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Joined 1 year ago
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Cake day: July 15th, 2023

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  • While not the newest content, it recently caused me to find and finally watch the classics Boyz in the Hood and Training Day, and this weekend I intend to watch Vice. It was also because of Netflix that I first found the new Puss in Boots movie, Blue-Eye Samurai, and Delicious in Dungeon (I generally loathe anime so those last two are fairly significant).

    I think Inside Job and Narcos are Netflix only content? I thoroghly enjoyed both of those (and totally understand why people hate them for canceling Inside Job). My wife enjoyed/enjoys (she’s doing a full rewatch ATM) of Orange is the New Black. The two of us also just finished binging Kim’s Convenience.

    They also just added some other big name content that were (I think?) Exclusive content on other platforms - specifically thinking Dune, Whiplash, and Joker.

    Between discovery and availability, Netflix adds value to my life in my opinion.

    100% respect for people who disagree and have contrary opinions and/or are outraged at their handling of exclusive content (ngl, I’m not happy with them canceling Inside Job). But it’s good enough for me to keep around - that, and my wife is super NOT technically inclined, and I’ve yet to find a solution outside of a standard streaming deal (read as: anything involving sailing the high seas) that meshes with her willingness to work with it.

    Edit: Spelling is hard.


  • This is more feel than empirical data, but Netflix feels like they’ve gotten markedly better over the last 2-3 months.

    I get the subscription as part of a membership on some other things, but would not have paid for the service the way it’s gone over the last ~2 years. That said after seeing the recent improvements, if my access to Netflix was cut off tomorrow, I’d probably shell out for the lowest non-ad tier of service.

    However, mad respect for the people out there keeping the P2P/torrenting communities alive.

    Edit: spelling errors




  • I’m glad to hear that worked for you. I don’t know that I agree with everything you’ve said, but what You’ve said seems to have a logic basis. I do wish I’d been more mature and put together enough on my own end to help my buddies out back in the day.

    But all of that aside and looping back the the original post, I do think the line “do peyote” implies a more recreational (as opposed to clinical) application of the drugs.


  • DahGangalang@infosec.pubtoMicroblog Memes@lemmy.worldlike the old days
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    9 months ago

    Yeah, I don’t want to down play the effects that properly administered psychedelics seem to be having in clinical trials.

    But I’ve got a couple buddies who lost themselves to drugs. Specifically thinking of a pair of close friends who fell off the rails in college after getting really into pot and then LSD. I don’t care how much people say it doesn’t meet the clinical definition of addictive, weed will get you hooked and make you a lethargic POS if you let it.

    And so given the very niche usage of peyote, I would assume those who use it are more likely to fall into the latter type of drug users.

    That said, if you’ve got scientific write ups you can link me to to the contrary, I’d love to learn more about it.



  • Liquor Bottle by Herbal T. Has a nice faux-upbeat rhythm with jazzy kinda beats, but lyrics.are dark. Definitely helps me keep a sane face on the dark days:

    And that’s why / I keep a

    A liquor bottle in the freezer ♪

    In case I gotta take it out ♫

    Mix me a drink

    To help me

    Forget all the things

    In my life that I worry about ♪ ♫



  • Right.

    I don’t mean to say that the mechanism by which human brains learn and the mechanism by which AI is trained are 1:1 directly comparable.

    I do mean to say that the process looks pretty similar.

    My knee jerk reaction is to analogize it as comparing a fish swimming to a bird flying. Sure there are some important distinctions (e.g. bird’s need to generate lift while fish can rely on buoyancy) but in general, the two do look pretty similar (i.e. they both take a fluid medium and push it to generate thrust).

    And so with that, it feels fair to say that learning, that the storage and retrieval of memories/experiences, and that the way that that stored information shapes our sub-concious (and probably conscious too) reactions to the world around us seems largely comparable to the processes that underlie the training of “AI” and LLMs.


  • Thats not what I intended to communicate.

    I feel the Turing machine portion is not particularly relevant to the larger point. Not to belabor the point, but to be as clear as I can be: I don’t think nor intend to communicate that humans operate in the same way as a computer; I don’t mean to say that we have a CPU that handles instructions in a (more or less) one at a time fashion with specific arguments that determine flow of data as a computer would do with Assembly Instructions. I agree that anyone arguing human brains work like that are missing a lot in both neuroscience and computer science.

    The part I mean to focus on is the models of how AIs learn, specifically in neutral networks. There might be some merit in likening a cell to a transistor/switch/logic gate for some analogies, but for the purposes of talking about AI, I think comparing a brain cell to a node in a neutral network is most useful.

    The individual nodes in neutral network will have minimal impact on converting input to output, yet each one does influence the processing of one to the other. Iand with the way we train AI, how each node tweaks the result will depend solely on the past I put that has been given to it.

    In the same way, when met with a situation, our brains will process information in a comparable way: that is, any given input will be processed by a practically uncountable amount of neurons, each influencing our reactions (emotional, physical, chemical, etc) in miniscule ways based on how our past experiences have “treated” those individual neurons.

    In that way, I would argue that the processes by which AI are trained and operated are comparable to that of the human mind, though they do seem to lack complexity.

    Ninjaedit: I should proofread my post before submitting it.


  • Yes? I think that depends on your specific definition and requirements of a turing machine, but I think it’s fair to compare the almagomation of cells that is me to the “AI” LLM programs of today.

    While I do think that the complexity of input, output, and “memory” of LLM AI’s is limited in current iterations (and thus makes it feel like a far comparison to “human” intelligence), I do think the underlying process is fundamentally comparable.

    The things that make me “intelligent” are just a robust set of memories, lessons, and habits that allow me to assimilate new information and experiences in a way that makes sense to (most of) the people around me. (This is abstracting away that this process is largely governed by chemical reactions, but considering consciousness appears to be just a particularly complicated chemistry problem reinforces the point I’m trying to make, I think).