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Yes, that's Counter Strike on a PSP! Yes, that's DevTools inspecting game UI! Yes, it's PocketJS! Clean room implemented FPS engine, fully open JavaScript mod API, ~12MB RAM footprint, 60fps, fully open source. ⚡️

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PocketJS

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177,350 просмотров • 14 дней назад •via X (Twitter)

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☁️ Introducing the Helicone AI Gateway, *now on the cloud* Pass-through billing. Bring your own key. 1 API 100+ models 0% markup 99% uptime And yes, it’s fully open source. Here’s how it works 👇
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☁️ Introducing the Helicone AI Gateway, *now on the cloud* Pass-through billing. Bring your own key. 1 API 100+ models 0% markup 99% uptime And yes, it’s fully open source. Here’s how it works 👇

Justin Torre

35,228 просмотров • 10 месяцев назад

Paper Shaders: now fully open source and FREE Yes, you can make a: plugin, tool, template, site, app, library. Resell it. Make a Figma plugin. It's already code. Go for it! We're pushing shaders forward. New Paper Shaders on the way.
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Paper Shaders: now fully open source and FREE Yes, you can make a: plugin, tool, template, site, app, library. Resell it. Make a Figma plugin. It's already code. Go for it! We're pushing shaders forward. New Paper Shaders on the way.

Stephen Haney

534,071 просмотров • 22 дней назад

If the engine is strong enough, you should be able to build real products on top of it. That's the whole point of LTX-2.3. Introducing LTX Desktop. A fully local, open-source video editor running directly on the LTX engine, optimized for NVIDIA GPUs and compatible hardware.
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If the engine is strong enough, you should be able to build real products on top of it. That's the whole point of LTX-2.3. Introducing LTX Desktop. A fully local, open-source video editor running directly on the LTX engine, optimized for NVIDIA GPUs and compatible hardware.

LTX

953,814 просмотров • 4 месяцев назад

Frontier-level agentic capabilities and long-horizon coding, open source and fully private. That's GLM 5.2, now on Venice. Here's a full walkthrough to build a retro video game with GLM 5.2 and OpenCode, starting from a single prompt:
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Frontier-level agentic capabilities and long-horizon coding, open source and fully private. That's GLM 5.2, now on Venice. Here's a full walkthrough to build a retro video game with GLM 5.2 and OpenCode, starting from a single prompt:

Venice

27,426 просмотров • 1 месяц назад

🚨 California voter reporting voting machines only had the option ‘Yes on Prop 50’ for Gavin Newsom’s Redistricting “My mom went and voted in person and the guy pulls up the screen for her — it's only coming up "yes". And my mom's like, ‘Um, this is not giving me a voting option.’ He's like, "Yeah, you just press that button." — The guy was only setting her up for ‘yes’” “Tell me how that's not fully rigged. Gavin Newsom be up to some shady stuff, because the guy literally only gave her the option to vote "yes". My 78-year-old mom — tell me they ain't rigging the election” “It’s absolutely ridiculous”
1:27

🚨 California voter reporting voting machines only had the option ‘Yes on Prop 50’ for Gavin Newsom’s Redistricting “My mom went and voted in person and the guy pulls up the screen for her — it's only coming up "yes". And my mom's like, ‘Um, this is not giving me a voting option.’ He's like, "Yeah, you just press that button." — The guy was only setting her up for ‘yes’” “Tell me how that's not fully rigged. Gavin Newsom be up to some shady stuff, because the guy literally only gave her the option to vote "yes". My 78-year-old mom — tell me they ain't rigging the election” “It’s absolutely ridiculous”

Wall Street Apes

1,130,165 просмотров • 8 месяцев назад

ELON MUSK: DON’T TAKE ANYONE’S OPINION….GO TO THE SOURCE MATERIAL AND COMMUNITY NOTES TO SEE WHAT REALLY HAPPENED As soon as any company steps out of line and is willing to actually have the truth debated on their platform, it forces the other platforms to allow things to be more truthful, to not censor. Because their censorship becomes glaringly obvious And, you know, the best thing I found as a rebuttal, like if somebody, if there's a hoax, is just go to the source material. You know, if you think if somebody thinks, you know, it's, you know, Trump said that we should put Liz Cheney in a firing squad, I'm like, let me send you a link to X so you can watch his video. That's the best way. Don't take my opinion for it. Don't take anyone's opinion for it. Go to the source material and Community Notes Yes, and Community Notes is awesome. It's incredible because everybody gets checked, including me. And with Community Notes, all the software is open source, and all the data is open source, so you can recreate any given note independently. That's amazing. Yeah. That's how it should be. Total absolute transparency in every way Sometimes I get asked like, 'Elon, can you remove a note?' You know, mostly by the left, but sometimes by the right. I'm like, I don't even remove notes on my own account. Nothing. And, and by the way, everything is totally open. So if I did that, it would stick out like a sore thumb immediately. Like it's not going to be subtle That is the best counter to misinformation. Yes, absolutely. Like let everybody look at it and say, 'Okay, here's what the actual facts say.' Yes, exactly. The counter to misinformation is better information Not just that, but having it checked in real-time by the community. So you have millions of people that can go over it and debate whether or not this is true or that's true. Yes, and, and like I said, the best way to understand the truth of things is don't take anyone's opinion for it. Look at the source material Look at what someone actually said, look at what someone actually did, look at the real videos of the situation, and then you'll actually know what's real
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ELON MUSK: DON’T TAKE ANYONE’S OPINION….GO TO THE SOURCE MATERIAL AND COMMUNITY NOTES TO SEE WHAT REALLY HAPPENED As soon as any company steps out of line and is willing to actually have the truth debated on their platform, it forces the other platforms to allow things to be more truthful, to not censor. Because their censorship becomes glaringly obvious And, you know, the best thing I found as a rebuttal, like if somebody, if there's a hoax, is just go to the source material. You know, if you think if somebody thinks, you know, it's, you know, Trump said that we should put Liz Cheney in a firing squad, I'm like, let me send you a link to X so you can watch his video. That's the best way. Don't take my opinion for it. Don't take anyone's opinion for it. Go to the source material and Community Notes Yes, and Community Notes is awesome. It's incredible because everybody gets checked, including me. And with Community Notes, all the software is open source, and all the data is open source, so you can recreate any given note independently. That's amazing. Yeah. That's how it should be. Total absolute transparency in every way Sometimes I get asked like, 'Elon, can you remove a note?' You know, mostly by the left, but sometimes by the right. I'm like, I don't even remove notes on my own account. Nothing. And, and by the way, everything is totally open. So if I did that, it would stick out like a sore thumb immediately. Like it's not going to be subtle That is the best counter to misinformation. Yes, absolutely. Like let everybody look at it and say, 'Okay, here's what the actual facts say.' Yes, exactly. The counter to misinformation is better information Not just that, but having it checked in real-time by the community. So you have millions of people that can go over it and debate whether or not this is true or that's true. Yes, and, and like I said, the best way to understand the truth of things is don't take anyone's opinion for it. Look at the source material Look at what someone actually said, look at what someone actually did, look at the real videos of the situation, and then you'll actually know what's real

X Freeze

589,152 просмотров • 7 месяцев назад

Another win for open-source robotics! 🔥 Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: → Hardware files, bill of materials and full assembly documentation → Simulation assets and training environments → Runtime tools for calibration and real-world control → Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem 🤗 LET'S GO!!! Build it here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Another win for open-source robotics! 🔥 Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: → Hardware files, bill of materials and full assembly documentation → Simulation assets and training environments → Runtime tools for calibration and real-world control → Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem 🤗 LET'S GO!!! Build it here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

20,361 просмотров • 2 месяцев назад

Wuthering Waves PS5 Performance Test • Test Setup PS5 Slim (brand new, clean, no dust) Room temperature: 22°C with AC • Map Issue Yes, it's real. The new map is locked to around 2 FPS when opened from the menu, making it extremely laggy. • Stuttering Problems The game has severe stuttering. In some areas, it even freezes for 4–5 seconds, making the experience frustrating. • My Observation From my testing, the game appears to be running at a very high internal resolution on PS5 instead of relying on aggressive upscaling. For example, DLSS Quality at 1440p renders the game internally at approximately 1707×960 before upscaling it to 2560×1440. On PS5, however, it looks like the game is rendering at or near 2560×1440 internally and then upscaling to 4K. If that's true, it's an extremely demanding target for a base PS5. • Is This Fixable? Yes. If the game is indeed using such a high internal resolution, lowering it and using better reconstruction or dynamic resolution scaling could significantly improve performance. Running at such a high internal resolution on a base PS5 doesn't make much sense, and the game has suffered from performance issues for nearly 12 months. • Final Thoughts Kuro Games needs to address this. At this point, we can't keep blaming players, their hardware, or the engine. If the high internal resolution is the cause, it should be adjusted. If it isn't, then something else in the game's optimization is seriously wrong. #WutheringWaves #Gacha
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Wuthering Waves PS5 Performance Test • Test Setup PS5 Slim (brand new, clean, no dust) Room temperature: 22°C with AC • Map Issue Yes, it's real. The new map is locked to around 2 FPS when opened from the menu, making it extremely laggy. • Stuttering Problems The game has severe stuttering. In some areas, it even freezes for 4–5 seconds, making the experience frustrating. • My Observation From my testing, the game appears to be running at a very high internal resolution on PS5 instead of relying on aggressive upscaling. For example, DLSS Quality at 1440p renders the game internally at approximately 1707×960 before upscaling it to 2560×1440. On PS5, however, it looks like the game is rendering at or near 2560×1440 internally and then upscaling to 4K. If that's true, it's an extremely demanding target for a base PS5. • Is This Fixable? Yes. If the game is indeed using such a high internal resolution, lowering it and using better reconstruction or dynamic resolution scaling could significantly improve performance. Running at such a high internal resolution on a base PS5 doesn't make much sense, and the game has suffered from performance issues for nearly 12 months. • Final Thoughts Kuro Games needs to address this. At this point, we can't keep blaming players, their hardware, or the engine. If the high internal resolution is the cause, it should be adjusted. If it isn't, then something else in the game's optimization is seriously wrong. #WutheringWaves #Gacha

Kaito

49,000 просмотров • 9 дней назад

i reverse-engineered gopfan2's weather strategy with Claude gopfan2 has $343,000+ in profit on Polymarket trading nothing but weather markets no BTC. no politics. just temperature. the strategy has 3 rules: → buy YES if price $0.45 → never bet more than $1 per position that's it. 10,000+ trades. same rules. every single time. why it works: retail traders bet on the obvious temperature range they ignore the cheap "tail" buckets → market prices them at 10–12¢ → real probability is closer to 18–20¢ → gopfan2 buys the gap. thousands of times. no weather forecast model needed no satellites. no NOAA API. just: is this bucket priced below 15 cents? yes → buy. Claude reverse-engineered the exact entry/exit logic found that the real edge disappears above 15¢ entry copy the open-source version: watch him: what trader do you want me to reverse-engineer next?
1:14

i reverse-engineered gopfan2's weather strategy with Claude gopfan2 has $343,000+ in profit on Polymarket trading nothing but weather markets no BTC. no politics. just temperature. the strategy has 3 rules: → buy YES if price $0.45 → never bet more than $1 per position that's it. 10,000+ trades. same rules. every single time. why it works: retail traders bet on the obvious temperature range they ignore the cheap "tail" buckets → market prices them at 10–12¢ → real probability is closer to 18–20¢ → gopfan2 buys the gap. thousands of times. no weather forecast model needed no satellites. no NOAA API. just: is this bucket priced below 15 cents? yes → buy. Claude reverse-engineered the exact entry/exit logic found that the real edge disappears above 15¢ entry copy the open-source version: watch him: what trader do you want me to reverse-engineer next?

self.dll

10,493 просмотров • 2 месяцев назад

Video editing has nowadays become a conversation.. you drop raw footage in a folder, tell Claude Code what you want, and get final.mp4 back. its free, open source, 17,000 stars on Github.. it's called video-use. and the reason it's different from every "AI video editor" is how it actually works under the hood.. it doesn't guess. it transcribes every word you said first, then edits off the actual transcript. what it does once your footage is in the folder: - cuts every umm, uh, and false start automatically - kills the dead space between takes - color grades each segment.. warm cinematic, neutral punch, or a custom ffmpeg chain - builds the cut with editor sub-agents, runs the animations in parallel - renders a preview, grades its own work, and iterates until it's clean and yeah.. it asks before it cuts. it shows you the plan in plain english and waits for your yes. it's not a black box that spits out a mystery edit.. you stay the director, it does the labor. ▫️ how to start install the skill in claude code (repo below) drop your raw clips in a folder tell it "cut the filler, tighten the pauses, warm cinematic grade" and let it work And yes, it's a tool, not a taste replacement. it'll hand you a clean, tight cut, but the creative calls, the hook, the pacing, the story.. that's still you. it does the 80% that's grunt work so you spend your time on the 20% that matters. editing stopped being a skill you grind for years. it's a prompt now. repo:
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Video editing has nowadays become a conversation.. you drop raw footage in a folder, tell Claude Code what you want, and get final.mp4 back. its free, open source, 17,000 stars on Github.. it's called video-use. and the reason it's different from every "AI video editor" is how it actually works under the hood.. it doesn't guess. it transcribes every word you said first, then edits off the actual transcript. what it does once your footage is in the folder: - cuts every umm, uh, and false start automatically - kills the dead space between takes - color grades each segment.. warm cinematic, neutral punch, or a custom ffmpeg chain - builds the cut with editor sub-agents, runs the animations in parallel - renders a preview, grades its own work, and iterates until it's clean and yeah.. it asks before it cuts. it shows you the plan in plain english and waits for your yes. it's not a black box that spits out a mystery edit.. you stay the director, it does the labor. ▫️ how to start install the skill in claude code (repo below) drop your raw clips in a folder tell it "cut the filler, tighten the pauses, warm cinematic grade" and let it work And yes, it's a tool, not a taste replacement. it'll hand you a clean, tight cut, but the creative calls, the hook, the pacing, the story.. that's still you. it does the 80% that's grunt work so you spend your time on the 20% that matters. editing stopped being a skill you grind for years. it's a prompt now. repo:

Axel Bitblaze 🪓

109,874 просмотров • 5 дней назад

SAMURAI vs. MetaAI's SAM 2! Traditional visual object tracking struggles in crowded, fast-moving, or self-occluded scenes, as does SAM2. Meet SAMURAI: a completely open-source adaptation of the Segment Anything Model for zero-shot visual tracking! Here's why it's a game-changer: 🚫 No need for retraining or finetuning 🎯 Boosts success rate and precision 🤖 Motion-aware memory selection 💪 Zero-shot performance on diverse datasets But that's not all: 🔬 Refines mask selection 🔮 Predicts object motion effectively 📈 Gains: 7.1% AUC on LaSOT, 3.5% AO on GOT-10k 🏆 Competes with fully supervised methods without extra training Link to the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights & tutorials on AI and Machine Learning.
0:40

SAMURAI vs. MetaAI's SAM 2! Traditional visual object tracking struggles in crowded, fast-moving, or self-occluded scenes, as does SAM2. Meet SAMURAI: a completely open-source adaptation of the Segment Anything Model for zero-shot visual tracking! Here's why it's a game-changer: 🚫 No need for retraining or finetuning 🎯 Boosts success rate and precision 🤖 Motion-aware memory selection 💪 Zero-shot performance on diverse datasets But that's not all: 🔬 Refines mask selection 🔮 Predicts object motion effectively 📈 Gains: 7.1% AUC on LaSOT, 3.5% AO on GOT-10k 🏆 Competes with fully supervised methods without extra training Link to the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights & tutorials on AI and Machine Learning.

Akshay 🚀

363,328 просмотров • 1 год назад

NASDAQ JUST FORCED EVERYONE TO BUY SPACEX AT THE TOP July 3 $SPCX gets fast-tracked into the Nasdaq-100 just 15 trading days after IPO That's not a celebration that's a forced trade Every QQQ fund on earth has to buy SpaceX, which means trimming Apple, Nvidia, and Microsoft to make room for a rocket company at 120x revenue That's leg one forced buying at peak valuation Leg two runs right behind it: Late July → first 20% of insider shares unlock post Q2 earnings August-October → 7% tranches hitting every few weeks December 8 → floodgates open fully Forced index buying in July, insiders unloading into that exact rally from August onward opposite directions, same window Nasdaq-100 roadmap: 30,438 → blow-off top 22,780 → first leg down 16,324 → acceleration ~13,000 → 57% round trip to where this rally began This isn't a forecast it's a calendar with four dates already written on it Turn on notifications I'll update every stage as it plays out
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NASDAQ JUST FORCED EVERYONE TO BUY SPACEX AT THE TOP July 3 $SPCX gets fast-tracked into the Nasdaq-100 just 15 trading days after IPO That's not a celebration that's a forced trade Every QQQ fund on earth has to buy SpaceX, which means trimming Apple, Nvidia, and Microsoft to make room for a rocket company at 120x revenue That's leg one forced buying at peak valuation Leg two runs right behind it: Late July → first 20% of insider shares unlock post Q2 earnings August-October → 7% tranches hitting every few weeks December 8 → floodgates open fully Forced index buying in July, insiders unloading into that exact rally from August onward opposite directions, same window Nasdaq-100 roadmap: 30,438 → blow-off top 22,780 → first leg down 16,324 → acceleration ~13,000 → 57% round trip to where this rally began This isn't a forecast it's a calendar with four dates already written on it Turn on notifications I'll update every stage as it plays out

ardizor 🧙‍♂️

66,242 просмотров • 28 дней назад

fine, i'll build it myself, open source ofc Launching Three-Maps, a rapid blockout editor for building game maps for threejs games: Create a floor plan in 2D, automatically generate 3D levels from it, edit them, export to .glb and use in your games (see end of video) Features: - Floorplan 2D: A 2D canvas to map out the floor - Edit Mode for Objects: Edit Vertices/Edges/Faces, extrude, bevel, fillet and chamfer - Brush Mode: Rapidly build map elements with a RealtimeCSG like experience. Cubes, Stairs, Doors, Arch, Cylinder, Custom polygons. Yes, you can even curve the stairs - Modifiers: Yes, you read that right, slap that array modifier on your pillar and call it a day - Terrain Generator: Perlin, Voronoi, you name it. Oh yes, you can rasterize it and edit every single vertex in edit mode. Keyboard shortcuts are mostly same as blender to activate that muscle memory (G/R/S, axis lock XYZ) Soon: - AI integration. Boot that MCP and directly connect your fav AI agent to build the floorplan, generate 3D maps and more (you will love how this movie ends) It's a little rough and in early, very early alpha so come and join as a contributor instead of calling it slop It's all vibe coded btw, i have no idea what the code does I need this to build my game, as i'm a total blender noob and threejs is great, so why not? Outshipping every CAD and 3D startup just because i want to build a game, that's how you accelerate
1:54

fine, i'll build it myself, open source ofc Launching Three-Maps, a rapid blockout editor for building game maps for threejs games: Create a floor plan in 2D, automatically generate 3D levels from it, edit them, export to .glb and use in your games (see end of video) Features: - Floorplan 2D: A 2D canvas to map out the floor - Edit Mode for Objects: Edit Vertices/Edges/Faces, extrude, bevel, fillet and chamfer - Brush Mode: Rapidly build map elements with a RealtimeCSG like experience. Cubes, Stairs, Doors, Arch, Cylinder, Custom polygons. Yes, you can even curve the stairs - Modifiers: Yes, you read that right, slap that array modifier on your pillar and call it a day - Terrain Generator: Perlin, Voronoi, you name it. Oh yes, you can rasterize it and edit every single vertex in edit mode. Keyboard shortcuts are mostly same as blender to activate that muscle memory (G/R/S, axis lock XYZ) Soon: - AI integration. Boot that MCP and directly connect your fav AI agent to build the floorplan, generate 3D maps and more (you will love how this movie ends) It's a little rough and in early, very early alpha so come and join as a contributor instead of calling it slop It's all vibe coded btw, i have no idea what the code does I need this to build my game, as i'm a total blender noob and threejs is great, so why not? Outshipping every CAD and 3D startup just because i want to build a game, that's how you accelerate

robot 2.0

106,304 просмотров • 5 месяцев назад

Dario Amodei was asked whether open source will eventually gut Anthropic's business. He didn't defend the moat. He didn't argue closed beats open. He said the whole question is a red herring. That is the reframe. And it flips how the industry keeps scoring this race. The conventional narrative is inherited from the last era of tech: open source wins because anyone can read the code, anyone improves it, contributions stack, and eventually the free thing catches the paid thing. Investors have a full lexicon for it. Commoditization. Which layer captures the value. Everyone repeats it. Amodei says the analogy breaks at the root. It's called open weights, not open source, for a reason: you can't see inside the model. So the thing that actually made open source powerful elsewhere, many people reading and additively improving shared code, never transfers. You just get a large file of numbers. Now here's where it gets interesting. The second engine isn't ideology. It's infrastructure. Free isn't free. Someone still has to host it. These are big models, and they're hard to run inference on. Someone has to make that fast. And the capabilities people assume only open weights unlock fine tuning, steering, inspecting activations labs are increasingly serving on their own clouds anyway. When DeepSeek shipped, he says he never asked whether it was open. He asked one thing: is it a good model, and is it better than us. That's the only axis he competes on. He even inverts the usual edge. Coming from outside that investor lexicon, he thinks knowing none of it lets him predict this better than the people fluent in it. He is not defending closed models. He is saying the scoreboard everyone is watching measures the wrong thing. The uncomfortable question if the free model still needs someone to run it, was the moat ever the weights, or always the machine underneath ?
4:01

Dario Amodei was asked whether open source will eventually gut Anthropic's business. He didn't defend the moat. He didn't argue closed beats open. He said the whole question is a red herring. That is the reframe. And it flips how the industry keeps scoring this race. The conventional narrative is inherited from the last era of tech: open source wins because anyone can read the code, anyone improves it, contributions stack, and eventually the free thing catches the paid thing. Investors have a full lexicon for it. Commoditization. Which layer captures the value. Everyone repeats it. Amodei says the analogy breaks at the root. It's called open weights, not open source, for a reason: you can't see inside the model. So the thing that actually made open source powerful elsewhere, many people reading and additively improving shared code, never transfers. You just get a large file of numbers. Now here's where it gets interesting. The second engine isn't ideology. It's infrastructure. Free isn't free. Someone still has to host it. These are big models, and they're hard to run inference on. Someone has to make that fast. And the capabilities people assume only open weights unlock fine tuning, steering, inspecting activations labs are increasingly serving on their own clouds anyway. When DeepSeek shipped, he says he never asked whether it was open. He asked one thing: is it a good model, and is it better than us. That's the only axis he competes on. He even inverts the usual edge. Coming from outside that investor lexicon, he thinks knowing none of it lets him predict this better than the people fluent in it. He is not defending closed models. He is saying the scoreboard everyone is watching measures the wrong thing. The uncomfortable question if the free model still needs someone to run it, was the moat ever the weights, or always the machine underneath ?

Vikram M

58,688 просмотров • 8 дней назад

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.
0:23

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.

Avi Chawla

456,500 просмотров • 1 месяц назад

🇰🇵 Everyone's speaking about Iran while North Korea becomes a bigger and bigger nuclear threat! North Korea’s Hwasong-17 is a true monster ICBM: 24-26m tall, road-mobile on an 11-axle launcher, with a potential range of 15,000+ km. Before you ask, yes, that's enough to hit anywhere in the continental U.S. Its 2022 test hit 6,248 km altitude (lofted trajectory) and flew for ~67 minutes. That size gives it serious payload capacity, raising fears it could eventually carry MIRVs (multiple warheads). This changes the game: one missile, multiple cities at risk. Western defense planners have every reason to lose sleep. The “missile that changed everything” is no exaggeration. Source: CSIS Missile Threat, 38 North, Japanese MoD, DefenceDec YT
0:57

🇰🇵 Everyone's speaking about Iran while North Korea becomes a bigger and bigger nuclear threat! North Korea’s Hwasong-17 is a true monster ICBM: 24-26m tall, road-mobile on an 11-axle launcher, with a potential range of 15,000+ km. Before you ask, yes, that's enough to hit anywhere in the continental U.S. Its 2022 test hit 6,248 km altitude (lofted trajectory) and flew for ~67 minutes. That size gives it serious payload capacity, raising fears it could eventually carry MIRVs (multiple warheads). This changes the game: one missile, multiple cities at risk. Western defense planners have every reason to lose sleep. The “missile that changed everything” is no exaggeration. Source: CSIS Missile Threat, 38 North, Japanese MoD, DefenceDec YT

Mario Nawfal

113,594 просмотров • 3 месяцев назад

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.
25:22

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.

Himanshu Kumar

13,573 просмотров • 3 месяцев назад

Pedestrians AND Traffic are alive now everyone!! Been heads down for 2 days on this one to build a hyper realistic flow, it was a massive amount of work, but part of the map now has people walking the streets and cars actually driving through traffic. Day 23 of building hyper realistic community own open source, open world game with a loop of AI agents. Today's progress: - Pedestrians are in. NPCs walk around the streets on their own. - Traffic works. cars drive the roads and follow the flow. got both running together across a whole section of the map. This was one of the hardest parts so far. a city only feels alive when the crowds and the traffic are all running at once, and that's a lot of systems talking to each other. but real talk, a lot of this i had to set up by hand right now, and the bigger the map gets the worse that's going to be. There has to be a better way. next up is scaling it from one section to the entire city. quick question for the unreal engine people: whats your best approach for traffic and crowd AI at full city scale? I got a section fully alive, now i want the whole map moving. if you've built this before i want to learn how you did it.
0:50

Pedestrians AND Traffic are alive now everyone!! Been heads down for 2 days on this one to build a hyper realistic flow, it was a massive amount of work, but part of the map now has people walking the streets and cars actually driving through traffic. Day 23 of building hyper realistic community own open source, open world game with a loop of AI agents. Today's progress: - Pedestrians are in. NPCs walk around the streets on their own. - Traffic works. cars drive the roads and follow the flow. got both running together across a whole section of the map. This was one of the hardest parts so far. a city only feels alive when the crowds and the traffic are all running at once, and that's a lot of systems talking to each other. but real talk, a lot of this i had to set up by hand right now, and the bigger the map gets the worse that's going to be. There has to be a better way. next up is scaling it from one section to the entire city. quick question for the unreal engine people: whats your best approach for traffic and crowd AI at full city scale? I got a section fully alive, now i want the whole map moving. if you've built this before i want to learn how you did it.

Ziwen

90,846 просмотров • 20 дней назад