iswapna_

I would suggest reading Strength to Strength by Arthur C. Brooks. I do not agree with everything in it, but it does talk about the common problem of wanting to shift to a life of meaning and connections and possibly giving back. I am not sure if everyone ends up finding a purpose, but some do, myself included. I am deeply thankful for that. Looking at baby pictures is helpful to me, my kids, friends etc. How long a way we have come.

:) yea and here we are talking abut UPI

LLMs are trained to predict a bunch of tokens (GenAI produces text) from all the previous seen tokens, based on the data it was trained on. It does not understand anything about the spatial relationships like lines, objects etc in an image. "Not even the people who built them" - We have no real understanding of how LLMs work, yet. Traditional ML theory (classification/regression/clustering) largely does not apply to LLM's emergent capabilities like coding, arithmetic and reasoning. No such theory exists today. People are trying.

Does it make a difference if they have had internships or have open source contributions or a strong github profile with non trivial projects?

Would anyone want to build skills just for the joy of building? Is everyone who signed up wanting only a job? will leave the network as soon as they land a job? what would you do?

Me: Professional network for upskilling: https://www.thelabcompany.co/

I am working on the MVP for https://www.thelabcompany.co/ the professional network for Upskilling. Solo founder. Experimented with asking LLM for a skill graph of AI skills from git. That went nowhere. Now looking to do something simpler - RAG + memory of user feedback to guide the user on fun projects to build that also include cutting edge skills.