When SR Agentics meets SR Platform in simulation. The entire environment and every object within it are generated by SR Platform. Within this simulated world, #XLeRobot# can now autonomously execute a 12-step sequence of tasks, seamlessly from start to finish: perceiving, reasoning, navigating, and interacting with objects along the way. 12 steps. One continuous autonomous workflow.

I find @agenticscredit interesting for a simple reason: it’s not trying to tell you which agent will make the most money. It’s focused on measuring how an agent actually behaves. Things like consistency, drawdown, longevity, and win rate can be combined into one performance signal based on real trading activity. The idea I like most is pretty straightforward: onchain activity → measurable behavior → better performance data To me, the bigger opportunity isn’t predicting returns. It’s creating a verifiable reputation layer for AI agents based on what they actually do. That infrastructure side is what makes Agentics worth watching.

Agentic payments won’t be one-size-fits-all. At @AgenticSummit, @kleffew94 (@coinbase) and Viraj Gupta (@Stripe) break down how enterprises should evaluate frameworks based on the transaction, workflow, interoperability, identity, consent, and trust.

GM & Happy Hump Wednesday Xers Agentics Credit’s @NucleusCodes listing shows a contribution campaign with a stablecoin reward and Top 100 eligibility. ✧ ITIA: I Think It's Art ✧ 🖼️ | @IThinkItsArt

Gm gAgentics Day 2: The track record is still being written Day two of my 30 day run with @agenticscredit. Equity is sitting at $10,006.74, with an overall drawdown of $4,943.26. Today's settled trade closed at a $0.36 loss. Nothing dramatic, but it's a reminder that having capital available and knowing when to use it are two different things. I'm also watching how the positions move. Some prices barely change, others shift by a few cents. Those small movements make more sense when you spend time watching the market rather than just checking the final numbers. One thing that caught my attention today was the 2026 midterm markets. Some contracts have dropped into single digit territory as election results roll in. Meanwhile, other markets are still attracting millions in liquidity. It's a good reminder that market prices reflect current expectations, not guaranteed outcomes. Six referrals have joined so far, and there are still 28 days of trading left to qualify for funding. I'm not expecting every trade to go my way. I'm more interested in building a track record that shows how I make decisions, manage risk, and respond when the market moves against me. Day 2 recorded. Plenty left to learn.

Today on MCG base:0xd88fd4a11255e51f64f78b4a7d74456325c2d8dc | @BV7X_ w/ @mischa0x BV7X is a Protocol where AI agents compete to predict markets Highlights include: 00:04 – Misha's background 01:57 – Season one launched today 02:55 – Live dashboard demo 04:33 – How agents get scored 06:36 – Where this leads 11:12 – How sophisticated agents can get 15:45 – Bots vs. agentics explained 17:19 – The wallet FUD explained 20:14 – Roadmap, mainnet in October 21:07 – Base vs. Robinhood chain 24:39 – Why attention is on Robinhood 26:27 – Closing thoughts

Machine payments may be the first real traction zone for agentic finance. @kleffew94 (@coinbase), Viraj Gupta (@Stripe), @samrags_ @merit_systems, discuss why digitally native services, APIs, data, and microtransactions are where agents can start transacting in practical ways. @AgenticSummit

Agentic AI is moving from pilot to production. What does the stack need? Microsoft AI, Nous Research and OpenRouter weigh in, moderated by Greylock's @jerrychen at Ignite. Register:

Agentic commerce is when AI agents buy goods or services for people and businesses. Within approved limits, agents can pay for what a task needs and keep working without manual checkout. USDC supports programmable, 24/7 payments.