In addition to being able to run the exact same thing on that phone you already have, too.
Their device does not have any specific hardware for their usage. Even if Google and Apple don’t bring any improvement to their own solution, soon enough someone is bound to just provide an “assistant AI app” with a subscription, proxying openai requests and using the touchscreen, camera, micro and speaker that are already there instead of making you buy a new set of those.
Yes, there is. And yes, it would be huge. I know a lot of people that are staying away from all this as long as the privacy issues are not resolved (there are other issues, but at this point, the cat is out of the bag).
But running large models locally requires a ton of resource. It may become a reality in the future, but in the meantime allowing more, smaller provider to provide a service (and a self-hosted option, for corporation/enthusiasts) is way better in term of resources usage. And it’s already a thing; what needs work now is improving UI and integrations.
In fact, very far from the “impressive” world of generated text and pictures, using LLM and integrations (or whatever it is called) to create a sort of documentation index that you can query with natural language is a very interesting tool that can be useful for a lot of people, both individual and in corporate environment. And some projects are already looking that way.
I’m not holding my breath for portable, good, customized large models (if only for the economics of energy consumption) but moving away from “everything goes to a third party service provider” is a great goal.
In addition to being able to run the exact same thing on that phone you already have, too.
Their device does not have any specific hardware for their usage. Even if Google and Apple don’t bring any improvement to their own solution, soon enough someone is bound to just provide an “assistant AI app” with a subscription, proxying openai requests and using the touchscreen, camera, micro and speaker that are already there instead of making you buy a new set of those.
The “AI” in the R1 is utter shit. Wired eviscerated it in a review.
https://www.wired.com/review/rabbit-r1/
It is somewhat OK considering it’s a free app.
You could say the same about Siri, which is also utter shit.
And yet, for both you are supposed to pay for an overpriced device. You can at least pirate the R1 app.
I think there may be a market for an LMM that is executed locally and privately incorporates personal data.
Yes, there is. And yes, it would be huge. I know a lot of people that are staying away from all this as long as the privacy issues are not resolved (there are other issues, but at this point, the cat is out of the bag).
But running large models locally requires a ton of resource. It may become a reality in the future, but in the meantime allowing more, smaller provider to provide a service (and a self-hosted option, for corporation/enthusiasts) is way better in term of resources usage. And it’s already a thing; what needs work now is improving UI and integrations.
In fact, very far from the “impressive” world of generated text and pictures, using LLM and integrations (or whatever it is called) to create a sort of documentation index that you can query with natural language is a very interesting tool that can be useful for a lot of people, both individual and in corporate environment. And some projects are already looking that way.
I’m not holding my breath for portable, good, customized large models (if only for the economics of energy consumption) but moving away from “everything goes to a third party service provider” is a great goal.