Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Show HN: EchoStream – A Local AI Agent That Lives on Your iPhone

news.ycombinator.com

Post reply on HN
Print view View original

21–30 of 31 posts

Re: Show HN: EchoStream – A Local AI Agent That Lives on Your iPhone

#22

Post by shuhongwu »

noyesno wrote: post #16
shuhongwu wrote: post #12

Earlier quoted context omitted.

We're currently only available on the App Store in the US while we're in early development. You could try the TestFlight version if you're interested in testing it out - that should work in more regions.

Where is the TestFlight link?

Here:https://testflight.apple.com/join/x18p4hz7

Better have an iPhone with RAM > 4GB

Re: Show HN: EchoStream – A Local AI Agent That Lives on Your iPhone

#24

Post by shuhongwu »

sunnybeetroot wrote: post #19

Why make it not available in all regions?

We're still developing this product for tech leaders and startup founders. We're also working on AI products for edge devices. Expanding to other regions would create too much pressure.

Re: Show HN: EchoStream – A Local AI Agent That Lives on Your iPhone

#26

Post by shuhongwu »

ada1981 wrote: post #25

Do you have any insight / resources into developing a local AI? I have a novel use case as a wilderness first responder and am looking for a pathway.

1. llama.cpp can run on both Android and iOS devices. 2. For non-transformer models, Mamba and RWKV are also good options. 3. Additionally, you should have a better understanding of embeddings, tokens, and the structure of transformers.

And on Apple Silicon chips, MLX is preferred and is often the best choice.

Re: Show HN: EchoStream – A Local AI Agent That Lives on Your iPhone

#28

Post by ada1981 »

shuhongwu wrote: post #26
ada1981 wrote: post #25

Do you have any insight / resources into developing a local AI? I have a novel use case as a wilderness first responder and am looking for a pathway.

1. llama.cpp can run on both Android and iOS devices. 2. For non-transformer models, Mamba and RWKV are also good options. 3. Additionally, you should have a better understanding of embeddings, tokens, and the structure of transformers. And on Apple Silicon chips, MLX is preferred and is often the best choice.

Thanks!

I’m trying to create something that will run online when connected, run local when offline, and dynamically download relevant files to prepare for offline use.

Post reply on HN