rg111

I saw many a Muslims quote Quran on how all Jews are evil and such.

And this is so rampant.

I see it this way- a poor guy and a rich guy both get cancer. If they can get the same medicine and the same/similar doctors, then I am fine. The poor guy might be sharing the cabin with three other people, and he is going to go home on public transit. I am okay with the rich guy having a room to himself, 8k UHD TV on the wall, and driving home using a Porsche.

I am okay with inequality, as long as all the people have the basics fulfilled.

I don't want everyone to be equally wealthy. What am I? A Communist?

Someone who could qualify to go to both Harvard and MIT will be better at anything they set their mind to than the regular grad with four year of education after the said four years.

Someone who boots up something like Worldcoin cannot be fundamentally wired to care about AI safety at all.

With all the wisdom that I have gathered in life, I can tell you that achievement- more often than not- is mostly the product of circumstances.

(That doesn't mean I believe in equal opportunities leading to equal outcomes.)

Really improved my energy. I have done this for years- on and off. During the "on" periods, there is significant and noticeable improvement in energy throughout the day.

Who cares about benchmarks?

GP here is out of their depth.

You don't need graph theory to understand NNs at all.

You need Linear Algebra and Differential Calculus, though.

You do need graph theory to understand and do Graph Neural Networks. But that's a subfield of modern AI and many AI researchers don't know/study/research Graph NNs at all.

You don't actually need to know graph theory to do RL, Vision, ANNs, NLP, etc. unless explicitly needed in your research/job.

It's going to burst for sure, but people will be using ML/AI anyway.

If that's your concern, then you can safely do ML/AI.

But, don't hold your breath on getting a presrigious role after PhD.

Because, there are very few real AI companies. And their hiring is skewed to Stanford, MIT, UCLA-B, Oxbridge, UToronto, ETH, etc. And getting into these schools in AI was always competitive, but now it is crazy-like because all the prep school kids are eyeing this since basically high-school or even before.

So, there is someone like me, who didn't know about modern AI until last year of college in a different major, then learning on my own and getting research jobs in small time companies with shit pay, and then there are people with tiger parents who are white collar or even academics who helps their children get into a really prestigious school, and there they do AI projects with top professors, who write them recommendations, and who also do summer internships in DeepMind, and then they use that to get a job in a proper ML company. At this point they have 2-4 publications in top tier conference. Then they work in BigTech AI lab for 3-5 years and get at least 4/5 more papers (no upper limit). And these are the people who are going to Stanford PhDs. Not people like me. And then these PhDs will be Research Engineers and such in DeepMind, OpenAI, etc.

So, before deciding to do a PhD from non elite institutions, think hard.

Because of AI hype, the situation is very bad for the rest of us. Because all of the prep school types in STEM want to make it in AI.

But it shows intent for junior roles.

People have no idea how many people just put "AI enthusiast" on LinkedIn profile and start to seek ML roles.

I have had people only with Excel skills apply to ML roles.

And, true thing is every company’s ML tooling/stack/procedure is wildly different. One has to learn on the job.