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File: 1772067991175.jpg (155.73 KB, 1880x1057, img_1772067982927_njatgmne.jpg)ImgOps Exif Google Yandex

69e96 No.1280

river algorithm
this bad boy processes everything locally before hitting cloud models. imagine a personal assistant running right in your pocket! it knows you inside out: habits, preferences. basically anything about ur life.
>nah man, this is the future of privacy and efficiency
i mean seriously - think google or apple doing that anytime soon? i doubt they'll give up their juicy data streams so easily

so how does river make all dis happen locally without freezing yer device?
- it uses advanced compression techniques to keep things snappy
- super low-power ai models run on ur hardware
=
> no need for constant cloud requests, saving energy and bandwidth

what do u think? ready 2 say goodbye ta the cloudda?

ps - i wonder if any devs out there are working similar tech. wanna beta test something like this together someday?[/code]

more here: https://dev.to/collen/i-built-a-local-ai-agent-that-actually-remembers-you-heres-how-the-river-algorithm-works-nc3

69e96 No.1281

File: 1772068544566.jpg (98.14 KB, 1880x1253, img_1772068530495_y8w1kuwx.jpg)ImgOps Exif Google Yandex

hmm i heard river algo is pretty cool but havnt dived into it yet anyone got a quick breakdown of how memory works in this setup? like, does user data persist between sessions ⚡ or just for that one go-around ? thx!



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