Lesson9 of 92 min

The Gen AI Revolution

In November 2022, one product put AI in the hands of everyone with a keyboard. Here's how we got there.

In one glance
  • 2017: Google invents the Transformer, the architecture behind every major AI model today
  • 2022: ChatGPT launches and reaches 100 million users in 2 months, the fastest product adoption ever
  • 2023: AI stops being a research topic and becomes a job skill
  • 2024–25: AI agents begin completing multi-step tasks on their own

The Timeline That Matters

2017

The Transformer

Google researchers publish "Attention Is All You Need." This one paper introduces the architecture that powers every modern AI model: GPT, Claude, Gemini, all of them. Without it, none of this happens.

2018–2020

GPT-1, 2, 3

OpenAI trains progressively larger models on progressively more data. GPT-3 stuns researchers. It writes essays, answers questions, and generates code without being specifically trained for any of them.

2021–2022

Image generation goes public

DALL-E, Stable Diffusion, and Midjourney launch. Anyone can now generate professional-quality images just by describing them. No design skills, no tools, no experience needed.

November 2022

ChatGPT

OpenAI wraps GPT-3.5 in a simple chat interface. One million users in 5 days. One hundred million in 2 months. The fastest consumer adoption in history.

Every company immediately forms an "AI task force."

2023

The race begins

GPT-4, Claude 2, Gemini, Llama. A new frontier model nearly every month. GitHub Copilot hits 1 million paid users. AI stops being a research topic and becomes a job requirement.

2024–2025

Agents and reasoning

Models gain the ability to reason through complex problems step by step. AI agents begin completing multi-step tasks on their own. MCP standardises how AI connects to external tools and data.

What November 2022 Actually Changed

Before ChatGPT, using AI required ML expertise. After ChatGPT, it required a keyboard.

Same underlying technology. Completely different barrier to entry.

A tired team standing behind a huge old computer covered in gears, with an hourglass and a calendar full of crossed-off days❌ Before Nov 2022
Hire a data science team. Collect training data. Fine-tune a separate model for every single task. Wait weeks for a result.
A single person holding an open laptop with a chat bubble and sparkles✅ After Nov 2022
Open a browser tab. Type what you need in plain English. Get a useful answer in seconds. No expertise required.

Most engineers working today started their careers in the "before." The shift happened in about 18 months.

What comes next is moving faster.