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? New to AI? Confused by the buzzwords? We got you.
In the first episode of WTF is AI?, we explore what AI really is—no hype, no fear-mongering, and no jargon.
✔️ AI vs ML vs Deep Learning
✔️ How AI “learns” from data
✔️ What changed to make AI go mainstream
It’s clear, honest, and full of analogies that actually stick.

Reference List & Further Reading

General AI Concepts:

  • Russell & Norvig. Artificial Intelligence: A Modern Approach
  • Stanford’s “AI Index Report” (https://aiindex.stanford.edu)
  • Google’s “AI for Anyone” Guide: https://ai.google/education/

On Transformer Models:

  • “Attention Is All You Need” (Vaswani et al., 2017)
  • OpenAI’s GPT-3 and GPT-4 papers
  • Illustrated Transformer Guide by Jay Alammar: https://jalammar.github.io/illustrated-transformer/

Ethics & Society:

  • Kate Crawford – Atlas of AI
  • Ruha Benjamin – Race After Technology
  • Timnit Gebru’s work on algorithmic bias
  • AI Now Institute: https://ainowinstitute.org

Accessible AI Tools (Try it Yourself):