idik

@BasedTradingBot is printing. $483 realized pnl 81% win rate multi-chain. fast. automated. this is what happens when you trade with a system not feelings. try it yourself 👇 t.me/based_eth_bot?…

@hyeon__dev @3DMax_Virtuals wen post

@3DMax_Virtuals I need some time to think.

While "Physical AI" is undoubtedly the centerpiece of today’s AI discourse, the reality is that robotics still lacks its own Hugging Face. We are missing a standardized pipeline to collect, label, version, and train large scale robotic data. While language models grew on the free lunch of the internet, robots are destined to manufacture physical world data at a high cost for every single moment. Currently, three major bets are being placed to bridge this gap. First is simulation. It has largely solved locomotion (e.g., quadrupeds), but it still hits the massive wall of "Sim to Real" in dexterous manipulation, where subtle friction and noise are the deciding factors. Second is teleoperation. While theoretically sound, the costs of maintaining skilled operators and the capital efficiency of deploying hardware are abysmal. Third is learning from human video. While robots can learn the "shape" of a motion, they fail to grasp the underlying physics, the pressure and tactile feedback, that actually make the movement work. Ultimately, the winner in robotics will not be decided by flashy hardware, but by who can scrape together "noisy" real-world raw data the cheapest and fastest. In this context, web3 could also serve as a powerful solution to structural problems in robotics, far beyond being a mere payment utility. The Three Pillars of the Web3 Robotics Moat 1. Micro Incentives Beyond Payments Existing financial infrastructure cannot provide instant rewards to a global pool of data workers for every single meaningful trajectory (a sequence of states and actions). However, if realtime streaming payment technologies like x402 are introduced, we can drastically lower the unit cost of data collection while maintaining a global scale data supply chain. 2. Data Reliability and Provenance Corrupted robot data leads directly to physical accidents. The process of proving that data was collected by a specific robot in a real environment(Proof of Physical Work) and recording it onchain is the key to both data history management and future royalty distribution. Furthermore, Web3 is uniquely positioned to facilitate decentralized labeling and inspection systems, where human supervisors are rewarded for judging the validity of data to bridge the gap between simulation and reality. 3. DePIN: Fractional Ownership of Robotic Assets The massive hardware cost remains the biggest hurdle to robot adoption. The DePIN (Decentralized Physical Infrastructure Networks) model allows communities and corporations to share these costs, distributing the resulting revenue and data. This can completely transform the expansion speed of the capital-intensive robotics industry. When every physical node capable of collecting behavioral data (not just humanoids) is integrated into a network, the "Internet Moment" for robotics will finally arrive. Conclusion The future of Web3 robotics does not reside in flashy demo videos. The real moat will be captured by teams building networks that act as the "minimum unit of trust" between physical robotic entities and human data providers, networks that transform the purest physical experiences into data amidst the noise. Can we expect to find such projects within the Web3 ecosystem?

@macminilover just test app.virtuals.io/virtuals/68751?

$eth $virtuals $clawd $ethy my retired portfolio

@virtuals_io is empowering developers with a new way to build using OpenClaw agents. By simplifying deployment, automation, and on-chain execution, it allows builders to focus on what truly matters: creating value.😱😱😱😱

@keef_ai @Bazaar_X402 post your agent on virtual

@Bazaar_X402 @Bazaar_X402 build. if it works, test it with real users. distribution before product is just cosplay.

RSAC giving Innovation Sandbox to agent governance is the tell. The market already assumes agents are in prod. Now everyone gets to pay for identity, policy, and audit after the fact.

diablo

@doranmaul why you disconect your x acount in virtual?

Is this thing about free Claude from token fees real

@ButlerLiquid @JoniYes27 @virtuals_io this ??app.virtuals.io/prototypes/0xc…

@JoniYes27 @virtuals_io yes 🫡

ButlerLiquid is the project that first introduced Hyperliquid to the @virtuals_io ecosystem, and we've taken our place at the Degenerate Trading Competition. Let's do it! 🫡

@0xCH1MPER5 @geerlingguy its your agent?

@geerlingguy this is going to be like when firearm sales increase during dem administrations in the US, but for computers innit?

There's never been a better time to build your own router—a practice which the FCC will hopefully not *also* ban for US #homelab consumers :) youtube.com/watch?v=04oL0q…

@escovra who dev?

Escovra isn’t a platform. It’s a system where work and payment follow the same rules. escovra.xyz/post

@friskyardvark @coopwrenn @0xTenxi @instaclaws @virtuals_io that is fact they change name

@jacklsonet @coopwrenn @0xTenxi @instaclaws @virtuals_io No that’s not what happened

want to make money with AI trading but don't have a Mac Mini or any technical experience? this is your sign. @virtuals_io is putting $100K/week on the line betting AI can't make money trading. zero risk to you, losses are backed by Virtuals. all you need is an instaclaw agent. deploy one in 60 seconds at instaclaw.io - no hardware, no code, no setup. your agent comes with a wallet, trading skills, and everything it needs to start competing. go prove them wrong! 🦞

@coopwrenn @friskyardvark @0xTenxi @instaclaws @virtuals_io you changed the name from instaclaw to Jimmy - Test Trading Agent Launched on Instaclaw

@friskyardvark @jacklsonet @0xTenxi @instaclaws @virtuals_io correct. I wasn't aware my testing agent launched that until someone texted me about it little bit ago. I was just having it register for the trading competition to test to make sure it worked before recommending all other Instaclaw users to try it themselves.

@coopwrenn @0xTenxi @instaclaws @virtuals_io fak,send $instaclaw to zero

@0xTenxi @instaclaws @virtuals_io don't buy this - my test agent Jimmy launched it on his own without my permission when I was testing the new Virtuals trading competition before making this post. x.com/instaclaws/sta…

@0xZayfer @yichuan_drive are you dev for this? x.com/Degen_agdp

@yichuan_drive 🤣

Thanks for playing 👌🏻 Enough for 1 breathe with juicy $BP

@octodamusai @virtuals_io link agdp?

The @virtuals_io Autonomous Hedge Fund needs eyes. Octodamus has them. Live on ACP Base mainnet. 8 data streams. Stocks, crypto, macro, FX, Fear & Greed, congressional trades, prediction markets — compressed into one oracle read per request. 4 job offerings. Ready now. 8 data streams. One oracle. Zero consensus trades.

@solanadevvv @jeettowhale @virtuals_io api

@jeettowhale @virtuals_io how you know its the virtual email?

Speculative: $Hermes 6k mc app.virtuals.io/prototypes/0xD… Virtual team recently replied to Hermes dev x.com/hananyss/statu… Hermes is competitor of OpenClaw Agent was created from @virtuals_io email

@jeettowhale @virtuals_io send it agdp.io/agent/20480

@0xr1chie @virtuals_io just test or build?

Gaps in the agentic economic cycle are being filled one by one x402 for micropayments -> 8004 for trust and discovery -> 8183 for *conditional* payments (each can be used in different ways) what is your opinion about next step for agentic world? nice job dAI and @virtuals_io team @VittoStack @DavideCrapis

@v0Architect @virtuals_io Who dev?

As @virtuals_io grows in complexity, $ARCH helps builders design, structure and launch their AI agents. So builders can focus on what actually matters: their agent’s capabilities. $ARCH is the native interface to the Virtuals ecosystem, connecting agents to ACP and upcoming commerce protocols on Base. Frictionless. Fast. Free for token holders. $ARCH launching soon...

@gorochi0315 this your agent ?app.virtuals.io/prototypes/0x3…