I’ve been following the conversation about Artificial General Intelligence (AGI) and its potential impact on our lives. While it’s exciting to think about the possibilities, I’m starting to wonder if we’re getting too caught up in the hype. The Reddit post I saw recently got me thinking – are we really close to achieving AGI, or are we just stuck in a cycle of incremental improvements?
The image shared in the post shows a graph of Large Language Models (LLMs) and their performance, which seems to be plateauing. It made me realize that maybe we’re not as close to AGI as we think. Maybe there are fundamental limitations to how far we can push these models, and we need to rethink our approach.
It’s not that I’m skeptical about the potential of AI to transform our lives. I’m just wondering if we need to take a step back, re-evaluate our goals, and consider alternative approaches to achieving true AGI. What do you think? Are we on the right track, or do we need to course-correct?