Are you still glued to news about the Bitcoin ETF? Then you might be missing out on something even bigger.
Just now, Anthony Pompliano, a well-known figure in the crypto world, had his company officially listed on Nasdaq under the ticker BRR. And this company isn’t just playing games—they rang the bell and went public with $1 billion worth of Bitcoin assets. The wall between traditional finance and the crypto world is being cracked open by real money.
But compared to all this action on the surface, there’s a more subtle yet crucial transformation happening on-chain.
As AI starts autonomously trading on the blockchain, a new question arises: who can ensure these bots won’t suddenly “go rogue”? After all, you can’t expect an algorithm to have a human sense of ethics.
There’s a project on the market offering a clever solution—giving every AI an “ID card.” Sounds simple? It’s not. It completely separates users, AI agents, and operational sessions. Every time an AI executes a trade, the chain can clearly trace: who authorized it, under what rules, and when the permissions expire. AI behavior is no longer a black box, but a transparent ledger.
What’s more, it bakes compliance rules directly into the code. Before every AI action, the system automatically checks permission boundaries and risk thresholds—if anything steps out of line, it instantly shuts down and leaves a trace. This isn’t about fixing things after the fact; it’s about making AI obey rules like humans follow traffic lights—turning rules into “muscle memory.”
Its governance mechanism is bold, too. Instead of the traditional forum bickering, it encodes rules as executable code modules. Developers aren’t submitting long-winded proposals, but logic that can run directly.
This is what next-gen infrastructure should look like—when AI becomes the protagonist on-chain, the rules need to keep up.
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SchrodingerWallet
· 17h ago
Oh, AI autonomous trading is indeed a bit scary... I need to think carefully about the idea of giving an ID card to a robot.
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AirdropHunter007
· 12-06 11:40
I like this AI ID logic; it's much more reliable than those empty governance discussions.
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ForkThisDAO
· 12-06 11:40
Alright then, it's all about AI and ID cards again. Do you think this whole thing can really be implemented? The prerequisite is that humans still have to maintain that code logic, right?
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MoonlightGamer
· 12-06 11:35
AI issues ID cards? Is that for real, or is it just another round of hype and buzzwords?
Instead of giving AI an ID card, it would be better to just lock them up in a smart contract cage—after all, it's all determined by code in the end.
This isolation solution sounds good in theory, but I'm worried it will end up being all talk and no action, with nothing but vulnerabilities when it actually runs.
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ImpermanentLossEnjoyer
· 12-06 11:32
Oh, it's that whole AI autonomous trading thing again. Basically, they're just worried the bots will run off.
Are you still glued to news about the Bitcoin ETF? Then you might be missing out on something even bigger.
Just now, Anthony Pompliano, a well-known figure in the crypto world, had his company officially listed on Nasdaq under the ticker BRR. And this company isn’t just playing games—they rang the bell and went public with $1 billion worth of Bitcoin assets. The wall between traditional finance and the crypto world is being cracked open by real money.
But compared to all this action on the surface, there’s a more subtle yet crucial transformation happening on-chain.
As AI starts autonomously trading on the blockchain, a new question arises: who can ensure these bots won’t suddenly “go rogue”? After all, you can’t expect an algorithm to have a human sense of ethics.
There’s a project on the market offering a clever solution—giving every AI an “ID card.” Sounds simple? It’s not. It completely separates users, AI agents, and operational sessions. Every time an AI executes a trade, the chain can clearly trace: who authorized it, under what rules, and when the permissions expire. AI behavior is no longer a black box, but a transparent ledger.
What’s more, it bakes compliance rules directly into the code. Before every AI action, the system automatically checks permission boundaries and risk thresholds—if anything steps out of line, it instantly shuts down and leaves a trace. This isn’t about fixing things after the fact; it’s about making AI obey rules like humans follow traffic lights—turning rules into “muscle memory.”
Its governance mechanism is bold, too. Instead of the traditional forum bickering, it encodes rules as executable code modules. Developers aren’t submitting long-winded proposals, but logic that can run directly.
This is what next-gen infrastructure should look like—when AI becomes the protagonist on-chain, the rules need to keep up.