Father, Hacker (Information Security Professional), Open Source Software Developer, Inventor, and 3D printing enthusiast

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Joined 3 years ago
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Cake day: June 23rd, 2023

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  • Big AI is a bubble but AI in general is not.

    If anything, the DRAM shortages will apply pressure on researchers to come up with more efficient AI models rather than more efficient (normal) software overall.

    I suspect that as more software gets AI-assisted development we’ll actually see less efficient software but eventually, more efficient as adoption of AI coding assist becomes more mature (and probably more formalized/automated).

    I say this because of experience: If you ask an LLM to write something for you it often does a terrible job with efficiency. However, if you ask it to analyze an existing code base to make it more efficient, it often does a great job. The dichotomy is due to the nature of AI prompting: It works best if you only give it one thing to do at a time.

    In theory, if AI code assist becomes more mature and formalized, the “optimize this” step will likely be built-in, rather than something the developer has to ask for after the fact.


  • Who says you get reincarnated right away? It could be a 1000 years between your death and rebirth!

    That’s how I set it up in my silly comedy Isekai, Maizy’s Tails (it’s free to read on the web if you care… Just search it, it’ll be the first link): After death souls need to be “aged” at least 1000 years before they can be put in a new body. The gods think it’s a multiversal rule but the MC figures out a workaround 😁

    It actually opens with the gods bidding on souls from Earth… A world that ended about a million years prior to the auction (because that’s how long it took to sort and categorize them all) 🤣





  • I don’t know about the carbon emissions, the water thing in the article is extremely misleading. It claims that AI is using up more water than the entire yearly consumption of bottled water. The water usage estimates include the water used to cool the power plants generating the power (running the data center).

    The last study on this said that the actual usage of water in the data centers is 12% of the total water usage estimate. Data centers don’t normally use that much water. It would be like Niagra Falls pouring water over every data center.

    Simple reality check: If you look at the cooling system outside any given data center—if they’re using as much water as d article suggests—they’d be emitting a massive cloud of water, 24/7. It would be so much, they’d need a cooling tower on par with a nuclear power station.

    So what’s with the statistic? If you look at any given power plant on Google Maps you’ll see cooling ponds all around it. That’s the water they’re talking about. It’s part of the build of the power plant. It’s not using potable water that would be going into people’s houses.

    Having said that, 12% of the water usage is potable water—in the worst-case data center/power plant matchup scenario. Where you have an older data center that doesn’t use modern closed loop cooling systems that don’t lose as much water to evaporation. I don’t know what the statistic is, but I can sure you it’s a lot better than 12%. A wild guess would be 4-6%.

    Background: I was a security consultant for many years and traveled all over the US going into many data centers (sometimes, by breaking in! Hah). Inside, they’re loud AF (think: standing next to a jet engine) and outside they’ll have some big ass cooling units that are also kinda loud but not as loud as some of these articles make them out to be.

    That was about 7 years ago but I doubt much has changed since then. I guarantee that those data centers are still being used and have been renovated to support AI-style hardware. The power from the utility was just increased and more cooling units were added. I seriously doubt they did much more than that.

    From what I’ve read about the new “giga scale” data centers, they’re much more efficient (and quieter… Outside). Those are the ones we want. If we replaced all the old stuff with new stuff, the statistics in articles like this would drop by and order of magnitude (just a guess).








  • I’m in the camp of, “if it’s good, why should I care?” However, I’m all for transparency! Passing off AI-generated music as human-generated is fraud. Be honest!

    There’s a LOT of grey areas though. If you’re a vocalist and you’re using an AI-generated background? How’s that any different from pressing “play” on a sequencer or even an audio file (of some sequenced or drum track)?

    If you’re a lyricist, the actual music isn’t as important as the lyrics. Does it matter if they used AI to generate the music or should every lyricist be forced to pay someone to make the music for them or master an instrument (or sequencer)?

    What if you’re trying to translate your music into a different language and use AI to translate it? Is that AI-generated music? You can give your whole damned song to AI and it’ll convert to a different language in-place without having to re-record it. It even uses your singer’s voice!

    To me, it’s incredible technology and it’s enabling artists of all kinds to do cool things with their music. It seems rather paternalistic to suggest someone’s creativity doesn’t “count” if they didn’t sweat or spend years practicing to create it.