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Joined 3 years ago
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Cake day: June 21st, 2023

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  • Not sure whether the goalpost is set to LLMs or ML in general, but OP clearly is drawing the line at LLMs, so:

    Toaster - it can determine the heat and duration needed for the bread/bagel based on the thickness and density, without needing to manually guess the settings

    This is already done with traditional models in rice cookers, pressure cookers, and so on. It doesn’t need LLMs.

    Fridge - aware of the contents so it can set the thermostat at the ideal temperature range, even better if it’s in control of internal flaps to automatically compartmentalize the contents for optimal storage

    Some smart fridges have tracked their contents for years now and sell that data to advertisers.

    Toothbrush - able to scan your teeth while you better and inform you if your brushing was adequate or if you missed any plaque, on which teeth, and warn you of developing cavities

    I know there’s some crazy toothbrushes out there, but the closest equivalent I know of is my shaver which actually does give recommendations on how to shave better. Or it would, anyway, if I linked it to a mobile app that’s never going to touch my phone. I got this shaver around 5y ago, again predating LLMs.

    Bedside light - aware of if you’re in the bed, and whether you’re attempting to go to sleep, or are asleep, based on preferences and rules you give it beforehand, in plain language

    The last thing I want is for my bedside lamp to have a camera and perform object detection in my bedroom just to turn off automatically when I get in bed lol. Plus, I usually don’t want the light off as soon as I’m in bed. In any case, traditional models could do this, but multi-modal LLMs tend to perform better.








  • You:

    So why is more pollution from subject A acceptable, but less from subject B isn’t?

    My response (in response to another comment):

    It being drowned out by the advocacy against AI doesn’t mean those voices disappeared, just that there are louder voices now.

    You, with the nihilistic doomerism take:

    By virtue of even posting, YOU are pushing datacenter demand.

    Me, responding to the subject:

    people are upset about all the evils. Being more or less upset about one or the other is irrelevant. You’re just choosing to cherry pick one thing that everyone who’s upset should ignore.

    What was that about comment history?

    Anyway, in response to this:

    What matters (at least now) is the number of services it provides.

    If you’re looking for things to improve, then you prioritise the places where improvement will have the most effect.

    Anyway, if we want to reduce the environmental argument down as much as you are, then we might as well eliminate nearly all life on earth because living creatures produce emissions and consume water. Point is, your counterargument is complete nonsense and reductionist.

    People can be upset by multiple things at once despite your best attempts to argue otherwise.



  • By virtue of even posting, YOU are pushing datacenter demand. These comments don’t just live in the ether.

    I write software for a living. There’s an enormous difference between a text-based service that functionally runs as a primitive CRUD and a compute-heavy service like LLM inferencing. The latter runs on servers that individually consume multiple kilowatts while the former can run on a raspberry pi but gains efficiency by sharing a server that consumes maybe 1kW with dozens of other people. Heck, Lemmy doesn’t even need to do video transcoding like all the toxic social media sites do.

    The point being you are MORE upset about the lesser evil, not that one is justified evil and the other isn’t.

    No, people are upset about all the evils. Being more or less upset about one or the other is irrelevant. You’re just choosing to cherry pick one thing that everyone who’s upset should ignore.