In the early days, AI was considered a dirty word and often used as a buzzword, but now it's fashionable again, though its popularity may fluctuate over time.

The AI landscape is evolving, and the licensing model for different layers of AI technology will become increasingly important for standardization.

AI was once seen as science fiction, but the progress made in the last 30 years has been astounding, making it a practical tool for solving complex problems in science and engineering.

AI is somewhat mainstream now, but many people still think of it only as a chatbot and haven't grasped what's coming next.

AI is not a new concept; it has gone through cycles of booms and busts, and I believe we are now at a pivotal moment where the time for AI is finally here.

As AI models improve, agents are becoming more prevalent and capable, prompting the need for formal definitions to clarify their use.

AI has progressed to a point where it can reason effectively, which is a significant change from previous capabilities.

The definition of AGI has surpassed what many would have proposed five years ago, and these models are now smart and will continue to improve.

AI is a general-purpose technology that fundamentally changes how we build software and use machines, similar to the internet.