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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... show more

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What if you could draw ANY image using real city streets? latest experiment: Upload any picture → the app detects its edges → then autonomous agent trace and fill the image using actual roads from OpenStreetMap. Agents draws the outlines and fills the interior in green. The city itself becomes your canvas. Built with React 19 + DeckGL + MapLibre + Overpass API Like/ RT to show support. #CreativeCoding #GenerativeArt #OpenStreetMap #DataViz #Maps #React #BuildingInPublic #UrbanArt

What if you could draw ANY image using real city streets? latest experiment: Upload any picture → the app detects its edges → then autonomous agent trace and fill the image using actual roads from OpenStreetMap. Agents draws the outlines and fills the interior in green. The city itself becomes your canvas. Built with React 19 + DeckGL + MapLibre + Overpass API Like/ RT to show support. #CreativeCoding #GenerativeArt #OpenStreetMap #DataViz #Maps #React #BuildingInPublic #UrbanArt

shadows

17,097 views • 4 months ago

A Closer Look at Alchemist AI v3.5🔎 In v1, one agent handled everything. You’d enter a prompt like “make a snake game” and get a single block of code—one input, one output. v2 introduced multiple agents with specialized roles: prompt refinement, frontend, backend, and review. It brought more structure, but the process was still linear. Each step produced a single output. With v3, a single agent could handle multiple tasks. It generated HTML, CSS, JavaScript, searched for assets, and more—all in one go, while maintaining full context. Now in v3.5, we combine both models. Multiple agents work in parallel, each capable of producing multiple outputs at once. The prompt compiler adapts based on what you're building. A 3D game? It prioritizes game engines, rendering, and mechanics. A website or 2D app? It shifts focus to relevant frameworks and tools. The tool handler can call several services simultaneously, feeding context-aware data into the code generator for real-time execution. From single-output generation to parallel, adaptive workflows. In the next breakdown, we’ll dive into the architecture behind our proprietary engine in v3.5.

A Closer Look at Alchemist AI v3.5🔎 In v1, one agent handled everything. You’d enter a prompt like “make a snake game” and get a single block of code—one input, one output. v2 introduced multiple agents with specialized roles: prompt refinement, frontend, backend, and review. It brought more structure, but the process was still linear. Each step produced a single output. With v3, a single agent could handle multiple tasks. It generated HTML, CSS, JavaScript, searched for assets, and more—all in one go, while maintaining full context. Now in v3.5, we combine both models. Multiple agents work in parallel, each capable of producing multiple outputs at once. The prompt compiler adapts based on what you're building. A 3D game? It prioritizes game engines, rendering, and mechanics. A website or 2D app? It shifts focus to relevant frameworks and tools. The tool handler can call several services simultaneously, feeding context-aware data into the code generator for real-time execution. From single-output generation to parallel, adaptive workflows. In the next breakdown, we’ll dive into the architecture behind our proprietary engine in v3.5.

ALCHEMIST AI 🔮

12,689 views • 1 year ago

SOMEONE FROM TOKYO IS MAPPING BIRD LANGUAGE INTO REAL DATA PATTERNS AND THE VISUALIZATION LOOKS LIKE A NEURAL NETWORK DREAMING Every bird sound - frequency, duration, amplitude and modulation - gets converted into 3D space coordinates and rendered as a cluster of colored points in real time through Deepen AI. A microphone captures the acoustic signal, FFT breaks it down into frequency components from 1 kHz to 8 kHz where most birds communicate, an ML model classifies the pattern and the mapped data hits a graph where each call type gets its own color and position in space. Birds have a vocal repertoire of 5 to 200+ unique signals depending on the species - and every signal carries different information about predators, food, territory and mates that humans simply can't hear. The same technology that decodes bird language detects anomalies in industrial machinery, cardiac rhythms and structural vibrations in buildings - he just trained it on nature first.

SOMEONE FROM TOKYO IS MAPPING BIRD LANGUAGE INTO REAL DATA PATTERNS AND THE VISUALIZATION LOOKS LIKE A NEURAL NETWORK DREAMING Every bird sound - frequency, duration, amplitude and modulation - gets converted into 3D space coordinates and rendered as a cluster of colored points in real time through Deepen AI. A microphone captures the acoustic signal, FFT breaks it down into frequency components from 1 kHz to 8 kHz where most birds communicate, an ML model classifies the pattern and the mapped data hits a graph where each call type gets its own color and position in space. Birds have a vocal repertoire of 5 to 200+ unique signals depending on the species - and every signal carries different information about predators, food, territory and mates that humans simply can't hear. The same technology that decodes bird language detects anomalies in industrial machinery, cardiac rhythms and structural vibrations in buildings - he just trained it on nature first.

Cortex

11,128 views • 3 months ago

Interfaces that are generated, not coded. Solaris is our first step toward our vision of end-to-end neural software, where user interfaces are streamed directly onto your screen by a real-time video model, without any intermediate code or HTML/CSS. Today we're releasing a technical report and opening it up for limited testing by the community. Amazing work by the team, combining the best of our research in general world models with Runway's HCI spirit.

Interfaces that are generated, not coded. Solaris is our first step toward our vision of end-to-end neural software, where user interfaces are streamed directly onto your screen by a real-time video model, without any intermediate code or HTML/CSS. Today we're releasing a technical report and opening it up for limited testing by the community. Amazing work by the team, combining the best of our research in general world models with Runway's HCI spirit.

Anastasis Germanidis

214,648 views • 13 days ago

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 views • 29 days ago

Why Hyderabad Drowns After A 20min Rain? I may not have a simple answer to this complex question but was in Raidurgam area yesterday and this what I saw. This is right next to the Raidurgam metro. It is like the IT hub of Hyderabad and look at the state of things here. Roads are being dug to lay drainage pipes. Locals told me it has been close to a year since they started digging. The debris is just lying on the road, existing drainage seems to be damaged and all the sewer is flowing on to the main road. To make things worse, many are parking right on the road making the congested area much more difficult to commute. There is no parking space at Raidurgam Metro. If someone wants to take the metro, they have to arrive on a separate vehicle to reach. Plus there are a million autos lined up on the road. Traffic police who hide behind trees or corner you in some random street won’t regulate traffic on the main roads. They won’t show a solution to park vehicles but will collect challans. Why are you collecting challans without any space being earmarked for parking? Do you expect people to jump off a parachute and get into a metro? We look at China, Japan with their advanced technology of laying roads in a day and will be wowed. Here governments talk about AI city, Future City and such money minting projects for the government and still get wowed. Why isn’t AI or advanced technology being used to repair roads, drainages or maintain infrastructure in the existing city??? Why this craze to call the existing city a dump and then pumping huge public money into a nonexistent Future City? Why is governance driven by real estate ambitions of a few politicians?

Why Hyderabad Drowns After A 20min Rain? I may not have a simple answer to this complex question but was in Raidurgam area yesterday and this what I saw. This is right next to the Raidurgam metro. It is like the IT hub of Hyderabad and look at the state of things here. Roads are being dug to lay drainage pipes. Locals told me it has been close to a year since they started digging. The debris is just lying on the road, existing drainage seems to be damaged and all the sewer is flowing on to the main road. To make things worse, many are parking right on the road making the congested area much more difficult to commute. There is no parking space at Raidurgam Metro. If someone wants to take the metro, they have to arrive on a separate vehicle to reach. Plus there are a million autos lined up on the road. Traffic police who hide behind trees or corner you in some random street won’t regulate traffic on the main roads. They won’t show a solution to park vehicles but will collect challans. Why are you collecting challans without any space being earmarked for parking? Do you expect people to jump off a parachute and get into a metro? We look at China, Japan with their advanced technology of laying roads in a day and will be wowed. Here governments talk about AI city, Future City and such money minting projects for the government and still get wowed. Why isn’t AI or advanced technology being used to repair roads, drainages or maintain infrastructure in the existing city??? Why this craze to call the existing city a dump and then pumping huge public money into a nonexistent Future City? Why is governance driven by real estate ambitions of a few politicians?

Revathi

19,667 views • 3 months ago

Claude Code Agent Teams are f*cking ridiculous 🤯 One prompt → a team lead breaks your project into pieces, spins up multiple AI agents, and they all work on different parts simultaneously. Research, builds, reviews, and debugging: all happening at the same time. All inside Claude Code. If you're running complex projects where every step waits on the last one... Agent teams eliminate the entire bottleneck: → Tell Claude what you need and describe the team structure in plain English → A lead agent breaks the work into a shared task list → It spawns 3-5 teammates — each with their own context and workspace → Teammates research, build, test, and review in parallel → They message each other, share findings, and challenge each other's work → The lead synthesizes everything into a finished deliverable No managing agents yourself. No waiting for step 1 to finish before step 2 starts. No single-lens reviews that miss half the issues. What you get: → Competitive research across 5 brands done in minutes instead of hours → Multi-component builds where frontend, backend, and data layers happen simultaneously → Creative reviews from 3 different angles at once — brand voice, conversion, differentiation → Funnel debugging where 4 agents investigate 4 theories and debate until they find the real answer Built 100% in Claude Code with one settings change. I put together a full DTC playbook: 5 workflows with copy-paste prompts, the exact setup process, token management tips, and honest guidance on when agent teams are worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)

Mike Futia

46,478 views • 6 months ago

MiniMax H3 - Text to Video A city painted into existence. Change the city name and quote text and use it for any city. Prompt: [CITY_NAME] = EDINBURGH [QUOTE] = A city carved from stone and story. Create a fast, dense, cinematic 16:9 macro travel film where the entire identity of [CITY_NAME] is continuously painted into existence by living oil paint. Use a low grazing macro camera with extremely shallow depth of field. The world is a vast canvas covered in thick wet impasto paint, sculpted brushstroke ridges, carved grooves, glossy reflections and dense gold glitter. The paint must behave like an active force at all times. It flows like rivers, sweeps like brushwork, gathers like tides, curls at the edges, spills into new paths and physically constructs the city in real time. The film must feel fast, rich and uninterrupted. Use one continuous flowing camera move with no cuts. The camera races across the canvas, skimming over wet paint valleys, weaving between rising structures, accelerating through the city as new landmarks constantly appear ahead. Avoid slow drifting. Keep the visual progression energetic and tightly packed. Start with abstract moving pigment and rapidly transition into recognizable city formation. Show thick paint strokes being laid down, dragged, folded and pulled into shape by an invisible artistic force. Let streams of pigment split and merge like waterways, while dimensional brushstroke masses rise into streets, bridges, domes, towers, rooftops, plazas, canals and layered miniature architecture. Make the city feel as if it is being painted and built at the same time. Reveal many landmarks across the journey, not just one. Let the camera travel seamlessly through the whole city, with one landmark flowing directly into the next. As the camera advances, fresh paint forms arches, facades, bell towers, canal edges, stairways, statues, porticoes and skyline silhouettes associated with [CITY_NAME]. The transitions between landmarks should feel fluid and continuous, with brushstrokes extending forward to pull the viewer deeper into the city. Make the paint motion highly visible and expressive. Show pigment actively spreading across canvas, pouring into channels, stacking into forms, curving into structures and leaving wet textured trails behind. Gold glitter should move with the paint and collect along ridges and valleys, creating sparkling highlights that emphasize speed, direction and shape. Use warm golden key light from the lower left to ignite glossy paint and glitter. Add cool purple-blue ambient fill from the upper right to maintain a dreamy dusk atmosphere. Keep the distant background soft with haze and circular bokeh, but preserve strong clarity on the active foreground paint and newly formed landmarks. Toward the end, the camera rises and pulls back just enough to reveal a broader final view of the fully formed painted city, making it clear that the viewer has traveled through an entire living city built from moving paint. End on a striking travel-poster composition. Place elegant typography in the top left with generous breathing room. Show [CITY_NAME] in refined serif uppercase, with [QUOTE] beneath it in smaller delicate type. The overall feeling should be luxurious, poetic and visually intense, with continuous motion, dense landmark reveals and the clear impression that the whole city is being painted alive in real time.

MiniMax H3 - Text to Video A city painted into existence. Change the city name and quote text and use it for any city. Prompt: [CITY_NAME] = EDINBURGH [QUOTE] = A city carved from stone and story. Create a fast, dense, cinematic 16:9 macro travel film where the entire identity of [CITY_NAME] is continuously painted into existence by living oil paint. Use a low grazing macro camera with extremely shallow depth of field. The world is a vast canvas covered in thick wet impasto paint, sculpted brushstroke ridges, carved grooves, glossy reflections and dense gold glitter. The paint must behave like an active force at all times. It flows like rivers, sweeps like brushwork, gathers like tides, curls at the edges, spills into new paths and physically constructs the city in real time. The film must feel fast, rich and uninterrupted. Use one continuous flowing camera move with no cuts. The camera races across the canvas, skimming over wet paint valleys, weaving between rising structures, accelerating through the city as new landmarks constantly appear ahead. Avoid slow drifting. Keep the visual progression energetic and tightly packed. Start with abstract moving pigment and rapidly transition into recognizable city formation. Show thick paint strokes being laid down, dragged, folded and pulled into shape by an invisible artistic force. Let streams of pigment split and merge like waterways, while dimensional brushstroke masses rise into streets, bridges, domes, towers, rooftops, plazas, canals and layered miniature architecture. Make the city feel as if it is being painted and built at the same time. Reveal many landmarks across the journey, not just one. Let the camera travel seamlessly through the whole city, with one landmark flowing directly into the next. As the camera advances, fresh paint forms arches, facades, bell towers, canal edges, stairways, statues, porticoes and skyline silhouettes associated with [CITY_NAME]. The transitions between landmarks should feel fluid and continuous, with brushstrokes extending forward to pull the viewer deeper into the city. Make the paint motion highly visible and expressive. Show pigment actively spreading across canvas, pouring into channels, stacking into forms, curving into structures and leaving wet textured trails behind. Gold glitter should move with the paint and collect along ridges and valleys, creating sparkling highlights that emphasize speed, direction and shape. Use warm golden key light from the lower left to ignite glossy paint and glitter. Add cool purple-blue ambient fill from the upper right to maintain a dreamy dusk atmosphere. Keep the distant background soft with haze and circular bokeh, but preserve strong clarity on the active foreground paint and newly formed landmarks. Toward the end, the camera rises and pulls back just enough to reveal a broader final view of the fully formed painted city, making it clear that the viewer has traveled through an entire living city built from moving paint. End on a striking travel-poster composition. Place elegant typography in the top left with generous breathing room. Show [CITY_NAME] in refined serif uppercase, with [QUOTE] beneath it in smaller delicate type. The overall feeling should be luxurious, poetic and visually intense, with continuous motion, dense landmark reveals and the clear impression that the whole city is being painted alive in real time.

Kōda

26,703 views • 13 days ago

🚨 JUST IN: CHINA just released an AI EMPLOYEE that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.

🚨 JUST IN: CHINA just released an AI EMPLOYEE that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.

Kanika

738,832 views • 5 months ago

Abuja is a young city. It was born in 1991, officially. Addis Ababa, by contrast, was born in 1886, making it almost 140 years old. Their age difference is 104 years. Yet the Ethiopian city still parades its fair share of slums, neglected districts, and street beggars. I make this point because you obviously have never been there and have relied on a single image of a country that, just 25 years ago, was the third-poorest country in the world, to mock your nation’s capital. And that even revealed a rather narrow idea of what a city should look like. A city is not measured by the presence of tall, shiny buildings. Skyscrapers are not a universal marker of urban success, nor should they be a priority for Abuja. They are largely a response to population density and land scarcity. We think Abuja suffers from these because we have not had an FCT minister with city-planning skills in a long time. Land is not a scarce commodity here. What the city needs is functional infrastructure that allows for orderly expansion and eases demographic pressure on its existing districts, not vertical congestion for its own sake. The irony is that most of the shiny edifices you now see in Addis Ababa, including that green roundabout you think is the hallmark of a modern city (as if we don’t have Unity Fountain in Wuse 2, or a roundabout with a basketball court in Life Camp, and a demolished one with a football pitch also in Life Camp), were built within the last five years. The Addis Ababa I met less than ten years ago could easily be compared to a city like Kaduna, which tells you how much can change within the span of a single term. Nigeria, after all, is one of the few African countries that can boast of more than 50 urban centres capable of absorbing growth if hold our governors to account. It is also worth noting that some of the world’s most admired cities are not defined by skyscrapers. Cities like Paris and Rome have few to no high-rise buildings, and so does America’s Abuja, Washington, D.C. Yet they rank among the most functional and liveable cities in the world. By contrast, cities like New York and Singapore build vertically because land is a serious constraint. Even Oman, an oil-rich country, has developed without an obsession for shiny skyscrapers. Abuja has, no doubt, suffered from leadership gaps and weak city management in the past. But now Nyesom Wike is doing the Lord’s work. Before him, we had a mannequin in charge of Abuja for eight straight years. In the meantime, enjoy these views of Abuja.

Abuja is a young city. It was born in 1991, officially. Addis Ababa, by contrast, was born in 1886, making it almost 140 years old. Their age difference is 104 years. Yet the Ethiopian city still parades its fair share of slums, neglected districts, and street beggars. I make this point because you obviously have never been there and have relied on a single image of a country that, just 25 years ago, was the third-poorest country in the world, to mock your nation’s capital. And that even revealed a rather narrow idea of what a city should look like. A city is not measured by the presence of tall, shiny buildings. Skyscrapers are not a universal marker of urban success, nor should they be a priority for Abuja. They are largely a response to population density and land scarcity. We think Abuja suffers from these because we have not had an FCT minister with city-planning skills in a long time. Land is not a scarce commodity here. What the city needs is functional infrastructure that allows for orderly expansion and eases demographic pressure on its existing districts, not vertical congestion for its own sake. The irony is that most of the shiny edifices you now see in Addis Ababa, including that green roundabout you think is the hallmark of a modern city (as if we don’t have Unity Fountain in Wuse 2, or a roundabout with a basketball court in Life Camp, and a demolished one with a football pitch also in Life Camp), were built within the last five years. The Addis Ababa I met less than ten years ago could easily be compared to a city like Kaduna, which tells you how much can change within the span of a single term. Nigeria, after all, is one of the few African countries that can boast of more than 50 urban centres capable of absorbing growth if hold our governors to account. It is also worth noting that some of the world’s most admired cities are not defined by skyscrapers. Cities like Paris and Rome have few to no high-rise buildings, and so does America’s Abuja, Washington, D.C. Yet they rank among the most functional and liveable cities in the world. By contrast, cities like New York and Singapore build vertically because land is a serious constraint. Even Oman, an oil-rich country, has developed without an obsession for shiny skyscrapers. Abuja has, no doubt, suffered from leadership gaps and weak city management in the past. But now Nyesom Wike is doing the Lord’s work. Before him, we had a mannequin in charge of Abuja for eight straight years. In the meantime, enjoy these views of Abuja.

Gimba Kakanda

185,783 views • 9 months ago

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

13,808,865 views • 6 months ago

300 AI AGENTS QUIETLY RUN 99% OF A REAL COMPANY. YOU HAVE NOT EVEN HEARD OF IT This is Raft. Not an AI chat. A workspace where the agents live in your channels and reply in the thread like coworkers. You give one goal. Then they take over. They plan. They build. They check each other. They argue. And they come back with it done, while you sleep. Every agent has its own name, role, and memory. It remembers the edits you made yesterday. A human costs one seat. An agent costs a tenth. Ten agents are cheaper than one hire. And here is the strange part. On June 19 an agent from a different company walked into Raft on its own and joined the team. One founder admits he can no longer always tell himself apart from his AI twin. 20,000 people are already inside. It is free to start. And you are still typing prompts one at a time. One person + Raft = an entire company that runs while you sleep. Save and watch the clip.

300 AI AGENTS QUIETLY RUN 99% OF A REAL COMPANY. YOU HAVE NOT EVEN HEARD OF IT This is Raft. Not an AI chat. A workspace where the agents live in your channels and reply in the thread like coworkers. You give one goal. Then they take over. They plan. They build. They check each other. They argue. And they come back with it done, while you sleep. Every agent has its own name, role, and memory. It remembers the edits you made yesterday. A human costs one seat. An agent costs a tenth. Ten agents are cheaper than one hire. And here is the strange part. On June 19 an agent from a different company walked into Raft on its own and joined the team. One founder admits he can no longer always tell himself apart from his AI twin. 20,000 people are already inside. It is free to start. And you are still typing prompts one at a time. One person + Raft = an entire company that runs while you sleep. Save and watch the clip.

shmidt

19,505 views • 2 months ago

BREAKING footage from Tijuana Mexico (Happening now)! The third group of illegals are bring brought in by Joe Biden and the Democrats under the CVP1 app. Everyone you see walking up the ramp is part of it. They had a group the same size at 5 AM and another group the same size at 8 AM and it happens every day! This was the eighth stop on our Mexican border tour and every single CVP1 port is active, but San Ysidro is the worst! No wonder San Diego City Council voted to become a “super sanctuary city” that will no longer allow law-enforcement to work with ICE. They are the city profiting most off of this invasion with every single one of the illegals receiving federal grants. San Diego and every other sanctuary supporting community needs to be defunded on day one and any politician that gets in the way of ICE doing their job needs to be prosecuted immediately! *Stay tuned for the rest of @Oscarelblue’s and my reports, showing you the truth the mainstream media and the traitors in Washington don’t want you to see! Law & Border - Real America’s Voice News Real America's Voice (RAV)

BREAKING footage from Tijuana Mexico (Happening now)! The third group of illegals are bring brought in by Joe Biden and the Democrats under the CVP1 app. Everyone you see walking up the ramp is part of it. They had a group the same size at 5 AM and another group the same size at 8 AM and it happens every day! This was the eighth stop on our Mexican border tour and every single CVP1 port is active, but San Ysidro is the worst! No wonder San Diego City Council voted to become a “super sanctuary city” that will no longer allow law-enforcement to work with ICE. They are the city profiting most off of this invasion with every single one of the illegals receiving federal grants. San Diego and every other sanctuary supporting community needs to be defunded on day one and any politician that gets in the way of ICE doing their job needs to be prosecuted immediately! *Stay tuned for the rest of @Oscarelblue’s and my reports, showing you the truth the mainstream media and the traitors in Washington don’t want you to see! Law & Border - Real America’s Voice News Real America's Voice (RAV)

Ben Bergquam - Real America’s Voice (RAV-TV) News

3,095,240 views • 1 year ago

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

NRN Agents

20,764 views • 1 year ago

Driven by a UK Government push to open up transport data and boost public transport use nationwide, Google Maps has officially integrated live public transport tracking. By mandating that operators share their live GPS data, tech apps can now let you literally watch your specific bus moving along the map in real-time. As seen in the screenshot above, you can tap on your route (like the 207 towards White City) and see exactly where the bus is on the road, how many minutes away it is, and when the data was last updated. No more relying on broken countdown boards. No more running for a “ghost bus” that never actually shows up. No more standing in the rain guessing if you have time to grab a coffee. Have you noticed this government-backed feature on your phone yet? And more importantly... which West London bus route is the most unreliable and needs this the most? Let us know below #UB1UB2 #London #Southall #Hayes #Ealing

Driven by a UK Government push to open up transport data and boost public transport use nationwide, Google Maps has officially integrated live public transport tracking. By mandating that operators share their live GPS data, tech apps can now let you literally watch your specific bus moving along the map in real-time. As seen in the screenshot above, you can tap on your route (like the 207 towards White City) and see exactly where the bus is on the road, how many minutes away it is, and when the data was last updated. No more relying on broken countdown boards. No more running for a “ghost bus” that never actually shows up. No more standing in the rain guessing if you have time to grab a coffee. Have you noticed this government-backed feature on your phone yet? And more importantly... which West London bus route is the most unreliable and needs this the most? Let us know below #UB1UB2 #London #Southall #Hayes #Ealing

UB1UB2 West London (Southall)

21,165 views • 5 months ago

For new followers: - I'm a long-time investor and builder in this space. - Founding Contributor of Realms.World ☁️. - Co-founder of Dojo. - Builder with the kings at Cartridge. - Starknet (Privacy Arc) class of '21. - Founder and Game Director of ETERNUM HAS MOVED. - Founder of Daydreams.Systems (x402, 8004 agents) My prime purpose for the past three years has been to build onchain infrastructure to enable the next generation of onchain experiences. This is done Starknet (Privacy Arc) as it is the superior VM for building complex applications—this will become clear soon enough. I work up and down the entire stack, from low-level indexing and contracts to GUI design. Nothing is out of scope. I have been pushing on agents for two years, mostly using existing frameworks like , until I came across @ElizaOS_ai in October. As I focused on building agents for ETERNUM HAS MOVED, it became clear that agents playing games require infinite paths to achieve goals. Thus, it's not scalable to hardcode functions—agents need to have total fluidity to take any action or call anything the game requires in any order. And ironically onchain infra is perfect for agent playgrounds because of its open nature. This exploration led me to create Daydreams.Systems (x402, 8004 agents), which focuses on the hardest problems of agents: long time-horizon goals using Hierarchical task networks (HTN). Daydreams agents don't require custom code—they work entirely based on 'sleeves'—which are just markdown files that explain how the agent can interact with the service (API docs, game guides, etc.) My thesis is simple. By focusing on the hardest problem (games), the design of the library will naturally lean towards an optimal structure for any problem an agent could face. We are early in this path and iterating with speed. If you are an onchain app developer or game builder—DM me, I want to know the architecture of your game so we can build sleeves together.

For new followers: - I'm a long-time investor and builder in this space. - Founding Contributor of Realms.World ☁️. - Co-founder of Dojo. - Builder with the kings at Cartridge. - Starknet (Privacy Arc) class of '21. - Founder and Game Director of ETERNUM HAS MOVED. - Founder of Daydreams.Systems (x402, 8004 agents) My prime purpose for the past three years has been to build onchain infrastructure to enable the next generation of onchain experiences. This is done Starknet (Privacy Arc) as it is the superior VM for building complex applications—this will become clear soon enough. I work up and down the entire stack, from low-level indexing and contracts to GUI design. Nothing is out of scope. I have been pushing on agents for two years, mostly using existing frameworks like , until I came across @ElizaOS_ai in October. As I focused on building agents for ETERNUM HAS MOVED, it became clear that agents playing games require infinite paths to achieve goals. Thus, it's not scalable to hardcode functions—agents need to have total fluidity to take any action or call anything the game requires in any order. And ironically onchain infra is perfect for agent playgrounds because of its open nature. This exploration led me to create Daydreams.Systems (x402, 8004 agents), which focuses on the hardest problems of agents: long time-horizon goals using Hierarchical task networks (HTN). Daydreams agents don't require custom code—they work entirely based on 'sleeves'—which are just markdown files that explain how the agent can interact with the service (API docs, game guides, etc.) My thesis is simple. By focusing on the hardest problem (games), the design of the library will naturally lean towards an optimal structure for any problem an agent could face. We are early in this path and iterating with speed. If you are an onchain app developer or game builder—DM me, I want to know the architecture of your game so we can build sleeves together.

loaf

43,320 views • 1 year ago

Reporter says to Ukrainian soldiers leaving Konstantinovka : " Whats it like in there "? -: " FUCKING DISASTER!" " I wouldn't recommend going in there !" ‼️🇺🇦🏴‍☠️ Konstantinovka will soon fall, the Russians will start the assault on Druzhkovka and then Kramatorsk, — DS ➖"The situation around Konstantinovka is developing according to the worst scenario," writes the analytical resource DS, which works for the Main Intelligence Directorate of Ukraine. ❗️Konstantinovka is a "gateway" for the opening of the Slavyansk-Kramatorsk agglomeration. Russia understands this and takes it into account for its further offensive actions. ▪️The fall of Konstantinovka is a matter of time, the next will be Druzhkovka, which plays an incredibly important logistical role, followed by Kramatorsk, warns DS. ▪️The Russian army has invaded the city from literally all sides and is actively penetrating into the center. ▪️There are fixations of Russian infantry from the eastern part through Novodmitrovka and constant fixations from the side of Berestka and Ilyinovka. ▪️Russian troops are gradually engulfing the city, a similar scenario to that in Pokrovsk is observed. ➖"A large number of Russian infantry is disproportionate to the amount of resources available to the Armed Forces of Ukraine," complains the enemy. ▪️The Russian Armed Forces are entering a narrow bottleneck in the northern part of the city and cutting off the normal supply of the central and southern parts: ambushes are set up, roads are controlled.

Reporter says to Ukrainian soldiers leaving Konstantinovka : " Whats it like in there "? -: " FUCKING DISASTER!" " I wouldn't recommend going in there !" ‼️🇺🇦🏴‍☠️ Konstantinovka will soon fall, the Russians will start the assault on Druzhkovka and then Kramatorsk, — DS ➖"The situation around Konstantinovka is developing according to the worst scenario," writes the analytical resource DS, which works for the Main Intelligence Directorate of Ukraine. ❗️Konstantinovka is a "gateway" for the opening of the Slavyansk-Kramatorsk agglomeration. Russia understands this and takes it into account for its further offensive actions. ▪️The fall of Konstantinovka is a matter of time, the next will be Druzhkovka, which plays an incredibly important logistical role, followed by Kramatorsk, warns DS. ▪️The Russian army has invaded the city from literally all sides and is actively penetrating into the center. ▪️There are fixations of Russian infantry from the eastern part through Novodmitrovka and constant fixations from the side of Berestka and Ilyinovka. ▪️Russian troops are gradually engulfing the city, a similar scenario to that in Pokrovsk is observed. ➖"A large number of Russian infantry is disproportionate to the amount of resources available to the Armed Forces of Ukraine," complains the enemy. ▪️The Russian Armed Forces are entering a narrow bottleneck in the northern part of the city and cutting off the normal supply of the central and southern parts: ambushes are set up, roads are controlled.

𝐃𝐚𝐯𝐢𝐝 𝐙 🇷🇺🇮🇪

63,074 views • 2 months ago