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AI from the Inside: How Machines Learn, Think, and Fail

SAT Score Range

•

5 sessions

•

+12

This series ended on August 19, 2025. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

AI is everywhere—but how many people actually understand how it works?

In this series, we’re going under the hood. You’ll learn how machines learn, how they think (sort of), how they create, and how they sometimes get it very, very wrong. No coding required—just your curiosity, focus, and willingness to explore beyond the surface.

We’ll break down:
🧠 How machine learning actually happens (in plain language)
🔗 How neural networks “think” and make decisions
✍️ How AI writes, draws, and even fakes reality
⚠️ Why AI fails—and why that matters

This is a deep-dive for real learners—not just a casual tour of AI tools. If you’re the kind of person who loves asking “But how does this actually work?”, this is your space.
✅ No prior knowledge needed.
✅ No coding required.
✅ Just bring your brain—and your questions.

Tutored by

Ashi D 🇮🇳

Certified in 1 topic

View Profile

Hey, I am Ashi I am from India, a high school senior and I had prep for JEE for 3 years. I plan on going to UofT While my passion is AI, knowing its vast capabilities but I still love maths and physics I am also a poet btw, so if you ever plan on doing anything metaphorical or just having a chat about AI, feel free to DM me!

Schedule

✋ ATTENDANCE POLICY

Even though the sessions aren’t officially linked, this series is designed to build up your understanding step by step—so I strongly encourage you to come to every single class if you can.

If something comes up and you can’t make it, no stress—just try to let me know in advance. Communication matters, and it helps me keep the group energy strong.

SESSION 1

8

Jul

SESSION 1

Other Topics

Other Topics

Tue 2:15 PM - 3:15 PM UTCJul 8, 2:15 PM - 3:15 PM UTC

🧩 Session 1: How Does Machine Learning Actually Work? (Linear regression, decision boundaries simplified)

AI isn’t magic—it’s math. In this session, we’ll break down how machines “learn” from data without diving into overwhelming technical jargon. You’ll discover how simple models like linear regression help machines find patterns, how decision boundaries separate choices, and why AI can make mistakes.By the end, you’ll see that machines don’t “think”—they just spot patterns, and sometimes those patterns surprise even the people who built them.
SESSION 2

15

Jul

SESSION 2

Other Topics

Other Topics

Tue 2:15 PM - 3:15 PM UTCJul 15, 2:15 PM - 3:15 PM UTC

🧠 Session 2: Neural Networks—How Machines “Think” (Sort of)

How does a machine recognize faces, recommend songs, or predict what you’ll type next? The answer lies in neural networks—inspired by brains but nothing like them. We’ll explore how these systems process information, what “layers” mean, and how they “learn” through something called backpropagation (but explained in plain English!).By the end, you’ll understand how machines can seem smart without having the faintest clue what they’re doing.
SESSION 3

29

Jul

SESSION 3

Other Topics

Other Topics

Tue 2:15 PM - 3:15 PM UTCJul 29, 2:15 PM - 3:15 PM UTC

📝 Session 3: Natural Language Processing—How AI Reads, Writes, and Fakes

How does AI write essays, poems, or even fool people into thinking it’s human? Welcome to the world of Natural Language Processing (NLP). In this session, you’ll learn how models like ChatGPT actually work, how they predict words, and why sometimes AI sounds brilliant—and sometimes hilariously wrong.We’ll also ask: Can machines really understand language, or are they just guessing very, very well?
SESSION 4

5

Aug

SESSION 4

Other Topics

Other Topics

Tue 2:15 PM - 3:15 PM UTCAug 5, 2:15 PM - 3:15 PM UTC

🎨 Session 4: Generative AI—How Machines Create Art, Images, and More

AI can paint pictures, compose music, and write stories—but how? In this session, we’ll dive into Generative AI: how models like DALL·E, Stable Diffusion, and ChatGPT create new things from scratch. We’ll pull back the curtain on diffusion models, text-to-image generation, and AI creativity.We’ll also discuss the big questions: Who owns AI art? Can machines be creative? And how do we tell what’s real anymore?
SESSION 5

19

Aug

SESSION 5

Other Topics

Other Topics

Tue 2:15 PM - 3:15 PM UTCAug 19, 2:15 PM - 3:15 PM UTC

🚨 Session 5: Why AI Fails—Bias, Black Boxes, and Hallucination

For all its brilliance, AI is far from perfect. In our final session, we’ll tackle the darker side of AI: bias, black box decision-making, hallucinations (when AI makes things up), and ethical dilemmas.Why does AI sometimes make harmful mistakes? Can we ever fully trust machines? And how do we stay curious but cautious in this rapidly changing world?This session is about critical thinking—not just what AI can do, but what it should do.

Public Discussion

Please log in to see discussion on this series.

Jul 8 - Aug 19

7 weeks

60 mins

/ session

SCHEDULE

Tuesdays

2:15PM