GM and gAction Guys ๐๐
@ActionModelAI community is a live system rather than merely a collection of individuals.
Every action is a signal. Each contribution is the energy that keeps it going
We are constructing the future behind the scenes with deeds, not words.
Step in ๐
GM Legends โ๏ธ
Strong conviction in @ActionModelAI
Every tiny step counts.
Every effort adds up over time.
While patience develops success, consistency generates strength ๐ซ
Regardless of the pace, keep moving ahead ๐
People who never stop building produce great things.
@AgbonifoF96552@ActionModelAI@georgia_action This is why you need to choose ActionModel, the community-owned large Action model, where we get rewarded just taking real Actions .
AI is moving from simply understanding information to interacting with the digital world.
But for that to happen, AI needs more than a model. It needs a system.
Thatโs the foundation of @ActionModelAI
A system built around three connected pillars: learning from human interactions, executing tasks through AI, and creating an economy around participation.
โ ๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐: Where Learning Begins
The extension captures real web interactions and workflows, helping train the LAM to understand how people navigate digital environments.
Over time, these interactions contribute to the Action Tree, a growing map of how tasks are completed.
โ ๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐: Where AI Takes Action
The Actionist brings the LAM into your computer.
Instead of only responding, it can interact with software; understanding screens, navigating applications, and completing tasks step by step.
โ ๐๐๐ $LAM ๐๐๐๐๐: Connecting the Ecosystem
The token layer connects the people contributing data, the AI performing actions, and the network itself.
It supports training rewards, powers actions, enables governance, and aligns incentives.
Learning โ Execution โ Economy.
This is what turns Action Model into a system, not just a model.
@ActionModelAI I keep saying this is the most important time you can train AI, but come to think of it, imagine you tell someone you train a model that can replace jobs and automation, also learn from human real actions that's insane right.
But here is the thing, who benefits from it?
Imagine explaining this to someone in 2035:
"Yeah, billions of people trained the world's most powerful AI systems..."
"And who owned them?"
"A handful of tech billionaires."
"And what did everyone else get?"
"Nothing."
When you say it out loud, it sounds insane.
What Is the concept behind the Action Loop?
The Action Loop is the process an AI follows to complete a task from start to finish, just like a human would.
Imagine you tell someone:
"Open OPay, send โฆ5,000 to olawale, and send me the receipt.
A human would not instantly complete the task. They would first look at the screen, understand what they are seeing, decide what to do next, take an action, and then look at the screen again to continue.
The Action Loop follows this same pattern.
Step 1: Observe
The AI first looks at the screen.
It identifies buttons, text, menus, images, and anything else that appears on the interface.
For example, it may see:
Transfer
Send Money
Balance
Recent Transactions
Step 2: Think
After observing the screen, the AI analyzes what it sees and determines the next step needed to achieve the goal.
If the goal is to send money, the AI may decide that it needs to click the Transfer button first.
Step 3: Act
The AI performs the action it has chosen.
This could involve:
Clicking a button
Typing information
Selecting an option
Opening a new page
Step 4: Observe Again
Once the action is completed, the screen changes.
The AI looks at the new screen and gathers fresh information.
For example, it may now see:
Account Number
Amount
Confirm
Step 5: Think Again
The AI evaluates the new screen and decides what action should come next.
It may determine that the next step is entering the amount to be transferred.
Step 6: Act Again
The AI performs the next action and continues moving toward the goal.
This cycle repeats continuously:
Observe ใThink ใ Act ใ Observe ใ Think ใAct
The loop only stops when the task has been completed.
Why Does This Matter?
Most AI systems today are designed mainly for conversation.
You ask a question.
The AI provides an answer.
The interaction ends there.
Action Model takes a different approach.
Instead of simply explaining how to do something, it focuses on actually performing the task.
Rather than saying:
Here is how to book a flight.
The AI can:
Open the website
Search for available flights
Fill in the required information
Choose the best option
Complete the booking process
To accomplish this, the AI must constantly observe, think, and act until the objective is achieved.
The Simplest Explanation
A traditional chatbot works like this:
Question = Answer
An Action Model works like this:
See ใ Think ใ Act ใ Repeat
One provides information.
The other takes action.
That is the core idea behind the Action Loop.
Giving away $100 USDC ๐ 1 winner, drawn at random from everyone who
Follow @KibahJoseph
follows @GEngine_io + tag 2 friends who wants to also maybe win
Ends June 26.
Easy money ๐ฐ
#wegrowtogether
@ActionModelAI Billionaires should not only own the future of AI models. People who help or contribute to building it should also have a steak and benefits too.
In 10 years, people will ask:
"What did you do when AI started changing everything?"
Most people will say:
"Nothing."
A small group will say:
"I helped build it and own it."
The future is being decided right now.
Choose which side of history you're on.