BabaIsPissed

We consistently find across all our experiments that, across concepts, the frequency of a concept in the pretraining dataset is a strong predictor of the model’s performance on test examples containing that concept. Notably, model performance scales linearly as the concept frequency in pretraining data grows exponentially

This reminds me of an older paper on how LLMs can't even do basic math when examples fall outside the training distribution (note that this was GPT-J and as far as I'm aware no such analysis is possible with GPT4, I wonder why), so this phenomena is not exclusive to multimodal stuff. It's one thing to pre-train a large capacity model on a general task that might benefit downstream tasks, but wanting these models to be general purpose is really, really silly.

I'm of the opinion that we're approaching a crisis in AI, we've hit a barrier on what current approaches are capable of achieving and no amount of data, labelers and tinkering with architectural minutiae or (god forbid) "prompt engineering" can fix that. My hopes are that with the bubble bursting the field will have to reckon with the need for algorithmic and architectural innovation, more robust standards for what constitutes a proper benchmark and reproducibility at the very least, and maybe, just maybe, extend its collective knowledge from other fields of study past 1960's neuroscience and explore the ethical and societal implications of your work more deeply than the oftentimes tiny obligatory ethics section of a paper. That is definetly a overgeneralization, so sorry for any researchers out here <3, I'm just disillusioned with the general state of the field.

You're correct about the C suites though , all they needed to see was one of those stupid graphs that showed line going up, with model capacity on the x axis and performance on the y axis, and their greed did the rest.

There is a disconnect between what computer scientists understands as AI and what the general public understands as AI. This was previously not a problem, nerds give confusing names to stuff all the time, but it became a problem after this latest hype cycle where incurious laypeople are in charge of the messaging (or in a less charitable interpretation, benefit from fear of the singularity™). Doesn't help that scientific communication is dogshit.

got the Samsung buds pro 2 at half price recently and I kind of like them, but they were a bit underwhelming even at that price. I've never spent a lot on audio in general, so they were actually a big improvement, but there was no "wow" factor or anything. Plus having to install bloatware that asks for all permissions under the sun sucks (why the fuck would a settings menu want to know my location???).

I do think you underestimate how nice the noise cancelation can be though. I moved to a big city and my hick ass cannot deal with all the fucking noise. Plus I'm clumsy and end up getting wires caught on everything, which means wire stuff also becomes e-waste fairly quickly.

It reads as parody so much that I was actually kind of enjoying it. I mean the scene with the Teslas crashing, Havana Syndrome, "Death to America, I remember it from the videogame", the 13 year old girl quoting West Wing, all the nonsense pontificating about random bullshit like Friends, the camera zooming and twisting for no discernible reason, I thought I was picking up on some deep contempt for lib neurosis and vapidness and it got a laugh out of me a couple of times. Pausing it to check out who made it was a mistake, soured the rest of the thing. It might have been ruined by the runtime anyway so no big loss.

the ice levels in Spelunky HD are my least favorite, but this track almost makes up for all the stupid UFOs crashing into me from out of screen

The video consists of like 2 hours of some examples of youtube plagiarism, with discussion of content mills and the beginning of an interesting point about how plagiarists view the people they steal from as lesser, which is not expanded upon as much as it should IMO.

The other 2 hours are about James Somerston, a gay video essayist that basically Frakensteined a bunch (if not all) of his videos from queer authors, some well known, a lot of them not. By the end Hbomb makes a good point about erasure, and how young queer people don't understand their history in part because of people like Somerston.

I'm generally not annoyed by length since I'm a zoomer and watch everything at 2x or more, but in this case I get the point because it actually took me 2 real time hours to watch and I felt there was a lot that could have been cut. I still won't watch the 3 hour scorcese movie, fuck all of you, movies ARE too long now.

I think going for the Rebuild treatment was a really cool idea and they mostly executed it pretty well. One thing I didn't get is why they put that blur effect on everything.

doing that as well, but asking here can't hurt right?

The only guy I have on my friends list that plays this stuff is definetly not afraid to let others know, he does extensive reviews of every datable girl in a given game. but also entertaining to read/make fun of sometimes.

And even then, OP still has a point.

Yeah, kinda. But the framing is all fucked. Someone that can't improve themselves because of depression don't need "tough love" or to hear they are disinteresting and on their own, they need to see the inate value in themselves. Everyone IS interesting, they just have to nurture that and demonstrate it to others.

There is no deeper understanding about the issues they are marching for. It is all just slogans.

. I don't understand how people who don't know shit don't just shut the fuck up until they learn more.

I'm sick of simulation theory as well and want something cooler to take its place. Maybe Gnosticism?