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Joined 1 year ago
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Cake day: July 18th, 2023

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  • I wouldn’t say worst, but maybe greatest difference in expectation vs reality - “My Time at Portia”.

    Cutscenes and voice acting were janky. The UI felt like it was originally an MMO and feels odd for a single player game. The gameplay loop felt tedious and seemed to disrespect the player’s time.

    Maybe I needed to give it more time, but for a game that I thought had generally good/great reviews, it wasn’t clicking for me.










  • I bought a cheap pair on Amazon for around $30 just to try the concept out. I actually use them primarily for gaming cause I play a lot of split screen/in the same room with people, so it let’s us talk while I can still hear.

    Couple of notes:

    • Don’t put the volume too high, as they can damage your ears just like regular headphones
    • They are definitely quieter than regular headphones as nothing is blocking your ears.



  • Has Been Heroes. It’s a rougelite where you have to control three heroes across three lanes of action. You have to juggle skills and lanes by rotating the heroes to time attacks and perks. It may be more that it went notices than reviewed poorly.

    One that definitely was reviewed poorly that I loved though was Advent Rising. It’s a scifi 3rd person shooter with the story by Orson Scott Card. It ended up in legal trouble due to a botched prize they did on release. Worst part is it ends on a cliff hanger and they never made the sequel or released the comics that were supposed to add to the story.




  • Yes, and most likely more of a paradigm shift. The way deep learning models work is largely around static statistical models. The main issue here isn’t the statistical side, but the static nature. For AGI this is a significant hurdle because as the world evolves, or simply these models run into new circumstances, the models will fail.

    Its largely the reason why autonomous vehicles have sorta hit a standstill. It’s the last 1% (what if an intersection is out, what if the road is poorly maintained, etc.) that are so hard for these models as they require “thought” and not just input/output.

    LLMs have shown that large quantities of data seem to approach some sort of generalized knowledge, but researchers don’t necessarily agree on that https://arxiv.org/abs/2206.07682. So if we can’t get to more emergent abilities, it’s unlikely AGI is on the way. But as you said, combining and interweaving these systems may get something close.



  • Do you work in a technical role? I’ve dabbled in using AI to help out when working on projects, but I would say it’s hit or miss on actually helping, as in sometimes it helps me move a bit faster and sometimes it slows me down.

    However, that’s just for the raw “let’s write some code part of the work”. Anything beyond that in my roles and responsibilities doesn’t really intersect with what AI can currently do, so I’m not sure where I would get a 5-10x speed-up from.

    Honestly I’m not sure if I’m taking a wrong approach or if everyone else is blowing things out of proportion.