AI won't save you, color contrast mistakes, the 3 layers of AI context
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AI won't save you, color contrast mistakes, the 3 layers of AI context
"In our current AI hype cycle, there is a feverish hope that AI will save us. The point of view is that AI will make us more efficient, effective, and resilient, and in some instances, this will be true. On the other hand, the pessimist (bearish) point of view is that AI is also reducing human input, eliminating thinking roles, and concentrating wealth and power."
"Fifty years ago, productivity growth in advanced economies began to slow down. Productivity growth - the component of GDP growth that is not due to increases in labor and capital - is the primary driver of rising incomes. When it slows, so does economic growth as a whole. This makes it an urgent trend to understand. Unfortunately, the most popular explanation for why it's happening might be wrong."
Current AI hype contains a feverish hope that AI will save humanity by increasing efficiency, effectiveness, and resilience. A contrasting bearish view holds that AI reduces human input, eliminates thinking roles, concentrates wealth and power, and could threaten human survival. Judgments about AI depend on perspective and focal length, so attention should concentrate on the mechanisms that make AI work. Included topics examine long-term productivity slowdowns in advanced economies, methods for rapidly assessing people, and the concrete criteria that differentiate senior engineering roles. UX design aims to elevate unheard voices and encourage critical thinking among practitioners.
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