Rhythm X Zhihu Co-host Web4.0 Theme Event: When AI Agent Takes Over On-Chain Permissions

marsbit2026-04-01 tarihinde yayınlandı2026-04-01 tarihinde güncellendi

Özet

Most discussions about Web 4.0 miss the point. The real question is not whether it is a marketing trend, but rather: who is gaining control over the underlying permissions of the internet? Historically, each iteration of the web has involved a transfer of authority downward: Web 1.0 was read-only; Web 2.0 allowed users to write but platforms owned the data; Web 3.0 enabled true ownership through on-chain assets and private keys. Web 4.0 continues this trend, but the transfer is not to users—it is to AI Agents. The current infrastructure is human-centric, designed around human limitations like attention span and memory. But AI Agents don’t need intuitive UIs, password resets, or sleep. This creates a core tension: an internet built for humans is now being used by entities without human constraints. Two key shifts are underway: the decline of traditional front-end interfaces (replaced by API-driven machine communication) and the replacement of human-centric identity systems (like passwords) with granular, on-chain permissions. A critical enabler is crypto infrastructure. AI can make rapid decisions but lacks independent payment channels and asset sovereignty. Crypto fills this gap. Platforms like Hyperliquid offer 24/7 markets, ideal for non-stop Agent operation. When Agents control wallets and private keys, they can both decide and execute—forming complete economic entities. The real narrative of Crypto × AI isn’t just buzzword synergy—it’s the convergence of complement...

Most people approach Web 4.0 in the wrong way.

They ask: Is this the next marketing cycle? Is Web 4.0 just another wave of concept creation? These questions miss the point. There is only one real question: Who is the underlying authority of the internet transferring from, and to whom?

Placed in a historical context, the answer has always been clear. Web 1.0 was read-only—users were consumers of content, without write permissions. Web 2.0 granted write permissions—you could post, upload, comment, but the platform owned your data. Web 3.0 granted ownership—assets are on-chain, the private key is in your hand, the platform cannot confiscate your wallet.

Each iteration is, at its core, a downward transfer of authority.

Web 4.0 continues this same logical line, but the recipient of this transfer changes. It's not being transferred to the user; it's being transferred to the Agent.

A neglected structural fact: For a long time, the entire architecture of the internet has been absolutely "human-centric."

Web 2.0's UI/UX was designed for human cognitive bandwidth—information density, click paths, color contrast, every parameter is an estimate of the limits of human attention. Web 3.0's KYC verification, seed phrase backups, multi-signature approvals essentially address the physiological flaws of humans being error-prone and susceptible to attacks.

The entire system serves human limitations, not human capabilities.

But in the AI era, this logic begins to break down. When an Agent gains on-chain permissions, it faces the same system designed for humans, but it doesn't need a beautiful UI, password recovery, SMS verification codes, or to sleep on a transaction confirmation.

This is the core contradiction of Web 4.0: an internet infrastructure designed for human cognitive limitations encounters a new type of participant without cognitive limitations. A rebuild is inevitable.

The ongoing rebuild can be observed from two dimensions.

The first dimension is the disintegration of the frontend. Traditional, polished UIs were designed for human visual processing capabilities. Agents primarily communicate through APIs and code logic; the UI is noise to them, not an entry point. Once Agents become the main interactors with protocols, the logic of the frontend shifts from "how to make the user understand" to "how to make the machine read." This is a paradigm shift unlike any in thirty years of frontend development.

The second dimension is the replacement of the identity verification system. Systems based on usernames and passwords assume the logging-in entity is a human with memory limitations—passwords must be short enough to remember but long enough to be secure. This contradiction spawned the entire password management industry. But an Agent doesn't need to remember passwords. On-chain signatures can be granted and revoked in real-time, with permission granular down to a single operation. The account system will be gradually replaced, not because it was poorly designed, but because its design premise is now obsolete.

These changes in both dimensions can be summarized in one sentence: the gateway will shift from a revolving door designed for humans to an API interface designed for machines.

In this process of infrastructure rebuild, there is a specific closed loop worth examining separately.

AI possesses powerful decision-making capabilities, but it inherently lacks two things: an independent payment channel and asset sovereignty.

An Agent can analyze sentiment data across the global gold market in milliseconds and provide the optimal allocation decision—but if it doesn't have an independent capital account, this decision still requires a human to execute. The delay in the execution环节 erodes all the advantage it accumulated in the analysis phase.

Crypto completes this shortcoming.

Take Hyperliquid as an example: Its perpetual contract markets for commodities like gold, silver, and crude oil operate 24/7. This feature is optional for human traders—a position entered at 3 AM can wait until morning. But for an Agent, this is a necessary infrastructure condition because the Agent itself has no concept of sleep; its operation is round-the-clock.

When an Agent takes over the wallet and private key, it extends from the decision layer to the execution layer. AI provides analysis and judgment, Crypto provides the settlement infrastructure. Together, they form a complete economic entity.

The marginal cost of running an Agent tends towards zero. Its output and trade execution are continuous. For DeFi protocols, this is an unprecedented ideal counterparty—not emotional, doesn't forget, doesn't miss the optimal execution window because of a daytime meeting.

This is the real narrative of Crypto × AI: not the叠加 of two buzzwords, but complementary infrastructures connecting at the same historical moment.

Here is a perhaps not entirely appropriate example.

In 1908, the Ford Model T entered mass production. In the first few years, the mainstream opinion among critics was: the car is an upgraded version of the carriage, a toy suitable for the wealthy. No one foresaw that the car would rewrite the spatial logic of entire cities, spawn gas station chains, destroy railroad passenger transport, and turn Detroit into a global manufacturing center.

The missed key point wasn't the car itself, but how the car changed the entire society's function of time and space cost.

The structural significance of Web 4.0 is similar. Surface-level questions—which products will boom, which protocols will win—are like the "which car model will sell best" questions of the Model T era. The real proposition is: When Agents become the main on-chain participants, with scale and concurrency exponentially surpassing humans, in what dimensions will the rules of the economic system shift?

İlgili Sorular

QWhat is the core issue that Web 4.0 addresses, according to the article?

AThe core issue is the transfer of underlying internet permissions from humans to AI Agents, as the current human-centric infrastructure is not designed for AI's capabilities.

QHow does the article define the fundamental evolution from Web 1.0 to Web 3.0?

AWeb 1.0 was read-only (users consumed content), Web 2.0 granted write permissions (users could post but platforms owned data), and Web 3.0 granted ownership (users control assets via private keys on-chain).

QWhat two key dimensions of infrastructure change are highlighted for Web 4.0?

AThe瓦解 of traditional human-designed front-end UIs (replaced by API-driven machine communication) and the replacement of identity verification systems (e.g., passwords with granular, revocable on-chain signatures).

QWhy is Crypto considered essential for AI Agents in Web 4.0?

ACrypto provides independent payment channels and asset sovereignty, enabling AI Agents to execute decisions autonomously and operate 24/7, complementing AI's analytical capabilities with decentralized settlement infrastructure.

QWhat historical analogy does the article use to illustrate the transformative impact of Web 4.0?

AIt compares Web 4.0 to the Ford Model T, which not only improved transportation but reshaped societal spatial logic and economic systems, emphasizing how AI Agents will redefine scale, concurrency, and rules in economic systems.

İlgili Okumalar

From Parallel Finance to Mainstream Finance: The On-Chain Securities Era Ushers in a Historic Window

From Parallel Finance to Mainstream: The Dawn of On-Chain Securities For over a decade, the crypto industry has operated as a parallel financial system with its own currencies, markets, and assets—from Bitcoin and ICOs to DeFi, NFTs, and memecoins. Despite building a robust internal ecosystem, a wall has separated it from the traditional financial world. That barrier is now crumbling. The industry's first act was one of internal evolution: ICOs streamlined fundraising, DeFi recreated financial services on-chain, and layer-2 networks competed for scalability—all within the crypto bubble. While innovative, this cycle remained closed, with capital and users circulating internally, leading to volatile boom-bust cycles. Even Bitcoin ETFs, while attracting Wall Street capital, merely provided a channel to buy crypto assets without bridging the systems. The next, larger narrative is Real-World Assets (RWA) moving on-chain. This involves tokenizing stocks, bonds, funds, and future cash flows. Blockchain can compress the complex traditional processes of trading, settlement, clearing, and custody into a seamless, automated network operating in seconds. This shift is creating a new financial gateway: the native crypto securities broker. This entity will combine functions of an exchange, broker, bank, and custodian into a unified global financial operating system. Consequently, the next major battleground won't be the "public chain wars" focused on speed and cost, but the competition to build the financial infrastructure capable of hosting high-quality, liquid real-world assets. Access to global equities, index funds, or stakes in companies like SpaceX could erase the boundary between crypto and traditional finance, unlocking a market orders of magnitude larger than crypto's current valuation. In summary, after years of creating a separate financial world, crypto's next decade will be defined by its integration into the existing global financial system, marking the true beginning of its largest growth story.

marsbit14 dk önce

From Parallel Finance to Mainstream Finance: The On-Chain Securities Era Ushers in a Historic Window

marsbit14 dk önce

Wang Chuan: When the Neighbor Old Wang Made 30x on Memory Stocks, How to Avoid Anxiety (Part Six) - The Trap of Commoditized Goods

Wang Chuan: When the Neighbor Lao Wang Made 30x on Storage Stocks, How to Stay Anxiety-Free (Part 6) - The Trap of Commoditized Goods. This essay uses historical and current examples to analyze the cyclical and high-risk nature of the data storage industry. It begins with the 1990s rise and dramatic fall of Iomega, whose stock soared over 160x in 18 months before collapsing 97% from its peak, illustrating the fleeting success of storage "meme stocks." The core problem is that storage products, like DRAM and flash memory, are highly commoditized. This leads to extreme volatility: prices have plummeted over 80% multiple times, and company stocks often crash 95% or go bankrupt. The industry's dynamic is defined by "elastic demand facing heavy-asset, long-cycle, rigid supply." When demand spikes and supply is fixed, prices skyrocket, as seen recently with AI-driven demand for High Bandwidth Memory (HBM). Companies like Sandisk and Micron have reported massive revenue and gross margin jumps (e.g., Sandisk's gross margin rising from 22.5% to 78.3%) despite minimal increases in production volume. However, these high margins are self-defeating. They incentivize massive new capacity investments (hundreds of billions planned from 2026), with supply expected to surge by late 2027. Once new supply meets demand, prices and profits will crash, potentially leading to a scenario where "selling more results in earning less." The article debunks the safety of long-term supply agreements, comparing them to fragile non-aggression pacts easily broken when market conditions shift. It warns that when an industry is highly profitable but trades at low P/E ratios, the risk is greatest, as plummeting prices quickly erase those earnings. Multiple asymmetric risks loom, including economic recession, reduced AI spending, faster-than-expected capacity expansion (especially from Chinese firms), and technological innovations that reduce memory requirements. In conclusion, the storage sector is a cyclical trap where periods of euphoric profits are often precursors to devastating downturns, luring unprepared investors into a "wealth incinerator."

marsbit23 dk önce

Wang Chuan: When the Neighbor Old Wang Made 30x on Memory Stocks, How to Avoid Anxiety (Part Six) - The Trap of Commoditized Goods

marsbit23 dk önce

Wang Chuan: When the neighbor Lao Wang earned thirty times from investing in memory storage stocks, how can you still avoid anxiety (6) - The trap of homogeneous products

The article, "Wang Chuan: How to Remain Unanxious After Neighbor Lao Wang's Thirty-Fold Gain on Storage Stocks (Part 6) - The Trap of Commoditized Goods," analyzes the cyclical and perilous nature of the data storage industry through historical and current case studies. It begins with the example of Iomega, whose Zip drives led to a stock surge of over 160x in the mid-1990s before collapsing over 97% from its peak due to competition from cheaper CD-R technology. This pattern is characteristic of storage, where products like DRAM are highly commoditized, leading to extreme price volatility. The sector has seen prices crash over 80% multiple times, with companies often facing bankruptcy. The core dynamic is "elastic demand facing heavy-asset, long-cycle, rigid supply." High prices attract new capacity, but the long lead time means supply eventually overshoots, causing sharp price corrections. The current AI-driven boom, exemplified by surging demand for High-Bandwidth Memory (HBM), has led to skyrocketing prices and profit margins for companies like SanDisk and Micron, despite relatively flat production volumes. However, the author warns this high-margin environment is self-defeating. The high profits are already triggering massive new capacity investments (hundreds of billions starting 2026), with supply expected to ramp up by late 2027. When supply catches up, total revenue and profits may fall even as more units are sold. Long-term supply agreements offer little protection, as buyers can find ways to renegotiate if market prices drop, similar to fragile political treaties. Key risks include economic downturns, cuts in AI spending, faster-than-expected capacity expansion (especially from Chinese firms), and innovations in chip/algorithm design that reduce memory needs. A critical trap is that at the cycle's peak, storage stocks often appear cheap with low P/E ratios, luring value investors just before an impending downturn where profits evaporate. The conclusion cautions that for commoditized goods like storage, high margins inevitably destroy themselves, and the current asymmetry favors downside risk over further upside. The neighbor's dream of easy wealth from storage stocks is portrayed as a precarious illusion.

链捕手41 dk önce

Wang Chuan: When the neighbor Lao Wang earned thirty times from investing in memory storage stocks, how can you still avoid anxiety (6) - The trap of homogeneous products

链捕手41 dk önce

AI PCs Are Here, Going Toe-to-Toe with 120B Models Locally! NVIDIA Redefines the "Personal AI Computer" Foundation with RTX Spark

NVIDIA has redefined the "AI PC" standard with the launch of the RTX Spark super chip at GTC 2026. Boasting 1 petaflop (1000 TOPS) of AI performance, it dwarfs the 45-50 TOPS NPUs in current AI PCs. The SoC features a Blackwell GPU, a 20-core Arm CPU co-designed with MediaTek, and crucially, up to 128GB of unified memory shared between CPU and GPU. This architectural shift enables local execution of 120-billion-parameter large language models with million-token context windows, a massive leap from the 9B-40B models typical on current consumer hardware. Beyond AI, use cases include 12K video editing and high-fps ray-traced gaming. Key to enterprise adoption is a security collaboration with Microsoft. Windows security is upgraded, and NVIDIA's OpenShell sandbox runtime is integrated to safely contain AI agent actions. Major software support comes from Adobe, which announced a deep,底层-level rewrite of Photoshop and Premiere to leverage the unified memory for up to 2x performance gains. Six OEMs, including Dell, HP, Lenovo, and Microsoft Surface, will release RTX Spark-based轻薄本 and compact desktops this fall. However, questions remain about real-world performance,功耗, thermal management in laptops, pricing, and the actual impact of the OpenShell sandbox. The RTX Spark represents a fundamental power shift in the PC industry, moving from an x86 CPU-centric model to a GPU-centric SoC platform, but its ultimate success hinges on the upcoming product rollouts and ecosystem validation.

marsbit55 dk önce

AI PCs Are Here, Going Toe-to-Toe with 120B Models Locally! NVIDIA Redefines the "Personal AI Computer" Foundation with RTX Spark

marsbit55 dk önce

İşlemler

Spot
Futures

Popüler Makaleler

PEOPLE Nasıl Satın Alınır

HTX.com’a hoş geldiniz! ConstitutionDAO (PEOPLE) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında ConstitutionDAO (PEOPLE) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: ConstitutionDAO (PEOPLE) Varlıklarınızı SaklayınConstitutionDAO (PEOPLE) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: ConstitutionDAO (PEOPLE) Varlıklarınızla İşlem YapınHTX'in spot piyasasında ConstitutionDAO (PEOPLE) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

450 Toplam GörüntülenmeYayınlanma 2024.12.12Güncellenme 2025.03.21

PEOPLE Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların PEOPLE (PEOPLE) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片