𧏠NFT Explorer | đ¤ AI & Web3 Enthusiast đ¨ Web3 Creator | Ambassador | Community Contributor đŠ DM for Collabs
Joined November 2020
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- Following1.6K
- Followers2.2K
- Likes2.7K
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The next evolution of AI wonât just be about what AI can say â it will be about what AI can actually DO.
Thatâs what makes Action Model stand out to me.
A Large Action Model capable of interacting with computers, executing real tasks, and turning AI from a conversational tool into an agent that can actually act is a major shift.
But what excites me even more is the ownership model.
The people who contribute data, training, ideas, workflows, and effort shouldnât just watch the AI revolution happen â they should have a role in building it and sharing in the value they help create.
I want to contribute through original content, education, community engagement, and meaningful conversations around Action Modelânot simply reposting announcements.
AI that acts.
Built by the community.
Shaped by its contributors.
Iâm ready to help build the movement. đŁ
@ActionModelAI #ActionModel #AI #Web3
Apply to our Creator & Ambassador Program đž
Some people will watch the AI revolution happen.
Others will help build the movement around it.
Weâre looking for Web3 creators and ambassadors who want to do more than just post about AI.
We want people who can shape the conversation, grow the community, and become recognised voices inside the Action Model ecosystem.
You do not need a huge audience.
You do need original ideas, consistency, and the ability to make people care.
If selected, youâll get access to:
- Paid opportunities every month
- Exclusive rewards
- Early product and campaign access
- Direct collaboration with our team
- Recognition across the community
Whether you create videos, threads, memes, graphics, tutorials, articles, or host Spaces, there could be a place for you.
If you believe AI should be owned by the people helping build it, this is your chance to play a bigger role in that future.
Places are limited. Apply via the link below.
For the longest time, getting early access or allocations in Web3 meant either grinding pointless Discord roles, filling out endless Google forms, or losing out to sybil farms. Actual users almost always got diluted by bots.
Thatâs honestly why what @NucleusCodes is doing as a distribution layer makes so much sense right now. Instead of random raffles or pure hype games, they are turning your actual on-chain history and real social footprint into a measurable reputation engine.
No begging for whitelists or hunting for referral codesâyour track record literally speaks for itself. Projects finally get a clean way to filter out the noise and reward genuine contributors, while real participants get the access they actually deserve without jumping through hoops.
Web3 desperately needed a smarter way to connect capital and opportunity with real reputation. Definitely worth paying attention to how theyâre reshaping the meta with $AURA
đ¤ Made with AI
Stop just chatting with your AI and actually make it work for you.
Most people are still hyped about standard LLMs, but if we're being honest, just generating text isn't enough anymore. Normal chatbots give you the recipe, while @ActionModelAI actually orders the groceries, compares prices, and pays the bill for you.
Instead of us sitting at the screen clicking buttons all day, Large Action Models can navigate websites, interact with UIs, and run boring repetitive workflows completely on autopilot.
Moving from simple prompting to real task execution is a massive unlock for Web3 and everyday productivity. We aren't just using tools anymore, we are basically hiring digital agents.
Definitely keeping a close eye on how this narrative plays out. What's the first daily task you'd put on autopilot?
đ¤ Made with AI
Ashikur Rahman retweeted
ActionFiâs biggest campaign yet is officially live. đž
@SweepGlobal has joined ActionFi with a $150,000 reward pool running across 10 weeks.
The competition is built for those ready to take action.
Complete Sweep tasks.
Earn points.
Climb the leaderboard.
The top 150 participants will receive rewards based on their final position.
But the leaderboard is not the only way to win.
$30,000 is reserved for the lottery, creating another opportunity for active participants to earn a share of the campaign rewards.
$20,000 for our creators and ambassadors competitions.
Sign up to Action Model.
Download the Browser Extension.
Open ActionFi.
Start completing Sweep tasks.
Join our Discord to follow campaign updates.
SWEEP x ActionFi is live.
$150K in rewards and 10 weeks of competition đ
@SweepGlobal x ActionFi is a big opportunity for the community to earn through tasks, leaderboard rankings, and lottery rewards.
Time to take action and make every point count.
ActionFiâs biggest campaign yet is officially live. đž
@SweepGlobal has joined ActionFi with a $150,000 reward pool running across 10 weeks.
The competition is built for those ready to take action.
Complete Sweep tasks.
Earn points.
Climb the leaderboard.
The top 150 participants will receive rewards based on their final position.
But the leaderboard is not the only way to win.
$30,000 is reserved for the lottery, creating another opportunity for active participants to earn a share of the campaign rewards.
$20,000 for our creators and ambassadors competitions.
Sign up to Action Model.
Download the Browser Extension.
Open ActionFi.
Start completing Sweep tasks.
Join our Discord to follow campaign updates.
SWEEP x ActionFi is live.
Ashikur Rahman retweeted
âĄWeek 4 whitelist drop. The clock starts now.
20 Task Campaign Whitelist spots.
To enter:
â Follow @Uni_Hexa
⥠Like + repost this post
⢠Reply with your BTC address
âł Ends in 6 hours.
Winners can use their whitelist to join the UniHexa Rewards Campaign in Week 4 before October 18 at 10:00 UTC+8.
Ashikur Rahman retweeted
AI is learning to do the jobs of the people who helped train it.
Data labelers spent millions of hours correcting outputs and teaching models to recognise patterns.
Developers created the code, documentation and technical solutions that helped AI learn how software is built.
Writers and translators produced the language, knowledge and cultural context that models learned from.
Support teams and knowledge workers created countless examples of how questions are answered, problems are solved and work gets done.
Now AI can label data, write code, translate languages, create content, answer customers and automate parts of the workflows these people perform every day.
That does not mean AI is bad.
AI has the potential to remove repetitive work, increase productivity and give people more time to focus on creativity, judgment and meaningful problems.
But it raises an important question:
If human knowledge, behavior and work helped create this technology, who should benefit from the value it generates?
Today, much of that value is concentrated within a small number of private companies.
The people AI learned from rarely receive ownership in the systems they helped make possible.
That is the relationship Action Model is working to change.
We are building a community-owned AI ecosystem where people can consciously contribute real actions and workflows, earn rewards for their contributions and have the opportunity to own a piece of the AI they help train.
More than 590,000 people are already taking part.
Because AI should not only learn from people.
It should create value for them.
AI was built on human knowledge, creativity, and countless hours of work. Now it's time for the people behind that progress to share in its value.
Action Model is pushing toward a future where contributing to AI means more than just training it . it means earning rewards and having a chance to own a part of it.
AI is learning to do the jobs of the people who helped train it.
Data labelers spent millions of hours correcting outputs and teaching models to recognise patterns.
Developers created the code, documentation and technical solutions that helped AI learn how software is built.
Writers and translators produced the language, knowledge and cultural context that models learned from.
Support teams and knowledge workers created countless examples of how questions are answered, problems are solved and work gets done.
Now AI can label data, write code, translate languages, create content, answer customers and automate parts of the workflows these people perform every day.
That does not mean AI is bad.
AI has the potential to remove repetitive work, increase productivity and give people more time to focus on creativity, judgment and meaningful problems.
But it raises an important question:
If human knowledge, behavior and work helped create this technology, who should benefit from the value it generates?
Today, much of that value is concentrated within a small number of private companies.
The people AI learned from rarely receive ownership in the systems they helped make possible.
That is the relationship Action Model is working to change.
We are building a community-owned AI ecosystem where people can consciously contribute real actions and workflows, earn rewards for their contributions and have the opportunity to own a piece of the AI they help train.
More than 590,000 people are already taking part.
Because AI should not only learn from people.
It should create value for them.
đŁ @Uni_Hexa Week 4 is coming on Oct 13.
Good news for the community đ
â
Task Campaign Whitelist holders are eligible.
â
Early Access users can join too â if they traded at least 5U before Sep 17, 17:00 UTC+8.
â ď¸ One address = One submission. Previously submitted addresses can't participate again.
More details dropping soon. Stay active.
đŁ Week 4 lands Oct 13 â and we're making room for more
1ď¸âŁ Got a Task Campaign Whitelist?
-> You're in.
2ď¸âŁ Early Access Active address?
-> You're in too
âWhat's an Early Access Active address?
Traded ⼠5U on UniHexa before Sep 17, 17:00 UTC+8. That's you.
đ One address = One submission. Any address that has already submitted campaign tasks in an earlier week cannot submit again.
More Week 4 details coming soon. Stay tuned.
Ashikur Rahman retweeted
đŁ Week 4 lands Oct 13 â and we're making room for more
1ď¸âŁ Got a Task Campaign Whitelist?
-> You're in.
2ď¸âŁ Early Access Active address?
-> You're in too
âWhat's an Early Access Active address?
Traded ⼠5U on UniHexa before Sep 17, 17:00 UTC+8. That's you.
đ One address = One submission. Any address that has already submitted campaign tasks in an earlier week cannot submit again.
More Week 4 details coming soon. Stay tuned.
The biggest question about AI isn't just how powerful it can become, but who will actually own that power.
Right now, Big Tech has the data, computing power, talent, and infrastructure to stay ahead. And with Large Action Models (LAMs), things could go even further. These models don't just generate text; they can interact with apps, navigate interfaces, and perform real tasks. But training them requires complex action data that isn't easy for everyone to access.
Here's what bothers me: millions of people generate valuable data through everyday digital activities, yet most of the value ends up with the companies controlling the technology.
What if the people contributing to AI could also own a piece of it?
That's the idea behind The @ActionModelAI : building a community-owned alternative where contributors can participate in the value they help create.
AI is going to shape our future either way. The real question is whether we'll remain users of someone else's intelligence or become part of the system that builds it.
Ashikur Rahman retweeted
29,000+ waitlisted traders just got access to Arcus.
Plus: invite codes now automatically set you as the referrer. Previously spent codes are being refunded with a bonus, and codes can't be used on traders who already have perps access.
Everything that changed: arcus.xyz/blog/arcus-invite-âŚ
Arcus Access Update
29,000+ waitlisted traders have now received access to Arcus .
29,000+ waitlisted traders just got access to Arcus.
Plus: invite codes now automatically set you as the referrer. Previously spent codes are being refunded with a bonus, and codes can't be used on traders who already have perps access.
Everything that changed: arcus.xyz/blog/arcus-invite-âŚ
OpenAI holding back GPT-6.1 Astra over safety concerns highlights a problem we canât ignore: AI agents need boundaries, not just intelligence.
When an agent can interact with real systems, every action matters. It should ask permission before sensitive tasks, stay within its limits, keep actions transparent, and remain accountable when something goes wrong.
Thatâs what makes the shift from chatbots to AI agents so important. Getting the answer right is no longer enough. We also need to know whether the action was authorized.
This is where @ActionModelAI stands out to me. A community-owned Large Action Model could give contributors a voice in how AI is developed, governed, and how its value is shared.
Community ownership alone wonât guarantee safety, but it creates an opportunity to build AI with accountability at its core.
The future isnât just about AI learning how to act. Itâs about knowing when to act, when to ask, and when to stop.
Ashikur Rahman retweeted
âĄFlash Task Campaign Whitelist Drop
10 whitelist spots. 2 hours. Be fast.
To enter:
â Follow @Uni_Hexa
⥠Like + repost this post
⢠Reply with your BTC address
â° Ends in 2 hours
Winners must use their whitelist to submit tasks before Week 3 ends on Oct 11 at 10:00 UTC+8. Unused whitelist spots will expire.
Let's explore Bitcoin-native trading together on @Uni_Hexa. Join with my referral code: 9AYKLWVXR unihexa.io/?code=9AYKLWVXR
Ashikur Rahman retweeted
UniHexa Rewards Campaign Week 3 is underway âĄ
Missed the last whitelist drop? Here's another shot đ
10 Task Campaign Whitelist spots just dropped. Move fast!
To enter:
â Follow @Uni_Hexa
⥠Like + repost this post
⢠Reply with your BTC address
â° Ends in 6 hours
đWinners must use their whitelist within 48 hours after the results are announced. Unused whitelist eligibility will expire.
Imagine buying rare books, scanning their contents to train AI, and destroying the original copies in the process. Thatâs the controversy surrounding Anthropicâs book-scanning project, which raises a much bigger question about the future of AI.
Human knowledge has always been the foundation of innovation. But now, books, images, code, and even our everyday digital actions can become valuable training data for AI systems.
The problem isn't AI learning from humans. It's that the people whose knowledge and creativity help build these systems often have little control over how their contributions are used or who benefits from them.
This is where @ActionModelAI gets interesting.
Instead of leaving AI ownership and its rewards in the hands of a few big companies, Action Model aims to create a community-owned AI ecosystem where people can contribute to training AI and participate in the value they help create.
To me, the bigger conversation isn't just about copyright or data collection. It's about ownership, contribution, and fair participation in the AI economy.
If human knowledge helps build the future of AI, shouldn't the people behind that knowledge have a chance to benefit from it?
AI is inevitable. But a future where its value is shared more fairly is still something we can build.
AI copyright lawsuits are only the beginning of a much bigger conversation.
Right now, the debate is mostly about whether AI companies can legally train on books, articles, images, code, and other human-created content.
But I think the more interesting question comes next:
What happens when AI starts learning not only from what we create, but from what we do?
People are already becoming part of the training loop through feedback, decisions, workflows, corrections, tool usage, and real-world actions.
That data can become extremely valuable.
And if those actions are what make an AI agent better at actually getting things done, should the people providing that intelligence remain nothing more than âdata sourcesâ?
This is where Action Modelâs idea gets interesting.
A Large @ActionModelAI is not just about understanding information. It is about learning how humans turn instructions into real outcomes.
The bigger vision is connecting contribution with participation.
You contribute actions â the system gets better â the ecosystem grows â contributors have a path to share in the value they helped create.
The AI economy shouldnât be built on a simple formula where humans provide the intelligence and a few companies permanently own the upside.
Copyright may decide what is legally allowed.
But it wonât decide who deserves to participate in the value created by AI.
That is a much bigger questionâand I think weâre only starting to ask it.
