互聯網和社交媒體的興起重新定義了品牌如何與全球數十億用戶聯繫。

在一定程度上，數字生態系統是精心設計的，以分散注意力。

The rise of the internet and social media has transformed how brands engage with billions of users around the globe. In this interconnected realm, there’s a constant competition for users’ attention.

互聯網和社交媒體的興起改變了品牌如何與全球數十億用戶互動。在這個相互聯繫的領域中，有一個不斷的競爭引起用戶的關注。

This is especially pertinent in today’s digital ecosystem, which is meticulously engineered for distraction. From the endless stream of notifications to advertisements and content designed to maximize clicks over user needs, the landscape is littered with attempts to capture attention at every turn.

這在當今的數字生態系統中尤其相關，該生態系統經過精心設計的干擾。從無休止的通知流到旨在最大程度地點擊用戶需求的廣告和內容，景觀亂扔垃圾。

A 2020 study by The Economist Intelligence Unit found that 28% of working hours in the U.S. in knowledge work are lost to distraction, highlighting the economic effect of this relentless pursuit of attention.

經濟學家情報部門的一項2020年的研究發現，在美國的知識工作中，有28％的工作時間因分心而喪失，強調了這種不懈的追求關注的經濟影響。

However, this race has led to significant cognitive, financial and social costs, warranting a shift toward a more user-centric framework: the intention economy.

但是，這項種族導致了巨大的認知，財務和社會成本，因此必須轉向以用戶為中心的框架：意圖經濟。

The mechanics of the attention economy

注意經濟的機制

Digital platforms are designed to capture and retain user attention and lead them through a series of dopamine-generation mechanisms. Algorithms prioritize addictive content to ensure users stay engaged and keep returning to their platform.

數字平台旨在捕獲和保留用戶的關注，並引導他們通過一系列多巴胺生成機制。算法優先考慮成癮性內容，以確保用戶保持參與並繼續返回其平台。

For example, a Google search for travel insurance will yield results skewed by SEO practices and paid advertisements, often pushing users toward suboptimal choices. Similarly, though seemingly helpful, price comparison websites prioritize results based on auction placements rather than genuine relevance. There is a focus on expediency rather than accuracy when serving the user.

例如，Google搜索旅行保險將產生SEO實踐和付費廣告偏向的結果，通常會將用戶推向次優選擇。同樣，儘管看似有用，但價格比較網站基於拍賣位置而不是真正的相關性來優先考慮結果。在為用戶服務時，專注於權宜之計而不是準確性。

This misalignment between user intent and system design is economically expensive. The 2020 Economist Intelligence Unit study estimated that distractions cost the U.S. economy $391 billion annually in lost productivity.

用戶意圖和系統設計之間的這種錯位在經濟上很昂貴。 2020年經濟學家情報部門的研究估計，分心使美國經濟損失了3910億美元的生產率。

The cognitive toll

認知損失

An attention-focused digital economy has taken its toll on both users and creators. For users, the constant influx of notifications hurts focus, decreasing productivity and eroding the capacity for deep, critical thinking. A study by King’s College London found that 51% of respondents believe technology affects young people’s attention spans.

以注意力為中心的數字經濟對用戶和創建者都造成了損失。對於用戶而言，通知的持續湧入會損害人們的注意力，降低生產率並侵蝕深刻，批判性思維的能力。倫敦國王學院的一項研究發現，有51％的受訪者認為技術會影響年輕人的注意力。

Content creators, quality and economics

內容創作者，質量和經濟學

For creators, the pressures of the attention economy are equally apparent. Creators are locked into a setup where they must produce a continuous stream of engaging content to maintain visibility and engagement. That often leads to significant stress and burnout.

對於創作者而言，注意經濟的壓力同樣顯而易見。創作者被鎖定在設置中，必須在其中產生連續的引人入勝的內容來保持可見性和參與度。這通常會導致巨大的壓力和倦怠。

Creators are forced to deliver sensationalist and low-quality content. They may resort to clickbait titles, thumbnails or controversial topics to attract views, often at the expense of accuracy and depth.

創作者被迫提供聳人聽聞的和低質量的內容。他們可能會訴諸點擊標題，縮略圖或有爭議的主題，以吸引視圖，通常以準確性和深度為代價。

The monetization models driving the attention economy disadvantage smaller and newer creators. Revenues depend on engagement metrics, which can be disproportionately influenced by platform algorithms favoring already popular and trending content. That creates economic disparities, where a small percentage of top creators capture the most attention.

貨幣化模型推動了注意力經濟不利的較小和較新的創作者。收入取決於參與度指標，這可能會受到平台算法的影響不成比例的，這些算法偏愛已經流行和流行內容。這造成了經濟差異，其中一小部分頂級創作者吸引了最大的關注。

Post Web and the intention economy

發佈網絡和意圖經濟

Enter the Post Web, a paradigm that replaces the attention economy with the intention economy. This vision, outlined in Outlier Ventures’ seminal work, leverages intent-driven AI agents to create hyper-contextual, value-driven interactions.

輸入郵政網，這是一種範式，可以用意向經濟取代注意力經濟。在Outier Ventures的精確工作中概述了這種願景，利用意圖驅動的AI代理創建超緊張的，價值驅動的相互作用。

The Post Web thesis focuses more on the quality than the quantity of digital content. It achieves that by aligning digital infrastructure around user intent and empowering individuals to delegate complex tasks to autonomous agents.

網絡論文論文比數字內容的數量更多地關注質量。它實現了通過將數字基礎架構調整為圍繞用戶意圖的數字基礎架構，並使個人有能力將復雜的任務委派給自主代理。

In the insurance example discussed above, an AI agent in the intention economy could compare policies across multiple criteria, such as coverage for specific user activities, their preferences and real-time weather conditions. By automating this process, the intention economy reduces the user’s cognitive load and ensures optimal outcomes.

在上面討論的保險示例中，意圖經濟中的AI代理可以比較跨多個標準的政策，例如針對特定用戶活動，其偏好和實時天氣條件的保險。通過自動化此過程，意圖經濟減少了用戶的認知負擔並確保最佳結果。

Implementing user-centric design

實施以用戶為中心的設計

Transitioning to the intention economy necessitates rethinking digital design principles. The Post Web’s infrastructure enables AI agents to act on behalf of users, seamlessly integrating distributed ledger technology (DLT) for trust and verifiability. The Post Web is intent-based and deterministic, yet adaptive, verifiable and hyper-contextual.

過渡到意圖經濟需要重新思考數字設計原則。郵政網絡的基礎架構使AI代理可以代表用戶行動，無縫整合分佈式分類帳技術（DLT），以實現信任和驗證性。帖子網絡是基於意圖的，確定性的，但自適應，可驗證和超文本。

User interactions in the Post Web are guided by AI agents capable of interpreting nuanced intents. AI agents eliminate the need for manual, repetitive actions, creating a frictionless digital experience. DLT ensures that these interactions remain secure, transparent, and trustworthy. This integration of AI and blockchain unlocks a new efficiency level, making the intention economy not just possible but inevitable.

郵政網絡中的用戶交互是由能夠解釋細微差別意圖的AI代理指導的。 AI代理消除了對手動，重複動作的需求，創造了無摩擦的數字體驗。 DLT確保這些互動保持安全，透明和值得信賴。 AI和區塊鏈的這種整合釋放了新的效率水平，使意圖經濟不僅可能而且不可避免。

The role of AI

AI的角色

AI is pivotal in enabling the intention economy by personalizing interactions and optimizing decision-making processes. In the Post Web, AI agents can dynamically adjust their behavior based on personalized real-time data, ensuring user outcomes align closely with their needs.

AI通過個性化互動和優化決策過程來使意圖經濟成為關鍵。在帖子Web中，AI代理可以根據個性化的實時數據動態調整其行為，從而確保用戶的結果與他們的需求緊密相符。

This level of personalization requires robust safeguards to ensure privacy and prevent misuse. The Post Web addresses this challenge through privacy-preserving technologies and decentralized frameworks, ensuring user sovereignty remains paramount.

這種個性化水平需要強大的保障措施，以確保隱私並防止濫用。 Web Web通過保護隱私技術和分散框架來解決這一挑戰，從而確保用戶主權仍然至關重要。

Overcoming challenges

克服挑戰

While the intention economy offers advantages, its implementation is not without hurdles. Balancing personalization with privacy, addressing ethical considerations in AI design, and reengineering economic models that profit from attention are complex challenges.

儘管意圖經濟具有優勢，但其實施並非沒有障礙。平衡個性化與隱私，解決AI設計中的道德考慮以及重新設計從注意力中獲利的經濟模型是複雜的挑戰。

A collaborative effort across all key actors in the digital economy is needed to make this a reality. Transitioning to a user-centric framework requires initiative across technology providers, policymakers and users.

需要在數字經濟中的所有主要參與者進行合作努力，以使其成為現實。過渡到以用戶為中心的框架需要跨技術提供商，決策者和用戶的倡議。

Critics might argue that AI-driven systems risk reducing human agency by over-automating

批評家可能會爭辯說，AI驅動的系統有可能通過過度自動化來減少人類代理