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Joined 1 year ago
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Cake day: June 5th, 2023

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  • You could make yours a Geocaching app with fog-of-war. They’ve got an API for third-party apps too, so it should be easy enough to develop, and actually fun to play.

    If you’re feeling ambitious, add some RTS elements like from Age of Empires - eg if you add someone as your ally, you can share their line of sight. Finding certain types of caches, or POIs, increases your resources (gold/stone/food/wood - maybe visiting Pizza Hut gives you extra food lol). And with these resources, you could build virtual structures like castles etc. Other players could spend resources to take it down (but they need to be physically at that location), and you could spend resources to defend your building.

    Kinda like Ingress basically, but with medieval/RTS elements and geocaching thrown into the mix. How’s that for a challenge? :)



  • That’s going to change in the future with NPUs (neural processing units). They’re already being bundled with both regular CPUs (such as the Ryzen 8000 series) and mobile SoCs (such as the Snapdragon 8 Gen 3). The NPU included with the the SD8Gen3 for instance can run models like Llama 2 - something an average desktop would normally struggle with. Now this is only the 7B model mind you, so it’s a far cry from more powerful models like the 70B, but this will only improve in the future. Over the next few years, NPUs - and applications that take advantage of them - will be a completely normal thing, and it won’t require a household’s worth of energy. I mean, we’re already seeing various applications of it, eg in smartphone cameras, photo editing apps, digital assistants etc. The next would be I guess autocorrect and word prediction, and I for one can’t wait to ditch our current, crappy markov keyboards.


    • Summarising articles / extracting information / transforming it according to my needs. Everyone knows LLM-bssed summaries are great, but not many folks utilise them to their full extent. For instance, yesterday, Sony published a blog piece on how a bunch of games were discounted on the PlayStation store. This was like a really long list that I couldn’t be bothered reading, so I asked ChatGPT to display just the genres that I’m interested in, and sort them according to popularity. Another example is parsing changelogs for software releases, sometimes some of them are really long (and not sorted properly - maybe just a dump of commit messages), so I’d ask it to summarise the changes, maybe only show me new feature additions, or any breaking changes etc.

    • Translations. I find ChatGPT excellent at translating Asian languages - expecially all the esoteric terms used in badly-translated Chinese webcomics. I feed in the pinyin word and provide context, and ChatGPT tells me what it means in that context, and also provides alternate translations. This is a 100 times better than just using Google Translate or whatever dumb dictionary-based translator, because context is everything in Asian languages.





  • Technically speaking, OpenRC doesn’t really have any benefits in the real world, some people may claim faster boot times, but that’s debatable on modern hardware. In fact objectively, it’s inferior to systemd in many ways.

    The real advantage though is that it’s pretty simple and easy to use, understand and maintain. It follows the Unix philosophy of “do one thing, and do it right”. People who like to have full understanding and fine control over their systems would prefer using OpenRC or similar init systems (with a mix-and-match of other utilities and daemons as per their need), instead of relying on a giant monolothic package like systemd which keeps getting bloated with more and more “unnecessary” features with each release.

    Basically, you can say that it’s a difference of ideology.