What if Zwifts race strategies were designed to be intentionally misleading, and the key to success lies in identifying the subtle patterns and flaws in the algorithms that govern the games AI, rather than simply following the recommended strategies, and how would one go about reverse-engineering these patterns to gain a competitive edge, considering the games constant updates and tweaks to the AI.
Would it be possible to develop a counter-strategy that exploits the AIs tendency to favor certain types of riders or tactics, and if so, what would be the most effective way to implement such a strategy without getting detected by the games developers, and would this approach be considered cheating or simply clever gameplay.
Assuming that the AI is designed to mimic real-world cycling dynamics, what are the implications of using Zwifts race strategies in real-world racing, and would the skills and tactics developed through the game be transferable to outdoor racing, or would they actually hinder a riders performance due to the differences between virtual and real-world environments.
Would it be possible to develop a counter-strategy that exploits the AIs tendency to favor certain types of riders or tactics, and if so, what would be the most effective way to implement such a strategy without getting detected by the games developers, and would this approach be considered cheating or simply clever gameplay.
Assuming that the AI is designed to mimic real-world cycling dynamics, what are the implications of using Zwifts race strategies in real-world racing, and would the skills and tactics developed through the game be transferable to outdoor racing, or would they actually hinder a riders performance due to the differences between virtual and real-world environments.