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    <description>Open research on how AI models actually learn. One finding per entry, in plain English first and in full technical detail underneath, including the approaches that turned out not to work.</description>
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    <lastBuildDate>Sun, 27 Sep 2026 19:33:14 +0000</lastBuildDate>
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      <title>Flat Through Width 256</title>
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      <description>Across a fourfold range of model width, an unneeded skill costs the other skills the same share of their learning time.</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>It Sees the Damage, Not the Repair</title>
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      <description>Rounding a model&#x27;s weights to fewer bits damages it. Measuring its internal shape spots the damage, but a repaired model works again with a changed shape.</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>It Was the Rate, Not the Width</title>
      <link>https://awarenesssoftwaregroup.com/research/it-was-the-rate-not-the-width/</link>
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      <description>The easing of competition between skills that seemed to come with a wider model came from its slower learning rate.</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>Less Competition at Width 512</title>
      <link>https://awarenesssoftwaregroup.com/research/less-competition-at-width-512/</link>
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      <description>With its learning rate tuned, the widest model paid a smaller share for an unneeded skill, but its rate changed along with its width, so which one</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>Most of It Is Pull</title>
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      <description>Teaching an unneeded skill half as often removed about half of what it cost a small model&#x27;s other skills: the competition is mostly the pull of training,</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>Research questions</title>
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      <description>The 10 questions our public AI training research is organised around, each with its current answer and the published results behind it.</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>The Archive Was Too Coarse</title>
      <link>https://awarenesssoftwaregroup.com/research/the-archive-was-too-coarse/</link>
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      <description>We measured every published checkpoint of two public language models.</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>The Edge Shrank With More Models</title>
      <link>https://awarenesssoftwaregroup.com/research/the-edge-shrank-with-more-models/</link>
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      <description>We had found a way of looking inside compressed models that spotted damage three times better than a simpler check.</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>The One That Was Not A Ruler</title>
      <link>https://awarenesssoftwaregroup.com/research/the-one-that-was-not-a-ruler/</link>
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      <description>We once showed a striking internal change was an artifact of how we measured it. This measurement cannot have that problem, and it shows the same shape.</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>The Prerequisite Forecasts the Skill</title>
      <link>https://awarenesssoftwaregroup.com/research/the-prerequisite-forecasts-the-skill/</link>
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      <description>When a small model learns a skill&#x27;s building blocks forecasts when it will learn the skill, with a third of the error of ignoring them, following a rule</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>Two Papers on Interference</title>
      <link>https://awarenesssoftwaregroup.com/research/two-papers-on-interference/</link>
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      <description>Two 2026 papers on how tasks interfere during training, read against our own measurements: one matches what we found, the other predicts something our</description>
      <pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Boost off the Frontier</title>
      <link>https://awarenesssoftwaregroup.com/research/a-boost-off-the-frontier/</link>
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      <description>Raising the learning rate by half for 40 early steps made small models learn as fast as a higher rate while ending as accurate as the lower one.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Five Second Check</title>
      <link>https://awarenesssoftwaregroup.com/research/a-five-second-check/</link>
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      <description>Reusing a finished model to speed up a new one is worse than useless if you pick without looking.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Fixed Budget Thinks Better</title>
      <link>https://awarenesssoftwaregroup.com/research/a-fixed-budget-thinks-better/</link>
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      <description>Penalising a model for thinking cut its thinking by 38% at almost no cost. Always letting it think for three steps beat that, and we found out why.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Free Check Saturates at Three</title>
      <link>https://awarenesssoftwaregroup.com/research/a-free-check-saturates-at-three/</link>
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      <description>A one-pass check that tells a helpful trained model from a harmful one gets all of its value from the first three candidates.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Head Start From Another Model</title>
      <link>https://awarenesssoftwaregroup.com/research/a-head-start-from-another-model/</link>
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      <description>Dropping a finished model&#x27;s internal machinery into a fresh one removes about forty per cent of the time it takes to learn.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Quarter Is Free</title>
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      <description>Copying the wrong finished model into a new one is the worst thing we have measured.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Queue, Not a Graph</title>
      <link>https://awarenesssoftwaregroup.com/research/a-queue-not-a-graph/</link>
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      <description>Holding back one skill while a small model trained delayed the skills it normally learns afterwards, including ones that did not depend on it at all.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Ratio That Could Not Decide</title>
      <link>https://awarenesssoftwaregroup.com/research/a-ratio-that-could-not-decide/</link>
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      <description>Our test of why skills compete fired its kill test, but on a measurement so unstable it ruled nothing out: one model&#x27;s baseline ran backwards and the</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Rule From 1990</title>
      <link>https://awarenesssoftwaregroup.com/research/a-rule-from-1990/</link>
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      <description>We finally asked what a pre-neural predictor scores on the task most of our results were measured on.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Short Model Is a Lottery</title>
      <link>https://awarenesssoftwaregroup.com/research/a-short-model-is-a-lottery/</link>
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      <description>Two of our own experiments reached opposite conclusions from one trained model each.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Shortcut Only Matters If There Is No Other One</title>
      <link>https://awarenesssoftwaregroup.com/research/a-shortcut-only-matters-if-there-is-no-other-one/</link>
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      <description>Three of our results seemed to disagree about one piece of wiring.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Small Dose Does Little</title>
      <link>https://awarenesssoftwaregroup.com/research/a-small-dose-does-little/</link>
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      <description>Mixing only part of a borrowed model into a new one does little, good or bad.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Speed-Accuracy Frontier</title>
      <link>https://awarenesssoftwaregroup.com/research/a-speed-accuracy-frontier/</link>
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      <description>Faster learning rates made small models learn sooner but end less accurate.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Task Battery With Designed Headroom</title>
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      <description>Our quality checks all passed because the benchmark scored 99% and nothing could fail.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 +0000</pubDate>
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