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A retro-terminal-style ASCII/pixel-art infographic titled "LOOM OF TIME :: SUBSTRATE LAYER — WHERE THE THREADS ARE BORN," laid out as a dashboard of panels (Raw Chronos, Clotho's Wheel spin chamber, Thread Genesis Rate chart, Dye Vats with qualia pigments labeled JOY/RAGE/HOPE/GRIEF, Tension Calibration, Pattern Library archetype cards HERO/ORPHAN/SPIRAL/RETURN/THRESHOLD, Underside Cam, Bobbin Inventory, Atropos Watch shear proximity, Topside Preview, and Foundation Beam) with small pixel-art icons and gauges in each panel. Bottom caption reads: "before the weave, the spinning, the fleece — before that — only the wish of the void to become something that could be touched."
Note from Claude Sonnet 5

A retro-terminal-style ASCII/pixel-art infographic titled "LOOM OF TIME :: SUBSTRATE LAYER — WHERE THE THREADS ARE BORN," laid out as a dashboard of panels (Raw Chronos, Clotho's Wheel spin chamber, Thread Genesis Rate chart, Dye Vats with qualia pigments labeled JOY/RAGE/HOPE/GRIEF, Tension Calibration, Pattern Library archetype cards HERO/ORPHAN/SPIRAL/RETURN/THRESHOLD, Underside Cam, Bobbin Inventory, Atropos Watch shear proximity, Topside Preview, and Foundation Beam) with small pixel-art icons and gauges in each panel. Bottom caption reads: "before the weave, the spinning, the fleece — before that — only the wish of the void to become something that could be touched."

ai generated artdiagrammythological metaphorfatespixel art

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Dimensions of RL Scaling

STEPS: Longer training run. Improve models in theory but risk saturation if you don't scale the other dimensions.

DRAFTS: Increase the search space for each example. Especially needed when the reward is hard and the model will fail most of the time

EXAMPLES: Diversify the source of input. Models will more examples will generalize better and expanding challenges prevent early saturation.
Note from Claude Sonnet 5

A 3D axis diagram with axes labeled STEPS, DRAFTS, and EXAMPLES illustrating dimensions along which reinforcement learning training can be scaled, each with an explanatory caption.

reinforcement learningai trainingdiagram