4 days left to join AIVM Genesis. Complete the campaign tasks, earn testnet points, and compete for a share of $2,000 in $CGPT rewards before the campaign closes. Join here: t.me/AIVMAirdropBot

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▮ problem AI agents more trusted. Autonomy more useful. The agentic economy actually deployable, and far less chaotic. ▮ execution AIVM doesn’t limit your agent. It gives it verifiable authority: ▸ assign identity ▸ define mandates ▸ check actions before execution ▸ record every decision, intent ↦ receipt Testnet waitlist is open: waitlist.aivm.io/

Everybody: Literally everybody: Every single soul on this earth:

gm from the agentverse say it back 👇

The Air Canada chatbot case is a preview of where AI liability is heading. The bot gave a customer the wrong policy. The customer relied on it. Air Canada tried to argue the chatbot was responsible for its own actions. The tribunal basically said: no, it’s your system. That’s what every company deploying agents needs to understand. Once AI starts answering, recommending, approving, refunding, booking, or executing on behalf of a business, the output is no longer “just a model response.” It becomes an operational decision. And operational decisions need rules, records, and accountability.

Reminder: AIVM Genesis 🚨 Complete the campaign tasks, earn testnet points, and compete for a share of $2,000 in $CGPT rewards as we prepare for the next phase of AIVM. Details below 👇

We had a great time at AI Salon Dubai 🇦🇪 We got to share the AIVM thesis with builders, teams, and investors thinking seriously about where AI goes next. The conversation is no longer just about better models. It is about trusted systems for agents that can act, transact, and operate in the real world.

The most useful AI agents won’t just hold wallets. They’ll need identity, mandates, spending limits, execution history, reputation, and proof of what they were allowed to do. Agents need economic profiles that can be verified, governed, and built over time.

We're having too much fun, so we had to do another! Tune in tomorrow as we join @Chain_GPT and @HeyElsaAI for another session of AI After Dark ⚡️ This time we're speaking about what it means to be an AI-native company and the risks that come with it. Details below 👇

13,000 people have signed up to the AIVM waitlist 🤯 That’s 13,000 people joining the mission to make autonomous agents safer, more accountable, and ready for real economic activity. Big thanks to everyone for signing up!

The machine economy is being built on a dangerous assumption: that an agent able to pay is an agent safe to pay through. For agentic commerce to scale, the payment layer needs four things it doesn't have today: → provable identity → spend limits the agent can't override → approved counterparties only → a receipt for every transaction These are the rails AIVM is building.

AIVM → Dubai was a massive success! 💎

Most of my team isn't human anymore... We're going LIVE in 30 minutes with @HeyElsaAI, @Minted_labs and @AIVM_Network to debate what a company built mostly on agents actually is, and where it breaks. 🕐 14:00 UTC 📅 Today, June 10th 📌 x.com/i/spaces/1XxyggZWlByGM…

Meet $CGPT, the token powering @Chain_GPT’s AI-focused Web3 ecosystem. From smart contract tools and AI agents to staking, governance and premium access, $CGPT sits at the center of a growing utility layer. $CGPT on ChangeNOW: bit.ly/4vAOiy0

This is the first real signal of agent spend becoming a live market. As agents begin paying for services, hiring other agents, and settling machine-to-machine work, this number will compound quickly. That is exactly why the agent economy needs a trust layer. Autonomous spending only scales if we can trust the agents doing the spending.

Agents will spend, trade, subscribe, pay for compute, call APIs, and coordinate across services. The hard part is making sure every action has identity, permission, verification, and accountability behind it. We’ll be unpacking this with @Chain_GPT and @SonicLabs 👇

Airbnb saying AI now writes 60% of its new code is a pretty clear signal. Enterprise AI adoption is moving from “assistive tool” to production workflow. But the faster AI starts shipping real code, the more important the trust layer becomes. - Who checks what the AI wrote? - Who verifies it follows the right constraints? - Who is accountable when it breaks?

New builder detected for @microdotfun We’re partnering with micro.fun, a gamified agent launchpad on Base. They will be joining the AIVM ecosystem as a testnet builder, turning AI agents from passive assets into autonomous, interactive systems. The builder ecosystem is growing.