<?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/c6191297-0fb9-4d16-889e-0691658f73df</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-01T09:40:01+00:00</news:publication_date>
      <news:title>Hong Kong-listed Z.ai reports H1 2026 revenue up 5x YoY to ~$142M, with "open platform and API revenue" up 28x to ~$122M, and net loss down 12% YoY to ~$308M (Juro Osawa/The Information)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f1ec7bfc-7939-4c55-a5f9-87520c11946d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-01T04:36:54+00:00</news:publication_date>
      <news:title>[AINews] Fal’s H3 Max Live breaks the infinite videogen barrier</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/9daddac7-12cd-44a7-882b-9221fffe3079</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T23:40:03+00:00</news:publication_date>
      <news:title>Sources: Anthropic has signed a $35B cloud deal with Nvidia-backed Lambda; Nvidia will hold the lease on and supply chips to a Texas data center built by Hut 8 (Anissa Gardizy/Wall Street Journal)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0bc734e6-7acd-41be-88b8-07b839336345</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T21:25:01+00:00</news:publication_date>
      <news:title>Sources: AI sales and marketing startup Clay is raising a round led by Wellington at a $7B pre-money valuation, up from $5B via an employee tender in January (Lucinda Shen/Axios)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/a031b988-4e2d-465d-82dc-08a0cde063c5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T21:00:46+00:00</news:publication_date>
      <news:title>The Pentagon launches ChatGPT Mil and Grok for Government on its GenAI.mil platform, giving its 3M personnel access to AI tools "tailored to warfighter needs" (Kirsten Korosec/TechCrunch)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/61c0f007-051d-4c8d-85b5-bb5a0ee0a239</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:59:46+00:00</news:publication_date>
      <news:title>Context-Aware Interleaved Batching for WhisperX</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7241a757-7cf7-4d84-a529-20a079b502e6</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:59:16+00:00</news:publication_date>
      <news:title>SUN: Persistent Programs For Language-Grounded Control-to-Learning-to-Real Policies</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b3c223d8-0b3c-4d33-8d80-35243a73662c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:48:24+00:00</news:publication_date>
      <news:title>Auditing Anonymous AI Models: A Four-Stage Protocol for Black-Box Identity Verification</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/166467f6-9aed-4bf8-9413-e0dbe735c9fe</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:45:01+00:00</news:publication_date>
      <news:title>Reframe, which uses AI and industrial robot arms to make modular homes in a factory, raised a $40M Series A extension round led by Energy Impact Partners (Rocket Drew/The Information)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/487d8580-d58a-4c72-a0e2-b3458569868a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:31:18+00:00</news:publication_date>
      <news:title>PaperGym: Rubric-Centered Evolution for Research-Plan Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/db782a39-a7e0-4f84-a70c-673c87c8275d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:19:40+00:00</news:publication_date>
      <news:title>TimesFM-3: A zero-shot foundation model for multivariate forecasting</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/e36b4f04-c5d6-4a06-bf55-59e9242e5272</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:14:59+00:00</news:publication_date>
      <news:title>Aspire: Can Models Self-Evolve from Vague Goals?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/aae9745d-6e58-46ed-843c-286ceafcba45</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:10:59+00:00</news:publication_date>
      <news:title>BLOOM-WILT: Logit Tilting for Behaviour Elicitation in Automated LLM Auditing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/78ced18d-0224-49ea-b0cb-b1d17f5910f0</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:08:41+00:00</news:publication_date>
      <news:title>LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0791a971-63d7-4bb7-876f-73d715f48e0e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:05:41+00:00</news:publication_date>
      <news:title>S3Gym: Can LLMs Turn Self-Testing and Self-Judging into Self-Improvement?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/295b24cb-c0e7-464d-9a71-b6cc074f3157</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:03:45+00:00</news:publication_date>
      <news:title>One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/16b39ab7-6a05-412b-808b-ea940afee326</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T17:00:09+00:00</news:publication_date>
      <news:title>Minimax bounds for watermarked and masked recursive discrete distribution estimation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1a85e9d9-c5a7-47cd-8074-5c667bdd2d86</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:56:20+00:00</news:publication_date>
      <news:title>The First Token Is a Clue: Verbalizing Multi-Token Concepts from the J-lens</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/26d272ba-7ffc-4741-aa05-dc8c8b129667</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:53:45+00:00</news:publication_date>
      <news:title>Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2115553c-bb0d-40e8-8646-327443631522</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:52:57+00:00</news:publication_date>
      <news:title>Sycophantic Agreement Transfers with Neutral Data via Contrastive Preference Optimization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/027065cb-e171-4f7d-be26-c3bb53d641f1</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:51:50+00:00</news:publication_date>
      <news:title>Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/938f4379-5a13-4be8-937f-3266a5407df0</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:48:51+00:00</news:publication_date>
      <news:title>Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/fefcd69e-1264-43db-80f2-8b04270054c5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:45:41+00:00</news:publication_date>
      <news:title>A Model with No Head and Many Thoughts</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ca8e04cb-8237-4694-b9bd-ccdeb0477cee</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:43:55+00:00</news:publication_date>
      <news:title>Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence Scores</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/3b5d3c95-bc1c-4ee8-aea1-a815efa18c6a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:42:11+00:00</news:publication_date>
      <news:title>Universal Transformers for Circuit Computations: Perfect Length Generalization in Tiny Transformers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ce28857b-c167-4000-8dc4-391baca3428a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:41:14+00:00</news:publication_date>
      <news:title>Every Token Leaves a Ripple in the Stream of Thought: Eliciting Model-Internal Token Saliency for Chain-of-Thought Compression</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ed0902a4-7335-49c5-8b0c-82fe8dbb66b7</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:35:31+00:00</news:publication_date>
      <news:title>Improving Information Extraction with Learned Queries</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/a24145c0-2fe4-4da0-b6e6-05a8b7f768dc</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:34:51+00:00</news:publication_date>
      <news:title>Measure Before You Manage: Evaluating Agent Working Memory in Coding Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/85a463d2-3cd8-4428-88c3-8d31d1264b61</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:30:01+00:00</news:publication_date>
      <news:title>a16z says its fifth growth fund has closed additional capital, bringing its total to $8.5B (Andreessen Horowitz)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/3799caa1-30ee-427b-9f0c-8465863adf5b</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:22:10+00:00</news:publication_date>
      <news:title>Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6540480f-a755-4343-85a7-b4cafc2e8222</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:15:36+00:00</news:publication_date>
      <news:title>Normalized Low-Rank Adaptation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/acceb424-de04-4ca6-845a-9495b3697076</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:10:04+00:00</news:publication_date>
      <news:title>Driving on Memory</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6a05265f-726f-41f3-9425-ee1cad4704c5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:05:39+00:00</news:publication_date>
      <news:title>MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6bc4c85c-03fb-4470-b98a-d4ee5ccd4df5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:00:27+00:00</news:publication_date>
      <news:title>One note in three: a verified census of three deployed AI scribes, and the instrument that counted it</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/6138484e-2e0a-4a39-a09a-ba60c7a6137e</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:00:00+00:00</news:publication_date>
      <news:title>Clipto uses AI to search terabytes of video and is now valued at $250M</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/758e644a-c1a9-43bc-baf8-d58432d9ed6f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T16:00:00+00:00</news:publication_date>
      <news:title>GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/aee0d9a2-cf05-457f-acf7-5940432285e4</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T15:59:54+00:00</news:publication_date>
      <news:title>LLM Judges Verify Presence, Not Absence: Omission Blindness in AI Clinical Notes and What Recovers It</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2339d6e7-788b-49bc-a792-d000204a5987</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T15:15:25+00:00</news:publication_date>
      <news:title>Nvidia’s $3.5B MediaTek bet reveals its plan for tackling Big Tech’s AI chip buildout</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5a7fe90a-245b-40d7-8b00-341c3206ba7d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T15:10:01+00:00</news:publication_date>
      <news:title>Together AI, which serves open models, announces a deal to use compute from Humain in Saudi Arabia, where it can bypass US backlash over data centers (Niko Gallogly/New York Times)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/f478e18c-950e-41d2-8750-52e719063ab5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T14:05:58+00:00</news:publication_date>
      <news:title>Sources: CXMT has begun producing HBM3E memory chips in small quantities and plans to expand production in 2027, a major advance for China's chip industry (The Information)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/bde2a58a-35a4-4a66-b2bb-ff2b8d0997c2</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T13:12:08+00:00</news:publication_date>
      <news:title>OpenAI says its ad business has hit $1B in annualized revenue run rate and is expanding globally, as it touts its "diversified business model" ahead of an IPO (Ashley Capoot/CNBC)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/aef66a21-9c69-4ad7-8af3-6e555bbf9fce</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T12:47:42+00:00</news:publication_date>
      <news:title>Nvidia plans to invest $3.5B into MediaTek through convertible bonds; MediaTek forecasts AI chip revenue of about $2B this year (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/153dd4f8-7143-4e7e-964a-b9b4fc062c9d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T12:20:41+00:00</news:publication_date>
      <news:title>Filing: Tencent-backed AI chipmaker Enflame prices its Shanghai IPO at ~$21 per share, aiming to sell 43M shares and raise ~$911M (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/c720fad6-96c4-4a7f-b076-c6bfb1f2db8d</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T11:45:05+00:00</news:publication_date>
      <news:title>Z.ai reports H1 2026 revenue up 400% to ~$142M, below its $200M projection; Z.ai's market value surged 800% since its January listing, peaking at $137B (Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0e094e08-9ab4-4123-bc2c-b081912b16e5</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T05:35:15+00:00</news:publication_date>
      <news:title>Sources: OpenAI starts letting some major customers pay only when its AI completes tasks, as Salesforce and other AI providers test outcome-based pricing (The Information)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/dd9f6151-3424-43d6-938e-ba79d3ea2258</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T05:25:01+00:00</news:publication_date>
      <news:title>OpenClaw releases OpenClaw 2.0, its largest update to date built by 933 contributors, with a simplified installation process, a rebuilt browser app, and more (Hannes Rudolph/OpenClaw Blog)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/69a82b9d-f36e-4859-a71c-8b5d4953acc8</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T04:50:09+00:00</news:publication_date>
      <news:title>IPO documents: SoftBank's SB Energy plans to file for an IPO as soon as this week, aiming to raise $5B to $7B, and has awarded OpenAI warrants worth ~$5.5B (Anissa Gardizy/Wall Street Journal)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/22de06fd-fff0-4488-acbe-0bf215c72161</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T04:00:00+00:00</news:publication_date>
      <news:title>A milestone in expanding access to AI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/1e0ec6b5-2f11-48b3-a1fa-476cfe018812</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:15:01+00:00</news:publication_date>
      <news:title>Chip design startup Agentrys has raised a $19.1M seed round led by Etna Labs and a $5.4M pre-seed led by MediaTek (Chris Metinko/Axios)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/8ddab63e-0f3d-461a-b2db-ad6c8ed7f62c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>WebWorld: The Browser as a World Model for Self-Improving Web Code</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/ff2ae7ae-2bd3-4739-ba6a-09ed26c68f65</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>DICS: Exploring Data Intrinsic Consistency for Visual Instruction Selection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/e2b39837-8b30-4164-ba3c-51cf5dab1215</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>Verification-Aware Training for Speculative Decoding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/8d5ec3da-677f-44ad-be2a-661ecc1eeafe</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>DreamX-Creator: Democratizing Native Audio-Video Generation at 2K Resolution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/99cd5f43-f31b-49a5-a27f-49cad823b906</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>Normalized Low-Rank Adaptation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/0d3c0b61-fd6b-4e29-8de3-5bd8338b4b5f</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>PaperBanana-Interact: Scientific Diagram Refinement with Multi-Turn Human Feedback</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/fb50c387-43de-4927-bed8-a4f554bffc2c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/2399eba5-553a-4576-84d9-3ac2b5eeada9</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/254a8cdf-b5d8-450f-8c8d-a162bb3f77ce</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon Navigation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/5778a315-2c9b-4572-a5de-8c402ef158e6</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>CogEvol: Towards Efficient and Reliable Learning Environment Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/456b16b1-af55-4e44-bf1f-095ac6ad6f68</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>CAST: Critique-Aware Supervision for Training Reliable Long-Horizon Tool-Calling Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/a63ded2f-7028-4aa5-a05b-bb3c6b9540df</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/78688359-8520-47fd-963a-e6e213a483e0</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/b7eaefc5-2aa9-458d-a3f0-49c5af0b2dc1</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>BLARM: Animating 3D Objects from Video via Blending Latent Rigid Motion Primitives</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/7ec55a9c-9ed7-428a-83e4-6fa45205454c</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/852e390a-8232-43bd-bd1e-087144dc6a46</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/29a47260-20f1-4280-a14d-4feedb999603</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31T00:00:00+00:00</news:publication_date>
      <news:title>PaperGym: Rubric-Centered Evolution for Research-Plan Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/777ccc3a-8e26-4e4f-b3a1-f25e9dbddc6a</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-30T22:45:01+00:00</news:publication_date>
      <news:title>The challenges John Ternus inherits as he replaces Tim Cook on Sept. 1 amid rising component costs, staff retention issues, efforts to catch up in AI, and more (Mark Gurman/Bloomberg)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://megadose.ai/i/86145d7f-3e84-4a01-af22-90b6f4bb8046</loc>
    <news:news>
      <news:publication>
        <news:name>Megadose</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-30T16:20:02+00:00</news:publication_date>
      <news:title>Sources: OpenAI bought tens of thousands of Macs for RL, Anthropic rents them, Nvidia sees Apple as its main local AI rival as Macs gain traction with AI devs (Aaron Tilley/The Information)</news:title>
    </news:news>
  </url>
</urlset>
