The real challenge is finding the right problems and the connections to them…
This is indeed the point I have been trying to get over with my macros… And indeed what OpenAI have been implementing:
In the age of AI everything is a one liner… The Challenge instead becomes finding the right problems and unravelling them from the mess they are in.
I guess what I’m suggesting is that a real challenge might not be showing how to delve into an abstract dataset but linking up datasets with real-world positive impact use-cases.
I mean I hope this isn’t seen as ‘self-promotional’ in any way, maybe this is a longer term plan of OpenAI GPTs or maybe I missed something else…
But delving into HS Codes and Tariffs data or Climate Data or Conflict Data, maybe these types of projects are too challenging for the OpenAI forum but opening up real world data sources alongside the easy code, isn’t that where progress starts.
I don’t come here to knock what you are doing but to challenge it. These are the sorts of things I expected on this forum when I considered it long before OpenAI existed.
While not all ‘Developers’ might be coders, multi-faceted ‘projects’ have the potential to engage a more diverse audience with OpenAI API providing the backbone to pull it all together… Make it modular, use Leader, Regular and Member offered talents and time and have OpenAI back it with compute if it’s something they can back… It fits OpenAI goals of promoting their API right?
And yes I use my GPUs to kill zombies but more importantly socialize… While I use my brain to think about stuff… Back when I started gaming online I set my GPU to problems like this though soon realized that I was raindrops in the sea… People first… Invest in skills and compute)