kazamaloo

4 ms·

1.
by kazamaloo 3y ago
For a company to be as successful as OpenAI, two people won't cut it. OpenAI arguably has the best ML talent at the moment. Talent attracts talent. People come for Sutskever, Karpathy, and alike -- not for Altman or Brockman.
2.
by kazamaloo 3y ago
Not sure how the article knows "new" employees, but something doesn't click for me. H1B visas kick in on October 1st of each year. August 17th can only be for H1B transfers. Might still be a new employee, but definitely not s
3.
by kazamaloo 4y ago
I still regret not liquidating at the end of 2021 while all CEOs were selling their positions by the 10s of millions.
4.
by kazamaloo 4y ago
Flipping that iPad with 20, 22, and 25% tip presets for a takeout really grinds my gears. But even for non-tip services, people tend to use iPhone attachements to scan the card rather than using a POS machine in the US.
5.
by kazamaloo 4y ago
Not that the algorithms are impossible to explain but in some cases the real explanations might require explanations, too. But I think companies will probably get away with hand-wavy explanations like you get this recommendation because you
6.
by kazamaloo 5y ago
All companies try to get in on it, too.
7.
by kazamaloo 5y ago
Not the same thing. Check out other relevant responses here, too. In short, Home Depot or Lowe's are buying products to resell. They are the seller themselves. OP's argument is that Amazon is the platform facilitating the sale --
8.
by kazamaloo 6y ago
fwiw, there is substantial randomness in the process (worked at two of FAANG myself). Try to do mock interviews with your friends if it helps. You may be showing patterns that you think is correct, but actually quite the opposite (this is w
9.
by kazamaloo 6y ago
We used to have 3 PMs in our team of 20ish people. Two of the PMs left and NOTHING changed for us or our project. The idea of being relieved of process-related tasks is nice, but it rarely happens. You get pulled in to those timewasting mee
10.
by kazamaloo 6y ago
do you have good pointers?
11.
by kazamaloo 6y ago
Was asking the same question myself. I am also on the same boat -- flipping through the apps to compare the prices. I thought maybe we are the minorities and the general public just downloads a single food delivery app. The same goes for ri
12.
by kazamaloo 6y ago
I agree with you for almost everything you said. This case is definitely unusual. What I mean by conditional is that the person who approved it initially is not an actual reviewer. For your last sentence, I think Jeff uses that 2-week polic
13.
by kazamaloo 6y ago
what you refer to as "they" are two different entities.
14.
by kazamaloo 6y ago
It is common to submit for approvals hours before the deadline. However, if pubapprove process finds something that needs to be redacted, you have to withdraw the paper. That's basically the risk in it.
15.
by kazamaloo 6y ago
Technically you can submit it without pubapprove unless somebody rats you out and you might face some repercussions. Otherwise every paper is supposed to go through AI Ethics committee review along with other types of reviews.
16.
by kazamaloo 6y ago
Every paper we submitted went through a technical review as well as legal and IP reviews. They were along the lines of cite this, cite that, run these experiments etc. What's different in her case is that you don't see the names
17.
by kazamaloo 6y ago
It is not exactly a wholesale reject. She submits the paper to the conference first and asks for approvals later, which might be common if you are rushing for a deadline. This has the side effect of approvers forcing you to retract the pape
18.
by kazamaloo 6y ago
it is sort of a placeholder approval. The actual reviews may be done by a legal team, HR/PR, other researchers in the field etc.
19.
by kazamaloo 6y ago
She sends for approval 1 day before the conference deadline, proceeds to submit the paper with conditional approval, and waits for the actual approvals. It is common practice with one side effect: if reviewers don't like certain parts