>Capital and land ownership is all that will matter assuming we don't completely redesign our economic and political system. Pretty scary.
Agreed. My concern isn’t really remotely about any of the accomplishments of generative AI. Frankly in my daily life I’d welcome readily available access. As it stands now it’s sort of a mixture of analytics and creativity without consciousness as we best understand it, so GPT itself isn’t going to murder me and take over the world.
The real issue is who owns these things, how you access them, how effects will ripple through a labor based economy, and how we’ll adapt (or not) our current economic system. As it stands for awhile we’ve been catering to the capital ownership group. If that doesn’t have a change in direction then I fear the implications of much of this in daily life. There’s still a fair bit of specialization and domain knowledge needed to leverage these tools to understand the questions to ask (I.e prompts to generate both around LLMs and the context of information fed to them) but they can certainly in many cases behave as multipliers that could reduce the amount of staff needed in some creative roles or eliminate some all together.
This isnt a new dilemma as arguably technology has been shifting the labor market for centuries, the question is how and if it can reshape well this time or if we need to fundamentally rethink these concepts of labor and capital ownership. That’s my major concern.
Agreed. My concern isn’t really remotely about any of the accomplishments of generative AI. Frankly in my daily life I’d welcome readily available access. As it stands now it’s sort of a mixture of analytics and creativity without consciousness as we best understand it, so GPT itself isn’t going to murder me and take over the world.
The real issue is who owns these things, how you access them, how effects will ripple through a labor based economy, and how we’ll adapt (or not) our current economic system. As it stands for awhile we’ve been catering to the capital ownership group. If that doesn’t have a change in direction then I fear the implications of much of this in daily life. There’s still a fair bit of specialization and domain knowledge needed to leverage these tools to understand the questions to ask (I.e prompts to generate both around LLMs and the context of information fed to them) but they can certainly in many cases behave as multipliers that could reduce the amount of staff needed in some creative roles or eliminate some all together.
This isnt a new dilemma as arguably technology has been shifting the labor market for centuries, the question is how and if it can reshape well this time or if we need to fundamentally rethink these concepts of labor and capital ownership. That’s my major concern.