{"title":"2026-04-12 AI Daily | Anthropic Private Market Valuation First Surpasses OpenAI","url":"/en/ai-daily/ai-daily-2026-04-12/","date":"2026-04-12","type":"ai-daily","content":"\u003ch1 id=\"2026-04-12-ai-daily--anthropic-private-market-valuation-exceeds-openai-for-the-first-time\"\u003e\n  2026-04-12 AI Daily | Anthropic Private Market Valuation Exceeds OpenAI for the First Time\n  \u003ca class=\"heading-link\" href=\"#2026-04-12-ai-daily--anthropic-private-market-valuation-exceeds-openai-for-the-first-time\"\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 witnesses a significant market shift: Anthropic\u0026rsquo;s secondary market valuation has for the first time surpassed OpenAI\u0026rsquo;s, reflecting strong capital confidence in the Claude technical path. On the technology front, Zhipu GLM-5.1 further narrows the gap between open-source and closed-source models with its outstanding programming performance. NVIDIA\u0026rsquo;s disclosure of \u0026ldquo;counter-intuitive\u0026rdquo; new architecture portends breakthroughs in model optimization through non-traditional paths. Concurrently, public warnings from US regulatory agencies regarding AI cybersecurity risks signal that the large model compliance process has entered the core layer of financial infrastructure.\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 paradigm shift in engineering and breakthroughs in underlying technology within the AI era.\u003c/p\u003e\n\u003cp\u003eFirst, Lenny’s Newsletter provides an in-depth review of how \u0026ldquo;Vibe Coding\u0026rdquo; evolved from a personal experiment into a team collaboration model. In the era of widespread AI-assisted development, redefining interview processes to unearth genuine engineering signals, and addressing often-overlooked organizational details of technical leadership in offsite meetings, offer practical guidance of significant reference value for technical managers.\u003c/p\u003e\n\u003cp\u003eSecond, NVIDIA\u0026rsquo;s \u0026ldquo;counter-intuitive\u0026rdquo; research has become a hot topic in technical circles. This research presents a new AI architecture that appears theoretically unfeasible but performs astonishingly in practical applications. Algorithm engineers are advised to study the underlying paper, combining it with Weights \u0026amp; Biases\u0026rsquo; in-depth analysis. This may herald new breakthroughs in model performance optimization through non-traditional paths.\u003c/p\u003e\n\u003cp\u003eThese two sets of content accurately capture the latest脉动 (pulse) of the current AI industry in terms of productivity toolification and underlying innovation, from the dimensions of \u0026ldquo;organizational evolution\u0026rdquo; and \u0026ldquo;hardcore frontier,\u0026rdquo; respectively.\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-zais-glm-51-tops-coding-benchmarks-as-free-open-source-powerhouse\"\u003e\n  Topic 1: Z.ai\u0026rsquo;s GLM-5.1 Tops Coding Benchmarks as Free Open-Source Powerhouse\n  \u003ca class=\"heading-link\" href=\"#topic-1-zais-glm-51-tops-coding-benchmarks-as-free-open-source-powerhouse\"\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: Trend time: 17 hours ago, related posts: 1400\u003c/li\u003e\n\u003cli\u003eWhat it is: Zhipu AI released the GLM-5.1 model, which performed exceptionally well in multiple programming benchmarks and is available to developers as a free open-source tool.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: It signifies that open-source models now have the capability to challenge closed-source flagship models in high-difficulty vertical domains like programming, significantly lowering the barrier to entry for high-performance AI development tools.\u003c/li\u003e\n\u003cli\u003eDiscussion Overview: Discussions focus on the performance comparison of GLM-5.1 with domestic open-source models like DeepSeek, and its real-world application performance in complex programming tasks.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-2-treasury-and-fed-alert-wall-street-ceos-to-ai-cyber-risks-from-anthropics-claude-mythos\"\u003e\n  Topic 2: Treasury and Fed Alert Wall Street CEOs to AI Cyber Risks from Anthropic\u0026rsquo;s Claude Mythos\n  \u003ca class=\"heading-link\" href=\"#topic-2-treasury-and-fed-alert-wall-street-ceos-to-ai-cyber-risks-from-anthropics-claude-mythos\"\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: Trend time: 2 days ago, related posts: 53000\u003c/li\u003e\n\u003cli\u003eWhat it is: The U.S. Treasury Department and the Federal Reserve issued a warning to Wall Street CEOs, alerting them to potential cybersecurity risks from using AI models such as Anthropic\u0026rsquo;s Claude.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: This marks the official assessment by top financial regulators of AI\u0026rsquo;s impact on financial system security, highlighting the compliance and security challenges of generative AI in critical infrastructure applications.\u003c/li\u003e\n\u003cli\u003eDiscussion Overview: Discussions center on regulators\u0026rsquo; concerns about potential AI vulnerabilities, the balance between innovation and risk control for financial institutions, and security disputes concerning specific models when handling sensitive financial data.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-3-openai-engineer-defends-mission-amid-access-debates\"\u003e\n  Topic 3: OpenAI Engineer Defends Mission Amid Access Debates\n  \u003ca class=\"heading-link\" href=\"#topic-3-openai-engineer-defends-mission-amid-access-debates\"\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: Trend time: 13 hours ago, related posts: 621\u003c/li\u003e\n\u003cli\u003eWhat it is: An OpenAI engineer publicly responded to recent controversies on social media, defending the company\u0026rsquo;s mission and its stance on model access rights and security.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: As a leading enterprise in the AI industry, the statements from OpenAI\u0026rsquo;s internal employees reveal the dilemma faced by top labs in balancing commercial pressure with a public welfare vision, impacting public confidence in AGI governance.\u003c/li\u003e\n\u003cli\u003eDiscussion Overview: Public opinion focuses on whether OpenAI has deviated from its original non-profit ethos, and whether the employee\u0026rsquo;s defense is based on an endorsement of the technical path or a response to an escalating public relations crisis.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-4-anthropic-tops-openai-in-private-market-valuations-for-first-time\"\u003e\n  Topic 4: Anthropic Tops OpenAI in Private Market Valuations for First Time\n  \u003ca class=\"heading-link\" href=\"#topic-4-anthropic-tops-openai-in-private-market-valuations-for-first-time\"\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: Trend time: 13 hours ago, related posts: 4100\u003c/li\u003e\n\u003cli\u003eWhat it is: Anthropic\u0026rsquo;s valuation in the secondary private market has surpassed OpenAI\u0026rsquo;s for the first time, marking a significant turning point in the competitive landscape of top AI startups.\u003c/li\u003e\n\u003cli\u003eWhy it\u0026rsquo;s important: This reflects investors\u0026rsquo; re-evaluation of leading positions in the AI field, demonstrating that Anthropic\u0026rsquo;s technical path and commercial potential are gaining strong confidence, challenging OpenAI\u0026rsquo;s long-standing market dominance.\u003c/li\u003e\n\u003cli\u003eDiscussion Overview: The discussion centers on whether this valuation inversion is a short-term phenomenon caused by OpenAI\u0026rsquo;s internal turmoil and an oversupply of its shares in the secondary market, or if Anthropic has achieved a substantial lead in valuation driven by the technical reputation of its Claude series of products.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 id=\"topic-5-csk-ends-losing-streak-with-23-run-win-over-dc-at-chepauk\"\u003e\n  Topic 5: CSK Ends Losing Streak with 23-Run Win Over DC at Chepauk\n  \u003ca class=\"heading-link\" href=\"#topic-5-csk-ends-losing-streak-with-23-run-win-over-dc-at-chepauk\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003eCategory: AI · Other\u003c/li\u003e\n\u003cli\u003eOverview: Trending since: 1 day ago, Related posts: 142,000\u003c/li\u003e\n\u003cli\u003eWhat happened: In the Indian Premier League (IPL), the Chennai Super Kings (CSK) defeated the Delhi Capitals (DC) by 23 runs at their home ground, successfully ending their losing streak.\u003c/li\u003e\n\u003cli\u003eWhy it matters: The data stream generated by such large-scale, real-time sporting events serves as crucial training material for optimizing AI-powered real-time news summarization, sports betting prediction models, and social media sentiment analysis algorithms.\u003c/li\u003e\n\u003cli\u003eDiscussion Overview: Discussions on X focused on CSK\u0026rsquo;s tactical comeback, performance analysis of star players, and the impact of this victory on their playoff qualification prospects.\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 narrative revolves around the profound reshaping of the global AI competitive landscape. There is a general consensus that the breakthrough progress of open-source models in highly difficult fields like programming is significantly lowering the technical barrier to entry. Furthermore, AI is penetrating core industries such as financial infrastructure and real-time data processing at an unprecedented rate. The core point of contention lies in the wavering dominance of OpenAI. Whether it\u0026rsquo;s Anthropic\u0026rsquo;s lead in secondary market valuation or the defense of the company\u0026rsquo;s mission by OpenAI\u0026rsquo;s own employees, both have sparked intense debates on \u0026ldquo;technical reputation vs. commercial turmoil\u0026rdquo; and \u0026ldquo;non-profit origins vs. profitability pressures.\u0026rdquo; Meanwhile, public warnings from regulatory bodies about the cybersecurity risks posed by large models in the financial sector reveal the potential crises of compliance and systemic security during the large-scale implementation of AI. This shift in public opinion from pure technological adoration to cautious evaluation signals that the AI industry is entering a new phase that emphasizes security governance, multipolar competition, and practical implementation performance.\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\u003e** @dotey**: The \u0026lsquo;Usage Statistics\u0026rsquo; feature in CC Switch version 3.13 helps users identify if model providers are engaging in spoofing by recording the model names and usage data returned from the upstream provider.\n** @ylecun**: Many of the vulnerabilities and flaws discovered by AI are found in older software, which suggests that the actual impact of some AI security tools may be exaggerated or misleading.\n** @OpenAI**: Clarified the Rate Limits for the $100 Pro subscription plan to specify the usage rights included in the package.\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; Covering 16 sources; 2 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/community-wisdom-vibe-coding-as-a\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003e🧠 Community Wisdom: Vibe coding as a team sport, teaching interviewers to surface real signal, what’s missing from leadership offsites, and more\u003c/a\u003e\u003c/strong\u003e\n\u003cul\u003e\n\u003cli\u003ePublication Time: 2026-04-12 03:36 Beijing Time\u003c/li\u003e\n\u003cli\u003eAbstract: - 👋 Hello, welcome to this week\u0026rsquo;s ✨ Community Wisdom ✨. This is a subscriber-only email sent every Saturday, designed to select and present the most valuable discussion content\u0026hellip;\n\u003cul\u003e\n\u003cli\u003eThis article from Lenny\u0026rsquo;s Podcast explains how \u0026ldquo;Community Wisdom: Vibe coding as a team sport, teaching interviewers to surface real signal, what’s missing from leadership offsites, and more\u0026rdquo; has shaped the broader AI and infrastructure landscape.\u003c/li\u003e\n\u003cli\u003eIt also provides actionable insights for founders, operators, and investors focused on \u0026ldquo;Community Wisdom: Vibe coding as a team sport, teaching interviewers to surface real signal, what’s missing from leadership offsites, and more\u0026rdquo;.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eEN Highlights:\n\u003cul\u003e\n\u003cli\u003e👋 Hello and welcome to this week’s edition of ✨ Community Wisdom ✨ a subscriber-only email, delivered every Saturday, highlighting the most helpful conversation…\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=mFSFvKquXwI\"  class=\"external-link\" target=\"_blank\" rel=\"noopener\"\u003eNVIDIA’s New AI Shouldn’t Work…But It Does\u003c/a\u003e\u003c/strong\u003e\n\u003cul\u003e\n\u003cli\u003ePublication Time: 2026-04-12 00:23 Beijing Time\u003c/li\u003e\n\u003cli\u003eAbstract: - ❤️ Click here to learn about Weights \u0026amp; Biases and sign up for a free demo.\n\u003cul\u003e\n\u003cli\u003e📝 The paper can be found here.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\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 shouldn\u0026rsquo;t have worked\u0026hellip; but it did.\n\u003cul\u003e\n\u003cli\u003eEN Key Points:\n\u003cul\u003e\n\u003cli\u003e❤️ Check out Weights \u0026amp; Biases and sign up for a free demo here:\u003c/li\u003e\n\u003cli\u003e📝 The paper 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\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n","description":"The AI industry witnessed a major turning point in its market landscape today: Anthropic\u0026rsquo;s secondary market valuation surpassed OpenAI\u0026rsquo;s for the first time, reflecting strong investor confidence in Claude\u0026rsquo;s technological path. On the technology front, Zhipu\u0026rsquo;s GLM-5.1 is further narrowing the gap between open-source and closed-source models with its superior programming performance, while NVIDIA\u0026rsquo;s disclosure of a new \u0026ldquo;counter-intuitive\u0026rdquo; architecture signals breakthroughs in model optimization via unconventional paths. Meanwhile, a public warning from US regulatory bodies on AI cybersecurity risks indicates that the compliance process for large models has now reached the core of financial infrastructure."}