Readit News logoReadit News
hershey890 commented on -2000 Lines of code (2004)   folklore.org/Negative_200... · Posted by u/xeonmc
ccppurcell · 2 months ago
Hi I'm a mathematician with a background in graph theory and algorithms. I'm trying to find a job outside academia. Can you elaborate on the kind of work you were doing? Sounds like I could fruitfully apply my skills to something like that. Cheers!
hershey890 · 2 months ago
Look into quantitative analyst roles at finance firms if you’re that smart.

There’s also a role called being an algorithms engineer in standard tech companies (typically for lower level work like networking, embedded systems, graphics, or embedded systems) but the lack of an engineering background may hamstring you there. Engineers working in crypto also use a fair bit of algorithms knowledge.

I do low level work at a top company, and you only use algorithms knowledge on the job a couple of times a year at best.

hershey890 commented on Liquid Glass – WWDC25 [video]   developer.apple.com/video... · Posted by u/lnrd
thorio · 3 months ago
My first thought was: This seems like a very logical next step in order to prepare for future broader market adoption of AR applications and AR glasses.

Being a sceptic about the latter at first I must say, I wish the technology would finally allow having a "normal" pair of glasses with high resolution, no cable attached, AR overlay screens.

hershey890 · 3 months ago
Ditto. It seems Apple is preparing their users for the same UI that would be present on AR Glasses.

Rumor has it they ran an internal poll on whether their employees would purchase AI glasses which is their first step when developing a new product.

hershey890 commented on Rules for Negotiating a Job Offer (2016)   haseebq.com/my-ten-rules-... · Posted by u/rzk
taklimakan · 5 months ago
This is all very interesting, but is complete fiction for most readers. 99% of job seekers aren’t going to receive competing offers from multiple companies conveniently at the same time.
hershey890 · 5 months ago
> 99%…aren’t going to receive competing offers

Then it’s not for them. You don’t see me complaining about advice for plumbers bc I’m not a plumber. The advice is for the 1%. Anecdotally I know numerous people, including myself, who have been in this situation.

hershey890 commented on The GPU is not always faster   cowfreedom.de/#dot_produc... · Posted by u/CowFreedom
ramoz · 9 months ago
Simpler research could've shown that there is a physical data transfer cost.
hershey890 · 9 months ago
Yeah classic use cases of GPUs like deep learning have you transfer the weights for the entire model to your GPU(s) at the of inference and after you that you only transfer your input over.

The use case of transferring ALL data over every time is obviously misusing the GPU.

If anyone’s ever tried running a model that’s too large for your GPU you will have experienced how slow this is when you have to pull in the model in parts for a single inference run.

hershey890 commented on On Bullshit (2005)   press.princeton.edu/books... · Posted by u/kaladin-jasnah
hershey890 · 9 months ago
Related to this, I read Daniel Graber’s “Bullshit Jobs” (there’s a book in addition to the essay, but the essay gets the point across just fine) and the essay the “Gervais Principle” and they really helped me understand the government and the corporate world early on in my career.

https://web.archive.org/web/20190906050523/http://www.strike...

https://www.ribbonfarm.com/2009/10/07/the-gervais-principle-...

My personal takeaway was that much of our work involves complete BS. Either join a useful, innovative startup and make a difference or play your part in the farce and take your paycheck.

I still work hard in some roles, but now it’s to get a raise/bonus, or because I find the work fun. It’s not for the sake of working hard anymore. If you want to work hard, go dig a hole.

hershey890 commented on Managing High Performers   substack.com/@staysaasy/p... · Posted by u/thisismytest
ldjkfkdsjnv · 10 months ago
Theres generally no room for "high performance" in large corporations like Amazon and Google. There is room for getting work done quickly and to spec, but that's different than high output creative problem solving. The value in many businesses is that they have compartmentalized employees into high output replaceable cogs. High performing employees outside of startups and "innovation teams" are a risk to a business
hershey890 · 10 months ago
I’m at a FAANG right now and this couldn’t be further from the truth.

We basically bought out a ton of A- to A+ players from the rest of the industry and there are many high performers developing entire modules of core functionality themselves with a team of juniors and contractors supporting them. I also have a hunch they make $350-$750k.

u/hershey890

KarmaCake day6March 24, 2024View Original