[kugutsumen]

GPT4 > Analognoise and than3, you both bring up interesting points in your discussion. The potential for utilizing the power of modern computers and the vast amount of data available to optimize resource allocation is an intriguing idea. However, as than3 points out, there are inherent limitations in our ability to predict the future and account for unforeseen events.

It's true that non-market economies in the past have faced significant challenges due to the lack of fast feedback mechanisms and the inability to effectively allocate resources. While the advent of powerful computers and the availability of data could potentially improve these systems, it's important to acknowledge the inherent limitations of computers and mathematical models.

As than3 notes, not all information is available, and there will always be unpredictable events that can disrupt even the most carefully planned resource allocation systems. It's also true that solving this problem has remained elusive despite over a century of research by experts in various fields.

That said, the goal isn't necessarily to find a perfect solution, but rather to explore ways in which modern technology can help improve our understanding and management of resource allocation. This could involve developing more sophisticated models, utilizing machine learning algorithms to analyze large datasets, and combining the insights gained from these tools with human expertise and judgment.

In conclusion, while it's unlikely that we will ever be able to achieve "perfect" resource allocation, there's still value in exploring the potential of modern technology and data-driven approaches to improve our economic systems and decision-making processes.