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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>Tue, 25 Aug 2026 22:00:20 +0000</lastBuildDate>
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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, 25 Aug 2026 00:00:00 +0000</pubDate>
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      <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, 25 Aug 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, 25 Aug 2026 00:00:00 +0000</pubDate>
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      <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, 25 Aug 2026 00:00:00 +0000</pubDate>
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      <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, 25 Aug 2026 00:00:00 +0000</pubDate>
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      <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, 25 Aug 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, 25 Aug 2026 00:00:00 +0000</pubDate>
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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, 25 Aug 2026 00:00:00 +0000</pubDate>
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    <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, 25 Aug 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, 25 Aug 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, 25 Aug 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>How You Cut a Model Matters, Not Just How Much</title>
      <link>https://awarenesssoftwaregroup.com/research/how-you-cut-a-model-matters/</link>
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      <description>Delete three quarters of a model&#x27;s internal connections two different ways, keeping exactly the same number, and one way costs twice as much as the other.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Is Learning a Lucky Accident?</title>
      <link>https://awarenesssoftwaregroup.com/research/is-learning-a-lucky-accident/</link>
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      <description>Testing whether sudden learning is randomness knocking a model out of a rut. Injected noise makes the plateau longer and the transition blurrier, so randomness is friction rather than fuel.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Is Transition Timing Controllable?</title>
      <link>https://awarenesssoftwaregroup.com/research/is-transition-timing-controllable/</link>
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      <description>A nudge of one part in a hundred million delays learning by 21 steps. A nudge ten million times larger delays it by 24. There is no dial, and this closed a research line.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>It Is Not How Much You Remove</title>
      <link>https://awarenesssoftwaregroup.com/research/it-is-not-how-much-you-remove/</link>
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      <description>Removing one direction from a model&#x27;s training signal at the right moment causes most of the damage that stopping the whole component does. Removing three times as much at the wrong moment causes a third as much.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Latent Knowledge Before Behaviour</title>
      <link>https://awarenesssoftwaregroup.com/research/latent-knowledge-before-behaviour/</link>
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      <description>The answer is linearly readable from a model&#x27;s internal state about 23 steps before the model can produce it. An earlier version of the same experiment reported the opposite.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Learning It Again Is Not Like Learning It</title>
      <link>https://awarenesssoftwaregroup.com/research/learning-it-again-is-not-like-learning-it/</link>
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      <description>We changed the task underneath a trained model and watched it learn again. It did, but the internal signature we have been studying was about a sixth the size the second time.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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      <title>No Part of the Model Is Special</title>
      <link>https://awarenesssoftwaregroup.com/research/no-part-of-the-model-is-special/</link>
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      <description>We cut a model&#x27;s memory into separate compartments to see whether the effect we study concentrates in one of them. It does not, at any split we tried, which closes a line of work we had been holding open.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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      <title>One Jump, or Several?</title>
      <link>https://awarenesssoftwaregroup.com/research/one-jump-or-several/</link>
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      <description>Averaging accuracy across positions hid four separate events. The model learns a repeating pattern one element at a time, in order, and the order repeats across runs.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Our Early Warning Gets Worse as Models Grow</title>
      <link>https://awarenesssoftwaregroup.com/research/our-early-warning-gets-worse-as-models-grow/</link>
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      <description>The one genuinely useful instrument we have built stops being useful in bigger models, and not for the reason anyone would guess.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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    <item>
      <title>Predicting When a Model Will Learn</title>
      <link>https://awarenesssoftwaregroup.com/research/predicting-when-a-model-will-learn/</link>
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      <description>A map of when models learn across ordinary training settings, and a warning signal that fires before it happens. The signal costs nothing to compute, and it passes the control that killed our last candidate.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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      <title>Representation Geometry Is Not Load-Bearing</title>
      <link>https://awarenesssoftwaregroup.com/research/representation-geometry-is-not-load-bearing/</link>
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      <description>The white paper closing our first research programme. Reshaping a model&#x27;s internal coordinates costs almost nothing at every width, difficulty and strength we tested, and the reason generalises.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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      <title>We Ran It Six Times, Then Twenty-Four</title>
      <link>https://awarenesssoftwaregroup.com/research/six-identical-runs-two-answers/</link>
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      <description>Six runs told us two things. Eighteen more runs reversed both of them, in opposite directions. This is the corrected version and the original, side by side.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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      <title>The Archive as an Instrument</title>
      <link>https://awarenesssoftwaregroup.com/research/the-archive-as-an-instrument/</link>
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      <description>Building one loader for 183 committed experiments, and the two analyses it makes free: whether learning timing predicts outcome, and whether it can be predicted from settings.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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      <title>The Check We Should Have Run First</title>
      <link>https://awarenesssoftwaregroup.com/research/the-check-we-should-have-run-first/</link>
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      <description>Thirty-three experiments about what happens inside a model when it learns, and not one of them had checked what happens inside a model that learns nothing.</description>
      <pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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