<?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/3d72ff36-d8c5-4d08-b58c-4a4a81f05d96</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-24T04:50:03+00:00</news:publication_date>
      <news:title>Sources: Zhipu is considering a multibillion-dollar Hong Kong share sale after its stock surged 2,000% since its January IPO, pushing its market cap above $128B (Dong Cao/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1f07c188-7c02-43ea-9043-a4d2a65ceb1e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-24T03:55:02+00:00</news:publication_date>
      <news:title>Sources: prices for Nvidia's AI chips on China's black market have more than doubled amid a US export crackdown; its flagship DGX B300 server has risen to $1.1M (Eleanor Olcott/Financial Times)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/59c3333c-2b98-474d-8564-6f0e41815f22</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-24T03:20:03+00:00</news:publication_date>
      <news:title>Superhuman acquires AI detection startup GPTZero, which has 19M+ registered users and $30M in annual recurring revenue; PitchBook: GPTZero is valued at $88M+ (Geoff Weiss/Business Insider)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d6636cdc-5b3e-408a-8054-162b1141a5c4</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-24T01:40:01+00:00</news:publication_date>
      <news:title>Orderful, which offers AI-powered tools to automate supply chain data management, raised a $35M Series C led by KDT, bringing its total funding to $85M (Maria Deutscher/SiliconANGLE)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/125a7a53-c90c-4923-969f-6492a1758030</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-24T01:10:01+00:00</news:publication_date>
      <news:title>xLight, a startup developing advanced lasers for EUV machines, told investors that it is in talks to raise $350M led by Boardman Bay and Bain Capital (The Information)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/444be322-baa2-40bf-87c0-9407757b632e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T23:55:00+00:00</news:publication_date>
      <news:title>Micron and Sandisk led a tech selloff on Tuesday, falling more than 13%; Western Digital fell 8%, Marvell 9%, Seagate 5%, Qualcomm 8%, and Applied Materials 8% (Britney Nguyen/MarketWatch)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/4013d134-b5c7-4297-99fe-27a59ea2726c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T23:30:00+00:00</news:publication_date>
      <news:title>India’s MoEngage bets that the future of marketing is millions of AI agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d3580f53-004a-4fa2-99b3-e603b9dc32a4</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T22:37:20+00:00</news:publication_date>
      <news:title>Meta launches AI glasses with three new styles from $299</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2559060e-4e46-4f31-a17c-7ae33f7dccca</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T22:23:10+00:00</news:publication_date>
      <news:title>Anthropic launches Claude Tag on Team and Enterprise plans</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/8ea3e4a8-3fa0-47a5-8493-f9f7a0136f8d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T22:03:51+00:00</news:publication_date>
      <news:title>Mistral launches OCR 4 for multilingual document extraction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d4ca1abf-3121-4a5d-b7ea-29e95266b987</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T21:50:01+00:00</news:publication_date>
      <news:title>Cerebras reports Q1 revenue up 94% YoY to $193.4M, net loss down 41% to $14M, and forecasts core gross margin to shrink in Q2; CBRS drops 8%+ after hours (Jordan Novet/CNBC)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/21958a4b-a2f2-4bad-befb-e85e44fc543c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T21:10:11+00:00</news:publication_date>
      <news:title>Mistral debuts OCR 4, a model featuring structured document extraction with bounding boxes, block classification, and inline confidence scores, in 170 languages (Mistral AI Blog)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5c6a0b28-8329-4645-8932-7c3e4171e4eb</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T20:20:02+00:00</news:publication_date>
      <news:title>Sources: Hadrian, which is building AI-powered factories to produce space and defense parts, is in talks to raise ~$1B at a ~$7.5B post-money valuation (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7b918594-625b-4e6f-8e36-8c6a1248b248</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T19:44:49+00:00</news:publication_date>
      <news:title>ClickUp rolls out Brain² AI with deep workspace context</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/a0dff01e-5d4a-49f0-87df-fca24e768f91</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:59:01+00:00</news:publication_date>
      <news:title>InSight: Self-Guided Skill Acquisition via Steerable VLAs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/629cc8f8-7c4b-45d0-a4bf-45684185a4a4</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:55:18+00:00</news:publication_date>
      <news:title>New Bounds for the Last Iterate of the Stochastic subGradient Method</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/9be4ffe5-3752-4f26-8ddc-c2bcf9cb5d0d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:52:21+00:00</news:publication_date>
      <news:title>FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2364b5e2-400c-45be-97e4-6a77211f9e8a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:34:29+00:00</news:publication_date>
      <news:title>OpenThoughts-Agent: Data Recipes for Agentic Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c0b003a4-0962-473f-b54c-99b07121bfb6</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:29:15+00:00</news:publication_date>
      <news:title>Real vs. Complex Spectral Bases for Neural Operators: The Role of Green's Function Alignment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f329ed72-31e9-449f-964b-37134de092e8</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:28:00+00:00</news:publication_date>
      <news:title>IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/36296ac3-a3f3-4882-9d6d-b99d1adbf124</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:21:09+00:00</news:publication_date>
      <news:title>World Models in Pieces: Structural Certification for General Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/91859c22-b590-47d8-8477-10c1ab71e814</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:18:28+00:00</news:publication_date>
      <news:title>Grading the Grader: Lessons from Evaluating an Agentic Data Analysis System</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1afa08ce-c72f-4596-acb6-b995cfb5217c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:12:06+00:00</news:publication_date>
      <news:title>Less is More: Quality-Aware Training Data Selection for Scientific Summarization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/468b8873-50b7-42b4-96db-99067839dbc2</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:07:47+00:00</news:publication_date>
      <news:title>Solving Inverse Problems of Chaotic Systems with Bidirectional Conditional Flow Matching</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/307a3fd8-1cb2-4420-bcab-fdf7c903441a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:05:50+00:00</news:publication_date>
      <news:title>SHERLOC: Structured Diagnostic Localization for Code Repair Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/3aa21332-fb84-46f9-93fb-48be97263283</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T17:00:00+00:00</news:publication_date>
      <news:title>Anthropic’s Claude Tag is learning your company, one Slack message at a time</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/76dd1452-ac22-4b70-aa70-afc28de0e31f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:56:24+00:00</news:publication_date>
      <news:title>Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/bf79f55a-4a00-4b2b-ab3e-e62c3b351abc</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:50:47+00:00</news:publication_date>
      <news:title>OrbitForge: Text-to-3D Scene Generation via Reconstruction-Anchored Video Synthesis</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ff48ef45-a583-4de3-b44b-7c86d0420615</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:49:28+00:00</news:publication_date>
      <news:title>EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/69f1e306-82ac-49b6-bae4-7adb5c025e99</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:46:36+00:00</news:publication_date>
      <news:title>Grad Detect: Gradient-Based Hallucination Detection in LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2e1ebd5c-dfd2-4ba9-972f-3dfb3f4a941a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:39:25+00:00</news:publication_date>
      <news:title>BluTrain: A C++/CUDA Framework for AI Systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f4b57e48-1c93-4cec-abd8-7343a5bd8a09</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:37:48+00:00</news:publication_date>
      <news:title>DeepBD: A Grounded Agentic Workflow for Variant Prioritization and Diagnosis of Genetic Birth Defects</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/73ab8b0e-d6cb-4439-94fe-cedaf4a5159f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:34:55+00:00</news:publication_date>
      <news:title>Are We Ready For An Agent-Native Memory System?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/08a207b7-b078-4849-a95b-3d6e07fc03bf</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:33:13+00:00</news:publication_date>
      <news:title>Posterior Refinement: Fast Language Generation via Any-Order Flow Maps</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ebc19c9d-0b6b-4a2b-a9ae-dd2d6fc92f88</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:17:39+00:00</news:publication_date>
      <news:title>UniDrive: A Unified Vision-Language and Grounding Framework for Interpretable Risk Understanding in Autonomous Driving</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/bec7ad66-b7e9-43d2-9633-2c34f4766949</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:14:52+00:00</news:publication_date>
      <news:title>Can Scale Save Us From Plasticity Loss in Large Language Models?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7b2a10d2-a4ad-44b1-8a3b-442b4f2699f8</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:09:57+00:00</news:publication_date>
      <news:title>Scaling Laws for Task-Specific LLM Distillation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/e041ddf2-d0b5-4287-91d1-377aff2455a9</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T16:09:31+00:00</news:publication_date>
      <news:title>Beyond U-Net: A Latent-Representation-Aligned Skip-Free Backbone for Flow-Matching Speech Enhancement</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/af59e641-a09e-459a-8e46-f6ea26b06949</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T15:55:26+00:00</news:publication_date>
      <news:title>Latitude launches open-source platform to monitor AI agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5f9f47c5-7a01-4152-9a2c-3ca275337df5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T15:47:33+00:00</news:publication_date>
      <news:title>Decentralised AI Training and Inference with BlockTrain</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/8a70f158-d522-4365-849e-00e6e67d0bb8</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T15:39:29+00:00</news:publication_date>
      <news:title>Evaluating the Interpretability of Sparse Autoencoders with Concept Annotations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0dcb7819-d8db-403c-8be0-74c0c167e219</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T15:34:58+00:00</news:publication_date>
      <news:title>CN-NewsTTS Bench: a target-level automatic benchmark for raw-input Chinese news TTS pronunciation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/87b76019-d12b-49b0-b0fb-1797ea2cc161</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T15:33:51+00:00</news:publication_date>
      <news:title>TACTFUL: Tactile-Driven Exploration For Object Localization and Identification in Confined Environments</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/4759eb33-71ab-4b92-baef-a0b6bb2d4af7</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T15:10:00+00:00</news:publication_date>
      <news:title>FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f5efe95a-f67e-4135-9fb2-0249a738076b</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T15:03:31+00:00</news:publication_date>
      <news:title>LaGO: Latent Action Guidance for Online Reinforcement Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/a8f9315d-390b-4e99-90ca-9edeb94192ad</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T15:00:30+00:00</news:publication_date>
      <news:title>DREAM: Dense Retrieval Embeddings via Autoregressive Modeling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5a0e01cb-be24-4a95-9ed6-91ff7e3aeea0</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T14:51:58+00:00</news:publication_date>
      <news:title>Extended pseudo-spectral physics-informed neural networks for phase-field models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0e235acf-f853-43d5-aff6-7e7f814fb173</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T14:48:37+00:00</news:publication_date>
      <news:title>AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/3adf872f-9252-48d2-96b2-350608b7055e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T14:43:43+00:00</news:publication_date>
      <news:title>ParaPairAudioBench: Paralinguistic Pairwise Audio Benchmark for LALM-as-a-Judge</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5c250dc4-3fcc-454c-9f71-d104c8fb6dea</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T14:29:40+00:00</news:publication_date>
      <news:title>CineCap: Structured Reasoning with Spatio-Temporal Anchors for Cinematographic Video Captioning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1b79a25c-5802-4d86-9aea-8c21ff7918e4</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T14:23:56+00:00</news:publication_date>
      <news:title>The Warrant Gap: Claim-Conditioned Re-scoring for Fact-Checking</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d589c9f6-43b1-4095-84e7-32c9273e0dc0</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T14:20:02+00:00</news:publication_date>
      <news:title>Sources: Abu Dhabi's MGX has raised close to $50B from regional sovereign wealth funds, global pension funds, and others to accelerate spending on AI deals (Dinesh Nair/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/36f8fc33-b59f-474c-aaaf-20146e2d7c51</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T13:30:02+00:00</news:publication_date>
      <news:title>Menlo raised $3B for funds dedicated to backing AI startups, its largest haul to date; sources say Menlo's Anthropic stake is currently worth nearly $14B (Natasha Mascarenhas/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/cc116fd2-67cb-4f03-bfd2-93b1e9ca1c9f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T13:25:02+00:00</news:publication_date>
      <news:title>Meta's Starfire glasses with Kylie Jenner include a tiny gemstone on the lens, a metal nose pad to prevent absorbing makeup, and an AI version of Kylie's voice (Julian Chokkattu/Wired)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/51ba756b-45a0-42f4-960c-0db000286e08</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T13:20:03+00:00</news:publication_date>
      <news:title>Meta says Meta Glasses are its first AI glasses to launch with Meta AI powered by Muse Spark from day one, and come in 26 styles across a range of colors (Meta Newsroom)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/19af4dfd-3033-4215-ad69-f9bf58baab45</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T12:00:48+00:00</news:publication_date>
      <news:title>Introducing Mistral OCR 4</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d83dbaf5-1ee6-4185-9c5e-518267522835</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T12:00:00+00:00</news:publication_date>
      <news:title>Introducing Claude Tag</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5d0e0ac0-0bfe-422b-923b-05b52235e3f3</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T11:40:01+00:00</news:publication_date>
      <news:title>ByteDance unveils Seedance 2.5 in Beijing, saying the AI video model can generate 30-second clips from up to 50 reference materials, up from 12 for Seedance 2.0 (Juro Osawa/The Information)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/8ea90779-2079-4f63-b62a-d2fe96757a20</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T09:00:03+00:00</news:publication_date>
      <news:title>OpenAI prepares bidirectional voice mode for rollout on ChatGPT</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2a898951-6b04-4e52-881a-879ac8921c59</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T04:55:01+00:00</news:publication_date>
      <news:title>Eli Lilly plans to use its $7.3B cash reserve to fund an "App Store" for biotech scientists after launching a data center with 1,016 Blackwell chips in 2025 (Patrick Temple-West/Financial Times)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7915b761-74fe-407d-86a2-4af167a50a30</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T04:40:00+00:00</news:publication_date>
      <news:title>OpenAI debuts at Cannes Lions, pitching its new ChatGPT ad business and Codex to marketers, as it tries to build a multibillion-dollar business ahead of an IPO (Financial Times)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/52ff1a75-f520-421c-b1f1-45510516a999</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T00:00:00+00:00</news:publication_date>
      <news:title>Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d829af1c-9e84-4e18-b6a3-4e05becf45bd</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T00:00:00+00:00</news:publication_date>
      <news:title>FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/a6121196-9f9e-4b7d-b8fd-a5123b349ba5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T00:00:00+00:00</news:publication_date>
      <news:title>NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/baf85075-f195-4a65-b8c5-6c97a99fbcff</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T00:00:00+00:00</news:publication_date>
      <news:title>DREAM: Dense Retrieval Embeddings via Autoregressive Modeling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/61f129b1-1be3-4cc4-ba1f-d062dd112a1c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T00:00:00+00:00</news:publication_date>
      <news:title>ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2ffc9935-415a-4293-aaef-b1fb05cb969b</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T00:00:00+00:00</news:publication_date>
      <news:title>Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6f5ff010-2b2d-4366-9406-79c3ebe7e716</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T00:00:00+00:00</news:publication_date>
      <news:title>Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6afb6223-6463-4d58-9430-0afdae06f3b9</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T00:00:00+00:00</news:publication_date>
      <news:title>World Value Models for Robotic Manipulation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/455e0c89-ba3b-4edc-986b-9e7ed9bd35a8</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T00:00:00+00:00</news:publication_date>
      <news:title>Qwen-AgentWorld: Language World Models for General Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c0c7f2d8-dcf1-4196-808c-4a5993196d89</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-23T00:00:00+00:00</news:publication_date>
      <news:title>DiffusionBench: On Holistic Evaluation of Diffusion Transformers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7626e9ad-5fe2-431c-b412-3ea060dc5304</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T23:59:53+00:00</news:publication_date>
      <news:title>Prompt Injection as Role Confusion</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6968540a-52ba-4e7b-94a5-63fb451c522a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T23:40:01+00:00</news:publication_date>
      <news:title>Sources: Qualcomm is in advanced talks to acquire Modular in a transaction valuing the AI chip startup at ~$4B, up from a $1.6B valuation in September 2025 (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2a9c069d-2037-42be-a3b6-b2c38dfcb235</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T21:42:01+00:00</news:publication_date>
      <news:title>OpenAI launches new security tools and updates GPT-5.5-Cyber</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0f6a7dca-9b70-410c-bc84-c5f9ccbb75f6</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T21:41:44+00:00</news:publication_date>
      <news:title>Sakana AI releases Fugu Ultra system to rival top AI labs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/3276cfc1-35b1-4a10-ba05-5364e069a56f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T20:15:01+00:00</news:publication_date>
      <news:title>Air Space Intelligence won an $875M, 12-year FAA contract to develop AI tools that map flight trajectories and identify areas of congestion to reduce delays (Allyson Versprille/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/88bac96e-2420-45f7-9e8e-a00ae8b13531</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T20:13:58+00:00</news:publication_date>
      <news:title>AI chipmaker Groq confirms $650M raise, re-staffs after Nvidia’s $20B not-acqui-hire deal</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/8d18e6dd-76fd-48bb-9c4d-2ea0ec2de4e3</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T19:45:01+00:00</news:publication_date>
      <news:title>Sakana AI launches Fugu, a multi-agent orchestration system accessible through a single model API, claiming Fugu Ultra matches Fable and Mythos on benchmarks (Carl Franzen/VentureBeat)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b90953fc-14ea-475f-9389-b68ca4e8d934</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T18:49:44+00:00</news:publication_date>
      <news:title>Google DeepMind bets $75M on AI’s future in Hollywood with A24 deal</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6c51b6fe-df51-4c97-9908-7c59df42e53a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:59:55+00:00</news:publication_date>
      <news:title>AutoDex: An Automated Real-World System for Dexterous Grasping Data Collection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d6a17b4e-b2e7-43d1-9af7-66573d0b04fc</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:59:53+00:00</news:publication_date>
      <news:title>Randomized YaRN Improves Length Generalization for Long-Context Reasoning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1f0b8dc2-8109-4f0d-8abe-0d7470bdbadb</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:59:20+00:00</news:publication_date>
      <news:title>CoorDex: Coordinating Body and Hand Priors for Continuous Dexterous Humanoid Loco-Manipulation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/9273224c-ada7-488a-9f75-6bf00e7a2679</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:59:17+00:00</news:publication_date>
      <news:title>Semantic Browsing: Controllable Diversity for Image Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5e156f2e-e44e-46d0-a262-a77a04028192</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:58:54+00:00</news:publication_date>
      <news:title>AIR: Adaptive Interleaved Reasoning with Code in MLLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ab9f1da3-d8ec-4084-83fb-f77825b0d58e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:58:52+00:00</news:publication_date>
      <news:title>Open Problem: Is AdamW Effective Under Heavy-Tailed Noise?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/663a1d05-1c87-4c8a-8065-d9ba46fc9afe</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:56:30+00:00</news:publication_date>
      <news:title>Can LLMs Reliably Self-Report Adversarial Prefills, and How?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/4b3f4d39-a5a9-4c9f-8e1e-02ba4b52eb6d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:52:59+00:00</news:publication_date>
      <news:title>On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/77cf5b2e-114f-40ae-967a-5c20fc814f3e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:48:40+00:00</news:publication_date>
      <news:title>MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/fe270b6b-d678-4e4d-b012-bb727d9b8b9d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:48:07+00:00</news:publication_date>
      <news:title>Action-BED: Task-Driven Bayesian Experimental Design with Singly Intractable Objectives</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/db000bc2-3803-451b-8f17-8a503d6e254a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:31:29+00:00</news:publication_date>
      <news:title>Amazon is testing Alexa+ in India with Hindi support</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f7202d2b-558a-4129-b7c1-1daf6bbd19e0</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:31:21+00:00</news:publication_date>
      <news:title>TailorMind: Towards Preference-Aligned Multimodal Content Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7cdd7e9a-2ad9-4084-9b53-49ecda30483b</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:30:24+00:00</news:publication_date>
      <news:title>Learning Process Rewards via Success Visitation Matching for Efficient RL</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7c5110f3-b369-47de-bb2d-48640ad0c919</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:28:45+00:00</news:publication_date>
      <news:title>Muown Implicitly Performs Angular Step-size Decay</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7ade586a-99a2-479b-98be-520747ed2834</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:20:56+00:00</news:publication_date>
      <news:title>Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/606bf78a-6bb6-4204-9e81-37997e42974e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:19:58+00:00</news:publication_date>
      <news:title>DiT-Reward: Generative Representations for Text-to-Image Reward Modeling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/99f013fb-2315-42da-b5dc-922e0ff2ec5f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:16:18+00:00</news:publication_date>
      <news:title>OpenAI unveils an updated GPT-5.5-Cyber model, launches the Patch the Planet initiative in partnership with Trail of Bits to fix open source bugs, and more (Lily Hay Newman/Wired)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/51aaedc4-84a0-46d4-8093-3bf5addb050c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:12:50+00:00</news:publication_date>
      <news:title>RECALL: Recovery Experience Collection for Active Lifelong Learning in Vision-Language-Action Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/579b8767-2632-49c7-a7d5-66020805dde1</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:11:15+00:00</news:publication_date>
      <news:title>Data Selection Through Iterative Self-Filtering for Vision-Language Settings</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/446a2d79-da46-4999-9bb6-47a67f2f92bf</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:09:35+00:00</news:publication_date>
      <news:title>Discovering Latent Groups for Robust Classification</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b7b4c759-53f8-4b7e-a927-dd97da6c73ec</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:08:28+00:00</news:publication_date>
      <news:title>Scaling Linear Mode Connectivity and Merging to Billion Parameter Pretrained Transformers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/767f76bb-8d33-4a6d-b77e-0ee36aa67bf7</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:06:32+00:00</news:publication_date>
      <news:title>Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f45ab4b4-a009-41a3-a9e3-fcb215502925</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:02:09+00:00</news:publication_date>
      <news:title>SPIRAL: Learning to Search and Aggregate</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b2872d30-d18e-4078-8b91-2b3cc35dc232</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T17:00:04+00:00</news:publication_date>
      <news:title>Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/52899414-61ec-4f56-9126-a3f867be8917</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T16:58:59+00:00</news:publication_date>
      <news:title>The Topology of Ill-Posed Questions: Persistent Homology for Detection and Steering in LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/fc2fc185-a4af-4c0b-a693-7d70b7eb4869</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T16:51:29+00:00</news:publication_date>
      <news:title>SpaceX inks compute deal with Reflection AI, an open-source AI lab</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6fc17d88-a884-416c-a348-e18774dad122</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T16:48:43+00:00</news:publication_date>
      <news:title>Evaluation Awareness Is Not One Capability: Evidence from Open Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/446cb6fa-c030-41ca-882e-e6217eca6c08</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T16:47:00+00:00</news:publication_date>
      <news:title>Kamera: Unified Position-Invariant Multimodal KV Cache for Training-Free Reuse</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d37cdff2-4c97-46c0-a6a4-43702e997cf0</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T16:33:16+00:00</news:publication_date>
      <news:title>SVD-Surgeon: Optimal Singular-Value Surgery for Large Language Model Compression</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d470a7f1-342b-4852-bf4d-744c17ad6e7b</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T16:32:25+00:00</news:publication_date>
      <news:title>Scheduling Thoughts: Learning the Order of Thought in Diffusion Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7d93ab23-459d-4af1-bb6f-9534ace6344c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T16:32:00+00:00</news:publication_date>
      <news:title>LangMAP: A Language-Adaptive Approach to Tokenization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c6393e9c-4a0f-4a4c-9ec3-092eeb9a8ce3</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T16:30:01+00:00</news:publication_date>
      <news:title>Alphabet stock fell as much as 7.2%, the most intraday since February, after Google DeepMind VP John Jumper became its second top AI exec to leave in a week (Felice Maranz/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/61baf348-0567-4477-9485-caf41f9e3378</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T16:18:06+00:00</news:publication_date>
      <news:title>The Energy Consumption of Transformer Fine-Tuning: A Roofline-Inspired Scaling Model</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/d26288e4-6cf4-4c6a-aecc-45e13aa76a3b</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T16:17:30+00:00</news:publication_date>
      <news:title>VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b540e7ff-3a34-4aa1-b447-b15ce34946dc</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T15:08:23+00:00</news:publication_date>
      <news:title>SpaceX signs a computing deal worth up to $6.3B with Reflection AI for access to Nvidia GB300s at Colossus 2; Reflection will pay $150M per month through 2029 (Deirdre Bosa/CNBC)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b10604a3-a218-43b6-9a51-7790a7f3a7f7</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T14:40:01+00:00</news:publication_date>
      <news:title>Groq raised $650M led by Disruptive and Infinitum after its Nvidia deal, aiming to hit 200 MW in capacity by the end of 2027, following a $750M raise in 2025 (Zsana Hoskins/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/bc637f8d-4347-438f-be08-094be9671bc7</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T14:10:05+00:00</news:publication_date>
      <news:title>Google invests in independent movie studio A24 as part of a new AI partnership; sources say Google is investing $75M, equal to what Thrive invested in 2024 (Ben Fritz/Wall Street Journal)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/cfa68abc-9a35-4398-99a8-d9a56ee58249</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T13:55:02+00:00</news:publication_date>
      <news:title>Upscale, which is building AI networking infrastructure to rival Cisco, raised a $190M Series A-1 at a $2B valuation, up from $1B after raising $200M in January (Lily Mae Lazarus/Fortune)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b690a94d-512d-44dd-b72a-bdc3d00ba374</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T13:40:00+00:00</news:publication_date>
      <news:title>Nvidia unveils Halos, a new safety-focused OS derived from autonomous vehicle tech, designed to run on IGX Thor hardware for humanoid robots, and opens a lab (Ian King/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/95e33363-3f09-48a8-b722-94808ca3af8c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T12:00:45+00:00</news:publication_date>
      <news:title>NYC-based Prosper AI, whose health care AI tool is designed to answer patient phone calls, raised a $30M Series A led by a16z, for $35M in total funding (Brock E.W. Turner/Axios)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/cfba6264-8879-4add-8456-75faa378373e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T11:30:04+00:00</news:publication_date>
      <news:title>Chevron signs a 20-year deal with Microsoft to provide natural-gas power for a proposed West Texas data center, which could be one of the biggest in the US (Kevin Crowley/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2526fb0b-c2fe-45ff-8b8d-a1a8bbd327e6</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T10:10:02+00:00</news:publication_date>
      <news:title>SK Hynix passes Samsung to become South Korea's most valuable company, closing up 5.6% for a ~$1.4T market cap; South Korea's Kospi index is up 117% YTD (Kimberley Kao/Wall Street Journal)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/4009533f-cf9f-461f-8d24-9f0ba0398dec</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T10:00:31+00:00</news:publication_date>
      <news:title>Getty signs a licensing deal with OpenAI, letting its image library appear in ChatGPT's search and discovery features; GETY jumps 150%+ pre-market (Mark Bergen/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/22f3578c-15e8-40c3-afb0-38ce5e8d2c08</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T10:00:00+00:00</news:publication_date>
      <news:title>Daybreak: Tools for securing every organization in the world</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/48600c1a-3ad2-4ab2-b58b-bb568da80937</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-22T05:10:01+00:00</news:publication_date>
      <news:title>Tencent starts testing the new Xiaowei AI assistant powered by WeLM and DeepSeek models in its WeChat app in China, in an effort to catch up in the AI race (Luz Ding/Bloomberg)</news:title>
    </news:news>
  </url>
</urlset>
