Earlier quoted context omitted.
-
how do you create these perfect tables with just text?
[deleted]
Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
71–80 of 173 posts
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#72Earlier quoted context omitted.
Using a 100 billion parameter LLM to `grep --count` surely is something
Read the second part of what they said > it's hard to verify without code because there are so many false positives for "go" on any post. Hence grep being insufficient in this case.
You can’t really trust that the LLM gets it right either, though.
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#73I wonder how this would compare against a random sample of jobs on, say, Indeed or LinkedIn. My experience of Hacker News is that it’s a very biased group (in a good way) to the general industry.
I've heard that many of the jobs posted on general jobs boards like that are never intended to result in a hire. They are posted when the company already knows who they are going to hire, but are legally obligated to post the position, or when the company wants to manufacture evidence that "no qualified candidates" could be found locally.
There's usually tells that it's a compliance post.
Used to be very specific instructions about mailing a resume to an address with a reference number. And advertised only in the newspaper. But Immigration said they can't do that one anymore; has to be the same submission methods (email, webform, whatever) as an actually open position and advertised/listed in the same places too.
But they'll still have the other tells, which is very specific experience and education requirements which happen to line up exactly with their preferred candidate. Sorry, we did our best, but we can't find any local candidates with a 4 year BS degree, a minor in Clown Studies, and 3 years experience with very specific software that isn't used many places (experience most likely obtained at the hiring company during internship or while on OPT; or while on H1-B if this is in support of a green card, rather than in support of H1-B).
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#74Any chance you could run a comparison of the number of Rust vs Golang jobs over time? I seem to have noticed that Rust has gotten more common than golang in the job postings, but it's hard to verify without code because there are so many false positives for "go" on any post.
[deleted]
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#75Any chance you could run a comparison of the number of Rust vs Golang jobs over time? I seem to have noticed that Rust has gotten more common than golang in the job postings, but it's hard to verify without code because there are so many false positives for "go" on any post.
[deleted]
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#76Earlier quoted context omitted.
Using a 100 billion parameter LLM to `grep --count` surely is something
Using a 100B parameter LLM to overcome the large amount of experience required to learn how to do natural language processing one's self rather than using a library to do it sure is something. I should write a bot to analyze users and hide those who are actively and regularly negative online or on a particular forum and hide their comments.
> I should write a bot to analyze users and hide those who are actively and regularly negative online or on a particular forum and hide their comments.
Yes, please! I'd sponsor this work if you want donations.
A browser plugin would be even better.
I want to filter out (or at least highlight): ads, sponsored content, clickbait, rage, negativity, trolling, crypto (much of it anyway), assholes, rudeness, politically partisan, spam emails, etc.
If this could work on every website, and eventually every pane of glass (phone, etc.), it would be truly magical and absolutely game changing for the trajectory of the internet.
I want more signal and less negativity. And fewer people trying to sell me on things (unless those things are interesting ideas).
This is the correct way to fight the algorithm and the walled off platforms.
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#77Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#78Is 10,000 comments a large enough sample size to gain insights from?
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#79I wonder how this would compare against a random sample of jobs on, say, Indeed or LinkedIn. My experience of Hacker News is that it’s a very biased group (in a good way) to the general industry.
I've had few interactions with HN crowd as I've posted my availability for consulting/freelancing and I feel like I don't like the bias.
People needing freelancers for few weeks/months to complete projects where the requirements are glueing the usual APIs and solving the usual Safari bugs asking me Leetcode questions are out of their mind.
I am not applying for a full time position, I'm not a cofounder that is going to make or break your startup and no sorry I am not sharing your vision/mission whatever.
Discord is by far better for finding work in your domain and related to technologies you like, and you can ask for much more money because people already know you're experienced on the topics you share on that discord.
Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o
#80Is 10,000 comments a large enough sample size to gain insights from?
If you read TFA then you will see the answer is yes. Not deep insights though, it is basically just keywords and a few numbers.
I think bytes is generally a better metric than number of entries, naturally 10,000 books will have a lot more insight than 10,000 one-liners.