text to text @ayuranslounge - Tumblr Blog

i wish mosquitos didn't make you itchy and give you horribly infectious diseases. i wouldn't begrudge them a humble nibble were it not so

nudityandnerdery

From the media that brought you "Millennials are killing [insert industry here]" articles for years and years and years, now we have....

"Hey, Gen Z, we're gonna relabel vacations into something else now and tell you how you really should be wary of taking vacation because it might impact your financial future."

This is a goddamn dystopia, we know this, right?

rabid-transcendentalist

viralfrog

ljesak

goth-queen

kivvi-koicodile-deactivated2026

Made my non furry bf a sona!

Of course their sona gets a badge before mine 😭

this-is-a-love-story-isnt-it

This insane update from Neocities

foxes-in-love

misscrazyfangirl321

Hey someone suggested I use ChatGPT to figure out adulting today, and as I was going through the mental list of places I'd rather look, I realized "beloved strangers on Tumblr dot net" was on that list.

So if you have an aspect of adulting that you're really good at-taxes, budgeting, cooking, insurance, credit, time management, house upkeep, anything-please feel free to reblog with any tips.

notcruvusmemes

Not me, but @bitchesgetriches has a lot of great resources for many of these topics on their website.

bitchesgetriches

That's us! Professional internet adults, specializing in financial stuff! We recommend starting with our Grand List of All Articles, or one of our Masterposts:

MASTERPOST: Everything You Need To Know About Taxes

MASTERPOST: Everything You Need to Know about How to Increase Your Income

MASTERPOST: Everything You Need to Know about Retirement and How to Retire

MASTERPOST: Everything You Need to Know about Credit and Credit Cards

MASTERPOST: Everything You Need to Know about Investing for Beginners

MASTERPOST: Everything You Need to Know about How to Pay off Debt

MASTERPOST: Everything You Need To Know About Living Independently for the First Time

MASTERPOST: Everything You Need to Know about Repairing Our Busted-Ass World

MASTERPOST: Everything You Need to Know about Self-Care

MASTERPOST: Everything You Need to Know about Getting a Job, Raise, or Promotion

MASTERPOST: Everything You Need to Know about Saving Money and Being Frugal

dykeselfcest

it is unfortunate that there's no reason for most people to remember high school chemistry because the best analogy I have found for "the amount of energy that it takes me to initiate a task, which can be higher than the amount of energy it takes to actually complete the task" is "activation energy" and it's not precisely perfect but

yeah. and you can even include "thing that reduces the barrier to doing the task" as a catalyst/enzyme

anyway. unfortunately this does not actually clarify anything for the average person. but #ToMe it works

cipheramnesia

Business degree holder looking at these graphs would be like "I don't understand, these can't be correct because the line goes down. Fix the numbers and make the line go up.

foxes-in-love

prokopetz

I think that realistically, the thing that kills AI data centres isn't going to be cost, regulation, or public opposition. I think it's going to be the gen-AI equivalent of the WDM fiasco.

For context, back when commercial Internet service was just taking off and the dot-com bubble was at its peak, a bunch of companies put down vast quantities of fibre-optic cables in anticipation of future demand. The vast majority of that fibre subsequently ended up laying dormant, becoming what's known in the industry as dark fibre.

The dot-com bubble bursting is often cited as the reason why, but it can't account for all of the problem, or even most of it; demand for commercial bandwidth continued to grow in spite of the bust, albeit somewhat more slowly than predicted. The real culprit was the development of a technology called wavelength-division multiplexing, or WDM.

WDM tremendously increased the amount of data that could be transmitted using existing fibre-optic cables; post-WDM, many major urban centres found that they now had over one hundred times as much fibre as they needed to accommodate present and anticipated near-future demand for Internet bandwidth. Many of the corporations that had speculatively bankrolled that fibre installation ended up selling off their infrastructure for pennies on the dollar and subsequently went bankrupt.

Basically, I suspect that's what's going to happen here. The present rush to construct more and more AI data centres is being short-sightedly driven by predictions based on the first couple of generations of general-purpose generative AI technology. Any day now there's going to be some random unpredictable breakthrough that makes gen-AI models like a hundred times more efficient, and a lot of very powerful people are going to be left holding a lot of very expensive bags.

prokopetz

The plausible endgame for gen-AI isn't "the technology stops existing". It's "the bottom drops out of the infrastructure market because the technology reaches a point where a good-enough-for-Jane-Average version of the entire model can live in your pocket".

prokopetz

(If you're in the notes going "OP isn't this just DeepSeek", you need to understand that the efficiency gains achieved by DeepSeek are basically a rounding error compared to what could plausibly be achieved once we actually get this shit figured out – and if DeepSeek caused as much anxiety in the market as it did, imagine what serious improvements in model efficiency would do!)

ayuranslounge

It already has with Google's 6x reduction in memory usage.

What's next would be context and guardrails. Specifically partition then towards specialties in order to reduce the amount of rp needed to get them to start and stay down a certain branch.

It's all vector math, so it'll likely be more vector math. Maybe similar to how you can process audio down ideal paths. The tricky part is identifying this paths in the ai blackbox of data.