Part 7/8:
Zion emphasizes that navigating these choices will be a monumental task for future leaders, as the consequences of prioritization could have long-lasting impacts across society.
Power Concerns and Feasibility
Beyond just manufacturing, Zion warns of the rising energy requirements associated with AI implementations. Should the industry succeed in scaling GPUs, the electricity consumption could rise dramatically—potentially tripling.
Moreover, the expectation that we will generate more AI computations while actually utilizing less efficient older chips could create a paradox where power demands are high but output remains limited. This underscores the need for a critical re-evaluation of our current approach to AI development and its practical applications.