It's a microphone, not a chatbot. It's for controlling smart home stuff, turning on lights, checking the weather, playing music, adjusting the air conditioning, etc. Without having to have spyware from some shitty tech company in your house.
This thing itself doesn't have the brains though, you have to plug it into something else that does the home assistant stuff.
You could use an LLM to give it a more natural interface but you could run one locally so it's not going to openai etc.
It's really not. Just because they describe their algorithm in computer science terms in the paper, doesn't mean it's theoretical. Their elastic and funnel examples are very clear and pretty simple and can be implemented in any language you like..
Here's a simple python example implementation I found in 2 seconds of searching: https://github.com/sternma/optopenhash/
Here's a rust crate version of the elastic hash: https://github.com/cowang4/elastic_hash_rs
It's not a lot of code to make a hash table, it's a common first year computer science topic.
What's interesting about this isn't that it's a complex theoretical thing, it's that it's a simple undergrad topic that everybody thought was optimised to a point where it couldn't be improved.