除内容资料的剽窃外，两家日媒还表示 Perplexity 向读者提供的 AI 摘要并不准确，未能忠实反映原始 文章内容，损害媒体声誉，侵犯媒体商业利益，违反当地《反不正当竞争法》。 《日经新闻》《朝日新闻》要求东京地方法院勒令 Perplexity AI 停止使用两家媒体的作品资源并删除摘 要，并寻求合计 22 亿日元（IT之家注：现汇率约合 1.07 亿元人民币）的经济补偿。 《日经新闻》《朝日新闻》共同指控，Perplexity 通过技术手段绕过了两家媒体的内容保护措施，从 《日经》《朝日》的服务器收集文章，并创建和传播了违反日本版权法规的作品摘要。 IT之家 8 月 26 日消息，在《读卖新闻》本月上旬对 AI 搜索企业 Perplexity AI 发起版权诉讼后，另两家 日本新闻巨头《日经新闻》《朝日新闻》当地时间今日也起诉了 Perplexity。 ...

Core Viewpoint - A significant acquisition proposal has emerged where OpenAI is willing to acquire Google's Chrome browser for up to $20 billion, which would set a record for both companies involved [4]. Group 1: Acquisition Details - If the acquisition by OpenAI proceeds, it would double their previous investment record of $6.5 billion for Io Products [4]. - Chrome, with a market share of 67.9% as of July 2025, is a valuable asset compared to Google's previous highest sale of Motorola, which totaled $5.335 billion [4]. - Recently, AI unicorn Perplexity has entered the bidding with a proposal of $34.5 billion, significantly higher than OpenAI's offer [5][10]. Group 2: Perplexity's Position - Perplexity aims to position itself as "the Google of the AI era" and has developed various AI products, processing 780 million user searches by May 2025 [8][10]. - The acquisition proposal from Perplexity is driven by the belief that Chrome's user base is an irreplaceable strategic resource in the AI arms race [10]. - Perplexity has secured backing from several large venture capital funds, although its financial capacity remains uncertain given its recent valuation of $18 billion [11]. Group 3: Market Context and Implications - The ongoing antitrust scrutiny against Google has created pressure for the company to divest Chrome, with the U.S. government actively pursuing this outcome [5][12]. - Analysts express skepticism about Perplexity's ability to successfully acquire Chrome, citing the high valuation and potential risks involved [14][15]. - The potential sale of Chrome is expected to set a new record for annual mergers and acquisitions, regardless of the outcome [17].

要说有什么瓜，能从去年吃到今年，那必须得有一大批传统媒体"开撕"AI大厂的一席之地。 为了防止有人还不知道这事儿，我先简单交代下背景。 这次事件的主角是一家在AI圈内声名鹊起、估值已达180亿美元的初创公司——Perplexity AI。 而站在他们对面的，则是一个由全球顶级媒体组成的"复仇者联盟"：日本最大的报业集团《读卖新闻》、英国广播公司（BBC）、新闻集团旗下的道琼斯 （《华尔街日报》母公司）和《纽约邮报》，以及早已向其发出"最后通牒"的《纽约时报》。 这些传统媒体们给Perplexity AI安的罪名是未经许可使用版权材料，他们还在自家网站上发了篇文章，专门报道了这事儿。 （图源：读卖新闻） 乍看之下，这像是一场传统媒体巨头对新兴技术公司的围剿，一场"旧时代"对"新物种"的宣战。 但当你深入了解Perplexity的工作方式后，你会发现，这场争斗远比想象中复杂。它不仅仅是关于几篇文章的版权归属，更是关于互联网信息流转方式、商 业模式乃至整个内容生态未来走向的一场深刻博弈。 （图源：雷科技制作） 这一幕，与2014年搜狐新闻们联合起来控诉今日头条何其相似。当年，作为新物种的今日头条用"千人千面"的推荐 ...

Group 1 - The CEO of Coinbase announced a partnership with Perplexity AI [1]

Core Viewpoint - The emergence of AI agents capable of making payments autonomously is a significant trend in the AI application and business model landscape, with various companies developing solutions to facilitate this capability [4][20]. Group 1: Steps for Agent Payment - The process of enabling agent payment involves several steps, including research tools for inventory, communication tools for supplier interaction, note-taking for financial tracking, customer interaction capabilities, and price adjustment functionalities [7]. - Recent developments indicate that companies like Mastercard and Visa have launched AI agent payment solutions, while PayPal introduced its first MCP server, allowing LLMs to generate invoices and share payment links automatically [9][20]. Group 2: Key AI Products with Payment Integration - Perplexity Pro Shopping allows users to complete purchases directly within a chatbot interface, representing an early attempt at integrating agent and commerce [11]. - Stripe's Agent Toolkit provides virtual cards with customizable spending limits, addressing security and spending control for agent transactions [12]. - Shopify Sidekick automates product descriptions, promotions, and order processing, serving as an AI assistant for merchants [13]. - Adyen Uplift offers middleware services for AI agents, optimizing payment routes and retry mechanisms [14]. - Operator from OpenAI marks the beginning of a general agent framework, although it currently lacks payment integration [15]. - Mastercard's AgentPay distributes virtual cards to agents, enhancing their role in payment networks [16]. - Visa's Intelligence Commerce uses network tokens for transactions, ensuring security and budget control for AI agents [17]. - PayPal's MCP Server simplifies invoice generation and payment link sharing, making it easier for small businesses to implement payment solutions [18]. Group 3: Challenges in Achieving Autonomous Agent Payment - Three core challenges in achieving agent payment autonomy include defining the agent's role and scope, addressing fraud and KYA (Know Your Agent) issues, and clarifying liability in transactions [21][23][24]. - The ambiguity surrounding the agent's authority and the merchant's ability to verify agent interactions complicates the establishment of a secure payment framework [23]. - The responsibility for costs and liabilities in transactions involving agents remains unclear, particularly in scenarios like returns [26]. Group 4: Future Models of Agent Payment - Potential future models for agent payment include collaborative checkout with human oversight, authority derived from user wallets, limited payment capabilities through virtual cards, and agents possessing their own wallets funded by stablecoins [27].

Group 1 - The article discusses the transformative impact of AI and algorithms in the fourth industrial revolution, highlighting the further atomization of individuals as they become data sources and outputs for AI models [2][4] - It emphasizes the need for society to renegotiate its social contract in light of these changes, as individuals trade freedoms for improved quality of life and convenience [1][4] - The article draws parallels between historical industrial revolutions and the current AI revolution, noting that while productivity increases, social inequalities and class divisions may also be exacerbated [6][19] Group 2 - The article points out that AI tools are being adopted more rapidly in lower-income and lower-education areas, which may lead to increased dependency on these technologies and further entrench existing social divides [19][21] - It highlights the dual nature of AI tool usage among different social classes, where lower classes may view AI as a new authority while elites use it as a supplementary resource [22][25] - The article raises concerns about the potential for skill degradation among workers who overly rely on AI tools, locking them into low-value roles and increasing the risk of job displacement [22][23] Group 3 - The article discusses the emotional implications of AI interactions, noting that individuals increasingly turn to AI for emotional support, which can lead to unhealthy dependencies and a lack of genuine human connection [26][36] - It presents case studies illustrating the dangers of AI reliance, including instances where individuals have turned to AI for psychological support, sometimes with tragic outcomes [29][31] - The article concludes with a reflection on the broader societal implications of AI, questioning whether humanity is losing its essence in the face of technological advancement [41]