Isn't this already possible in a much more open-ended way with PocketPal?
https://github.com/a-ghorbani/pocketpal-ai
https://apps.apple.com/us/app/pocketpal-ai/id6502579498
https://play.google.com/store/apps/details?id=com.pocketpala...
Gemma 4 on iPhone
41–50 of 267 posts
Re: Gemma 4 on iPhone
#42OP Here. It is my firm belief that the only realistic use of AI in the future is either locally on-device for almost free, or in the cloud but way more expensive then it is today. The latter option will only bemusedly for tasks that humans are more expensive or much slower in. This Gemma 4 model gives me hope for a future Siri or other with iPhone and macOS integration, “Her” (as in the movie) style.
Did you really watch “Her” and think this is a future that should happen?? Seriously????
I don’t think OP’s point has anything to do with AI companions.
The big benefit of moving compute to edge devices is to distribute the inference load on the grid. Powering and cooling phones is a lot easier than powering and cooling a datacenter
Re: Gemma 4 on iPhone
#43OP Here. It is my firm belief that the only realistic use of AI in the future is either locally on-device for almost free, or in the cloud but way more expensive then it is today. The latter option will only bemusedly for tasks that humans are more expensive or much slower in. This Gemma 4 model gives me hope for a future Siri or other with iPhone and macOS integration, “Her” (as in the movie) style.
Did you really watch “Her” and think this is a future that should happen?? Seriously????
Torment Nexus sounds fun
Re: Gemma 4 on iPhone
#44OP Here. It is my firm belief that the only realistic use of AI in the future is either locally on-device for almost free, or in the cloud but way more expensive then it is today. The latter option will only bemusedly for tasks that humans are more expensive or much slower in. This Gemma 4 model gives me hope for a future Siri or other with iPhone and macOS integration, “Her” (as in the movie) style.
> or in the cloud but way more expensive then it is today.
Why? It's widely understood that the big players are making profit on inference. The only reason they still have losses is because training is so expensive, but you need to do that no matter whether the models are running in the cloud or on your device.
If you think about it, it's always going to be cheaper and more energy-efficient to have dedicated cloud hardware to run models. Running them on your phone, even if possible, is just going to suck up your battery life.
Re: Gemma 4 on iPhone
#45How do these compare to Apple's Foundation Models, btw?
So much better. Hard to quantify, but even the small Gemma 4 models have that feels-like-ChatGPT magic that Apple's models are lacking.
Re: Gemma 4 on iPhone
#46OP Here. It is my firm belief that the only realistic use of AI in the future is either locally on-device for almost free, or in the cloud but way more expensive then it is today. The latter option will only bemusedly for tasks that humans are more expensive or much slower in. This Gemma 4 model gives me hope for a future Siri or other with iPhone and macOS integration, “Her” (as in the movie) style.
> or in the cloud but way more expensive then it is today. Why? It's widely understood that the big players are making profit on inference. The only reason they still have losses is because training is so expensive, but you need to do that no matter whether the models are running in the cloud or on your device. If you think about it, it's always going to be cheaper and more energy-efficient to have dedicated cloud ha…
> It's widely understood that the big players are making profit on inference.
Are they? Or are they just saying that to make their offerings more attractive to investors?
Plus I think most people using agents for coding are using subscriptions which they are definitely not profitable in.
Locally running models that are snappy and mostly as capable as current sota models would be a dream. No internet connection required, no payment plans or relying on a third party provider to do your job. No privacy concerns. Etc etc.
Re: Gemma 4 on iPhone
#47Impressive model, for sure. I've been running it on my Mac, now I get to have it locally in my iPhone? I need to test this. Wait, it does agent skills and mobile actions, all local to the phone? Whaaaat? (Have to check out later! Anyone have any tips yet?) I don't normally do the whole "abliterated" thing (dealignment) but after discovering https://github.com/p-e-w/heretic , I was too tempted to try it with this mode…
I tried it on my mac, for coding, and I wasn't really impressed compared to Qwen.
I guess there are things it's better at?
Re: Gemma 4 on iPhone
#48How do these compare to Apple's Foundation Models, btw?
AFM had a 4096 token context window and this can be configured to have a 32k+ token context window, for one.
Re: Gemma 4 on iPhone
#49This app is cool and it showcases some use cases, but it still undersells what the E2B model can do. I just made a real-time AI (audio/video in, voice out) on an M3 Pro with Gemma E2B. I posted it on /r/LocalLLaMA a few hours ago and it's gaining some traction [0]. Here's the repo [1] I'm running it on a Macbook instead of an iPhone, but based on the benchmark here [2], you should be able to run the same thing on an…
Parlor is so cool, especially since you’re offering it for free. And a great use case for local LLMs.
Re: Gemma 4 on iPhone
#50I recently got to a first practical use of it. I was on a plane, filling landing card (what a silly thing these are). I looked up my hotel address using qwen model on my iPhone 16 Pro. It was accurate. I was quite impressed.
After some back and forth the chat app started to crash tho, so YMMV.