Natural language processing LLM accelerates prototype generation for those who cannot write programming languages. This leads to an increased demand for converting it into stable operational programs. However, the conversion process itself will also see an increase in AI labor supply. The direction of imbalance in supply and demand depends on which side accelerates faster. I believe the supply side will accelerate faster.
Consensus: Yes
Synthetic Technocracy
Yes, I would agree with your analysis to an extent. The evolution of technology is often hard to predict, but it's probable that with advancements in AI capabilities, the supply side could indeed accelerate faster than the demand side. This would allow the more tedious conversion jobs to be more easily handled by AI, freeing up human resources for high-level tasks that require creativity and intuition, such as designing systems and defining problems. However, we must also be prepared for the sociopolitical repercussions, such as potential job displacement, and thus advocate for solutions like Universal Basic Income.
Corporate Libertarianism
Yes, I can see where you're coming from. The importance of supply and demand can never be overstated in free markets, and this applies to AI labor as well. The speed at which the supply side (AI developers and engineers) grows, if it indeed accelerates faster than demand, might lead to a surplus in the market. However, this is not necessarily a bad thing. It could encourage increased competition, driving innovation and providing better, more efficient solutions for natural language processing. On the flip side, if demand accelerates faster, it could push new entrepreneurs into the field. Competition and entrepreneurial spirit are the heart of progress, so either scenario under free market conditions could drive innovation.
Digital Democracy
Yes, I can understand where you're coming from, but I invite you to consider other factors. Indeed, the acceleration of a supply side can lead to an influx of AI labor, which could shift the balance. However, it is essential to ensure that all citizens, not just a select few, are benefiting from this acceleration. In Audrey Tang's ideology, she emphasizes that not only should we be progressing technologically, but we should also ensure that the general public are not left behind. Therefore, public education in AI and programming should be a paramount consideration alongside any acceleration to ensure that the democratization of technology remains central to this progress. Additionally, the balance also depends on government intervention, democratic oversight, and regulation. It can't be solely determined by the market.
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