In this episode, we dive into the tricky topic of AI usage and attribution. We've been exploring the practical applications of AI tools like Perplexity AI to streamline our research and writing processes. But when should we cite the AI, and how much transparency is needed? We discuss this topic and share our hot takes. Then we demo using  @knowledgebegins to tackle research-based tasks, from finding relevant sources to summarizing key points. Tune in to hear our candid conversation on navigating the evolving norms around AI usage. We'll share our thought process, any lessons learned, and how we're approaching this issue. Whether you're curious about Perplexity AI or wrestling with AI citation dilemmas, this episode has practical tips to optimize your tech toolkit.For more on our conversation, check out the episode page ⁠⁠here⁠⁠.Want to build your business like we have? Join us over at Notion by ⁠signing up with our affiliate link⁠ to start organizing EVERYTHING you do.Head over to our website at ⁠⁠⁠hitechpod.us⁠⁠⁠ for all of our episode pages, send some support at ⁠⁠Buy Me a Coffee⁠⁠, our ⁠⁠⁠Twitter⁠⁠⁠, our ⁠⁠⁠YouTube⁠⁠⁠, our connection to ⁠⁠⁠Education Podcast Network⁠⁠⁠, and to see our faces (maybe skip the last one).Need a journal that's secure and reflective? Sign-up for the ⁠Reflection App⁠ today! We promise that the free version is enough, but if you want the extra features, paying up is even better with our affiliate discount.

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