Depends on how closely your value proposition or IP is attached to the underlying AI. It is still very early days of AI and if possible it is best to abstract the AI so that you can switch later if need be. Hope that helps.
@collabing I would agree to have options open. As far as the outages are concerned they usually happen on platforms which get used more. So from an infrastructure learning standpoint open ai will be definitely ahead.
hey bro, FOMI in the fast-paced world of AI is totally understandable. with the dynamic changes and launches, it's smart to think about redundancy and adaptability in your AI strategies.
it's about staying flexible and keeping an eye on emerging trends. what approaches are you considering for increasing redundancy? any insights or plans you'd like to share?
I think if what you're using now does what you need it to do, you really don't need to look elsewhere.
Whatever nifty new feature or innovation a different platform has now will eventually spill over into the one you're currently using. I have no interest in exploring different options.
I have spent time getting through the learning curve with Chat GPT, why make myself have to go through that again just because I don't want to miss out on a solution to a problem I don't currently have.
After a series of stressful days of work and study, I sought the advice of my doctor, who recommended Cookie Clicker as the solution to my problem. If you are like me, don't hesitate to try it.