System translated (Gemini)

AI Daily | Google Introduces TurboQuant for VRAM Compression, Anthropic Advances Agent Engineering Transformation Link to heading

Today, the AI industry is focused on breakthroughs in inference efficiency and the evolution of Agent architecture. Google has released TurboQuant, capable of compressing the KV cache to one-sixth its original size with no loss in precision, significantly lowering the deployment barriers for large models processing long contexts. Anthropic has introduced the “driving engineering” concept and an automatic mode for Claude Code, signaling the transformation of AI assistants from chatbots to autonomous, task-executing Agents. Furthermore, the LiteLLM supply chain poisoning incident reminds developers to be wary of security risks as the AI ecosystem expands.

I. Today’s Key Highlights Link to heading

  • Watch List: An article from the Google DeepMind Blog, “Lyria 3 Pro: Create longer tracks in more,” deserves priority attention. Key points include: - Introducing Lyria 3 Pro, which unlocks longer tracks through structural awareness.
  • We are also integrating Lyria into more Google products and interfaces.
  • Introducing Lyria 3 Pro, which unlocks longer tracks through structural awareness We are also integrating Lyria into more….
  • Watch List: A total of 23 key updates have been captured in the last 7 days. You can select sources (Podcasts/Newsletters/Videos) for in-depth reading based on your needs.
  • X Hot Topic: The topic “Google’s TurboQuant Compresses AI Memory Sixfold with No Accuracy Loss” is trending (approximately 28,000 related posts) and serves as a good entry point for understanding global AI public opinion and viewpoints.

II. AI Hot Topics on the X Platform (based on bird) Link to heading

Topic 1: Google’s TurboQuant Compresses AI Memory Sixfold with No Accuracy Loss Link to heading

  • Category: AI · Other
  • Overview: Trending for: 1 day ago, Number of related posts: 28,000
  • What it is: Google has introduced TurboQuant technology, which can compress AI VRAM usage (KV cache) to one-sixth of its original size without any loss of accuracy.
  • Why it’s important: This technology significantly lowers the hardware barrier for long-context inference in large models, enabling models that previously required a GPU cluster to be deployed on a single A100, thereby dramatically improving the cost-effectiveness of AI deployment.
  • Discussion summary: Discussions are focused on the sharp decrease in deployment costs for long-context Agents in production environments, and how this technology translates AI research achievements into practical commercial infrastructure advantages.

Topic 2: Oil Prices Plunge Over $45 as Qatar Resumes Operations After Iran Strikes Pause Link to heading

  • Category: AI · News
  • Overview: Trending for: 11 hours ago, Number of related posts: 54,000
  • What it is: International oil prices have dropped significantly by over $45 as Qatar resumes operations following a pause in Iranian strikes.
  • Why it’s important: Energy costs are a core expense for operating AI data centers and training large-scale models. Oil price volatility directly impacts the operational costs of tech giants and their long-term investment budgets for AI infrastructure.
  • Discussion summary: Discussions on social media are focused on whether the drop in energy prices can alleviate the pressure on AI computing costs, and the potential impact of geopolitical situations on the stability of the global tech supply chain.

Topic 3: Iran Charges Ships Up to $2 Million for Strait of Hormuz Passage Amid War Disruptions Link to heading

  • Category: AI · News
  • Overview: Trending for: 2 days ago, Number of related posts: 141,000
  • What it is: Due to regional instability, Iran has begun charging vessels up to $2 million for passage through the Strait of Hormuz.
  • Why it’s important: This strait is a critical node for global hardware logistics. The surge in passage fees could drive up supply chain costs for hardware such as semiconductors and AI servers, and also extend delivery times.
  • Discussion summary: Discussions are focused on the impact of geopolitics on global trade, the fragility of the tech supply chain, and whether the rising shipping costs will ultimately be passed on to downstream AI companies and consumers.

Topic 4: U.S. Airstrikes Continue on Iran as Troop Deployments Raise Ground Action Fears Link to heading

  • Category: AI · Other
  • Overview: Trending for: 3 hours ago, Number of related posts: 93,000
  • What it is: The U.S. is continuing airstrikes on Iranian-related targets and deploying additional troops, raising serious concerns about the Middle East situation escalating into a ground war.
  • Why it’s important: Such conflicts accelerate the practical application of AI technologies in modern electronic warfare, autonomous drone systems, and intelligence analysis. Simultaneously, geopolitical instability could impact the stability of the global AI hardware supply chain.
  • Discussion Overview: The discussion focuses on whether AI-assisted decision-making will lower the threshold for war, and the potential ripple effects of military conflicts on the global semiconductor supply chain and energy costs.

Topic 5: Iran Claims Fifth U.S. F-35 Downed, Debunked by CENTCOM Link to heading

  • Category: AI · News
  • Overview: Trending for: 3 hours ago, Related posts: 50,000
  • What it is: Iran claimed to have shot down a fifth U.S. F-35 fighter jet, a claim that was subsequently officially refuted by the U.S. Central Command (CENTCOM) as disinformation.
  • Why it matters: The incident highlights the severe challenges posed to real-time fact-checking and information security when AI-generated disinformation is combined with social media algorithms in modern conflicts.
  • Discussion Overview: The discussion focuses on the authenticity of Iran’s propaganda methods, the viral spread of false military information on social media platforms, and the role of AI in identifying and curbing such misleading content.

AI Public Opinion Summary on X Today Link to heading

Today’s main narrative reveals a sharp tug-of-war between optimistic expectations for cost reduction and efficiency gains from technology, and supply chain anxiety triggered by geopolitical turmoil. The industry consensus is that technological breakthroughs like Google’s TurboQuant and falling energy prices are significantly lowering the economic barriers to AI deployment, paving the way for the commercialization of long-context applications. However, increased shipping fees and logistical disruptions caused by escalating tensions in the Middle East have led to serious disagreements in the market regarding the stability and ultimate cost trajectory of the hardware supply chain. The potential risks not only point to the impact that geopolitical conflicts could have on the foundational layers of the AI industry through the energy and semiconductor chains, but also highlight the ethical and security challenges of AI as a “double-edged sword” in modern warfare and the spread of disinformation.

III. Influencer Insights Link to heading

Hello! I am your AI industry analyst. Based on the tweets from leading figures in the AI field on X over the past 24 hours, I have compiled today’s industry trends and in-depth insights for you.

A. The “Engineering” Shift in Agent Infrastructure: Harness Engineering Link to heading

Today’s most-watched technical discussion revolves around the research on Harness Engineering published by Anthropic.

  • Core Definition: @Gorden_Sun points out that a Harness, unlike traditional frameworks, covers task decomposition, inter-agent communication, context resetting, and the definition of evaluation criteria.
  • Product Implementation: Claude Code introduces “Auto Mode.” @claudeai announced that this mode allows Claude to decide independently whether to execute file writes or Bash commands, striking a balance between “asking for permission for everything” and “complete autonomy.” @zhixianio commented that it’s more like a “smart subordinate reporting back.”
  • Sandbox Security: Cloudflare launched Dynamic Workers, offering an agent sandboxing solution with millisecond startup times, 100 times faster than containers. It aims to solve the performance and security trade-off when agents execute dynamic code (@Gorden_Sun).

B. The “Lobster” Ecosystem and the Wave of IM Integration (OpenClaw & WeChat) Link to heading

The open-source project OpenClaw (nicknamed “Little Lobster”) continues to gain high traction, prompting mainstream IM platforms to follow suit quickly.

  • WeChat’s Move: WeChat is reportedly grayscale testing a Clawbot plugin that allows integration into private chats. Both @zhixianio and @op7418 expressed surprise, viewing it as a rapid response from a major tech company to AI trends.
  • Community Ecosystem: OpenClaw released versions 3.22/3.23, which refactored the ClawHub plugin system and integrated Skills like XCrawl (web scraping capability) and NetEase Cloud Music (@op7418, @AI_Jasonyu).

C. New Breakthroughs in Vision and Physical World Models Link to heading

  • Luma Uni-1: Luma released Uni-1, an image model with reasoning capabilities that supports understanding spatial relationships and generating complex visual culture. @op7418 believes it is highly competitive in terms of aesthetic results.
  • Meta V-JEPA: Meta’s new paper shows that the V-JEPA model has “understood” physical laws (like gravity and object permanence) by observing videos, far outperforming Gemini 1.5 Pro in physics common sense tests (@vista8).

2. Noteworthy Unique Perspectives and Industry Foresight Link to heading

💡 Product Manager Methodology in the AI Era Link to heading

@Gorden_Sun, citing the views of Anthropic PM Cat Wu, proposed: In the AI era, “Demo first, PRD later.” With development costs plummeting, product managers should directly use AI to create a runnable demo for discussion, rather than wasting time on documentation. Meanwhile, everyone (designers, developers, PMs) should have the ability to directly turn ideas into products.

⚠️ Beware of AI Supply Chain Attacks: The LiteLLM Poisoning Incident Link to heading

@dotey forwarded an urgent warning from @memory/karpathy-pkm-SOP.md: The popular library LiteLLM (v1.82.7/8) has been hit by a supply chain poisoning attack on PyPI. Malicious code steals SSH keys, cloud credentials, and environment variables. This has triggered industry reflection on the “over-reliance on external libraries,” with Karpathy suggesting that for simple functions, it is preferable to have large models generate code directly rather than introducing dependencies.

📉 OpenAI’s Strategic Contraction: The “End” of Sora and the Super App Link to heading

@dotey provided an in-depth analysis of the news that OpenAI is shutting down the standalone Sora app. This signals that OpenAI is pulling back from “side quests” to focus on developing a “super app (Atlas)” that integrates ChatGPT, programming tools, and a browser, in order to counter the strong competition from Anthropic.

🧠 Humanity’s “Beginning” and AI’s “As You Wish” Link to heading

@lijigang cited Hannah Arendt’s view that humans are the “breaking point” and “beginning” of the causal chain. In an era where the barrier to AI has vanished, humanity has leaped from “expressing opinions” to a world of “as you wish.” The core challenge has become: “What do you truly want?”

3. Recommended Tools & Resources Link to heading

🛠️ Developer & Productivity Tools Link to heading

  • Claude Code (Auto Mode): A CLI programming assistant with autonomous decision-making capabilities.
  • OpenCLI / Codepilot: An AI programming enhancement tool that supports WeChat bridging and a plugin system (@op7418).
  • XCrawl: Now integrated into OpenClaw, providing powerful automated web data scraping capabilities (@AI_Jasonyu).
  • Logics-Parsing V2: An open-source OCR model from Alibaba that can accurately recognize sheet music, flowcharts, and code (@vista8).

🎨 Creativity & Content Generation Link to heading

  • Luma Uni-1: An AI painting model with strong reasoning abilities.
  • PrismAudio: Open-sourced by Alibaba, a model that automatically generates matching sound effects for videos (@Gorden_Sun).
  • Suno CLI Plugin: Based on OpenCLI, allows large models to directly generate songs in a specific style by searching for information (@vista8).

📚 High-Quality Prompts & Skill Libraries Link to heading

  • Li Jigang’s Skill Repository: Contains deep thinking tools like “Roundtable Discussion,” “Content Card Casting,” and “Concept Dissection” (@lijigang, @dotey).
  • AJ Slides Skill: Supports 11 styles and can directly generate exquisite slides via API (@dotey).
  • Liquid Glass Landing Page Prompt: @Pluvio9yte shared an engineering-grade prompt set for generating high-quality liquid glass style web pages in one go.

Analyst’s Brief: The past 24 hours show that the AI industry has entered the deep waters of “Agent Operating System-ification.” Whether it’s Anthropic’s definition of Harness or the community’s enthusiasm for OpenClaw, it all indicates that AI is no longer just a dialog box, but is deeply taking over the physical and digital worlds through CLI and IM interfaces. Meanwhile, the LiteLLM security incident reminds us that while enjoying the thrill of Vibe Coding, supply chain security has become an Achilles’ heel that cannot be ignored.

IV. Watch List Update Summary Link to heading

Timeframe: Last 7 days; Covers 16 sources; 23 updates in total

a16z Podcast (A_full) Link to heading

  • Patrick Collison on Stripe’s Early Choices, Smalltalk, and What Comes After Coding
    • Published: 2026-03-24 18:00 Beijing Time
    • Abstract: - Michael Truell, CEO of Cursor, sits down with Patrick Collison, CEO of Stripe and an investor in Anysphere, to talk about Collison’s history using Smalltalk and Lisp, the MongoDB and Ruby decisions Stripe still lives with 15 years later, why he would have spent more time on API design if he could do it again, and whether AI is actually showing up in economic productivity data.
      • This episode originally aired on Cursor’s podcast.
      • Follow Patrick Collison on X: Follow Michael Truell on X: Follow Cursor: Check out everything a16z is doing with AI, including articles, projects, and more podcasts, here.
      • Please note that the content here is for informational purposes only; should not be taken as legal, business, tax, or investment advice or used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund.
  • a16z and its affiliates may maintain investments in the companies discussed.
    • EN Highlights:
      • Michael Truell, CEO of Cursor, sits down with Patrick Collison, CEO of Stripe and an investor in Anysphere, to talk about Collison’s history with Smalltalk a…
      • This episode originally aired on Cursor’s podcast.
      • Follow Patrick Collison on X:    https://twitter.com/patrickc
      • Follow Michael Truell on X: https://twitter.com/mntruell

Y Combinator Podcast (B_intro+search) Link to heading

  • Inside The Startup Reinventing America’s Trillion Dollar Chemical Industry
    • Published: 2026-03-20 23:00 Beijing Time
    • Summary: - You’ve probably heard of OpenClaw (formerly Clawdbot/Moltbot).
      • The sensational open-source AI assistant that runs on your own device, connects with the messaging apps you already use, and goes beyond chat to actually perform tasks like managing email, calendars, files, workflows, and more.
      • Now, meet the person behind it.
      • YC’s Raphael Schaad sits down with OpenClaw founder Peter Steinberger to discuss the ‘aha’ moment behind the viral personal AI agent, why local-first agents could replace many of today’s apps, and how personal agents will reshape the future of software.
    • EN Highlights:
      • Solugen is reinventing the trillion-dollar chemical manufacturing industry by combining biology and chemistry in a new way
      • In this episode of Hard Tech, YC’s Jared Friedman visits co-founders Gaurab Chakrabarti and Sean Hunt at their Houston HQ to see how they went from a $7,000 PVC…
      • They cover the breakthrough behind their enzymatic + catalytic production, how they found their first customers, and why starting small and staying close to cus…

All-In Podcast (A_full) Link to heading

  • Four CEOs on the Future of AI: CoreWeave, Perplexity, Mistral, and IREN

    • Published: 2026-03-24 02:07 Beijing Time
    • Summary: - (0:00) Introduction live from Nvidia GTC (0:37) CoreWeave CEO Michael Intrator (32:58) Perplexity CEO Aravind Srinivas (1:07:11) Mistral CEO….
      • It all happened at the New York Stock Exchange - Follow the besties:.
      • This piece from All-In Podcast explains how Four CEOs on the Future of AI: CoreWeave, Perplexity, Mistral, and IREN shapes the broader AI and infrastructure landscape.
    • EN Highlights:
      • (0:00) Intro live from Nvidia GTC (0:37) CoreWeave CEO, Michael Intrator (32:58) Perplexity CEO, Aravind Srinivas (1:07:11) Mistral CEO,…

  • It all happens at the NYSE - https://nyse.com Follow the besties: https://x.com/ch…

  • How Matt Mahan Thinks He Can Save California

    • Published: 2026-03-23 09:03 Beijing Time
    • Abstract: - (0:00) Matt Mahan: Why He’s Running for Governor (1:51) How California Went From Bad to Worse (12:05) Public Sect….
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      • lang=en <a href=".
    • EN Highlights:

Lenny’s Podcast (A_full) Link to heading

  • How Stripe built “minions”—AI coding agents that ship 1,300 PRs weekly from Slack reactions | Steve Kaliski (Stripe engineer)

    • Published: 2026-03-25 20:03 Beijing Time
    • Abstract: - Steve Kaliski is a software engineer at Stripe where, for the past six and a half years, he has focused on building developer tools and payment infrastructure.
      • He was part of the team that created “minions,” Stripe’s internal AI coding agents that now send about 1,300 pull requests weekly with minimal human intervention outside of code reviews.
      • In this episode, Steve demonstrates how Stripe engineers activate development work from Slack, utilize cloud-based development environments for parallel agent workflows, and shows machine-to-machine payments where AI agents autonomously transact with third-party services.
      • Listen or watch on YouTube, Spotify, or Apple Podcasts What you will learn: - How Stripe’s “minions” write 1,300 pull requests weekly with minimal human intervention - Why a good human developer experience creates better outcomes for AI agents - The key role of cloud development environments in unlocking AI-driven engineering speed - Machine payment protocols that allow AI agents to spend money to complete tasks - Code review strategies for handling thousands of PRs written by agents - Why Stripe’s non-engineers are starting to use Minions to ship code - The future of software businesses built primarily for agent consumers Brought to you by: Optimizely — the AI agent orchestration platform for marketing and digital teams Rippling — stop wasting time on administrative tasks and build your startup faster In this episode, we will cover: ( 00:00 ) Steve’s introduction ( 02:39 ) Stripe’s Minions and their impact across Stripe ( 04:42 ) Why activation energy is more important than execution ( 05:44 ) What is a minion?

  • Technical Architecture (06:52) Demo: Activating Minions in Slack with Emojis (09:04) Why a good developer experience is good for both humans and agents (11:22) Walking through the agent loop and system prompt (13:42) Why Stripe chose Goose as an agent tool (16:00) The role of the developer productivity team at Stripe (17:15) Why cloud environments unlock multi-threaded AI engineering ( 21:14 ) One-shot prompting: from Slack to a delivered PR ( 22:04 ) How Stripe handles code review for 1,300 AI-written PRs per week ( 23:44 ) Non-engineers using Minions across the company ( 24:53 ) Demo: Planning a birthday party with Claude and machine payments ( 32:15 ) Quick recap ( 35:08 ) ) The future of ephemeral, API-first businesses for agents ( 36:36 ) Lightning round and final thoughts Referenced Tools: • Goose (AI agent tool): • Claude Code: • Cursor: • VS Code: • Slack: • Browserbase: • Parallel AI: • PostalForm: • Stripe Climate: Other References: • Stripe machine payments: • Blue-green deployment: • Git worktrees: Where to find Steve Kaliski: Twitter: LinkedIn: Where to find Claire Vo: ChatPRD: Website: LinkedIn: X: Production and marketing.

    • EN Key Points:
      • Steve Kaliski is a software engineer at Stripe wh…
      • He’s part of the team that created “minions”—Stripe’s internal AI coding agents, which now ship approximately 1,300 pull requests…
      • In this episode, Steve demonstrates how Stripe engineers activate development work from Slack and leverage cloud-based development environments for parallel age…
      • i=1000757255000”>Apple Podcasts What you’ll learn:

  • How Stripe’s “minions” write 1,300 pull requ…

  • State of the product job market in early 2026

    • Publication Time: 2026-03-24 20:45 Beijing Time
    • Summary: - Every week, I answer readers’ questions about building products, driving growth, and accelerating their careers.
      • Welcome to our bi-annual state of the product job market—this is our fourth edition, and surprisingly, the most optimistic one yet.
      • In spite of the headlines about layoffs and AI taking jobs, we’re actually seeing a lot of promising signs in tech hiring, and some interesting new trends: - PM openings are at the highest levels we’ve seen in over three years - AI hasn’t slowed the demand for software engineers (at least not yet) - AI roles in general are absolutely exploding - Design roles have plateaued - The Bay Area is increasing in importance - Remote work opportunities continue to decline - Despite ongoing layoffs, the overall number of tech jobs continues to grow. While these numbers are promising, I know many people are having a hard time finding a job right now.
      • More job openings don’t mean people are finding jobs faster.

  • To anyone who has encountered this situation, first of all, I am very sorry.

    • EN Highlights:
      • 👋 Hey there, I’m Lenny
      • Each week, I answer reader questions about building product, driving growth, and accelerating your career
      • For more: Lenny’s Podcast | Lennybot | <a href=“https://www…
      • via=lenny”>public speaking course , and interview prep copilot <a class…

  • State of the product job market in early 2026

    • Release Time: 2026-03-24 17:02 Beijing Time
    • Abstract: - <a class=“image-link image2 is-viewable-img” href=".
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      • Today’s show is our fourth semi-annual update on the tech job market (the most optimistic one to date), and it details the seven key trends shaping the employment landscape…
    • EN Highlights:
      • <a class=“image-link image2 is-viewable-img” href=“https://substackcdn.com/image/fetch/$s_
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      • Today’s episode is our fourth biannual update on the tech job market (the most optimistic yet) and breaks down seven key trends shaping the job landscape…

  • 🎙️ This week on How I AI: How Microsoft’s AI VP automates everything with Warp

    • Release Time: 2026-03-23 23:02 Beijing Time
    • Abstract: - How Microsoft’s AI VP automates everything with Warp | Brought to you by Marco Casalaina: - Rovo — The AI that understands your business -Lovable — Build applications by simply chatting with an AI. Marco Casalaina, VP of Core AI Products at Microsoft, explains how to use Warp, Microsoft 365 Copilot, and ChatGPT to dynamically launch lightweight “micro-agents” that handle everything from Azure management to document scanning to video compression.
      • Listen now on YouTube • Spotify • Apple Podcasts. Key takeaways: - Automation allows you to focus on higher-value activities.

  • As Marco says: “While these agents are doing what I need them to do, I’m doing other things.” When scanning his daughter’s homework, he was able to help her with math problems instead of wrestling with the scanning software.

  • Hardware automation is an underappreciated AI use case.

  • Marco demonstrates how Warp can control his scanner via the scanner CLI tool NAPS2.

  • EN Highlights:

    • <a class=“image-link image2” href=“https://substackcdn.com/image/fetch/$s_
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  • How Microsoft’s AI VP automates everything with Warp | Marco Casalaina

    • Release Time: 2026-03-23 20:01 Beijing Time
    • Abstract: - Marco Casalaina, Microsoft’s VP of Core AI Products and an AI futurist, demonstrates how to use AI tools to automate administrative tasks that would normally consume valuable time.
      • Instead of using Warp as a coding assistant (its primary marketing purpose), Marco utilizes it to manage Azure resources, scan documents, compress videos, and more.
      • He shows how these “micro-agents” reduce friction in daily workflows, allowing him to focus on higher-value activities.
      • Marco also demonstrates how Microsoft 365 Copilot and ChatGPT can create triggered workflows to respond to emails or check schedule information, emphasizing how the line between consuming and building AI agents is blurring.
      • Listen or watch on YouTube, Spotify, or Apple Podcasts. What you will learn: - How to use Warp to manage Azure resources and assign permissions without navigating complex web interfaces - Techniques for automatically scanning and processing documents directly from the terminal - Methods for analyzing and compressing video files using AI-generated FFmpeg commands - How to create simple rules that significantly improve AI performance on specialized tasks - How to build triggered workflows in Microsoft 365 Copilot to automatically reply to emails - How to configure ChatGPT to perform scheduled tasks, such as checking for new content - Strategies for creating consistent AI interactions using AutoHotkey shortcuts. Provided by: Rovo — The AI that understands your business. Lovely — Build applications by simply chatting with an AI. In this episode, we will cover: ( 00:00 ) Introduction to Marco Casalaina ( 02:14 ) Why Marco chooses Warp for administrative tasks ( 03:57 ) Demo: Using Warp to manage Azure resources and permissions (06:00) How CLI tools eliminate GUI friction for complex tasks (07:18) Creating rules to improve AI performance for specialized tasks (10:28) Demo: Document scanning automation (13:00) Using Python to automate merging of odd and even pages (15:04) The value of temporary AI solutions vs. ad-hoc AI solutions.
    • EN Highlights:
      • Marco Casalaina , VP of Core AI Products and AI Fu…

  • Rather than using Warp as a coding assistant (its primary marketed purpose), Marco leverages it to manage Azure resources, scan documents, compress videos, and…

  • He shows how these “micro-agents” can reduce friction in everyday workflows, allowing him to focus on higher-value activities

  • Marco also demonstrates how Microsoft 365 Copilot and ChatGPT can create triggered workflows that respond to emails or check for information on a schedule, high…

  • The art of influence: The single most important skill that AI can’t replace | Jessica Fain (Webflow, ex-Slack)

    • Published: 2026-03-22 20:31 Beijing time
    • Summary: - Jessica Fain is a product leader at Webflow and former Chief of Staff to the CPO at Slack, where she worked alongside April Underwood and many past podcast guests including Stewart Butterfield, Annie Pearl, Tamar Yehoshua, and Noah Weiss.
      • She’s spent her career learning how executives actually make decisions—and why most people completely misunderstand the process.
      • Why executive calendars are “like strobe lights” and why the first 30 seconds of a meeting are so important 3.
      • Why executives typically optimize for the global maximum, while you are usually optimizing locally 4.
      • When leaders say something that seems wrong, the best question Jessica uses is: “That’s so interesting.
    • EN Highlights:
      • Jessica Fain is a product leader at Webflow and former Chief of Staff to the CPO at Slack, where she worked alongside April Underwood and ma…
      • She’s spent her career learning how executives actually make decisions—and why most people completely misunderstand the process.

We discuss… - Why great ideas often don’t get buy-in 2 - Why executive calendars are “like strobe lights” and why the first 30 seconds of a meeting matter so much 3

  • 🧠 Community Wisdom: Beating the solo-founder procrastination trap, best tools for B2B prospecting, finding your first real users pre-launch, and more
    • Published: 2026-03-22 01:19 Beijing time
    • Summary: - 👋 Hello, and welcome to this week’s ✨ Community Wisdom ✨ a subscriber-only email sent every…
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    • EN Highlights:
      • 👋 Hello and welcome to this week’s edition of ✨ Community Wisdom ✨ a subscriber-only email, delivered every…
      • ,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa1ca8352-9571-4b81-b041-52374176f4fc_2912x1456.p…
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Stratechery by Ben Thompson （A_full） Link to heading

  • Arm Launches Own CPU, Arm’s Motivation, Constraints and Systems

    • Publication Time: 2026-03-25 18:00 Beijing Time
    • Summary: - Arm is selling its own chips, not just licensing IP.
      • It’s a big change compared to Arm’s history, but not surprising given how computing is evolving.
      • $15 / month or $150 / year.
      • In-depth analysis of the day’s news through three weekly emails or podcasts.
      • Stratechery Interviews.
    • EN Highlights:
      • Arm is selling its own chips, not just licensing IP
      • It’s a big change compared to Arm’s history, but not surprising given how computing is evolving.

  • Spring Break

    • Publication Time: 2026-03-23 18:00 Beijing Time
    • Summary: - Stratechery is on a bit of a disjointed Spring Break, as my usual week off will be spread out:.
        • There will be no Update on Thursday, March 19.
        • There will be no updates on Monday and Tuesday, March 23-24; there will be an Update and Interview on Wednesday and Thursday, March 25–26.
        • There will be no update on Monday, March 30.
      • All other Stratechery Plus content, including my podcasts, will stay on schedule.
    • EN Highlights:
      • Stratechery is on a bit of a disjointed Spring Break, as my usual week off will be spread out:
        • There will be no Update on Thursday, March 19
    • There will be no Update on Monday and Tuesday, March 23–24; there will be an Update and Interview on Wednesday and Thursday, March 25–26

  • 2026.12: Please Listen to My Podcast

    • Publication Time: 2026-03-21 01:00 Beijing Time
    • Abstract: - (Photo by Benjamin Fanjoy/Getty Images) Welcome back to This Week in Stratechery!
      • As a reminder, every week on Friday, we send out an overview of the content in the Stratechery bundle; highlighted links are free for everyone.
      • Additionally, you have full control over the content we send you.
      • If you do not wish to receive this week’s Stratechery email (without the podcast), please uncheck the box in your sending settings.
      • With that said, here are some of our favorites from this week.
    • EN Highlights:
      • <img alt=”” class=“wp-image-18592” height=“1133” src=“https://i0.wp.com/stratechery.com/wp-content/uploads/2…
      • resize=1700%2C1133&ssl=1” width=“1700” /> (Photo by Benjamin Fanjoy/Getty Images)
      • Welcome back to This Week in Stratechery
      • As a reminder, each week, every Friday, we’re sending out this overview of content in the Stratechery bundle; hig…

OpenAI Blog (A_full) Link to heading

  • Inside our approach to the Model Spec

    • Publication Time: 2026-03-25 18:00 Beijing Time
    • Abstract: - At OpenAI, we believe AI should be fair, safe, and free, so that more people can use it to solve difficult problems, create opportunities, and benefit in areas like health, science, education, work, and daily life.
      • We believe that democratizing access to AI is the best path forward: instead of concentrating the benefits or control of AI in the hands of a few, it should be accessible for more people to understand and help shape AI.
      • This is the core reason for the existence of the OpenAI Model Spec.
      • It defines how we want models to follow instructions, resolve conflicts, respect user freedom, and operate safely across the extremely broad range of queries users pose every day.
      • More broadly, we are trying to make expected model behavior explicit: not just during our training process, but also in a form that users, developers, researchers, policymakers, and the wider public can actually read, scrutinize, and debate.
    • EN Highlights:
      • Learn how OpenAI’s Model Spec serves as a public framework for model behavior, balancing safety, user freedom, and accountability as AI systems advance.

  • Introducing the OpenAI Safety Bug Bounty program

    • Publication Time: 2026-03-25 08:00 Beijing Time
    • Abstract: - Testing for safety and abuse issues across OpenAI.
      • As AI technology rapidly evolves, so do the potential ways it can be misused.
      • Our goal is to ensure our systems remain safe and secure against misuse or abuse that could lead to tangible harm.
      • Through this program, we look forward to continuing our collaboration with security and safety researchers to help us identify and address issues that do not fall under traditional security vulnerabilities but still pose a real risk.
      • Submissions will be triaged by OpenAI’s safety and security bug bounty team and may be rerouted between the two programs based on scope and ownership.

  • EN Highlights:

    • OpenAI launches a Safety Bug Bounty program to identify AI abuse and safety risks, including agentic vulnerabilities, prompt injection, and data exfiltration.

  • Helping developers build safer AI experiences for teens

    • Published: 2026-03-24 19:00 Beijing Time
    • Summary: - This article from the OpenAI blog explains how to help developers build safer AI experiences for teens, thereby shaping the broader AI and infrastructure landscape.
      • Following “Helping developers build safer AI experiences for teens,” it also brings practical implications for founders, operators, and investors.
    • EN Highlights:
      • OpenAI releases prompt-based teen safety policies for developers using gpt-oss-safeguard, helping moderate age-specific risks in AI systems.

  • Update on the OpenAI Foundation

    • Published: 2026-03-24 17:00 Beijing Time
    • Summary: - This article from the OpenAI blog explains how the update on the OpenAI Foundation shapes the broader AI and infrastructure landscape.
      • Following the update on the OpenAI Foundation, it also brings practical implications for founders, operators, and investors.
    • EN Highlights:
      • The OpenAI Foundation announces plans to invest at least $1 billion in curing diseases, economic opportunity, AI resilience, and community programs.

  • Powering product discovery in ChatGPT

    • Published: 2026-03-24 17:00 Beijing Time
    • Summary: - This article from the OpenAI blog explains how powering product discovery in ChatGPT shapes the broader AI and infrastructure landscape.
      • Following the powering of product discovery in ChatGPT, it also brings practical implications for founders, operators, and investors.
    • EN Highlights:
      • ChatGPT introduces richer, visually immersive shopping powered by the Agentic Commerce Protocol, enabling product discovery, side-by-side comparisons, and merch…

  • Creating with Sora Safely

    • Published: 2026-03-23 08:00 Beijing Time
    • Summary: - To address the new safety challenges posed by state-of-the-art video models and new social creation platforms, we have built Sora 2 and the Sora application with a foundation of safety.
      • Our approach is grounded in concrete safeguards.
      • To address the new safety challenges presented by state-of-the-art video models and new social creation platforms, we built Sora 2 and the Sora app… Our approach is grounded in concrete safeguards.
    • EN Highlights:

  • To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we’ve built Sora 2 and the Sora app wi…

  • Our approach is anchored in concrete protections.

Google DeepMind Blog （A_full） Link to heading

  • Lyria 3 Pro: Create longer tracks in more
    • Published: 2026-03-26 00:01 Beijing Time
    • Summary: - Introducing Lyria 3 Pro, which can unlock longer tracks through structural awareness.
      • We are also introducing Lyria into more Google products and interfaces.
      • Introducing Lyria 3 Pro, which can unlock longer tracks through structural awareness. We are also introducing Lyria into more Google products and interfaces.
    • EN Highlights:
      • Introducing Lyria 3 Pro, which unlocks longer tracks with structural awareness
      • We’re also bringing Lyria to more Google products and surfaces.

Two Minute Papers （B_intro+search） Link to heading

Lex Fridman （B_intro+search） Link to heading