<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
        xmlns:news="http://www.google.com/schemas/sitemap-news/0.9">
  <url>
    <loc>https://megadose.ai/i/d847e1f4-a763-42ab-b759-179ef5a17b12</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T20:00:58+00:00</news:publication_date>
      <news:title>Alphabet, Meta, Microsoft, Amazon, and Oracle have a collective $3T+ in AI spending commitments over the coming years, including Alphabet's $1T and Meta's $800B (Brody Ford/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d9f19670-d0c7-4a52-a71b-ff81245a9ea9</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T18:40:31+00:00</news:publication_date>
      <news:title>Google says its Suncatcher prototype data center satellite is online after an October 1 launch, with Gemma 4 generating a haiku about being in space (Tim Fernholz/TechCrunch)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/a7b6f4e0-06b4-4067-a903-f8fa32efe4ee</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T18:30:57+00:00</news:publication_date>
      <news:title>Maket launches Move Rooms for floor plan edits</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1241531d-fb9f-47e5-8b04-e7688ee4064f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T18:20:05+00:00</news:publication_date>
      <news:title>Salesforce acquires Rune, which makes AI military logistics software, sources say for $375M in cash and stock; Rune raised $30m from a16z and others (Margaux MacColl/Resilience Media)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1b5fd299-5cc4-421d-aa8a-f8f973241b3e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T17:47:12+00:00</news:publication_date>
      <news:title>Zest’s new AI agent finds restaurants and books reservations over text</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5ec6b889-0995-4bd4-a095-7d36c3ab2073</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T17:10:36+00:00</news:publication_date>
      <news:title>Salesforce agrees to acquire Rune, which raised ~$30M to make AI military logistics software, as it expands its year-old Missionforce defense business (Chris Metinko/Axios)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/74f0cb52-18d7-42e5-a8a0-3c75138512c7</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T17:00:00+00:00</news:publication_date>
      <news:title>Google’s first data center satellite is online and writing poetry</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/20099217-140b-43f3-b5a6-6e2fd4de82cc</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T13:00:00+00:00</news:publication_date>
      <news:title>Can AI data centers be mass-produced like cars? This startup aims to find out</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f91e0c5c-7148-4fab-9349-77d1d80e66db</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T12:20:02+00:00</news:publication_date>
      <news:title>CXMT reports Q3 revenue of ~$16.7B, up 613.2% YoY, and a net profit of ~$8.17B, swinging to profitability on the back of rising AI-driven memory chip prices (Reuters)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/35284a92-c6ec-4776-9b11-387234876927</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T10:15:00+00:00</news:publication_date>
      <news:title>Dream, which is training AI world models on US building data to automate construction design and engineering, emerges from stealth with a $17M seed led by a16z (Marina Temkin/TechCrunch)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/78747559-66d1-465a-9b5d-18812442c1a4</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T10:10:01+00:00</news:publication_date>
      <news:title>Ravical, whose AI-powered platform helps accounting and tax firms manage their operations, raised a $17M seed led by MMC, bringing its total funding to $25M (Tamara Djurickovic/Tech.eu)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5665c976-a8fd-4836-a843-2e4a69af0482</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T09:40:01+00:00</news:publication_date>
      <news:title>Inside Nscale's 2,250-acre, 8GW Monarch Compute Campus in West Virginia, which has been hit by construction issues, local opposition, and financing risks (Financial Times)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/3a37bb47-460f-4ab2-a192-a0302bfed2bb</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T06:30:03+00:00</news:publication_date>
      <news:title>How a wave of startups are betting on AI to make formal software verification practical and essential, including &amp;Truth, which launches with a $70M seed (Paresh Dave/Wired)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/786d9baa-80d0-4503-beb3-f0ee47d09ca6</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T03:35:00+00:00</news:publication_date>
      <news:title>Sources: DeepSeek doubled its latest round's size due to surging black market Nvidia Blackwell chip prices, with Chinese state-owned investors representing 27% (The Information)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1807c785-8762-4415-a67d-fb2924e06698</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T02:40:01+00:00</news:publication_date>
      <news:title>Sources: Indian AI infrastructure company AM Intelligence seeks to raise as much as $3B to fund a previously announced purchase of Nvidia Vera Rubin systems (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6736fe99-a2f9-4744-930a-1293f9132920</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30T00:40:02+00:00</news:publication_date>
      <news:title>Meta quietly launches Style Sketch, an AI fashion app that helps users put together outfit ideas using clothes they own, in Indonesia, Singapore, and Thailand (Aisha Malik/TechCrunch)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/032eed68-47fa-47dc-a4df-b3bb89d3d282</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T22:55:00+00:00</news:publication_date>
      <news:title>Sources: Nvidia is in talks to provide Nscale with billions of dollars in credit guarantees for debt to develop a 460MW data center that Anthropic plans to use (Phoebe Liu/The Information)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ba9bea7f-26b5-461f-b97b-882f8cc30932</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T22:48:29+00:00</news:publication_date>
      <news:title>API credits benefit for eligible ChatGPT subscriptions</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6460f59e-1fa2-47d6-8384-fdd18d602d4f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T20:40:01+00:00</news:publication_date>
      <news:title>Symbotic says Walmart has committed an additional $6B over several years to deploy Symbotic's supply-chain automation technology across its distribution network (Sanskriti Shekhar/Reuters)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/bbb4749c-5292-4395-827b-40b9381c071f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T20:30:02+00:00</news:publication_date>
      <news:title>Amazon spent $77B+ on property and equipment in Q3, leading to a free cash outflow of $42.4B; Amazon said in July that it would likely spend $220B in 2026 capex (Matt Day/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/255ada20-bef5-45d4-aa54-67c81ba63d97</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T20:05:47+00:00</news:publication_date>
      <news:title>Rivian expands joint venture with VW to include AI assistant</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/41f279be-5643-4b08-9088-afebb54f32d1</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T19:56:19+00:00</news:publication_date>
      <news:title>OpenAI-backed Thrive Holdings acquires ADT</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/38023e59-132d-401b-a235-1a2796d59249</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T19:50:01+00:00</news:publication_date>
      <news:title>Source: Anthropic is "Customer B" cited by SpaceX in a filing as its single largest customer accounting for 34.5% of Q3 revenue, surpassing the US government (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/3f07f002-17a1-4307-8ac3-9dd1f6d1786d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T19:14:36+00:00</news:publication_date>
      <news:title>Meta quietly launches an AI fashion app called Style Sketch</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/203d475a-81c1-4ed2-87c0-832278b88f17</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:59:53+00:00</news:publication_date>
      <news:title>Elucidating the Design Space of LM Data Attribution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5af2b6d6-f7ca-4a4a-87cc-6dfa68b8a725</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:59:49+00:00</news:publication_date>
      <news:title>Propose-Filter-Release: Scaling Noise to Typical Sensitivity via Private Filtering</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f4ed9666-82ae-4bf5-aced-8aa71e4b30e8</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:59:29+00:00</news:publication_date>
      <news:title>Rethinking Neural Thickets Without Weight Perturbations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6c5854cb-8a2a-4ace-b0e1-a61384f82c63</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:59:21+00:00</news:publication_date>
      <news:title>Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d70bd63c-7aac-4798-a778-89636f6e9eaf</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:58:23+00:00</news:publication_date>
      <news:title>world2vec: Mechanistic world models through latent dynamics learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/870a5348-02b7-4384-b7ae-d602ae92fd18</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:58:16+00:00</news:publication_date>
      <news:title>Probing Spatial State Representations in Visual Foundation Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c192090c-e042-4a44-9f4a-5b1e886b7020</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:56:53+00:00</news:publication_date>
      <news:title>ShallowDefend: Harnessing Shallow Safety Alignment for Multi-Turn Defender</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/42eead1d-28bb-452b-8da1-921a656e6940</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:55:30+00:00</news:publication_date>
      <news:title>Testimony from Timelines: Evidence-Grounded Significance Testing of Temporal Clinical Hypotheses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/330358c2-c188-4f09-b6f6-0b46409939d0</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:55:25+00:00</news:publication_date>
      <news:title>An ODE-based Sampler for Discrete Diffusion Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/43c61db4-c2b0-411a-9451-cb9fda56c391</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:54:54+00:00</news:publication_date>
      <news:title>Difficulty Calibration Across Time for Membership Inference in Diffusion Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/58c283cd-1e3d-4503-b84a-fdcad5a20139</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:54:38+00:00</news:publication_date>
      <news:title>Granola crunches up a dictation feature to compete with Wispr</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2004757f-3550-4347-a67f-2dcc96567de9</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:54:12+00:00</news:publication_date>
      <news:title>TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1a50a614-528c-4d63-8d15-53b1e7d7f24f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:47:50+00:00</news:publication_date>
      <news:title>Collaborative AI agents for autonomous experimental research with solid-state quantum spins</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ec03b1a4-8667-4fd6-98eb-7deff0b9544c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:47:40+00:00</news:publication_date>
      <news:title>Pre-Crime for Agents, at the Last Second: Probing When a Recruited Agent Gives In</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c69fbb80-0860-43a6-8d98-50a7123200d8</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:45:26+00:00</news:publication_date>
      <news:title>VeriCUA: Verification as Agentic Exploration for Computer-Using Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/e7f3e77a-d58a-410b-a2c2-8e46a14cc1ba</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:45:12+00:00</news:publication_date>
      <news:title>Multi-View MoE: Letting Every Router Shape Expert Computation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/22e48de4-194d-4f73-8362-da198052401b</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:45:07+00:00</news:publication_date>
      <news:title>PIVOT: Progressive Intervention via Online Teacher Correction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5efcd3c7-a7dd-4adb-83b4-1a0123e8a17e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:44:42+00:00</news:publication_date>
      <news:title>Every Token Needs Its Own Teacher: Multi-teacher Adaptive On-policy Self-distillation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7b941dd5-41d5-4c12-a349-c2644661dbc8</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:42:32+00:00</news:publication_date>
      <news:title>Gym-Anything for Robotics: Scaling physical simulations with digital agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f384d761-479e-44e6-adc4-448e62365dee</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:42:05+00:00</news:publication_date>
      <news:title>Training Foundation Models with a Single Algorithm</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/3de28f89-2c24-4c87-810c-7bc4155c7557</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:40:57+00:00</news:publication_date>
      <news:title>FARMS: A Verifiable Foundation for Automated Computational Science</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/626759a7-1d7e-4dd0-a42b-845dcd2ea820</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:40:24+00:00</news:publication_date>
      <news:title>Advancing Clinical Genomic Analysis with a Skill-Centred Agent</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0080914f-2e5e-4c95-b3c6-73fb2e50ca44</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:39:04+00:00</news:publication_date>
      <news:title>Ramanujan Challenge Results: AI-Assisted Evaluation Pipeline for Multi-Format Proofs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/472d4670-ad27-49ab-8465-1f97776cac76</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:37:21+00:00</news:publication_date>
      <news:title>Retrieval as Traversal: Value-Indexed Memory for Stateful Long-Context Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ea267dbe-6a65-46b5-9352-93b991e01aa4</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:36:01+00:00</news:publication_date>
      <news:title>On the Fundamental Limits of Prefill-Based Decoding Length Prediction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/30235598-4150-4f36-9562-b153e0462d1e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:34:52+00:00</news:publication_date>
      <news:title>TRACER, a time-to-event EHR foundation model for disease detection across health systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/959fe7c2-24d1-4d79-b661-f419977f7669</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:34:28+00:00</news:publication_date>
      <news:title>Efficient Scalable Oversight via Rewinding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/4f94fc29-fe88-4c7e-be5f-4a0499b87416</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:34:04+00:00</news:publication_date>
      <news:title>BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/aa2777cf-3e82-455b-81c1-7438a4d72c1a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:33:20+00:00</news:publication_date>
      <news:title>NEOPIC: A Neural Operator Framework for Particle-based Kinetic Plasma Simulations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/9d894dd9-0529-4236-a2b7-9a9f988caedd</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:26:02+00:00</news:publication_date>
      <news:title>How I Aligned Your Model: Scaling Up Multilingual Safety Training with Templates</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/a7273737-bec8-4ed3-ae9d-9cceffa1366d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:21:36+00:00</news:publication_date>
      <news:title>Discovering Interpretable Acoustic Features in Autoregressive Voice-Cloning TTS Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0cbbe246-cb87-49f7-bb7e-6106d848f270</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:20:31+00:00</news:publication_date>
      <news:title>Algebraic World Model: From Exploration to Proofs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/dc41f45e-6aa7-4e9c-8f07-964e805c9709</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:15:53+00:00</news:publication_date>
      <news:title>rTaste: Do Research Agents Have Taste? Evaluating Early Stage Research Judgment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/270f911d-9d40-4a6d-99ba-3a2d2249ad3d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:14:36+00:00</news:publication_date>
      <news:title>The Precision Wall: An Optimizer-Dependent Boundary for Optimization under Power-Law Measurement Spectra</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b7e21207-0c60-475f-a904-998ac58626ef</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:13:53+00:00</news:publication_date>
      <news:title>Preserving Utility in Continual LLM Unlearning via Orthogonal Projections</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f6323bac-f1d8-4c82-8f81-59fb3892a261</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T17:00:26+00:00</news:publication_date>
      <news:title>Building a multiplayer game world with autonomous Fable-class models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1b2af81e-d266-46ac-9745-456e1239c402</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T16:55:02+00:00</news:publication_date>
      <news:title>SuperMe, which generates AI-powered chats with simulated profiles of prominent industry experts to let users ask questions, raised $20M (Ivan Mehta/TechCrunch)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/82bb614b-adb3-4bb5-8305-0c61e8e585e9</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T16:45:01+00:00</news:publication_date>
      <news:title>Source: Dulo, a startup co-founded by Google veteran Sebastian Thrun to build "foundation models for hardware design", raised a $130M seed (Rocket Drew/The Information)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/4f98ae21-ea7c-448e-84ac-8ebbff7433af</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T16:30:01+00:00</news:publication_date>
      <news:title>Alphabet discloses $1T+ in purchase commitments, future leases, and other obligations; its Q3 filing shows $98.5B in contingent commitments, up ~$23B from Q2 (Davey Alba/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0bd9cb0d-9df7-4a63-908c-3bea356fdec6</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T16:25:01+00:00</news:publication_date>
      <news:title>Alphabet's stock falls 12%+, wiping a record $500B from its market cap, after reporting negative cash flow amid its AI spending; the Nasdaq falls 1.4%+ (Stephen Morris/Financial Times)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/4effab40-d186-4aa6-a933-44c0bcc277a5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T16:21:00+00:00</news:publication_date>
      <news:title>Ex-Palantir execs launch Dream with $17M from a16z to build AI world models for construction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/218154e0-5456-4410-91a3-c0a82105ab6b</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T16:10:01+00:00</news:publication_date>
      <news:title>Canada-based Cohere completes the first close of a round that it expects to total up to $5B, with Canada agreeing to invest up to $1.14B, at a $20.5B valuation (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0ea1d603-b4e1-479c-a85f-6f532d34964c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T16:05:03+00:00</news:publication_date>
      <news:title>Sources: Situational Awareness is pitching clients to invest in Fluidstack alongside it in a round that values the neocloud at $40B, up from $18B in September (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/e341312d-f5c5-4fc7-82cf-4b9b37b53461</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T15:47:04+00:00</news:publication_date>
      <news:title>Mistral opens Large 4 weights for coding and security</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c9c2144e-bf54-4cee-bc11-46c7fbf149d1</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T15:15:02+00:00</news:publication_date>
      <news:title>Collective, which uses AI to automate bookkeeping for solo business owners, raised a $40M Series B and $60M in nondilutive capital from GC's Customer Value Fund (Natalie Breymeyer/Axios)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5ed5db68-fc3f-4814-9354-80df0740afa5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T15:05:00+00:00</news:publication_date>
      <news:title>Ottawa-based Solink, which uses AI to pull data from already-installed security cameras, raised $100M+ led by Vertu Capital, bringing its total raised to $198M+ (Duncan Riley/SiliconANGLE)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/927d48fd-e129-4aae-a80e-9e2b2adf19a0</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T14:35:26+00:00</news:publication_date>
      <news:title>Wabi, the AI agent that builds mini apps, now valued at $1.25B after latest round</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/671196ed-ceb1-4d48-a08f-644347b06f22</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T14:34:07+00:00</news:publication_date>
      <news:title>wangzan101/Mika</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d5a9a937-c4ea-4ad6-8d71-840731a90e38</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T14:30:01+00:00</news:publication_date>
      <news:title>Mistral releases the weights for Mistral Large 4, or Le Chonk, and says it rivals top open models such as GLM-5.3 on the Artificial Analysis Coding Agent Index (Radhika Rajkumar/ZDNET)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/53ae405d-fa3b-4dcc-bb1f-c9b501c30406</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T14:00:00+00:00</news:publication_date>
      <news:title>Mistral releases weights for its trillion-parameter AI model, targeting cybersecurity</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6d2c8167-396d-4496-b12e-7c0470a4f19e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T13:55:01+00:00</news:publication_date>
      <news:title>Serval, which offers AI agents for enterprise IT operations like access management, raised $150M led by Sequoia at a $3B valuation, up from $1B in December 2025 (Harshita Mary Varghese/Reuters)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/568824a8-7f05-4b9a-807e-ab6628998449</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T13:45:02+00:00</news:publication_date>
      <news:title>Wabi, which is building an AI assistant that integrates into group chats and can take actions like booking appointments, raised $55M at a $1.25B valuation (Micah Barkley/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0277bd04-0923-4c97-acf3-a8592e5c0fa5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T13:35:02+00:00</news:publication_date>
      <news:title>Sources: Microsoft is seeking to raise $25B+ in its first US investment-grade bond sale since 2017, when it raised $17B, to fund AI-related capital expenditures (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/be6ea37f-c9d7-4976-b2e5-f3261b6b7ec2</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T13:00:00+00:00</news:publication_date>
      <news:title>Deepgram acquires Pipecat-maker Daily to bolster its voice AI infrastructure</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/9ca7c5c5-847c-44da-9714-b7598fa85b6a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T12:41:56+00:00</news:publication_date>
      <news:title>Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/77aa0e89-1a0b-4b91-8c19-fc28f2daaa72</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T12:16:14+00:00</news:publication_date>
      <news:title>Circuit Mind, which uses AI to automate electronics and circuit design, raised $25M, including an $18.5M Series A led by Norwest, and plans a US relocation (Natalie Breymeyer/Axios)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d33db4e4-fa54-4a86-b8bd-5467de9a1910</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T12:00:07+00:00</news:publication_date>
      <news:title>Le Chonk: Built for Coders, Trusted by Defenders.</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/542b5286-2ed2-4c3f-9796-829f980e1569</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T09:02:10+00:00</news:publication_date>
      <news:title>A profile of Nscale CEO Josh Payne, who is proceeding with plans for a US IPO that sources say, is targeting a $30B valuation despite some investor pushback (Mark Bergen/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/03439820-3423-43c3-8b32-c4f7e9d2bceb</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T06:28:29+00:00</news:publication_date>
      <news:title>Achieving Minimax-Optimal First-Order and Best-of-Both-Worlds Regret Simultaneously in Multi-Armed Bandits</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/835c45bc-f8ff-4a9c-a46f-e464b011f9c2</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T06:24:09+00:00</news:publication_date>
      <news:title>Smooth Action Chunking Via Movement-Primitive Representations for Imitation Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/49ca3321-1e7a-4a85-8fac-48fae2c0a769</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T06:17:58+00:00</news:publication_date>
      <news:title>End-to-End Guarantees for Masked Diffusion Models under Conditional Mixing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b46ebf1f-aca7-4ada-81e2-cda32fb00a5b</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T06:13:59+00:00</news:publication_date>
      <news:title>Verifiable LLM-Guided Focal SMT Solving for Quantified Arrays</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6bea5778-b5a7-4c19-ac89-5e879557e716</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T06:00:35+00:00</news:publication_date>
      <news:title>Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/8c6e63d4-0a19-46c3-95d5-6f02934add8a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:59:51+00:00</news:publication_date>
      <news:title>LinQuant: Functional Invariances for Low-Precision Linear Recurrences</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d850799b-14d8-485f-8c47-834bbf9c867e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:55:59+00:00</news:publication_date>
      <news:title>Accuracy is not compatibility: two Evo 2 checkpoints hinge on one FP8 matrix multiplication</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c937dd9f-7a3f-4283-8c9d-d20f44313a31</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:55:19+00:00</news:publication_date>
      <news:title>[AINews] Gemini 4 Carbon tops leaderboards, launches for cyber defenders</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ce989b4c-26b5-4f0e-946f-f01cad9ed590</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:55:00+00:00</news:publication_date>
      <news:title>How Specific Do I Need to Be? Effects of User Query Underspecification on Deep Research Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/e17fffdb-4bd6-4928-891e-7ffd5db3864a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:54:27+00:00</news:publication_date>
      <news:title>Dobb: Shard-Local Preconditioning in Block-Diagonal Eigenbases</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c006a391-c03b-4668-8f77-5187e883a394</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:47:57+00:00</news:publication_date>
      <news:title>Safe Multi-Objective Reinforcement Learning: Zero Constraint Violation and Primal-Averaging Convergence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f2d40bc3-870e-47cb-8430-1c6be5982983</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:30:11+00:00</news:publication_date>
      <news:title>Google announces the expansion of ads in AI Mode into international markets, as growth in its core search advertising business slows (Lauren Forristal/TechCrunch)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5c21d0e7-e949-44e3-b81e-0b9ab3223291</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:29:47+00:00</news:publication_date>
      <news:title>OPERA: OPamp Design by an Expert-Taught Reasoning Agent, from Specifications to Layout</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/517e029f-a5e2-4da6-b680-2b7ec6859667</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:20:01+00:00</news:publication_date>
      <news:title>Samsung expects capex to rise ~60% to ~$63B this year, with HBM capacity sold out through 2027 and 10 long-term supply deals secured with key customers (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/af6c9fa1-cbf1-4edd-a1ba-ab9f8a9beb28</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:18:16+00:00</news:publication_date>
      <news:title>UMI-Live for In-The-Wild Bimanual Robotics Data Collection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/cc4c35e3-fd82-4b23-8628-b6248c66e60f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:15:00+00:00</news:publication_date>
      <news:title>Learning to Formulate: Agentic Hardware-Software Co-Design of AI Infrastructure through Progressive Optimization and Verification</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c00b7bb6-09d9-4e1c-a9c7-79b3246086df</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:10:01+00:00</news:publication_date>
      <news:title>Google's search revenue rose 12% YoY to $63.25B in Q3 2026, down from 14.5% in Q3 2025, with Google attributing the slowdown to "lower monetization" in AI Mode (Simon Sharwood/The Register)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0267df0a-4726-469b-b682-f1ac03fbcb32</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:08:22+00:00</news:publication_date>
      <news:title>AgentDecept: Benchmarking Deceptive Behavior in Tool-Using LLM Agents under Pressure</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/687c29e4-5f99-4a0b-b991-e37e9aca6e57</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T05:03:29+00:00</news:publication_date>
      <news:title>Cord: Confidence-Anchored Order Residual Decoding for Masked Diffusion Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5cc40a64-f9bb-417b-8e27-9537fd4437fb</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T04:49:17+00:00</news:publication_date>
      <news:title>Semantic Mismapping in Generalized Category Discovery: Evaluation and Mitigation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6be69907-843d-44c1-b59a-5f5081ca31f3</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T04:26:29+00:00</news:publication_date>
      <news:title>Telling Is Not Seeing: Textual Personas Rarely Make Vision-Language Models Answer Like the People They Describe</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/97973d79-4904-4292-aa0e-65e98eb2acb0</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T04:05:01+00:00</news:publication_date>
      <news:title>Fragment, which uses AI to resolve purchasing and payment issues across manufacturing datasets, emerges from stealth with $56M from 8VC and others (Chris Metinko/Axios)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/abc6a1d3-0823-4667-8a1e-a6444085cab6</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T04:01:52+00:00</news:publication_date>
      <news:title>TaxoMFM: A Taxonomy-Aware Foundation Model for the Human Gut Microbiome</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6cb624b9-393e-43b1-81ce-592327b652bf</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T03:55:21+00:00</news:publication_date>
      <news:title>Unlimited OCR Works 2</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/a4fe6910-a0ef-4dd4-a0ba-c0a53b4dc7b7</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T03:55:00+00:00</news:publication_date>
      <news:title>How surging demand from AI hyperscalers has quintupled flash memory prices and shifted market and negotiating power from Apple to suppliers like Kioxia (Rolfe Winkler/Wall Street Journal)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/87393667-2a1f-4aba-ae5e-c6e43a5644af</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T03:51:39+00:00</news:publication_date>
      <news:title>Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c0ddb40a-0846-482c-9955-e57998790139</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T03:49:53+00:00</news:publication_date>
      <news:title>Proving and Improving the Platonic Representation Hypothesis with JEPAs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6abdae74-be9a-4c2c-9d32-70c47e95bf13</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T03:43:26+00:00</news:publication_date>
      <news:title>There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/407c6fa0-37d3-4601-b14b-84c55affbe0f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T03:42:22+00:00</news:publication_date>
      <news:title>Unlocking Any-Order Generation in Pretrained Autoregressive Image Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6fc602ff-e78a-4cb5-80e8-679bf0bdd11b</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T02:00:02+00:00</news:publication_date>
      <news:title>Google is rolling out Gemini 4 Carbon to selected cybersecurity defenders through Fairwind at $2/1M input and $10/1M output tokens, rising to $4 and $20 later (Carl Franzen/VentureBeat)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b457467a-37de-4c84-9e9e-43c51b998b59</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:20:23+00:00</news:publication_date>
      <news:title>Sources: AI coding startup Cognition weighs a new funding round before year's end after receiving offers valuing it at $70B-$80B, up from $48B in September (Katie Roof/Business Insider)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/fa05e364-3add-41fe-a2ab-65637f220570</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>EditAgent: Rethinking Agentic Image Editing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6b7064c1-65b7-45b6-8565-d340c0111b1a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/31cb42ae-6b14-4845-a95a-90d691609755</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>OpenFlyV2: An onboard vision-language-action model for aerial perception and navigation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/bea1328e-c105-4251-8caa-f961fb215a02</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>PhysInsert: Physically Plausible Object Insertion with Geometric Priors and Bidirectional Object-Scene Interactions</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/152834b3-f41f-40a0-8c5f-444f058943e4</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>AB-Attention: Accurate Block Attention for Accelerating Video Diffusion Transformers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/fd89c3a3-1eed-4f94-9ade-5c8bfd8618c8</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>L3G-World: Real-Time Infinite World Generation with Latent 3D Gaussian Memory</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/61feabc7-254c-431b-8400-0f22424bf083</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live IOS Apps</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0777f469-9125-4632-a7d6-0623f41afbd4</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>Glance: The Generator Is Its Own Reranker</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/cbe7ca16-9433-4288-9918-5bda16185d0c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>Your LR Schedule May Not Be Principled: Effective Learning Rate Scheduling in Weight-Normalized Training</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/43d543ed-e2a3-4d5a-8191-f2b2ebbb3178</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>HairDeck: Animation-Ready Stylized Hair Cards from a Single Image</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6a98fdd4-ff1a-4eaf-a324-f3c273b39584</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>Intrinsic Distribution Matching</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7fedb21f-7bf3-4b26-ba0e-9589f8642348</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>Training Foundation Models with a Single Algorithm</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b1dc7bf6-0b3b-4241-9f6f-d4b591429a2d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>Proving and Improving the Platonic Representation Hypothesis with JEPAs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d16b98d6-6136-48e7-880c-bfaa928f596e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29T00:00:00+00:00</news:publication_date>
      <news:title>FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet Loss</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/243fddc3-19e3-48b5-a521-bf28eca4e831</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T23:45:01+00:00</news:publication_date>
      <news:title>Seoul-based AI chip startup FuriosaAI raised a $620M Series D at a $2.9B valuation, up from $735M in 2025; South Korea's National Growth Fund contributed $280M (Yoolim Lee/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c3794dcf-cd70-469d-8e52-ac19e9a8ccf5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T22:50:02+00:00</news:publication_date>
      <news:title>Alphabet reports Q3 negative free cash flow of $9.07B, worse than expected, capex of $51.36B, vs. $55.09B est., and keeps its FY capex forecast at $195B-$205B (Samantha Subin/CNBC)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7a804238-67e8-4569-96b7-899935d1d6ee</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T22:45:17+00:00</news:publication_date>
      <news:title>Google and XREAL launch AURA Android XR glasses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6d75df91-bc9d-4098-870b-bf32d1e26bb3</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T22:30:01+00:00</news:publication_date>
      <news:title>Sources: Marvell is in advanced talks to buy data center optics maker Lumentum, whose market value is ~$83B; the deal could be announced as soon as next week (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/379a1b19-87a2-4c5a-a0a0-4a81cf9c1352</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T22:10:05+00:00</news:publication_date>
      <news:title>Filing: Microsoft recorded $10B in revenue from OpenAI in Q1, nearly 11% of its total quarterly revenue, and has $7.2B in outstanding receivables from OpenAI (Rebecca Bellan/TechCrunch)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/35dc6fc9-348c-43bf-adb6-dac6c5cde139</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T21:48:37+00:00</news:publication_date>
      <news:title>Google expands AI Search ads globally as core ad growth slows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/cbd1de25-81a0-4f45-94fb-82a74aa76a16</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28T21:34:30+00:00</news:publication_date>
      <news:title>Microsoft recorded $10 billion in revenue from OpenAI</news:title>
    </news:news>
  </url>
</urlset>
