Perplexity Computer adding ability to split tasks between local and cloud models

Perplexity's announcement of adding the ability to split tasks between local and cloud models to Perplexity Computer highlights a significant enhancement to their product's capabilities. This new feature will allow users to leverage the strengths of both local and cloud-based models, potentially leading to improved performance, efficiency, and flexibility. For website owners, this development means that they may soon see changes in how AI-powered tools and services interact with their sites. As Perplexity Computer's capabilities expand, website owners may need to reassess their AI bot tracking strategies to account for the potential increase in traffic from Perplexity-powered tools. This could involve updating their llms.txt files to reflect the new ways in which Perplexity Computer's local and cloud models interact with their websites. To prepare for this change, website owners can take several actionable steps: review and update their llms.txt files to ensure they are accurately tracking Perplexity Computer's traffic, monitor their website's traffic patterns for any changes resulting from the new feature, and consider adjusting their content policies to account for the potential increase in AI-generated content from Perplexity-powered tools.