By "grounded", I mean the promises of crypto vs the promises of AI. IIRC, crypto was a little too idealistic in the promise of providing a digital currency wit

By "grounded", I mean the promises of crypto vs the promises of AI. IIRC, crypto was a little too idealistic in the promise of providing a digital currency without needing a central, trusted authority to back it. From my perspective, AI as we've seen it in the last few months simply provides a tool that can automate intelligent tasks easily. I think the distinction is fuelled more by the companies and leading figures pushing the latter. OpenAI's stewardship, concerns for safety and generally downplaying how amazing these tools are while not ignoring the real effects they could have make AI sound more "grounded" than peak crypto was. Or it could just be the folks I pay more attention to. > I disagree with calling this tech "AGI-adjacent", too, but that's not the part I'm calling out here I think this rests mostly on the definition of "General" here. Here, I'm talking about LLMs as general task performers, as opposed to models created for more specific tasks. LLMs have proven to be more general purpose, which I'd argue makes them closer to the AGI ideal than, say, a sentiment analysis model.