{"title":"2026-04-08 AI Daily | Intel Teams Up with Musk to Co-Build Terafab, Anthropic's Revenue Run Rate Exceeds $30 Billion","url":"/en/ai-daily/ai-daily-2026-04-08/","date":"2026-04-08","type":"ai-daily","content":"\u003ch1 id=\"2026-04-08-ai-daily--intel-partners-with-musk-to-build-terafab-anthropics-revenue-run-rate-exceeds-30-billion\"\u003e\n  2026-04-08 AI Daily | Intel Partners with Musk to Build Terafab, Anthropic\u0026rsquo;s Revenue Run-Rate Exceeds $30 Billion\n  \u003ca class=\"heading-link\" href=\"#2026-04-08-ai-daily--intel-partners-with-musk-to-build-terafab-anthropics-revenue-run-rate-exceeds-30-billion\"\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, the AI industry is exhibiting dual trends of vertical integration in foundational computing power and large-scale commercialization. Intel has partnered with Musk to launch the Terafab chip project in an attempt to reshape supply chain autonomy, while Anthropic\u0026rsquo;s revenue run-rate has reached $30 billion, coupled with a deep alliance with Google on TPU computing power. On a technical level, the industry\u0026rsquo;s focus is shifting from \u0026ldquo;prompt tuning\u0026rdquo; to \u0026ldquo;Harness Engineering,\u0026rdquo; emphasizing the improvement of Agent performance in real-world applications through system-level architecture and hardware-software co-optimization.\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\u0026rsquo;s Watch List focuses on the strategic evolution of the AI computing landscape and the methodological reshaping for product professionals.\u003c/p\u003e\n\u003cp\u003eFirst, NVIDIA has released a new paper on Nemotron 3 Super, whose breakthroughs in model performance are worthy of a deep dive by engineering teams. Meanwhile, Stratechery provides a sharp analysis of the deep alliance between Anthropic and Google on TPU computing power, revealing how leading model vendors are securing their survival through strategic trade-offs amidst a \u0026ldquo;compute shortage.\u0026rdquo; This is a key slice for understanding the current AI business landscape.\u003c/p\u003e\n\u003cp\u003eOn the product practice front, Lenny’s Podcast offers a visually compelling self-help guide for \u0026ldquo;creative burnout.\u0026rdquo; In the high-intensity, AI-driven development cycle, maintaining human creativity and growth intuition is a crucial inner practice for every product manager and developer beyond the technological wave. It is highly recommended to use this as a mental palate cleanser alongside focusing on hardcore technology.\u003c/p\u003e\n\u003ch2 id=\"-ai-hot-topics-on-x\"\u003e\n  🌐 AI Hot Topics on X\n  \u003ca class=\"heading-link\" href=\"#-ai-hot-topics-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-intel-partners-with-musks-tesla-spacex-and-xai-on-massive-terafab-chip-project\"\u003e\n  Topic 1: Intel Partners with Musk\u0026rsquo;s Tesla, SpaceX, and xAI on Massive Terafab Chip Project\n  \u003ca class=\"heading-link\" href=\"#topic-1-intel-partners-with-musks-tesla-spacex-and-xai-on-massive-terafab-chip-project\"\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: 22 hours ago, Related posts: 0\u003c/li\u003e\n\u003cli\u003eWhat it is: Intel announced a partnership with Musk\u0026rsquo;s Tesla, SpaceX, and xAI to jointly advance a massive chip manufacturing infrastructure project named \u0026ldquo;Terafab.\u0026rdquo;\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: This collaboration marks a significant breakthrough for Intel\u0026rsquo;s Foundry services in acquiring top-tier clients. It also reflects Musk\u0026rsquo;s strategy of deep vertical supply chain integration to ensure foundational computing autonomy for his AI and aerospace ventures.\u003c/li\u003e\n\u003cli\u003eDiscussion summary: The discussion focuses on whether this will enable Intel to return to the pinnacle of semiconductor manufacturing and the potential challenge that Musk\u0026rsquo;s build-out of massive chip capacity poses to NVIDIA\u0026rsquo;s market dominance.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-2-anthropic-hits-30-billion-revenue-run-rate-with-google-and-broadcom-compute-deal\"\u003e\n  Topic 2: Anthropic Hits $30 Billion Revenue Run-Rate with Google and Broadcom Compute Deal\n  \u003ca class=\"heading-link\" href=\"#topic-2-anthropic-hits-30-billion-revenue-run-rate-with-google-and-broadcom-compute-deal\"\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: 1 day ago, Related posts: 0\u003c/li\u003e\n\u003cli\u003eWhat it is: The AI sector saw milestone developments in March 2026: NVIDIA projected chip demand to reach a trillion dollars, OpenAI partnered with Samsung on custom chip development and released lightweight models, Anthropic\u0026rsquo;s annual revenue run-rate hit $30 billion, and several giants are preparing for the largest IPOs in history.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: This signals a shift in the AI industry from \u0026ldquo;compute rental\u0026rdquo; to \u0026ldquo;vertical integration\u0026rdquo; with in-house hardware development. The dramatic drop in inference costs is officially kicking off the \u0026ldquo;Agent economy\u0026rdquo; era, and the focus of competition has moved from model parameters to business penetration and cost control.\u003c/li\u003e\n\u003cli\u003eDiscussion summary: Current discussions center on: whether NVIDIA\u0026rsquo;s trillion-dollar forecast has already overdrawn market confidence; whether OpenAI\u0026rsquo;s declining market share signals a comeback for Google\u0026rsquo;s Gemini, leveraging its ecosystem advantages; and whether the \u0026ldquo;trillion-dollar unicorn\u0026rdquo; valuation of a merged SpaceX and xAI involves a bubble and regulatory risks.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-3-michigan-wins-first-ncaa-title-in-37-years-over-uconn\"\u003e\n  Topic 3: Michigan Wins First NCAA Title in 37 Years Over UConn\n  \u003ca class=\"heading-link\" href=\"#topic-3-michigan-wins-first-ncaa-title-in-37-years-over-uconn\"\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 for: 1 day ago, Related posts: 0\u003c/li\u003e\n\u003cli\u003eWhat it is: The University of Michigan defeated the University of Connecticut (UConn) in the NCAA finals to win its first national championship title in 37 years.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: Predictions and analyses of such top-tier sporting events are often seen as important scenarios for testing the accuracy of AI prediction models, real-time data processing, and betting algorithms.\u003c/li\u003e\n\u003cli\u003eDiscussion summary: Discussions on social media focus on the University of Michigan\u0026rsquo;s historic breakthrough and the performance and limitations of AI prediction algorithms when dealing with highly random sporting events.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-4-new-yorker-exposé-details-allegations-against-openais-sam-altman\"\u003e\n  Topic 4: New Yorker Exposé Details Allegations Against OpenAI\u0026rsquo;s Sam Altman\n  \u003ca class=\"heading-link\" href=\"#topic-4-new-yorker-expos%c3%a9-details-allegations-against-openais-sam-altman\"\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: 1 day ago, Related posts: 0\u003c/li\u003e\n\u003cli\u003eWhat it is: The New Yorker published an in-depth investigative report detailing allegations of manipulation and psychological games against OpenAI CEO Sam Altman throughout his career and during last year\u0026rsquo;s board turmoil.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: As a leading figure in the AI field, Altman\u0026rsquo;s leadership style and integrity issues directly impact OpenAI\u0026rsquo;s governance transparency, safety decisions, and the public trust in the entire industry.\u003c/li\u003e\n\u003cli\u003eDiscussion Overview: Discussions on social media centered on Altman\u0026rsquo;s methods of wielding power, the health of OpenAI\u0026rsquo;s internal culture, and whether these allegations could trigger a new crisis of leadership confidence.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-5-cursor-3s-design-mode-lets-developers-edit-ui-with-clicks-and-ai-chat\"\u003e\n  Topic 5: Cursor 3\u0026rsquo;s Design Mode Lets Developers Edit UI with Clicks and AI Chat\n  \u003ca class=\"heading-link\" href=\"#topic-5-cursor-3s-design-mode-lets-developers-edit-ui-with-clicks-and-ai-chat\"\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: 4 hours ago, Related Posts: 0\u003c/li\u003e\n\u003cli\u003eWhat it is: Cursor has launched a brand-new \u0026ldquo;Design Mode,\u0026rdquo; allowing developers to directly edit and adjust front-end code by clicking on the UI and using AI chat.\u003c/li\u003e\n\u003cli\u003eWhy it matters: This feature marks an evolution for AI programming tools from purely text-based interaction to visual development. By deeply integrating visual operations with code generation, it significantly improves the iteration efficiency of front-end development.\u003c/li\u003e\n\u003cli\u003eDiscussion Overview: The discussion focused on the disruptive impact of this mode on front-end development workflows, as well as the quality and maintainability of the code it generates when handling complex CSS layouts and responsive designs.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-6-cursor-ai-unveils-warp-decode-for-184x-faster-moe-inference-on-blackwell-gpus\"\u003e\n  Topic 6: Cursor AI Unveils Warp Decode for 1.84x Faster MoE Inference on Blackwell GPUs\n  \u003ca class=\"heading-link\" href=\"#topic-6-cursor-ai-unveils-warp-decode-for-184x-faster-moe-inference-on-blackwell-gpus\"\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: 0\u003c/li\u003e\n\u003cli\u003eWhat it is: Cursor AI has released an inference acceleration technology called Warp Decode, achieving a 1.84x speed increase for MoE model inference on NVIDIA Blackwell GPUs.\u003c/li\u003e\n\u003cli\u003eWhy it matters: MoE is a mainstream architecture for current high-performance large models. By optimizing at a low level for next-generation hardware, this technology significantly reduces inference latency and improves computational efficiency, showcasing the immense potential of hardware-software co-design.\u003c/li\u003e\n\u003cli\u003eDiscussion Overview: Discussions centered on the specific technical implementation details of Warp Decode, its performance advantages over existing inference frameworks, and the practical significance of this optimization for improving the real-time response experience of AI coding assistants.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-7-offset-shot-outside-florida-casino-now-stable\"\u003e\n  Topic 7: Offset Shot Outside Florida Casino, Now Stable\n  \u003ca class=\"heading-link\" href=\"#topic-7-offset-shot-outside-florida-casino-now-stable\"\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 Time: 22 hours ago, Related Posts: 0\u003c/li\u003e\n\u003cli\u003eWhat it is: A story circulated on social media claiming that Migos member Offset was shot outside a Florida casino and hospitalized. However, the tweets contained future dates, such as 2026, suggesting it was likely AI-generated fake news.\u003c/li\u003e\n\u003cli\u003eWhy it matters: This incident highlights the risk of AI-synthesized content and disinformation spreading on social platforms, reflecting the urgency of fact-checking in the current AI era and the challenges platforms face in regulating automatically generated content.\u003c/li\u003e\n\u003cli\u003eDiscussion Overview: The discussion focused on the authenticity of the news. Netizens expressed skepticism about logical contradictions in the tweets (like the future dates), alongside chaotic discussions about on-site details, the involvement of other artists, and related rumors.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"todays-ai-public-opinion-summary-on-x\"\u003e\n  Today\u0026rsquo;s AI Public Opinion Summary on X\n  \u003ca class=\"heading-link\" href=\"#todays-ai-public-opinion-summary-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 discourse focuses on the industry\u0026rsquo;s comprehensive shift towards deep vertical integration and hardware-software co-optimization. A strong consensus has been reached in the industry on reducing inference costs and ensuring computational autonomy through self-developed chips and low-level acceleration technologies. Despite rapid technological evolution, significant disagreements persist in the market regarding whether Nvidia\u0026rsquo;s trillion-dollar demand is overdrawn, whether OpenAI can maintain its ecosystem advantage amid fierce competition, and the actual quality of AI-generated code. Meanwhile, integrity controversies surrounding leading figures and the spread of AI-synthesized disinformation highlight the deep underlying risks the industry faces in corporate governance transparency, public trust, and information security.\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\u003eHello! I\u0026rsquo;m an AI industry analyst. Based on the intensive discussions among AI leaders on X over the past 24 hours, I have compiled today\u0026rsquo;s in-depth observations on the AI industry for you.\u003c/p\u003e\n\u003cp\u003eToday\u0026rsquo;s core keywords are: \u003cstrong\u003eHarness Engineering\u003c/strong\u003e, \u003cstrong\u003eClaude\u0026rsquo;s Commercial Hegemony\u003c/strong\u003e, and the \u003cstrong\u003eStructured Evolution of Agent Memory Systems\u003c/strong\u003e.\u003c/p\u003e\n\u003chr\u003e\n\u003ch3 id=\"1-key-technology-trends-and-product-hotspots-of-the-day\"\u003e\n  1. Key Technology Trends and Product Hotspots of the Day\n  \u003ca class=\"heading-link\" href=\"#1-key-technology-trends-and-product-hotspots-of-the-day\"\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=\"harness-engineering-from\"\u003e\n  \u003cstrong\u003eHarness Engineering: From \u0026ldquo;Tuning Prompts\u0026rdquo; to \u0026ldquo;Building the System\u0026rsquo;s Body\u0026rdquo;\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#harness-engineering-from\"\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 hottest concept today is undoubtedly \u003cstrong\u003eHarness Engineering\u003c/strong\u003e. @dotey vividly described it as giving the LLM, this \u0026ldquo;brain in a vat,\u0026rdquo; a complete body (eyes, ears, hands, feet, cerebellum, and a memory system).\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eCore Logic\u003c/strong\u003e: A model\u0026rsquo;s intelligence is the starting point, but the quality of the Harness (the system framework) determines the upper limit of an Agent\u0026rsquo;s performance.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndustry Consensus\u003c/strong\u003e: Vibe Coding is just the initial stage; the real top players are achieving fully automated workflows through Harness architecture (@Pluvio9yte).\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"the-dominance-of-claude-code-and-anthropic\"\u003e\n  \u003cstrong\u003eThe Dominance of Claude Code and Anthropic\u0026rsquo;s Commercial \u0026ldquo;Iron Curtain\u0026rdquo;\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#the-dominance-of-claude-code-and-anthropic\"\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\u003eAnthropic\u0026rsquo;s recent moves have sent major shockwaves through the community:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBusiness Explosion\u003c/strong\u003e: Anthropic\u0026rsquo;s annualized revenue has surpassed $30 billion, with monetization efficiency far exceeding that of OpenAI, firmly establishing its enterprise-level strategy (@dotey).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eEcosystem Tightening\u003c/strong\u003e: Anthropic announced that Claude account credits will no longer support third-party tools like OpenClaw and will monitor system prompts to strictly prevent \u0026ldquo;wrapper\u0026rdquo; behaviors (@op7418, @ruanyf).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eTechnological Peak\u003c/strong\u003e: The release of \u003cstrong\u003eClaude Mythos Preview\u003c/strong\u003e has achieved a significant lead in code fixing and mathematical proofs, but it is exclusively available to major corporations within the Project Glasswing program for security vulnerability scanning (@dotey).\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"the\"\u003e\n  \u003cstrong\u003eThe \u0026ldquo;Agent-ization\u0026rdquo; Race of Domestic and Local Models\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#the\"\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\u003eQwen 3.6 Plus\u003c/strong\u003e: Alibaba released a new model with a focus on enhancing Agent coding capabilities, supporting an ultra-long context of 1 million tokens (@op7418).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eGemma 4\u003c/strong\u003e: Google released a model optimized for local devices, featuring significantly enhanced Agent and tool-calling capabilities, and is considered the top choice for local deployment (@op7418).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eMiMo-V2-Pro\u003c/strong\u003e: Xiaomi launched its top-tier model and introduced Code Plan, entering the programming Agent battlefield (@op7418).\u003c/li\u003e\n\u003c/ul\u003e\n\u003chr\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\u003ch4 id=\"test-cases-the-new-moat-for-code-in-the-ai-era\"\u003e\n  \u003cstrong\u003eTest Cases: The New Moat for Code in the AI Era\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#test-cases-the-new-moat-for-code-in-the-ai-era\"\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\u003e@ruanyf pointed out that as AI can replicate large software like Next.js at an extremely low cost, the moat provided by code itself no longer exists. \u003cstrong\u003eTest cases\u003c/strong\u003e will become the new core asset, as they are the only standard for preventing replication and ensuring the quality of AI-generated output.\u003c/p\u003e\n\u003ch4 id=\"latent-space-reasoning-thinking-that-bypasses\"\u003e\n  \u003cstrong\u003eLatent Space Reasoning: Thinking that Bypasses \u0026ldquo;Human Language\u0026rdquo;\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#latent-space-reasoning-thinking-that-bypasses\"\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\u003e@lijigang shared cutting-edge research on \u0026ldquo;latent space reasoning.\u0026rdquo; Large models are attempting to break free from the constraint of \u0026ldquo;first translating into tokens (human language) before thinking,\u0026rdquo; and instead reasoning directly within their internal vector space. This implies that future AI thinking will be more efficient, less redundant, and capable of handling complex logic that language cannot express.\u003c/p\u003e\n\u003ch4 id=\"the-1\"\u003e\n  \u003cstrong\u003eThe \u0026ldquo;Structural\u0026rdquo; Revolution of AI Knowledge Bases\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#the-1\"\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 \u003cstrong\u003eLLM Wiki\u003c/strong\u003e concept proposed by Andrej Karpathy has sparked intense discussion. @dotey and @lijigang believe that information gathering is no longer an active human endeavor but will be handled by Agents that automatically organize fragmented information into a structured Wiki. This signifies the evolution of personal knowledge management from \u0026ldquo;point-based collection\u0026rdquo; to \u0026ldquo;systematic modeling.\u0026rdquo;\u003c/p\u003e\n\u003ch4 id=\"the-2\"\u003e\n  \u003cstrong\u003eThe \u0026ldquo;Low-Value\u0026rdquo; Trap of Rejecting Ideas\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#the-2\"\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\u003e@dotey quoted Scott Lawson to remind the industry: during a period of rapid AI iteration, killing an idea takes only 2 seconds and requires no imagination, whereas protecting a fragile spark (a new creative idea) is the true skill.\u003c/p\u003e\n\u003chr\u003e\n\u003ch3 id=\"3-recommended-tools--resources\"\u003e\n  3. Recommended Tools \u0026amp; Resources\n  \u003ca class=\"heading-link\" href=\"#3-recommended-tools--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\u003ch4 id=\"agent-frameworks--management\"\u003e\n  \u003cstrong\u003eAgent Frameworks \u0026amp; Management\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#agent-frameworks--management\"\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\u003eHermes Agent\u003c/strong\u003e: Open-sourced by Nous Research, it is seen as a powerful competitor to OpenClaw, possessing the ability to \u0026ldquo;self-evolve\u0026rdquo; by writing its own skills (@dotey).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eSkills Manager / CC Switch\u003c/strong\u003e: Used for managing, installing, and testing various Skill plugins for Claude Code (@lijigang, @vista8).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eOfoxAI\u003c/strong\u003e: An API aggregation and forwarding station supporting over 100 models, suitable for enterprise teams to manage tokens uniformly (@AI_Jasonyu).\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"practical-skill-plugins-based-on-claude-codecodex\"\u003e\n  \u003cstrong\u003ePractical Skill Plugins (based on Claude Code/Codex)\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#practical-skill-plugins-based-on-claude-codecodex\"\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\u003eplanning-with-files\u003c/strong\u003e: Automatically creates an execution plan before a task begins, enhancing the Agent\u0026rsquo;s logical rigor (@vista8).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eClaude-to-IM-skill\u003c/strong\u003e: Connects an Agent to Telegram/Discord for remote control (@op7418).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eHumanizer-zh\u003c/strong\u003e: Removes the \u0026ldquo;AI flavor\u0026rdquo; from AI-generated content to improve the naturalness of Chinese expression (@op7418).\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"memory--productivity-tools\"\u003e\n  \u003cstrong\u003eMemory \u0026amp; Productivity Tools\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#memory--productivity-tools\"\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\u003eMemPalace\u003c/strong\u003e: An open-source local AI memory system that uses a \u0026ldquo;memory palace\u0026rdquo; structure to organize long-term conversations (@dotey).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eVibe Island\u003c/strong\u003e: Adds a \u0026ldquo;Dynamic Island\u0026rdquo;-style prompt to the Mac terminal for Agents, making it easier to monitor the progress of multiple tasks (@Pluvio9yte).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCapWords\u003c/strong\u003e: Combines AI image cutout with foreign language learning, a \u0026ldquo;gamified\u0026rdquo; tool for vocabulary building (@nishuang).\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4 id=\"security-alert\"\u003e\n  \u003cstrong\u003eSecurity Alert\u003c/strong\u003e\n  \u003ca class=\"heading-link\" href=\"#security-alert\"\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\u003eaxios Poisoning Incident\u003c/strong\u003e: @zhixianio reminds developers to inspect their environments to prevent malicious modules like \u003ccode\u003eplain-crypto-js\u003c/code\u003e from compromising Agent security.\u003c/li\u003e\n\u003c/ul\u003e\n\u003chr\u003e\n\u003cp\u003e\u003cstrong\u003eAnalyst\u0026rsquo;s Briefing\u003c/strong\u003e: The AI industry is shifting its focus from an obsession with models to systems engineering. Developers should stop waiting for more powerful models and start building their own \u003cstrong\u003eHarnesses (system frameworks)\u003c/strong\u003e and \u003cstrong\u003estructured memory systems\u003c/strong\u003e. Meanwhile, Anthropic\u0026rsquo;s closed-source strategy signals that open-source Agent frameworks (like Hermes) are poised for a boom.\u003c/p\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\u003eTime window: Last 3 days; 16 sources covered; 3 updates 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/a-visual-guide-to-getting-out-of\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003eA visual guide to getting out of a creative slump\u003c/a\u003e\u003c/strong\u003e\n\u003cul\u003e\n\u003cli\u003ePublication Time: 2026-04-07 20:45 Beijing Time\u003c/li\u003e\n\u003cli\u003eSummary: Each week, I answer reader questions about building products, driving growth, and accelerating your career.\nFor more, see: Lenny’s Podcast | Lennybot | How I AI | My most recommended AI/Product Manager courses, public speaking course, and interview prep assistant.\nI am very, very excited to share a guest post by my wife, Michelle Rial!\nHer first children\u0026rsquo;s picture book, \u0026ldquo;Charts for Babies,\u0026rdquo; is officially out today, and we thought: what better way to celebrate than by collaborating on a post?\nIn it, you\u0026rsquo;ll get a taste of her brilliant mind.\u003c/li\u003e\n\u003cli\u003eEN Highlights:\n\u003cul\u003e\n\u003cli\u003e👋 Hey there, I’m Lenny\u003c/li\u003e\n\u003cli\u003eEach week, I answer reader questions about building product, driving growth, and accelerating your career\u003c/li\u003e\n\u003cli\u003eFor more: Lenny’s Podcast | Lennybot | How I AI | My favorite AI/PM courses , public speaking course , and interview prep copilot\u003c/li\u003e\n\u003cli\u003eSubscribe now\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/anthropics-new-tpu-deal-anthropics-computing-crunch-the-anthropic-google-alliance/\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003eAnthropic’s New TPU Deal, Anthropic’s Computing Crunch, The Anthropic-Google Alliance\u003c/a\u003e\u003c/strong\u003e\n\u003cul\u003e\n\u003cli\u003ePublication Time: 2026-04-07 18:00 Beijing Time\u003c/li\u003e\n\u003cli\u003eSummary: - Anthropic needs compute, and Google has the most: it\u0026rsquo;s a natural partnership, particularly for Google.\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e$15\u003c/strong\u003e/month \u003cem\u003eor\u003c/em\u003e \u003cstrong\u003e$150\u003c/strong\u003e/year.\u003c/li\u003e\n\u003cli\u003eGet in-depth analysis of the day\u0026rsquo;s news via three emails or podcasts per week.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eStratechery Interviews\u003c/strong\u003e.\u003c/li\u003e\n\u003cli\u003eInterviews with CEOs of leading public companies and founders of private ones, plus deep dives with industry analysts.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eEN Highlights:\n\u003cul\u003e\n\u003cli\u003eAnthropic needs compute, and Google has the most: it\u0026rsquo;s a natural partnership, particularly for Google.\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=ZQAz_HrUq68\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003eNVIDIA’s New AI Just Changed Everything\u003c/a\u003e\u003c/strong\u003e\n\u003cul\u003e\n\u003cli\u003ePublication Time: 2026-04-08 01:38 Beijing Time\u003c/li\u003e\n\u003cli\u003eSummary: - ❤️ Click here to learn about Lambda and sign up for their GPU cloud:\n\u003cul\u003e\n\u003cli\u003e📝 The NVIDIA paper on Nemotron 3 Super 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\u003eNVIDIA\u0026rsquo;s new AI changes everything.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eEN Highlights:\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e❤️ Check out Lambda here and sign up for their GPU Cloud:\u003c/li\u003e\n\u003cli\u003e📝 The #NVIDIA paper on Nemotron 3 Super is available here:\u003c/li\u003e\n\u003cli\u003eOur Patreon if you wish to support us:\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\u003c/ul\u003e\n","description":"Today, the AI industry presents a dual trend of vertical integration of underlying computing power and scaled commercial monetization. Intel, in partnership with Musk, launched the Terafab chip project, attempting to reshape supply chain autonomy; Anthropic\u0026rsquo;s revenue run rate reached 30 billion US dollars, and it formed a deep alliance with Google for TPU computing power. At the technical level, the industry\u0026rsquo;s focus is shifting from \u0026ldquo;prompt tuning\u0026rdquo; to \u0026ldquo;Harness Engineering,\u0026rdquo; emphasizing the enhancement of Agent practical performance through system-level architecture and software-hardware collaborative optimization."}