How would you build this (which costs both infra and human time to build and operate for the collection of knowledge) to only have every commercial entity soak it up for private gain? It would be swank to have something like Wikipedia, Stack Overflow, etc where you could compound returns on teaching the system, but someone has to pay for it, and lots of folks don't want their work (free or otherwise) to just go into…
I was considering creating a data cooperative - democratically owned and governed by its members. To ensure sustainability, revenue could come from AI companies and other stakeholders paying for data access, much like how news publishers are compensated today. What do you think?
Ask HN: Why Isn't Anyone Building a Global Brain for LLMs?
11–17 of 17 posts
Re: Ask HN: Why Isn't Anyone Building a Global Brain for LLMs?
#12Earlier quoted context omitted.
> Commercial price/deal servers I suspect are just around the corner. I agree. I think there's going to be a big trend towards paid APIs and paid access to data.
Wow, thank you so much! I came across the Model Context Protocol framework but didn't take the time to explore it in depth.
Re: Ask HN: Why Isn't Anyone Building a Global Brain for LLMs?
#13I'm confused why search + LLM wouldn't work for this?
The issue isn't search or LLMs, it's the data sources. I believe we can create something better than the traditional web for sharing and accessing information in the LLM era. What do you think?
Re: Ask HN: Why Isn't Anyone Building a Global Brain for LLMs?
#14Earlier quoted context omitted.
The issue isn't search or LLMs, it's the data sources. I believe we can create something better than the traditional web for sharing and accessing information in the LLM era. What do you think?
Hmm i think the issue with any large data set is indexing + querying. At https://usefind.ai/ this is a fundamental problem we've been trying to tackle. What kind of structure do you think would work?
Re: Ask HN: Why Isn't Anyone Building a Global Brain for LLMs?
#15Earlier quoted context omitted.
Hmm i think the issue with any large data set is indexing + querying. At https://usefind.ai/ this is a fundamental problem we've been trying to tackle. What kind of structure do you think would work?
You’re right, did you check CircleMind? Could it be useful in your case? https://www.ycombinator.com/companies/circlemind
Re: Ask HN: Why Isn't Anyone Building a Global Brain for LLMs?
#16Earlier quoted context omitted.
You’re right, did you check CircleMind? Could it be useful in your case? https://www.ycombinator.com/companies/circlemind
I checked your project, that’s really good and I saw that you’re working on Q&A that will be very useful!
Re: Ask HN: Why Isn't Anyone Building a Global Brain for LLMs?
#17Show HN: Comind – A cognitive layer for the ATProtocol/Bluesky social network | https://news.ycombinator.com/item?id=42975350