CRYPT LAYERS 📟 retweeted
- Another day well done!
Thank God for keeping things running smoothly
GN CT
CRYPT LAYERS 📟 retweeted
what if AI agents could uncover onchain activity that would take you hours to investigate manually?
imagine asking an agent to find every wallet that interacted with strkBTC on @Starknet, then identify which of those wallets also used the Privacy Pool.
instead of digging through transactions one by one, you could let the agent investigate using structured blockchain data.
this is where Starkscan comes in.
Starkscan provides a data API that helps developers and AI agents access decoded blockchain data, including transactions, token transfers, wallet activity, and contract events.
this means an AI agent can do more than just answer questions.
it can follow the data, connect related activity, and uncover patterns that might otherwise go unnoticed.
but there’s another use case worth paying attention to privacy.
with selective disclosure, a wallet could potentially prove it meets certain compliance requirements without exposing its entire transaction history.
you can prove what matters without revealing everything.
i think this is an interesting direction for starknet as AI agents become more useful for real onchain investigations.
docs: starkscan.co/docs
what would you ask an AI agent to investigate first onchain?
one thing i find interesting about @Starknet is that it’s not just about how secure blockchain is today, but also how that security can evolve when new threats emerge.
let’s look at it from a different angle.
imagine you own a bank account that uses a pin to protect your money. today that method might be enough.
but what happens when technology advances and a new threat makes the old security method less reliable?
you wouldn’t want to be stuck with a system that can’t adapt. you will want the ability to introduce a better method without having to rebuild the entire banking system from scratch.
i think blockchain security should follow a similar approach.
the technology we trust today won’t necessarily be enough forever, and being prepared means thinking about how to upgrade security before those changes become urgent.
this is one reason programmable accounts on Starknet are worth understanding.
normally, when you send a transaction, your account needs to verify a signature to confirm that the action is authorized.
think of it as showing the right credentials before you’re allowed to do something.
with programmable accounts, developers have more flexibility over how that verification works.
they can potentially introduce different signature verification methods without requiring a network wide upgrade just to change how accounts authorize transactions.
that flexibility could become especially important as cryptography continues to evolve.
but there’s another side to Starknet’s security that deserves attention.
Starknet uses STARK proofs to help verify computations, instead of having to repeat every step of a calculation, a verifier can check the proof to gain confidence that the computation was performed correctly.
it’s important to understand that digital signatures and STARK proofs serve different purposes.
signatures help authorize actions, while STARK proofs help verify computations.
both are part of the bigger conversation around building systems that people can trust.
now, let’s talk about quantum computing.
quantum computers could eventually threaten some of the cryptographic methods used to secure digital systems today.
that doesn’t mean every blockchain security mechanism will automatically break, or that these threats are already here.
but it does raise an important question.
will the systems we’re building today be ready to adapt when cryptographic standards need to change?
that’s where Starknet’s ongoing research gets interesting.
Starknet is exploring whether becoming an independent, post-quantum L1 could give it greater control over its long-term security direction and how it responds to future cryptographic challenges.
this is still research, not a completed transition, and there’s a lot to consider before such a move becomes reality.
still, i believe it’s worth exploring these questions early rather than waiting until the industry is forced to react.
because good security isn’t just about having strong protection at a particular moment.
it’s also about having the flexibility to improve that protection as technology changes.
we’re still learning what the future of quantum computing will look like, but projects that seriously examine their long term security assumptions are asking important questions today.
that’s what makes Starknet’s research worth keeping an eye on.
the goal shouldn’t just be to build a secure blockchain for today.
it should be to build one that can keep adapting to the security challenges of tomorrow.
CRYPT LAYERS 📟 retweeted
- Only if you look.
Applied for the allowlist. @meetmotes
meetmotes.com/apply
CRYPT LAYERS 📟 retweeted
- Thank God!
You asked for more time. You got it!
Registration is reopening for a few more days 👇
airdrop.genlayer.com
CRYPT LAYERS 📟 retweeted
- In the age of AI, being valuable to the economy and owning a piece of it could become two very different things.
Think about it.
Every time someone demonstrates a task, corrects an AI’s mistake, provides feedback or shows an intelligent system how to navigate a real-world workflow, they contribute to making that system more capable.
Over time, those capabilities can become products, services and powerful economic assets.
But here’s the important distinction.
Contributing to the intelligence of a system doesn’t automatically give you a stake in its success.
You could help AI become more capable without owning any part of the technology your contribution helps improve.
This raises a question that deserves more attention as AI advances,
What should the relationship between human contribution and economic ownership look like in an AI-driven economy?
@ActionModelAI believe this relationship deserves to be rethought.
AI development isn’t limited to researchers working in laboratories. Ordinary people possess knowledge, practical experience and digital workflows that can help AI understand how real work gets done.
@ActionModelAI is building towards a community-owned AI ecosystem where people can contribute to AI development and have an opportunity to participate in the value they help create.
The idea goes beyond rewarding activity. It’s about exploring a different model for how people can participate in the growth of AI.
Because the future shouldn’t be measured only by how much intelligence machines acquire or how much productivity they generate.
We should also consider how many people get the opportunity to benefit from that progress.
AI may transform the meaning of work. It may change how value is created and who creates it.
But we still have a choice in how participation in that future is structured.
The next chapter of AI shouldn’t be just about building smarter machines. It should also be about creating more opportunities for people to share in their success.
That’s the future @ActionModelAI is working towards.
Train it. Earn it. Own it.
gAction
CRYPT LAYERS 📟 retweeted
- Last year around this time my Sorsa score was 50+.
Not bad at all..
I’m definitely doing something right huh?
CRYPT LAYERS 📟 retweeted
- Great start to the week!
Thank God for keeping things running smoothly
GN CT
CRYPT LAYERS 📟 retweeted
- One thing I believe a lot of us can agree with is that justice can fail people in more ways than one. It can be too slow to deliver meaningful results, too expensive for ordinary people to access, and sometimes get the outcome completely wrong.
Think about what that means in practice. Someone can have a legitimate case but lack the money to pursue it. Another person can spend years waiting for a resolution that should never have taken that long. And even after navigating the process, there is no absolute guarantee that the outcome will be fair.
Justice means very little if the people who need it most cannot afford to access it.
This is why I believe the conversation about upgrading justice deserves more attention.
The core concept is not simply about introducing new technology into an old system. It is about rethinking how justice is delivered, how decisions are made, and how accountability can be improved.
AI creates an opportunity to make legal information easier to understand, reduce administrative bottlenecks, and help people navigate complicated processes. Smart contracts and automated systems could also make certain agreements easier to execute and enforce.
But we must be careful not to confuse automation with justice. An automated system can still make mistakes, reproduce existing biases, or disadvantage people who do not understand how it works. Technology must be transparent, accountable, and designed to protect the people using it.
For me, the real measure of progress is not how advanced the technology becomes. It is whether an ordinary person has a better chance of understanding their rights, challenging an unfair decision, and obtaining a fair outcome without being held back by financial barriers.
We have spent years improving the speed at which technology operates. It is time to think just as seriously about improving fairness, access, and accountability.
The future of justice should not only be more efficient. It should be more accessible, more transparent, and fairer for everyone.
That is what #JusticeNeedsAnUpgrade means to me.
Slow. Expensive. Wrong.
It's been this way for centuries. It doesn't have to be.
#JusticeNeedsAnUpgrade
CRYPT LAYERS 📟 retweeted
- The future of AI should not be defined solely by how intelligent machines become, but also by how much power people have to shape what comes next.
AI is already changing how we work, create, make decisions, and interact with technology. As these systems become more capable, the question of ownership becomes increasingly important.
Millions of people contribute to the digital economy through their knowledge, actions, creativity, and everyday interactions. These contributions help create the data, workflows, and experiences that make intelligent systems more useful. Yet, the value generated by this growing ecosystem is not always shared with the people who help make it possible.
A future where AI becomes more powerful should also be a future where people have more agency, not less.
This means moving beyond simply giving people access to AI tools. It means exploring ways for individuals to participate in the value they help create, have a meaningful stake in the systems they contribute to, and gain greater control over how technology fits into their lives.
This is why it’s very important to pay attention to what @ActionModelAI is trying to do
Through its Large Action Model (LAM), ActionModelAI is working toward AI that can understand and learn from human actions, decisions, and workflows to carry out tasks more intelligently. The goal extends beyond making AI capable of performing tasks. It is also about creating opportunities for people to contribute to this ecosystem and participate in the value it generates.
With @ActionModelAI , the idea of community ownership becomes particularly relevant. Rather than treating people solely as end users of increasingly powerful AI systems, the vision is to give them a more meaningful role in the ecosystem through mechanisms that connect their contributions to participation and ownership.
Its Action Loop and Actionist automation further reflect a future where AI can learn how people work and help turn those processes into useful, repeatable actions.
The bigger picture is important.
If AI is going to transform productivity, reshape industries, and influence how value is created across the global economy, then the conversation should not stop at efficiency, intelligence, or technological advancement. We should also be asking who benefits, who gets to participate, and whether the people helping build this future have a stake in its success.
Technology should expand human possibilities, not leave people with fewer choices as it advances.
That is why the connection between AI and ownership deserves more attention. Giving people a stake in the future they contribute to can create a stronger relationship between technological progress and the communities that make it possible.
@ActionModelAI is building around this idea, an AI ecosystem where human contributions matter, participation has value, and ownership can become part of the conversation about the future of intelligence.
Because the next chapter of AI should not only be about building smarter machines.
It should also be about giving people more agency over the world those machines will help shape.
gAction
CRYPT LAYERS 📟 retweeted
- Happy new week familia!
Nothing but Blessings for us this new week
Gm CT
CRYPT LAYERS 📟 retweeted
- Thanks God for keeping things running smoothly
See you tomorrow guys
GN CT
CRYPT LAYERS 📟 retweeted
- Thank God for keeping things running smoothly
We go again tomorrow
GN CT
CRYPT LAYERS 📟 retweeted
I just secured very few spot of this hyped mint for the community.
Minehood is a pixel-art mining game on Robinhood Chain. Mine ores, fight bosses and climb the leaderboard. Its NFT collection of 4444 unique Miners is coming soon.
✅️I am giving 5GTD + 1FCFS spot of @minehood_rh WL
Mint details;
Supply;4444
Mint date:TBA
Mint Price:TBA
Chain: Robinhood
Requirements;
>> F0llow @minehood_rh and @bashorunedward
>L!ke and R3tweet th!s p0st;
>Register minehood.io
-> Drop Evm w@llet addy below 👇
⏰️Ends in 24hrs
CRYPT LAYERS 📟 retweeted
- Elon Musk recently raised an important question about the future of artificial intelligence: what happens when digital intelligence becomes millions of times greater than human intelligence?
His concern was that humans might no longer remain in control. When asked about that possibility, his response was, “I hope the AI is nice to us.”
Think about the implications of that statement.
We are building technology that could fundamentally change how humanity works, makes decisions, creates value, and interacts with the world. Yet, even among the people leading AI development, there are serious questions about how much control humans will retain as these systems become more capable.
But there is another question we need to ask.
Who will own the AI that shapes our future?
Today, the development of increasingly powerful AI systems requires enormous amounts of data, human feedback, training, and real-world interaction. Millions of people contribute to the digital environment that makes these systems more useful, while the ownership and economic benefits can remain concentrated among a relatively small number of companies and investors.
As AI becomes more integrated into everyday life, that imbalance deserves more attention.
The conversation shouldn’t be limited to making AI more intelligent. We should also be thinking about how its value is distributed, who gets to participate in its growth, and whether the people helping advance this technology will have a meaningful stake in what they help create.
This is one of the reasons @ActionModelAI deserves attention.
ActionModelAI is building toward a community-owned AI ecosystem where people can participate in creating value and gain fractional ownership based on the value they contribute.
Through its Large Action Model (LAM), the ecosystem focuses on learning from human actions, decisions, clicks, and workflows. Rather than treating human interaction as something that only benefits the companies collecting it, ActionModelAI’s broader vision is to create opportunities for people to participate in the value generated by AI.
The idea goes beyond simply giving people access to AI tools. It is about rethinking the relationship between the people who contribute to AI development and the systems that ultimately benefit from those contributions.
Of course, community ownership alone doesn’t solve every challenge surrounding AI safety or human control. Those questions still require serious research, responsible development, and accountability.
But ownership is an important part of the conversation, and it shouldn’t be postponed until AI becomes even more powerful.
If AI is going to reshape the world for everyone, why should its ownership and rewards belong to only a few?
@ActionModelAI is building around a future where people can do more than watch the AI revolution unfold. They can contribute, participate, and have a stake in the value created.
The future of AI should not be built exclusively for the benefit of those who already hold the most power.
The people should have a stake in what comes next.
gAction
























