Lab · c24.s03.L1
The scaling-law curve
Scaling is a power law with diminishing returns: every tenfold increase in compute multiplies the removable loss by the same factor, 0.708, however far the curve runs.
Question: What happens when you multiply data, parameters and compute?
Frame 1 of 1: 10^22 FLOPs, above the floor1.00 × 10^22 FLOPs: 9.129B parameters and 182.6B training tokens. Removable loss is 0.336 of the total 2.04; the fixed floor 1.70 is subtracted on this view. One decade on, at 1.00 × 10^23, the removable loss is 0.238, a factor of 0.708 and a 0.098 drop in total loss. Gold rungs mark the removable loss at every decade; the marker sits at the current budget.
10^22 FLOPs, above the floor. 1.00 × 10^22 FLOPs: 9.129B parameters and 182.6B training tokens. Removable loss is 0.336 of the total 2.04; the fixed floor 1.70 is subtracted on this view. One decade on, at 1.00 × 10^23, the removable loss is 0.238, a factor of 0.708 and a 0.098 drop in total loss. Gold rungs mark the removable loss at every decade; the marker sits at the current budget.
Keyboard: Space plays or pauses, Left and Right step, Home goes to the first frame, End goes to the last frame.
Text description of this lab
A log–log plot on paper: one navy curve falls from removable loss 1.336 at 10^18 FLOPs to 0.119 at 10^25. A russet marker at 1.00 × 10^22 reads 9.129B parameters, 182.6B tokens and removable loss 0.336 of total 2.04. Gold rungs mark each decade; every one multiplies the removable part by 0.708, a 29.2% cut, while counts grow ×3.162. A second view adds the fixed 1.70 floor.
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