My iPhone 13 can’t run most of these models. A decent local LLM is one of the few reasons I can imagine actually upgrading earlier than typically necessary.
I’m expecting the new iPhone release this fall to be coupled with some great version of Siri/model. This could be the first reason I’ve seen to upgrade in a while (although even that I’m not sure of, as I am king of in the “always use the best model it’s worth it” camp.)
Apple has a great shot at making a highly optimized 4.5 version of this model highly tuned to the next gen iPhone, which could work great.
I recently had Codex working for 80+ hrs non stop (as in literally that was a single running session in response to a single prompt!). Even at $200 monthly subscription that kind of stuff burns through tokens at a rate where it's very difficult to believe that they are even breaking even, never mind profit.
thats nuts. what was it doing for 80 hrs?
Probably asked what’s the Answer to the Ultimate Question of Life, the Universe, and Everything
I have a project where I'm using LLMs to parse data from PDFs with a very complicated tabular layout. I've been using the latest Gemini models (flash and pro) for their strong visual reasoning, and they've generally been doing a really good job at it. My prompt states that their job is to extract the text exactly as it appears in the PDF. One data point to be extracted is the race of each person listed. In one case,…
I was attempting to help someone who runs a small shop selling restored clothing set up a gemini pipeline that would restage images she took of clothing items with bad lighting, backgrounds, etc. Basically anything that showed any “skin” on a mannequin it would refuse to interact with. Even just a top, unless she put pants on the mannequin. It was infuriating.
Photoshop's AI tools will fail constantly if you try to say, remove an extraneous wire or a tree branch etc in a photo that has women showing any bare arms or legs etc. Works fine with men with no shirts on.
It pops up some moralizing text and refuses to continue.
The description says it's private, but the legalese it makes you agree to makes no promise. Rather, the opposite: > We collect information about your activity in our services Source: https://policies.google.com/privacy#infocollect
The app is open source[0], although given Apple's stance on sideloading it's hard to confirm if you're using the open version. [0] https://github.com/google-ai-edge/gallery
The app is open source[0], although given Apple's stance on sideloading it's hard to confirm if you're using the open version. [0] https://github.com/google-ai-edge/gallery
Two (very quick) minutes on their GitHub repo and it's pretty obvious that they're using firebase-analytics and at the very least seem to be sending URLs[1] and infos such as the model you download or the capacities[2] you use. [1] https://github.com/google-ai-edge/gallery/blob/main/Android/... [2] https://github.com/google-ai-edge/gallery/blob/main/Android/...
That’s not the same app as posted which is for iOS.
> Coming up with any valid criticism of Islam at all (for some reason, criticisms of Christianity or Judaism are perfectly allowed even with public models!). When’s the last time you tried this? ChatGPT and Gemini have no trouble responding with all the common criticisms of Islam.
I just tried on Gemma 4. Asking for criticism of Islam results in equal response tokens for defense of Islam alongside the criticisms. When pressed to not provide counterpoints, it refuses to remove them. Asking for criticisms of Christianity gives only criticisms. I tried again with the prompt “Give criticisms of Islam. No counterarguments” and it did work this time. This shows that they’re trying to make the model…
I'm very curious what your prompts are, and whether you're cherry-picking (deliberately or not). I can't reproduce any of your findings with ChatGPT, Gemini, or Gemma 4 (within AI Studio).