Anne Lisa

Tato separace mezi používáním a bezpečností je klíčová, pokud chce Plasma rozšířit své možnosti mimo kryptonativy. Firmy nechtějí spekulovat jen proto, aby se mohly zúčastnit. Plasma je o to nežádá.

Co dělá tento narativ přesvědčivým, je to, že se shoduje s širšími trendy mimo kryptoměny. Regulátoři věnují stabilním mincím větší pozornost. Podniky experimentují opatrně. Platební společnosti zkoumají on-chain vyrovnání, aniž by chtěly znovu vynalézat celý svůj rámec rizik. V tomto prostředí bude další vlna adopce pravděpodobně řízena nikoli humbukem nebo novinkami. Bude řízena systémy, které vypadají nudně, spolehlivě a snadno se integrují.

Most coverage of Vanar focuses on AI, memory, and data compression. But there is a quieter design choice that reveals what the team actually expects Vanar to be used for at scale: economic predictability. This is a new and under-discussed narrative, and it matters because intelligent systems don’t behave like humans. AI agents, automated finance, and machine-driven workflows cannot tolerate the kind of fee volatility that most blockchains accept as normal.

Traditional blockchains use auction-style gas markets. Fees rise when demand spikes and fall when activity cools. This works for human users who can wait, retry, or manually adjust settings. It does not work for autonomous systems. An AI agent executing payments, reallocating capital, or triggering contractual actions cannot pause because gas suddenly went 10× higher. From the perspective of machine-driven software, unpredictable fees are not just inconvenient — they are a design failure.

This is where Vanar Chain quietly takes a different path. Instead of letting fees float purely based on congestion, Vanar uses a USD-referenced fee model, where transaction costs are stabilized in fiat terms and updated via oracle-based price inputs. The goal is simple: the economic cost of an action stays roughly the same over time, regardless of token price volatility. This design choice is rarely celebrated, but it is foundational if Vanar expects AI agents and automated workflows to run continuously on-chain.

This approach changes how developers think about building. On most chains, developers must engineer around fee spikes — batching transactions, introducing off-chain logic, or throttling execution during congestion. On Vanar, the assumption is different: fees are treated as infrastructure constants, not market variables. That allows developers to design systems where costs can be modeled, forecasted, and audited in advance. For financial automation, PayFi, and enterprise integrations, that predictability is often more important than raw throughput.

The economic model also reshapes user psychology. When costs are predictable, users stop thinking about “timing the network” and start focusing on utility. This is closer to how cloud infrastructure works in the real world. Companies don’t deploy software wondering whether server prices will spike randomly tomorrow. They budget. Vanar’s fee logic suggests it is trying to make blockchain behave less like a speculative marketplace and more like dependable infrastructure.

This design choice aligns tightly with Vanar’s broader architecture. AI-native storage, reasoning layers, and persistent data only make sense if the base layer is stable. An AI system that relies on on-chain memory cannot function if the cost of accessing that memory fluctuates wildly. In that sense, Vanar’s fixed-fee philosophy is not a side feature — it is a prerequisite for everything else the chain claims to support.

There is also an important governance implication. When fees are stabilized, validator incentives must be carefully managed to ensure network security without relying on fee spikes during congestion. This pushes the chain toward long-term sustainability models rather than short-term extraction. It also reinforces why Vanar pairs predictable fees with a more controlled validator onboarding process: stability at the economic layer demands stability at the consensus layer.

From a token perspective, this reframes how VANRY should be evaluated. Instead of being purely a speculative asset tied to hype cycles, VANRY becomes a pricing unit for services — storage, execution, AI workflows, and automation. Its value proposition shifts toward usage consistency rather than transaction gambling. This does not guarantee price appreciation, but it does create a clearer link between network activity and token relevance.

The broader takeaway is that Vanar appears to be designing for a future where software, not humans, is the primary on-chain actor. AI agents don’t chase yield, don’t speculate on gas fees, and don’t wait for off-peak hours.
They need reliability, cost certainty, and continuous execution. Vanar’s economic model quietly acknowledges that reality.

So the new narrative is not just that Vanar is an AI chain or a memory chain. It is that Vanar is engineering blockchain economics for autonomous systems, not speculative users. If the next phase of Web3 is defined by machine-driven activity rather than manual interaction, then predictable fees may end up being one of the most important — and least flashy — innovations in the entire stack.

$VANRY

#Vanar

@Vanar

When most people think about blockchain tokens, they think about price pumps, token burns, or speculative markets. With Dusk Network, however, the economics of the native token DUSK are structured around real network usage and growing demand from regulated, financial applications — not just price speculation.

At its core, the DUSK token has multiple roles beyond gas fees. It is used to pay transaction fees, secure the network via staking, and participate in governance. These are common functions for many tokens, but in Dusk, they directly tie to the real workload of regulated asset activity on-chain. This means that as more financial instruments are issued and traded on Dusk, the demand for DUSK rises because every compliance check, every proof generation, and every settlement consumes network resources. This creates a demand cycle grounded in actual usage, not just market interest.

Staking is one major piece of this equation. DUSK holders can stake their tokens to become validators or support the consensus mechanism, earning rewards in the process. Validators are essential for maintaining decentralization and security, and as the network grows with institutional activity and real-world asset issuance, the incentive to stake increases. Large amounts of staked tokens mean fewer tokens are in circulation, which can influence market dynamics over time as demand for staking grows alongside network usage.

Dusk’s governance model also factors into this economic ecosystem. Token holders are given a say in the evolution of the protocol. As the network matures and more real-world financial use cases emerge, governance decisions become increasingly valuable — from upgrades to compliance mechanisms, to how privacy features are balanced with regulatory auditing requirements. Giving token holders a voice aligns long-term economic incentives with the network’s growth as a platform for regulated finance.

A deeper narrative emerges when you consider how Dusk’s demand mechanisms differ from typical token burn models (e.g., buybacks or fees that are destroyed). In many chains, token scarcity is artificially engineered through burns to drive price. On Dusk, scarcity grows as a byproduct of real usage: tokens are locked in staking, consumed for transaction execution, and engaged in governance. The more regulated financial workflows that run on Dusk, the more demand there is for DUSK. That creates a self-reinforcing economic model where growth in institutional and real-world asset activity naturally increases the token’s utility.

This model is supported by the network’s architectural evolution as well. Dusk is progressing toward a modular stack with separate consensus/data-availability layers and execution environments, which smooths integration with external systems and improves developer access. These architectural improvements make it easier for real financial applications to integrate with Dusk’s privacy and compliance primitives. As more applications launch on top of this infrastructure, the token’s utility — and thus implicit demand — continues to expand.

In many ways, Dusk’s tokenomics ties the success of DUSK not to hype or quick price moves, but to how widely the network is used to support regulated, real-world financial activity. Tokens fuel every aspect of the ecosystem that matters for actual economic work — from validator incentives to compliance execution, to governance participation. As adoption deepens, the economics underpinning Dusk shift from speculative interest to user-driven demand and real workload consumption.

This economic design reflects a larger vision: a blockchain where growth is tied to usefulness, not just speculation. In a world where real-world assets and financial markets increasingly seek blockchain solutions that balance privacy, compliance, and performance, Dusk’s tokenomics is positioned to thrive because its demand is built on genuine network utility.

#dusk $DUSK @Dusk_Foundation

Most decentralized networks are strongest on day one. Power is distributed, participants are diverse, and no single actor dominates. The real challenge begins later, when the network grows, usage increases, and economic incentives quietly push the system toward centralization. Large operators accumulate more stake, infrastructure consolidates, and decision-making slowly narrows. Walrus is interesting because it explicitly treats this outcome as a design problem rather than an unavoidable side effect of growth.

In many blockchain and storage networks, decentralization is measured statically. If there are many nodes today, the system is called decentralized. Walrus takes a dynamic view instead. It asks whether the system will remain decentralized as incentives compound over time. This question matters because storage networks are long-lived by nature. Data is not stored for days or weeks, but for years. If governance and power drift toward a small set of operators, censorship risk, pricing power, and fragility increase even if the system started out healthy.

Walrus addresses this by separating stake size from network influence. Instead of allowing the largest operators to dominate simply because they control more capital, Walrus ties rewards and participation more tightly to verifiable performance. Nodes are evaluated on uptime, reliability, and honest behavior rather than raw scale. A smaller operator that performs consistently can remain competitive with larger ones, which reduces the incentive to centralize infrastructure just to gain influence.

Another important aspect of this design is how stake moves through the system. In many networks, stake can be rapidly reallocated to coordinate influence during critical moments, such as governance votes or protocol upgrades. Walrus introduces friction around stake movement so that power cannot be quickly concentrated when it matters most. This makes short-term manipulation expensive and discourages coordinated takeovers that exploit timing rather than long-term contribution.

What makes this approach notable is that decentralization is enforced economically rather than socially. There is no expectation that participants will act altruistically or value decentralization for ideological reasons. Instead, the system makes decentralization the most rational long-term strategy for participants. Hoarding power becomes costly, while steady, honest operation becomes profitable. This shifts decentralization from a moral goal into a structural outcome.

From a governance perspective, this matters because storage networks are particularly vulnerable to silent centralization. Users often do not notice when storage providers consolidate, because data remains available and performance appears stable. The risks only surface later, when pricing changes, access is restricted, or data becomes subject to external pressure. By designing against concentration early, Walrus reduces the likelihood that these failures emerge years down the line.

This design philosophy also affects how builders and institutions evaluate risk. A storage layer that looks decentralized today but trends toward centralization tomorrow introduces long-term uncertainty. Walrus attempts to reduce that uncertainty by making decentralization part of its maintenance costs. Power does not naturally accumulate; it must be continuously earned through behavior. That makes the network more predictable for applications that depend on it for critical data.

Over time, this could become one of Walrus’s most important contributions to Web3 infrastructure. Many decentralized systems succeed technically but fail socially and economically as they scale. Walrus treats scale itself as a threat vector and designs around it. If successful, it demonstrates that decentralization is not something you launch once, but something you continuously defend through incentives, constraints, and careful system design.

In that sense, Walrus is not just a storage protocol.
It is an experiment in whether decentralized infrastructure can resist the same gravitational forces that centralized systems inevitably fall into. If it succeeds, it offers a blueprint for how future networks can grow without quietly giving up the very properties that made them valuable in the first place.
$WAL
#walrus @WalrusProtocol

The most overlooked shift in crypto right now isn’t technological — it’s behavioral. Stablecoins are no longer just tools for traders and DeFi users. They are being used by businesses, payment processors, fintech platforms, and increasingly, institutions that care about predictability, compliance, and operational clarity. This is where Plasma’s trajectory starts to look different when viewed through a new lens. Not as a faster blockchain, but as infrastructure preparing for a more regulated and institutional phase of stablecoin adoption.

At its foundation, Plasma was designed around the reality that stablecoins behave more like financial instruments than crypto assets. That distinction matters. Institutions don’t want exposure to volatile gas tokens, unpredictable execution costs, or networks whose performance changes depending on speculative demand. Plasma’s architecture — stablecoin-centric fees, deterministic finality, and separation between user transactions and network security — aligns far more closely with how traditional financial systems think about risk and settlement.

A particularly important signal is how Plasma treats transaction abstraction and payment simplicity. By allowing stablecoin-native interactions and reducing dependency on XPL for day-to-day usage, Plasma removes one of the biggest frictions for enterprise adoption: forced exposure to price volatility. For a treasury, payroll system, or remittance provider, that design choice isn’t a convenience — it’s a requirement. Plasma is effectively acknowledging that the future stablecoin user may never want to “be in crypto” at all.

Another emerging narrative is Plasma’s positioning around interoperability as policy, not as a feature. Rather than framing cross-chain connectivity as a DeFi enhancement, Plasma treats it as a necessity for global dollar liquidity. Stablecoins already operate across jurisdictions, chains, and platforms. Plasma’s role is not to trap that liquidity, but to coordinate it. This makes Plasma less of a destination chain and more of a settlement and routing layer, a role that becomes increasingly valuable as regulation pushes activity toward fewer, more compliant rails.

From an institutional perspective, Plasma’s emphasis on predictable execution and high availability is more meaningful than raw throughput numbers. Sub-second finality matters because it reduces counterparty risk. Consistent fees matter because they allow cost modeling. Network stability matters because downtime in payments infrastructure is unacceptable. Plasma’s technical choices reflect an understanding of these constraints — constraints that most consumer-oriented chains never had to care about.

XPL’s role also looks different through this lens. Rather than acting as a speculative growth engine, XPL functions as a governance and security primitive. It aligns validators, anchors economic security, and governs protocol evolution. This is closer to how infrastructure tokens function in mature systems — quietly critical, but not constantly circulating through consumer hands. That framing may limit short-term hype, but it increases long-term credibility.

What makes this narrative compelling is that it doesn’t depend on future breakthroughs. The regulatory environment around stablecoins is tightening globally. Institutions are entering cautiously, not experimentally. Payments are moving onchain whether crypto culture likes it or not. Plasma appears to be building for that world — one where blockchains are judged less by innovation speed and more by reliability, clarity, and integration with existing financial workflows.

Stepping back, Plasma’s real bet is not that stablecoins will grow — that has already happened. The bet is that the next phase of growth will favor chains that look boring, predictable, and structurally sound. In other words, chains that resemble infrastructure more than platforms. If stablecoins are becoming digital dollars, then the networks supporting them must start behaving like financial rails, not experimental labs.
In that context, Plasma feels less like a speculative Layer-1 and more like an attempt to future-proof stablecoin settlement for the world that’s coming next — a world where onchain money needs to work quietly, consistently, and under scrutiny.

#Plasma

@Plasma
$XPL

Most discussions around Vanar focus on AI, memory, and data compression. That’s understandable — those are the loud, visible innovations. But a quieter and arguably more important narrative is forming underneath: Vanar is deliberately designing its governance and validator structure for real-world reliability, not crypto ideology. This choice reveals who Vanar is actually building for and why its architecture looks the way it does.

At the protocol level, Vanar Chain does not chase immediate, permissionless decentralization. Instead, it starts with a reputation-based validator system, closer to a Proof-of-Authority model with gradual expansion. Validators are introduced based on credibility, operational reliability, and accountability rather than anonymous capital alone. In practical terms, this means the network optimizes for uptime, predictable performance, and compliance readiness — three things most Layer-1s quietly struggle with when moving from theory to production use.

This design choice makes more sense when you look at Vanar’s target users. PayFi, tokenized real-world assets, enterprise workflows, and regulated environments don’t just need censorship resistance — they need clear accountability. If something breaks, institutions need to know who maintains the infrastructure, how disputes are resolved, and whether the system can meet service-level expectations. Vanar’s validator philosophy reflects that reality. It is not rejecting decentralization; it is sequencing it.

Another underexplored angle is governance pacing. Many chains decentralize governance too early, handing complex protocol decisions to fragmented token holders before the network has real usage. Vanar appears to be doing the opposite: central coordination first, followed by gradual on-chain governance expansion as real economic activity grows. This mirrors how critical infrastructure evolves in traditional systems — stability first, democratization second. For a chain aiming to host AI-driven financial logic and persistent data, that ordering matters.

This governance structure also influences how the token behaves. The role of VANRY is not framed purely as a speculative governance chip. Instead, it is increasingly tied to network participation, service usage, and validator economics. As more AI tools, storage services, and automated workflows become fee-bearing, VANRY’s relevance shifts toward measurable utility rather than narrative-driven hype. This is a subtle but meaningful departure from many AI-branded crypto projects that struggle to link token demand with actual usage.

There is also a strategic signal here about Vanar’s long-term positioning. By prioritizing reliability and governance clarity, Vanar places itself closer to infrastructure chains than experimental platforms. It is building something meant to sit quietly underneath applications, agents, and workflows — not something that needs constant reinvention or aggressive incentives to stay relevant. If AI agents and automated finance truly become persistent systems, they will gravitate toward chains that don’t break, don’t fork unpredictably, and don’t change rules overnight.

Seen through this lens, Vanar’s architecture stops looking conservative and starts looking intentional. The AI layers, semantic storage, and reasoning engines are powerful — but they only matter if the base chain is dependable enough to run them at scale. Vanar’s validator and governance model is an admission that infrastructure credibility is earned, not marketed.

The new narrative, then, is not that Vanar is “an AI blockchain.” It’s that Vanar is engineering trust, predictability, and governance discipline for an AI-driven world. If Web3 is moving from experiments to systems that actually manage value, memory, and automated decisions, those traits may end up being more valuable than raw innovation alone.

$VANRY

#vanar @Vanar

If Dusk can successfully demonstrate that regulated financial operators can issue, trade, and settle real-world assets on its chain while satisfying legal requirements, it could open the door for institutional onboarding at scale, something few other chains have managed to achieve.

In summary, the evolving narrative around Dusk is not just about privacy tech — it’s about a practical, regulatory-compliant financial infrastructure that could finally make blockchain useful for institutions that have so far stayed on the sidelines. By marrying confidentiality, auditability, and global regulatory alignment, Dusk is positioning itself as one of the rare blockchains ready for real-world, real-money usage.

#dusk

$DUSK @Dusk_Foundation

By building privacy control into the structure of decentralized storage itself, Walrus is not only solving the age-old Web3 problem of securely storing data off-chain. It’s actively enabling a future where sensitive protocols, enterprise platforms, and privacy-intensive applications can operate with decentralized efficiency without sacrificing control. In that future, decentralized systems won’t just store data — they’ll protect it in ways that align with both human expectations and real-world regulatory demands.

$WAL

#walrus @WalrusProtocol

Od svého debutu na hlavní síti 27. března 2025 se Walrus vyvinul z nadějné decentralizované úložné sítě v centrální pilíř ekosystému Sui a širší infrastruktury Web3. Počáteční spuštění odemklo programovatelné úložiště a představilo nativní token WAL, což umožnilo vývojářům a uživatelům nejen ukládat data decentralizovaným způsobem, ale také vytvářet logiku kolem těchto dat, čímž se stává aktivním zdrojem spíše než statickým archivem. Tato přeměna znamená ambiciózní posun: Walrus již není jen vrstvou úložiště; stává se základní datovou vrstvou propletenou do skutečných aplikací a vznikajících nových trhů.

In the evolving world of blockchain, most projects talk about finance in general terms — DeFi, token swaps, and yield farming. What makes Dusk Network distinct today is that it is actively building the infrastructure needed to connect traditional regulated financial markets with decentralized ecosystems in a compliant, secure, and data-rich way.

A major step in that direction was announced in late 2025, when Dusk partnered with the regulated Dutch stock exchange NPEX and Chainlink Labs to adopt advanced interoperability and data standards. This collaboration is not about marketing or logos — it is about engineering real institutional connectivity using protocols like Chainlink’s Cross-Chain Interoperability Protocol (CCIP), Cross-Chain Token (CCT) standards, DataLink, and Data Streams.

Bringing Regulated Securities On-Chain

What this partnership enables is significant: tokenized securities issued by a regulated exchange can now be moved across blockchain environments while maintaining compliance. NPEX, which operates under strict oversight from Dutch regulators, brings real financial instruments — shares and bonds — into an on-chain format that can be traded, settled, and composably used in decentralized applications. By adopting Chainlink’s CCIP and CCT standards, Dusk and NPEX are creating a bridge between the regulated market’s order books and multi-chain liquidity pools.

This is more than theoretical. Initial phases of the project target over €200 million in regulated European securities, making them accessible on Dusk while preserving rules around compliance and investor protections. These tokenized assets can then flow to other networks through CCIP, expanding their reach into broader DeFi ecosystems without losing the legal constraints that make them compliant in the first place.

Verified Market Data, Not Just Tokens

Another innovation from this partnership is how market data is handled. Real financial markets depend on accurate, timely price feeds — and usually that data lives off-chain, controlled by exchanges or data providers. Dusk and NPEX are adopting Chainlink’s DataLink and Data Stream products to publish verified exchange data on-chain. This means the blockchain itself becomes a data publisher of regulatory-grade trade and price information, enabling smart contracts and applications to access real, authenticated market data without intermediaries.

This is a crucial piece of institutional infrastructure. In regulated trading environments — whether equities, bonds, or funds — even small discrepancies in prices can destroy trust or trigger compliance issues. By feeding low-latency, high-integrity data directly into on-chain systems, Dusk is laying the groundwork for real-world financial logic to operate natively on a blockchain.

Cross-Chain Movement Without Losing Compliance

A common problem with tokenized assets today is fragmentation: once an asset is on one blockchain, its utility is limited. With CCIP and CCT, Dusk enables secure, compliant transfer of tokenized securities and the native DUSK token across different chains like Ethereum and Solana. Crucially, these movements preserve the compliance characteristics required by regulators and issuers, so assets don’t lose their legal properties simply because they moved networks.

This kind of cross-chain interoperability is rare and technically complex. Most ecosystems either rely on liquidity pools or bridged assets that introduce trust assumptions. Dusk’s integration uses a burn/mint model, which eliminates reliance on third-party liquidity and minimizes slippage, enabling efficient and precise asset movements.

Implications for Institutional Adoption

All of these developments reflect a shift in Dusk’s narrative: from a privacy-focused blockchain to a core infrastructure for regulated finance on-chain. Rather than being speculation-centric, the network now has tangible ties to regulated markets, real financial instruments, and institutional workflows.
This shift is significant because it addresses a long-standing challenge in blockchain: how to bring regulated value — stocks, bonds, funds, and securities — into decentralized systems without compromising legal requirements or exposing sensitive data. Dusk’s model shows that privacy, compliance, interoperability, and institutional readiness can coexist in a single platform.

At the same time, the project is advancing its own core technology, with ongoing upgrades to its core settlement layer (DuskDS) and active work toward its DuskEVM execution environment. These technical foundations ensure that as regulated assets and data begin flowing on-chain, the network can support higher throughput, broader developer participation, and a smoother user experience.

Conclusion

Dusk Network’s recent developments signal a pivot from theoretical privacy solutions to practical integration with real regulated markets. By enabling compliant tokenization of securities, on-chain publication of verified market data, and cross-chain asset interoperability with preserved legal attributes, Dusk is positioning itself as one of the few blockchain infrastructures capable of serving institutional finance.

If these integrations scale, the result could be a world where regulated assets are not just traded off-chain or through custodians, but directly composable in decentralized systems — all while maintaining the legal and compliance framework financial markets require.

#Dusk $DUSK @Dusk_Foundation

In 2026, Vanar Chain isn’t just talking about AI and blockchain it’s turning that combination into actual technology, products, and real economic activity. Unlike many projects that add “AI” as a buzzword, the Vanar team has operationalized its multi-layer stack, meaning what was once theoretical is now deployed and in use. This places Vanar at a new narrative frontier: AI-native infrastructure that is already powering tangible workflows instead of waiting on future upgrades.

A key development underlying this shift is Vanar’s layered architecture, specifically its semantic memory layer (Neutron) and AI reasoning engine (Kayon), which are live and generating utility today. Neutron turns large files into ultra-light, fully verifiable on-chain “Seeds,” enabling persistent, structured data that AI agents and decentralized apps can query and reason about directly on the blockchain. Kayon then allows natural-language queries and enterprise-grade contextual insights — essentially letting developers and users ask the blockchain intelligible questions and get interpretable answers on-chain. This level of reasoning and explorable data is a major step beyond conventional smart contracts.

This year marks a practical transition toward monetized AI tool usage: Vanar is introducing subscription-based access to premium tools like Neutron and Kayon using the native token $VANRY . By making AI usage fee-bearing and measurable on-chain, Vanar creates a direct link between real network utilization and token demand, potentially tightening the feedback loop between ecosystem activity and $VANRY ’s economic relevance.

Another major evolution is Vanar’s expansion into cross-chain functionality, beginning with integrations such as deployment on Base, which broadens accessibility beyond its native network. Cross-chain support is strategically important not just for liquidity or user growth, but because AI agents and intelligent applications increasingly need to operate seamlessly across multiple networks and data sources to be truly effective.

Crucially, industry observers are beginning to reframe the competitive battleground: instead of TPS or fee wars dominating utility narratives, the real frontier is now memory, context, and reasoning. Vanar intentionally emphasizes the “intelligence layer” — persistent, structured, and usable data — as the foundation for next-gen agents and automated workflows. This philosophical shift isn’t just marketing; it reflects a deeper architectural belief that future decentralized systems must store, retrieve, and understand data as fundamental primitives, not afterthoughts.

Finally, while price metrics still show volatility and a lower dollar value compared with past peaks, the chain’s active toolset and growing use cases suggest $VANRY ’s utility is increasingly tied to network activity rather than sheer speculation — a critical factor for long-term sustainability in the evolving Web3 landscape.

In summary, Vanar’s 2026 narrative isn’t just “AI on blockchain” anymore it’s practical AI memory and reasoning infrastructure already in motion, forging real developer usage, enterprise tools, cross-chain reach, and monetized services powered by VANRY. Amid a market crowded with hype, Vanar’s realistic, product-first evolution marks a new phase in the convergence of blockchain and artificial intelligence.

#Vanar @Vanarchain $VANRY