I’m looking for your thoughts on the following: It should be somewhat easy to teach these types of models to reach for a particular tool at times where they ne

I’m looking for your thoughts on the following: It should be somewhat easy to teach these types of models to reach for a particular tool at times where they need it, yes? I can instruct ChatGPT for example to tell me when it should use a calculator during a session. If instead I allow it to fall back to an external calc process, then suddenly, I have a chatbot that has reasoning AND better mathematical accuracy. Also: I’ve also been entertaining the idea of having multiple layers of GPT interact with one another. So you feed back some interaction into another GPT instance without context, and ask it for example how it would verify the accuracy of certain statements (and you can ask it for machine readable code, even). Finally, I know a lot of people who start playing a lot with GPT and get disheartened because they see the quality of responses isn’t there. But the fact ChatGPT has the capacity to reason, has chain of thought, has given me a newfound appreciation for how close to AGI we might be. It has also given me an appreciation for how much simpler humans are than we like to think. I’ve introspected a lot in the past months and often ask myself: is my speech any different than “predicting the next few words”? And I feel like it’s just text prediction with some more layers on top.