THomas Řeid

@Walrus 🦭/acc #walrus $WAL
V dnešním DeFi prostředí je transparentnost často považována za vlastnost. Ale pro mnohé uživatele to vytváří nepříjemný obchod. Každá transakce, zůstatek peněženky a interakce mohou být sledovány na řetězci, což ponechává málo prostoru pro skutečné finanční soukromí. Jak Web3 roste, potřeba důvěrnosti a kontroly se stala stejně důležitou jako rychlost a škálovatelnost.

Walrus nabízí jinou cestu. Postavený na vysoce výkonné blockchainové síti Sui, Walrus se zaměřuje na zabezpečenou, decentralizovanou infrastrukturu, která chrání hodnotu i data. Místo toho, aby ve defaultu odhaloval aktivitu veřejnosti, umožňuje uživatelům provádět transakce, stakovat a ukládat informace s většími soukromím a odolností. Cílem není tajemství pro jeho vlastní sake — je to vlastnictví a kontrola.

@Dusk #dusk $DUSK
Moderní blockchainy se často snaží řešit soukromí tím, že přímo do svých výkonných prostředí vkládají kryptografické techniky. Ačkoli tento přístup může fungovat pro úzké nebo experimentální případy použití, zavádí složitost, neefektivnost a provozní riziko, když je aplikován na regulované finanční systémy.
Dusk Network se vydává zcela jinou cestou. Místo toho, aby míchal logiku soukromí s vykonáváním chytrých smluv, odděluje obě na architektonické úrovni. Tento designový výběr není kosmetický — přímo se zabývá strukturálními slabinami nalezenými jak v plně transparentních blockchainách, tak v systémech zaměřených na soukromí, které zaměňují kryptografii s výpočtem.

@Vanarchain #vanar $VANRY
In the ever evolving landscape of blockchain technology, the intersection with artificial intelligence (AI) has sparked a wave of innovation and no small amount of hype. As of early 2026, the market is flooded with so called "AI public chains," projects promising to embed AI directly into decentralized networks to revolutionize everything from data processing to smart contracts. Yet, a closer inspection reveals that many of these ventures are little more than superficial tweaks to existing frameworks, failing to address the core challenges of on chain AI computation. This article delves into the shortcomings of these emergent chains, contrasts them with more thoughtful approaches, and spotlights Vanar Chain as a standout example of practical engineering. Drawing from hands-on experiences and broader industry trends, we'll explore why Vanar represents a step forward in Web3 infrastructure, while also candidly addressing its current limitations that could hinder widespread adoption.
The Rise of 'AI Public Chains Promise vs. Reality
The fusion of AI and blockchain has been touted as the next frontier for Web3, enabling decentralized applications (dApps) that can learn, adapt, and make intelligent decisions without relying on centralized servers. By February 2026, the AI crypto sector boasts a market capitalization exceeding $26 billion, with projects like Bittensor, Render Network, and NEAR Protocol leading the charge. These initiatives aim to democratize AI by leveraging blockchain for secure data sharing, model training, and inference. Bittensor, for instance, creates a marketplace for decentralized AI models, rewarding contributors with its native token, TAO. Render focuses on distributed GPU computing for AI and 3D rendering, addressing the hardware bottlenecks in machine learning. NEAR positions itself as "the blockchain for AI," emphasizing agentic applications where AI agents can own assets and transact autonomously.
However, beneath the glossy marketing, a significant portion of these "AI public chains" fall short. Many are essentially forked versions of the Ethereum Virtual Machine (EVM) codebase, with bolted-on features like AI oracle interfaces. Oracles, such as those provided by Chainlink (which integrates AI with real-world data and holds a market cap of over $8 billion as of February 2026), allow blockchains to fetch external data for AI models. But simply adding these interfaces doesn't resolve the fundamental issue: the computational bottleneck of running resource-intensive AI models on-chain. Blockchain networks are designed for consensus and security, not the parallel processing demands of neural networks. Forking EVM and slapping on oracles is akin to "changing the broth but not the medicine" it masks symptoms without curing the underlying inefficiency.
This approach leads to predictable pitfalls. On chain AI inference requires massive compute power, yet most public chains struggle with scalability under load. Transactions bog down, gas fees spike, and developers are left wrestling with limitations that centralized clouds like AWS handle effortlessly. Industry predictions for 2026 highlight this tension: while AI integration into blockchain is expected to grow for verification, provenance, and agentic systems, many projects risk becoming overhyped without delivering tangible utility. As one analysis notes, AI will redefine blockchain, but only if builders move beyond retrofits to purpose built architectures.
Vanar Chain: A Smarter Separation of Concerns
Enter Vanar Chain, a Layer 1 blockchain that eschews the "full-chain AI" fantasy in favor of a modular, pragmatic design. Launched with a focus on AI-native infrastructure, Vanar isn't just another EVM clone it's engineered from the ground up for AI workloads, PayFi (payment finance), and tokenized real-world assets (RWAs). Its five-layer architecture comprising the base Vanar Chain L1, Neutron for semantic memory and data compression, Kayon for contextual AI reasoning, Axon for intelligent automations (launching soon), and Flows for industry-specific applications cleverly decouples the computing layer from the consensus layer.
This separation is key. The L1 handles consensus, security, and scalability, boasting sub second finality, deterministic transaction costs at a mere $0.0005 per transaction, and EVM compatibility for seamless developer onboarding. Meanwhile, upper layers like Kayon manage AI-specific tasks, such as on-chain reasoning for predictions and compliance, without burdening the core network. Neutron compresses real-world data into "Seeds" provable, AI-readable formats enabling efficient storage and processing.<grok:render This modular stack allows for distributed compute, semantic transactions, and fast AI inference, making Vanar feel more like a serverless platform than a traditional blockchain.
Compare this to subnet solutions from networks like Fantom or Avalanche. While those isolate workloads through customizable subnets, the setup is notoriously complex, requiring deep full-stack expertise to configure validators, manage cross-subnet communication, and optimize performance. Developers often spend months tweaking parameters, diverting focus from core business logic. Vanar, by contrast, mirrors AWS Lambda's serverless model: resources are dynamically allocated, and developers interact via intuitive SDKs in JavaScript, Python.
Intelligent APIs let builders embed AI capabilities with minimal code, automating logic from documents or triggering models without oracles or middleware.
A practical test underscores this difference. Deploying a simple semantic analysis script on Vanar's testnet yields response times that rival centralized servers sub second execution that belies its decentralized nature. No more fretting over gas limits or overflows; the system handles scaling invisibly. This "unfeeling" efficiency where infrastructure fades into the background is the holy grail for Web3. As Vanar's whitepaper emphasizes, it's built for onboarding billions with fixed low costs and robust security, initially targeting gaming and entertainment before pivoting to AI.
The Glaring Gaps: Ecosystem Desolation and User Friction
For all its technical prowess, Vanar Chain grapples with significant hurdles that could relegate it to obscurity. The ecosystem remains strikingly underdeveloped. Despite partnerships like the one with Worldpay for payments infrastructure and hires such as Saiprasad Raut as Head of Payments, native DeFi applications are scarce. There's no robust suite of "DeFi Legos" modular protocols for lending, swapping, or yield farming to attract liquidity. Tokenized RWAs and PayFi hold promise, but without vibrant on-chain activity, Vanar risks becoming a "best runway" with nothing but outdated carts rumbling along. Daily transactions hover around 150,000, a fraction of Ethereum's volume, and the global transaction count of 26 million pales against more established chains.
User experience compounds the issue. The official bridge for asset transfers is clunky and anti-intuitive, with slow processing and state updates lagging by minutes. In an era where seamless cross-chain interactions are table stakes, these friction points deter adoption. Upcoming features like Axon and Flows could inject vitality, and events such as TOKEN2049 Dubai in April 2026 signal community building efforts.But without rapid iteration on basics, Vanar's solid foundation might support only a "ghost chain" technically sound but eerily empty.
Looking Ahead Lessons for Web3 Infrastructure
Vanar Chain exemplifies how AI public chains can transcend gimmicks by prioritizing modularity and developer ergonomics. It challenges the industry to rethink infrastructure, moving from monolithic designs to layered stacks that handle AI's demands without compromising decentralization. Yet, its story is a cautionary tale: technology alone isn't enough. Ecosystems thrive on network effects, user-friendly tools, and liquidity magnets like DeFi.
As 2026 unfolds, expect more projects to adopt similar separations, with AI agents and verifiable computations becoming standard. For Vanar to succeed, the team must aggressively bootstrap its ecosystem perhaps through grants, hackathons, or integrations with blue chip DeFi protocols. If they do, Vanar could redefine Web3 as truly intelligent. If not, it joins the ranks of innovative but forgotten chains. The broader lesson? In the AI blockchain nexus, substance over spectacle will separate the revolutionaries from the relics.

@Plasma #Plasma $XPL
Včera v noci jsem se znovu díval na grafy.
Likvidace blikající červeně a zeleně, čísla skáčou každou sekundu, svíčky se natahují, jako by byly naživu. V jednu chvíli všechno vypadalo euforicky, v další to vypadalo, jako by podlaha zmizela.
Na okamžik to bylo vzrušující — velký objem, velké pohyby, chaos.
Pak mě zasáhla podivná myšlenka: tohle není síla… to je hluk.
Všichni jsme byli vyškoleni, abychom pronásledovali tyto okamžiky.
Ty špičky. Ty “průlomy.” Ty dramatické časové osy plné raket a vykřičníků.

@Dusk #dusk $DUSK
Dusk Network se zdá být budováno s velmi odlišným myšlením než většina kryptoprojektů. Místo honby za humbukem nebo trendy se zdá, že se zaměřuje na jednoduchou realitu: když jsou zapojeny skutečné peníze a regulované trhy, celková transparentnost není vždy praktická. Instituce nemohou veřejně odhalit každou obchodní transakci nebo pozici, ale stále potřebují odpovědnost, shodu a ověřitelné záznamy. Ten balans mezi soukromím a důvěrou je mezera, kterou se Dusk snaží zaplnit.

Co dělá to zajímavým, je, že soukromí není považováno za další funkci, kterou můžete zapnout později. Je to zakotveno v základu. S modelem transakcí Phoenix mohou převody a aktivity chytrých smluv zůstat důvěrné, zatímco stále zůstávají prokazatelné. To je velký problém, protože jakmile je soukromí nativní, vše ostatní se zdá přirozenější. Vývojáři nemusí spojovat řešení dohromady a uživatelé si nemusí vybírat mezi bezpečností a použitelností. Funguje to jako součást systému.