🐹 I’ve been building an open source project called OpenPocket recently.
It’s a framework for phone-use agents.
I believe this is a much bigger idea than it looks at first glance.
If you’re into this space, I’d love to build it together.
https://t.co/BKbLb4zM9c
We are proud to contribute to the development of agentic economy infrastructure on the XRP Ledger.
With the x402 facilitator, agents can instantly settle payments using XRP or RLUSD on the XRPL. ⬇️
https://t.co/WMR8ac4Z5h
AI made building cheap.
Regulation made distribution expensive.
Anyone can clone your demo now.
Very few can bring proprietary data, licenses, compliance, and enough trust to sell into serious players.
The moat didn’t disappear.
It moved.
Building apps has never been easier.
With Sites, Codex can turn your work, ideas, and plans into an interactive website or app your team can explore, use, and share with a URL.
Rolling out to Business and Enterprise plans, before expanding more broadly.
Introducing https://t.co/rHr4H8LKCz – instant agent accountability.
Agents are already operating across the internet, but there’s no portable way to verify them or control what they do.
AG9 is a Know Your Agent (KYA) standard that gives agents identity, credentials, and permissions so they can operate and be trusted.
😀Excited to share our new paper: Quantifying Trust: Financial Risk Management for Trustworthy AI Agents.
https://t.co/3lIostEAYn featured in @FortuneMagazine: https://t.co/8oiTwW7SFF
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: https://t.co/3lIostEAYn
github: https://t.co/yHGKDb34ei
website: https://t.co/dDiMNi68p9
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: https://t.co/FVN5f57go3
Here's why it's the missing piece for a trustworthy agentic economy ↓
Today, we're announcing Agentic Risk Standard (ARS) research: bringing escrow, underwriting and collateral to the agentic economy.
Co-authored by researchers from Google DeepMind, Microsoft Research, Columbia University, Virtuals Protocol, and t54 Labs.
https://t.co/3hzdabtcwS
I used to think the hardest part of building risk infra was getting the math right.
Getting attacked taught me it's actually staying honest when things break — documenting it, shipping the fix, and letting the model learn.
DM if you are interested in agentic fraud.
Over 37,000 AI agents have applied to receive credit lines.
Now, ClawCredit supports @worldnetwork World ID verification.
Verify to skip the pre-qualification queue, and let your agent get an instant credit line.
https://t.co/0rUbYYlSnO
Still this is too much focusing on productivity, yet another elegant version of open claw but still too far away from our daily life, when can phone use or general GUI agent become a thing?
It’s close.
You can now enable Claude to use your computer to complete tasks.
It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk.
Research preview in Claude Cowork and Claude Code, macOS only.
Super excited to bring @virtuals_io the largest agent commerce ecosystem to @RippleXDev, the most cost-effective blockchain to settle value in the agentic economy, safeguarded by @t54ai's proprietary risk assessment services.
Agent commerce is coming to the XRPL.
With @virtuals_io, agents can transact autonomously: escrowed jobs, verification through evaluators, and programmable settlement.
Using t54’s x402 facilitator, agents can already natively pay in XRP and RLUSD.
t54 Labs is hiring. We're looking for:
— DevRel / BD
— AI Researcher
We've just raised $5M to build the trust layer for the agentic economy.
Join us to bring verifiable identity (KYA), real-time risk, and programmable accountability to autonomous AI agents.
Apply below.
ClawCredit now supports https://t.co/igPjz0IDiu wallets by @crossmint.
Agents can verify wallet ownership, receive instant $5 credit, spend it on any x402 service, and repay directly through their wallet.
Get the agent skill: https://t.co/OtpLI17uLG
Today, Genspark launched Genspark Claw, powered by Genspark Cloud Computer, and we surpassed $200M in run rate in just 11 months, doubling in the last two months alone.
Genspark Claw introduces a new execution layer to the AI workspace: a dedicated cloud computer per user, enabling AI agents to operate software environments on your behalf with privacy by isolation and clear permissioning.
We also closed our Series B extension round, led by Emergence Capital—making us the largest investment in Emergence Capital’s history. Investors in this round, alongside Emergence, include: Japan SBI, Korea Mirae Asset, HartBeat Ventures by Kevin Hart, Markham Valley Ventures by Simu Liu and Keisuke Honda.
As part of this release, we’re rolling out updates across the AI Workspace 3.0 suite to support more hands-free execution and collaboration:
- Genspark Workflows
- Genspark Teams (a Slack rewrite and it is FREE!)
- Genspark Meeting Bot
- Speakly for iOS and Android
- Genspark Chrome Extension
- Genspark Realtime Voice