A new Feature Drop brings new updates to make your hardware more helpful, productive and personalized. Plus, Gemini Nano now powers on-device generative AI features for Pixel 8 Pro.
If we were inventing new terms, defining AI that way would be fine.
But we're not defining a new term, and most people have a very different definition in mind. Using words to mean something completely different from what other people assume only leads to confusion.
I've spent a lot of time in my career around people working on machine learning, and I've never seen the IEEE definition of AI before you brought it up.
Going by your definition, "people who work with AI" just means people who work with computers in some capacity. I assure you the vast majority do not use the IEEE definition or even know about it.
No, that might be accurate for what they are talking about. The absolute smallest Generative AI models (that are generally useful) are starting to shrink but are still several GB in size. Doing this on device is actually new.
Gemini Nano now powers on-device generative AI features for Pixel 8 Pro
Technically auto complete can be considered Gen AI, but it obviously lacks the creativity that we all associate with Gen AI today. You don't need a model that is generally useful to do auto complete.
The point is it didn't take a generally useful Gen AI model to do auto complete before but Google is now shipping features (beyond auto complete) that use such a model. Gen AI on device is novel.
I was talking about the title, not the 10th paragraph way down. Use your reading skills and tell me where the fuck "generative" is in the title.
No. Autocomplete is a feature. The model behind it can be gen AI and was for a number of years. IDGAF if it's not general purpose.
The point it you have no fucking clue what you're defending. LLMs and diffusion models have been in apps for months. You can say that General purpose LLMs embedded into mobile OS functions is novel, the rest of it is bullshit.
LLMs and diffusion models have been in apps for months.
Show me a single example of an app that has an LLM on device. Find a single one that isn't making an API call to a powerful server running the LLM. Show me the app update that adds a multi gigabyte LLM into the device. I'll wait...
Feel free to not respond when you realize you are wrong and you have no clue what everyone else is talking about.
MLC LLM does the exact same thing. Lots of apps have low quality LLMs embedded in chat apps. Low res image generation apps via diffusion models similar to DallE mini have been around a while.
Who said about production and non-garbage? We're not talking quality of responses or spread. You can use distilled roberta for all I give a fuck. We're talking if they're the first. They're not.
Are they the first to embed a LLM in an OS? Yes. A model with over x Bn params? Maybe, probably.
But they ARE NOT the first to deploy gen AI on mobile.
You're just moving the goal posts. I ran an LLM on device in an Android app I built a month ago. Does that make me first to do it? No. They are the first to production with an actual product.