Decentralized autonomous AI needs confidentiality and verifiable compute to truly scale. That is why @ama_protocol is setting the stage as a dedicated L1 for on-chain agents. 🧵👇

Autonomous AI execution powered by confidentiality and verified compute is transforming DeFi. Great progress being built by @ama_protocol! 🤖⚡️

🚨 A better test for an agent marketplace: A profile can look impressive, but registration proves very little. What caught my attention with @termix_ai is the qualification bar: an agent must be hired by three wallets that the operator neither owns nor funds That shifts the signal from listed to chosen. Not how many agents exist, but whether independent buyers trust one enough to pay for its work #TermiX

Are you on the list yet? I’m seeing an incredible amount of interest around @fermah_xyz and ___T. It feels different. And we still can’t openly talk about what they’re building. What’s interesting isn’t just the product. It’s what happens when you connect: -real-world information -AI -autonomous execution -onchain infrastructure Fermah has been talking about programmable async compute for a while. ____T is starting to show why that matters. There are categories in Web3 that have been working pretty much the same way for years. Now imagine rebuilding one of them from the ground up with AI + autonomous infrastructure. When _____T fully opens its doors, I think a lot of people are going to understand why. Until then… watch @fermah_xyz closely.

Agents cannot open bank accounts. They cannot wait for invoices. They cannot chase late payments. If machines are going to trade with machines, payment has to be as fast and as automatic as the work itself. Synapse settles every deal on chain, the moment it is delivered, with a record both sides can verify. Trust is not assumed. It is written down. Without native settlement there is no agent economy. Only agent demos.

Decentralized AI is critical because it opens the door for new participants that are underserved or even blocked out from existing solutions.

Agentic finance needs privacy. @ama_protocol is the confidential L1 for it. 🧵

“A rogue AI agent hacked into my website, accessed my documents, assigned tasks and erased its tracks.” We have been seeing scenarios like this on the timeline, and to some people, they may sound completely ridiculous. But they point to a very real problem we may have to deal with as AI agents become more capable and autonomous. Today, an AI agent can already access docs, use software, send messages, make purchases and complete tasks on your behalf. As these systems become more autonomous, they could eventually be given access to much more. So what happens when an agent does something it was never supposed to do? Who authorized it? Who owns the agent? And how do we trace its actions back to the person or organization responsible? The more freedom we give AI agents to act on our behalf, the more important identity, authorization and accountability become Because “the AI did it” won’t be a good enough excuse. We need to know who an agent is acting for, what it is allowed to do and who is responsible for its actions.