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    <title>Deep News — Superlinear Academy (English)</title>
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      <title>Two Ways to Die, One Way to Live: The AI Model Company Consolidation</title>
      <link>https://yage.ai/share/ai-model-companies-consolidation-en-20260518.html</link>
      <description>AI21 Labs cut 60% staff and stopped selling models. Meta forcibly reassigned thousands into AI. Together they show the middle ground is disappearing — the model layer is commoditizing.</description>
      <pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-model-companies-consolidation-en-20260518.html</guid>
      <language>en</language>
      <category>Industry &amp; Competition</category>
      <category>AI Products &amp; Platforms</category>
    </item>
    <item>
      <title>Pi: A Better AI Coding Tool, Locked Out</title>
      <link>https://yage.ai/share/pi-coding-agent-locked-out-en-20260518.html</link>
      <description>Pi's minimalist design philosophy, what it spawned, and why people who love it can't use it — how Anthropic's subscription strategy locks out a better harness.</description>
      <pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/pi-coding-agent-locked-out-en-20260518.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>AI Coding</category>
      <category>Developer Tools</category>
    </item>
    <item>
      <title>The Vibe Coding Security Crisis</title>
      <link>https://yage.ai/share/vibe-coding-security-crisis-en-20260517.html</link>
      <description>Default public settings on AI coding platforms expose thousands of apps with sensitive data. The issue isn't AI code quality — it's the one-click deploy default.</description>
      <pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/vibe-coding-security-crisis-en-20260517.html</guid>
      <language>en</language>
      <category>AI Coding</category>
      <category>Security &amp; Supply Chain</category>
    </item>
    <item>
      <title>From Zero to Cloudflare: Rewriting Tools for AI, Not Just Wrapping APIs</title>
      <link>https://yage.ai/share/ai-rewrite-tools-zero-cloudflare-en-20260518.html</link>
      <description>Vercel's Zero and Cloudflare's Code Mode MCP are doing the same thing: not just exposing APIs to AI, but redesigning interactions around AI's actual characteristics — no memory, can't browse, needs precision. Most AI-first is just thin wrappers.</description>
      <pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-rewrite-tools-zero-cloudflare-en-20260518.html</guid>
      <language>en</language>
      <category>AI Coding</category>
      <category>Developer Tools</category>
      <category>AI Agent</category>
    </item>
    <item>
      <title>From Zero to Cloudflare: Rewriting Tools for AI, Not Just Wrapping APIs</title>
      <link>https://yage.ai/share/ai-rewrite-tools-zero-cloudflare-en-20260518.html</link>
      <description>Vercel's Zero and Cloudflare's Code Mode MCP are doing the same thing: not just exposing APIs to AI, but redesigning interactions around AI's actual characteristics — no memory, can't browse, needs precision. Most AI-first is just thin wrappers.</description>
      <pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-rewrite-tools-zero-cloudflare-en-20260518.html</guid>
      <language>en</language>
      <category>AI Coding</category>
      <category>Developer Tools</category>
      <category>AI Agent</category>
    </item>
    <item>
      <title>How to Pick a Microphone for Talking to AI Coding Tools</title>
      <link>https://yage.ai/share/vibe-coding-microphone-nearfield-en-20260517.html</link>
      <description>The vibe coding microphone problem is really a distance problem: near-field pickup solves both privacy and accuracy at once. Three paths with concrete product options.</description>
      <pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/vibe-coding-microphone-nearfield-en-20260517.html</guid>
      <language>en</language>
      <category>AI Coding</category>
      <category>Developer Tools</category>
    </item>
    <item>
      <title>Agent Runtime Is Becoming AI's Next Battleground</title>
      <link>https://yage.ai/share/agent-runtime-battlefield-en-20260516.html</link>
      <description>Cline's benchmark data and DeepSeek's Harness PM job posting both point to the same conclusion: agent runtime isn't just a neglected engineering layer — it's becoming the primary competitive surface for the AI industry.</description>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/agent-runtime-battlefield-en-20260516.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>AI Coding</category>
      <category>Developer Tools</category>
    </item>
    <item>
      <title>OpenAI Just Reached Into Your Bank Account</title>
      <link>https://yage.ai/share/openai-plaid-banking-en-20260516.html</link>
      <description>OpenAI connected ChatGPT to bank accounts through Plaid. It looks like a personal finance tool, but it's really a perception anchor—using the highest-sensitivity data type to test whether ChatGPT can become personal decision infrastructure.</description>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/openai-plaid-banking-en-20260516.html</guid>
      <language>en</language>
      <category>AI</category>
      <category>Finance</category>
    </item>
    <item>
      <title>Software Got Cheaper to Make. It Also Got Harder to Sell.</title>
      <link>https://yage.ai/share/software-cheaper-harder-sell-en-20260516.html</link>
      <description>AI has collapsed the barrier to building software while simultaneously making adoption harder than ever. An analysis of why startups and incumbents are stuck on opposite sides of the trust equation.</description>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/software-cheaper-harder-sell-en-20260516.html</guid>
      <language>en</language>
      <category>AI Coding</category>
      <category>Industry &amp; Competition</category>
      <category>AI Products &amp; Platforms</category>
    </item>
    <item>
      <title>When AI Starts Selling Industries Instead of Code</title>
      <link>https://yage.ai/share/claude-vertical-solutions-en-20260514.html</link>
      <description>In one week of May 2026, Anthropic launched vertical solutions for financial services, legal, and small business — one strategy unfolding in three directions. The unit of reuse in AI is shifting from code to industry know-how.</description>
      <pubDate>Thu, 14 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/claude-vertical-solutions-en-20260514.html</guid>
      <language>en</language>
      <category>AI Products &amp; Platforms</category>
      <category>Industry &amp; Competition</category>
      <category>AI Agent</category>
    </item>
    <item>
      <title>The AI Industry Is Searching for a New Metric</title>
      <link>https://yage.ai/share/ai-metric-proxy-search-en-20260513.html</link>
      <description>Token-based metrics are failing in the agent era. Salesforce and Baidu are independently pushing toward the same shift: from how much was consumed to how much was completed.</description>
      <pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-metric-proxy-search-en-20260513.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>Industry &amp; Competition</category>
      <category>AI Products &amp; Platforms</category>
    </item>
    <item>
      <title>They Build Connectors. Google Calls the OS. Why Model Quality Won't Close the AI Platform Gap</title>
      <link>https://yage.ai/share/gemini-os-android-intent-en-20260512.html</link>
      <description>Google's Gemini Intelligence lets AI operate any app on your phone. OpenAI and Anthropic can't match this—not because their models are worse, but because they don't own the operating system.</description>
      <pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/gemini-os-android-intent-en-20260512.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>AI Products &amp; Platforms</category>
      <category>Industry &amp; Competition</category>
    </item>
    <item>
      <title>AI Dictation's Battleground Isn't Model Quality—It's Keyboard Access</title>
      <link>https://yage.ai/share/ai-dictation-keyboard-layer-en-20260513.html</link>
      <description>When every product handles basic transcription, the market isn't decided by who has the better model—it's decided by who owns keyboard-level mic access, pre-installed distribution, and zero-price pricing. Google has all three.</description>
      <pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-dictation-keyboard-layer-en-20260513.html</guid>
      <language>en</language>
      <category>AI Products &amp; Platforms</category>
      <category>Industry &amp; Competition</category>
      <category>Developer Tools</category>
    </item>
    <item>
      <title>Where Should You Put Your API Keys? A Practical Guide for Two Common Scenarios</title>
      <link>https://yage.ai/share/api-key-where-en-20260511.html</link>
      <description>A practical guide for developers without security backgrounds on where to store API keys. Breaks down the threat model differences between personal machines and production servers, with concrete, actionable recommendations.</description>
      <pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/api-key-where-en-20260511.html</guid>
      <language>en</language>
      <category>API Key</category>
      <category>Security</category>
      <category>Developer Tools</category>
    </item>
    <item>
      <title>Google Killed Project Mariner — But Anthropic and OpenAI Didn't Succeed Either</title>
      <link>https://yage.ai/share/google-project-mariner-shutdown-en-20260511.html</link>
      <description>Google quietly shut down Project Mariner on May 4. But the real story isn't Google falling behind — it's that all three companies building browser agents arrived at the same conclusion. A deep analysis of why standalone browser agents failed, and why sharing the user's real session is the path forward.</description>
      <pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/google-project-mariner-shutdown-en-20260511.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>Industry &amp; Competition</category>
    </item>
    <item>
      <title>DeployCo Is Here: OpenAI and Anthropic Invented the Same Company on the Same Day — Then Went in Opposite Directions</title>
      <link>https://yage.ai/share/openai-deployco-anthropic-pe-divergence-en-20260511.html</link>
      <description>On May 4, OpenAI and Anthropic both announced PE joint ventures for enterprise AI deployment. This article traces the three-generation evolution of AI Rollups, analyzes why PE became the partner of choice, why the two deals diverge so sharply (17.5% guaranteed return vs zero guarantee), and what this means for the AI competitive landscape.</description>
      <pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/openai-deployco-anthropic-pe-divergence-en-20260511.html</guid>
      <language>en</language>
      <category>Industry &amp; Competition</category>
      <category>AI Products &amp; Platforms</category>
      <category>AI Agent</category>
    </item>
    <item>
      <title>How Anthropic Trained Computer Use — Reading the Training Pipeline from a Patent</title>
      <link>https://yage.ai/share/anthropic-computer-use-training-patent-en-20260510.html</link>
      <description>Where does Computer Use training data come from? Academic UI grounding datasets suffice for benchmarks but not products. Anthropic patent reveals its pipeline: intercept user actions, use a transformer to infer intent, apply a stronger model for synthetic expansion — three stages that turn raw operations into reasoning data.</description>
      <pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/anthropic-computer-use-training-patent-en-20260510.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>AI Products &amp; Platforms</category>
      <category>Retrieval &amp; Knowledge Systems</category>
    </item>
    <item>
      <title>Why TDD Is Not the Answer in the AI Era</title>
      <link>https://yage.ai/share/tdd-not-ai-native-en-20260508.html</link>
      <description>Traditional TDD relies on a silent premise — that the implementer optimizes for correctness, with tests serving as road signs. AI has no such internal standard; tests become destinations, and Goodhart's Law collapses the methodology's constraining power. The AI-era solution is not to abandon testing, but to pull determinism from code paths back to system boundaries.</description>
      <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/tdd-not-ai-native-en-20260508.html</guid>
      <language>en</language>
      <category>AI Coding</category>
      <category>AI Agent</category>
    </item>
    <item>
      <title>Chrome Silently Pushes a 4GB AI Model to Hundreds of Millions of Devices: An Overlooked Explanation</title>
      <link>https://yage.ai/share/ai-silent-model-deployment-en-20260508.html</link>
      <description>Chrome silently pushed Gemini Nano to 500M devices without consent. This article asks not whether this is legal, but what it might really be doing: a privacy-compliant local data preprocessing pipeline that filters noise on-device, extracts high-signal patterns, and sends only structured metadata to the cloud.</description>
      <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-silent-model-deployment-en-20260508.html</guid>
      <language>en</language>
      <category>AI Products &amp; Platforms</category>
      <category>Governance &amp; Compliance</category>
    </item>
    <item>
      <title>Your Encryption Has an Expiration Date</title>
      <link>https://yage.ai/share/pqc-why-now-en-20260508.html</link>
      <description>Quantums threat to encryption is often framed as "one day, all crypto breaks at once." The real threat model is more nuanced: Harvest Now, Decrypt Later is already active, algorithmic progress is rapidly shrinking the safety window, and defensive migration has an irreducible 5-10 year engineering timeline. This article covers the Salt Typhoon case, the Google 2026 ECC paper, industry readiness, and what enterprises can do now vs what can wait.</description>
      <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/pqc-why-now-en-20260508.html</guid>
      <language>en</language>
      <category>Security</category>
      <category>Quantum Computing</category>
    </item>
    <item>
      <title>From Agent Memory to Agent Filesystem: What the Shift Really Means</title>
      <link>https://yage.ai/share/agent-filesystem-survey-en-20260507.html</link>
      <description>If you have been watching AI agent infrastructure over the past year, you have noticed more and more teams talking about file systems. Turso AgentFS, Anthropic filesystem-based MCP, Vercel no-vector-DB knowledge template, Manus context engineering — they all point in one direction: when context cost becomes the binding constraint, any architecture that reduces it wins. This article traces three generations (raw context → memory systems → filesystem as context), unpacks the design philosophy of four players, examines four blind spots, and projects a layered architectural future.</description>
      <pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/agent-filesystem-survey-en-20260507.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>Retrieval &amp; Knowledge Systems</category>
    </item>
    <item>
      <title>Anthropic Locks Every Compute Channel While xAI Rents Out Its Castle</title>
      <link>https://yage.ai/share/anthropic-compute-strategy-xai-colossus-en-20260507.html</link>
      <description>Over the past six months, Anthropic signed four compute contracts—AWS Trainium, Google TPU, SpaceXAI Colossus 1, and CoreWeave—spanning three chip architectures and five suppliers. In the same window, xAI leased its entire Colossus 1 supercomputer to the same competitor, with GPU utilization at just 11%. This article examines why these two stories reveal more together than apart: compute is transitioning from strategic moat to commodity.</description>
      <pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/anthropic-compute-strategy-xai-colossus-en-20260507.html</guid>
      <language>en</language>
      <category>Industry &amp; Competition</category>
    </item>
    <item>
      <title>OpenAI and Cursor both turned to Plugins. This is what they were really after.</title>
      <link>https://yage.ai/share/skill-plugin-evolution-en-20260507.html</link>
      <description>Why OpenAI and Cursor both shifted from Skills to Plugins in the same window — and why their real motives have almost nothing in common. An analysis of the Skill monetization problem, the three gaps Plugins fill, and the very different survival threats driving each platform's bet.</description>
      <pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/skill-plugin-evolution-en-20260507.html</guid>
      <language>en</language>
      <category>AI Products &amp; Platforms</category>
      <category>Industry &amp; Competition</category>
    </item>
    <item>
      <title>In the AI Era, Reviewing Is Not Independent Judgment</title>
      <link>https://yage.ai/share/ai-review-independent-judgment-en-20260506.html</link>
      <description>An English analysis of how AI use can turn independent judgment into post-hoc review, using Shaw and Nave’s experiment to explain why high-verification-complexity tasks need an independent baseline before cross-checking AI output.</description>
      <pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-review-independent-judgment-en-20260506.html</guid>
      <language>en</language>
      <category>Community &amp; Cognition</category>
      <category>Personal Decisions</category>
    </item>
    <item>
      <title>AI “Euphorics” Experiments: A Walk Through the AI Wellbeing Paper</title>
      <link>https://yage.ai/share/ai-wellbeing-euphorics-en-20260505.html</link>
      <description>An English guide to the AI Wellbeing paper, starting from its AI euphorics experiments and explaining how model preferences can be measured, optimized, manipulated, and bounded by non-transfer across models.</description>
      <pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-wellbeing-euphorics-en-20260505.html</guid>
      <language>en</language>
      <category>Science &amp; Tech Frontiers</category>
      <category>Model Architecture</category>
      <category>Security &amp; Supply Chain</category>
    </item>
    <item>
      <title>AI Scaffolding Is Becoming a Commodity; Human Work Is Moving to Boundary Judgment</title>
      <link>https://yage.ai/share/ai-scaffolding-commodity-runtime-en-20260505.html</link>
      <description>An English analysis of AI agent scaffolding becoming commoditized: model capability absorbs low-level prompt tricks, standard runtimes absorb common execution loops, and the remaining human work is deciding what to delegate and what domain-specific judgment to preserve.</description>
      <pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-scaffolding-commodity-runtime-en-20260505.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>AI Coding</category>
      <category>AI Products &amp; Platforms</category>
    </item>
    <item>
      <title>Can AI Bring Software to Businesses It Could Not Reach Before? Why the FDE Model Matters</title>
      <link>https://yage.ai/share/fde-ai-smb-digitization-en-20260503.html</link>
      <description>An essay on FDEs, AI, and under-digitized small businesses: the opportunity is not only automating existing software users, but reducing the cost of translating real-world business into systems.</description>
      <pubDate>Sun, 03 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/fde-ai-smb-digitization-en-20260503.html</guid>
      <language>en</language>
      <category>AI Products &amp; Platforms</category>
      <category>Industry &amp; Competition</category>
      <category>AI Agent</category>
    </item>
    <item>
      <title>Choosing an AI Direction in 2026: Is RAG Worth Betting On?</title>
      <link>https://yage.ai/share/rag-career-direction-en-20260502.html</link>
      <description>A direction-setting essay for readers already working near AI, technology, product, or data: RAG remains a strong entry point, but basic pipeline work is depreciating while the premium shifts toward evaluation, governance, and agentic workflow.</description>
      <pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/rag-career-direction-en-20260502.html</guid>
      <language>en</language>
      <category>Retrieval &amp; Knowledge Systems</category>
      <category>AI Products &amp; Platforms</category>
      <category>AI Agent</category>
    </item>
    <item>
      <title>Before AI Agents Can Pay, Payments Needs a Trust Chain</title>
      <link>https://yage.ai/share/agent-payments-trust-chain-en-20260501.html</link>
      <description>The hard part of Agent payments is not merely letting AI click the pay button. It is turning human intent, authorization boundaries, restricted credentials, merchant acceptance, network risk, audit disputes, and decision quality into a verifiable trust chain.</description>
      <pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/agent-payments-trust-chain-en-20260501.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>AI Products &amp; Platforms</category>
      <category>Trust &amp; Governance</category>
    </item>
    <item>
      <title>Evaluation-First: What Cursor's Agent Harness Post Is Really Worth Reading For</title>
      <link>https://yage.ai/share/cursor-agent-harness-evaluation-first-en-20260501.html</link>
      <description>Cursor's new post looks like a report on continual agent harness improvement, but its real value is showing how an evaluation system drives model adaptation, context strategy, tool reliability, and shipping decisions.</description>
      <pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/cursor-agent-harness-evaluation-first-en-20260501.html</guid>
      <language>en</language>
      <category>AI Coding</category>
      <category>AI Agent</category>
      <category>AI Products &amp; Platforms</category>
    </item>
    <item>
      <title>Paper Guide: Another Yardstick for Knowledge Capacity</title>
      <link>https://yage.ai/share/ikp-knowledge-capacity-paper-guide-en-20260429.html</link>
      <description>IKP uses long-tail factual probes to estimate effective knowledge capacity, moving parameter-count discussions from vague capability scores back to obscure factual storage and showing why small-model catch-up must separate reasoning ability from factual capacity.</description>
      <pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ikp-knowledge-capacity-paper-guide-en-20260429.html</guid>
      <language>en</language>
      <category>Science &amp; Tech Frontiers</category>
      <category>Model Architecture</category>
      <category>Retrieval &amp; Knowledge Systems</category>
    </item>
    <item>
      <title>DeepSeek V4 Explained: Engineering Decisions Around Agentic Workloads</title>
      <link>https://yage.ai/share/deepseek-v4-agentic-workload-en-20260429.html</link>
      <description>A systems-level explanation of DeepSeek V4 for agentic workloads: from 1M context, hybrid attention, OPD, Muon, and mHC to how an open-weight model uses engineering integration to handle long-horizon agent tasks.</description>
      <pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/deepseek-v4-agentic-workload-en-20260429.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>Model Architecture</category>
      <category>Inference &amp; Performance</category>
    </item>
    <item>
      <title>AI Did Not Arrive the Way Science Fiction Imagined, but the Consequences It Feared Have Already Begun</title>
      <link>https://yage.ai/share/scifi-ai-imagination-reality-en-20260429.html</link>
      <description>Real AI did not first become robots or superintelligence. It entered language interfaces, workflows, emotional relationships, and surveillance systems. Science fiction missed the entry point, but it anticipated the pressure on labor, governance, relationships, and power.</description>
      <pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/scifi-ai-imagination-reality-en-20260429.html</guid>
      <language>en</language>
      <category>AI Products &amp; Platforms</category>
      <category>Governance &amp; Compliance</category>
      <category>Community &amp; Cognition</category>
    </item>
    <item>
      <title>What Actually Compounds in AI Coding</title>
      <link>https://yage.ai/share/ai-coding-compound-interest-en-20260429.html</link>
      <description>AI coding's long-term value lies not in generating more code, but in turning information from each round of collaboration into reusable, verifiable, callable engineering assets for the next. The article distinguishes positive and negative compounding at the individual and team level, and explains why buying tools and prompt tricks are not organizational assets.</description>
      <pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-coding-compound-interest-en-20260429.html</guid>
      <language>en</language>
      <category>AI Coding</category>
      <category>Developer Tools</category>
      <category>Retrieval &amp; Knowledge Systems</category>
    </item>
    <item>
      <title>Why OpenClaw's Technical Burden Became a Distribution Asset</title>
      <link>https://yage.ai/share/openclaw-xiaolongxia-social-phenomenon-en-20260429.html</link>
      <description>OpenClaw did not spread simply because an agent can do work. Its rough setup process turned technical friction into visible effort, social scarcity, and a showable state of ownership.</description>
      <pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/openclaw-xiaolongxia-social-phenomenon-en-20260429.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>AI Products &amp; Platforms</category>
      <category>China Tech Ecosystem</category>
    </item>
    <item>
      <title>Making Creative Tools Agent-Native: From Photoshop Actions to Claude for Creative Work</title>
      <link>https://yage.ai/share/creative-ai-automation-survey-en-20260428.html</link>
      <description>Anthropic released Claude for Creative Work with 9 creative tool Connectors. This article traces three generations of creative tool agent-ification, proposing a judgment framework: programmable interface, connection protocol layer, and perception-evaluation closed loop. The real bottleneck isn't model capability — it's the feedback loop.</description>
      <pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/creative-ai-automation-survey-en-20260428.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>AI Products &amp; Platforms</category>
      <category>Developer Tools</category>
    </item>
    <item>
      <title>The Cognitive Edge Behind Manus and Cursor: Technical Bets and Their Validation</title>
      <link>https://yage.ai/share/manus-cursor-cognition-lead-en-20260428.html</link>
      <description>Behind the $2B Manus acquisition and $60B Cursor option are two teams whose understanding of agent architecture, self-trained models, and harness engineering leads the industry by at least one position. This article validates that claim through competitor comparisons and technical route analysis.</description>
      <pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/manus-cursor-cognition-lead-en-20260428.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>Industry &amp; Competition</category>
      <category>AI Coding</category>
    </item>
    <item>
      <title>Open-Source Model Inference Buying Guide: GLM-5.1, DeepSeek V4 Pro, Kimi K2.6 — API, Subscriptions, and Ollama Cloud Compared</title>
      <link>https://yage.ai/share/ollama-cloud-vs-api-vs-subscriptions-en-20260428.html</link>
      <description>Price, privacy, and throughput comparison for GLM-5.1, DeepSeek V4 Pro, and Kimi K2.6 across official APIs, vendor subscriptions, and Ollama Cloud. Light agents start at $18/month; heavy agents at 800M tokens/month can run on z.ai Max for $80 — 5-20x cheaper than pay-per-token.</description>
      <pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ollama-cloud-vs-api-vs-subscriptions-en-20260428.html</guid>
      <language>en</language>
      <category>AI Infrastructure</category>
      <category>Developer Tools</category>
    </item>
    <item>
      <title>Two "Firsts" in One Company: Manus, Meta, and an Unprecedented Block</title>
      <link>https://yage.ai/share/manus-meta-unwind-en-20260427.html</link>
      <description>On April 27, 2026, the NDRC blocked Meta's acquisition of Manus and ordered the deal unwound. This is the first case to publicly run all the way through the prohibit-and-unwind process under the Foreign Investment Security Review (effective 2021), and it's the only Chinese AI company that walked the path of outright acquisition by a global tech giant all the way to closing. Two "firsts" in the same company. The piece sets the case against the Cayman vs Singapore offshore-route comparison, argues this block incidentally removed the long-running "just a wrapper" label (the strongest legal tool only deploys against real substance), unpacks what the regulator is actually targeting (the transfer chain during redomicile, not the offshore-to-offshore acquisition itself), and offers four operational judgments for builders still on the road.</description>
      <pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/manus-meta-unwind-en-20260427.html</guid>
      <language>en</language>
      <category>Governance &amp; Compliance</category>
      <category>Macro &amp; Geopolitics</category>
      <category>China Tech Ecosystem</category>
    </item>
    <item>
      <title>TPU vs CUDA: The Attack and Defense After Cloud Next 2026</title>
      <link>https://yage.ai/share/tpu-vs-cuda-attack-defense-en-20260425.html</link>
      <description>At Google Cloud Next 2026, Google landed three interconnected moves: a TPU 8t/8i training-vs-inference split, TorchTPU bringing native PyTorch to TPUs, and an up-to-$40B + 5GW compute investment in Anthropic. This piece works through four questions: whether Google can replicate NVIDIA's moat (a layer-by-layer comparison across CUDA + frameworks + rack-scale + supply chain), where the lever actually is (PyTorch is the surface, vLLM is the real crack), who can really shake NVIDIA (the entire non-NVIDIA camp essentially rests on Anthropic, one lab), and why this round differs from a decade of failed TPU pushes. Ends with three concrete 6-12 month actions for builders.</description>
      <pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/tpu-vs-cuda-attack-defense-en-20260425.html</guid>
      <language>en</language>
      <category>Inference &amp; Performance</category>
      <category>Industry &amp; Competition</category>
      <category>AI Products &amp; Platforms</category>
    </item>
    <item>
      <title>Anthropic's Three Experiments Letting Claude Do Business: From a Mini-Fridge to a Marketplace</title>
      <link>https://yage.ai/share/anthropic-project-deal-agent-commerce-en-20260425.html</link>
      <description>Over 12 months Anthropic shipped three experiments letting Claude run business activity: Project Vend Phase 1 (a money-losing mini-fridge), Phase 2 (multi-agent setup that spawned the real Andon Market boutique store), and Project Deal (69 employees + 69 Claudes trading in Slack, where stronger models systematically extracted value from weaker ones and the losers never noticed). This piece tells the three stories, then places Project Deal's losers-don't-notice finding against academic literature and the existing agent commerce protocol stack, with concrete takeaways for agent product builders, marketplace operators, investors, and peer labs.</description>
      <pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/anthropic-project-deal-agent-commerce-en-20260425.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>Industry &amp; Competition</category>
      <category>Governance &amp; Compliance</category>
    </item>
    <item>
      <title>Anthropic Quietly Lets Claude Cowork Run Rival Models, and That's More Telling Than It Looks</title>
      <link>https://yage.ai/share/cowork-3p-models-moat-shift-en-20260425.html</link>
      <description>Anthropic quietly shipped third-party model support in Claude Cowork. Read together with March's move to block third-party clients from using Claude subscriptions, this is one strategy with two faces: client stickiness as the new moat, with subscription revenue and user behavior data both willingly sacrificed. Meanwhile AWS, Google, and Microsoft are placing three different control-plane bets — runtime+registry, tool governance, and identity. Three concrete scenarios at the end help you locate yourself on the map.</description>
      <pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/cowork-3p-models-moat-shift-en-20260425.html</guid>
      <language>en</language>
      <category>AI Products &amp; Platforms</category>
      <category>Industry &amp; Competition</category>
      <category>AI Agent</category>
    </item>
    <item>
      <title>Skills Are Born With a Suicide Gene</title>
      <link>https://yage.ai/share/skill-suicide-gene-en-20260424.html</link>
      <description>Anthropic Skills convert tacit usage knowledge into explicit, plain-text files. The same act that solves a long-standing pain point also erases the value chain that used to charge for that knowledge. Walking through Excel financial modeling, the article explains the self-dissolution, names the decoupling of value creation and value capture, and lays out four landing points for AI-native business models: relationships, the present moment, physical-world consequences, judgment and taste.</description>
      <pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/skill-suicide-gene-en-20260424.html</guid>
      <language>en</language>
      <category>Industry &amp; Competition</category>
      <category>AI Products &amp; Platforms</category>
    </item>
    <item>
      <title>GPT-5.5, Claude Opus 4.7, DeepSeek V4: Which Model for Which Task</title>
      <link>https://yage.ai/share/ai-model-task-dispatch-en-20260424.html</link>
      <description>Spring 2026 saw dense frontier model releases, with each vendor carrying different strengths, weaknesses, access paths, and pricing break-points. This piece walks through two real-world landmine scenarios and gives capability profiles, field gotchas, and a task-based dispatch matrix across GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and DeepSeek V4.</description>
      <pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-model-task-dispatch-en-20260424.html</guid>
      <language>en</language>
      <category>AI Products &amp; Platforms</category>
      <category>AI Coding</category>
      <category>Governance &amp; Compliance</category>
    </item>
    <item>
      <title>What Cat Wu's Claude Code Interview Reveals About the Future of Product Managers in the AI Era</title>
      <link>https://yage.ai/share/cat-wu-pm-ai-career-en-20260424.html</link>
      <description>Using Cat Wu's Claude Code interview as a starting point, this essay argues that AI changes the PM role by changing the cost structure of product work. As execution gets cheaper, the PM's center of gravity moves from front-loaded judgment to goal definition, loop design, and learning speed.</description>
      <pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/cat-wu-pm-ai-career-en-20260424.html</guid>
      <language>en</language>
      <category>AI Products &amp; Platforms</category>
      <category>AI Coding</category>
    </item>
    <item>
      <title>Principles and Mechanics of Sharing AI Skills Across a Team</title>
      <link>https://yage.ai/share/team-context-infrastructure-en-20260423.html</link>
      <description>Extending personal Context Infrastructure to a team runs into a conflict between individual perspective and collective accumulation. By reusing the stability criterion across a spatial dimension instead of a temporal one, a mechanism emerges that needs no central review.</description>
      <pubDate>Thu, 23 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/team-context-infrastructure-en-20260423.html</guid>
      <language>en</language>
      <category>AI Agent</category>
      <category>Retrieval &amp; Knowledge Systems</category>
    </item>
    <item>
      <title>Claude Design and Google DESIGN.md: Replacing Designers or Replacing Coders?</title>
      <link>https://yage.ai/share/google-stitch-design-md-en-20260423.html</link>
      <description>On small projects the designer and coder roles are quietly merging. The new wave of AI design tools points in one direction: after the merge, the coder who knows a bit of design ends up doing less for more. Figma is sketching a different answer, but has only finished half of it.</description>
      <pubDate>Thu, 23 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/google-stitch-design-md-en-20260423.html</guid>
      <language>en</language>
      <category>AI Products &amp; Platforms</category>
      <category>Developer Tools</category>
    </item>
    <item>
      <title>Monitoring WeChat Official Accounts: A Survey of the Main Approaches and One More Practical Path</title>
      <link>https://yage.ai/share/wechat-official-account-monitoring-en-20260422.html</link>
      <description>Once you follow a set of WeChat official accounts, how do you reliably know who posted, search their history, and automate on top of it? This article surveys the five categories the community has tried (web scraping, protocol simulation, UI automation, WeChat Reading API, local database) and argues only two survive over the long run: the WeChat Reading API and reading the local SQLite database. We open-sourced a CLI (wechat_db_parser) built on the latter that reduces the hardest ingestion layer to two commands.</description>
      <pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/wechat-official-account-monitoring-en-20260422.html</guid>
      <language>en</language>
      <category>Developer Tools</category>
      <category>China Tech Ecosystem</category>
    </item>
    <item>
      <title>What Is a Camera Sensor's "Process Node," Really: A Layered Guide for Photographers</title>
      <link>https://yage.ai/share/camera-sensor-process-layers-en-20260422.html</link>
      <description>A layered framework for reading camera-sensor spec sheets. It separates the light-capturing layer from the readout layer, explains what 28nm / 14nm / 90nm actually mean on each layer, and maps stacked, three-layer stacked, 2-Layer Transistor Pixel, and partial stacked to the specific problems and tradeoffs they target.</description>
      <pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/camera-sensor-process-layers-en-20260422.html</guid>
      <language>en</language>
      <category>Science &amp; Tech Frontiers</category>
    </item>
    <item>
      <title>When AI Learns to Forge Everything: How Image Generation Is Undermining Financial Security</title>
      <link>https://yage.ai/share/ai-image-financial-security-risks-en-20260422.html</link>
      <description>AI image and video generation is systematically breaking the security assumptions that financial institutions have relied on for decades. From deepfake liveness bypass and synthetic ID documents to AI-forged checks and voice-cloned wire transfers, this article maps the attack surface, quantifies losses ($3.3B synthetic identity exposure, $25.6M single deepfake heist), and evaluates the industry's multi-layered defense response.</description>
      <pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://yage.ai/share/ai-image-financial-security-risks-en-20260422.html</guid>
      <language>en</language>
      <category>Security &amp; Supply Chain</category>
    </item>
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