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Cake day: November 19th, 2023

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  • Xerxos@lemmy.mlto196@lemmy.blahaj.zoneRule
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    7 days ago

    I wonder what was the trigger for that…

    Like: “Look at those women for the medical trial! They are all straight 10s, we have to get to the bottom of this!” or “My ex got this and she was ugly as hell. I wonder if that is the reason”


  • There are two bubbles. One is the bubble made by every company under the sun trying to shove AI into their product without any sense of why or how. And wallstreet is buying it up.

    Then there is the second bubble. That is the big AI players trying to get AI ready to replace large parts of the workforce. It’s still unclear if that is possible with our current techniques or if we need a scientific breakthrough that might be years or decades away. Still, the tech companies spend money as if that is just around the corner.

    Who knowes if these bubbles burst at the same time?




  • Here is my story:

    There were console outputs after nearly every line. I asked about them: “Oh, I couldn’t get the debugger to work, so I print everything to the console”

    This was everywhere. The whole program was like this. On a standard Linux machine. It wasn’t even remote debugging or something. Just a local C++ program.

    The filenames where written in 8+3. Again, on a modern Linux machine. His answer? “You never know where we’ll port this software to”

    Onto computers that were outdated decades ago? To embedded systems? Of course he had no answer for this except “just in case…”

    I could tell you more, that software was the stuff for nightmares.











  • Blockchain solves a specific problem: safe transactions without a trusted authority.

    It has a lot of downsides to solve this problem without a trusted authority, so in any case where you can use a trusted authority (for example a central server) it’s much better to use that instead of a blockchain.

    So everyone who added blockchains to their projects gained all the downsides while never having the problem it was meant to solve in the first place.

    AIs, and I assume you meant LLMs with that, are a different breed. LLMs are new: never before could a computer handle natural language to such a degree.

    Problem is, that it’s still new. So no one knows what the “killer applications” are or what monetization should look like, or what the laws about it will be.

    People just throw every against the wall and see what sticks… And hope for AGI/ASI and to be on the side that rides that nearly infinite potential to the moon.

    Or, you know, crash and burn in case AI reaches a wall/diminishing returns/systemic problems that can’t be fixed.

    We will see.