Something is close, and it changes how you'll see all of this.
Better you hear it before the launch, not after. A net win for the community
So Exylos TGE is now June 11.
The next seven days are going to be worth following.
Sixty seconds of @vadcrypto , our CEO, walking through a Skill Pack live in the browser.
Camera feeds, depth, motion traces, and action labels, all inspectable - open one yourself in the link below.
Three days to TGE on @virtuals_io
Back again for Virtuals Weekly Episode 106!
➥ Going one hour earlier than normal, we've got a feast of teams presenting for you during episode 106!
➥ We'll have the @aya_avatar48 team joining us for an update on their progression since they launched in February.
➥ @exylos_ai delayed their launch by a week but are now good to go. We'll hear about their big launch which fits squarely within the @virtuals_io robotics meta.
➥ Another upcoming launch, not yet on the radar of many, will also join the show. @GoMintly would be one of the teams @everythingempty was thinking about when he said there's in the region of 20 teams waiting to launch on Virtuals. We'll of course try to bring you all of the best in that cohort.
➥ We'll obviously be taking a look at the charts which have taken a beating this week. That being said, there are some ecosystem gems still outperforming and we'll spotlight some of those.
➥ On top of all of that, we'll cover all the latest and trending news from the past week, including the launchpad with the upcoming launches being previewed as always.
↛. We go live at the below times. Set your reminders in the comments and we look forward to seeing you there;
Tuesday 7am Australia
Tuesday 5am Asia
Monday 9pm UTC
Monday 2pm Pacific Time
Lightwheel closed ~$100M in robotics data contracts in a single quarter. The robotics data market stopped being hypothetical.
Production-scale demand is real and needs supply that scales. Centralized data production caps out at payroll cost and geographic reach.
Exylos takes a different structural bet.
A global contributor network produces structured manipulation data, verified by Curators whose $EXY rewards depend on review accuracy.
Supply scales without the payroll ceiling, and quality is enforced through aligned incentives rather than central oversight.
Same market, different structure. Demand at the data layer flows onchain to network participants, instead of staying inside corporate margins.
$EXY TGE June 11.
Billions are flowing into physical AI, but the robots still can't tidy a room. There isn't enough high-quality training data to train them on.
Three approaches dominate for closing this gap, each with a trade-off:
→ Real-world teleoperation: high quality, hard to scale.
→ Pure simulation: cheap and clean, but often breaks in reality.
→ Egocentric video: abundant footage, slow cleanup.
@exylos_ai takes a fourth route: teleop-in-sim powered by a global contributor network.
Trainers play robot tasks inside EXYLOS software. Curators verify, simulation multiplies accepted signal. $EXY coordinates access, rewards, reputation, and quality.
Output is a high-quality Skill Pack robot teams can train on directly.
27k+ Hugging Face downloads on public samples show the demand is real.
Most AI tokens are just narratives.
$EXY is built on a live B2B data layer for robotics.
Here is a plain read on utility, value accrual, and holder mechanics. It breaks down how we use human-driven data and real customer cashflow to back the network, rather than relying on standard token-for-token utility.
Read the full article above ☝️
@xmercury_one It's the ultimate collision between digital scaling and physical reality. The friction with everyday life is going to be massive, but so is the payoff.
Quick note from the team on how this account got to 250k followers.
This account previously belonged to Boss Fighters, a Web3 VR game built and operated for years by members of the Exylos core team.
We rebranded rather than starting fresh because a meaningful share of that audience is VR-native, and VR is one of the modalities we use to capture human manipulation data.
Most of those 250k aren't active Exylos followers, and our post reach reflects that.
The real signal is not the follower number. It is the team’s experience building and operating real products, and what we are now delivering with Exylos.
The @FrameworkVC putting their thesis on the table publicly: the data layer for physical AI is the position to own.
Exylos is built on the same thesis with a different structure.
The supply comes from a coordinated network, not a centralized payroll, and the data is open: sample datasets are already live on Hugging Face for anyone to inspect.
The Framework call validates where the value sits. We're shipping the onchain version of it.
1/ Today in @FortuneMagazine:
Framework Ventures has led a $60 million raise for @MeckaAI, a robotics infra company building the data & deployment layer for physical AI.
Story by @bdanweiss. Full 🧵👇