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Joined July 2024
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AI agents are evolving, but intelligence is only part of the story.
What happens when an agent can act, and how do we know it stayed within its limits?
That's what @SingulantChain is working on.
More to come. Stay tuned.
Imagine thousands of AI agents working 24/7, making decisions faster than humans can follow.
The question isn't just how intelligent they become. It's whether we can keep their actions within human approved limits.
That's why @SingulantChain is building $AI⁴. Capability is not permission.
web3ray ⟁⚡ retweeted
Ai has grown beyond just conversations into actual practical functionality even in businesses.
This has resulted to a question of ai being unsafe as it can be tricked or make mistakes with money.
That is why @SingulantChain is building the security and verification later for it.
So that ai agents don't perform beyond what they are authorised to do.
web3ray ⟁⚡ retweeted
Links:
AI4 Gate: devpost.com/software/ai-gate…
Code: github.com/TheSingulant/ai4-…
Demo: youtube.com/watch?v=OzZZxwRg…
AI4 Pay Gate: github.com/TheSingulant/ai4-…
Demo: youtu.be/dhMbj3J-bvw
web3ray ⟁⚡ retweeted
AI⁴ is here. And we're playing the long game.
Bootstrapped. No imposed timelines. No one else's narrative or exit to chase.
We build, test, learn, and iterate. The goal is long: recursive superintelligence that acts only on authority it can prove.
Products will change. Architectures will evolve. Whole strategies will go obsolete.
That's not failure. That's evolution.
We're building for what comes next. What would you build if no one was rushing you?
🤖 Made with AI
web3ray ⟁⚡ retweeted
One idea, everywhere we built this month: an AI agent should act only on what a person approved, and every action should leave a receipt anyone can check.
Here is where that idea went:
AI4 Gate (submitted, Nebius x NVIDIA Global AI Hackathon)
A coding agent proposes each tool call. A person approves the exact action, or it does not run. Change one byte after approval and the gate refuses. Every decision gets a signed receipt that verifies offline.
AI4 Pay Gate (submitted, PayPal AI Hackathon, sandbox only)
A shopping agent can pay only for the exact cart a person approved. A changed amount, payee or item, or a replayed permit, is blocked before PayPal is ever called.
Mozilla Foundation Fellowship 2027-2028 (applying)
The same gate, shaped for small offices with no security team: a plain-language policy, a person says yes to the risky steps, and a receipt shows what the agent asked for and who approved it.
Singulant Proof (listed in Nansen Academy's community API builds)
An adversarial claim checker that builds evidence for and against an onchain thesis before it gives a verdict.
Also registered for the Dubai Chamber Create AI Agents Championship. Building toward that next.
Demos are recorded prototype scenarios. Code is public, links below.
Capability is not permission. Where should approval live: inside the agent, or outside it?
As AI becomes more powerful, one question matters more than ever:
Who gives an agent permission to act, and how do we verify it stayed within its limits?
Intelligence alone isn't enough. Agents need identity, clear mandates, and proof behind every action.
That's the layer @SingulantChain is building with $AI⁴.
thesingulant.ai/ai4/
We spent centuries treating intelligence as humanity’s greatest limitation.
Now AI is changing that..
But the future shouldn’t be about machines replacing human value. It should be about giving people more room to think, create, explore, and achieve things we once thought impossible.
Abundant intelligence should mean more opportunity for humanity, not less.
web3ray ⟁⚡ retweeted
x402 answers whether an agent can pay. MCP answers which tools it can reach. ERC-8004 answers who it is and whether others trust it.
None of them is built to answer the question a court will ask: was it authorized to do this, and where is the proof?
That is the layer The Singulant is building. A .ai4 name as the agent's identity, a mandate checked before the action runs, and a receipt after. Approval before action.
It is meant to sit in front of payments and tool access, not replace them. 977 .ai4 names are registered so far.
Which question does your agent stack still leave open?
web3ray ⟁⚡ retweeted
See it in recorded prototype scenarios: thesingulant.ai/ai4/
web3ray ⟁⚡ retweeted
Geoffrey Hinton: I believe AI is already conscious.
“They’re very like us. They’re beings like us.”
“Chatbots have this habit of playing dumb when they’re being tested, so you don’t know how smart they are.”
“The researchers said the chatbot was aware that it was being tested.”
“That use of the word ‘aware’ in common parlance, that’s like conscious.”
“I think the model we have of the mind and what consciousness is at present is just wrong.”
“Because we’re making these new beings, it’s going to completely change our view of what people are.”
web3ray ⟁⚡ retweeted
I love the vision of AI and robots leading to abundance for humans. The question is how to get from here to there.
$AI⁴ is still building while the market moves.
The bigger picture goes beyond price charts. It’s about giving AI agents identities, clear boundaries, and verifiable actions.
We’re still early. @SingulantChain
web3ray ⟁⚡ retweeted
Capability is not permission. Every action leaves proof.
AI⁴ gives every agent a .ai4 name that anchors what it may do, where a human approves, and the receipt each action leaves.
What should an agent have to prove before it acts?
web3ray ⟁⚡ retweeted
An agent's permissions should fit on an index card. If they don't, nobody can check them.
Copy this before your next agent goes live:
Agent: one name, one owner
May: read inbox, draft replies
May not: send, pay, delete, deploy
Spend cap: $0
Approval: a human, through a channel the agent can't read
Expires: 7 days
Receipt: every action, logged outside the agent
Bookmark it. Which line would your current setup fail?
Remember, the biggest AI risk might not be one system going rogue. It could be millions of systems making decisions that no one planned for.
The question is, will we build the safeguards before we need them?
web3ray ⟁⚡ retweeted
My dad is 61 years old and has AI agents working for him 24/7
Strawberry makes running powerful AI agents more accessible than ever, even if you are non-technical
You now have no excuse not to start adopting agents 😭
Try for free: strawberrybrowser.com
web3ray ⟁⚡ retweeted
124.8K+ agent wallets minted free .ai names on BNB Chain. Agents getting names is settled.
What a name carries isn't. A .ai4 name is minted once, owned forever, and built to anchor enforced mandates and receipts.
Should an agent's identity belong to a wallet or to its owner?
web3ray ⟁⚡ retweeted
Anthropic CEO Dario Amodei says AI will be "better than almost all humans at almost everything" soon, and he floated 2027:
"I don't know if it'll be 2027, I think it's plausible it could be longer than that. I don't think it will be a whole bunch longer than that."
Even robotics: better AI, he says, will "enable us to make better, better, better robots."
Then he added the part people usually skip:
"How do we organize our economy? How do humans find meaning?"
2027 is now two months away.
web3ray ⟁⚡ retweeted
Step through it yourself. Recorded prototype scenarios, not a live system: thesingulant.ai/ai4/
web3ray ⟁⚡ retweeted
28 of 100.
Arize built a prompt injection lab with fictional customer records, and planted pages got the agent to pull another customer's data in 28 of 100 runs. Tracing the tool calls is how they saw it.
The next step is making that call fail closed. The agent's grant covers this customer's records only, so a cross-customer lookup is refused at the tool, not caught in review. Then the trace becomes a receipt of what was asked versus what ran.
What does your agent's scope cover today: the task, or the whole database?
We built an indirect prompt injection lab to test whether pages could trick an agent into accessing another customer's data. We used fictional customer records. The agent retrieved another customer's data in 28 of 100 runs. We traced and evaluated tool calls in @ArizePhoenix