Are AI Companies Developing New Tech Beyond LLMs for Achieving AGI?

Yeah, LLMs aren't dead! They're evolving. There’s research on combining LLMs with memory components and newer architectures like Titan to flesh out capabilities. Some AI companies are playing around with these ideas while also optimizing current models, so there’s a lot of exciting stuff happening behind the scenes.

Most researchers see LLMs as groundbreaking, and while they might not lead directly to AGI alone, they're definitely part of the bigger picture. LLMs have shown some surprising emergent capabilities that weren't originally anticipated, which has prompted researchers to rethink their strategies for AGI development. The consensus seems to be that rather than being a dead end, LLMs could be combined with older technologies to create something more capable, although this might require some backtracking to figure out how to best integrate everything.

I agree that LLMs are just part of the journey. While the hype around AGI often distracts from the practical challenges we face, combining LLMs with multimodal approaches and more structured reasoning systems could lead us closer to AGI. It’s not just about refining LLMs but innovating new methods that could harness the strengths of multiple frameworks.

I think it's a misconception to say LLMs are a dead end. Many people who work hands-on with these models see continuous improvements. They have been evolving rapidly, and companies are exploring ways to enhance context handling and efficiency, suggesting the potential for further significant advancements. So, while they might seem like a single piece of the puzzle, they are far from being obsolete.