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Cake day: June 30th, 2023

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  • They’re operating under the long outdated assumption that all you need to simulate a brain is match the number of neurons…

    That’s not how any of this works, but they’ve been saying “we’ll be there soon” for so long now that we’re almost able to do it, their gonna lose their main excuse and main reason for fundraising.

    They’ll have to tell investors the timeline just changed from years to maybe decades if we’re lucky

    And it’s gonna divebomb our whole economy because fucking every fund manager is dumping insane levels of money into it.


  • A neurotypical human mind, acting rationally, is able to remember the chain of thought that lead to a decision, understand why they reached that decision, find the mistake in their reasoning, and start over from that point to reach the “correct” decision.

    No.

    What we learned from those experiments was that if we don’t know a reason for why we did something, we’d invent and whole heartedly believe the first plausible explanation we come up with.

    I didn’t read any further because you had a fundamental misunderstanding about what those studies actually proved


  • Why would an AI system provide such confidently incorrect information about its own capabilities or mistakes? The answer lies in understanding what AI models actually are—and what they aren’t.

    What’s ironic is this is one of the most human things about AI…

    when an object is presented in the right visual field, the patient responds correctly verbally and with his/her right hand. However, when an object is presented in the left visual field the patient verbally states that he/she saw nothing, and identifies the object accurately with the left hand only (Gazzaniga et al., 1962; Gazzaniga, 1967; Sperry, 1968, 1984; Wolman, 2012). This is concordant with the human anatomy; the right hemisphere receives visual input from the left visual field and controls the left hand, and vice versa (Penfield and Boldrey, 1937; Cowey, 1979; Sakata and Taira, 1994). Moreover, the left hemisphere is generally the site of language processing (Ojemann et al., 1989; Cantalupo and Hopkins, 2001; Vigneau et al., 2006). Thus, severing the corpus callosum seems to cause each hemisphere to gain its own consciousness (Sperry, 1984). The left hemisphere is only aware of the right visual half-field and expresses this through its control of the right hand and verbal capacities, while the right hemisphere is only aware of the left visual field, which it expresses through its control of the left hand.

    https://academic.oup.com/brain/article/140/5/1231/2951052?login=false

    Tldr:

    They split people’s brains in half, and only the right side of the body could speak.

    So if you showed the left eye a text that said “draw a circle” the left hand would draw a circle.

    Ask the patient why, and they’d invent a reason and 100% believe it’s true.

    It’s why it seems like people are just doing shit and rationalizing it later…

    That’s kind of how we’re wired to work, and why humans can rationalize almost anything.


  • This is plastic straws all over again:

    As some onlookers have noted, the recommendation rings a little hollow when juxtaposed next to the UK government’s commitment to turbocharge growth using AI. Perhaps more pertinently, the advice rings hollow because it’s likely not very sensible. While it’s true that data centers do consume large amounts of water through evaporative cooling (where it’s used), the vast majority of this power draw comes from CPU and GPU computation, not the storage of pictures and emails. Once the data is stored, the storage devices generate very little heat and are often spun down (placed into low- or no-power states) and called upon only when needed.

    The impact of an individual deleting emails and old photos on data center water usage is likely to be so infinitesimal as to be considered futile. In fact, rooting out old emails and photos and deleting them from your online archives might well use more energy and water than storing them in the first place, making this a counterproductive exercise.

    Corporations are the real problem, but they bribe the government into doing something that won’t help but will make some people against the entire cause and will reflexively start saying there is no problem and nothing should be fixed.

    They need to be called out repeatedly and loudly before that mentality sets in again.




  • We don’t know that.

    Now, I don’t use Spotify, but what I use allows me to pick specific songs, but it defaults to “shuffle”. Sometimes it’s stuff I listen to, sometimes it’s new.

    I’m not aware of anything showing a breakdown of intentional listens and popping up on “shuffle”.

    From a label perspective, AI is the best kind of band because it will do whatever you say, it will never refuse to do anything out of integrity. So it seems a reasonable assumption that what they’re aiming for is “elevator music” something innocuous enough that people won’t hit skip.

    If it’s too good, people look into it, discover it’s AI, and stop caring about it.

    Like the vast majority of AI stuff, it might work short term, but that’s only a novelty and those wear off. If people could opt out of AI music, the overwhelming amount of people would take the time to do so.


  • A band of four guys with shaggy hair released two albums’ worth of generic psych-rock songs back-to-back. The songs ended up on Spotify users’ Discover Weekly feeds, as well as on third-party playlists boasting hundreds of thousands of followers. Within a few weeks, the band’s music had garnered millions of streams — except the band wasn’t real. It was a “synthetic music project” created using artificial intelligence.

    The big problem is the people doing this are also gaming the algorithm to get on those “discover” feeds. You think someone that uses bots to fake a band wouldn’t use bots to inflate play count and make it look like they’re popular?

    If companies don’t take a stand, they’re gonna end up just burning bandwidth so bots can listen to bots and real humans move on to a platform not filled with slop.



  • “Humanity has prevailed (for now!),” wrote Dębiak on X, noting he had little sleep while competing in several competitions across three days. “I’m completely exhausted. … I’m barely alive.”

    The competition required contestants to solve a single complex optimization problem over 600 minutes. The contest echoes the American folk tale of John Henry, the steel-driving man who raced against a steam-powered drilling machine in the 1870s. Like Henry’s legendary battle against industrial automation, Dębiak’s victory represents a human expert pushing themselves to their physical limits to prove that human skill still matters in an age of advancing AI.

    So …

    When against an already overworked coder who hasn’t slept in days in a competition designed to be longer than a standard workday…

    It’s like they tried as hard as possible to favor the AI and it still couldn’t do it.





  • In the US, not working was the top reason for a higher amount of loneliness among middle-aged adults, while in other countries it resulted in more loneliness among older adults.

    I mean… This is America…

    It cost money to do pretty much anything, if you don’t work then our “safety nets” don’t give you enough to live.

    Hell, 60% of Americans don’t make enough to live. And unemployment isn’t up to 60% yet.

    If every social interaction includes some kind of price tag, the majority of Americans can’t afford to pay it, no wonder people are lonely







  • givesomefucks@lemmy.worldtoTechnology@lemmy.zip*Permanently Deleted*
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    1 year ago

    It’s hard to tell if CNN doesn’t know, or is just biased now that the new owners want to be the “Faux News of the left”…

    But it wasn’t foreshadowing, it was the beginning of a plan.

    Bannon got into WoW gold, and found out how impressionable and angry young men were. So they targeted them with propaganda.