[HN Gopher] GSoC'24: Differentiable Logic for Interactive System...
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GSoC'24: Differentiable Logic for Interactive Systems and
Generative Music
Author : jarmitage
Score : 54 points
Date : 2024-09-24 17:02 UTC (5 hours ago)
(HTM) web link (ijc8.me)
(TXT) w3m dump (ijc8.me)
| benob wrote:
| Difflogic should lead to very efficient hardware implementations
| of inference for a wide range of problems. But is it going to
| allow to generate the logical chains that elude current LLMs?
|
| --- edit ---
|
| After reading the paper more thoroughly, I find the way they
| implement differentiable logic clever. They use continuous
| relaxations of 16 logic operators, run them in parallel and apply
| a softmax to select the most useful operator. At inference time,
| everything is binarized.
| gwern wrote:
| The original cited paper https://arxiv.org/abs/2210.08277 "Deep
| Differentiable Logic Gate Networks" struck me then as very
| clever, ultra-efficient/small, hardly any inductive bias or
| prior... But you have to wonder if it's able to scale
| reasonably well. Differentiating continuous versions of 16
| discrete operations in parallel sounds expensive, especially
| since you presumably need a bunch of them chained in order to
| approximate a single neural primitive. Even distilling an
| existing LLM down might be too hard.
| pizza wrote:
| It's definitely slept on. I do think it ought to be very
| powerful given enough compute to throw at it, hopefully. I
| think short description length algorithms such as simple
| compression algorithms or instant-ngp could be interesting to
| play with through that paradigm.
| Archit3ch wrote:
| Most interesting! :D
|
| Logic gates implemented with non-ideal transistors have non-zero
| rise times. Therefore, they are smooth and differentiable.
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