ChatGPT — why polish and packaging matters
It has been some time since OpenAI released the ChatGPT GPT-3.5 powered service that rocked the world and generated an unseen before interest in Machine Learning among the less tech and ML savvy part of the populace.
And in the discussions about it we can see two main camps — one that says ChatGPT is a revolution in ML that brings us closer to AGI (Artificial General Intelligence) and the other that counters the notion saying that it is just repackaged stuff we’ve been using for quite some time and there’s nothing novel in it.
So who’s right between them? In my opinion both of those groups are at least partially correct but focus on the wrong things and miss the big lesson that the release of ChatGPT shows us.
And what that lesson might be? It is pretty simple but many times ignored, especially by the more tech and research focused — product design and polish matters greatly for the Average Joe. Both of those groups focus on the fundamental science and research side of things (progress towards AGI being the most obvious one) while ignoring ChatGPT for what it is really — an useful, accessible and well-made product with real-world use cases.
The basic thing many from the enthusiast camp don’t understand (considering they don’t fully understand the tech and science behind it) is that ChatGPT is not a fundamental revolution in ML theory and that it doesn’t really bring us in that regard closer to the holy grail of AGI.
