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Joined 1 year ago
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Cake day: June 4th, 2023

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  • I think that is a bit the conceit of the collection: classic games in looks / features, but taking into account the progress that has been made in game design and mechanics. I actually prefer it this way, like an alternate timeline in which computers didn’t get more powerful and people were forced to iterate on ideas within these constraints.


  • I’ve only just started today, so these are my first impressions of the initial 10 games:

    • Barbuta: such a strange little game! First impression is very hostile and strange, but it keeps luring me in with it’s puzzle-like complexity. Discovering new stuff in this one is super satisfying.
    • Bug Hunter: seems interesting, but did not want to hurt my brain with the strategy aspect, so on hold for now
    • Ninpek: precision platformer auto-scroller, I am really bad at this so not really for me
    • Paint Chase: amazing little game, really fun paint battler with cool powerups
    • Magic Garden: this one got its hooks in me, a great twist on snake and pacman with a risk-reward mechanic. Highly recommend!
    • Mortol: this is so creative! Still at the start, but using your own body as a tool to be used by your next “lives” is amazing.
    • Velgress: made me think of playing Doodle Jump on my Nokia Slider phone, good times.
    • Planet Zoldath: spend literally 1 minute in this, something on a planet, then my brain wanted another impulse :)
    • Attactics: really cool, sort of real time strategy game. I really like it, but feel like I need to play it more to understand the strategies better.
    • Devilition: chain reactions of blowing up demons! Quite a head-scratcher, but really satisfying when you start your demolition and everything goes as planned!

    (edit: formatting)












  • That’s a very interesting point of view, and indeed well formulated in the video!

    I don’t necessarily agree with it though. I as a human being have grown up and learned from experience and the experiences of previous humans that were documented or directly communicated to me. I can see no inherent difference with an artificial intelligence learning on the same data.

    I never did all the experiments, nor the research previous scientists did, but I trust their reproducibility and logical conclusions. I think on the same way, artificial intelligence could theoretically also learn these things based on previous documented findings. This would be an ideal “général intelligence” AI.

    The main problem I think, is that AI needs to be even more computationally intensive and complex for it to be able to get to these advanced levels of understanding. And at this point, I see it as a fun theoretical exercise without actual practical benefit: the cost (both in money, time and energy) seems far too large to eventually create something that we can already do as humans ourselves.

    The current state of LLMs is one of very basic “semblance” of understanding, and close to what you describe as probability based conversation.

    I feel that AI is best at doing very specific tasks, were the problem space is small enough for it to actually learn the underlying model. In the same way I think that LLMs are best at language: rewriting text or generating stuff. What companies seem to think though is because a model is wel at producing realistic language, that it is also competent at the contents of what it is writing. And again, for that to be true, it needs a much more advanced method of calculation than is currently available.

    Take this all with a grain of salt though, as I am no expert on the matter. I am an electrical engineer who no longer works in the sector due to mental issues, but with an interest in computer science.








  • Honestly, I am often a passionate little toddler explaining stuff that amazed me when I learned it.

    There was an issue around male behaviour at an inclusive boxing gym where I train, and I was suddenly super conscious about this and afraid I was part of the problem. But luckily I had some super nice conversations with some of the women training there that explained me that this was not an issue. Of course I am no saint and have also made mistakes, but being passionate about stuff is not the same as mansplaining, and luckily others are able to tell the difference.

    Something I did learn from that situation, is how women / non-men are often given less space to speak, and as a man who also loves to speak, I’ve been more conscious in giving space to everyone. Which is in fact a nice experience, as you learn way more about others and the world when you’re not talking :). It’s a peaceful experience.