{
  "title": "2026-06-23 AI Daily Update | OpenAI Pushes AI Towards Secure Infrastructure, Edge Models Enter Deployment Window",
  "url": "https://miaok.ong/en/ai-daily/ai-daily-2026-06-23/",
  "date": "2026-06-23T07:00:00+08:00",
  "lastmod": "2026-06-23T07:00:00+08:00",
  "type": "ai-daily",
  "kind": "page",
  "language": "en",
  "description": "Today\u0026rsquo;s main theme is AI moving from demonstration to infrastructure: OpenAI is combining Codex with cybersecurity and open-source maintenance, while Google is strengthening Gemini API production capabilities. Simultaneously, edge-side models, multimodal capabilities, and AI programming tools are accelerating their maturity, and the industry\u0026rsquo;s competitive focus is shifting towards cost, reliability, and engineering implementation.",
  "keywords": null,
  "tags": [],
  "categories": [],
  "author": "Mark (Miao) Kong",
  "image": "https://miaok.ong/images/avatar.jpg",
  "content": "\u003ch1 id=\"2026-06-23-ai-daily--openai-pushes-ai-towards-secure-infrastructure-edge-models-enter-implementation-window\"\u003e\n  2026-06-23 AI Daily | OpenAI Pushes AI Towards Secure Infrastructure, Edge Models Enter Implementation Window\n  \u003ca class=\"heading-link\" href=\"#2026-06-23-ai-daily--openai-pushes-ai-towards-secure-infrastructure-edge-models-enter-implementation-window\"\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\u003eThe main theme today is AI moving from demonstration to infrastructure: OpenAI combines Codex with cybersecurity and open-source maintenance, and Google strengthens Gemini API production capabilities; at the same time, edge models, multimodal AI, and AI programming tools are accelerating their maturity, and the industry competition focus is shifting to cost, reliability, and engineering implementation.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003ch2 id=\"-in-depth-guide-to-this-issues-watch-list\"\u003e\n  📖 In-depth Guide to This Issue\u0026rsquo;s Watch List\n  \u003ca class=\"heading-link\" href=\"#-in-depth-guide-to-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, the most noteworthy point is the two main threads of \u0026ldquo;AI moving from demonstration to infrastructure.\u0026rdquo; OpenAI continuously released Daybreak, Patch the Planet, and long-term Codex work practices. The focus is not on showing off model capabilities, but on embedding AI into security defense, open-source maintenance, and complex engineering collaboration processes. Security teams and platform engineering teams should read this in detail.\u003c/p\u003e\n\u003cp\u003eAnother thread is the friction between major tech companies\u0026rsquo; AI commercialization and regulation. Apple\u0026rsquo;s price increase and Apple Intelligence\u0026rsquo;s obstruction in the EU remind us that AI features are not just product capabilities, but are also constrained by pricing, regional compliance, and ecosystem control.\u003c/p\u003e\n\u003cp\u003eIn addition, discussions related to DeepSeek continue to focus on cost and efficiency issues, which are suitable for comparison with the OpenAI infrastructure narrative above: industry competition is shifting from \u0026ldquo;whose model is stronger\u0026rdquo; to \u0026ldquo;who can implement more cost-effectively and reliably.\u0026rdquo;\u003c/p\u003e\n\u003ch2 id=\"-x-platform-ai-hot-news\"\u003e\n  🌐 X Platform AI Hot News\n  \u003ca class=\"heading-link\" href=\"#-x-platform-ai-hot-news\"\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-googles-interactions-api-for-gemini-reaches-general-availability\"\u003e\n  Topic 1: Google\u0026rsquo;s Interactions API for Gemini Reaches General Availability\n  \u003ca class=\"heading-link\" href=\"#topic-1-googles-interactions-api-for-gemini-reaches-general-availability\"\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: Hotness time: 5 hours ago, related posts: 520\u003c/li\u003e\n\u003cli\u003eWhat happened: Google announced that the Interactions API for Gemini has officially reached GA, available for developers to build more stable multi-turn interactive AI applications in production environments.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: This means Google is strengthening Gemini\u0026rsquo;s developer ecosystem and enterprise usability, further competing with OpenAI and other competitors beyond model capabilities for APIs, toolchains, and application entry points.\u003c/li\u003e\n\u003cli\u003eDiscussion overview: Discussions on X mainly focused on whether Google can narrow the productization gap with OpenAI, the stability and ease of use of the Gemini API, and whether the long-term OpenAI-dominated AI narrative will change.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-2-vibecoding-takes-off-as-ai-coding-trend\"\u003e\n  Topic 2: Vibecoding Takes Off as AI Coding Trend\n  \u003ca class=\"heading-link\" href=\"#topic-2-vibecoding-takes-off-as-ai-coding-trend\"\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: Hotness time: [[OC_PH_TIME_2]], related posts: 70\u003c/li\u003e\n\u003cli\u003eWhat happened: \u0026ldquo;Vibe coding,\u0026rdquo; a development method that uses natural language prompts to drive AI to quickly generate applications and code, is gaining attention and controversy on X.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: It lowers the barrier to software development, reflecting the trend of AI programming tools moving from assisted completion to end-to-end generation, but it also exposes critical issues such as code security, maintainability, technical debt, and developer skill development.\u003c/li\u003e\n\u003cli\u003eDiscussion overview: The discussion focuses on the trade-off between efficiency and risk: supporters believe it enables non-programmers to validate ideas faster and improve productivity; critics worry about a large number of unaudited AI-generated applications leading to security vulnerabilities, low-quality products, and industry noise, and question whether blindly chasing the AI narrative is diluting true technical value.\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 public opinion revolves around \u0026ldquo;AI shifting from model capability competition to application implementation and development paradigm reshaping\u0026rdquo;: Google\u0026rsquo;s launch of Gemini Interactions API GA is seen as catching up with OpenAI in terms of developer ecosystem, enterprise stability, and toolchain entry points; while the rise of \u0026ldquo;Vibe coding\u0026rdquo; shows that AI is further pushing software development towards natural language-driven and low-threshold approaches. The consensus is that AI development tools are significantly improving prototype building and application production efficiency, and the focus of platform competition is no longer just model parameters and rankings, but rather the ability to stably and easily serve real production scenarios. The divergence lies in supporters valuing speed, inclusivity, and innovation diffusion more, while critics worry that the productization narrative is being over-amplified, obscuring issues such as code quality, security audits, long-term maintenance, and the degradation of developers\u0026rsquo; fundamental skills. The potential risk is that if platform API stability, generated code governance, and responsibility boundaries do not keep up, it could foster a large number of fragile applications, technical debt, and security vulnerabilities, and intensify the industry\u0026rsquo;s blind pursuit of short-term AI hotspots.\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\u003eThe following is a distillation and analysis of trends based on tweets from multiple AI influencers within the past 24 hours.\u003c/p\u003e\n\u003ch3 id=\"1-todays-common-technical-trends-or-product-hotspots-among-influencers\"\u003e\n  1. Today\u0026rsquo;s common technical trends or product hotspots among influencers\n  \u003ca class=\"heading-link\" href=\"#1-todays-common-technical-trends-or-product-hotspots-among-influencers\"\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\u003eToday\u0026rsquo;s hotspots are highly concentrated in \u003cstrong\u003e\u0026ldquo;edge model capability maturity\u0026rdquo;\u003c/strong\u003e and \u003cstrong\u003e\u0026ldquo;AI programming tool paradigm upgrade\u0026rdquo;\u003c/strong\u003e in two directions.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eThe explosion and engineering implementation of edge models\u003c/strong\u003e\nThe community\u0026rsquo;s focus on on-device models has shifted from \u0026ldquo;whether they can be used\u0026rdquo; to \u0026ldquo;how to use them well in production environments.\u0026rdquo; @zhixianio expressed great satisfaction with the full-duplex audio and video performance of \u003cstrong\u003eMiniCPM-o 4.5\u003c/strong\u003e, calling it a \u0026ldquo;Good job\u0026rdquo; for a 9B model to reach this level, and pointed out stability issues that need future optimization. Meanwhile, while testing \u003cstrong\u003eGemma 4 12B Coder\u003c/strong\u003e, he conducted a practical comparison with Qwen3.6-35B-A3B and rigorously concluded that \u0026ldquo;a 12B model cannot handle long, stateful, complex programs,\u0026rdquo; reinforcing the understanding of the capability boundaries of on-device models. Google\u0026rsquo;s \u003cstrong\u003eQuantization Aware Training (QAT)\u003c/strong\u003e technology was also highlighted by @zhixianio, who believes that this approach of specializing for quantization during the training phase is key to making on-device models truly viable.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eThe \u0026lsquo;Capability Spillover\u0026rsquo; and \u0026lsquo;Paradigm Solidification\u0026rsquo; of AI Programming Tools\u003c/strong\u003e\nAI programming is no longer limited to code completion.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eNew Feature Launch\u003c/strong\u003e: @dotey provided a detailed explanation of \u003cstrong\u003eCodex\u0026rsquo;s Handoff feature\u003c/strong\u003e, which allows for the seamless migration of code state and task context to a remote server for continued execution. This marks the deep integration of AI programming tools into distributed workflows.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eAutomated Workflows\u003c/strong\u003e: @AI_Jasonyu described \u003cstrong\u003eCodex\u0026rsquo;s Record \u0026amp; Replay\u003c/strong\u003e feature as a combination of \u0026ldquo;Super RPA + Macro Recorder + Computer Use,\u0026rdquo; signaling that AI is beginning to take over repetitive user interface tasks.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eShift in Mindset\u003c/strong\u003e: @gefei55 proposed a very radical \u0026ldquo;no-code\u0026rdquo; programming view, stating that he no longer looks at code at all because the AI\u0026rsquo;s coding ability has surpassed that of the average programmer. His role has shifted to being purely a \u0026ldquo;product manager/director.\u0026rdquo;\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAI-Native Knowledge Management and Structuring\u003c/strong\u003e\nGoing beyond conversation, how to distill AI-digested knowledge into personal or corporate assets has become a prominent topic. @Pluvio9yte enthusiastically recommended Tencent\u0026rsquo;s \u003cstrong\u003eWeKnora\u003c/strong\u003e. Its \u0026ldquo;self-maintaining Wiki + Knowledge Graph\u0026rdquo; capability reveals that the next form of enterprise-level RAG is a self-growing knowledge base. @AI_Jasonyu, from an individual user\u0026rsquo;s perspective, shared a product idea where memories and habits learned by an AI can follow the user across devices and applications, resisting a data flywheel that primarily benefits others.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"2-noteworthy-unique-perspectives-or-industry-foresight\"\u003e\n  2. Noteworthy Unique Perspectives or Industry Foresight\n  \u003ca class=\"heading-link\" href=\"#2-noteworthy-unique-perspectives-or-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/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eParadigm Shift from \u0026lsquo;Correlation\u0026rsquo; to \u0026lsquo;Causality\u0026rsquo;\u003c/strong\u003e\n@Pluvio9yte provided an in-depth analysis of \u003cstrong\u003eAether AI\u003c/strong\u003e and the \u003cstrong\u003eCausal World Models\u003c/strong\u003e proposed by Professor Biwei Huang. He pointed out that current large models imitate based on data correlation and cannot deduce the physical logic that \u0026ldquo;pouring water into a cup with a hole will cause it to leak.\u0026rdquo; Causal reasoning is the key to solving high-risk, high-stability tasks like embodied intelligence and scientific discovery. This is an observation of a significant technological fork in the road beyond the dominance of Scaling Laws.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eThe \u0026lsquo;Sweet Spot\u0026rsquo; Theory for On-Device Models\u003c/strong\u003e\n@zhixianio concluded from practice that a well-optimized \u003cstrong\u003e35B MoE model (Qwen3.6-35B-A3B)\u003c/strong\u003e in PA and Coding scenarios already has a faster response time than remote LLMs, and its native multimodal experience is even superior to cloud-based solutions. This is not just a benchmark result; it also suggests that in future hybrid AI architectures, specifically sized on-device models could replace the cloud and become the primary entry point for daily tasks.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eThe Maintenance Philosophy of AGENTS.md: From Rule Caching to Engineering Patches\u003c/strong\u003e\nRegarding the popular practice of \u0026ldquo;updating AGENTS.md whenever an error occurs,\u0026rdquo; @dotey offered a sharp but pragmatic critique. He argues that if a bug can be caught by tests, a test should be written. If it can be prevented by a process, the process should be changed. Only errors caused by the AI\u0026rsquo;s lack of understanding of project-specific conventions are suitable for inclusion in AGENTS.md. This perspective pulls the practice of maintaining AI context back from \u0026ldquo;messy sticky notes\u0026rdquo; to rigorous software engineering.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMonetization of AI Capabilities and Skill Evolution\u003c/strong\u003e\n@ruanyf mentioned that a Cloudflare engineer spent $1100 in token fees to have an AI replicate Next.js, leading to the conclusion: \u0026ldquo;\u003cstrong\u003eThe moat of code no longer exists; testing is the new moat.\u003c/strong\u003e\u0026rdquo; This echoes @gefei55\u0026rsquo;s view that as the cost of code implementation approaches zero, value will shift more intensively to requirements definition, architectural design, and quality assurance.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"3-recommended-tools-or-resources\"\u003e\n  3. Recommended Tools or Resources\n  \u003ca class=\"heading-link\" href=\"#3-recommended-tools-or-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/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAI Programming and Productivity\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eFable\u003c/strong\u003e (recommended by @zhixianio): Anthropic\u0026rsquo;s next-generation programming agent, which demonstrates end-to-end capabilities in complex engineering tasks, from correcting design flaws to autonomous completion. It\u0026rsquo;s described as being able to \u0026ldquo;point out where your design is unreasonable and implement a better solution on its own.\u0026rdquo;\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCodex Record \u0026amp; Replay\u003c/strong\u003e (mentioned by @AI_Jasonyu, @xiaohu): Automatically records and replays browser actions for automating complex and repetitive web-based workflows.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCodex Handoff\u003c/strong\u003e (mentioned by @dotey): Migrates programming tasks across devices, enabling an asynchronous development experience to \u0026ldquo;edit on the go and continue running at home.\u0026rdquo;\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDevSpace\u003c/strong\u003e (introduced by @gefei55): Empowers the ChatGPT web interface with Codex-like local code read/write capabilities via MCP, and supports invoking the most powerful models for planning, achieving \u0026ldquo;double quotas\u0026rdquo; and resource mismatch.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eModels \u0026amp; Knowledge Management\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eWeKnora\u003c/strong\u003e (introduced by @Pluvio9yte): An open-source, \u0026ldquo;self-growing knowledge base\u0026rdquo; from Tencent that deeply integrates RAG, Agent, and knowledge graphs, suitable for enterprise-level document management.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003ePP-OCRv6\u003c/strong\u003e (recommended by @AI_Jasonyu): A lightweight OCR model from Baidu that, at only 1.5MB, can run in a browser and surpasses hundred-billion-parameter large models in accuracy for specific scenarios.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eoMLX v0.4.0\u003c/strong\u003e (mentioned by @zhixianio, @jundotkim): An inference tool for running MLX models natively on macOS. It supports native MTP acceleration and is a key component for the on-device model experience.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCreativity \u0026amp; Design\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eCowart\u003c/strong\u003e (recommended by @vista8, @dotey): An infinite canvas tool integrated with Codex that supports direct, \u0026ldquo;point-and-generate\u0026rdquo; AI image creation and annotation on the canvas.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eQiaomu Icon Design Skill\u003c/strong\u003e (open-sourced by @vista8): A toolchain that integrates Imagen image generation and a vast library of SVG icons, enabling you to generate icons for apps or webpages with a single command to Codex.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003egetdesign.md\u003c/strong\u003e (recommended by @Pluvio9yte): A collection of design system files from top products like Linear and Vercel. Feeding these to an AI can significantly eliminate the generic \u0026ldquo;AI look\u0026rdquo; from generated UIs.\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; 22 sources covered; 6 updates in total\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003ch3 id=\"acquiredfm-a_full\"\u003e\n  Acquired.fm (A_full)\n  \u003ca class=\"heading-link\" href=\"#acquiredfm-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.acquired.fm/episodes/the-walt-disney-company\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003eThe Walt Disney Company\u003c/a\u003e\u003c/strong\u003e\n\u003cul\u003e\n\u003cli\u003ePublished: 2026-06-22 13:54 Beijing Time\u003c/li\u003e\n\u003cli\u003eSummary: - The Walt Disney Company is the most successful enterprise ever created by monetizing human nostalgia.\n\u003cul\u003e\n\u003cli\u003eToday, it is the king of global entertainment, holding the intellectual property rights to the childhood memories of billions of people (likely including all of you), and is a reliable, predictable, and profitable business.\u003c/li\u003e\n\u003cli\u003eIn Walt\u0026rsquo;s era, Disney operated like an unhinged moonshot factory, exhausting its funds on one seemingly crazy project after another, such as the first feature-length animated film or a theme park inspired by Walt\u0026rsquo;s fascination with model trains (spoiler: Disneyland).\u003c/li\u003e\n\u003cli\u003eWalt\u0026rsquo;s relentless ambition, betting the company time and again, not only created some of the most enduring artistic achievements of the 20th century (Snow White, Fantasia, Disney Imagineering) but also accidentally invented the modern \u0026ldquo;flywheel\u0026rdquo; business model.\u003c/li\u003e\n\u003cli\u003eIn this episode, we tell the story of how art, business, and engineering finally came together—The Walt Disney Company: The Walt Era.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eEN Highlights:\n\u003cul\u003e\n\u003cli\u003eThe Walt Disney Company is the most successful enterprise ever created for monetizing human nostalgia\u003c/li\u003e\n\u003cli\u003eToday it’s the king of global entertainment, holding the intellectual property rights to the childhood memories of billions of people (including, likely, all of…\u003c/li\u003e\n\u003cli\u003eBut it didn’t start that way\u003c/li\u003e\n\u003cli\u003eDuring Walt’s era, Disney operated like an unhinged moonshot factory, blowing its finances on one seemingly crazy project after another, like the very first fea…\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"stratechery-by-ben-thompson-a_full\"\u003e\n  Stratechery by Ben Thompson (A_full)\n  \u003ca class=\"heading-link\" href=\"#stratechery-by-ben-thompson-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://stratechery.com/2026/apple-price-increases-apple-intelligence-and-the-e-u/\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003eApple Price Increases, Apple Intelligence and the E.U.\u003c/a\u003e\u003c/strong\u003e\n\u003cul\u003e\n\u003cli\u003ePublished: 2026-06-22 18:00 Beijing Time\u003c/li\u003e\n\u003cli\u003eSummary: - Apple (finally) raised its prices, but they will not be releasing Siri AI in the EU.\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e$15\u003c/strong\u003e/month \u003cem\u003eor\u003c/em\u003e \u003cem\u003e\u003cstrong\u003e$150\u003c/strong\u003e\u003c/em\u003e/year.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eSubstantive analysis of the day\u0026rsquo;s news via three weekly emails or a podcast.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eStrategy Interviews\u003c/strong\u003e.\u003c/li\u003e\n\u003cli\u003eInterviews with leading public company CEOs, private company founders, and discussions with fellow analysts.\u003c/li\u003e\n\u003cli\u003eEN Key points:\n\u003cul\u003e\n\u003cli\u003eApple is (finally) raising prices, but they\u0026rsquo;re not shipping Siri AI to the E.U.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"openai-blog-a_full\"\u003e\n  OpenAI Blog (A_full)\n  \u003ca class=\"heading-link\" href=\"#openai-blog-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\n\u003cp\u003e\u003cstrong\u003e\u003ca href=\"https://openai.com/index/daybreak-securing-the-world\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003eDaybreak: Tools for securing every organization in the world\u003c/a\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003ePublished: 2026-06-22 18:00 Beijing Time\u003c/li\u003e\n\u003cli\u003eSummary: - Expanding the impact of these features:\n\u003cul\u003e\n\u003cli\u003e\n\u003cul\u003e\n\u003cli\u003eGPT-5.5-Cyber: Following an initial license-only preview, we will be rolling out the full version of GPT-5.5-Cyber through a continuous limited release to trusted defenders.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eThe model sets a new state-of-the-art performance on CyberGym, achieving 85.6% compared to GPT-5.5\u0026rsquo;s 81.8%.\u003c/li\u003e\n\u003cli\u003e\n\u003cul\u003e\n\u003cli\u003eOver 30 open-source projects have committed to participate, with initial participants including cURL, Go, Python, Sigstore, and pyca/cryptography.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cul\u003e\n\u003cli\u003eThrough \u0026ldquo;Patch the Planet,\u0026rdquo; we are collaborating with researchers, maintainers, enterprises, and partners to provide defenders with powerful cyber capabilities, with appropriate access, governance, and human oversight.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eEN Key points:\n\u003cul\u003e\n\u003cli\u003eOpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003ca href=\"https://openai.com/index/patch-the-planet\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003ePatch the Planet: a Daybreak initiative to support open source maintainers\u003c/a\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003ePublished: 2026-06-22 18:00 Beijing Time\u003c/li\u003e\n\u003cli\u003eSummary: - We will combine AI-assisted security research using our most cyber-capable models with expert human review to not only identify vulnerabilities but also help patch them.\n\u003cul\u003e\n\u003cli\u003eAI is accelerating vulnerability discovery, but discovery alone does not protect users.\u003c/li\u003e\n\u003cli\u003eMany maintainers are already being asked to triage more reports, faster, with the same limited time and resources.\u003c/li\u003e\n\u003cli\u003ePatch the Planet is designed to lighten this burden, not add to it: security engineers review findings before they reach maintainers, collaborate with projects to develop patches and tests, and build reusable workflows that help teams continue improving their security posture long after the first fix is in.\u003c/li\u003e\n\u003cli\u003eAdditionally, we will be working with HackerOne and Calif, who will help us further our vulnerability triage, coordinated disclosure, and other focused vulnerability discovery efforts.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eEN Key points:\n\u003cul\u003e\n\u003cli\u003eOpenAI introduces Patch the Planet, a Daybreak initiative helping open-source maintainers find, validate, and fix vulnerabilities with AI and expert review.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003ca href=\"https://openai.com/index/codex-maxxing-long-running-work\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003eCodex-maxxing for long-running work\u003c/a\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003ePublished: 2026-06-22 08:00 Beijing Time\u003c/li\u003e\n\u003cli\u003eSummary: - Learn how Jason Liu uses Codex to preserve context, manage complex projects, and help work continue beyond a single prompt.\n\u003cul\u003e\n\u003cli\u003eThis post from the OpenAI blog explains how long-running Codex-maxxing is shaping the broader AI and infrastructure landscape.\u003c/li\u003e\n\u003cli\u003eIt also offers practical implications for founders, operators, and investors following Codex-maxxing for long-running work.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eEN Key points:\n\u003cul\u003e\n\u003cli\u003eLearn how Jason Liu uses Codex to preserve context, manage complex projects, and help work continue beyond a single prompt.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"two-minute-papers-b_introsearch\"\u003e\n  Two Minute Papers (B_intro+search)\n  \u003ca class=\"heading-link\" href=\"#two-minute-papers-b_introsearch\"\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.youtube.com/watch?v=mG4SmhWyeFA\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003eDeepSeek Just Solved AI\u0026rsquo;s Billion Dollar Problem\u003c/a\u003e\u003c/strong\u003e\u003c/li\u003e\n\u003cli\u003ePublication Time: 2026-06-22 23:53 Beijing Time\n\u003cul\u003e\n\u003cli\u003eAbstract:- ❤️ Check out Lambda here and sign up for their GPU Cloud:\n\u003cul\u003e\n\u003cli\u003e📝 The paper is available here:\u003c/li\u003e\n\u003cli\u003eAdam Bridges, Benji Rabhan, B Shang, Cameron Navor, Charles Ian Norman Venn, Christian Ahlin, Eric T, Fred R, Gordon Child, Juan Benet, Michael Tedder, Owen Skarpness, Richard Sundvall, Ryan Stankye, Shawn Becker, Steef, Taras Bobrovytsky, Tazaur Sagenclaw, Tybie Fitzhugh, Ueli Gallizzi.\u003c/li\u003e\n\u003cli\u003eDeepSeek just solved AI\u0026rsquo;s billion-dollar problem.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eEN Key Points:\n\u003cul\u003e\n\u003cli\u003e❤️ Check out Lambda here and sign up for their GPU Cloud:\u003c/li\u003e\n\u003cli\u003e📝 The paper is available here:\u003c/li\u003e\n\u003cli\u003e🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible:\u003c/li\u003e\n\u003cli\u003eAdam Bridges, Benji Rabhan, B Shang, Cameron Navor, Charles Ian Norman Venn, Christian Ahlin, Eric T, Fred R, Gordon Child, Juan Benet, Michael Tedder, Owen Ska…\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": 2664,
  "readingTime": 13,
  "tableOfContents": "\u003cnav id=\"TableOfContents\"\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"#-in-depth-guide-to-this-issues-watch-list\"\u003e📖 In-depth Guide to This Issue\u0026rsquo;s Watch List\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#-x-platform-ai-hot-news\"\u003e🌐 X Platform AI Hot News\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#topic-1-googles-interactions-api-for-gemini-reaches-general-availability\"\u003eTopic 1: Google\u0026rsquo;s Interactions API for Gemini Reaches General Availability\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-2-vibecoding-takes-off-as-ai-coding-trend\"\u003eTopic 2: Vibecoding Takes Off as AI Coding Trend\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\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#1-todays-common-technical-trends-or-product-hotspots-among-influencers\"\u003e1. Today\u0026rsquo;s common technical trends or product hotspots among influencers\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#2-noteworthy-unique-perspectives-or-industry-foresight\"\u003e2. Noteworthy Unique Perspectives or Industry Foresight\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#3-recommended-tools-or-resources\"\u003e3. Recommended Tools or Resources\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \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=\"#acquiredfm-a_full\"\u003eAcquired.fm (A_full)\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#stratechery-by-ben-thompson-a_full\"\u003eStratechery by Ben Thompson (A_full)\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#openai-blog-a_full\"\u003eOpenAI Blog (A_full)\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#two-minute-papers-b_introsearch\"\u003eTwo Minute Papers (B_intro+search)\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \u003c/li\u003e\n  \u003c/ul\u003e\n\u003c/nav\u003e",
  "isDraft": false
}