https://i.imgur.com/YGwWaF1.gif

We are one step closer to getting BOT medics to take over.

bet it cant ctap

It's insane for sure

https://i.imgur.com/kxQjvW1.jpeg

Like looking at a magician sawing a lady in half and thinking they can do surgery.

dont get baited rahmed everyone and their dog wants to work in ai now and tech companies have already been extremely competitive and terrible to find jobs in bc of layoffs for the last few years (not sure if u were serious but figure someone reading this might have the same thought)

i know a number of people who have struggled finding jobs even with a bs or masters from a top cs program, the market has been shit for a few years, networking and startups are the only ways ive seen people find success, but as someone who worked for an ai startup that ran out of money (lol) i would recommend people do Other Things instead of jumping on the bandwagon

there are tons of tf2 people who studied cs tho so odds are someone you know is either in school for it or working in software somehow (we're all computer nerds it makes sense), talking to people is the best way to get a feel for the industry and whether or not you should try to pursue things

about the tutoring thing im sure this will make it a bit more difficult to get people to pay for tutoring, but my friends who have done online cs tutoring for example a lot of times are asked to help with complex problems that someone tried to figure out with gpt (lol) but failed to do so, plus i think people just enjoy talking to another human and having it not be as isolating / stressful struggling on a homework assignment

please stop falling for artificially gassed up "miracle" technology, just because it's marginally more useful than shit that came before it like VR and the blockchain doesn't mean it's actually any good

do you think you will say the same in 5, 10 years?

i don't give a shit if tech companies say in press releases that this time their tech gizmo is actually the future of human civilization

gpt is an excel formula and regex generator but with an attitude, a third valid use case has yet to be discovered.

chatgpt doesn't understand the concept of a red herring https://imgur.com/a/lDP0TOF

the future of computing is making a gpt wrapper and calling it a startup

Massively correlates with your stock price going up, the more you mention AI in your quarterly report.

What a world we live in.

Thanks for the advice. I think that human interface will never be replaced, but tutoring gotta be a side gig for me. I really just want to do some calculus and coding tbh, and this looks like a high paying job that encapsulates everything I want

lmao, imagine putting AI on the same level as blockchain or VR and thinking it can genuinely be compared to anything we've ever seen in the past, you're even getting upfragged by other clueless people.
IA (ChatGPT obviously included) is far from being this miracolous technology ready to take over the world, but holy fuck you truly have to be clueless to think that it won't be a once in a lifetime game changer for humanity in the next years. (yeah, maybe just 10 years from now, if not even earlier)

no, high tech search engines with an incredibly stupid inbred cleverbot front end are not the future of humanity, i'm sorry

I'm sure bear can speak more on this given that he actually worked in industry but non research level AI will probably have like 0% math and 100% coding lol.

Even research level stuff (let's say getting published in NeurIPS/ICLR/ICML etc.) doesn't need to have a ton of math depending on what you do. Explicit calculus like taking a derivative usually shows up in the form of optimization but i don't see a ton of that honestly (granted I am in a stats dept so keep that in mind when I look at papers). Obviously though probability and analysis which are used a lot build upon calc, and there are certainly explicit uses like for stochastic PDE's in diffusion models. But if for whatever reason you love calc and only calc keep that in mind.

https://imgur.com/QLJbqay

Don't worry, I'm sure it won't be replacing math tutors any time soon.

well if we're talking about ONLY ChatGPT I obviously agree, but if you guys are genuinely so naive to think this chatbot is really representative of the future of AI, oh boy do I envy your little world

i'm glad whatever ai company stocks you bought are doing well

lmao clever answer, you obviously know what you're talking an about!

there isn't a way someone can cleverly answer to you saying "oh yeah right now the technology is terrible but in an undeterminate future it'll be good" because none of us on this earth can read the future

good day

Is this even true lol. For the conferences you mentioned almost all papers are primarily math.

Just looking at the ICLR 2024 outstanding papers I would say only one is math-heavy (generalization of diffusion models). The vision transformers need registers in particular is nice and has basically nothing. Somewhat ironically the more math heavy papers were relegated to the honorable mentions lol.

Obv every paper is gonna require you to latex something I'm not saying that, but in my experience the way you approach a theory/math paper vs the other types of papers is just so different with the math being extremely secondary (means to an end type deal). Compare the protein discovery paper vs the robust agents paper.

Also (and if you're familiar I'm sure you've seen this as well) these conferences are usually flooded with garbage like "we changed some model marginally in pytorch and got some small non-generalizable improvements" and sometimes that stuff gets published so.

a lot of ml papers are essentially math papers and the main contribution is their analysis, but a lot are also basically just "we use different linear algebra, make big, state of art result!!!" (and then take some math from a textbook / other papers and add it related work / background to make look cooler.)

edit: ninja'd by 20 minutes :-) agree w/ u bby

pretty much what the others have said, especially these days a lot of the advancements have been engineering improvements (better methods for training/finetuning/rlhf, quantization/other optimizations), you want to do a PhD and actually do research you definitely have to like math and theoretical stuff (and tearing your hair out), but the vast majority of actual work is just engineering skills (applying other people's research)

on the topic of research i feel like ppl see the AlphaGo deepmind video and stuff like that and say omg this is the dream!! but if you really think you want to do research you need to accept the fact that you will have to stay up to date reading papers constantly (Pain) and there's a huge potential for burnout, it really isnt as sexy as it sounds (i did my masters and got a job and then realized i hated it, having to sit at a desk for 8 hours reading papers and working on shitty research code / be expected to write a paper on your own in 4 months, shit made me wanna kms)

also phd applications are even more competitive and almost impossible to get in unless you have a first author paper at a top conference, and a large number of ML or even data science jobs require a PhD, it sucks but if there's an exciting field that also pays well, odds are it's going to be very competitive and hard to get into

my main advice for ppl who want to get into cs stuff in general is to get as much real world experience or side projects as possible, the tough thing is if its a PhD people are willing to believe you learned something in your years of research, but a masters student who did only research for two years a) still can't get into phd programs very easily and b) employers don't give a shit about ur research and want real world exp ive seen some of the most horribly written code -- phds who got into top conferences doing their entire project in a jupyter notebook