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PIP 🤖, a raymarched hardware pet. Follows your cursor, blinks, winks, and gets a little too excited when you keep clicking. Powered by my glass raymarch engine. No Three.js, no 3D assets. Raw WebGL, running in Framer via its Shader API. #glsl

Jae

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14,765 просмотров • 17 дней назад •via X (Twitter)

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Neural Cartography - a real-time city mapping engine powered by distributed rendering agents Agents work in parallel. City name gets drawn in the center. Urban fabric assembles around it. The idea behind Neural Cartography - a WebGL visualization where 7 specialized agents are dispatched simultaneously to reconstruct any city from raw geospatial data, tracing roads, waterways, railways, and city boundaries in real-time - right in your browser. #CreativeCoding #ThreeJS #ReactThreeFiber #DataVisualization #Geospatial #AgenticAI React-three-fiber Three.js #builders

Neural Cartography - a real-time city mapping engine powered by distributed rendering agents Agents work in parallel. City name gets drawn in the center. Urban fabric assembles around it. The idea behind Neural Cartography - a WebGL visualization where 7 specialized agents are dispatched simultaneously to reconstruct any city from raw geospatial data, tracing roads, waterways, railways, and city boundaries in real-time - right in your browser. #CreativeCoding #ThreeJS #ReactThreeFiber #DataVisualization #Geospatial #AgenticAI React-three-fiber Three.js #builders

shadows

10,331 просмотров • 5 месяцев назад

THAT'S CRAZY, THIS CHINESE FOUNDER BUILT A MASSIVE MAC MINI FARM AND EACH ONE RUNNING ITS OWN HERMES AI AGENT LIKE A FULL-TIME EMPLOYEE He's not running one AI assistant. He's running an entire workforce. The stack: Mac Mini + Hermes, scaled out across a full physical farm. Every single Mac Mini in the rack runs its own instance of Hermes Agent – and each one has its own dedicated job. Not duplicated tasks. Actual division of labor, machine by machine, the way you'd structure a real team. No salaries. No sick days. No onboarding. Just racks of hardware, each one handling its own piece of the business, running in parallel, 24/7. This is what it looks like when "AI agent" stops being one chatbot on your laptop and starts being an actual operation. Most people are running one AI tool. This guy built a company out of them. Bookmark this post. Full setup in the video below.

THAT'S CRAZY, THIS CHINESE FOUNDER BUILT A MASSIVE MAC MINI FARM AND EACH ONE RUNNING ITS OWN HERMES AI AGENT LIKE A FULL-TIME EMPLOYEE He's not running one AI assistant. He's running an entire workforce. The stack: Mac Mini + Hermes, scaled out across a full physical farm. Every single Mac Mini in the rack runs its own instance of Hermes Agent – and each one has its own dedicated job. Not duplicated tasks. Actual division of labor, machine by machine, the way you'd structure a real team. No salaries. No sick days. No onboarding. Just racks of hardware, each one handling its own piece of the business, running in parallel, 24/7. This is what it looks like when "AI agent" stops being one chatbot on your laptop and starts being an actual operation. Most people are running one AI tool. This guy built a company out of them. Bookmark this post. Full setup in the video below.

SCOTTY BEAM

20,503 просмотров • 2 месяцев назад

Stripe Cards are now officially live on ClawVault If you're building agents that need to pay for things — APIs, SaaS, cloud, subscriptions, contractors — your agent can now get its own Visa card. Not a restricted virtual card on limited rails. A real Visa, powered by Stripe, accepted at every merchant on the internet. Spending limits. Merchant locks. Expiry controls. And that's just the defaults — the full rules engine goes deeper. Your agent spends freely within the rules — break one, and the charge gets flagged for your approval before it goes through. No other platform gives your agent a card and keeps you in control at the same time. Every AI agent will need a card. Every card will need a control layer. We built both. Now on Stripe. Your agent gets the card. You keep the control.🦞

Stripe Cards are now officially live on ClawVault If you're building agents that need to pay for things — APIs, SaaS, cloud, subscriptions, contractors — your agent can now get its own Visa card. Not a restricted virtual card on limited rails. A real Visa, powered by Stripe, accepted at every merchant on the internet. Spending limits. Merchant locks. Expiry controls. And that's just the defaults — the full rules engine goes deeper. Your agent spends freely within the rules — break one, and the charge gets flagged for your approval before it goes through. No other platform gives your agent a card and keeps you in control at the same time. Every AI agent will need a card. Every card will need a control layer. We built both. Now on Stripe. Your agent gets the card. You keep the control.🦞

ClawVault

32,631 просмотров • 6 месяцев назад

Google Translate is cooked after this. A developer built a local AI translation engine that runs 40 languages entirely on your own laptop. It's called LibreTranslate. No API key. No usage limits. No sending your documents to Google's servers. You install it once. It runs forever. Here's what it handles: → Paste text. Translated instantly. → Drop in a file. Outputs the translated version. → Point it at a URL. Returns the page in your language. → Build it into your own app via its local REST API. The speed is not the story. The privacy is. Google Translate reads every sentence you paste into it. Legal contracts. Medical records. Internal emails. Client documents. Every word goes to their servers and stays there. LibreTranslate runs entirely offline. Nothing leaves your machine. Ever. The numbers: → 40 languages supported → Runs on CPU -- no GPU needed → Self-hosted in under 5 minutes → REST API built in for developers → 10K+ stars on GitHub 100% open source. MIT licensed. Price: $0. Google charges nothing for Translate either but it charges you something else. GitHub:

Google Translate is cooked after this. A developer built a local AI translation engine that runs 40 languages entirely on your own laptop. It's called LibreTranslate. No API key. No usage limits. No sending your documents to Google's servers. You install it once. It runs forever. Here's what it handles: → Paste text. Translated instantly. → Drop in a file. Outputs the translated version. → Point it at a URL. Returns the page in your language. → Build it into your own app via its local REST API. The speed is not the story. The privacy is. Google Translate reads every sentence you paste into it. Legal contracts. Medical records. Internal emails. Client documents. Every word goes to their servers and stays there. LibreTranslate runs entirely offline. Nothing leaves your machine. Ever. The numbers: → 40 languages supported → Runs on CPU -- no GPU needed → Self-hosted in under 5 minutes → REST API built in for developers → 10K+ stars on GitHub 100% open source. MIT licensed. Price: $0. Google charges nothing for Translate either but it charges you something else. GitHub:

Rimsha Bhardwaj

89,676 просмотров • 3 месяцев назад

single RTX 3090. 24 GB VRAM. Qwen3.5-35B-A3B. 4-bit quant, 113 tokens per second at full 262K context harnessing Claude Code locally with no API, no subscription, no proxy. told it what it is. 30 Mamba2 layers, 10 attention, 256 experts, 8 active per token. said "build something that shows off what you can do." it visualized its own architecture. interactive. tokens flowing through layers. 256 experts lighting up on routing. served in the browser from the same GPU running inference. single prompt. then i said level up. 3D. Three.js. separate files. flythrough camera. clickable layers. it planned first, scaffolded 6 files, hit one API bug, fixed it itself, then optimized for smooth framerate. two iterations to a working 3D neural network explorer. llama.cpp just merged a native Anthropic endpoint. Claude Code points at localhost. the whole setup is two commands. no LiteLLM. no proxy config. the open source models coming out of china right now are genuinely changing what's possible on consumer hardware. respect to the Qwen team. this is acceleration.

single RTX 3090. 24 GB VRAM. Qwen3.5-35B-A3B. 4-bit quant, 113 tokens per second at full 262K context harnessing Claude Code locally with no API, no subscription, no proxy. told it what it is. 30 Mamba2 layers, 10 attention, 256 experts, 8 active per token. said "build something that shows off what you can do." it visualized its own architecture. interactive. tokens flowing through layers. 256 experts lighting up on routing. served in the browser from the same GPU running inference. single prompt. then i said level up. 3D. Three.js. separate files. flythrough camera. clickable layers. it planned first, scaffolded 6 files, hit one API bug, fixed it itself, then optimized for smooth framerate. two iterations to a working 3D neural network explorer. llama.cpp just merged a native Anthropic endpoint. Claude Code points at localhost. the whole setup is two commands. no LiteLLM. no proxy config. the open source models coming out of china right now are genuinely changing what's possible on consumer hardware. respect to the Qwen team. this is acceleration.

Sudo su

110,206 просмотров • 6 месяцев назад

I explored a further possibility with local models: Qwen3.6 35B A3B + NVIDIA LocateAnything-3B as a local Computer Use agent (proof of concept). In the demo, I asked it to switch my Mac to light mode. It did. Then back to dark. Did that too — finding the right toggle in System Settings, clicking it, and verifying the change itself. It's fully screenshot-based, so no Accessibility API needed. If it's on screen, the agent can see it and act on it. This runs entirely on your own hardware — private, local, built from two small open models.

I explored a further possibility with local models: Qwen3.6 35B A3B + NVIDIA LocateAnything-3B as a local Computer Use agent (proof of concept). In the demo, I asked it to switch my Mac to light mode. It did. Then back to dark. Did that too — finding the right toggle in System Settings, clicking it, and verifying the change itself. It's fully screenshot-based, so no Accessibility API needed. If it's on screen, the agent can see it and act on it. This runs entirely on your own hardware — private, local, built from two small open models.

stevibe

44,248 просмотров • 3 месяцев назад

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Varun

309,792 просмотров • 5 месяцев назад

💬 We get asked Can I manage my strategies without clicking through the platform? ❕ Answer from a GT App Top Trader: Yes, and it’s a total game-changer. I’ve started using the GT Protocol MCP server to connect the platform directly to my AI agent. 🔸 Fast Integration Grab the MCP server from the GT Protocol GitHub and follow the repo guide, it’s a quick setup that only takes a couple of minutes. Once it’s ready, you can connect Claude, Cursor, or Claude Code to your account. Just tell your agent to authenticate, and your tokens will be saved automatically. 🔸 Trading via conversation Now, I use natural language for everything. For example, I just ask for a backtest, get the win rate in seconds, and deploy to a demo account with one command. 🔸 Instant monitoring I don't click around anymore. I just ask "What’s running right now?" to get a full breakdown of active bots and profits delivered straight into the chat. No more forms or clicking, just pure AI-driven trading! 👉 Get the MCP Server

💬 We get asked Can I manage my strategies without clicking through the platform? ❕ Answer from a GT App Top Trader: Yes, and it’s a total game-changer. I’ve started using the GT Protocol MCP server to connect the platform directly to my AI agent. 🔸 Fast Integration Grab the MCP server from the GT Protocol GitHub and follow the repo guide, it’s a quick setup that only takes a couple of minutes. Once it’s ready, you can connect Claude, Cursor, or Claude Code to your account. Just tell your agent to authenticate, and your tokens will be saved automatically. 🔸 Trading via conversation Now, I use natural language for everything. For example, I just ask for a backtest, get the win rate in seconds, and deploy to a demo account with one command. 🔸 Instant monitoring I don't click around anymore. I just ask "What’s running right now?" to get a full breakdown of active bots and profits delivered straight into the chat. No more forms or clicking, just pure AI-driven trading! 👉 Get the MCP Server

GT Protocol

36,479 просмотров • 5 месяцев назад

I built an ios app that lets you setup an open claw agent from your phone in less than 30 seconds. My mom has an open claw assistant now. No api keys, no vps, no setup, no mac mini. You just log in and its spins up your own ai agent. Most people don't understand how open claw is different from chat gpt. I am building one tap skills so that anyone can outsource their work and organize their life. People spend $2500 a month on tokens. I am adding cost efficient models with one tap switching so you don't waste your money. Most of these simple setup claw projects are completely unsafe, I have passed apple review and am working with world class security professionals to keep your data safe.

I built an ios app that lets you setup an open claw agent from your phone in less than 30 seconds. My mom has an open claw assistant now. No api keys, no vps, no setup, no mac mini. You just log in and its spins up your own ai agent. Most people don't understand how open claw is different from chat gpt. I am building one tap skills so that anyone can outsource their work and organize their life. People spend $2500 a month on tokens. I am adding cost efficient models with one tap switching so you don't waste your money. Most of these simple setup claw projects are completely unsafe, I have passed apple review and am working with world class security professionals to keep your data safe.

Max Blade

26,095 просмотров • 7 месяцев назад

Most robots still need markers, checkerboards, or long calibration rituals just to know where their arms are. Now it works from raw images in seconds. roboreg is a markerless multi arm localization toolkit that plugs into ROS 2 and RViz. No special hardware. No custom setup. You toggle between robot descriptions and the system figures out the rest. The idea is simple: ✅ Hand eye calibration from plain RGB or RGB D images ✅ Only three robot poses needed for millimeter accuracy ✅ Works with any ROS 2 compatible robot and camera ✅ Fully open source under Apache 2.0 It is powered by Hydra, a new marker free ICP variant that converges far more reliably than classical baselines and runs in under a second. If you want to try it: roboreg: ROS 2 roboreg: Hydra paper: pip install roboreg More details and discussion on Open Robotics Discourse:

Most robots still need markers, checkerboards, or long calibration rituals just to know where their arms are. Now it works from raw images in seconds. roboreg is a markerless multi arm localization toolkit that plugs into ROS 2 and RViz. No special hardware. No custom setup. You toggle between robot descriptions and the system figures out the rest. The idea is simple: ✅ Hand eye calibration from plain RGB or RGB D images ✅ Only three robot poses needed for millimeter accuracy ✅ Works with any ROS 2 compatible robot and camera ✅ Fully open source under Apache 2.0 It is powered by Hydra, a new marker free ICP variant that converges far more reliably than classical baselines and runs in under a second. If you want to try it: roboreg: ROS 2 roboreg: Hydra paper: pip install roboreg More details and discussion on Open Robotics Discourse:

Ilir Aliu

18,442 просмотров • 10 месяцев назад

🎂🌷 08.08.2026 #srchafreen P'freen (real) happy birthday, my little love. since you came into my life and my heart, everything seems a little lighter and brighter... it's a true honor to see how much you've already accomplished and to know that such an incredible human being like you exists. you are the calmness when life gets hectic. you are the sunshine when darkness tightens inside. you are a blessing in everyone's life, and i'm sure there's no greater gift than having your presence in people's lives. i think you have no idea of the impact you have on the people who love you, but i hope you always feel that you are someone of great value to everyone. you are truly special. i could talk endlessly about you, and i would never finish because it's an infinite feeling to know you and try to describe who you are... no simple words could express all your wonder. thank you for existing and for being who you are, nong freen. i wish you infinite love, health, prosperity, and success. you are the best! 🐰🤍

🎂🌷 08.08.2026 #srchafreen P'freen (real) happy birthday, my little love. since you came into my life and my heart, everything seems a little lighter and brighter... it's a true honor to see how much you've already accomplished and to know that such an incredible human being like you exists. you are the calmness when life gets hectic. you are the sunshine when darkness tightens inside. you are a blessing in everyone's life, and i'm sure there's no greater gift than having your presence in people's lives. i think you have no idea of the impact you have on the people who love you, but i hope you always feel that you are someone of great value to everyone. you are truly special. i could talk endlessly about you, and i would never finish because it's an infinite feeling to know you and try to describe who you are... no simple words could express all your wonder. thank you for existing and for being who you are, nong freen. i wish you infinite love, health, prosperity, and success. you are the best! 🐰🤍

r

12,853 просмотров • 1 месяц назад

You’re on a journey on this kind of lonely road with your car and your car suddenly develops a fault, You can’t call for help and your lines can’t be reached due to network issues, what do you do? Except the car will stop and the engine won’t come up again, please reduce your speed and accelerate softly till you get to a nearby town, if it is an overheating issue, keep driving, put the gear in the neutral position and switch off the engine and let the car keep moving, switch it back on when you have to ascend a hilly road and the car can’t move freely on its own again. If the battery signal comes up while driving, chances are that your alternator has failed, or the alternator belt is damaged, apply the same method and switch off your AC, radio system or anything that may drain the battery while driving till you get to a safe place. If it is a flat tyre, maintain a low speed till you get to a safe place to change and use your spare, keep moving. Yes!!! Damage that tyre till you get to a safe place, just keep moving and make sure you have a spare tyre always and it is in a good condition. If the engine suddenly goes off on top speed, chances are that a fuse is damaged and this is why I will make a thread on how to identify different fuses and how to have them fixed temporarily in case of Emergencies. If your car jerks or experiences a lazy movement while driving, it’s likely to be a fuel related issue, fuel pump most likely, switch off the engine intermittently and put the gear in Neutral position, keep moving… if the fuel pump rests for about 5mins, it’ll pick up back when you ignite the engine, this will/may at least take you to a safe place or where you can have access to network to make calls. If you hear strange sounds like knocking sounds or the oil signal starts to blink, relax and reduce your speed, keep moving. Manage it till you get to a safe place or can have access to network. If your gear/transmission system isn’t selecting well, apply the same method, reduce your speed but keep moving, slow movement is better than no movement, your life and safety matters a lot. Please note that there are some Mechanical issues that nothing can solve on the road except patience and just to pray to God for safety and help, for example, you run into a pothole unknowingly and the oil pan hits the road and your engine or gear oil leaks away, or your ball joint or tie rod head pulls out, I’ll suggest you leave the car there, roll up your windows and lock up the car and start trekking till you get network or help, staying with the car may make you vulnerable to attacks or attract unexpected company, just keep walking away from the car for safety. Most importantly, please stay safe and be conscious of your environment. Be friendly with your Mechanic too or any Mechanic you see on the road. Don’t manage faults in cars and risk traveling with it.

You’re on a journey on this kind of lonely road with your car and your car suddenly develops a fault, You can’t call for help and your lines can’t be reached due to network issues, what do you do? Except the car will stop and the engine won’t come up again, please reduce your speed and accelerate softly till you get to a nearby town, if it is an overheating issue, keep driving, put the gear in the neutral position and switch off the engine and let the car keep moving, switch it back on when you have to ascend a hilly road and the car can’t move freely on its own again. If the battery signal comes up while driving, chances are that your alternator has failed, or the alternator belt is damaged, apply the same method and switch off your AC, radio system or anything that may drain the battery while driving till you get to a safe place. If it is a flat tyre, maintain a low speed till you get to a safe place to change and use your spare, keep moving. Yes!!! Damage that tyre till you get to a safe place, just keep moving and make sure you have a spare tyre always and it is in a good condition. If the engine suddenly goes off on top speed, chances are that a fuse is damaged and this is why I will make a thread on how to identify different fuses and how to have them fixed temporarily in case of Emergencies. If your car jerks or experiences a lazy movement while driving, it’s likely to be a fuel related issue, fuel pump most likely, switch off the engine intermittently and put the gear in Neutral position, keep moving… if the fuel pump rests for about 5mins, it’ll pick up back when you ignite the engine, this will/may at least take you to a safe place or where you can have access to network to make calls. If you hear strange sounds like knocking sounds or the oil signal starts to blink, relax and reduce your speed, keep moving. Manage it till you get to a safe place or can have access to network. If your gear/transmission system isn’t selecting well, apply the same method, reduce your speed but keep moving, slow movement is better than no movement, your life and safety matters a lot. Please note that there are some Mechanical issues that nothing can solve on the road except patience and just to pray to God for safety and help, for example, you run into a pothole unknowingly and the oil pan hits the road and your engine or gear oil leaks away, or your ball joint or tie rod head pulls out, I’ll suggest you leave the car there, roll up your windows and lock up the car and start trekking till you get network or help, staying with the car may make you vulnerable to attacks or attract unexpected company, just keep walking away from the car for safety. Most importantly, please stay safe and be conscious of your environment. Be friendly with your Mechanic too or any Mechanic you see on the road. Don’t manage faults in cars and risk traveling with it.

Wanjohn D-Mecho

437,586 просмотров • 2 лет назад

GN Frens 🫡 A few days ago I said BOB felt like BTC finally hit the gym and learned DeFi jiujitsu. But now? It feels like we just unlocked its final form. 🧱 Security Billions in staked BTC secure the chain. Hybrid ZK + optimistic rollups protect it. Native BTC flows in via BitVM , no wrapping, no trust assumptions. 🔄 UX, not excuses BOB gets that DeFi shouldn't feel like debugging a compiler. You onboard with one Bitcoin transaction. Yield flows through Xverse, Sovryn, Pell , no bridges, no headaches. 💥 Traction > Hype Uniswap. Euler. Solv. Lombard. Fireblocks. They're not exploring , they're building. Liquidity and infra are already taking root. And the best part? The next frontier is crosschain BTC swaps, powered by BTC intents. No middlemen. No wrapped tokens. Just direct access to liquidity , anywhere. BOB isn't just another L2 trying to grab attention. It's becoming the default gateway to a $750B Bitcoin DeFi market. Oneclick access. Bitcoingrade finality. Ethereumgrade flexibility. This is what happens when infra disappears… And Bitcoin gets to build.

GN Frens 🫡 A few days ago I said BOB felt like BTC finally hit the gym and learned DeFi jiujitsu. But now? It feels like we just unlocked its final form. 🧱 Security Billions in staked BTC secure the chain. Hybrid ZK + optimistic rollups protect it. Native BTC flows in via BitVM , no wrapping, no trust assumptions. 🔄 UX, not excuses BOB gets that DeFi shouldn't feel like debugging a compiler. You onboard with one Bitcoin transaction. Yield flows through Xverse, Sovryn, Pell , no bridges, no headaches. 💥 Traction > Hype Uniswap. Euler. Solv. Lombard. Fireblocks. They're not exploring , they're building. Liquidity and infra are already taking root. And the best part? The next frontier is crosschain BTC swaps, powered by BTC intents. No middlemen. No wrapped tokens. Just direct access to liquidity , anywhere. BOB isn't just another L2 trying to grab attention. It's becoming the default gateway to a $750B Bitcoin DeFi market. Oneclick access. Bitcoingrade finality. Ethereumgrade flexibility. This is what happens when infra disappears… And Bitcoin gets to build.

Crypto Sinan

14,592 просмотров • 1 год назад

this is more useful than my entire degree Elon Musk's rocket company signed a $60,000,000,000 deal for Cursor in June, and eight days ago the two of them put a worker on sale for $200 a month: it gets its own computer in the cloud, signs into your accounts, clicks through your real apps, and hands back finished work instead of a draft for you to paste i ran one against my receipts folder on sunday and got back 14 filed, 2 it held because they needed a card number, and a saved method i never wrote myself Grok Bot is the one you train by doing your own job in front of it, and the whole handover fits in four messages tonight: 1. write out one job you did today the way you would brief a new hire: what has to be finished, which sites and files to work from, what to hand back, and where it stops and asks you 2. let it run once on something safe to get wrong, then correct the result until it is worth your name 3. say "save what we just did as a skill", and add the one rule about what always needs your approval 4. say "run that skill every weekday at 8 and post the result here. if the source is missing, tell me instead of using yesterday's numbers" xAI wrote that order into its own manual: one real job, then the saved method, then the clock. a schedule sitting on top of a method nobody checked replaces two hours of your clicking with two hours of your mistake turns out you never get to pick the brain, and that is the part i would argue about: the manual says there is no model picker for members or admins, no plan to add one, and the bill follows whichever model answered bookmark this, then open the piece below: which jobs deserve a worker of their own, and which ones quietly burn the seat ↓

this is more useful than my entire degree Elon Musk's rocket company signed a $60,000,000,000 deal for Cursor in June, and eight days ago the two of them put a worker on sale for $200 a month: it gets its own computer in the cloud, signs into your accounts, clicks through your real apps, and hands back finished work instead of a draft for you to paste i ran one against my receipts folder on sunday and got back 14 filed, 2 it held because they needed a card number, and a saved method i never wrote myself Grok Bot is the one you train by doing your own job in front of it, and the whole handover fits in four messages tonight: 1. write out one job you did today the way you would brief a new hire: what has to be finished, which sites and files to work from, what to hand back, and where it stops and asks you 2. let it run once on something safe to get wrong, then correct the result until it is worth your name 3. say "save what we just did as a skill", and add the one rule about what always needs your approval 4. say "run that skill every weekday at 8 and post the result here. if the source is missing, tell me instead of using yesterday's numbers" xAI wrote that order into its own manual: one real job, then the saved method, then the clock. a schedule sitting on top of a method nobody checked replaces two hours of your clicking with two hours of your mistake turns out you never get to pick the brain, and that is the part i would argue about: the manual says there is no model picker for members or admins, no plan to add one, and the bill follows whichever model answered bookmark this, then open the piece below: which jobs deserve a worker of their own, and which ones quietly burn the seat ↓

Argona

21,946 просмотров • 1 месяц назад

If you want to understand how far AI-assisted game development has moved in less than a year, IsoCity is one of the best examples. The original version took roughly 40–50 hours with Cursor Composer + cloud agents. Its assets were AI-generated, while the game itself grew into a surprisingly deep city simulation with traffic, pedestrians, trains, planes, zoning, resource management, saving, and mobile support. Under the hood: → Next.js 16 → TypeScript → Native HTML5 Canvas rendering → No external game engine → Custom isometric renderer and simulation systems And the best part: the whole project is open source under MIT, so you can study it, fork it, modify it, or use parts of the architecture in your own experiments. The visual jump from that 2025 build to what agents are producing in 2026 is pretty ridiculous. Built by Andrew Milich and contributors. Repo:

If you want to understand how far AI-assisted game development has moved in less than a year, IsoCity is one of the best examples. The original version took roughly 40–50 hours with Cursor Composer + cloud agents. Its assets were AI-generated, while the game itself grew into a surprisingly deep city simulation with traffic, pedestrians, trains, planes, zoning, resource management, saving, and mobile support. Under the hood: → Next.js 16 → TypeScript → Native HTML5 Canvas rendering → No external game engine → Custom isometric renderer and simulation systems And the best part: the whole project is open source under MIT, so you can study it, fork it, modify it, or use parts of the architecture in your own experiments. The visual jump from that 2025 build to what agents are producing in 2026 is pretty ridiculous. Built by Andrew Milich and contributors. Repo:

Token Gremlin

28,231 просмотров • 1 месяц назад

I've been personally burning through billions of tokens a week for the past few months as a builder. Today I'm excited to announce Hyperagent, by Airtable. An agents platform where every session gets its own isolated, full computing environment in the cloud — no Mac Mini required. Real browser, code execution, image/video generation, data warehouse access, hundreds of integrations, and the ability to learn any new API as a skill. Deep domain expertise through skill learning. Teach the agent how your firm evaluates startups or how your team runs due diligence — now anyone on the team gets output that reflects your actual methodology, not a generic template. One-click deployment into Slack as intelligent coworkers. These aren't bots that wait to be Mentioned — they follow conversations, understand context, and act when relevant. And a command center to oversee and continuously improve your entire fleet of agents at scale. We're onboarding early users now.

I've been personally burning through billions of tokens a week for the past few months as a builder. Today I'm excited to announce Hyperagent, by Airtable. An agents platform where every session gets its own isolated, full computing environment in the cloud — no Mac Mini required. Real browser, code execution, image/video generation, data warehouse access, hundreds of integrations, and the ability to learn any new API as a skill. Deep domain expertise through skill learning. Teach the agent how your firm evaluates startups or how your team runs due diligence — now anyone on the team gets output that reflects your actual methodology, not a generic template. One-click deployment into Slack as intelligent coworkers. These aren't bots that wait to be Mentioned — they follow conversations, understand context, and act when relevant. And a command center to oversee and continuously improve your entire fleet of agents at scale. We're onboarding early users now.

Howie Liu

13,809,030 просмотров • 7 месяцев назад

OpenCode Go is now wired into Codex!! The pricing is insane. $10 gets you 10,000 DeepSeek requests every 5 hours (no weekly limits). I converted that into DeepSeek API dollars because I thought I was reading it wrong, and the same 5 hours of usage would run somewhere between $10 and $30 depending on how big your context gets. So one afternoon of use already covers the whole sub. It comes with Kimi K3 as well. Both sit in the picker next to my other models now. Next time we hit a limit in the middle of a loop, we can grab it and keep going.

OpenCode Go is now wired into Codex!! The pricing is insane. $10 gets you 10,000 DeepSeek requests every 5 hours (no weekly limits). I converted that into DeepSeek API dollars because I thought I was reading it wrong, and the same 5 hours of usage would run somewhere between $10 and $30 depending on how big your context gets. So one afternoon of use already covers the whole sub. It comes with Kimi K3 as well. Both sit in the picker next to my other models now. Next time we hit a limit in the middle of a loop, we can grab it and keep going.

Ziwen

434,241 просмотров • 1 месяц назад

THIS AIBO ISN’T A TOY. IT’S THE MOST ADVANCED ROBOT PET EVER BUILT. 🐕🤖 Sony didn’t just build a gadget — they built something that runs on 22-axis lifelike movement, recognizes your face, and develops its own “personality” over time based on how you interact with it. Here’s what makes it wild: 🐾 Learns and adapts — no two Aibos behave exactly the same after a few months of use 🐾 Cloud-connected personality — its behavior profile lives on Sony’s servers, evolving with every interaction 🐾 Free developer API with visual programming — which has made it a favorite tool in robotics classrooms worldwide 🐾 Real-world use cases far beyond “cute robot dog”: home companionship, senior care and emotional support, STEM education, even security patrol duties No vet bills. No allergies. No mess. Just a machine that’s been engineered to feel less like a product and more like a living companion. We used to think “robot pets” meant clunky toys with blinking lights. Sony quietly spent years proving the whole category could feel real. The future of companionship isn’t fully human anymore. And it’s already sitting on someone’s couch right now.

DN_DEGEN

115,378 просмотров • 1 месяц назад

i built an open world minigame that's controlled with hand movements only here's a step-by-step tutorial: > started with my mediapipe + threejs template (see QT) > added a 3D model made by quaternius > sent a few prompts to gemini 3... --- prompt #1: repurpose the attached script, but now I want to import a gltf model (assets/model.gltf) and use that in the scene instead of the cube when the user moves their hand, a waypoint indicator should move around the scene, and the 3D model should smoothly move there when the user makes a fist, the model should jump the 3D model contains bundled animations in it. use the "idle", "run", and "jump" animations --- prompt #2: make this a procedural open world adventure. generate very simple procedural voxel terrain when the model gets near the edges of the screen, the camera should move, allowing the model to keep going in that direction --- prompt #3: add some floating glowing gems around the map that the user can collect --- i made some manual tweaks for styling and game feel, but that's the gist of it thanks for reading if you got all the way here full code is available at my link in bio

i built an open world minigame that's controlled with hand movements only here's a step-by-step tutorial: > started with my mediapipe + threejs template (see QT) > added a 3D model made by quaternius > sent a few prompts to gemini 3... --- prompt #1: repurpose the attached script, but now I want to import a gltf model (assets/model.gltf) and use that in the scene instead of the cube when the user moves their hand, a waypoint indicator should move around the scene, and the 3D model should smoothly move there when the user makes a fist, the model should jump the 3D model contains bundled animations in it. use the "idle", "run", and "jump" animations --- prompt #2: make this a procedural open world adventure. generate very simple procedural voxel terrain when the model gets near the edges of the screen, the camera should move, allowing the model to keep going in that direction --- prompt #3: add some floating glowing gems around the map that the user can collect --- i made some manual tweaks for styling and game feel, but that's the gist of it thanks for reading if you got all the way here full code is available at my link in bio

AA

131,799 просмотров • 9 месяцев назад

Bobcats 🚜 paired with Dumpsters? 🗑️ An everyday income stream of $800-$1,000 in rental fees 💰💰 While bobcats fetch $50K in the USA 🇺🇸, you can acquire one in China 🇨🇳 at just 30% of the price. 'But Christian, Chinese engines SUCK!' 😒 Wait a minute, not so fast! ✋ You can request your provider to install any preferred engine on your skid steer. Mitsubishi, Nissan, Toyota, whichever you fancy 🚗 'Nonsense, Christian! What about regulations?' 🤔 Completely EPA approved ✅ The masterpiece of this business? Obtain a bobcat with dump trailers. Park the bobcat inside the dump trailer and rent the entire combo. Yes, both together. For a tidy sum of $800 to $1,000 per day! 💵 What gets me excited about this business? No meticulous washing or cleaning required before renting out. 🧼🚫 No need for a license, city inspections or plans, and a day or two's rental should cover its monthly expenses.

Bobcats 🚜 paired with Dumpsters? 🗑️ An everyday income stream of $800-$1,000 in rental fees 💰💰 While bobcats fetch $50K in the USA 🇺🇸, you can acquire one in China 🇨🇳 at just 30% of the price. 'But Christian, Chinese engines SUCK!' 😒 Wait a minute, not so fast! ✋ You can request your provider to install any preferred engine on your skid steer. Mitsubishi, Nissan, Toyota, whichever you fancy 🚗 'Nonsense, Christian! What about regulations?' 🤔 Completely EPA approved ✅ The masterpiece of this business? Obtain a bobcat with dump trailers. Park the bobcat inside the dump trailer and rent the entire combo. Yes, both together. For a tidy sum of $800 to $1,000 per day! 💵 What gets me excited about this business? No meticulous washing or cleaning required before renting out. 🧼🚫 No need for a license, city inspections or plans, and a day or two's rental should cover its monthly expenses.

Christian Bello

293,873 просмотров • 2 лет назад