codeAligned

Why south India and not just India at large?

How legit is this?

what??

> In many ways OF feels like a positive step because it allows the removal of toxic middlemen that stand between the model and their customer.

Wait, are you intentionally ignoring the fact that OF is the middleman? Because it definitely is, making about 1 billion dollars off of 5 billion dollars of transactions. Or are you saying OF is a "good non-toxic middleman".

There's always someone who will reply with something along the lines of "I don't use anything I learned in school on the job" or "Software engineering is not about coding, it's about X"

With due respect, in my experience as someone who did not major in CS, it was a rough first few years because I had weak knowledge of data structures, almost no knowledge of computer networking (showed itself why managing containers etc), didn't know even the very basics of bash/linux.

Nowadays, when I work with CS majors vs non majors, it has noticeably been more difficult to get the latter group up to speed and productive. Of course there have been notable exceptions (there always are when it comes to people matters)

- Paper site: https://cs.uwaterloo.ca/~csk/hat/

- Paper: https://arxiv.org/abs/2303.10798

- news: https://phys.org/news/2023-06-uk-hobbyist-stuns-math-world.h..., https://www.discovermagazine.com/the-sciences/at-long-last-h...

if you have to pass the interviews at the jungle company...

For a single manager setup, high concentration is one of the best ways to beat the market. Not necessarily the best way to invest, but if you want to have a shot at beating the market (and you're not using a specific trading strategy(ies) a la Rentech) you need to hold concentrated portfolio. Then you just try to get as much attention on CNN as possible when you're picks are doing well and stay out of the limelight as much as possible when you picked wrong.

You're differentiated from the competition primarily by generative AI? Or are there other things that make Dart stand out.

Out of all the project management tools I've worked with Linear seems to be the best. But I'm always interested in innovation in this space.

"When I graduated from MIT in 2008, I failed many job interviews. I claimed "The people hired over me are not better. They are just good at interviewing." My poor attitude kept the number of job offers at zero. Eventually I learned that all of my successful classmates had spent time to prepare. So I solved a few practice problems and landed a job with Microsoft in Redmond."

Cannot believe it. I guess I don't know anything about AI

Found this website many years ago while still in undergrad, while frantically googling solutions to math problems in college.

~8 years later still think it's a really good reference.

Aren't there already a lot of startups doing this kind of thing? MosaicML comes to mind but there definitely have been others in the not too distant past. Why do startups keep getting funded in this space?

I guess time passes faster than I want to admit but it seems like not too long ago 120k base salary was considered good compensation.

I've recently been looking for a software engineering job at early stage startups. It seems like many are willing to pay 180-200k base salary. Is this normal in the bay area now?