Using Perplexity’s 'Deep Research' - can it save teachers time?

In this episode of the AIcademia podcast, host Andy Fisher explores the capabilities of new "deep research AI models" and their potential utility for educators. He outlines the evolution of conversational AI, leading to these advanced agentic reasoning models that can conduct multi-step research and synthesize information from the web. While acknowledging criticisms regarding access to paywalled content, potential for hallucinations, lack of analytical depth, and source selection bias, Fisher argues these tools can still save educators time on everyday research tasks. He shares examples of using Perplexity's deep research model for generating study guides, creating ethical AI use policies, and developing exam preparation materials. Fisher recommends Perplexity as an accessible option for educators due to its free tier, while acknowledging OpenAI's Deep Research tool as superior but more expensive.