Outstanding features:

- way better representation (very information-dense) of different basic language properties directly as a storage layout property (which seems absolutely possible to me to achieve)

- attention (signal) as resonance: analog wave signal processing methods can be used -> way less computation power needed

Analysis: It will have the same fundamental limitations in terms of "understanding" and "thinking" as traditional LLMs, as its "knowledge" is still based on language itself. I believe it would be implemented in combination with other models, which supply nuances of actual content – namely traditional LLMs, which are focussed on written text as it appears. Nevertheless, it should add a high-quality and high-efficient building block for language processing to the landscape of LLMs. Furthermore it may also be a nice starting point for a general development towards rethinking architecture patterns in favor of lower resource consumption and fine quality of any kind of information.

So lots of smaller inaccuracies together don't count as much as a single blunder.

Comments URL: https://news.ycombinator.com/item?id=37719720

Points: 1

# Comments: 1