[jamestimmins]

Any 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.

[comcuoglu]

In total numbers I got 539 jobs saying that they want Rust experience and 695 want Go experience. I think I should have added another line-chart showing the programming language distribution over time, thanks for the idea.

[jamestimmins]

Thanks for looking this up. It's especially interesting bc if I search "golang" on LinkedIn jobs, I see 5,185 results (in the US), but I only get 148 results for "rust".

Hardly scientific, but shows the risk of using Hacker News to draw overly strong conclusions of language popularity.

[andrepd]

Using a 100 billion parameter LLM to `grep --count` surely is something

[codetrotter]

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.

[gammarator]

You can’t really trust that the LLM gets it right either, though.

[fragmede]

It didn't. As noted elsewhere, there the bubble cloud has Vue.js and "Vue Js", among others.

[t-writescode]

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.

[echelon]

> 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.

[comcuoglu]

While this made me laugh and there is some truth to it, the nice thing when running the process described in the blog post is that you don't need to know what or how you want to count - the LLM has the knowledge to classify it correctly enough to get good estimations. Go and Rust are both good examples of words that have multiple meanings and are pre-/suffix to many other words.

[IanCal]

It's not doing that though, and if you'd done classification tasks you'd realise the huge benefit that comes from taking a computationally expensive system and using it to solve one off problems that were very time consuming, and doing it easily.

The article says it cost ~$50. That's astonishing. That's 25 minutes of my billable time.

[snek_case]

Can't wait to be able to run this locally using electron.

[squeaky-clean]

There's 3 matches for " go " on this page (before writing my comment) but only 2 of them pertain to GoLang.

[hipadev23]

-

[localfirst]

how do you create these perfect tables with just text?

[genghisjahn]

We need LLMs for this?