game they cannot actually play? They define a parasitic parallel game and rope people into playing it. It is parasitic in that it draws off the real game (civilization) and mimics its form so that the hosts (people in society) are less likely to realize it’s there, but it doesn’t build or create of its own. It siphons and tears down. What drives this game is failing to see what makes the civilizational game and the hierarchy it produces legitimate in the first place. This is characteristic of the psychopathologies at its heart. The narcissist imagines the world should be serving himself at the top, but it isn’t. The problem can’t be himself, so it must be that the game is illegitimate. Otherwise, he’d be at the top, but he isn’t. Therefore, the game is corrupt. His histrionic nature makes him a victim of the real game, preying upon emotions like empathy and righteous indignation to recruit followers. Because of his Dark Tetrad alignment, his game is not only illegitimate but toxic. It’s inherently sadistic, cruel to its recruits in the way typical of all cults—alternating punishment and leniency or even love-bombing. It’s dishonest. It’s psychologically broken from reality. It’s also a Machiavellian game, which means it has no interest in moral or ethical behavior but only in power. Thus, this rival game to the game of civilization is the game of power. The parasitic game—that is, the power game—is based on a fundamental failure to understand the legitimacy of the civilizational game or the approximately legitimate hierarchy it produces. This is a result of its narcissism, mostly. The game cannot be legitimate because the psychopath isn’t on top of it, where he sees himself constantly as a projection from his frail ego. It sees power in the real hierarchy, though, which it can perceive and understand, and for which it blames most of its troubles. What this means is that the (Woke) power game develops a critical theory of the existing legitimate civilization game. That’s why Woke means “using critical theory (and activism).” A critical theory exists not to articulate a vision—at least not beyond a Utopia after the cult power game holds power to enforce its power game long enough—but to “criticize those aspects of the existing society we wish to change,” as Max Horkheimer, creator of the Critical Theory, put it. The critical theory of the power game exists to recruit by delegitimizing the civilization game in the minds of some of its players, usually ones who aren’t succeeding as well. It picks at “contradictions,” failures, and imperfections while casting the whole civilization game as corrupt and unjust. It offers itself as the only alternative to civilization game while pulling at the threads of the civilization game that allow people to believe in it. It all proceeds from the Woke failure to understand the legitimacy of the hierarchy of the civilization game as it proceeds from its set of rules. Misunderstanding legitimacy leads it to conclude that all hierarchies are actually based in power, and all power is fundamentally arbitrary. That is, they do not believe all power is illegitimate. They believe power is the only legitimate thing in any hierarchy, but they also believe that power is located in persons like themselves through their narcissism and projection. Think of Voldemort as an icon of this mode of thinking: “there is no good or evil, only power and those too weak to seek it.” Of course, that quintessential Dark Tetrad perspective is what ensures the psychopathological power game will be rigged to make sure the psychopaths are attracted to it and rise to its top. This belief is what we call Woke. The Woke game is the power game, and it is a parasitic competitor to the civilization game. There is no overlap between these two games. To adopt the power game is to abandon the civilization game entirely and, in fact, to become its enemy. But James, you might ask, isn’t there power in civilization? Yes, there is, and necessarily, but it isn’t what defines the civilization game. It’s a byproduct of the game, not the game itself. The civilization game is fundamentally the building out of an organic and dynamic hierarchy based on a set of rules, or what some people call “muh principles,” that will succeed or fail for that civilization in direct proportion to three things. 1) How aligned with the truth are the rules of the civilization game? 2) How aligned with justice are the rules of the civilization game? 3) How willing are the participants of the civilization game to defend their principles and their game, including against socio-parasitical perversion? The more aligned with truth and justice a civilization game is, the more successful it will be, and the more legitimate its hierarchy. The power that results as a byproduct is extremely legitimate in a highly aligned civilization where people haven’t forgotten their charge to defend the game itself, which is what we call responsibility. A civilization game strongly aligned with truth and justice filled with a preponderance of responsible people will produce a thriving, prosperous society. It only works this way every time. Not everyone is responsible, though. Some are also incompetent because of various pathologies (not talking about for other reasons). Those pathological players may, under certain circumstances, create a parasitic side game with themselves on top through a variety of strategies that mimic the values and principles of the real game while distorting them into power plays because their game is power, as discussed above. They will recruit into that game primarily from those who are resentful of the real game for any variety of reasons, and getting recruited into the power game from the civilization game is called “going Woke.”

James Lindsay, anti-Communist

154,373 views • 1 year ago

NVIDIA did it again.. they trained a GPT that generates human movement instead of text.. next-token prediction, but the tokens are body motions. it's called GPC and it hit a 99.98% success rate reproducing a massive corpus of motion clips.. cartwheels, vaults, flips, all of it. → 99.98% success rate reproducing motion clips → learns cartwheels, flips, vaulting from raw data → adapts to new tasks with <1% extra parameters studios spend 6-12 months and millions of dollars building custom controllers for one character in one game. GPC does it in one forward pass. Pixar, Ubisoft, and every mocap studio on the planet just felt a chill down their spine. the same next-token trick that gave us ChatGPT is now doing parkour inside a physics engine.

NVIDIA did it again.. they trained a GPT that generates human movement instead of text.. next-token prediction, but the tokens are body motions. it's called GPC and it hit a 99.98% success rate reproducing a massive corpus of motion clips.. cartwheels, vaults, flips, all of it. → 99.98% success rate reproducing motion clips → learns cartwheels, flips, vaulting from raw data → adapts to new tasks with <1% extra parameters studios spend 6-12 months and millions of dollars building custom controllers for one character in one game. GPC does it in one forward pass. Pixar, Ubisoft, and every mocap studio on the planet just felt a chill down their spine. the same next-token trick that gave us ChatGPT is now doing parkour inside a physics engine.

How To Prompt

101,820 views • 26 days ago