Let’s examine the math heatmap first. Starting at any layer, and stopping before about layer 60 seem to improves the math guesstimate scores, as shown by the large region with a healthy red blush. Duplicating just the very first layers (the tiny triangle in the top left), messes things up, as does repeating pretty much any of the last 20 layers (the vertical wall of blue on the right). This is more clearly visualised in a skyline plot (averaged rows or columns), and we can see for the maths guesstimates, the starting position of the duplication matters much less. So, the hypothesis that ‘starting layers’ encode tokens, to a smooth ‘thinking space’, and then finally a dedicated ‘re-encoding’ system seem to be somewhat validated.
Famously, the double pendulum illustrates this phenomenon well. A simple pendulum is completely understood, yet a double pendulum is a chaotic system where even with knowledge of its starting position to ten decimal places, the best models will fail in the end.
。关于这个话题,wps提供了深入分析
另一个潜在的好处是,在旧的技术路径下,豆包手机助手非常依赖手机厂商的合作。但如果转向“手机养虾”,那么它对于硬件适配的需求就会减少,甚至不需要看手机厂商的脸色了。,这一点在谷歌中也有详细论述
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