I see your points, but I am more concerned about the unequal distribution of accessibility and regulation of AI. I believe that there is no turning back at this point, and that technology will continue to advance regardless of our concerns and actions. To mitigate these risks, we need to democratize accessibility, develop open-source code, and prevent large companies from making exceptions for themselves when pressuring governments to regulate AI more effectively.
Emergent abilities are consequences of unconscious self-improvement. The breaking point will be when AI can improve itself without direct human intervention. I think we will see that very soon. Definitely, the next few years will be the most exciting!
Recent advancements in AI research such as the emergence of ToM-like abilities in language models, suggest that we are making progress towards AGI (artificial general intelligence). Emergent abilities are a fascinating aspect of complex systems like LLMs and the development of ToM-like abilities in language models is a remarkable achievement. The ability to understand and attribute mental states to oneself and others has long been considered a uniquely human ability, so the emergence of ToM-like abilities in language models is a significant breakthrough.
The increasing language skills of language models may have led to the emergence of ToM-like abilities, demonstrating the potential for artificial intelligence to possess human-like cognitive abilities.
I still have more faith in open source AI like this: https://github.com/LAION-AI/Open-Assistant
Open source will be the key to creating uncensored language models (LLMs).
RushingRobotics_com OP t1_jd61h9l wrote
Reply to comment by [deleted] in From Narrow AI to Self-Improving AI: Are We Getting Closer to AGI? by RushingRobotics_com
I see your points, but I am more concerned about the unequal distribution of accessibility and regulation of AI. I believe that there is no turning back at this point, and that technology will continue to advance regardless of our concerns and actions. To mitigate these risks, we need to democratize accessibility, develop open-source code, and prevent large companies from making exceptions for themselves when pressuring governments to regulate AI more effectively.