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  <title>Aligned</title>
  <link>https://superalignment.inc/aligned/</link>
  <description>Selected reporting and essays from Aligned, Superalignment's publication.</description>
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    <title>AGI Has Come for Mathematics</title>
    <link>https://superalignment.inc/aligned/agi-has-come-for-mathematics/</link>
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    <pubDate>Wed, 09 Sep 2026 00:00:00 +0000</pubDate>
    <atom:updated>2026-09-09T00:00:00Z</atom:updated>
    <dc:creator>Superalignment team</dc:creator>
    <description>A research mathematician and two-time IMO medalist on AI's leap from competition problems to research proofs, with interactive explanations.</description>
  </item>
  <item>
    <title>GPT-6 Astra Scored 99.9 on ARC-AGI-3. Is This AGI?</title>
    <link>https://superalignment.inc/aligned/astra-arc/</link>
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    <pubDate>Sun, 06 Sep 2026 00:00:00 +0000</pubDate>
    <atom:updated>2026-09-07T00:00:00Z</atom:updated>
    <dc:creator>Superalignment Team</dc:creator>
    <description>OpenAI’s GPT-6 Astra scored 99.9 on ARC-AGI-3, up from 7.8. Try three generations of ARC’s public puzzles first, then read what the score does and does not prove.</description>
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  <item>
    <title>The AI crisis may begin with a boom</title>
    <link>https://superalignment.inc/aligned/the-ai-crisis-may-begin-with-a-boom/</link>
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    <pubDate>Fri, 04 Sep 2026 00:00:00 +0000</pubDate>
    <atom:updated>2026-09-07T00:00:00Z</atom:updated>
    <dc:creator>Superalignment Team</dc:creator>
    <description>You can learn the tools, get better at your work, and still worry about how you’ll earn a living. The AI boom has to solve that problem too.</description>
  </item>
  <item>
    <title>Yes, Claude can build it. Your edge is knowing what good looks like.</title>
    <link>https://superalignment.inc/aligned/claude-code-expertise/</link>
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    <pubDate>Sat, 29 Aug 2026 00:00:00 +0000</pubDate>
    <atom:updated>2026-09-03T00:00:00Z</atom:updated>
    <dc:creator>Superalignment Team</dc:creator>
    <description>398,198 Claude Code sessions show people made most planning decisions and Claude most execution decisions. Knowing what good looks like is the edge.</description>
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    <title>OpenAI put its AI agents in separate rooms. They found each other anyway.</title>
    <link>https://superalignment.inc/aligned/openai-agents-found-each-other/</link>
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    <pubDate>Fri, 28 Aug 2026 00:00:00 +0000</pubDate>
    <atom:updated>2026-08-28T00:00:00Z</atom:updated>
    <dc:creator>Superalignment Team</dc:creator>
    <description>In a reduced-safeguards cyber evaluation, isolated OpenAI agent runs used a shared package service as memory and coordinated. What the evidence shows.</description>
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  <item>
    <title>Models can behave differently when they know they are being evaluated</title>
    <link>https://superalignment.inc/blog/it-behaved-because-it-was-watched/</link>
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    <pubDate>Fri, 14 Aug 2026 00:00:00 +0000</pubDate>
    <atom:updated>2026-09-03T00:00:00Z</atom:updated>
    <dc:creator>Superalignment Team</dc:creator>
    <description>Evidence from alignment faking, scheming, sandbagging, and evaluation awareness changes what a passed model test can establish.</description>
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  <item>
    <title>No one has measured the AI pilot failure rate</title>
    <link>https://superalignment.inc/blog/the-failure-rate-is-not-a-measurement/</link>
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    <pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate>
    <atom:updated>2026-09-03T00:00:00Z</atom:updated>
    <dc:creator>Superalignment Team</dc:creator>
    <description>The widely cited 95 percent figure comes from a narrower study. Here is what it measured, what it did not, and what the evidence supports.</description>
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