Improving Language Models through Latent Reasoning?

Found this tweet online and wanted to see if anyone here had any opinions on it.

I'm an AI Researcher and have been exploring Latent Space Reasoning for a bit (mid-2024, really got into it when Meta published Coconut. This would check out in a few ways--

  1. The perfdormance mentioned here.

  2. The order-of-magnitude reduction when comparing Mythos and Opus 4.6 for BrowseComp.

  3. General discussions from researchers in the space.

I've personally done some research into it, and I think it will be the future of AI and reasoning models. Too many reasons for it not to be (especially if we create a unified reasoning plane that models can plug in and out of). Too many reasons for it not to be. Wanted to get your thoughts on it, espcially if anyone else has tried it.

Did a bunch of experiments on it here, incase anyone is interested (would love to hear your experiences with it as well)- https://github.com/dl1683/Latent-Space-Reasoning/tree/main

https://preview.redd.it/xjnre4ahupug1.png?width=1600&format=png&auto=webp&s=7efd92a67cbe52f70856557068378cccc32f8a11

submitted by /u/ISeeThings404
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