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Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

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Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

#131

Post by daliusd »

phendrenad2 wrote: post #127
noduerme wrote: post #125

I'm just waiting out React, using my own much cleaner SPA framework for the last 10 years that's only about 5k LOC and avoids a lot of debouncing and fragmentation issues. From that three.js diagram, it looks like React should turn into a red giant at any moment. Can't wait.

React has already jumped the shark, people just haven't realized it yet. The backlash will be big. I think most people will jump to Preact or Vue.

More details are welcome. React seems to be doing fine and why Preact and not Solid for example?

Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

#132

Post by equasar »

comcuoglu wrote: post #17
BadCookie wrote: post #16

Interesting data, but I think the percentage of remote listings is misleading. Many “remote” jobs now require you to live within commuting distance of a particular city, usually SF or NY.

I agree, I've realized too late that I should have introduced a "Hybrid" category in this.

Another thing to improve this, is to ask posters to add GLOBAL_REMOTE, COUNTRY_REMOTE or something that indicates is not local remote only (within the same country).

Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

#133

Post by ec109685 »

CuriouslyC wrote: post #89
foolswisdom wrote: post #84

I think it's bad to stack bars in a graph, because it means you can't properly gauge the second layer (for example, the remote jobs quantity, at the beginning of the results section). Better to have two bars side by side (for each timestamp), one for remote, and another for not remote.

Stacked bars are the right choice when you care more about the magnitude of the sum and less about the precise relative breakdown. Separate bars are the right choice when you're comparing multiple things that are similar and their combined magnitude isn't meaningful.

Could you have a the separate bars and a total line to capture both?

Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

#134

Post by ilaksh »

krick wrote: post #114
ilaksh wrote: post #104

Earlier quoted context omitted.

You really don't have to use langchain. I usually don't except on a few occasions I used some document parsing submodule. The APIs between different providers are actually pretty similar, largely close to the OpenAI API. The reason to use a paid service is because the models are superior to the open source ones and definitely a lot better than what you can run locally. It depends on the task though. For this task, I…

Well, I mean, it appears langchain just technically doesn't support structured response for Ollama (according to the link above). But, as I've said, I have absolutely no idea what all this middle-layer stuff actually does and what may be the reason why different vendors have different integration capabilities in this regard. I'm totally new (and maybe somewhat late) to the domain, literally just tried right now to au…

1. Use temperature 0. Anything over that is asking for randomness, which not useful unless you actually want it to say something random rather than following instructions.

2. Use the best/largest model possible. Small models are generally stupid. phi-3 might work as an exception of a very well trained tiny model. Very large models are generally dramatically smarter and better at following directions.

3. Tell it to output JSON and give it examples of acceptable outputs.

4. The API for OpenAI and Anthropic is very very similar to ollama. The models are vastly better than llama3 7b. You can basically make some minor modifications and if you have the temp right I bet it will work.

Personally I think that langchain will just make it more complicated and has nothing to do with your problem, which is probably that you used a tiny rather dumb model with a higher than optimal temperature and didn't specify enough in your prompt. The biggest thing is the size and ability of the model. Most models that will run on your computer are MUCH MUCH stupider than ChatGPT (even 3.5).

Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

#135

Post by xyc »

krick wrote: post #114
ilaksh wrote: post #104

Earlier quoted context omitted.

You really don't have to use langchain. I usually don't except on a few occasions I used some document parsing submodule. The APIs between different providers are actually pretty similar, largely close to the OpenAI API. The reason to use a paid service is because the models are superior to the open source ones and definitely a lot better than what you can run locally. It depends on the task though. For this task, I…

Well, I mean, it appears langchain just technically doesn't support structured response for Ollama (according to the link above). But, as I've said, I have absolutely no idea what all this middle-layer stuff actually does and what may be the reason why different vendors have different integration capabilities in this regard. I'm totally new (and maybe somewhat late) to the domain, literally just tried right now to au…

You can run llama.cpp and structured output with GNBF. There are tools to convert JSON schema to GNBF.

Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

#136

Post by gloosx »

l5870uoo9y wrote: post #5

Surprised to see Redux featured so prominent in JS frameworks section, since it is so often criticized while many praise newer competitors like Zustand.

It is really common for both Redux and React to be mistakingly labelled as frameworks by the people who don't really understand that these are libraries providing specific narrow piece of functionality leaving the architectural decisions and the overall application structure up to the developer.

Chat GPT seems to have statistical awareness of this fact, yet people generally choose not to figure it out

Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

#137

Post by gloosx »

It is not comprehensive to compare actual JS frameworks and UI/state management libraries. Obviously React will eclipse the frameworks since it is a simple interface library used by the frameworks themselves (like Next.js or React Native)

Also seems a bit silly to include the JS runtime itself in comparison with the JS frameworks. In fact it is almost 100% of the time used along with a front-end framework/library at least on a build-level. I would not put a ton of trust in that frameworks demand data ;)

Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

#138

Post by metadat »

hluska wrote: post #109
krick wrote: post #100

I'm more interested in technical side of this, but I'm not seeing any links to GitHub with the source code of this project. Anyway, I have a tangential question, and this is the first time I see langchain, so may be a stupid one. The point is the vendor-API seems to be far less uniform than what I'd expect from a framework like this. I'm wondering, why cannot[0] this be done with Ollama? Isn't it ultimately just syst…

This won’t directly answer your question, but it hit the front page here a while ago and I think you may enjoy it: https://www.octomind.dev/blog/why-we-no-longer-use-langchain...

Why we no longer use LangChain for building our AI agents

https://news.ycombinator.com/item?id=40739982 (14 days ago, 300 comments)

Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

#139

Post by mikeqq2024 »

gloosx wrote: post #137

It is not comprehensive to compare actual JS frameworks and UI/state management libraries. Obviously React will eclipse the frameworks since it is a simple interface library used by the frameworks themselves (like Next.js or React Native) Also seems a bit silly to include the JS runtime itself in comparison with the JS frameworks. In fact it is almost 100% of the time used along with a front-end framework/library at…

Yes I also noticed nodejs is included in comparison with the JS frameworks.

Re: Insights from over 10,000 comments on "Ask HN: Who Is Hiring" using GPT-4o

#140

Post by mikeqq2024 »

bobbywilson0 wrote: post #64

Cool analysis with GPT-4o! I was doing some messing around with the same dataset recently around the "Who is Hiring" and "Who wants to be hired". Although I was just using pandas and spacy. (I was job supply and demand with the US FED interest rates here: https://raw.githubusercontent.com/bobbywilson0/hn-whos-hirin... ) I can actually see how nice it would be for an llm to be able to disambiguate 'go' and 'rust'. How…

Interesting that the job supply is highly co-relevant to interest rate. Thanks for sharing.
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