Live data from Hacker News

ChatGPT vs. open source on harder tasks

github.com

41–50 of 70 posts

Re: ChatGPT vs. open source on harder tasks

#41

Earlier quoted context omitted.

are we going to now invent a programming language that communicates with LLMs? I find that funny

Check out https://lmql.ai/

Can someone please compare guidance with lmql? I don’t wanna learn multiple programming languages to handle LLMs as that defeats the whole point.

Re: ChatGPT vs. open source on harder tasks

#42
post #5

Open source will be behind always since it is harder to organize a large group of people and once it publishes it will be copied by big players, however if an organization like the original OpenAI gets formed that is truly non-for-profit and support the community, I believe it can beat big players. I think only Meta is the company that can support such an organization at the moment.

I wonder why Meta keeps publishing their models for free. They don't seem to be doing much with their own research. What's the benefit for them then?

Re: ChatGPT vs. open source on harder tasks

#43

Earlier quoted context omitted.

Please elaborate. So far it seems promising to me, but I started using it just recently.

for example see this: https://itsbehnam.com/DetachGPT-Switching-to-Open-Source-Unc...

And their "what's next?" links to a project that relies on langchain[0].

[0] https://github.com/imartinez/privateGPT

Re: ChatGPT vs. open source on harder tasks

#44

[flagged]

What? These notebooks and posts by the authors are extremely helpful regardless of what toolchain you're using. It's also the case that a significant minority of HN has unfavorable views towards LangChain for being complicated and poorly documented software.

Those 5/6 example are not that complicated and are quite common (plus they didn't share why they chose those exact examples and not others!!!) , thus there utility and if they want to make them vialable to others they should make them independently in clear way and not to write "long article" to hide those example and entangled with their MS tools.

Sorry but this give bad name to what "pure research" should act like (it's smells like marketing from miles).

There are so much red flags (also here in the comments & the "surprised conclusions") - open your eyes and be more critical thinker.

Re: ChatGPT vs. open source on harder tasks

#45

[flagged]

"Please don't post insinuations about astroturfing, shilling, bots, brigading, foreign agents and the like. It degrades discussion and is usually mistaken. If you're worried about abuse, email hn@ycombinator.com and we'll look at the data."

https://news.ycombinator.com/newsguidelines.html

https://hn.algolia.com/?sort=byDate&dateRange=all&type=comme...

Re: ChatGPT vs. open source on harder tasks

#46
post #45

[flagged]

" Please don't post insinuations about astroturfing, shilling, bots, brigading, foreign agents and the like. It degrades discussion and is usually mistaken. If you're worried about abuse, email hn@ycombinator.com and we'll look at the data. " https://news.ycombinator.com/newsguidelines.html https://hn.algolia.com/?sort=byDate&dateRange=all&type=comme...

Thanks - I will

Re: ChatGPT vs. open source on harder tasks

#47

Earlier quoted context omitted.

I agree, I only use 4 because by far the thing that matters most for my usage is the quality of the output at this stage in the game. But 3.5 is generally available, fast, and costs a WHOLE LOT less for API users; those are real capabilities that matter though by "capable" you only meant the quality of the output. It's worth comparing to 3.5 also.

At first I was skeptical of the difference between 3.5 and 4 but there really is a large gap in the models understanding of complex issues between them. I make a habit of always selecting gpt4 but forgot to yesterday. Within 3 responses I could immediately tell I was interacting with a less capable model.

Small tip, you can bookmark https://chat.openai.com/?model=gpt-4 to avoid the click

Re: ChatGPT vs. open source on harder tasks

#48

I'm employed by Microsoft, but not in any relation to the authors of this tool or this post. First time I saw github.com/mirosoft/guidance was on the HN front page, actually :) I've been waiting for a tool exactly like guidance, something that lets me compose prompts the way I think about prompts. Langchain was too much of a headache for me. Playing with guidance, it feels like this is how programmatically interactin…

are we going to now invent a programming language that communicates with LLMs? I find that funny

I've been thinking about this a lot recently. Communicating with LLMs using Lobjan for less ambiguity in text, or some LLM optimized language that can inject the most amount of meaning per token. Or writing in a AI Optimized Programming Language that is easier for it to parse and reason about

Re: ChatGPT vs. open source on harder tasks

#49

Earlier quoted context omitted.

Please elaborate. So far it seems promising to me, but I started using it just recently.

for example see this: https://itsbehnam.com/DetachGPT-Switching-to-Open-Source-Unc...

That just says "I got an error with it", hardly an indictment.

Re: ChatGPT vs. open source on harder tasks

#50
post #5

Open source will be behind always since it is harder to organize a large group of people and once it publishes it will be copied by big players, however if an organization like the original OpenAI gets formed that is truly non-for-profit and support the community, I believe it can beat big players. I think only Meta is the company that can support such an organization at the moment.

I wonder why Meta keeps publishing their models for free. They don't seem to be doing much with their own research. What's the benefit for them then?

I think their strategy is to weaken their opponent by building strong opensource models, they know they have lost the race to Microsoft and trying to go open source so people would not use other models.
Post reply on HN