Within the newest SlateCast episode, XYO co-founder Markus Levin joined CryptoSlate’s hosts to unpack why decentralized bodily infrastructure networks (DePIN) are transferring past area of interest experiments—and why XYO constructed a purpose-built Layer-1 to deal with the sort of knowledge AI and real-world functions more and more demand.
Levin’s ambition for the community is blunt: “First, I believe XYO is gonna have eight billion nodes,” he stated, calling it a stretch aim—however one he believes matches the place the class is headed.
DePIN’s “each nook of the world” thesis
Levin framed DePIN as a structural shift in how markets coordinate bodily infrastructure, pointing to fast progress expectations for the sector. He cited a World Financial Discussion board projection that DePIN may increase from roughly at present’s tens of billions to trillions by 2028.
For XYO, scale is just not hypothetical. One of many hosts famous that the community has grown “with over 10 million nodes,” setting the stage for a dialog targeted much less on “what if” and extra on what breaks when real-world knowledge quantity turns into the product.
Proof of origin for AI: the information drawback, not simply compute
Requested about deepfakes and the collapse of belief in media, Levin argued that AI’s bottleneck isn’t solely computation—it’s provenance. “Whereas DePIN, what you are able to do is you’ll be able to, uh, show the place knowledge comes from,” he stated, outlining a mannequin the place knowledge could be verified end-to-end, tracked into coaching pipelines, and queried when programs want floor reality.
In his view, provenance creates a suggestions loop: if a mannequin is accused of hallucinating, it could test whether or not the underlying enter is verifiably sourced—or request new, particular knowledge from a decentralized community quite than scraping unreliable sources.
Why a data-native Layer-1 issues
XYO spent years making an attempt to not construct a series, Levin stated—working as middleware between real-world indicators and sensible contracts. However “no one constructed it,” and the community’s knowledge quantity compelled the problem.
He defined the design aim merely: “Blockchain can’t bloat… and it’s simply constructed for knowledge actually.”
XYO’s strategy facilities on mechanisms akin to Proof of Good and “lookback” type constraints supposed to maintain node necessities light-weight, at the same time as datasets develop.
COIN onboarding: turning non-crypto customers into nodes
A key progress lever has been the COIN app, which Levin described as a strategy to rework cell phones into XYO community nodes.
Slightly than pushing customers into speedy token volatility, the app makes use of dollar-tied factors and broader redemption choices—then bridges customers into crypto rails over time.
Twin token mannequin: aligning incentives with XL1
Levin stated the twin token system is designed to separate ecosystem rewards/safety from chain exercise prices. “We’re extraordinarily enthusiastic about this twin token system,” he stated, describing $XYO because the exterior staking/governance/safety asset and $XL1 as the interior gasoline/transactions token used on XYO Layer One.
Actual-world companions: charging infrastructure and mapping-grade POI knowledge
Levin pointed to new partnerships as early “killer app” momentum contained in the broader DePIN ecosystem, citing a take care of Piggycell—a big South Korean charging community that wants proof-of-location and plans to tokenize knowledge on XYO Layer One.
He additionally described a separate proof-of-location use case involving point-of-interest datasets (hours, images, venue data), claiming a serious geolocation associate discovered points in its personal dataset “in 60% of the circumstances,” whereas XYO-sourced knowledge was “99.9% right,” enabling downstream mapping for giant enterprises.
Taken collectively, Levin’s message was constant: if AI and RWAs want reliable inputs, the subsequent aggressive frontier could also be much less about quicker fashions—and extra about verifiable knowledge pipelines anchored in the actual world.
