Their zappier demo was uninspiring. They are trying to appeal to the mainstream (non devs) users when their actual value is the API. Everyday users don´t have access to propriatery data that makes the LLM Bots valuable.
This makes me think that open source models are the future, for other reasons as well. No company is going to give them OpenAI their data to make bots, regardless if they won't train on the data. So what OpenAI can do at the moment is to focus on everyday user, and see where the biggest use cases are.
Furthermore, as Sam alluded to, this confirms to me that multi-LLM architectures (AutoGen, AutoGPT, BabyAGI etc) is the future. It´s about pushing the ways in which we can use these models, i.e. using different architectures because it will be a while before we get into more powerful models. These is simply no compute for it at the moment. The dust has yet to settle.
I disagree. There's a lot of folks using zapier that would like some light automation -- I have fielded requests from several -- who are not engineers and cannot build anything with an api. The bit where they built out the functionality with zapier and human instructions was aimed squarely at folks like this.
The issue is all open source models are made by huge companies with an indirect profit motive. There is too much scale advantage for open source models to be competitive in any field other than those which venture backed companies deliberately avoid (porn, illegal stuff, etc).
This makes me think that open source models are the future, for other reasons as well. No company is going to give them OpenAI their data to make bots, regardless if they won't train on the data. So what OpenAI can do at the moment is to focus on everyday user, and see where the biggest use cases are.
Furthermore, as Sam alluded to, this confirms to me that multi-LLM architectures (AutoGen, AutoGPT, BabyAGI etc) is the future. It´s about pushing the ways in which we can use these models, i.e. using different architectures because it will be a while before we get into more powerful models. These is simply no compute for it at the moment. The dust has yet to settle.