Just imagine if we brought the efficiency of the insurance that tries to keep you from getting healthcare to the systems that want to give you healthcare but are grossly underfunded, like medicare or the VA! Why, we could ensure that almost no one gets a covered doctor's visit while doubling prices.
The only part they won't gut is the part that mandates that everyone must have insurance.
Nothing better than being legally required to pay for a service that exists to fight to provide no value to you whatsoever in return for the money.
ricecake
joined 2 years ago
Cool story bro. Keep being angry about the meaning of words I guess, if it makes you happy.
Fair enough. You'd be surprised how many people don't know you need clean them occasionally and think it's normal for stuff to go terribly wrong really quickly. :)
I got a new washer relatively recently and it's quiet enough that it's not really audible from the next room unless you tell it to do a really aggressive spin cycle with a big load.
In any case, I think the point of the timed wash features are to make it so your laundry finishes Right when you get home rather than overnight.
Yeah, I know how it works, and I also know how different types of AI work.
It's a field from the 50s concerned with making systems that perceive their environment and change how they execute their tasks based on those perceptions to maximize the fulfillment of their task.
Yes, all modern laundry machines utilize AI techniques involving interpolation of sensor readings into a lookup table to pick wash parameters more intelligently.
You've let sci-fi notions of what AI is get you mad at a marketing department for realizing that we're back to being able to label AI stuff correctly.
I love it when people angrily declare that something AI researchers figured out in the 60s can't be AI because it involves algorithms.
Using an algorithm to take a set of continuous input variables and map them to a set of continuous output variables in a way that maximizes result quality is an AI algorithm, even if it's using a precomputed lookup table.
AI has been a field since the 1950s. Not every technique for measuring the environment and acting on it needs to be some advanced deep learning model for it to be a product of AI research.
A notification that your load is done is actually convenient. It's typically also paired with some sensors that can let you know if you need more detergent or to run a cleaning cycle on the washer.
Mine also lets you set the wash parameters via the app if you want, which is helpful for people who benefit from the accessibility features of the phone. Difficult to adjust the font size or contrast on a washing machine, or hear it's chime if you have hearing problems.
Everything else aside, you need to clean your washing machine. Cloths shouldn't be smelling like mildew after less than a day in it.
Modern washing machines are also pretty quiet.
Good for you. You might also be interested in this tool called a "washtub" that lets you do everything exactly how you want, without needing to trust a computer to interpret the positions of fancy dials and figure out how much to agitate your socks.
You can't see a benefit to a washing machine that can wash clothes without you needing to figure out how much soap to add or how many rinse cycles it needs?
I genuinely pity anyone so influenced by marketing that they can't look at what a feature actually does before deciding they hate it.
Well that's sort of my point. It's an algorithm, or set of techniques for making one, that's been around since the 50s. Being around for a long time doesn't make it not part of the field of AI.
The field of AI has a long history of the fruits of their research being called "not AI" as soon as it finds practical applications.
The system is taking measurements of its problem area. It's then altering its behavior to produce a more optimal result given those measurements. That's what intelligence is. It's far from the most clever intelligence, and it doesn't engage in reason or have the ability to learn.
In the last iteration of the AI marketing cycle companies explicitly stopped calling things AI even when it was. Much like how in the next 5-10 years or so we won't label anything from this generation "AI", even if something is explicitly using the techniques in a manner that makes sense.
Wouldn't you know, AI has also been algorithmically based and around since the 1950s?
AI as a field isn't just neural networks and GPUs invented in the last decade. It includes a lot of stuff we now consider pretty commonplace.
Using some simple variables to measure a few continuous values to make decisions about soap quantity, water to dispense, and the number of rinse cycles is pretty much a text book example of classical AI. Environmental perception and changing actions to maximize the quality of its task outcome.
I mean, no, it isn't. It is a marketing decision after all.
That doesn't mean that type of thing isn't the product of AI research.