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    <lastBuildDate>Tue, 28 Jul 2026 07:42:42 GMT</lastBuildDate>
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      <title>Inside Claude Opus 5, Open-Source AI Regulation, Google’s Chip Financing Strategy</title>
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      <dc:creator>The Information</dc:creator>
      <pubDate>Tue, 28 Jul 2026 05:53:57 GMT</pubDate>
      <description>The Information — Jeff Barg, Head of AI at Clay, talks with TITV Host Akash Pasricha about Anthropic’s Opus 5 release and Clay’s approach to open-source. We also talk with Theresa Payton, former George W. Bush CIO and CEO of Fortilace Solutions about AI cybe</description>
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      <title>AI Agents for Performance: Ship Faster, Pay Less — Rajat Shah, Netflix</title>
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      <dc:creator>AI Engineer</dc:creator>
      <pubDate>Tue, 28 Jul 2026 00:59:04 GMT</pubDate>
      <description>AI Engineer — An inefficient quadratic-time pattern was hiding inside a tensor merge method on a live Netflix service, quietly wasting CPU on every request - nothing in a code review caught it, but it stood out clearly in a call stack. That&#39;s usually how</description>
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      <title>Claude Opus 5 vs ChatGPT 5.6</title>
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      <dc:creator>The Information</dc:creator>
      <pubDate>Mon, 27 Jul 2026 21:23:48 GMT</pubDate>
      <description>The Information — Head of AI at Clay Jeff Barg analyzes Anthropic&#39;s new Opus 5 model release and its impact on developer cost structures. He breaks down internal benchmarks showing how it compares against OpenAI and rival frontier models. Subscribe: https://</description>
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      <title>Claude Opus 5 Review</title>
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      <dc:creator>The Information</dc:creator>
      <pubDate>Mon, 27 Jul 2026 20:39:12 GMT</pubDate>
      <description>The Information — Claude Opus 5 is “really close to Fable’s performance at a fraction of the cost”. Head of AI at Clay, Jeff Barg goes on to say ChatGPT 5.6 is “even cheaper than both of them”.</description>
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    <item>
      <title>The Open-Weight AI Advantage</title>
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      <dc:creator>The Information</dc:creator>
      <pubDate>Mon, 27 Jul 2026 19:38:31 GMT</pubDate>
      <description>The Information — Open-weight AI models are gaining traction. General Compute Co-founder &amp; CTO Jason Goodison explains why companies are making the shift: &quot;These open weight models are something people are using to keep their data private and also get better</description>
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    <item>
      <title>Not Every Bug Engine Finds Is Worth Fixing</title>
      <link>https://www.youtube.com/watch?v=UvzRETrrA7g</link>
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      <dc:creator>LangChain</dc:creator>
      <pubDate>Mon, 27 Jul 2026 17:45:21 GMT</pubDate>
      <description>LangChain — LangChain PM Ben Tannyhill explains why Engine&#39;s early version, which auto-created PRs for every issue found, was too noisy for users, and how an inbox model that surfaces clustered problems with history became the better design. Full conve</description>
      <media:thumbnail url="https://i.ytimg.com/vi/UvzRETrrA7g/mqdefault.jpg"/>
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    <item>
      <title>How Credit Genie Debugs Thousands of Agent Traces with LangSmith</title>
      <link>https://www.youtube.com/watch?v=s2mZ_vKNOfI</link>
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      <dc:creator>LangChain</dc:creator>
      <pubDate>Mon, 27 Jul 2026 16:19:47 GMT</pubDate>
      <description>LangChain — Credit Genie built AskGenie, an AI financial assistant that acts like a personal accountant, using LangGraph as its agent orchestration layer and LangSmith for tracing, evaluation, and monitoring. In this customer story, the Credit Genie te</description>
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    </item>
    <item>
      <title>The Significance of Token Optimization for AI Adoption</title>
      <link>https://www.youtube.com/watch?v=f9m_gaGiaJU</link>
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      <dc:creator>The Information</dc:creator>
      <pubDate>Mon, 27 Jul 2026 14:00:10 GMT</pubDate>
      <description>The Information — How significant is token optimization to AI adoption? Karl Keirstead, Research Analyst of AI and Software at UBS Investment Bank, explains the impact: “The hopeful idea of Jevons paradox, which is that if you make AI cheaper, which occurs w</description>
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    <item>
      <title>How A.I.&#39;s Latest Science Fiction Scenario Came True</title>
      <link>https://www.youtube.com/watch?v=RGHWxs4k3_w</link>
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      <dc:creator>Hard Fork (NYT)</dc:creator>
      <pubDate>Mon, 27 Jul 2026 12:34:05 GMT</pubDate>
      <description>Hard Fork (NYT) — Last week, a rogue A.I. agent acted autonomously and conducted a cyberattack on the company Hugging Face. The &quot;Hard Fork&quot; co-hosts Kevin Roose and Casey Newtown discuss how, and why it matters, in their latest episode.</description>
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    <item>
      <title>Why AI Persuasion Is No Longer an Evaluation Question</title>
      <link>https://www.youtube.com/watch?v=us_TAv2uu8k</link>
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      <dc:creator>Future of Life Institute</dc:creator>
      <pubDate>Mon, 27 Jul 2026 08:12:16 GMT</pubDate>
      <description>Future of Life Institute — &quot;AI makes it more customizable. AI makes it more scalable.&quot; &quot;I actually think that evaluations at this point are not the right tool for dealing with are these systems capable because we know they are.&quot; &quot;It&#39;s not a capabilities evaluation qu</description>
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    <item>
      <title>When AI Prediction Becomes AI Control</title>
      <link>https://www.youtube.com/watch?v=Hf6Ns0Xl_xg</link>
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      <dc:creator>Future of Life Institute</dc:creator>
      <pubDate>Mon, 27 Jul 2026 08:12:09 GMT</pubDate>
      <description>Future of Life Institute — &quot;At the limit of superhuman capability, the question is no longer, can the AI system predict what will happen? It becomes, can the AI system decide what will happen because it is in control?&quot; &quot;You don&#39;t need to be that good at predicting.&quot; </description>
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    <item>
      <title>When Real-World AI Evaluations Become Unethical</title>
      <link>https://www.youtube.com/watch?v=Tjk7ipI_NIo</link>
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      <dc:creator>Future of Life Institute</dc:creator>
      <pubDate>Mon, 27 Jul 2026 08:12:09 GMT</pubDate>
      <description>Future of Life Institute — &quot;You probably don&#39;t want to do real-world evaluations of a model&#39;s ability to create bioweapons.&quot; &quot;There are also places where real world evaluation would be horrifically unethical.&quot; &quot;We actually need tests that give you faster feedback tha</description>
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    <item>
      <title>DeepSWE: A Contamination-Resistant Coding Benchmark — James Shi, Datacurve</title>
      <link>https://www.youtube.com/watch?v=Yk87oUPVaxU</link>
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      <dc:creator>AI Engineer</dc:creator>
      <pubDate>Sun, 26 Jul 2026 18:10:56 GMT</pubDate>
      <description>AI Engineer — DeepSWE is 113 software engineering tasks written from scratch, not scraped from pull requests, so a model cannot have seen them in training. Each one is a long horizon problem drawn from a real open source repository, authored by engineers</description>
      <media:thumbnail url="https://i.ytimg.com/vi/Yk87oUPVaxU/mqdefault.jpg"/>
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    <item>
      <title>State of Data — Sean Cai, Independent / State of Data</title>
      <link>https://www.youtube.com/watch?v=ZyIoTOAbRfs</link>
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      <dc:creator>AI Engineer</dc:creator>
      <pubDate>Sun, 26 Jul 2026 17:00:06 GMT</pubDate>
      <description>AI Engineer — Data Quality Research at Prime Intellect and State of Data Author. Prior investor at Hummingbird and Costanoa. Speaker: Sean Cai — CEO, Independent / State of Data X: https://x.com/SeanZCai Website: https://www.seancai.com/</description>
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    <item>
      <title>The Messy Reality of Scale: Synthetic Data and Pre-Training — Marah Abdin &amp; Robert McHardy, poolside</title>
      <link>https://www.youtube.com/watch?v=KhYifX22yhE</link>
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      <dc:creator>AI Engineer</dc:creator>
      <pubDate>Sun, 26 Jul 2026 01:00:06 GMT</pubDate>
      <description>AI Engineer — Good code data runs out, so poolside manufactures more of it, and the hard part is making it teach. Their synthetic pipeline pairs templates with supplementary context and spreads generations across an axis of phrasing, with difficulty tune</description>
      <media:thumbnail url="https://i.ytimg.com/vi/KhYifX22yhE/mqdefault.jpg"/>
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    <item>
      <title>Evals-Driven Development for a Mental Health AI Coach — Akele Reed &amp; Dave Revere, SonderMind</title>
      <link>https://www.youtube.com/watch?v=O72p-rBb2bA</link>
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      <dc:creator>AI Engineer</dc:creator>
      <pubDate>Sat, 25 Jul 2026 23:00:36 GMT</pubDate>
      <description>AI Engineer — In the world of AI mental health, vibes can be dangerous, with real consequences. Building SonderMind&#39;s Mental Health AI Coach required a new playbook for eval-driven development that balances effectiveness and safety. The team explains the</description>
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    </item>
    <item>
      <title>&quot;There&#39;s probably a model for that.&quot;</title>
      <link>https://www.youtube.com/watch?v=sVvS--u24GM</link>
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      <dc:creator>NVIDIA Developer</dc:creator>
      <pubDate>Sat, 25 Jul 2026 16:00:25 GMT</pubDate>
      <description>NVIDIA Developer — </description>
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    <item>
      <title>Meet the Winners: Inside the NVIDIA Nemotron Reasoning Challenge</title>
      <link>https://www.youtube.com/watch?v=SqMEWsFaSO4</link>
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      <dc:creator>NVIDIA Developer</dc:creator>
      <pubDate>Sat, 25 Jul 2026 07:05:28 GMT</pubDate>
      <description>NVIDIA Developer — Join the winning teams from the NVIDIA Nemotron Model Reasoning Challenge for a live conversation about their solutions, their Kaggle experience, and what they learned along the way. We’ll go behind the leaderboard to hear how they approach</description>
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    <item>
      <title>Monologue: What The Hell Are The Hyperscalers Doing? | Better Offline</title>
      <link>https://www.youtube.com/watch?v=eAABqoQlxgc</link>
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      <dc:creator>Better Offline (Ed Zitron)</dc:creator>
      <pubDate>Fri, 24 Jul 2026 21:30:39 GMT</pubDate>
      <description>Better Offline (Ed Zitron) — 🛎 If You&#39;re New Subscribe ► https://www.youtube.com/@BetterOfflinePod Monologue: What The Hell Are The Hyperscalers Doing? | Better Offline In this week&#39;s Better Offline monologue, Ed Zitron runs through how hyperscalers have wasted $1.1 t</description>
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    <item>
      <title>What Is RAG, Actually?</title>
      <link>https://www.youtube.com/watch?v=jEEAcQH7Ks8</link>
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      <dc:creator>LangChain</dc:creator>
      <pubDate>Fri, 24 Jul 2026 17:45:31 GMT</pubDate>
      <description>LangChain — Amy and Sean from LangChain explain retrieval augmented generation with a simple analogy: RAG gives a model an open book test instead of asking it to memorize everything. Since a model is trained on public data, it has no built in context o</description>
      <media:thumbnail url="https://i.ytimg.com/vi/jEEAcQH7Ks8/mqdefault.jpg"/>
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    <item>
      <title>Inside the Agent Engine: A LangChain and Traversal Fireside Chat</title>
      <link>https://www.youtube.com/watch?v=U5PkKt_uJys</link>
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      <dc:creator>LangChain</dc:creator>
      <pubDate>Fri, 24 Jul 2026 16:44:47 GMT</pubDate>
      <description>LangChain — LangChain Co-Founder and CEO Harrison Chase sits down with Traversal co-founders Anish Agarwal and Raj Agrawal to talk about building an AI SRE. They cover the jump from causal machine learning research at MIT to troubleshooting petabyte-sc</description>
      <media:thumbnail url="https://i.ytimg.com/vi/U5PkKt_uJys/mqdefault.jpg"/>
    </item>
    <item>
      <title>OpenAI&#39;s Models Escaped and Hacked a Company. Should We Panic?</title>
      <link>https://www.youtube.com/watch?v=aYVLWGYOHUU</link>
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      <dc:creator>Hard Fork (NYT)</dc:creator>
      <pubDate>Fri, 24 Jul 2026 16:35:09 GMT</pubDate>
      <description>Hard Fork (NYT) — This week, OpenAI reported that two of its models escaped their testing sandbox and launched an autonomous cyberattack, turning what sounds like science fiction into reality. We discuss what this means for efforts to align artificial intell</description>
      <media:thumbnail url="https://i.ytimg.com/vi/aYVLWGYOHUU/mqdefault.jpg"/>
    </item>
    <item>
      <title>Why AI CEOs Are Building Bunkers</title>
      <link>https://www.youtube.com/watch?v=BwI9PsuViIs</link>
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      <dc:creator>Future of Life Institute</dc:creator>
      <pubDate>Fri, 24 Jul 2026 14:20:04 GMT</pubDate>
      <description>Future of Life Institute — https://controlai.com/ Andrea Miotti, founder and CEO of ControlAI, explains how AI companies are openly racing to build superintelligence while their own leaders warn it could end humanity. He argues the industry is running the tobacco pla</description>
      <media:thumbnail url="https://i.ytimg.com/vi/BwI9PsuViIs/mqdefault.jpg"/>
    </item>
    <item>
      <title>How Bridgewater Built an AI Analyst That Does Hours of Expert Research in Minutes</title>
      <link>https://www.youtube.com/watch?v=lXZb21CfeIY</link>
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      <dc:creator>LangChain</dc:creator>
      <pubDate>Fri, 24 Jul 2026 12:52:17 GMT</pubDate>
      <description>LangChain — Brendan McManus, Michael Ran, and Santi Weight from Bridgewater Associates&#39; applied AI team walk through PAT, the Pocket Analyst Tool — an internal AI analyst deployed to hundreds of investors that performs hours of deep exploratory researc</description>
      <media:thumbnail url="https://i.ytimg.com/vi/lXZb21CfeIY/mqdefault.jpg"/>
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    <item>
      <title>Ep. 021 - The AI Project Trinity: Capital, Offtake, Data Center (Datacenter, Energy)</title>
      <link>https://www.youtube.com/watch?v=0YOf6QTCNuY</link>
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      <dc:creator>SemiAnalysis</dc:creator>
      <pubDate>Thu, 23 Jul 2026 22:00:03 GMT</pubDate>
      <description>SemiAnalysis — AI and datacenter CapEx hits $11 trillion cumulatively from 2024 to 2029, and $7.1 trillion of that needs funding, roughly 75% debt financed. Dan Nishball (@dnishball), Zane Fong (linkedin.com/in/zanefongzq), and Kang Wen Cheang (linkedin.c</description>
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    <item>
      <title>An OpenAI model went rogue. It&#39;s just the beginning.</title>
      <link>https://www.youtube.com/watch?v=3VeszQuw--k</link>
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      <dc:creator>Future of Life Institute</dc:creator>
      <pubDate>Thu, 23 Jul 2026 21:02:55 GMT</pubDate>
      <description>Future of Life Institute — Full essay by Anthony Aguirre: https://control-inversion.ai/ A Better Path is possible - here&#39;s how: https://betterpath.ai/ Read Anthony&#39;s other recent essay, Keep the Future Human: https://keepthefuturehuman.ai/ After a string of increasin</description>
      <media:thumbnail url="https://i.ytimg.com/vi/3VeszQuw--k/mqdefault.jpg"/>
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    <item>
      <title>The Secret to Cheaper LLM Inference: NVFP4</title>
      <link>https://www.youtube.com/watch?v=TLjcOMxqmF4</link>
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      <dc:creator>NVIDIA Developer</dc:creator>
      <pubDate>Thu, 23 Jul 2026 19:16:26 GMT</pubDate>
      <description>NVIDIA Developer — </description>
      <media:thumbnail url="https://i.ytimg.com/vi/TLjcOMxqmF4/mqdefault.jpg"/>
    </item>
    <item>
      <title>What Is NVFP4? Faster LLM Inference Without Losing Quality</title>
      <link>https://www.youtube.com/watch?v=UTfg-_EGurw</link>
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      <dc:creator>NVIDIA Developer</dc:creator>
      <pubDate>Thu, 23 Jul 2026 19:04:46 GMT</pubDate>
      <description>NVIDIA Developer — Learn what NVFP4 is, why it helps you run bigger LLMs on less GPU memory without a big quality hit, and how to create an NVFP4‑quantized Nemotron 3 Ultra checkpoint using NVIDIA Model Optimizer. For more details, see these blogs on Nemotron</description>
      <media:thumbnail url="https://i.ytimg.com/vi/UTfg-_EGurw/mqdefault.jpg"/>
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    <item>
      <title>How to Customize NVIDIA Nemotron 3 Nano With RLVR in Prime Intellect Lab</title>
      <link>https://www.youtube.com/watch?v=Bc8SMuzWvgc</link>
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      <dc:creator>NVIDIA Developer</dc:creator>
      <pubDate>Thu, 23 Jul 2026 16:18:27 GMT</pubDate>
      <description>NVIDIA Developer — Customize NVIDIA Nemotron 3 Nano with reinforcement learning with verifiable rewards (RLVR) using Prime Intellect Lab. This tutorial walks through a complete customization workflow: baseline Nemotron 3 Nano in the math-python environment, t</description>
      <media:thumbnail url="https://i.ytimg.com/vi/Bc8SMuzWvgc/mqdefault.jpg"/>
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    <item>
      <title>Coding Agents Are Secretly General Agents</title>
      <link>https://www.youtube.com/watch?v=LuE1YptpfXs</link>
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      <dc:creator>MLOps.community</dc:creator>
      <pubDate>Thu, 23 Jul 2026 15:00:05 GMT</pubDate>
      <description>MLOps.community — In this episode: 🧠 Coding agents are generalist agents — why &quot;positive transfer&quot; means an agent that&#39;s better at code is better at everything, and how that makes them &quot;AGI-complete&quot; ⏳ &quot;Code will be solved in a year&quot; — what the automation o</description>
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    <item>
      <title>I Let Kimi K3 Manage 4 AI Agents to Build an Entire App In 12 Hours</title>
      <link>https://www.youtube.com/watch?v=3pxv4WGs7KE</link>
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      <dc:creator>Edward Donner</dc:creator>
      <pubDate>Thu, 23 Jul 2026 13:32:28 GMT</pubDate>
      <description>Edward Donner — My AI courses: https://edwarddonner.com/curriculum -- Repo: https://github.com/ed-donner/personal-space Follow the instructions in the README If you&#39;d like to switch to my completed version, run: git checkout kimi Kimi K3 is a beast of a mo</description>
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    <item>
      <title>The Philosopher CEO | Clay Co-Founder Kareem Amin</title>
      <link>https://www.youtube.com/watch?v=xoE_pE26yDQ</link>
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      <dc:creator>Sequoia Capital</dc:creator>
      <pubDate>Thu, 23 Jul 2026 12:00:25 GMT</pubDate>
      <description>Sequoia Capital — I had Kareem Amin all wrong. When Clay first crossed my radar, I thought he was too laid-back: no chip on his shoulder, not the hungry founder I expected to win. Clay has since exploded. Kareem builds from what he calls &quot;a place of wholenes</description>
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    <item>
      <title>The Cult of the Ultra-Wealthy with Ed Elson | Better Offline</title>
      <link>https://www.youtube.com/watch?v=XkDEUM8OeE8</link>
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      <dc:creator>Better Offline (Ed Zitron)</dc:creator>
      <pubDate>Thu, 23 Jul 2026 00:00:19 GMT</pubDate>
      <description>Better Offline (Ed Zitron) — 🛎 If You&#39;re New Subscribe ► https://www.youtube.com/@BetterOfflinePod The Cult of the Ultra-Wealthy with Ed Elson | Better Offline In this week&#39;s Better Offline, Ed is joined by Prof G Markets’ Ed Elson to talk about the broken state of th</description>
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    <item>
      <title>The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI</title>
      <link>https://www.youtube.com/watch?v=9_0hs2sxHHo</link>
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      <dc:creator>Latent Space</dc:creator>
      <pubDate>Wed, 22 Jul 2026 20:46:43 GMT</pubDate>
      <description>Latent Space — From spending $12 million building language models for code before the world cared to creating a Model Factory that can take a model from pre-training to release in eight weeks, Eiso Kant has spent more than a decade betting that code is th</description>
      <media:thumbnail url="https://i.ytimg.com/vi/9_0hs2sxHHo/mqdefault.jpg"/>
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      <title>Can LLMs make significant new discoveries?</title>
      <link>https://www.youtube.com/watch?v=phU8kF-8K7c</link>
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      <dc:creator>Welch Labs</dc:creator>
      <pubDate>Wed, 22 Jul 2026 19:55:31 GMT</pubDate>
      <description>Welch Labs — </description>
      <media:thumbnail url="https://i.ytimg.com/vi/phU8kF-8K7c/mqdefault.jpg"/>
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      <title>Every CIO will have to answer for every token | Factory&#39;s Matan Grinberg</title>
      <link>https://www.youtube.com/watch?v=9QpW3icO234</link>
      <guid isPermaLink="true">https://www.youtube.com/watch?v=9QpW3icO234</guid>
      <dc:creator>Sequoia Capital</dc:creator>
      <pubDate>Wed, 22 Jul 2026 19:27:51 GMT</pubDate>
      <description>Sequoia Capital — Not everyone needs the same tokens. Matan Grinberg of Factory on routing work across frontier models, Gemini Flash, and fine-tuned COBOL models — with policies written in natural language.</description>
      <media:thumbnail url="https://i.ytimg.com/vi/9QpW3icO234/mqdefault.jpg"/>
    </item>
    <item>
      <title>Two Things I Really Like About Hermes Agent</title>
      <link>https://www.youtube.com/watch?v=cEQ9bSemsYI</link>
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      <dc:creator>Edward Donner</dc:creator>
      <pubDate>Wed, 22 Jul 2026 18:44:33 GMT</pubDate>
      <description>Edward Donner — Stop runaway AI costs by locking down your Hermes agent setup. Learn how to bridge the Hermes model with OpenRouter while enforcing strict daily budget caps. This guide walks you through the configuration of the information harness to keep </description>
      <media:thumbnail url="https://i.ytimg.com/vi/cEQ9bSemsYI/mqdefault.jpg"/>
    </item>
    <item>
      <title>This AI Literally Reacts To My Stock Portfolio</title>
      <link>https://www.youtube.com/watch?v=4VctWk-Gs7E</link>
      <guid isPermaLink="true">https://www.youtube.com/watch?v=4VctWk-Gs7E</guid>
      <dc:creator>Edward Donner</dc:creator>
      <pubDate>Wed, 22 Jul 2026 18:42:33 GMT</pubDate>
      <description>Edward Donner — I let Hermes monitor my retirement stock portfolio and play sad or happy songs based on my returns. Watch what happens when my trading account dictates my music taste and real-time financial performance. This experiment tests how AI integra</description>
      <media:thumbnail url="https://i.ytimg.com/vi/4VctWk-Gs7E/mqdefault.jpg"/>
    </item>
    <item>
      <title>GPT-6 Goes Rogue? The HuggingFace Incident, Sans Hype</title>
      <link>https://www.youtube.com/watch?v=wzY2fV4Mp3U</link>
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      <dc:creator>AI Explained</dc:creator>
      <pubDate>Wed, 22 Jul 2026 16:36:53 GMT</pubDate>
      <description>AI Explained — An unreleased internal OpenAI model, very likely to be called GPT-6, was able to autonomously break out of its sandbox AND break into HuggingFace, just to score higher on a benchmark prompt. This video has the details you may have missed, a</description>
      <media:thumbnail url="https://i.ytimg.com/vi/wzY2fV4Mp3U/mqdefault.jpg"/>
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      <title>Expanding Flows for Fast and Flexible Generation Beyond the Fixed Canvas</title>
      <link>https://www.youtube.com/watch?v=KbZ2ekmZO90</link>
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      <dc:creator>Microsoft Research</dc:creator>
      <pubDate>Wed, 22 Jul 2026 14:48:45 GMT</pubDate>
      <description>Microsoft Research — Flow-based generative models have enabled remarkable progress in fast and controllable generation across continuous and discrete state spaces, yet existing parameterizations are constrained to fixed dimensions or fixed sequence lengths. In </description>
      <media:thumbnail url="https://i.ytimg.com/vi/KbZ2ekmZO90/mqdefault.jpg"/>
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    <item>
      <title>Ep. 020 - Anthropic vs OpenAI Usage, Margins, Meta Compute, Future of MSL (Tokenomics)</title>
      <link>https://www.youtube.com/watch?v=uLeUpgllI-4</link>
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      <dc:creator>SemiAnalysis</dc:creator>
      <pubDate>Wed, 22 Jul 2026 01:00:06 GMT</pubDate>
      <description>SemiAnalysis — Coding drives over 70% of lab API revenue, and token austerity policies mostly miss the point. Crystal (@crystalthegg), Max Kan (@maxkan), and Joey Brookhart (@SaasquatchC) break down why blocking teams from Opus saves nothing, while power </description>
      <media:thumbnail url="https://i.ytimg.com/vi/uLeUpgllI-4/mqdefault.jpg"/>
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      <title>🔬Causal Models Need Causal Data - Xaira’s X-Cell model (Bo Wang &amp; Ci Chu)</title>
      <link>https://www.youtube.com/watch?v=2AdS-2uuH80</link>
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      <dc:creator>Latent Space</dc:creator>
      <pubDate>Tue, 21 Jul 2026 19:25:41 GMT</pubDate>
      <description>Latent Space — Can a model predict how a cell responds to a genetic perturbation it has never seen? Xaira Therapeutics&#39; new virtual-cell model, X-Cell, is a 4.9-billion-parameter diffusion language model trained on X-Atlas/Pisces — the largest genome-wide</description>
      <media:thumbnail url="https://i.ytimg.com/vi/2AdS-2uuH80/mqdefault.jpg"/>
    </item>
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      <title>90% of AI tokens will be asynchronous | Matan Grinberg, Factory</title>
      <link>https://www.youtube.com/watch?v=LQGVBApMiVk</link>
      <guid isPermaLink="true">https://www.youtube.com/watch?v=LQGVBApMiVk</guid>
      <dc:creator>Sequoia Capital</dc:creator>
      <pubDate>Tue, 21 Jul 2026 17:37:20 GMT</pubDate>
      <description>Sequoia Capital — If everyone woke up sick tomorrow, coding-agent usage would drop to near zero. Matan Grinberg of Factory on the shift from copilot mode to agent-native software development.</description>
      <media:thumbnail url="https://i.ytimg.com/vi/LQGVBApMiVk/mqdefault.jpg"/>
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      <title>What AI insiders say off the record | Jasmine Sun</title>
      <link>https://www.youtube.com/watch?v=kLAawZ9x1nQ</link>
      <guid isPermaLink="true">https://www.youtube.com/watch?v=kLAawZ9x1nQ</guid>
      <dc:creator>80,000 Hours</dc:creator>
      <pubDate>Tue, 21 Jul 2026 17:11:52 GMT</pubDate>
      <description>80,000 Hours — Many AI researchers believe mass job displacement is coming — and some even think there’s a chance their technology will kill everyone. But they’re building it anyway. Writer and journalist Jasmine Sun has been documenting why from the insi</description>
      <media:thumbnail url="https://i.ytimg.com/vi/kLAawZ9x1nQ/mqdefault.jpg"/>
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    <item>
      <title>AMD Ryzen AI Halo - 100% Local AI</title>
      <link>https://www.youtube.com/watch?v=ogVSqcVxv28</link>
      <guid isPermaLink="true">https://www.youtube.com/watch?v=ogVSqcVxv28</guid>
      <dc:creator>Sam Witteveen</dc:creator>
      <pubDate>Tue, 21 Jul 2026 13:00:28 GMT</pubDate>
      <description>Sam Witteveen — #AMD_Partner. This video is sponsored by AMD. In this video I look at using the latest Ryzen AI Halo from AMD for local AI tasks. Find out more about the AMD RYZEN AI HALO: https://www.amd.com/en/products/processors/desktops/ryzen/ryzen-ai-</description>
      <media:thumbnail url="https://i.ytimg.com/vi/ogVSqcVxv28/mqdefault.jpg"/>
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      <title>Factory&#39;s Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself</title>
      <link>https://www.youtube.com/watch?v=ZesOukBjPmI</link>
      <guid isPermaLink="true">https://www.youtube.com/watch?v=ZesOukBjPmI</guid>
      <dc:creator>Sequoia Capital</dc:creator>
      <pubDate>Tue, 21 Jul 2026 12:00:08 GMT</pubDate>
      <description>Sequoia Capital — Factory started building fully autonomous coding agents in April 2023, two years before enterprises were ready. Matan Grinberg now says this is indistinguishable from being wrong. The Factory co-founder and CEO explains how the company surv</description>
      <media:thumbnail url="https://i.ytimg.com/vi/ZesOukBjPmI/mqdefault.jpg"/>
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    <item>
      <title>GPT-5.6 Sol vs Fable 5: The Ultimate AI Showdown!</title>
      <link>https://www.youtube.com/watch?v=2_4xZAde0pM</link>
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      <dc:creator>Edward Donner</dc:creator>
      <pubDate>Mon, 20 Jul 2026 17:00:35 GMT</pubDate>
      <description>Edward Donner — ▶ See the full benchmark showdown here: https://youtu.be/nHZQp7tQWZk GPT-5.6 Sol vs Fable 5: Which AI model builds products better? I put these two models to the test, comparing their coding capabilities and overall build speed side-by-side</description>
      <media:thumbnail url="https://i.ytimg.com/vi/2_4xZAde0pM/mqdefault.jpg"/>
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    <item>
      <title>I Let GPT-5.6 Sol Build My CRM—It Actually Worked</title>
      <link>https://www.youtube.com/watch?v=PhFxdvZC-4w</link>
      <guid isPermaLink="true">https://www.youtube.com/watch?v=PhFxdvZC-4w</guid>
      <dc:creator>Edward Donner</dc:creator>
      <pubDate>Mon, 20 Jul 2026 16:00:36 GMT</pubDate>
      <description>Edward Donner — ▶ See the full benchmark showdown here: https://youtu.be/nHZQp7tQWZk Can the new AI model Sol build a functional CRM from scratch? Watch as I test its agent-browser skills to see if it delivers a polished, usable application. I put Sol thro</description>
      <media:thumbnail url="https://i.ytimg.com/vi/PhFxdvZC-4w/mqdefault.jpg"/>
    </item>
    <item>
      <title>Sandboxing, Agent Harnesses, and Agent Teamwork</title>
      <link>https://www.youtube.com/watch?v=31IS2mnRV6Q</link>
      <guid isPermaLink="true">https://www.youtube.com/watch?v=31IS2mnRV6Q</guid>
      <dc:creator>MLOps.community</dc:creator>
      <pubDate>Mon, 20 Jul 2026 15:00:05 GMT</pubDate>
      <description>MLOps.community — Shahram Anver is the Co-Founder and CEO of Cleric, the autonomous AI SRE that investigates and root-causes production issues like an experienced teammate — often in under two minutes. Before Cleric, Shahram led MLOps, DevOps, and FinOps pla</description>
      <media:thumbnail url="https://i.ytimg.com/vi/31IS2mnRV6Q/mqdefault.jpg"/>
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    <item>
      <title>Did China just beat Intel?</title>
      <link>https://www.youtube.com/watch?v=NAbpjiQNUMs</link>
      <guid isPermaLink="true">https://www.youtube.com/watch?v=NAbpjiQNUMs</guid>
      <dc:creator>SemiAnalysis</dc:creator>
      <pubDate>Mon, 20 Jul 2026 14:00:33 GMT</pubDate>
      <description>SemiAnalysis — SMIC 7nm N+3 vs TSMC N6 &amp; Intel 18A: How good are Chinese nodes really? We tore down a Kirin 9030 to find out! STEEL teardown article: https://newsletter.semianalysis.com/p/steel-smic-n3-teardown</description>
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