{
  "title": "2026-05-25 AI Daily Update | Diffusion of Programming Power: Codex Becomes a Communication Protocol, AI-Native Workflows Reshape Organizations",
  "url": "https://miaok.ong/en/ai-daily/ai-daily-2026-05-25/",
  "date": "2026-05-25T07:00:00+08:00",
  "lastmod": "2026-05-25T07:00:00+08:00",
  "type": "ai-daily",
  "kind": "page",
  "language": "en",
  "description": "Dan Shipper\u0026rsquo;s experiment with a 30-person team confirms that large-scale AI coding by non-technical personnel is now a reality, with automation pushing people toward higher-level judgment and creativity. At the same time, OpenAI Codex is evolving from a tool into a \u0026ldquo;communication protocol\u0026rdquo; connecting the cloud, local environments, and devices, as Agent goal management becomes more engineered. Furthermore, Anthropic\u0026rsquo;s annualized revenue run rate has surged to $30 billion, and Karpathy has quietly joined the company, intensifying the industry\u0026rsquo;s tension between commercialization and safety.",
  "keywords": null,
  "tags": [],
  "categories": [],
  "author": "Mark (Miao) Kong",
  "image": "https://miaok.ong/images/avatar.jpg",
  "content": "\u003ch1 id=\"2026-05-25-ai-daily--the-diffusion-of-programming-power-codex-becomes-a-communication-protocol-ai-native-workflows-reshape-organizations\"\u003e\n  2026-05-25 AI Daily | The Diffusion of Programming Power: Codex Becomes a Communication Protocol, AI-Native Workflows Reshape Organizations\n  \u003ca class=\"heading-link\" href=\"#2026-05-25-ai-daily--the-diffusion-of-programming-power-codex-becomes-a-communication-protocol-ai-native-workflows-reshape-organizations\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h1\u003e\n\u003cblockquote\u003e\n\u003cp\u003eDan Shipper\u0026rsquo;s experiment with a 30-person team confirms that large-scale AI coding by non-technical staff is now a reality, as automation pushes humans toward higher-level judgment and creativity. Meanwhile, OpenAI Codex is evolving from a tool into a \u0026ldquo;communication protocol\u0026rdquo; connecting the cloud, local environments, and devices, and Agent goal management is becoming more engineered. Furthermore, Anthropic\u0026rsquo;s annualized revenue run-rate has surged to $30 billion, with Karpathy quietly joining, intensifying the tension between commercialization and safety philosophies in the industry.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003ch2 id=\"-deep-dive-into-this-issues-watch-list\"\u003e\n  📖 Deep Dive into This Issue\u0026rsquo;s Watch List\n  \u003ca class=\"heading-link\" href=\"#-deep-dive-into-this-issues-watch-list\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003cp\u003eToday\u0026rsquo;s two main themes both point to the same core contradiction: the unmanned future promised by AI is instead giving rise to more intensive human-computer collaboration. The paradox proposed by Dan Shipper in his latest conversation—\u0026ldquo;the more automation, the busier humans get\u0026rdquo;—combined with the vivid experiment of all 30 members of his company using AI extensively, is absolutely the most worthwhile content to break down frame-by-frame today. His prediction from a year ago that \u0026ldquo;non-technical staff will code on a large scale using Claude\u0026rdquo; has been validated by the daily workflows of editors and operations staff, which directly leads to the second unavoidable topic: the diffusion of programming power. At the same time, drawing from multiple sources today on \u0026ldquo;AI-native workflows,\u0026rdquo; we see a clear picture: future organizations won\u0026rsquo;t eliminate people but will instead push them towards higher-level judgment and creativity, requiring everyone to possess the ability to direct AI. We recommend that all engineering leaders and product managers currently designing team structures add this podcast episode to their must-listen list for the week.\u003c/p\u003e\n\u003ch2 id=\"-breaking-ai-news-on-x\"\u003e\n  🌐 Breaking AI News on X\n  \u003ca class=\"heading-link\" href=\"#-breaking-ai-news-on-x\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003ch3 id=\"topic-1-xai-completes-training-on-massive-15-trillion-parameter-grok-v9-medium\"\u003e\n  Topic 1: xAI Completes Training on Massive 1.5 Trillion Parameter Grok V9-Medium\n  \u003ca class=\"heading-link\" href=\"#topic-1-xai-completes-training-on-massive-15-trillion-parameter-grok-v9-medium\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003eCategory: AI · News\u003c/li\u003e\n\u003cli\u003eOverview: Trending Time:, Related Posts: 5900\u003c/li\u003e\n\u003cli\u003eWhat it is: xAI has completed the training of its massive 1.5 trillion parameter model, Grok V9-Medium.\u003c/li\u003e\n\u003cli\u003eWhy it matters: At 1.5 trillion parameters, this is one of the largest language models publicly trained to date. Its successful training validates the feasibility of ultra-large-scale computing clusters and distributed training techniques, potentially pushing the upper limits of model capabilities.\u003c/li\u003e\n\u003cli\u003eDiscussion overview: The discussion centers on the model\u0026rsquo;s secrecy, the lack of publicly released performance benchmarks, and comparisons of its capabilities against closed-source models like GPT-4 and Gemini. Concurrently, some question whether such a massive parameter count constitutes over-engineering and raises cost-effectiveness issues.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-2-huawei-unveils-tau-scaling-law-for-14nm-chip-density-by-2031\"\u003e\n  Topic 2: Huawei Unveils Tau Scaling Law for 1.4nm Chip Density by 2031\n  \u003ca class=\"heading-link\" href=\"#topic-2-huawei-unveils-tau-scaling-law-for-14nm-chip-density-by-2031\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003eCategory: AI · News\u003c/li\u003e\n\u003cli\u003eOverview: Trending Time: 10 hours ago, Related Posts: 14000\u003c/li\u003e\n\u003cli\u003eWhat it is: Huawei has proposed the \u0026ldquo;Tau Scaling Law,\u0026rdquo; aiming to achieve chip density equivalent to a 1.4nm process by 2031 by focusing on packaging and data rates rather than shrinking transistors.\u003c/li\u003e\n\u003cli\u003eWhy it matters: This offers a new paradigm for overcoming US chip sanctions and developing independent advanced manufacturing processes. It could reshape the evolutionary path of computing power for AI hardware, reducing the sole reliance on cutting-edge lithography.\u003c/li\u003e\n\u003cli\u003eDiscussion overview: The discussion focuses on the practical feasibility of this route, whether it can truly bypass export controls, and whether it represents a disruption of traditional Moore\u0026rsquo;s Law or is a stopgap measure for a specific, constrained environment.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-3-deepseek-makes-75-api-discount-permanent-on-v4-pro-model\"\u003e\n  Topic 3: DeepSeek Makes 75% API Discount Permanent on V4-Pro Model\n  \u003ca class=\"heading-link\" href=\"#topic-3-deepseek-makes-75-api-discount-permanent-on-v4-pro-model\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003eCategory: AI · News\u003c/li\u003e\n\u003cli\u003eOverview: Trending Time: 21 hours ago, Related Posts: 1600\u003c/li\u003e\n\u003cli\u003eWhat it is: DeepSeek announced a permanent 75% price reduction for its V4-Pro model\u0026rsquo;s API.\u003c/li\u003e\n\u003cli\u003eWhy it matters: This move significantly lowers the cost barrier for large model inference, potentially accelerating the development and commercialization of AI applications and intensifying price competition among cloud services and model providers.\u003c/li\u003e\n\u003cli\u003eDiscussion overview: The discussion focuses on whether this will trigger a new round of API price wars. Developers generally welcome the price cut, but some express concerns about long-term sustainability and the potential impact on service quality. Others see it as a signal that the commercialization of large models in the Chinese market is shifting from \u0026lsquo;pay-as-you-go\u0026rsquo; to \u0026lsquo;market penetration at scale.\u0026rsquo;\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-4-anthropics-claude-revenue-surges-to-30-billion-run-rate-amid-philosophical-buzz\"\u003e\n  Topic 4: Anthropic\u0026rsquo;s Claude Revenue Surges to $30 Billion Run-Rate Amid Philosophical Buzz\n  \u003ca class=\"heading-link\" href=\"#topic-4-anthropics-claude-revenue-surges-to-30-billion-run-rate-amid-philosophical-buzz\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003eCategory: AI · News\u003c/li\u003e\n\u003cli\u003eOverview: Trending Time:, Related Posts: 334\u003c/li\u003e\n\u003cli\u003eWhat it is: The annualized revenue run-rate for the Claude model from AI startup Anthropic has surged to $30 billion, attracting widespread attention.\u003c/li\u003e\n\u003cli\u003eWhy it matters: This marks an acceleration in the commercialization of cutting-edge large models, validating that an AI product differentiated by its safety philosophy can also achieve explosive growth, potentially reshaping the AI industry landscape.\u003c/li\u003e\n\u003cli\u003eDiscussion overview: Current discussions are focused on two aspects: first, an analysis of the enterprise customer penetration rate behind its staggering revenue growth; and second, a debate over whether Anthropic\u0026rsquo;s long-standing \u0026ldquo;AI safety philosophy\u0026rdquo; is a genuine defensive moat or simply a brand marketing strategy.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-5-andrej-karpathy-joins-anthropic-as-member-of-technical-staff\"\u003e\n  Topic 5: Andrej Karpathy Joins Anthropic as Member of Technical Staff\n  \u003ca class=\"heading-link\" href=\"#topic-5-andrej-karpathy-joins-anthropic-as-member-of-technical-staff\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003eCategory: AI · Other\u003c/li\u003e\n\u003cli\u003eOverview: Trending since: 1 day ago, Related posts: 4,500\u003c/li\u003e\n\u003cli\u003eWhat Happened: Renowned AI researcher and former head of AI at OpenAI and Tesla, Andrej Karpathy, announced he is joining Anthropic as a member of the technical staff.\u003c/li\u003e\n\u003cli\u003eWhy it matters: Karpathy has significant influence in deep learning, computer vision, and language models. His addition will considerably strengthen Anthropic\u0026rsquo;s capabilities in AI safety and advanced model research and could impact talent-flow dynamics in the industry.\u003c/li\u003e\n\u003cli\u003eDiscussion Summary: Discussions are focused on why Karpathy chose Anthropic over returning to OpenAI or starting his own venture. The general consensus is that this highlights the appeal of Anthropic\u0026rsquo;s safety-focused philosophy. Some also noted his title is \u0026ldquo;member of technical staff\u0026rdquo; rather than an executive role, speculating that he might be seeking more freedom for independent research.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"summary-of-todays-ai-public-opinion-on-x\"\u003e\n  Summary of Today\u0026rsquo;s AI Public Opinion on X\n  \u003ca class=\"heading-link\" href=\"#summary-of-todays-ai-public-opinion-on-x\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h4\u003e\n\u003cp\u003eToday\u0026rsquo;s main AI narrative revolves around the tension between the race for scale, technological breakthroughs, and commercialization. The industry consensus is that the commercialization of large models has accelerated significantly. From DeepSeek\u0026rsquo;s aggressive price cuts to capture market share to Anthropic\u0026rsquo;s explosive revenue growth, it\u0026rsquo;s clear that companies are shifting from competing on performance to pursuing large-scale market penetration. Disagreements, however, are centered on implementation paths and long-term value. xAI\u0026rsquo;s massive-parameter model is being questioned for potential over-engineering and cost-effectiveness issues. It remains undecided whether Huawei\u0026rsquo;s \u0026ldquo;Tau Scaling Law\u0026rdquo; is a paradigm-shifting revolution to overcome chip restrictions or a temporary solution born from a constrained environment. Meanwhile, the debate over whether Anthropic\u0026rsquo;s safety philosophy is a genuine competitive moat or just brand packaging has intensified with Karpathy joining as a regular technical staff member. Potential risks include intense price wars eroding industry sustainability and an excessive chase for more parameters or alternative techniques leading to resource misallocation and an artificial boom. At the same time, the accelerated consolidation of top talent and capital towards a few entities championing a \u0026ldquo;safety narrative\u0026rdquo; could exacerbate the conflict between long-term safety principles and tech-pragmatism under industry-wide commercialization pressure.\u003c/p\u003e\n\u003ch2 id=\"-influencer-insights\"\u003e\n  💡 Influencer Insights\n  \u003ca class=\"heading-link\" href=\"#-influencer-insights\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003cp\u003eBased on the content of tweets from AI influencers over the past 24 hours, here is the industry report extracted and summarized for you.\u003c/p\u003e\n\u003chr\u003e\n\u003ch1 id=\"ai-daily-2026-05-25\"\u003e\n  AI Daily (2026-05-25)\n  \u003ca class=\"heading-link\" href=\"#ai-daily-2026-05-25\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h1\u003e\n\u003ch2 id=\"1-key-tech-trends-and-hot-products\"\u003e\n  1. Key Tech Trends and Hot Products\n  \u003ca class=\"heading-link\" href=\"#1-key-tech-trends-and-hot-products\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003cp\u003eToday, influencers\u0026rsquo; conversations are highly focused on the \u003cstrong\u003eengineering implementation of AI Agents and their deep integration into workflows\u003c/strong\u003e. In particular, endpoint Agent products, represented by OpenAI Codex, are evolving from \u0026ldquo;tools\u0026rdquo; into \u0026ldquo;collaborators.\u0026rdquo;\u003c/p\u003e\n\u003ch3 id=\"-codex-a-full-scale-invasion-from-browser-to-os\"\u003e\n  🤖 Codex: A Full-Scale Invasion, from Browser to OS\n  \u003ca class=\"heading-link\" href=\"#-codex-a-full-scale-invasion-from-browser-to-os\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cp\u003eCodex is the undisputed focus today. Influencers are paying attention not just to its features, but to the work paradigm shift it is triggering.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBrowser Capabilities Become Standard\u003c/strong\u003e: @zhixianio and @Pluvio9yte both highly praised Codex\u0026rsquo;s \u003ccode\u003e@chrome\u003c/code\u003e capability. @Pluvio9yte stated directly that this is the most efficient way to replicate a front-end page, requiring only the command \u003ccode\u003e@chrome 帮我复刻 xxx.xx 的页面\u003c/code\u003e, with results superior to manually capturing DOM or HAR files.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eGoal-Driven and Long-Task Management\u003c/strong\u003e: The \u003ccode\u003e/goal\u003c/code\u003e mode is seen as the key differentiator between a \u0026ldquo;tool\u0026rdquo; and an \u0026ldquo;assistant.\u0026rdquo; @zhixianio shared a case where they spent several hours building a local information filtering tool with it and pointed out a hidden use for \u003ccode\u003e/goal clear\u003c/code\u003e. @dotey provided a detailed analysis of management techniques for Goal mode, including using \u003ccode\u003e/side\u003c/code\u003e to open a Side Chat for monitoring long-task progress, and how to use the panel to pause, edit, and Steer (task intervention), elevating the agent\u0026rsquo;s task flow management to a project level.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBecoming a Foundational Communication Protocol\u003c/strong\u003e: @vista8 discovered that ChatGPT can remotely call a local instance of Codex, allowing them to command their computer via phone to generate and publish music during a fishing break. This implies that Codex is becoming a \u0026ldquo;communication protocol\u0026rdquo; connecting cloud models with local computing power and between different devices.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"-agent-engineering-and-ecosystem-building\"\u003e\n  ⚙️ Agent Engineering and Ecosystem Building\n  \u003ca class=\"heading-link\" href=\"#-agent-engineering-and-ecosystem-building\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cp\u003eThe Agent ecosystem is evolving from isolated tools to an interconnected network.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMulti-Agent Deployment and Communication Bridges\u003c/strong\u003e: @dotey provided an in-depth analysis and recommendation for \u003cstrong\u003efeishu-claude-code-bridge\u003c/strong\u003e, a project that allows users to command Claude Code directly from within Feishu, enabling two-way \u0026ldquo;IM Message ↔ Agent CLI\u0026rdquo; operations. @ruanyf also pointed out that Feishu\u0026rsquo;s open-source CLI toolkit is the most feature-complete for Agent integration, with over 10,000 stars, signaling that office automation is becoming a key scenario for Agent implementation. @zhixianio also mentioned that Telegram supports bots managing other bots, which facilitates multi-agent deployment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eRevolution in Development Paradigms\u003c/strong\u003e: @Pluvio9yte, addressing the pain point of \u0026ldquo;not knowing what you\u0026rsquo;ve written after vibe-coding,\u0026rdquo; recommends the \u003cstrong\u003eopensec\u003c/strong\u003e development paradigm. It generates detailed process documentation for Claude Code, Codex, Cursor, etc., shifting AI programming from \u0026ldquo;freestyle improvisation\u0026rdquo; to \u0026ldquo;traceable engineering.\u0026rdquo;\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"-fortifying-the-compute-foundation-for-on-device-models\"\u003e\n  💻 Fortifying the Compute Foundation for On-Device Models\n  \u003ca class=\"heading-link\" href=\"#-fortifying-the-compute-foundation-for-on-device-models\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eHardware Platforms Are Ready\u003c/strong\u003e: @zhixianio noted that AMD has released the \u003cstrong\u003eRyzen AI Halo\u003c/strong\u003e mini-PC, specifically designed for running LLMs locally. Combined with his previous attention to the Qwen on-device model and Mac Studio, this indicates the industry is actively building up the compute foundation for an explosion in on-device models. This also resonates with his judgment that Anthropic might implement KYC due to high demand, leading to the approach of \u0026ldquo;big tech tyranny,\u0026rdquo; making on-device models a crucial counterbalancing force.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2 id=\"2-noteworthy-unique-perspectives-and-industry-foresight\"\u003e\n  2. Noteworthy Unique Perspectives and Industry Foresight\n  \u003ca class=\"heading-link\" href=\"#2-noteworthy-unique-perspectives-and-industry-foresight\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026ldquo;Markdown is the language of AI, HTML is the language of humans\u0026rdquo;\u003c/strong\u003e — @Pluvio9yte\nThis is a highly insightful perspective. It precisely defines the division of labor for information formats in current human-computer interaction: AI excels at generating structured Markdown, while the final visual presentation and interactive experience (HTML) are designed for humans. This offers a new direction for AI content output standards: having AI output both \u003ccode\u003e.md\u003c/code\u003e and \u003ccode\u003e.html\u003c/code\u003e formats may be the best practice for balancing efficiency and user experience.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026quot;\u0026lsquo;Content Assetization\u0026rsquo; in the Age of Agents\u0026quot;\u003c/strong\u003e — @AI_Jasonyu\nHe imported all his content from the past three years into Obsidian and fed it to Claude for \u0026ldquo;style distillation.\u0026rdquo; His practice highlights that \u003cstrong\u003eevery piece of content you publish today is training data for your future personal AI\u003c/strong\u003e. This is not just a personal branding technique, but a forward-looking \u0026ldquo;digital asset\u0026rdquo; accumulation strategy—making AI an extension of your own style, not a replacement. @Pluvio9yte corroborated this from the opposite angle, observing that reports written by interns who heavily use AI have a strong \u0026ldquo;AI flavor.\u0026rdquo; This raises a new warning: \u003cstrong\u003eAI is not just learning from humans, it is also assimilating them\u003c/strong\u003e, making it a new challenge to maintain a unique style.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026ldquo;The Best Practice for Browser Agents is \u0026lsquo;Verifiable Research\u0026rsquo;\u0026rdquo;\u003c/strong\u003e — @Pluvio9yte\nHe provided clear boundaries for the application of browser agents: their most suitable initial use is not placing orders, but \u003cstrong\u003econducting web research with source verification\u003c/strong\u003e. He proposed a five-element output standard: \u0026ldquo;source, time, field, conclusion, blank,\u0026rdquo; and emphasized that \u0026ldquo;research without sources is essentially just chat-based generation.\u0026rdquo; This offers a highly practical methodology for using agents reliably.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIndustry Wake-Up Calls and Reflections\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe Murky Waters and Backlash of AI Content\u003c/strong\u003e: @Pluvio9yte exposed the chaotic commercialization of proxy review websites that \u0026ldquo;want to have their cake and eat it too,\u0026rdquo; warning that industry transparency is eroding. Meanwhile, @gefei55 revealed the phenomenon of AI tool sites using \u003cstrong\u003elow-quality traffic from sources like \u0026ldquo;Youtube Downloaders\u0026rdquo; to inflate their numbers\u003c/strong\u003e and deceive investors, sounding an alarm for capital and data professionals.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eThe Disappearance of Software Moats\u003c/strong\u003e: The point previously made by @ruanyf that \u0026ldquo;\u003cstrong\u003ethe moat of code no longer exists; testing is the new moat\u003c/strong\u003e\u0026rdquo; still resonates today. When AI can replicate Next.js for $1,100, the key to preventing replication is no longer the code itself, but the test cases that define the product\u0026rsquo;s behavior and quality.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePhilosophical and Business Reflections\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e@lijigang\u003c/strong\u003e, analyzing from a cybernetics perspective, states that \u003cstrong\u003e\u0026ldquo;constraints\u0026rdquo; are key to understanding corporate and individual behavior\u003c/strong\u003e, as they carve out a predictable space for action. This is not only an interpretation of AI logic but also a methodology for observing the business world.\u003c/li\u003e\n\u003cli\u003eThe business logic behind the $150/month unlimited AI package shared by \u003cstrong\u003e@gefei55\u003c/strong\u003e reveals that \u003cstrong\u003e\u0026ldquo;selling certainty (eliminating quota anxiety)\u0026rdquo; is itself a high-profit business model\u003c/strong\u003e. The premium customers pay for \u0026ldquo;peace of mind\u0026rdquo; far exceeds the cost of their actual usage.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003ch2 id=\"3-recommended-tools-and-resources\"\u003e\n  3. Recommended Tools and Resources\n  \u003ca class=\"heading-link\" href=\"#3-recommended-tools-and-resources\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eOpen Source Projects and Tools\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003efeishu-claude-code-bridge / lark-channel-bridge\u003c/strong\u003e: Developed by @zarazhangrui, strongly recommended by @dotey. It allows you to direct Claude Code in Feishu (Lark) just like chatting with a colleague, with two-way operations for files and documents.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eopensec\u003c/strong\u003e: A development paradigm tool recommended by @Pluvio9yte. It supports Claude Code, Codex, Cursor, etc., providing detailed process documentation for AI-generated code and turning \u0026ldquo;Vibe Coding\u0026rdquo; into \u0026ldquo;Documented Engineering.\u0026rdquo;\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCloakBrowser\u003c/strong\u003e: A new open-source browser automation solution discovered by @Pluvio9yte. It\u0026rsquo;s based on source-level modifications to Chromium and claims to be able to stably pass security checks like Cloudflare, representing a new direction for stealth browsers.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCapcap\u003c/strong\u003e: An open-source Mac screenshot tool shared by @jaywcjlove and forwarded by @dotey, which integrates window snapping, scrolling screenshots, and annotation.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eYY远程 (UU Remote)\u003c/strong\u003e: A free remote desktop solution reviewed in detail and recommended by @Pluvio9yte, who specifically noted its excellent support for keyboard and terminal control on the iPad, making it ideal for connecting to a primary machine for troubleshooting or development from a lightweight device anytime, anywhere.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIndustry Resources \u0026amp; Best Practices\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003ePDF Report on OpenAI\u0026rsquo;s Internal Use of Codex\u003c/strong\u003e: @Pluvio9yte shared this internal document, revealing how its security, infrastructure, and frontend teams use Codex daily for codebase understanding, refactoring, and test generation. It serves as a firsthand resource for understanding the internal practices at a leading AI company.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eTranslation of \u0026ldquo;DeepSeek\u0026rsquo;s $10 Trillion Grand Strategy\u0026rdquo;\u003c/strong\u003e: An article shared and translated by @dotey, offering a perspective on DeepSeek\u0026rsquo;s macro strategy.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eReuters \u0026ldquo;AI and News\u0026rdquo; Report\u003c/strong\u003e: Cited by @vista8, data from this report shows that only 12% of the public is comfortable with purely AI-generated news, whereas the \u0026ldquo;human-led, AI-assisted\u0026rdquo; model has a 43% acceptance rate, pointing the way forward for the content creation industry.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2 id=\"-appendix-todays-watch-list-source-updates\"\u003e\n  📚 Appendix: Today\u0026rsquo;s Watch List Source Updates\n  \u003ca class=\"heading-link\" href=\"#-appendix-todays-watch-list-source-updates\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003cblockquote\u003e\n\u003cp\u003eTimeframe: Last 3 days; covers 16 sources; 1 update in total\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003ch3 id=\"lennys-podcast-a_full\"\u003e\n  Lenny\u0026rsquo;s Podcast (A_full)\n  \u003ca class=\"heading-link\" href=\"#lennys-podcast-a_full\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ca href=\"https://www.lennysnewsletter.com/p/the-ai-paradox-dan-shipper\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003eThe AI paradox: More automation, more humans, more work | Dan Shipper\u003c/a\u003e\u003c/strong\u003e\n\u003cul\u003e\n\u003cli\u003ePublished: 2026-05-24 20:31 Beijing Time\u003c/li\u003e\n\u003cli\u003eAbstract: - Dan Shipper is the co-founder and CEO of Every, a media and software company that has become a living laboratory for the future of work.\n\u003cul\u003e\n\u003cli\u003eHis company has about 30 employees, and everyone is an AI early adopter; from editors to operations staff, they use artificial intelligence to do most of their work, giving everyone a unique perspective on where the world is heading.\u003c/li\u003e\n\u003cli\u003eA year ago on this show, Dan predicted that people would rely on Claude Code for non-technical work, which proved to be remarkably prescient.\u003c/li\u003e\n\u003cli\u003eToday he\u0026rsquo;s back with another set of calls: the SaaS apocalypse is dumb, CLIs are over, the forward-deployed engineer is the most valuable new hire, and to keep your job, the only thing you need to do is master the models.\u003c/li\u003e\n\u003cli\u003eThe future of work will happen inside Codex or Claude Code.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eKey Points (EN):\n\u003cul\u003e\n\u003cli\u003eDan Shipper is the co-founder and CEO of Every, a media and software company that’s become a living laboratory for the future of work\u003c/li\u003e\n\u003cli\u003eEveryone at his company of about 30 people is an AI early adopter; from editors to ops people, they use AI to do much of their work, giving Every a unique lens…\u003c/li\u003e\n\u003cli\u003eA year ago on this show, Dan predicted that people were sleeping on Claude Code for nontechnical work, which proved to be remarkably prescient\u003c/li\u003e\n\u003cli\u003eToday he’s back with another set of calls: the SaaS apocalypse is dumb, CLIs are over, the forward deployed engineer is the most valuable new hire, and the only…\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n",
  "wordCount": 2818,
  "readingTime": 14,
  "tableOfContents": "\u003cnav id=\"TableOfContents\"\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"#-deep-dive-into-this-issues-watch-list\"\u003e📖 Deep Dive into This Issue\u0026rsquo;s Watch List\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#-breaking-ai-news-on-x\"\u003e🌐 Breaking AI News on X\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#topic-1-xai-completes-training-on-massive-15-trillion-parameter-grok-v9-medium\"\u003eTopic 1: xAI Completes Training on Massive 1.5 Trillion Parameter Grok V9-Medium\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-2-huawei-unveils-tau-scaling-law-for-14nm-chip-density-by-2031\"\u003eTopic 2: Huawei Unveils Tau Scaling Law for 1.4nm Chip Density by 2031\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-3-deepseek-makes-75-api-discount-permanent-on-v4-pro-model\"\u003eTopic 3: DeepSeek Makes 75% API Discount Permanent on V4-Pro Model\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-4-anthropics-claude-revenue-surges-to-30-billion-run-rate-amid-philosophical-buzz\"\u003eTopic 4: Anthropic\u0026rsquo;s Claude Revenue Surges to $30 Billion Run-Rate Amid Philosophical Buzz\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-5-andrej-karpathy-joins-anthropic-as-member-of-technical-staff\"\u003eTopic 5: Andrej Karpathy Joins Anthropic as Member of Technical Staff\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#-influencer-insights\"\u003e💡 Influencer Insights\u003c/a\u003e\u003c/li\u003e\n  \u003c/ul\u003e\n\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"#1-key-tech-trends-and-hot-products\"\u003e1. Key Tech Trends and Hot Products\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#-codex-a-full-scale-invasion-from-browser-to-os\"\u003e🤖 Codex: A Full-Scale Invasion, from Browser to OS\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#-agent-engineering-and-ecosystem-building\"\u003e⚙️ Agent Engineering and Ecosystem Building\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#-fortifying-the-compute-foundation-for-on-device-models\"\u003e💻 Fortifying the Compute Foundation for On-Device Models\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#2-noteworthy-unique-perspectives-and-industry-foresight\"\u003e2. Noteworthy Unique Perspectives and Industry Foresight\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#3-recommended-tools-and-resources\"\u003e3. Recommended Tools and Resources\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#-appendix-todays-watch-list-source-updates\"\u003e📚 Appendix: Today\u0026rsquo;s Watch List Source Updates\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#lennys-podcast-a_full\"\u003eLenny\u0026rsquo;s Podcast (A_full)\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \u003c/li\u003e\n  \u003c/ul\u003e\n\u003c/nav\u003e",
  "isDraft": false
}