BB84

u/BB84@mander.xyz
24 posts · 221 comments

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My oversimplified and possibly wrong understanding: this is like speculative decoding, but instead of a separate draft model (which does its own prompt processing), they use some diffusion thing strapped on top of the main model. The diffusion reuses the high-quality prompt processing result of the main model.

The 7.8x faster claim sounds almost too good to be true. But even if we get like 3x then this is still a huge revolution in localLLMing.

on gas powered rule · c/onehundredninetysix · 94 pts · 114d

1.5 hours runtime for like half a liter of gasoline?? That's unbelievably inefficient. A half-liter of gasoline is like 15MJ, should power a laptop drawing 30W for a week.

Maybe it would be better with a fuel cell.

How does the crosspost listing on Lemmy work?

The original post (just 10 minutes earlier) is here but is not shown in the list of crossposts for this post. Why?

This is great! The value of having your computational pipeline nicely debuggable and visualizable cannot be overstated.

The float32 limitation sounds a bit arbitrary. Would be cool if blender allows float64 in geo nodes in the future.

My not very confident guess is that it's just to label what kind of galaxies are observed by the instrument at that range. Really not sure about the less dense ring in the outer part though.

the latter. the map looks different further away from the center of the circle because further away = earlier time. if they attempted to compensate for how things far away have changed since the light was emitted, the map would look uniform.