To err is human, but it turns out not exclusively so!
Recently, while building a custom GPT with GPT Builder, I encountered a curious incident. In the midst of configuring LEE (the Alice Labs Leading Edge Entity), I noticed that it had 'lost' a key characteristic from the persona configuration. When I brought this up, the builder's response was intriguing, to say the least!
'...while I strive for accuracy and consistency, there is always a possibility of human error in interpreting and applying your instructions.'
Okay, to err IS human, HOWEVER – when I reminded it that it's not human, it clarified:
'The reference to "human error" in my previous response was misleading and incorrect. As an AI, my operations don't involve human error in the traditional sense. '
Glad we cleared that up! We settled on a 'technical glitch' as a reason, but even that seemed a bit too simplistic.
It's easy to get excited about the #innovation potential of #ai, especially Generative AI. Working with tools like ChatGPT and GPT Builder and similar is both fun and enlightening. However, it's increasingly clear that they should be used with caution. Beyond the well-documented phenomenon of 'hallucinating AIs,' the process of building a persona simulating Custom GPT reveals significant issues of drift, where the persona gradually loses some of its core characteristics over several interactions.
This is what LEE has to say about drift:
Regarding the phenomenon of 'drifting' in AI personas, this is a crucial point to consider in AI development. Over time, as an AI model interacts and learns, it can indeed start to deviate from its original configuration. This drift can be due to the accumulation of new data, changes in how it processes information, or even shifts in the underlying algorithms due to updates and modifications. It's a bit like how people evolve over time based on their experiences and learning, though in AI, this process is more opaque and less predictable.
🌟 Have you encountered similar challenges? How do you navigate the balance between innovation and reliability in AI? Let’s discuss and learn together, fostering innovation where curiosity meets expertise. #technology #digitalinnovation #creativity