AI needs to stop
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I'm so glad I switched to just home assistant and zigbee devices, and my radiators are dumb, so I could replace them with zigbee ones. Fuck making everything "smart" a subscription
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[email protected]replied to [email protected] last edited by
Objection! Your statement is devastating to my case!
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[email protected]replied to [email protected] last edited by
Copyright is actually very important, especially to independent authors, photographers, digital artists, traditional artists, videographers (YouTubers as an example), and especially movie producers. Copyright protects their work from being taken by someone else and claimed as their own, however special cases do exist where other individuals are allowed to use copywritten material that is not theirs, this is where fair use comes into play. If we did not have fair use, but still had Copyright, the large majority of YouTube videos would be illegal, from commentary videos to silly meme videos. So calling Copyright a cancer is like wanting their work to be out in a field of monkeys and hope they don't notice it, spoiler, they always do.
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[email protected]replied to [email protected] last edited by
Did you need help with your case
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Docker:
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[email protected]replied to [email protected] last edited by
Upvoting just because this reads as sarcasm to me and I'm vibing with it.
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[email protected]replied to [email protected] last edited by
Fr, it sounds AI generated. 100% sarcasm
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I think I will try ESP-Home, half of my appliances are Tasmota-based now, I just was too lazy to research compatible Thermostats... (hindsight)
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TʜᴇʀᴀᴘʏGⒶʀʏ⁽ᵗʰᵉʸ‘ᵗʰᵉᵐ⁾replied to [email protected] last edited by
Ummmm I don't think that's the right take away from this story, though you're certainly entitled to a different opinion
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[email protected]replied to [email protected] last edited by
If I'm brutally honest, I don't find these use cases very compelling.
Separate fields for addresses could be easily solved without an LLM. The only reason there isn't already a common solution is that it just isn't that much of a problem.
Data ingestion from email will never be as efficient and accurate as simply having a customer fill out a form directly.
These things might make someone mildly more efficient at their job, but given the resources required for LLMs is it really worth it?
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CarrotsHaveEarsreplied to [email protected] last edited by
Docker is only useful in that many scenarios. Nowadays people make basic binaries like
tar
into a container, stating that it's a platform agnostic solution. Sometimes some people are just incompetent and only knowdocker pull
as the only solution. -
CarrotsHaveEarsreplied to [email protected] last edited by
I cancelled my downvote because it sounds so funny now. It's like OP asked AI to generate a sarcasm and AI was silently crying, "Dude, don't dump me!"🥹
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[email protected]replied to [email protected] last edited by
Well, the address one was an example. Smart paste is useful for more than just addresses - Think non-standard data formats where a customer provided janky data and it needs wrangling. Happens often enough and with unique enough data that an LLM is going to be better than a bespoke algo.
The email one though? We absolutely have dedicated forms, but that doesn't stop end users from sending emails to our customer anyway - The email ingestion via LLM is so our customer can just have their front desk folks forward the email in and have it make a best guess to save some time. When the customer is a huge shop that handles thousands of incoming jobs per day, the small value adds here and there add up to quite the savings for them (and thus, value we offer).
Given we run the LLMs on low power machines in-house ... Yeah they're worth it.
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[email protected]replied to [email protected] last edited by
Those people don't matter, they just have money.
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[email protected]replied to [email protected] last edited by
Does "doesn't need it" mean "wouldn't be improved by it"? Examples?
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[email protected]replied to [email protected] last edited by
Yeah, still not convinced.
I work in a field which is not dissimilar. Teaching customers to email you their requirements so your LLM can have a go at filling out the form just seems ludicrous to me.
Additionally, the models you're using require stupid amounts of power to produce so that you can run them on low power machines.
Anyhow, neither of us is going to change our minds without actual data which neither of us have. Who knows, a decade from now I might be forwarding client emails to an LLM so it can fill out a form for me, at which time I'll know I was wrong.
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[email protected]replied to [email protected] last edited by
According to some meme I saw, it's gonna fuck your wife in 2025.
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[email protected]replied to CarrotsHaveEars last edited by
Docker have many benefits - container meaning it can be more secure, easy to update and something that many overlook - a dockerfile with detailed intrusions on how to install that actually works if the container works - useful when wiki is not updated.
Another benefit is that the application owner can change infrastructure used without the user actually need to care. Example - Pihole v5 is backend dns + lighthttp for web + php in one single container. In version v6(beta) they have removed lighthttp and php and built in functionality into the core service. In my tests it went from 100 MB ram usage to 20 MB. They also changed the base from debian to alpine and the image size shrink a lot.
Next benefit - I am moving from x86 to arm for my home server. Docker itself will figure out what is the right architecture and pull that image.
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[email protected]replied to [email protected] last edited by
Words have meaning, let's use them properly, okay?
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[email protected]replied to [email protected] last edited by
Yeah. I've been interested in AI for most of my life. I've followed AI developments, and tinkered with a lot of AI stuff myself. I was pretty excited when ChatGPT first launched... but that excitement turned very sour after about a month.
I hate what the world has become. Money corrupts everything. We get the cheapest most exploitative version of every possible idea, and when it comes to AI - that's pretty big net negative on the world.