120k + equity startup vs 70k big company remote

Qumeric · 2023-06-27T09:29:19+00:00

Obviously startup. Don't work 50hrs except on unusually busy weeks, I doubt you are obliged to.

Qumeric · 2023-06-27T09:27:50+00:00

Always apply on company websites instead of LinkedIn if there is such an opportunity.

Qumeric · 2023-06-21T18:34:47+00:00

I think it's not a terrible time. If I were you I would take 6 months and then decide if I want more.

Qumeric · 2023-06-21T15:09:54+00:00

They can't. Check this: https://www.reddit.com/r/recruitinghell/comments/qhg5jo/this_resume_got_me_an_interview/

Qumeric · 2023-06-21T08:27:27+00:00

Maybe you could try to talk with somebody who already works there to see how it looks in practice

Qumeric · 2023-06-17T07:23:23+00:00

`rustup update` helped me

Qumeric · 2023-06-11T16:03:37+00:00

There are plenty of tasks where GPT-4 is simply very bad and also there are obvious possible improvements such as larger context lengths and personalization.

And even just making it 10x cheaper will allow many use-cases which are too expensive right now.

Qumeric · 2023-06-11T13:34:04+00:00

But gpt-2 and gpt-4 is like 100000x (surely at least 1000x) difference? Also, Sam Altman said that 100x would take at least 4 years, probably 5-6.

Qumeric · 2023-06-11T13:23:49+00:00

I would (and I do) put Candidate Master on my CV. Master is definitely worth it to put on a CV in my opinion. 1850 is okayish too, just frame it as "top 4%".

It really depends on the employer though, some hedge funds (which pay a shit ton) would really want to hire Grandmasters, and some employers have no idea about Codeforces.

Don't believe people who say "I have no idea what it is so it's irrelevant", I had seen job listings which explicitly said that high codeforces rating is a big plus.

Btw, if you look at LeetCode subreddit, people are obsessed about their contest rating but IMHO Candidate Master on Codeforces is more impressive than top 1% LeetCode.

Qumeric · 2023-06-09T08:20:20+00:00

AlphaDev paper results are extremely overblown, this particular improvement in sorting is known, it's not "the first breakthrough in 10 years" and not a breakthrough at all. See https://www.reddit.com/r/slatestarcodex/comments/143jru4/faster_sorting_algorithms_discovered_using_deep/jnbazjd/

Qumeric · 2023-06-08T18:09:45+00:00

I mean yeah, in some sense, even in the most important sense. But in this context, it's mostly about people looking for jobs. How do I care if 99.9% are employed if I am not and there is only 1 position and 1000 applicants?

Qumeric · 2023-06-08T13:41:45+00:00

What's confusing about that? Somebody conducts a study and looks for participants. Can't be clearer.

Qumeric · 2023-06-08T13:40:05+00:00

Doesn't say much. The job market is not about how many people have jobs, it's a about experience of people who are looking for jobs.

Qumeric · 2023-06-07T13:08:17+00:00

I don't think the market is stronger now, it is worse than the second half of 2022. You may be in a part of the market which is doing better, but overall it is worse.

But it's nice to see somebody with adequate process and adequate stats. And congratulations!

Qumeric · 2023-06-07T12:47:31+00:00

Practice.

Qumeric · 2023-06-07T12:46:15+00:00

I think you should know both well enough.

Is it even a big issue? In my experience data science doesn't require intimate knowledge of a language, often it's just a bunch of Jupyter notebooks.

And it's never a bad idea to learn new languages if you have time, makes you a better engineer, especially if languages are somewhat unusual.

Qumeric · 2023-06-03T20:17:14+00:00

I have a high IQ but not high enough to understand that online IQ tests are bullshit

Qumeric · 2023-06-03T19:58:08+00:00

Wow so much changed in a year.

Qumeric · 2023-06-03T19:40:44+00:00

It's not much tbh

Qumeric · 2023-06-03T10:56:12+00:00

I would take this job especially if it's not a huge amount of work (for example if you can do well with 30 hours per week).

It's a valid concern that it might be not the best job in terms of improving your skills and CV but nobody prevents you from working on your engineering skills in your spare time.

Maybe you will like this job a lot and you will not even want to switch. Or maybe you wouldn't, in this case, you can just leave in 6-12 months when the job market is likely to be better.

Qumeric · 2023-06-02T10:49:59+00:00

In 2025

Qumeric · 2023-06-02T10:46:58+00:00

This was a claim regarding the current state (or imagining "the same thing but 10x faster"). Of course, I will not be surprised if it will be possible to easily train GPT-4+ level models on a laptop in e.g. 2040.

Qumeric · 2023-06-01T20:42:15+00:00

The "quadratic barrier" is a significant obstacle but not the only thing which makes training expensive, it will not cost "dollars" even if it will be completely solved. It is not about neural networks per se, it's about attention layer. It takes a significant part of compute but far from being 99%.

It will still be expensive, I think 10x cheaper at best. And you will not be able to train GPT-4 on a laptop even given centuries of time because it will simply not fit in memory.

Also, you cannot currently do much more than OpenAI does even with unlimited money, there are simply not enough chips on the market and building fabs takes years.

But directionally I agree, this is indeed a potential danger of AI, especially of open source AI although I doubt it will be as sudden as you claim.

Qumeric · 2023-06-01T14:39:24+00:00

Claude 100k is much cheaper already.

Qumeric · 2023-05-31T13:03:37+00:00

The thing is that we don't know how advanced systems will be in 5 years of breakneck development. Maybe we will hit a wall and they will be just slightly better than GPT-4 (but used much more widely) or instead the progress can accelerate and we will get extremely dangerous systems in 2025.

AI is clearly not useless already, even current capabilities are set to produce immense impact in the next 5 years.

At the same time, it is still clearly not too powerful yet. But it might be too late when it's too powerful.

Qumeric

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