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AI has moved from chat-based assistance into ACTION - agents that plan, execute, and do things autonomously. By 2028, 40% of all AI interactions will use action models and autonomous agents for task completion. But here's what nobody's talking about: Who benefits when these agents scale? Right now — the company, investors, boards …(Microsoft. Google. OpenAI. Anthropic…) Community-owned AI flips that. When the model reaches 1M users? → The people who trained it share in what it creates → Not just the suits who funded it @ActionModelAI the future of AI entails this and more. Community ownership is the future of who profits from AI. That's not a feature. That's a fundamental redesign of power.

Building AI together and sharing its value together is exactly what we're fighting for. The future shouldn't belong to a handful of models, especially when it's trained on all our data.

From Workflow Overload to AI Action @ActionModelAI @georgia_action #lam

What happens when a community-owned AI reaches 1 million users? For the first time in history, AI doesn’t just get smarter. The people helping build it get stronger too. Not just investors. Not just board members. Not just billionaires. Ordinary people helping train the model share in the value it creates. That’s how the future of AI should work. That’s when things get truly interesting.

Good morning everyone These are the finest character on action model part 1 @ActionModelAI @georgia_action @KibahJoseph

Japan right now 🇯🇵

Just checking ...... am i following all my normies holders? if not .... drop your normies below and lemmies follow you @normiesART

Karma exist in the slightest of things, The kind words, the smile, the wholesome gesture at a total stranger All these begets just as much Karma as evil begets karma

There's a reason most people miss out on big opportunities. They wait for certainty. They wait for headlines. They wait for everyone else to validate it. They wait until the risk feels gone. By then, the upside might be gone. @ActionModelAI is still in that phase where people are trying to figure out what it can become. Epoch 6 is live. The 1.5x lifetime multiplier is still available. Points are still being earned. The network is still growing. The future doesn't reward people for being first. It rewards people for being early enough. Big difference. join:- join.actionmodel.com/MINT

𝗗𝗮𝘆 7/𝟯𝟬 👾 I’ve been trying to build an Action Model quiz game lately. So I moved over to Lovable AI to speed things up, but I keep running into the same issue. I always hit the daily credit limit within a few hours of coding and progress just stops until it resets the next day. It’s not really a complaint, but that’s just how these tools work. But it made me think about something from my recent post (Day 4) on Big Tech vs community-owned AI. Most of the tools people build with today are still controlled by a few platforms. They decide access, limits, and how far you can actually go in a day. That is exactly the tradeoff. That makes @ActionModelAI becomes interesting to me. Instead of asking people to simply consume AI, it explores a model where communities can participate in and contribute to the ecosystem itself. Whether community-owned AI can compete with Big Tech is still an open question. But the more builders run into the limits of centralized systems, the more relevant that question becomes.

FROM WORKFLOW TO ACTION @ActionModelAI @georgia_action

What if AI could do your work, not just explain it? 👀 @ActionModelAI @georgia_action

My weekend task for action model.took me 6 hours before I could finish 😜 @ActionModelAI @georgia_action

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Most AI today can understand what's on a screen. The next-gen AI can actually use it. An LLM can look at a dashboard and tell you what it sees. A LAM can navigate the dashboard, click the right buttons, fill forms, and complete the task. That's what makes @ActionModelAI interesting. Its agents interact with software the way humans do, seeing what's on the screen, understanding the context, and taking actions across websites. Think of it less like a chatbot and more like a digital teammate. Need data collected? Need repetitive admin work handled? Need a workflow completed across multiple tools? Instead of explaining the steps, the agent can execute them. The real breakthrough in AI isn't that machines can read screens. It's that they can now work through them. We're moving from AI assistants that provide information to AI agents that produce results. ...we're only getting started.

Episode 4 The First Observer Revealed

𝗗𝗮𝘆 𝟱/𝟯𝟬 👾 𝗪𝗵𝗮𝘁 𝗘𝘅𝗮𝗰𝘁𝗹𝘆 𝗜𝘀 𝗧𝗵𝗲 𝗔𝗰𝘁𝗶𝗼𝗻 𝗟𝗼𝗼𝗽? One thing I've noticed while exploring @ActionModelAI is that a lot of people hear "ActionFi" but don't fully understand what powers it. At a simple level, the Action Loop is built around a straightforward idea: People take actions. Those actions create value. Value gets recognized and rewarded. People are encouraged to participate again. Then the cycle repeats. Sounds obvious, but most platforms stop somewhere in the middle. Users contribute. The platform grows. The value stays with the platform. The Action Loop attempts to close that gap by connecting participation back to incentives. The goal isn't just to attract activity. It's to create a system where contribution has a reason to continue.

What if AI could act. Navigate systems. Execute workflows? @ActionModelAI

For years we've been impressed by AI that can answer questions. The next leap is AI that can actually do something with those answers. ChatGPT: "Here's how to book your flight." Action Model (@ActionModelAI ): "Done. Your flight has been booked." That's the difference between an LLM and a LAM. One generates information, the LLMs while the other generates completed tasks. We're entering an era where AI doesn't just assist humans but they actively operates software, navigates interfaces, and executes workflows on our behalf. AI is evolving from knowledge engines to action engines. And that changes everything.