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    <title>Klay - Field Notes</title>
    <link>https://klaylearn.com/blog</link>
    <description>How the curriculum gets built: how we pick sources, what we throw away, and what the sequencing actually costs.</description>
    <language>en-in</language>
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    <item>
      <title>Cloudflare wrapped Agents Week into one launch index for builders</title>
      <link>https://klaylearn.com/blog/cloudflare-wrapped-agents-week-into-one-launch-index</link>
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      <pubDate>Tue, 18 Aug 2026 00:00:00 GMT</pubDate>
      <description>Cloudflare published a roundup of Agents Week, making its agent related launches easier to evaluate as one platform story rather than as separate</description>
      <category>Agents</category>
      <category>Cloudflare Workers</category>
      <category>Developer Platform</category>
      <category>Zero Trust</category>
    </item>
    <item>
      <title>San Francisco engineering notes for August 18: WhatsApp scam ML, LLM trace leaks, and defensive cyber AI</title>
      <link>https://klaylearn.com/blog/san-francisco-engineering-notes-for-august-18</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/san-francisco-engineering-notes-for-august-18</guid>
      <pubDate>Tue, 18 Aug 2026 00:00:00 GMT</pubDate>
      <description>Security, AI tooling, and data workflow updates from Bay Area teams and nearby engineering voices.</description>
      <category>security</category>
      <category>ai</category>
      <category>developer-tools</category>
      <category>san-francisco</category>
      <category>infrastructure</category>
    </item>
    <item>
      <title>Mojo 1.0 Ships: Python's Fast Sibling Is Ready for Production</title>
      <link>https://klaylearn.com/blog/mojo-1-programming-language</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/mojo-1-programming-language</guid>
      <pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate>
      <description>Mojo 1.0 is here with full Python superset compatibility, SIMD support, and MLIR based compilation. Here is what changed and why it matters for AI engineers.</description>
      <category>Mojo</category>
      <category>Python</category>
      <category>programming</category>
      <category>AI infrastructure</category>
      <category>compiler</category>
    </item>
    <item>
      <title>Researchers Extract Hidden Reasoning from Proprietary LLM APIs</title>
      <link>https://klaylearn.com/blog/stealing-llm-reasoning-traces</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/stealing-llm-reasoning-traces</guid>
      <pubDate>Tue, 11 Aug 2026 00:00:00 GMT</pubDate>
      <description>A new paper shows how to steal chain of thought traces from proprietary models through their public APIs. The technique works on GPT 5.5, Claude, and Gemini.</description>
      <category>LLM</category>
      <category>security</category>
      <category>research</category>
      <category>API</category>
      <category>reasoning</category>
      <category>privacy</category>
    </item>
    <item>
      <title>NVIDIA's Nemotron 3.5 and the Switchyard Strategy</title>
      <link>https://klaylearn.com/blog/nemotron-3-5-switchyard</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/nemotron-3-5-switchyard</guid>
      <pubDate>Mon, 10 Aug 2026 00:00:00 GMT</pubDate>
      <description>NVIDIA released Nemotron 3.5 with NeMo Switchyard, a routing system that picks the right model for each request. This is where inference serving is heading.</description>
      <category>NVIDIA</category>
      <category>Nemotron</category>
      <category>AI infrastructure</category>
      <category>routing</category>
      <category>inference</category>
    </item>
    <item>
      <title>Compression Is Prediction: The Deepest Idea in AI Nobody Talks About</title>
      <link>https://klaylearn.com/blog/compression-is-prediction-theory</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/compression-is-prediction-theory</guid>
      <pubDate>Sun, 09 Aug 2026 00:00:00 GMT</pubDate>
      <description>A viral post from ngrok explains why compression and prediction are the same thing, and why that explains everything about how LLMs work.</description>
      <category>information theory</category>
      <category>compression</category>
      <category>LLM</category>
      <category>theory</category>
      <category>prediction</category>
    </item>
    <item>
      <title>Grok Bot Arrives: xAI's First Autonomous Agent</title>
      <link>https://klaylearn.com/blog/grok-bot-xai-release</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/grok-bot-xai-release</guid>
      <pubDate>Sat, 08 Aug 2026 00:00:00 GMT</pubDate>
      <description>xAI released Grok Bot, an autonomous agent that can browse the web, run code, and complete multi step tasks. It is free and available to everyone.</description>
      <category>xAI</category>
      <category>Grok</category>
      <category>AI agents</category>
      <category>Musk</category>
      <category>automation</category>
    </item>
    <item>
      <title>llama.app: Running LLMs Locally Just Became a One Click Install</title>
      <link>https://klaylearn.com/blog/llama-cpp-desktop-app</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/llama-cpp-desktop-app</guid>
      <pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate>
      <description>The llama.cpp project shipped llama.app, a desktop application that runs LLMs locally with one click. No terminal, no Python, no Docker.</description>
      <category>llama.cpp</category>
      <category>local LLM</category>
      <category>open source</category>
      <category>inference</category>
      <category>desktop</category>
    </item>
    <item>
      <title>WorldClaw: Generating 3D Worlds from Text Prompts</title>
      <link>https://klaylearn.com/blog/worldclaw-3d-generation</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/worldclaw-3d-generation</guid>
      <pubDate>Thu, 06 Aug 2026 00:00:00 GMT</pubDate>
      <description>Tencent's Hunyuan3D WorldClaw generates explorable 3D worlds from text prompts. Walk through a castle, a forest, or a sci fi city, all from a sentence.</description>
      <category>3D generation</category>
      <category>Tencent</category>
      <category>generative AI</category>
      <category>game development</category>
    </item>
    <item>
      <title>Discovered Materials: AI Agents Hunt for New Compounds</title>
      <link>https://klaylearn.com/blog/ai-materials-discovery-startup</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/ai-materials-discovery-startup</guid>
      <pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate>
      <description>A Y Combinator startup is using AI agents to discover new materials. Their first find: a compound that could replace lithium in next generation batteries.</description>
      <category>AI startups</category>
      <category>materials science</category>
      <category>chemistry</category>
      <category>Y Combinator</category>
      <category>agents</category>
    </item>
    <item>
      <title>The Human Is the Loop: Why AI Systems Still Need People</title>
      <link>https://klaylearn.com/blog/human-in-the-loop-framework</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/human-in-the-loop-framework</guid>
      <pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate>
      <description>A popular essay argues that the most reliable AI systems keep humans in the loop at exactly the right points. Remove them and the system degrades in surprising ways.</description>
      <category>AI safety</category>
      <category>human in the loop</category>
      <category>automation</category>
      <category>system design</category>
    </item>
    <item>
      <title>What Sort of Maths Are LLMs Actually Good At</title>
      <link>https://klaylearn.com/blog/what-maths-are-llms-good-at</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/what-maths-are-llms-good-at</guid>
      <pubDate>Mon, 03 Aug 2026 00:00:00 GMT</pubDate>
      <description>Timothy Gowers, a Fields Medalist, published a detailed analysis of what mathematical reasoning LLMs can and cannot do. The results are more nuanced than benchmarks suggest.</description>
      <category>LLM</category>
      <category>mathematics</category>
      <category>benchmarks</category>
      <category>research</category>
      <category>Timothy Gowers</category>
    </item>
    <item>
      <title>OpenAI's Head of Ethics Leaves After Less Than a Year</title>
      <link>https://klaylearn.com/blog/openai-ethics-head-departure</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/openai-ethics-head-departure</guid>
      <pubDate>Sun, 02 Aug 2026 00:00:00 GMT</pubDate>
      <description>OpenAI's head of ethics resigned this week after joining less than a year ago. The departure raises questions about the company's safety commitments.</description>
      <category>OpenAI</category>
      <category>AI ethics</category>
      <category>governance</category>
      <category>industry</category>
    </item>
    <item>
      <title>The Supernode: How NVIDIA's NVLink Is Changing Distributed Training</title>
      <link>https://klaylearn.com/blog/nvlink-supernode-distributed-training</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/nvlink-supernode-distributed-training</guid>
      <pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
      <description>NVIDIA's latest NVLink connects 72 GPUs into a single logical GPU. Distributed training no longer means distributed programming.</description>
      <category>NVIDIA</category>
      <category>NVLink</category>
      <category>distributed training</category>
      <category>hardware</category>
      <category>GPU</category>
    </item>
    <item>
      <title>The Synthetic Data Pipeline: How Frontier Models Are Trained Now</title>
      <link>https://klaylearn.com/blog/synthetic-training-data-pipeline</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/synthetic-training-data-pipeline</guid>
      <pubDate>Fri, 31 Jul 2026 00:00:00 GMT</pubDate>
      <description>Every major AI lab now uses synthetic data to train their models. Here is how the pipeline works, from seed data through verification to curriculum design.</description>
      <category>synthetic data</category>
      <category>training</category>
      <category>LLM</category>
      <category>data pipeline</category>
      <category>curriculum</category>
    </item>
    <item>
      <title>ICML 2026: Three Papers That Changed How We Think About Learning</title>
      <link>https://klaylearn.com/blog/icml-2026-best-papers</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/icml-2026-best-papers</guid>
      <pubDate>Thu, 30 Jul 2026 00:00:00 GMT</pubDate>
      <description>ICML 2026's best paper awards went to work on scaling laws for reasoning, implicit regularisation, and data attribution. Here is what each paper found.</description>
      <category>ICML</category>
      <category>research</category>
      <category>machine learning</category>
      <category>papers</category>
      <category>conference</category>
    </item>
    <item>
      <title>AI Coding Assistants Compared: Claude Code, Copilot, and Cursor in 2026</title>
      <link>https://klaylearn.com/blog/ai-coding-assistant-comparison</link>
      <guid isPermaLink="true">https://klaylearn.com/blog/ai-coding-assistant-comparison</guid>
      <pubDate>Wed, 29 Jul 2026 00:00:00 GMT</pubDate>
      <description>We tested Claude Code, GitHub Copilot, and Cursor on the same set of real world programming tasks. The results are close, but the workflows are completely different.</description>
      <category>coding assistants</category>
      <category>Claude Code</category>
      <category>Copilot</category>
      <category>Cursor</category>
      <category>developer tools</category>
      <category>comparison</category>
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