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To me, the plugin model allows two things 1. single point of entry: you don't need ten different apps to achieve ten different outcomes. You can do it all righ
by Sai_ 3y ago
To me, the plugin model allows two things
1. single point of entry: you don't need ten different apps to achieve ten different outcomes. You can do it all right inside ChatGPT
2. Since I can have up to three plugins active inside ChatGPT (as of today), I can express more complex workflows than if I had one app each with no trivial way to stream data from one app to the next.
It's like Zapier for your ideas. You talk to ChatGPT > it extracts data from a plugin > you prod it along a bit more > it talks to a second plugin to do X > more chat > talk to third plugin etc etc.
Zapier itself only lets you flow data from one app to the next, not act on that data.
I expect that as the LLM evolves and matures, they will allow more plugins and start eating up different industries. E.g., why do you need a Google Drive when your ChatGPT can also store files for you?
- yyyk 3y ago>why do you need a Google Drive when your ChatGPT can also store files for you? If the idea is to keep the actual files rather than summaries, than there's an entire world of requirements (data storage reliability, access control, auditing, integration) where OpenAI etc. have no competitive advantage, and their own issues (e.g. prompt injections). LLMs are a bad fit whenever you need it to act like a computer, they replace human style processing. For math, get a calculator. In this case, I'd expect some way to interface to OneDrive or maybe even BackBlaze.