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Cake day: June 30th, 2023

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  • Dubious is your opinion on any subject.

    Whatever your reason for saying that is, there is nothing I could possibly reply with that would make you consider any perspective I have to offer. Yet, here I go.

    Al menos hablas español? O sos un chanchito del hemisferio norte jugando a revolucionario?

    I understand Spanish to some degree because I have family in Colombia, but I suck at using it. I could trivially use a translation tool to help me compose a witty response, but that would change nothing.

    5 M expatriates were held out of the ellection. Even with put the tallies, the ellection is a complete farse…

    The fact that this is besides the point is the very point I’m making: stay. the. fuck. out. of. other. countries’. internal. politics. It’s really quite simple. Unless you are an imperialist, obviously.


















  • If this works, it’s noteworthy. I don’t know if similar results have been achieved before because I don’t follow developments that closely, but I expect that biological computing is going to catch a lot more attention in the near-to-mid-term future. Because of the efficiency and increasingly tight constraints imposed on humans due to environmental pressure, I foresee it eventually eclipse silicon-based computing.

    FinalSpark says its Neuroplatform is capable of learning and processing information

    They sneak that in there as if it’s just a cool little fact, but this should be the real headline. I can’t believe they just left it at that. Deep learning can not be the future of AI, because it doesn’t facilitate continuous learning. Active inference is a term that will probably be thrown about a lot more in the coming months and years, and as evidenced by all kinds of living things around us, wetware architectures are highly suitable for the purpose of instantiating agents doing active inference.


  • Blóðbók@slrpnk.nettoTechnology@lemmy.worldWhy AI Search Blew Up in Google’s Face
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    5 months ago

    I don’t know about google because I don’t use it unless I really can’t find what I’m looking for, but here’s a quick ddg search with a very unambiguous and specific question, and from sampling only the top 9 results I see 2 that are at all relevant (2nd and 5th):

    In order to answer my question, I need to first mentally filter out 7/9 of the results visible on my screen, then open both of the relevant ones in new tabs and read through lengthy discussions in order to find out if anyone has shared a proper solution.

    Here is the same search using perplexity’s default model (not pro, which is a lot better at breaking down queries and including relevant references):

    and I don’t have to verify all the details because even if some of it is wrong, it is immediately more useful information to me.

    I want to re-emphasise though that using LLMs for this can be incredibly frustrating too, because they will often insist assertively on falsehoods and generally act really dumb, so I’m not saying there aren’t pros and cons. Sometimes a simple keyword-based search and manual curation of the results is preferred to the nonsense produced by a stupid language model.

    Edit: I didn’t answer your question about malicious, but I can give some example of what I consider malicious and you may agree that it happens frequently enough:

    • AI generated articles
    • irrelevant SEO results
    • ads/sponsored results/commercial products or services
    • blog spam by people who speak out of ignorance
    • flame bait
    • deliberate disinformation
    • low-quality journalism
    • websites designed to exploit people/optimised for purposes other than to contribute to a healthy internet

    etc.