It'll be kept within product marketing and, I dunno how, but it would absolutely be used to see what they can raise prices on

It's getting there. In the next few years as hardware gets better and models get more efficient we'll be able to run these systems entirely locally.

I'm already doing it, but I have some higher end hardware.

I can run a pretty alright text generation model and the stable diffusion models on my 2016 laptop with two GTX1080m cards. You can try with these tools: Oobabooga textgenUi

Automatic1111 image generation

They might not be the most performant applications but they are very easy to use.

But "AI" is the umbrella term for all of them. What you said is the equivalent of saying:

we really need to stop calling things "vehicles". There's cars, trucks, airplanes, submarines, and space shuttles and they've all been called vehicles, but functionally they have almost nothing to do with each other

All of the things you've mentioned are correctly referred to as AI, and since most people do not understand the nuances of neural networks vs hard coded algorithms (and anything in-between), AI is an acceptable term for something that demonstrates results that comes about from a computer "thinking" and making shaved intelligent decisions.

Btw, just about every image recognition system out there is a neural network itself or has a neural network in the processing chain.

Edit: fixed an autocorrect typo

I think you're fighting a losing battle.

AI = "magic", or like "synergy" and other buzzwords that will soon become bereft of all meaning as a result of people abusing it.

If capitalism brought me into this world, will it also take me out of it?

Cameras in your fridge and pantry to keep tabs on what you have, computer vision to take inventory, clustering to figure out which goods can be interchanged with which, language modeling applied to a web crawler to identify the best deals, and then some conventional code to aggregate the results into a shopping list

Unless you're assuming that you're gonna be supplied APIs to all the grocery stores which have an incentive to prevent this sort of thing from happening, and also assuming that the end user is willing, able, and reliable enough to scan every barcode of everything they buy

This app basically depends on all the best ai we already have except for image generation

That's already a thing, though it isn't AI driven. Many intersections have sensors that detect traffic and can change the lights quickly or let them stay green longer if you're approaching it. It's only getting more advanced as time goes on.

https://youtu.be/pTR3Cn5DnHY?si=nXtqHqVMsw47FmQZ

https://youtu.be/P_EmAKRrlBc?si=McCO_tE43FaPkRL9

Doesn't need AI, and there are countries that already have a system in place with the same result. Unsurprisingly the places with more focus on pedestrian, cyclist, and public transit infrastructure have the most enjoyable driving experience. All the people that don't want to drive will stop as soon as it is safe and convenient, and all those cars off the road also help with this because the lights will be queued up with fewer cars.

I mean, when that xkcd was made, that was a hard task. Now identifying a bird in a picture can be done in realtime on a raspberry pi in a weekend project.

The problem in the op isn't really a limitation of AI, it's coming up with an inventory management system that can detect low inventory without being obtrusive in a users life. The rest is just scraping local stores prices and compiling a list with some annealing algo that gets the best price to stops ratio.

Local models are a thing, and GPT is extremely useful in some cases, even with the corporate handholding. I find the whole space super exciting, personally.

As long as the AI has access to their ongoing purchase histories it's actually quite easy to have this for day to day situations.

Where it would have difficulty is unexpected spikes in grocery usage, such as hosting a non-annual party.

In theory, as long as it was fine tuned on aggregate histories it should be decent at identifying spikes (i.e. this person purchased 10x the normal amount of perishables this week, that typically is an outlier and they'll be back to 1x next week), but anticipating the spikes ahead of time is pretty much impossible.

Men want one thing and it’s fucking disgusting.

What is an "ai task"? Their task is anything we assign them to do.

I think it would be a perfect function for ai. It’s more than just determining what is/is not in the fridge. Compiling the grocery list and determining which store has the best price for the goods would be great but also the ai knowing the mode of transportation as well as the weather and time of day would be critical as well to determine if it is worth going to multiple stores or not.

Why are so many of you trivializing the fact that providing perfectly formatted input data that having set logic figure something out is a VERY different thing than providing a firehose of data and then asking the software to make sense of it? Like have you been paying attention here at all?