{
  "title": "2026-08-10 AI Daily | The Next Layer of Competition for AI Applications: Skills Market, Real-time Perception, and Cost Constraints",
  "url": "https://miaok.ong/en/ai-daily/ai-daily-2026-08-10/",
  "date": "2026-08-10T07:00:00+08:00",
  "lastmod": "2026-08-10T07:00:00+08:00",
  "type": "ai-daily",
  "kind": "page",
  "language": "en",
  "description": "Today\u0026rsquo;s focus is not on single model breakthroughs, but on application ecosystem restructuring. Agent Skill is beginning to standardize and be distributed communally; Doubao SeedRealtime is advancing native audio and video full-duplex interaction. Meanwhile, model invocation, hardware, and computing power costs are rising, forcing teams to recalculate the true input-output of AI automation.",
  "keywords": null,
  "tags": [],
  "categories": [],
  "author": "Mark (Miao) Kong",
  "image": "https://miaok.ong/images/avatar.jpg",
  "content": "\u003ch1 id=\"2026-08-10-ai-daily--the-next-level-of-competition-in-ai-applications-skill-markets-real-time-perception-and-cost-constraints\"\u003e\n  2026-08-10 AI Daily | The Next Level of Competition in AI Applications: Skill Markets, Real-time Perception, and Cost Constraints\n  \u003ca class=\"heading-link\" href=\"#2026-08-10-ai-daily--the-next-level-of-competition-in-ai-applications-skill-markets-real-time-perception-and-cost-constraints\"\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\u003eToday\u0026rsquo;s focus is not on single model breakthroughs, but on the reorganization of the application ecosystem. Agent Skills are beginning to be standardized and distributed through communities, while Doubao\u0026rsquo;s SeedRealtime is advancing native full-duplex audio and video interaction. At the same time, the rising costs of model calls, hardware, and computing power are forcing teams to recalculate the true ROI of AI automation.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003ch2 id=\"-this-issues-watch-list-in-depth-guide\"\u003e\n  📖 This Issue\u0026rsquo;s Watch List In-depth Guide\n  \u003ca class=\"heading-link\" href=\"#-this-issues-watch-list-in-depth-guide\"\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\u003eNo in-depth reading recommendations for today.\u003c/p\u003e\n\u003ch2 id=\"-quick-brief-on-ai-hot-topics-from-x\"\u003e\n  🌐 Quick Brief on AI Hot Topics from X\n  \u003ca class=\"heading-link\" href=\"#-quick-brief-on-ai-hot-topics-from-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-sergey-brin-takes-direct-control-of-googles-gemini-ai-models\"\u003e\n  Topic 1: Sergey Brin Takes Direct Control of Google\u0026rsquo;s Gemini AI Models\n  \u003ca class=\"heading-link\" href=\"#topic-1-sergey-brin-takes-direct-control-of-googles-gemini-ai-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\u003eCategory: AI · News\u003c/li\u003e\n\u003cli\u003eOverview: Trending Time: 2 days ago, Related Posts: 9,900\u003c/li\u003e\n\u003cli\u003eWhat it is: Reports indicate that Google co-founder Sergey Brin has taken direct control over the advancement and decision-making for Gemini AI models to strengthen Google\u0026rsquo;s foundational model R\u0026amp;D and product integration.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: This signals that leading tech companies are entrusting control over their most critical AI resources and direction to top-level executives, which could impact Gemini\u0026rsquo;s technical roadmap, iteration speed, and Google\u0026rsquo;s position in the search and AI assistant competition.\u003c/li\u003e\n\u003cli\u003eDiscussion Summary: The discussion on X centers on whether Brin\u0026rsquo;s return will enable Gemini to catch up with or even surpass OpenAI, whether Google is restructuring its internal AI power dynamics, and if this signifies more aggressive model investments or a stronger strategy for AI-powered search.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-2-four-years-since-gpt-4-finished-training\"\u003e\n  Topic 2: Four Years Since GPT-4 Finished Training\n  \u003ca class=\"heading-link\" href=\"#topic-2-four-years-since-gpt-4-finished-training\"\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: 1 day ago, Related Posts: 4,000\u003c/li\u003e\n\u003cli\u003eWhat it is: A discussion on X reflects on the \u0026ldquo;four years since GPT-4 finished training\u0026rdquo; milestone, examining the rapid evolution of AI capabilities from code assistance to agents, scientific research, and workflow collaboration.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: This highlights the speed of large model capability iteration and the shift in industry focus. AI competition is no longer just about the capabilities of a single model but has moved towards systems, toolchains, memory, verification, and implementation efficiency.\u003c/li\u003e\n\u003cli\u003eDiscussion Summary: The discussion is mainly divided into two camps: one believes AI progress has exceeded expectations, moving from \u0026ldquo;can it write code?\u0026rdquo; to \u0026ldquo;can it lead a team?\u0026rdquo;; the other argues that while capabilities have significantly improved, truly valuable application forms, product boundaries, and the role of human decision-making have not kept pace.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-3-practical-tweaks-make-claude-output-clearer-and-more-human\"\u003e\n  Topic 3: Practical Tweaks Make Claude Output Clearer and More Human\n  \u003ca class=\"heading-link\" href=\"#topic-3-practical-tweaks-make-claude-output-clearer-and-more-human\"\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: 2 hours ago, Related Posts: 336\u003c/li\u003e\n\u003cli\u003eWhat it is: A discussion on X has sparked around practical tuning methods for Claude\u0026rsquo;s output style, focusing on making the model\u0026rsquo;s responses clearer, more natural, and more human-like.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: This reflects a shift in AI applications from solely pursuing model capabilities to focusing on controllability, readability, and user experience. It suggests that prompt engineering and post-processing remain crucial for enhancing the practical value of large models.\u003c/li\u003e\n\u003cli\u003eDiscussion Summary: The discussion focuses on which prompts or parameter adjustments are most effective, whether being \u0026lsquo;more human-like\u0026rsquo; compromises accuracy and verifiability, and whether the model\u0026rsquo;s output style should be preset by developers or be user-customizable.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-4-developers-debate-skipping-ai-code-reviews-in-2026\"\u003e\n  Topic 4: Developers Debate Skipping AI Code Reviews in 2026\n  \u003ca class=\"heading-link\" href=\"#topic-4-developers-debate-skipping-ai-code-reviews-in-2026\"\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: 7 hours ago, Related Posts: 186\u003c/li\u003e\n\u003cli\u003eWhat it is: Developers are debating whether manual code reviews for AI-generated code can be skipped in 2026.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: This reflects the maturity of AI code generation in terms of reliability, maintainability, and security, and it also pertains to whether future software development workflows will be reshaped by AI.\u003c/li\u003e\n\u003cli\u003eDiscussion Summary: The debate on X centers on two main points: supporters argue that AI can already handle more automated verification tasks and improve efficiency, while opponents emphasize the continued need for human oversight to catch vulnerabilities, business logic errors, and determine accountability.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-5-theo-launches-t3-code-usage-page-for-ai-cost-tracking\"\u003e\n  Topic 5: Theo Launches T3 Code Usage Page for AI Cost Tracking\n  \u003ca class=\"heading-link\" href=\"#topic-5-theo-launches-t3-code-usage-page-for-ai-cost-tracking\"\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: 23 hours ago, Related Posts: 328\u003c/li\u003e\n\u003cli\u003eWhat it is: Theo has launched a usage page for T3 Code to track API calls and costs for AI coding tools.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: This is significant for the AI field because it makes model usage and actual expenditures transparent, helping teams better evaluate the ROI of AI tools and optimize cost control.\u003c/li\u003e\n\u003cli\u003eDiscussion Summary: The discussion on X focuses on whether such cost-tracking tools are practical enough, whether they can help development teams manage AI expenses with fine-grained control, and the cost-performance differences between various AI coding solutions.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-6-elon-musk-remembers-first-dgx-1-delivery-from-jensen-huang-in-2016\"\u003e\n  Topic 6: Elon Musk Remembers First DGX-1 Delivery from Jensen Huang in 2016\n  \u003ca class=\"heading-link\" href=\"#topic-6-elon-musk-remembers-first-dgx-1-delivery-from-jensen-huang-in-2016\"\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 for: 9 hours ago, Related posts: 7700\u003c/li\u003e\n\u003cli\u003eWhat happened: Elon Musk\u0026rsquo;s post on X, reminiscing about Jensen Huang delivering the first NVIDIA DGX-1 to him in 2016, has drawn widespread attention.\u003c/li\u003e\n\u003cli\u003eWhy it matters: The DGX-1 is considered a significant milestone in early AI computing infrastructure. This recollection highlights the critical relationship between high-performance GPUs, computing power supply, and the development of large-scale AI models.\u003c/li\u003e\n\u003cli\u003eDiscussion summary: The discussion on X primarily focuses on NVIDIA\u0026rsquo;s first-mover advantage in the AI wave, the connection between Musk, Huang, and the early days of OpenAI, and whether the current AI competition is fundamentally a race of computing power and hardware ecosystems.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-7-debate-erupts-over-generational-divide-in-ai-art-criticism\"\u003e\n  Topic 7: Debate Erupts Over Generational Divide in AI Art Criticism\n  \u003ca class=\"heading-link\" href=\"#topic-7-debate-erupts-over-generational-divide-in-ai-art-criticism\"\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 for: , Related posts: 48\u003c/li\u003e\n\u003cli\u003eWhat happened: A debate has erupted on X over the standards for critiquing AI-generated art, focusing on the clear divergence in acceptance and evaluation methods between different age groups.\u003c/li\u003e\n\u003cli\u003eWhy it matters: This debate reflects how the boundaries of technology, copyright, originality, and artistic value are being redefined as AI-generated content enters the creative and aesthetic domains.\u003c/li\u003e\n\u003cli\u003eDiscussion summary: The discussion centers on whether the claim that \u0026ldquo;younger users are more accepting of AI art, while older creators emphasize manual skill and originality\u0026rdquo; is valid, and whether AI art should be considered a tool, a work of art, or a challenge to traditional art.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"ai-public-opinion-summary-on-x-today\"\u003e\n  AI Public Opinion Summary on X Today\n  \u003ca class=\"heading-link\" href=\"#ai-public-opinion-summary-on-x-today\"\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\u003eThe main theme on X today is that \u0026ldquo;the AI race is shifting from model capabilities to a competition in infrastructure, product integration, and governance.\u0026rdquo; On one hand, topics like Sergey Brin directly taking over Gemini and nostalgia for NVIDIA\u0026rsquo;s computing power are trending. On the other, discussions about code agents, cost tracking, and output optimization are also prevalent. Both sides emphasize that leading companies are further centralizing resources, decision-making, and engineering systems at a higher level. The general consensus is that while AI is advancing rapidly, victory is no longer determined by individual model scores alone, but by system integration, computing power supply, cost control, and implementation efficiency. The main point of contention is \u0026ldquo;how far automation can go.\u0026rdquo; Some believe that by 2026, manual review can be significantly reduced, as AI code and workflows will be mature enough. Others insist that humans must still oversee accuracy, vulnerabilities, business logic, and accountability. There is also a tension between making AI more human-like in style and ensuring its verifiability. The potential risk is that over-investing in aggressive AI integration could lead to security incidents, poor decisions, and runaway costs. Meanwhile, in the art and content creation fields, the debate over originality, copyright, and the aesthetic boundaries of AI-generated works is likely to intensify.\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\u003ch1 id=\"ai-industry-daily-insights-briefing-august-8-9-2026\"\u003e\n  AI Industry Daily Insights Briefing (August 8-9, 2026)\n  \u003ca class=\"heading-link\" href=\"#ai-industry-daily-insights-briefing-august-8-9-2026\"\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\u003cp\u003eThe following is a deep-dive summary and trend analysis based on the tweets of several key AI influencers over the past 24 hours.\u003c/p\u003e\n\u003chr\u003e\n\u003ch3 id=\"1-key-tech-trends--hot-products-watched-by-influencers-today\"\u003e\n  1. Key Tech Trends \u0026amp; Hot Products Watched by Influencers Today\n  \u003ca class=\"heading-link\" href=\"#1-key-tech-trends--hot-products-watched-by-influencers-today\"\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\u003ch4 id=\"-the-evolution-of-the-ai-agent-ecosystem-and\"\u003e\n  🚀 \u003cstrong\u003eThe Evolution of the AI Agent Ecosystem and \u0026ldquo;Skill\u0026rdquo; Standardization\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#-the-evolution-of-the-ai-agent-ecosystem-and\"\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\u003eThis is the most central topic right now, with drastic changes happening from underlying frameworks to high-level product forms.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eAgents as the Entry Point, Not Apps\u003c/strong\u003e: @dotey clearly articulated the design philosophy that \u003cstrong\u003e\u0026ldquo;In the future, the Agent will be the entry point; you\u0026rsquo;ll open an Agent first, not an App, to get things done.\u0026rdquo;\u003c/strong\u003e He uses his product, BaoCut, as an example, where he removed the built-in Agent console, keeping only the option to copy a prompt for use in an external Agent. He firmly believes that the role of Apps will be relegated to tools for result confirmation and fine-tuning.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eSkill Portability (Agent Plugins 1.0.0)\u003c/strong\u003e: @Pluvio9yte noted that engineers from Google DeepMind / Cloud have released \u003cstrong\u003eAgent Plugins 1.0.0\u003c/strong\u003e. This aims to solve the problem of AI Skills and MCP servers not being reusable across different clients (Claude Code, Cursor, Gemini CLI). It defines a vendor-neutral packaging specification that includes a \u003ccode\u003eplugin.json\u003c/code\u003e manifest, a \u003ccode\u003eskills/\u003c/code\u003e directory, and \u003ccode\u003emcp.json\u003c/code\u003e, and is poised to become the \u0026ldquo;universal adapter\u0026rdquo; for the Agent ecosystem.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eInnovation in Skill Distribution Channels\u003c/strong\u003e: @ruanyf discovered that \u003cstrong\u003eXiaohongshu (Little Red Book) has launched the REDSkill community\u003c/strong\u003e. It allows users to upload Skill files when publishing their notes, which others can then copy with a single click for their own Agents. This pioneers the integration of social media with a Skill Hub, aiming to become the \u0026ldquo;GitHub for Skills.\u0026rdquo;\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBest Practices for Agent\u0026rsquo;s Long-Term Tasks (/goal)\u003c/strong\u003e: @dotey shared how to effectively use the Agent\u0026rsquo;s \u003ccode\u003e/goal\u003c/code\u003e feature for long-running automated tasks. He provided a performance optimization case study, emphasizing three core points: \u003cstrong\u003edefine a clear goal, specify a verification method, and set a stopping condition\u003c/strong\u003e. The prompt was: \u0026ldquo;/goal Help me optimize the performance of the current CLI for transcribing large videos\u0026hellip; please test this video with the Moss model\u0026hellip; establish a benchmark, then analyze performance bottlenecks and try to optimize until you think there is no more room for improvement.\u0026rdquo;\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"-major-upgrade-in-multimodal-interaction-full-modal-full-duplex\"\u003e\n  🧠 \u003cstrong\u003eMajor Upgrade in Multimodal Interaction: Full-Modal, Full-Duplex\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#-major-upgrade-in-multimodal-interaction-full-modal-full-duplex\"\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\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eDoubao\u0026rsquo;s SeedRealtime Causes a Sensation\u003c/strong\u003e: @vista8 conducted in-depth testing and analysis of the new video call feature in ByteDance\u0026rsquo;s Doubao, believing its experience has surpassed GPT Live. The underlying \u003cstrong\u003eSeedRealtime model achieves native audio-video full-duplex interaction\u003c/strong\u003e. It is a real-time decision-making model integrating ASR, VLM, and TTS, capable of understanding vague commands (like \u0026ldquo;How do I do this?\u0026rdquo;) by combining screen visuals, gestures, and eye gaze. It can also proactively interact when preset conditions are triggered, such as automatically providing an explanation when a specific exhibit is viewed in a museum.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eProactive Interaction and the Future of Embodied Intelligence\u003c/strong\u003e: @vista8 emphasizes that SeedRealtime\u0026rsquo;s \u0026ldquo;proactive interaction\u0026rdquo; capability (continuous visual perception + conditional triggers) is the key differentiator from passive conversational models. He predicts that this multimodal understanding, connected to the real world, will directly impact the development speed of embodied robots.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"-controversies-and-breakthroughs-in-local-on-device-model-deployment\"\u003e\n  ⚖️ \u003cstrong\u003eControversies and Breakthroughs in Local On-Device Model Deployment\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#-controversies-and-breakthroughs-in-local-on-device-model-deployment\"\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\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe Debate Over the Capability Ceiling of Small Models\u003c/strong\u003e: @zhixianio published his in-depth review of \u003cstrong\u003eGemma 4 12B Coder\u003c/strong\u003e. The results showed that its ability to generate \u0026ldquo;long, stateful, single-pass\u0026rdquo; complex programs (like a complete Tetris game) is far inferior to \u003cstrong\u003eQwen 3.6-35B-A3B\u003c/strong\u003e. Even with \u0026ldquo;thinking\u0026rdquo; mode enabled, it sometimes used all 12,000 tokens to \u0026ldquo;think\u0026rdquo; without outputting a single line of code. He emphasizes that \u003cstrong\u003efine-tuning can improve convergence and efficiency, but it cannot break through the inherent capability ceiling of a small-scale model\u003c/strong\u003e.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eA New Approach to Extreme Localization\u003c/strong\u003e: @Pluvio9yte shared a project called \u003cstrong\u003eSwiftlet\u003c/strong\u003e, which fits an \u003cstrong\u003e80B Qwen model into 4.3GB of memory and runs it on a Mac\u003c/strong\u003e. Its core principle is to keep only the dense small kernels resident in memory, while the router expert weights of the MoE architecture are streamed from storage on demand. If this becomes widely adopted, it will completely rewrite the narrative for on-device models.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"-model-pricing-compute-power-and-business-strategy\"\u003e\n  💰 \u003cstrong\u003eModel Pricing, Compute Power, and Business Strategy\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#-model-pricing-compute-power-and-business-strategy\"\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\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eWidespread Price Increases for Hardware and Models\u003c/strong\u003e: @zhixianio and @williamlab mentioned that due to rising costs, some hardware prices have surged by 20%. When analyzing Kimi K3, @ruanyf also pointed out that due to a massive increase in parameters, its API price is several times higher than its predecessor, making it the most expensive model in China.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eNew Players in the Compute Market\u003c/strong\u003e: @Pluvio9yte commented on Anthropic\u0026rsquo;s roughly $10 billion compute agreement with \u003cstrong\u003eVolta\u003c/strong\u003e, a cloud startup that is only a few months old. This signals the emergence of an \u003cstrong\u003e\u0026ldquo;assembly plant\u0026rdquo; model for compute power\u003c/strong\u003e. Hardware is hosted at Bitcoin mining sites, and whoever can integrate power and GPUs the fastest gets to enter the large model training supply chain, breaking the monopoly of traditional major cloud providers.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"2-notable-unique-perspectives-or-industry-foresight\"\u003e\n  2. Notable Unique Perspectives or Industry Foresight\n  \u003ca class=\"heading-link\" href=\"#2-notable-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\u003cstrong\u003eThe Best Way to Remove the \u0026ldquo;AI Feel\u0026rdquo; is to Not Use \u0026ldquo;AI to Write\u0026rdquo;\u003c/strong\u003e: @Pluvio9yte believes that no prompt or skill can create a genuine \u0026ldquo;human touch.\u0026rdquo; His proposed best practice is: \u003cstrong\u003efirst, dictate the full content using speech-to-text software (like iFlytek\u0026rsquo;s or Typeless), and then have an AI polish the dictated draft\u003c/strong\u003e. This method produces an article structure that more closely follows human thought patterns, fundamentally avoiding the coldness that comes from overly structured and rigid logic.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eThe \u0026ldquo;De-programmer-ization\u0026rdquo; of Front-End Roles in Programming\u003c/strong\u003e: @vista8 proposed a controversial idea: in the future, programming will still be divided into front-end and back-end, but the person in charge of the front-end might no longer be a traditional programmer, but rather a \u003cstrong\u003eproduct manager, operations specialist, or designer\u003c/strong\u003e. AI will empower them to implement user experiences, which will demand a higher level of comprehensive skills for front-end roles.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eA Warning from the Attention Economy\u003c/strong\u003e: @vista8 shared a view from the book \u0026ldquo;The Attention Merchants,\u0026rdquo; pointing out that in an attention economy, high-quality, in-depth, and serious content becomes a \u0026ldquo;negative asset\u0026rdquo; because only content that triggers instinctual reactions (like anger or fear) is the most effective \u0026ldquo;attention catcher.\u0026rdquo; Ultimately, \u003cstrong\u003e\u0026ldquo;tranquility and a space free from interruption will become the highest status symbol in human society.\u0026rdquo;\u003c/strong\u003e\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eAI Programming vs. Human Cost\u003c/strong\u003e: @ruanyf cited the case of the OpenClaw founder using 603 billion tokens per month, pointing out that if a company uses top-tier models without limits, the annual cost could exceed 100 million RMB. This will force companies to realize that \u003cstrong\u003ethe cost of unlimited AI programming can far exceed that of human programmers\u003c/strong\u003e.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDoubao\u0026rsquo;s Data Moat\u003c/strong\u003e: @Pluvio9yte discovered that \u003cstrong\u003eDoubao\u0026rsquo;s integration with Xiaohongshu and Douyin is extremely strong\u003c/strong\u003e, allowing it to find solutions for real-world scenarios that are hard for other models (like Claude, GPT) to access. This constitutes its differentiating data moat.\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\u003ctable\u003e\n  \u003cthead\u003e\n      \u003ctr\u003e\n          \u003cth style=\"text-align: left\"\u003eCategory\u003c/th\u003e\n          \u003cth style=\"text-align: left\"\u003eTool/Resource\u003c/th\u003e\n          \u003cth style=\"text-align: left\"\u003eHighlights \u0026amp; Core Use Cases\u003c/th\u003e\n          \u003cth style=\"text-align: left\"\u003eSource/Recommender\u003c/th\u003e\n      \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n      \u003ctr\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eAgent \u0026amp; IDE\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eReasonix\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003eA programming CLI framework deeply optimized for DeepSeek\u0026rsquo;s prefix caching mechanism. It\u0026rsquo;s the officially recommended Agent integration tool by DeepSeek and can significantly reduce token costs in long sessions.\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e@Pluvio9yte\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003ebb Agent\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003eA self-evolving IDE that automatically detects and integrates with various locally installed Agents like Codex CLI and Claude Code CLI, ready to use out-of-the-box.\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e@vista8\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eOpenConnector\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003eAn open-source password connection gateway that prevents AI Agents from leaking passwords into the context. It centralizes connection authorization, so the Agent only receives labels and results.\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e@ruanyf\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eREDSkill\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003eA Xiaohongshu community for uploading, sharing, and copying Skill files, expanding the distribution and dissemination channels for Skills.\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e@ruanyf\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eDesign \u0026amp; Prototyping\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eBaoyu-Design Skill\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003eA Skill from @dotey that emphasizes using Claude Design to generate and maintain React prototypes and structured JSON before development. Changes are tracked via \u003ccode\u003egit diff\u003c/code\u003e, which then guides the Agent in implementing features.\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e@dotey\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eAI Video Creation\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eTopview AI\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003eIntroduces \u003cstrong\u003eSeedance 2.5 (unlimited use for 60 days)\u003c/strong\u003e and \u003cstrong\u003eWan 3.0 (unlimited use for 365 days)\u003c/strong\u003e, a highly cost-effective AI video creation platform.\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e@AI_Jasonyu\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003e《Hell Grind》\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003eA 95-minute AI film made for $500,000. The creators have open-sourced all prompts and production assets.\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e@dotey\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eDevelopment Assistance\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eAI Code Review Strategy\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003eReview code without context or using different models. Effective prompt: \u0026ldquo;Find bugs. Find missing requirements. Find unnecessary complexity. Find missing tests. Suggest deletions or simplifications. Do not perform large-scale automatic refactoring.\u0026rdquo;\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e@Pluvio9yte\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eWriting\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003e\u0026ldquo;Human-like Writing\u0026rdquo; Skill\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003eReduces the \u0026ldquo;AI feel\u0026rdquo; of an article through strict rules (e.g., forbidding specific AI-style connecting words) and by imitating the user\u0026rsquo;s personal historical writing style.\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e@Khazix0918 / @Pluvio9yte\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eMac Tips\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e\u003cstrong\u003eQLMarkdown\u003c/strong\u003e\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003eAfter a one-click installation, you can press the Space key to quickly preview .md files. Command: \u003ccode\u003ebrew install --cask qlmarkdown\u003c/code\u003e.\u003c/td\u003e\n          \u003ctd style=\"text-align: left\"\u003e@vista8\u003c/td\u003e\n      \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003ch2 id=\"-appendix-todays-watch-list-update-source-list\"\u003e\n  📚 Appendix: Today\u0026rsquo;s Watch List Update Source List\n  \u003ca class=\"heading-link\" href=\"#-appendix-todays-watch-list-update-source-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\u003cblockquote\u003e\n\u003cp\u003eTime window: Last 3 days; covers 22 sources\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp\u003eNo new Watch List content detected in the last 3 days.\u003c/p\u003e\n",
  "wordCount": 2774,
  "readingTime": 14,
  "tableOfContents": "\u003cnav id=\"TableOfContents\"\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"#-this-issues-watch-list-in-depth-guide\"\u003e📖 This Issue\u0026rsquo;s Watch List In-depth Guide\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#-quick-brief-on-ai-hot-topics-from-x\"\u003e🌐 Quick Brief on AI Hot Topics from X\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#topic-1-sergey-brin-takes-direct-control-of-googles-gemini-ai-models\"\u003eTopic 1: Sergey Brin Takes Direct Control of Google\u0026rsquo;s Gemini AI Models\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-2-four-years-since-gpt-4-finished-training\"\u003eTopic 2: Four Years Since GPT-4 Finished Training\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-3-practical-tweaks-make-claude-output-clearer-and-more-human\"\u003eTopic 3: Practical Tweaks Make Claude Output Clearer and More Human\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-4-developers-debate-skipping-ai-code-reviews-in-2026\"\u003eTopic 4: Developers Debate Skipping AI Code Reviews in 2026\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-5-theo-launches-t3-code-usage-page-for-ai-cost-tracking\"\u003eTopic 5: Theo Launches T3 Code Usage Page for AI Cost Tracking\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-6-elon-musk-remembers-first-dgx-1-delivery-from-jensen-huang-in-2016\"\u003eTopic 6: Elon Musk Remembers First DGX-1 Delivery from Jensen Huang in 2016\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-7-debate-erupts-over-generational-divide-in-ai-art-criticism\"\u003eTopic 7: Debate Erupts Over Generational Divide in AI Art Criticism\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\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#1-key-tech-trends--hot-products-watched-by-influencers-today\"\u003e1. Key Tech Trends \u0026amp; Hot Products Watched by Influencers Today\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#2-notable-unique-perspectives-or-industry-foresight\"\u003e2. Notable 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-update-source-list\"\u003e📚 Appendix: Today\u0026rsquo;s Watch List Update Source List\u003c/a\u003e\u003c/li\u003e\n  \u003c/ul\u003e\n\u003c/nav\u003e",
  "isDraft": false
}