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    <title>Awareness Software Group research</title>
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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 experiments that went against us.</description>
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    <lastBuildDate>Wed, 02 Sep 2026 02:39:19 +0000</lastBuildDate>
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      <title>It Never Becomes Free</title>
      <link>https://awarenesssoftwaregroup.com/research/it-never-becomes-free/</link>
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      <description>Our one positive efficiency result does not survive a larger model with a matched task. The point past which switching off was free turns out to have been the point past which the model had stopped learning.</description>
      <pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate>
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      <title>One Number for Every Size</title>
      <link>https://awarenesssoftwaregroup.com/research/one-number-for-every-size/</link>
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      <description>We published one figure for what our early-warning measurement costs, then quoted it in eight results. It was computed in a unit that cancels out of its own ratio.</description>
      <pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate>
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      <title>Research questions</title>
      <link>https://awarenesssoftwaregroup.com/research/questions/</link>
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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>Wed, 02 Sep 2026 00:00:00 +0000</pubDate>
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      <title>The Moment Marks Nothing</title>
      <link>https://awarenesssoftwaregroup.com/research/the-moment-marks-nothing/</link>
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      <description>We withdrew yesterday&#x27;s conclusion the same day. Model size decides whether the shortcut helps; the moment we thought was the dividing line turns out to mark nothing at all.</description>
      <pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate>
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      <title>The Shortcut Reversed</title>
      <link>https://awarenesssoftwaregroup.com/research/the-shortcut-reversed/</link>
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      <description>A training shortcut that saved 22% of the data at one model size costs 26% more at a larger one. The early warning that told us when to take it is still worth nothing.</description>
      <pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>We Tried to Spend Our Own Result</title>
      <link>https://awarenesssoftwaregroup.com/research/we-tried-to-spend-our-own-result/</link>
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      <description>The first time this project tried to use one of its findings to make training cheaper. The detector cost thirteen times what it saved.</description>
      <pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Which Side of the Moment</title>
      <link>https://awarenesssoftwaregroup.com/research/which-side-of-the-moment/</link>
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      <description>A grid separating model size, task difficulty and data-per-step. Its negative stands; its headline was withdrawn the same day by a follow-up that untied the confound this record named itself.</description>
      <pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Dial, Not a Switch</title>
      <link>https://awarenesssoftwaregroup.com/research/a-dial-not-a-switch/</link>
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      <description>We knew this internal change needs a model to be learning something. Now we know it scales with how much there is to learn, almost exactly.</description>
      <pubDate>Tue, 01 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. Scrambling which unit is which changes nothing, so what transfers is not specific to the donor.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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    <item>
      <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. It scores perfectly, and the network never catches it.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>A Task Battery With Designed Headroom</title>
      <link>https://awarenesssoftwaregroup.com/research/a-task-battery-with-designed-headroom/</link>
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      <description>Our quality checks all passed because the benchmark scored 99% and nothing could fail. Four candidate replacements, an acceptance rule fixed in advance, and two adoptions.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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      <title>A Yardstick That Does Not Stretch</title>
      <link>https://awarenesssoftwaregroup.com/research/a-yardstick-that-does-not-stretch/</link>
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      <description>We fixed the measuring instrument that had given us a false result the day before, using no new training at all. The repair also confirms the result stays withdrawn.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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      <title>An Average Is Not a Guarantee</title>
      <link>https://awarenesssoftwaregroup.com/research/an-average-is-not-a-guarantee/</link>
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      <description>Two warning signals that fire before a model learns, and why neither can be relied on for any particular training run. Also a correction to our own previous result.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
    </item>
    <item>
      <title>Being Choosy About Data Costs More Than It Saves</title>
      <link>https://awarenesssoftwaregroup.com/research/being-choosy-about-data-costs-more-than-it-saves/</link>
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      <description>Inspect four batches, train only on the most informative. It sounds efficient. Even given perfect information for free, choosing well beat choosing arbitrarily by half a step out of ninety-four.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Close Calls Are Decided by the Code</title>
      <link>https://awarenesssoftwaregroup.com/research/close-calls-are-decided-by-the-code/</link>
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      <description>Two hundred comparisons, each recomputed fourteen ways. When two groups are clearly apart nothing changes; when they nearly touch, one in six changes its answer.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Consolidation Is a Measurement-Frame Effect</title>
      <link>https://awarenesssoftwaregroup.com/research/consolidation-is-a-measurement-frame-effect/</link>
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      <description>Freezing the reference frame reverses a result we had reported for a year. The internal spread we thought was settling after learning is in fact still growing.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Depth Does Not Add Stages</title>
      <link>https://awarenesssoftwaregroup.com/research/depth-does-not-add-stages/</link>
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      <description>In a two-layer model the layers learn at almost the same moment, so training them on separate schedules has no basis. But the reorganisation we study nearly doubles in the deeper layer.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Does the Early Signal Generalise?</title>
      <link>https://awarenesssoftwaregroup.com/research/does-the-early-signal-generalise/</link>
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      <description>Two findings that looked independent turn out to have identical boundaries. The early-warning gap appears exactly where the internal reorganisation does.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
    </item>
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      <title>Does the Effect Survive the Optimizer?</title>
      <link>https://awarenesssoftwaregroup.com/research/does-the-effect-survive-the-optimizer/</link>
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      <description>Every result we had used one training algorithm. Changing it at matched steps-to-solve keeps the effect at full size and takes away its timing.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
    </item>
    <item>
      <title>Does the Transition Create Features, or Select Them?</title>
      <link>https://awarenesssoftwaregroup.com/research/does-the-transition-create-features/</link>
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      <description>Freezing a model&#x27;s memory at its random starting values and training only the two ends. It learns, slowly and partially, and never abruptly.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
    </item>
    <item>
      <title>Does the Warning Cry Wolf?</title>
      <link>https://awarenesssoftwaregroup.com/research/does-the-warning-cry-wolf/</link>
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      <description>Every reliability figure we have published was measured on runs that succeeded. This asks what our early warning does when nothing is coming.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Eight Runs Is Not Enough</title>
      <link>https://awarenesssoftwaregroup.com/research/eight-runs-is-not-enough/</link>
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      <description>A free experiment produced two statistically significant results pointing in opposite directions. Our first analysis reported one of them as a discovery. Three times the runs later, we have the real answer.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
    </item>
    <item>
      <title>Five Models Pay For One</title>
      <link>https://awarenesssoftwaregroup.com/research/five-models-pay-for-one/</link>
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      <description>Handing a trained model&#x27;s machinery to fresh ones saves real time, and we finally worked out what it costs. A donor pays for itself once about five models have used it, and a cheaper donor is better than a thorough one.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
    </item>
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      <title>Fourteen Copies of One Definition</title>
      <link>https://awarenesssoftwaregroup.com/research/fourteen-copies-of-one-definition/</link>
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      <description>Our archive holds fourteen separate implementations of the same measurement, copied across forty-one experiments. Run against each other on 1,091 committed runs, they agree - and the one that never drifts is the one anchored outside the run.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>How Many of Our Results Are Close Calls</title>
      <link>https://awarenesssoftwaregroup.com/research/how-many-of-our-results-are-close-calls/</link>
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      <description>One of our results was overturned just by running it more times. So we measured how close every other published result sits to the line that decides it.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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