O1 Preview is close to AGI because it rivals or surpasses human capabilities in various tasks, such as completing a year-long thesis in an hour, and is comparable to a good grad student in usefulness.
Embodiment is not necessary for AGI because most valuable tasks, like scientific modeling and software development, do not require physical presence. An API can control external resources, making physical embodiment redundant.
Between 13% and 65% of jobs are at risk for automation without robots, depending on whether you consider only sedentary jobs or include office jobs.
Enterprise adoption will be slow due to risk aversion, lack of trust in new vendors, and a wait-and-see approach until economic proof is evident. Big tech's history of over-promising and under-delivering also contributes to this hesitance.
The primary feedback loops for AI safety include market feedback, enterprise feedback, military feedback, government feedback, and regulatory feedback. These loops will influence the safety and commercial viability of AGI products.
Open-source AI models will likely be 6 to 12 months behind proprietary models but may offer more creative solutions due to constrained resources. However, they may lack the scale and funding of flagship models.
Full AGI is expected to be achieved by the end of 2024 or in 2025, with continued advancements in model capabilities and optimizations.
Human exceptionalism arguments, such as AGI not having true understanding or real experience, are irrelevant because the economic and scientific value of AGI's outputs are measurable and valuable, regardless of subjective experiences.
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