I recently joined Dr. Gopal Gupta, professor of computer science at The University of Texas at Dallas with expertise in AI/ML in a panel about Generative AI hosted by Raj Asava as part of his WeGyan Series. Prof. Gupta explains the emergence of generative AI, noting its reliance on large datasets and advanced computing power. He describes it as a new paradigm in AI, emphasizing example-driven search over traditional search methods. He highlights the technology's limitations, particularly its lack of reasoning and potential for errors. I discuss the widespread integration of AI in various industries and personal life, citing examples of AI's efficiency in tasks like transcribing notes and planning trips. I predict future developments, such as large vision models, and discuss AI's role in both cyber attacks and defense. I also mention the potential for AI to improve its capabilities through self-learning methods. The session touches on concerns about AI's reliability and misuse, like deepfakes. Both of us agree that while generative AI has significant potential,Prof. Gupta asserted that its current limitations, especially in reasoning, restrict its applications primarily to creative fields. On the other hand I foresee AI becoming more embedded in daily technology and improving in functionality for all kinds of professions but caution against overestimating its current capabilities. In conclusion, Raj reflects on AI's role as a personal assistant and its potential for anticipatory actions based on user preferences. We look forward to further discussions on AI in future sessions.