I first saw this implementation from a Harvard paper back when LLM's were still just a novelty[0]. Glad to see they got their demo site back up. Always thought it was a cool idea.
I wish I'd heard about it when it was first published, it is super cool! Especially the timeline, given that it predates things like ts_zip/LLMZip (which is why I figured someone had already worked on something in the area), while being fundamentally the same mechanism. Makes sense why compression ended up being a more compelling use case though.
Comments
I first saw this implementation from a Harvard paper back when LLM's were still just a novelty[0]. Glad to see they got their demo site back up. Always thought it was a cool idea.
[0] https://github.com/harvardnlp/NeuralSteganography
I wish I'd heard about it when it was first published, it is super cool! Especially the timeline, given that it predates things like ts_zip/LLMZip (which is why I figured someone had already worked on something in the area), while being fundamentally the same mechanism. Makes sense why compression ended up being a more compelling use case though.