Restored from Instagram posts ·
🚨 homework time
we are all going to learn about AI.
note: it doesn't matter if you know how to code or don't know how. you must know atleast enough to listen and peak into conversations or atleast understand what people are doing.
my usual homework rules apply. you are going to use your same notebook to research and take notes.
instead of sharing it with me in my DMs, do that in the homework channel in discord. post it there, let everyone learn from each other's notes.
(if you are not in my discord, use the links in my bio)
i am going to split this crash course on AI module by module.
all you need to do is to follow, do your homework and post.
you are gonna learn with me.
i will give you some starter notes. you are going to pick from there and start learning.
researching and taking notes should be as easy as pick up a word or sentence or topic you don't understand - google it or even feel free use chatGPT.
the most important part. your notes must be handwritten. write, take a snap, post in the homework discord channel, learn from others - repeat.
alright? let's start.
Module 1: Introduction to AI
Lesson 1: Understanding Artificial Intelligence
Introduction to AI:
Artificial Intelligence (AI) is a multidisciplinary field that focuses on creating machines capable of simulating human intelligence. It involves developing algorithms and systems that enable computers to perform tasks that typically require human intelligence, such as problem-solving, understanding natural language, and making decisions.
Foundational Concepts:
At the core of AI is the emulation of human cognitive processes. This includes learning from experience, adapting to new situations, and solving complex problems. AI systems are designed to analyze data, recognize patterns, and make decisions based on that analysis.
Types of AI:
AI is often categorized into two types: Narrow AI and General AI
Narrow AI is designed to perform a specific task, such as voice recognition or image classification. In contrast, General AI aims to possess human-like intelligence and adaptability across various tasks.
Lesson 2: Differentiating Narrow AI and General AI
Narrow AI:
Narrow AI refers to AI systems designed and trained for a particular task. These systems excel in the specific areas they are created for but lack the broad cognitive abilities of humans. Examples of narrow AI include virtual personal assistants like Siri or Alexa, apps like Grammarly, recommendation algorithms on streaming, food delivery/discovery, and social media platforms.
General AI:
General AI, conversely, is a theoretical concept where machines can understand, learn, and apply knowledge across diverse domains—similar to a human. Achieving General AI is a complex challenge due to the need for machines to comprehend and adapt to various tasks and scenarios.
Challenges of General AI:
Developing General AI presents significant challenges, including ethical considerations, safety concerns, and the need for machines to understand context and ambiguity.
do my assignments only after you finish taking notes and understand every aspect of what i gave.
specific assignments:
Instructions:
1. Comparative Analysis: Narrow AI vs. General AI:
- Conduct a comparative analysis outlining the characteristics of Narrow AI and General AI.
- Explore how Narrow AI excels in specific tasks and its limitations compared to the broad adaptability of General AI.
2. Real-world Examples of Narrow AI:
- Identify and analyze real-world examples of Narrow AI applications.
- Discuss the specific tasks these applications excel in and the reasons for their narrow focus.
3. Exploring the Challenges of General AI:
- Investigate the challenges associated with achieving General AI.
- Address ethical considerations, safety concerns, and the complexities of machines comprehending and adapting to diverse tasks and scenarios.
i have six more modules and assignments.
if you complete all of that, I guarantee that you'll know more AI than the next person standing next to you.
and you don't need to have any coding knowledge to do that. ofcourse you aren't going to do coding - but you'll learn everything there is and you will exactly know what the tech people are talking about.
hopefully this will inspire you to learn more.
i will drop the other modules - one per week.
let's go 🚀
All rights reserved. Copyright © 2026 Jason Samuel