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Cake day: July 18th, 2023

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  • It is exceptionally useful for the auditing of damn near everything in digital space, as long as shared resources and 3rd parties have access to the blockchain … which is probably the major reason corporations and politicians don’t want anything to do with it.

    It’d be a lot harder to hide crimes, fraud, grey business dealings, bribery and illegal donations, sanction violations, secret police slush funds, etc, etc if every event in the entire financial system and supply chain was logged and cryptographically verifiable.

    EDIT: NOTE I’m not talking about everyones transactions being in a public ledger (bad). Only enhancing the current system between businesses and orgs so it’s exceptionally difficult for any of them to falsify data without the others knowing, as well as having near instant visibility and analytics of the entire market (great for regulators, academics, etc).

    A supply-chain wide blockchain could enable individuals to view every raw material that went into every product they consume, down to the location, date — even the exact time in many cases — each was mined, refined, harvested, transported, picked, traded, etc. in a way that no individual corp could hide or falsify dramatically. Each corp and individuals true (embodied energy consumption would be visible to every buyer; developed world politicians and corporations couldn’t simply blame China and other developing countries for their own consumption.






  • WhatAmLemmy@lemmy.worldtomemes@lemmy.worldWe're coming for you
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    4 days ago

    What makes you so confident that this super sophisticated “selective targeting” is 100% guaranteed? What if the species who has killed off 10-100% of every animal population on the planet, in 1 thousandth the time most of them took to evolve, isn’t as smart as they consider themselves to be? What if the talking chimps, with a few decades education, missed something and end up accidentally exterminating all mosquitos? How many animals and ecosystems depend on an animal that’s existed for longer than most terrestrial species? What if our weapon spreads to other arthropods with a similar DNA and “exterminates” insect species around the world, who are already in a historic rate of decline, right after we’ve degraded every habitat on Earth, just as our unplanned terraform irrevocably alters their climate forever?

    Are any of these risks worth millions of human lives? Maybe we should focus on altering ourselves? At least then our failures will be contained…


  • Reintroduction is not the same thing; that’s an attempt to reverse our damage and restore the ecology that existing before we fucked shit up.

    There’s definitely a potential for negative consequences, once the balance has been damaged long enough, but wolves inhabited Yellowstone for hundreds of millennia and have only been gone ~0.03% as long. The years of planning were probably regulatory and because wolves are complex social animals that can’t simply be abducted, dumped, and expected to succeed as though you didn’t just traumatize them with teleportation.


  • WhatAmLemmy@lemmy.worldtomemes@lemmy.worldWe're coming for you
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    6 days ago

    I have argued for the same caution every single time this came up on Reddit, because I know of a dozen examples in history where we fucked up something similar.

    I got downvoted every single time, across several posts over the years, because obviously the hive mind believes things will be different this time! The thing that males me confident it’ll fail is I’ve never seen, and nobody’s ever provided, an example where this type of ecological engineering has actually succeeded for the better.


  • The results of this new GSM-Symbolic paper aren’t completely new in the world of AI researchOther recent papers have similarly suggested that LLMs don’t actually perform formal reasoning and instead mimic it with probabilistic pattern-matching of the closest similar data seen in their vast training sets.

    WTF kind of reporting is this, though? None of this is recent or new at all, like in the slightest. I am shit at math, but have a high level understanding of statistical modeling concepts mostly as of a decade ago, and even I knew this. I recall a stats PHD describing models as “stochastic parrots”; nothing more than probabilistic mimicry. It was obviously no different the instant LLM’s came on the scene. If only tech journalists bothered to do a superficial amount of research, instead of being spoon fed spin from tech bros with a profit motive…


  • I would argue that Apple Intelligence™️ is evidence they never bought the grift. It’s very focused on tailored models scoped to the specific tasks that AI does well; creative and non-critical tasks like assisting with text processing/transforming, image generation, photo manipulation.

    The Siri integrations seem more like they’re using the LLM to stitch together the API’s that were already exposed between apps (used by shortcuts, etc); each having internal logic and validation that’s entirely programmed (and documented) by humans. They market it as a whole lot more, but they market every new product as some significant milestone for mankind … even when it’s a feature that other phones have had for years, but in an iPhone!