Omgpwnies

u/Omgpwnies@lemmy.world
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It's almost like S-curves apply differently to different areas of research....................................................................................................................................................................................................................................................................................................................................................................................................................................................

on He got wiped out! · c/funny · 4 pts · 15h

I have 3, this is neither hurt nor scared. It's surprised before a proper knowledge of how to handle the experience. He got put on his bum from a strong wave and overwhelmed by it. He immediately found his parent and got comfort. I'd be willing to bet that within 10 minutes of this video, he was back at the fence and laughing his ass off.

People made the same comments about AI a decade ago when image generators produced holy horrors full of eyes. That, and quantum computing, and many other emerging technologies, progress on an S-shaped curve. Very slow for a long time, then a series of massive breakthroughs, then settles until the next cycle. This particular discovery is more focused around reducing errors than it is increasing speed.

on I remember · c/lemmyshitpost · 4 pts · 23h

I remember seeing him pop up on youtube a couple years back. Checking again, the last post on the channel was 2 years ago and the original format petered out after "Muscles Glasses" and others left because Harley was being a douche.

on I remember · c/lemmyshitpost · 3 pts · 23h

It's amusing how each generation seems to independently come across the "empty chip bag" meme and the actual explanation - the bag is intentionally oversized and slightly inflated to give the chips a buffer against being crushed. I remember seeing it come up about once a decade, including pre-(consumer)internet.

https://www.merriam-webster.com/dictionary/whore

Noun:

3: a mercenary or unscrupulous person : a person who is willing to compromise their integrity or principles for personal gain or in pursuit of something

Verb:

2: to pursue something unworthy, debasing, unseemly, or false—usually used with after

Seems both of those definitions are apt in her case?

On it's own it wouldn't, but Cloudflare/aws/gcp/etc. might try to locally rate-limit if there's a spike in traffic that could cause other service degradation.

Wildlife are less likely to mistake it for something eatable as well.

I made the mistake once of buying a string of C7-sized Christmas lights to put up on my house one year. Turns out squirrels around my house thought they were acorns or something, and literally chewed the bulb assemblies off the wire. They weren't even up for a week before I had to take them down and trash them. Now I have rope-style and mini-icicle lights that the wildlife seem content to ignore.

on Far Reicht · c/europe · -8 pts · 3d

The traditional right-wing world tour, maybe add in North Korea followed by some taint-licking in the Oval Office.

They often don't have to. There was a quote that I'm currently unable to find that is paraphrased 'If I want to pull someone over, I just follow them for 5 minutes, they're guaranteed to break a law at some point' Stuff like failing to properly signal, speeding, going too slow, rolling stop at an intersection, etc. Hell, if they follow you in the passing lane for a couple of minutes they can get you for not yielding the lane.

on Uh oh no gas? · c/memes · 1 pts · 4d

If I had to guess the origin, it would be Mao Zedong (Tse-Tung), who founded the Chinese Communist Party, and is often referred to as "Chairman Mao"

An LLM can only be derivative. It can come up with "unique" patterns, but only based off it's training data. For something like your use case, it would have very little data to work on given that you claim the documentation is poor. Your best case would be to use a high reasoning model and feed the documentation into it's context before asking anything - but it will only give you answers based on that input. If the documentation is wrong or outdated, you'll get answers based on wrong and outdated data.

As far as "who could get left behind?", I feel that is more people who's job can be impacted by LLMs - programming is a big one, and the reason is largely in my first paragraph. The amount of "training data" on the internet for coding is absolutely massive and incredibly well organized because programmers are nothing if not incredibly pedantic. The result is that the task of writing code can be largely offloaded and with recent models, the quality of the code being produced is extremely good, especially in tasks that are well solved/documented.