Comment on South Korea makes AI investment a top policy priority to support flagging growth
tiredofsametab@fedia.io 2 days agoAs a software engineer, hard disagree. There is no need for any AI in any of that. The device will have gone through various testing. If they wanted to implement this, they could use what they learnt in all the testing to set threshold values and run occasional diagnostics, all on-board with no internet, to know about such things. The only internet even required might be updates to those tables of values (or if a user wanted to opt in to sharing their data for whatever reason).
FauxLiving@lemmy.world 2 days ago
Computer vision to track inventory and expiration of food in a refrigerator could be useful for busy households. A dishwasher could cut its cycle short if it sees that dishes are clean, saving water and energy.
In addition, robots are home appliances that require AI. Robotic vacuum cleaners learn their surroundings and navigate using machine learning, so much so that ML textbooks commonly use them as teaching tools.
We’re also likely to see humanoid robots(or similarly flexible platforms) becoming household appliances in the near future.
It’s not unreasonable for countries to be investing in new technologies and AI is one of the more promising.
tiredofsametab@fedia.io 1 day ago
I don't think this is a problem in a lot of the world. Commercial kitchens already have rules and inventory management systems. The only thing I could think of where it might be useful is looking for mold on things, but I suspect most people are using containers into which something couldn't clearly see.
Maybe? It would still need to learn all the dishes the person has and what clean and nonclean versions are. That training and calling the model has its own environmental impacts and I don't know that implementing it would save energy over the life of the appliance due to the extra costs in energy to train and call it.
My washer has settings for heavier and lighter washes based on what's going in (as does my clothes washer)
They do not.
This could all be done with sensors and rules and, in fact, was. Unless we're being super loose with what "machine learning" means here. We've been teaching robots to semi-autonomously navigate courses and return for ages.
That's so gross to me personally that I don't want to think about it. Both from a security as well as environmental perspective. I also disagree that it's close, at least for how I think you're using "close" here.
FauxLiving@lemmy.world 1 day ago
They use sensor fusion, simultaneous localization and mapping (SLAM), path planning, reinforcement learning, computer vision, clustering and classification, and data analysis and feedback loops. All machine learning.
Neural networks are more efficient at computer vision than the old human-programmed methods and can be run on low performance hardware. Path planning and mapping could also be neural network based.
Both BYD and Tesla have announced humanoid robots for around $10k starting next year.
roboticsandautomationnews.com/2025/04/…/89605/
geeky-gadgets.com/tesla-optimus-2-humanoid-robot/
tiredofsametab@fedia.io 1 day ago
I can't speak to BYD, but Tesla has claimed all kinds of things that never materialize or are not what they claimed to be.
That aside, I don't think most people have $10k laying around. Most couldn't even afford a $1k expense (https://www.cbsnews.com/news/saving-money-emergency-expenses-2025/), so I don't think we'll be seeing any widespread adoption at that price in the near future (which is what I took your comment to mean, but maybe that's not what you meant).
For clarity, I'm not someone who's just anti-AI, I'm just someone who thinks it's way over-hyped, is being shoved in places it doesn't need to be (especially in a half-baked state), is an environmental disaster, and has many other problems.