About this Presentation
Can AI think for us? Should it replace or enhance the quality of our thinking? In this one-hour webinar, we explore how critical thinking is more important in the age of AI, and why the Thinking Processes are more relevant than ever. We will examine how to expose fragile assumptions hiding in seemingly robust logical arguments, why people struggle with planning in prerequisites, and how to break out of recurring “either/or” dilemmas where teams bounce between opposing behaviours without finding a real win-win solution. We will discuss, based on experience, why these situations occur and how to resolve them, then consider how AI should (and should not) be applied to help your thinking in each of these situations.
What Will You Learn
To help you get the most value from this session, we’ve highlighted a few key points. These takeaways capture the main ideas and practical insights from the presentation, making it easier for you to review, reflect, and apply what you’ve learned.
This session argues that the biggest AI skill is not prompt cleverness, but learning how to ask the right questions and provide enough context for useful answers. It treats AI as a qualitative tool that rewards better framing more than brute precision.
A key insight is that AI feels human enough to tempt overtrust, yet remains fundamentally alien in how it “thinks.” That tension matters, because people naturally anthropomorphize systems that can sound insightful, supportive, or emotionally engaged.
The presentation positions today’s AI moment in a longer arc, from early AI dreams and winters to the modern resurgence driven by algorithms, big data, hardware acceleration, and the transformer breakthrough.
Rather than offering hype alone, the session emphasizes discernment: beware sycophancy, recognize the jagged frontier, and understand that even wrong answers can still be useful when they move thinking in the right direction
Instructor(s)
Wolf McNally
Wolf McNally
Wolf is the CEO of Arciem LLC, the company that publishes Flying Logic. He conceptualized, designed and created Flying Logic in 2007, and remains the chief visionary and architect for future versions of the software. He started computer programming on an Apple II computer at the age of 12, got his first paid gig at 14, and became Sega Games' youngest employee at the age of 17. Wolf has not stopped coding since then.. For fun, Wolf likes to...code (not kidding). When he can be pried away from his keyboard, he enjoys bodybuilding, traveling with his wife Luna, and riding his motorcycle around the Las Vegas valley with friends.