Explore The Mirror of Intelligence podcast as we discuss the history of AI since 1956, pattern recognition, and the difference between knowing and predicting.

AI tries to understand intelligence by building it. It’s like trying to understand how a bird flies by building an airplane; we’re looking in the mirror and trying to recreate the reflection.
I want to understand the core of AI


In this episode of The Mirror of Intelligence, AI is defined as a broad category of software designed to recognize patterns, learn from data, and produce useful outcomes. Rather than being a monolithic entity or a single brain in a box, it is described as a toolbox of specialized instruments. These tools, including neural networks and deep learning, allow software to perform tasks like rerouting traffic or flagging bank charges by connecting dots through data.
The term Artificial Intelligence was first coined in 1956, marking the beginning of a long-standing obsession with recreating intelligence. The podcast explains that while fields like psychology observe intelligence, AI researchers attempt to understand it by building it. This historical pursuit has led to the development of modern predictive software and LLMs, which act as a reflection of human intelligence through the lens of machine learning and pattern recognition.
The discussion highlights a crucial distinction between genuine knowledge and fancy pattern recognition. Using the example of a map app rerouting for a crash, the episode explores whether the software actually understands the event or is simply performing predictive analysis. Most modern AI, including deep learning models, functions by recognizing patterns in data to predict the best path forward rather than possessing a human-like consciousness or understanding of the situation.
"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."
"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."
"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."
"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."
"Reading used to feel like a chore. Now it’s just part of my lifestyle."
"Feels effortless compared to reading. I’ve finished 6 books this month already."
"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."
"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."
"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"
"It is great for me to learn something from the book without reading it."
"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."
"Makes me feel smarter every time before going to work"
