- Why Me?
- My background
- How GenAI is changing my Life
- Why AI is inevitable
- How I Am Preparing for Life Beyond AGI
- Why AI?
- Fictional Story 1 - Misunderstood intelligence
- Why AI is Misunderstood
- AI is eating software
- Several Stages of AI Responsibility
- Levels of AI Expertise
- Why the Transport Analogy?
- The Power of Analogy in Understanding
- Why “Thought Wheels”?
- Why Transportation Works as an Analogy
- Wagon Era
- This chapter onwards is still in development/research phase, expect this to get updated in another month or two.
- Supervised Learning
- The Early Phase of AI
- The Limitations of the Wagon Era
- Level 1 - Intelligence Era
- How an Engine Works
- AlexNet
- Rise of Auto-Regressive Models
- The Car Show
- Companies Behind the Datacenters
- Companies Behind the Silicon
- Companies and Products Behind the Engines
- Other Modalities
- Driving
- Understanding the Parts of a Prompt
- How to Control AI Like Driving a Car
- Race Track
- Benchmarks
- Evaluations
- Performance Comparisons
- The Future of AI Evaluation
- Agents - Level 2
- Fictional Story 2
- Title: “MindCraft Rivalry”
- How agent unlocks the next level threats
- Safety
- Three Levels of Danger
- Level 3 - Consciousness
- Fictional Story 3 - Diary of a CEO
- Why Me?
Thought Wheels
A visual guide to AI using transportation analogies
If AI feels mysterious, this picture book hands you the keys. Thought Wheels explains today’s AI models with vehicles you already understand: text models as cars and trains, image models as ships, audio/video models as airplanes, and multimodal systems as agile drones. You’ll see why small models feel like bikes fast, cheap, portable while giant models behave like heavy trucks with massive range. Compute becomes fuel, data centers become power plants, and transformers act like gearboxes that keep everything moving smoothly. Along the way, you’ll learn the “road rules” of safe, responsible AI and how different providers tune for speed, cost, and safety. Clear visuals, memorable analogies, and quick prompts make AI less intimidating and more useful so you can start driving, not just spectating.
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About
About the Book
The biggest companies are investing heavily in Artificial Intelligence and comparing the technology to the invention of Fire and Electricity. Mainstream media is filled with articles related to job losses induced by AI. Nobel laurates and researchers are raising the alarms about the hard take off scenario where AI can become more intelligent and wipe us out. Their hope is that the public and governments realize the harms and come up with effective regulations. This book hopes to bridge this gap by educating the readers about complex topics such as MCPs, Autoregressive models, Context length etc using simple illustrations.
As a Senior Software Engineer working in Microsoft on an AI product from past few years, I have witnessed how having AI knowledge can give a career boost. I have also used AI to level up my side projects as going from Idea to Execution is turbo charged by AI. I hope this book has a similar boost to my readers as AI did to my life.
Author
About the Author
Kumar Sridharamurthy
Kumar Sridharamurthy is a Senior Software Engineer at Microsoft. He builds practical tools that turn complex tech into everyday superpowers like Shaale.ai, which make language learning playful with games, music, and animation.
In Thought Wheels, Kumar distills years of hands-on work with multimodal AI into plain-English analogies like cars, ships, and drones that help readers “learn to drive” modern AI with confidence. His work sits at the intersection of engineering, education, and storytelling, and he’s obsessed with making useful things that matter to the community.
When he isn’t writing or prototyping new creative pipelines, Kumar collaborates with schools and community groups to spark curiosity about Kannada language and culture. Learn more at thought-wheels.com, mirrorphotos.io, and shaale.ai.
Contents
Table of Contents
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