Viewing profile — kingcai
kingcai
HN member- Joined
- Wed, Dec 06, 2017, 8:26 PM UTC
- HN karma
- 35
- Public activity
- 29 items
- HN profile
- View on Hacker News ↗
About kingcai
Bay -> LA (Go Bruins!) -> NYC
Recent public activity
-
comment
Comment #48900755
https://jcaip.github.io/ I actually recently updated this for the first time in 5 years!
- comment
-
comment
Comment #40378246
This is cool. Kudos to the team too - I feel like this is what engineerings all about.
-
comment
Comment #39772609
I've recently been in a rut and while I still have a lot further to go I've been feeling better over the last couple of days and here's what helped: - going to therapy - taking PTO…
-
comment
Comment #35586919
ML training is not as easily parallelizable as the other problems that have been explored. I'm not familiar with SETI but I know this to be true for folding@home. As you mentioned,…
-
comment
Comment #35102141
I graduated in 2020 and was considering doing a PhD in NLP as I had already been doing research at a lab. I ended up joining a series A startup, trying to turn research into produc…
-
comment
Comment #34976108
I like this post a lot, even if it's a somewhat contrived example. In particular I like his point about switch statements making it easier to pulled out shared logic vs. polymorphi…
-
comment
Comment #34946799
Hi, I wrote this blog post about startup equity a couple of years ago that answers a lot of the questions you asked, I hope you find it helpful. https://jcaip.github.io/Startup-Equ…
-
comment
Comment #34813757
In general I would say expert knowledge is more valuable. However, I think of knowledge as a pyramid - how high you can go is determined by how wide/strong your foundation is. In m…
-
comment
Comment #34778421
RTO = return to office
-
comment
Comment #34735583
Very uncommon for people to do ML locally nowadays. Almost everyone uses either cloud or has an cluster they ssh into. NVIDIA is still king for ML, very few people use AMD / M1, al…
-
comment
Comment #34504224
I work on FOSS (pytorch) that I used to use a lot during research. It feels like I've come full circle and I'm giving back. Also I'm well compensated and surrounded by smart and ki…
-
comment
Comment #34189701
It's somewhat common in the industry for your employer to give you a stipend to buy equipment / tools / learning materials you like. I would get him the gaming console, but otherwi…
-
comment
Comment #34000813
Absolutely brilliant!
-
comment
Comment #33847285
My total comp is ~300k, 200 of which is in cash.
-
comment
Comment #33640695
I think it's really hard to think up of curriculum for a "programming" class. It'd be hard to standardize across different professors. Also while I do think that more programming e…
-
comment
Comment #33616474
Startups are also not profitable yet and are reliant on fundraising in order to continue to operate. The fundraising market is bleak currently, so there's pressure to reduce burn.
-
comment
Comment #33158939
I found reading more code helped me to become a better programmer. It helps a lot that reading code (at least for me) is much faster than writing code, so you can do more of it.
-
comment
Comment #33158917
Old techniques are just as good as the new ones :) If you have a specific problem you are trying to solve, I'd recommend just reading papers and looking up things you don't underst…
-
comment
Comment #32490062
It's an unavoidable part of the job, but it's definitely not most of the work. I feel it's kind of like writing tests in SWE - something you do because it's beneficial even if it's…
-
comment
Comment #32489934
My best advice is to find people who do what you want to do and try to learn as much as possible from them. If you're interested in doing ML/DL research I think the best way to get…
-
comment
Comment #30124918
Other users advice about traveling, relaxing, and exercising is spot on, but probably not what you were looking for. Besides these are things you should do for a lifetime, not just…
-
comment
Comment #30124850
Sure. I don't work in the ecommerce space, but I think the big problem that industry is attempting to solve right now is - "how can we take off the shelf language models and use th…
-
comment
Comment #30122863
For academia: I expect that FAANG will continue to produce larger and larger language models as well. Probably new improvements in multi-task learning to keep on increasing model s…
-
comment
Comment #29513596
I saw this quote on a tombstone and it really resonated with me. What is success? To laugh often and much; to win the respect of intelligent people and the affection of children; t…