JohnnyEnzyme

u/JohnnyEnzyme@piefed.social
563 posts · 5.6k comments

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Bloody hell, mate... score one for your words... uh, well somehow a tear jumping in my eye, anyway. (obviously a small insect or bit of industrial waste!)

I can explain later, but if you feel like adding a beloved, favorite quote of yours here, I think I speak for me an me mate-- we would LOVE to see it. <3

@mrnobody@quokk.au

Thanks!
You're the first person to comment, and it make me feel like it was worth the extra effort, compared to just uploading the image file and quickly moving on.

I love the quote myself, altho I also find it interesting how some feel the same way, while others seem repulsed by it. Which in fact makes much sense to me, since we humans seem to chronically seek permanency and decisive answers to existential fears as we do. But I ramble on, perhaps... XD

Yeah I'm just kind of a rubbernecker here, but from the last couple articles I read, it sounds like group-wise they're not remotely profitable yet. At the same time, in the States and I guess elsewhere, the data centers have been rammed through against local taxpayer objection, meaning that at least to some degree they and the state are going to be subsidizing the DC's. Also being harmed by their irreplaceable aquifers being tapped.

Far as I know, Nestle is a big player in pulling that shit, and is arguably a benefitee of regularity capture, which naturally means a certain degree of politicians enriching themselves, ultimately paid for by taxpayers & sustainability. My point is that similar things do seem to be happening with LLM's and their DC's. So probably all that moves the profitability needle somewhat.

Btw, this particular chart of the author's helped me understand some things:

on Substack & Twitter · c/aiop · 3 pts · 22h

The common sentiment is that refusing to take down Nazi content makes one complicit and supportive of Nazis.

No tolerance for intolerance is a principle which he seems to be whiffing on. Or maybe it's as simple as significantly more profit for him by turning a blind eye.

Fascinating stuff, altho to me, like multiple articles all rolled in to one, which could easily double as a fairly high-level university course.

My take is that tools & tech indeed get normalised over time, with all kinds of assumptions and expectations built-in as time progresses, which can... lead to some pretty interesting or even catastrophic results, eventually. Like the Bronze Age collapse, perhaps, in which the breakdown of trade rather suddenly crippled multiple city-states, reeling them back to tools & tech from centuries or more earlier. In short, any tool can become a dangerous thing IMO, for a multitude of reasons.

I agree that calling an LLM 'just a tool' is both disingenuous and patently false. For me, it's a kind of dream or fantasy tool that I never really thought would be developed to this extent, back when I was horsing around with stuff like Eliza and Racter. Later, when Deep Blue 2 beat Kasparov (debatably the greatest chess player of all time) almost 30yrs ago, things started to look a little different.

At this point, I'm curious if anyone here feels like critiquing my primary LLM usage. Before explaining, I also want to add that I'm fully on board with the idea that AI will turn out to be a global disaster in the end, and that it's already been pretty horrible, for example in terms of killing jobs and building massive abominations that we so delightfully call "data centers."

Personally, I use GPT on a near-daily basis to do complex searches and then pull the results together, saving me a load of time & effort. As someone with ME/CFS, that really is something super-valuable to me. Of course I've learned over time that GPT has its strengths and weaknesses, and loves to hallucinate and make fundamental errors when given the chance. To deal with that, I've built up something like ~20 global directives to help mitigate such behavior, and of course, sometimes GPT's own baked-in programming will essentially ignore some of my directives. Still, part of the process as I see it of better understanding where it shines and where it's most likely to crap the bed. TBH, I'm also pretty blown-away by how much better it's gotten across only a year or two.

Am I wrong? :P

Upvote, but I think what would really help when posting deep or deep-ish research / thought-pieces is to excerpt some telling portion of the article in order to show us what you personally found interesting, as well as to share some key bit of interest from the piece.

Social media streams are so driveby-ish in nature that they're heavily geared towards a quick look or impression of an image and or bit of text, that merely linking to something will tend to get less engagement (assuming that was the point). Even in a science sublemmy, I would think.

Just my driveby-ish 2¢.

Haha, nice!

I actually didn't have a prob with Curly Joe DeRita (the 3rd Stooge in the 60's), or however you say his name. These guys were like in their sixties or something at that point, so if their humor was going to fundamentally survive, it needed to shift a bit, right..?

With all due respect, I fear you're combining different phenomena in your analysis.

nobody’s remembering them because they were forgettable then

Oh hell, no. The ones I was seeing were absolutely outstanding, which I tried to give y'all a taste of, above. And all the technology to produce them was there, as well.

Millions of people who love LEGO + software tools + creativity = some REALLY good shit, here and there