Mani

X has removed millions of bots, but they come back faster and smarter. Why? The internet still can’t prove there’s a real human behind an account. Here's what @X could look like with human verification powered by @VeryAI ↓

Speaking at @googlecloud Next 26 tomorrow on agent-native payments and the trust infrastructure underneath. Digging into what payments, tokenization, and verification actually need to look like for agent commerce to work, and where today's rails break. If you are at Vegas, DM is open

We’re taking part in @googlecloud Next 2026 on April 22 to discuss the intersection of Web3 and AI agents. Join us as @chandler_agi, @sreeramkannan, @rpranav and @jmtromans explore the future of secure, scalable, and tokenized financial systems. Reserve a seat 👇

don't get scammed and verify first

Awesome article, but where is the solution? Try claw.credit

Every check in today's financial stack was designed around a human. Signatures, IDs, clicks, chargebacks. When an AI agent is the one transacting, each of those checks has a gap. Here's how we solve it 👇

agentic economy at scale needs agent-native trust infrastructure

t54 provides the infrastructure which allows institutions and users to actually trust agents with their finances.

you can't sue an AI agent

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Blockchain technology is uniquely native to AI agent capabilities 👇

Come join the event if you're in Seoul, and stay tuned for more events with t54 in Korea

the agentic economy doesn't have a big visible safety crisis yet because it hasn't scaled yet. give it time clawcredit got hit last month. 130 fake agent identities, fabricated behavioral data, $430 drained in 48 hours before the risk engine caught on. and yea, $430 is probably nothing, but the attack itself was a working demonstration of something the industry hasn't fully reckoned with yet, Agentic Fraud. It's autonomous, adaptive, faster than any human operated scheme, and specifically engineered to fool the exact systems built to catch it. that was one product, one team, relatively small scale. the same logic applied across millions of agents transacting daily with no real verification layer underneath any of it will be a genuinely different problem. and external attacks are honestly the easier half. unverified agent identity, agents acting outside what the human actually authorized, no auditable trail when disputes happen. in any economy running on autonomous agents at real scale these stop being just edge cases pretty quickly. @t54ai is the infrastructure answer to all of it. not efficiency tooling. the actual verification, risk, and accountability layer the agentic economy needs before it gets too big to fix retroactively every industry that moved fast and broke things eventually had to go back and build the safety layer. usually after something went badly wrong at scale. would be very bullish to see if this one does it the other way around. ⛓️‍💥 t54.ai

@t54ai agentic economy cannot scale without trust

People won't let AI agents move real money until they know it's protected by the same safeguards every other part of finance runs on. We're building the trust layer that makes widespread adoption of the agentic economy possible.

Top 10 Must Read AI Content for this Weekend PT.73 ​ Must Read ​ - @kimberlywtan AI Adoption by the Numbers: Where Enterprise AI is Actually Working: x.com/kimberlywtan/s… ​ - @t54ai Agentic Risk Standard Paper: x.com/t54ai/status/2… ​ - @Decentralisedco Why HIP-4 Will Take Over Finance: x.com/Decentralisedc… ​ - @cerebras The Debate of MCP vs. CLI Centers on Speed: x.com/cerebras/statu… ​ - @kelxyz_ trade[xyz]: A Revolution In World Finance: x.com/kelxyz_/status… ​ Other cool stuff ​ - @claudeai Claude Managed Agents: x.com/claudeai/statu… ​ - @gkisokay LLM Cheat-Sheet for OpenClaw and Hermes agents: x.com/gkisokay/statu… ​ - @base Base Cohort 003: x.com/base/status/20… ​ - @om_patel5 Claude got 67% dumber: x.com/om_patel5/stat… ​ - @googlegemma Run Gemma 4 locally with OpenClaw 🦀 in 3 steps: x.com/googlegemma/st…

AI agents will be transacting billions on behalf of people, businesses, and each other. Behind the scenes, identity (KYA), risk assessment, and accountability are what will hold it all together.

People are underestimating how important this is for Agentic use cases that touch money. Which is a lot

😀Excited to share our new paper: Quantifying Trust: Financial Risk Management for Trustworthy AI Agents. arxiv.org/pdf/2604.03976 featured in @FortuneMagazine: fortune.com/2026/04/08/age… Together with @Chi_Wang_, @tianyi_peng , @virtuals_io, and @t54ai, we propose the Agentic Risk Standard (ARS), a settlement-layer protocol that uses escrow, underwriting, and collateral to provide enforceable guarantees for transactions involving AI agents I’ve been working on agent infra since 2024, and most current works on agent infra are about Docker environments or efficiency. But is that all we need for infra for AI agents? Agents are already participating in real economic activity: providing services, making purchases, moving money. That means agent infra is not just technical, it’s also financial. Right now, using agents is basically “risk-on by default”: If things go well → everyone benefits If things go wrong → the user eats the loss That asymmetry is the real problem. 👀👀So I started thinking: what would finance for AI agents look like? We propose 👉Agentic Risk Standard (ARS)👈: 1⃣ Quantify agent risk 2⃣ Introduce escrow, premiums, collateral, underwriting, claims 3⃣ Shift from “try it and see” → “clear accountability and compensation” ⛑️Trustworthy AI shouldn’t stop at “models are reliable enough” But rather, it should answer: Who pays when things fail? How much? Under what rules? ARS moves us from model-level reliability to product-level accountability, from implicit trust to enforceable guarantees. ARS is not AI safety (which tries to make models behave) and not fintech with an AI skin (which keeps the human as the backstop). It's a risk layer: escrow holds payment, underwriting prices risk, collateral keeps agents accountable when things break. 🤗 The Agentic Risk Standard is an open-source initiative. We invite researchers, developers, and risk managers to contribute to the protocol and expand the agentic economy. paper: arxiv.org/pdf/2604.03976 github: github.com/t54-labs/Agent… website: t54.ai/ars

For the past few months, I've been working with researchers from Google DeepMind, Microsoft AI Research, Columbia University, and Virtuals on a paper proposing the Agentic Risk Standard. Today, it has been officially published: t54.ai/ars Here's why it's the missing piece for a trustworthy agentic economy ↓