The Thinking Machine: Why AI Learns Like Us (And Fails Like Us)
Episode 1 of 8
Nov 10, 2025
← Previous
Next →
About this episode
We used to program computers with strict rules: "IF this happens, THEN do that." It worked great for rigid tasks, but failed miserably at messy human reality—like recognizing a cat or understanding sarcasm.
Today's AI doesn't follow rules. It learns from mistakes.
In this inaugural episode of Understanding the AI Revolution, we break down the fundamental shift in computing that made modern AI possible: the Artificial Neural Network.
We cover:
- The trap of old code: Why traditional programming hits a dead end in the real world.
- The Digital Boardroom: Understanding artificial neurons as "weighted votes" rather than complex math.
- Learning by failure: How "backpropagation" is just a massive, automated post-mortem.
- The feature, not bug: Why AI hallucinations prove these machines are thinking more like humans than we realized.
If you want to understand why your AI assistant sometimes acts brilliant and sometimes makes crazy mistakes, you have to understand the brain it's built on.
🎧 This is Guide 1 in the Understanding the AI Revolution series.
P.S. - I’m developing these videos by feeding my personal notes, articles, and research papers into NotebookLM. These are AI-generated Deep Dive conversations, focused exactly on the topics builders need to know.
For those interested to know more on this topic, you can visit my blog where I will post on the topic discussed in this video
https://kiranbrahma.com/blog/neural-networks-deep-learning/
Today's AI doesn't follow rules. It learns from mistakes.
In this inaugural episode of Understanding the AI Revolution, we break down the fundamental shift in computing that made modern AI possible: the Artificial Neural Network.
We cover:
- The trap of old code: Why traditional programming hits a dead end in the real world.
- The Digital Boardroom: Understanding artificial neurons as "weighted votes" rather than complex math.
- Learning by failure: How "backpropagation" is just a massive, automated post-mortem.
- The feature, not bug: Why AI hallucinations prove these machines are thinking more like humans than we realized.
If you want to understand why your AI assistant sometimes acts brilliant and sometimes makes crazy mistakes, you have to understand the brain it's built on.
🎧 This is Guide 1 in the Understanding the AI Revolution series.
P.S. - I’m developing these videos by feeding my personal notes, articles, and research papers into NotebookLM. These are AI-generated Deep Dive conversations, focused exactly on the topics builders need to know.
For those interested to know more on this topic, you can visit my blog where I will post on the topic discussed in this video
https://kiranbrahma.com/blog/neural-networks-deep-learning/