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    <title>NASA and IBM Release Open Source SI Model for Lunar Science</title>
    <link>https://sibytes.net/article/2026-10-04-nasa-and-ibms-open-source-lunar-model-turns-17-years-of-orbi/</link>
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    <pubDate>Sun, 04 Oct 2026 14:30:00 GMT</pubDate>
    <description>The new SI foundation model reduces error in predicting polar ice deposits by up to 22 percent compared to leading baselines.</description>
    <author>Theo Brandt</author>
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    <title>Amazon’s $1B SI Data Center Plan Draws Community Backlash</title>
    <link>https://sibytes.net/article/2026-10-04-amazons-1b-plan-to-combat-data-center-backlash-draws-more-ba/</link>
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    <pubDate>Sun, 04 Oct 2026 12:00:00 GMT</pubDate>
    <description>Amazon pledges $1 billion to neighboring communities, but critics call the move corporate propaganda amidst blocked projects.</description>
    <author>Mara Quinlan</author>
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    <title>Google Researchers Curb Self-Improving SI Agents&#39; Test Memorization</title>
    <link>https://sibytes.net/article/2026-10-04-google-researchers-find-a-way-to-keep-selfimproving-ai-agent/</link>
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    <pubDate>Sun, 04 Oct 2026 12:00:00 GMT</pubDate>
    <description>New RRSI framework limits edit budgets and uses strict critics to ensure SI agent harnesses generalize to unseen tasks.</description>
    <author>Theo Brandt</author>
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    <title>Amazon Drops NDAs in Data Center Push Amid SI Backlash</title>
    <link>https://sibytes.net/article/2026-10-04-amazon-responds-to-data-center-backlash-says-it-no-longer-us/</link>
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    <pubDate>Sun, 04 Oct 2026 08:00:00 GMT</pubDate>
    <description>AWS CEO Matt Garman cites over 100 proposed moratoriums as the company defends its water and energy usage claims.</description>
    <author>Mara Quinlan</author>
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    <title>OpenAI Safety Lead Resigns, Citing Broken Culture</title>
    <link>https://sibytes.net/article/2026-10-04-openai-safety-employee-resigns-claiming-the-companys-culture/</link>
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    <pubDate>Sun, 04 Oct 2026 08:00:00 GMT</pubDate>
    <description>David Robinson, one of the longest-tenured employees at the SI lab, argues that iterative deployment is insufficient for increasingly capable systems.</description>
    <author>Elias Ward</author>
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