👻 Hallucinations Explained Like You're 5
Building AI systems and writing about how they actually work. Master of AI @ University of Technology Sydney. Previously B.Tech CS with focus on IoT. I believe the best way to learn is to explain. That's why I'm documenting tech concepts with simple analogies (@sreekarreddy.com). AWS Certified • Azure AI Certified • Neo4j Professional • Google Data Analytics When not coding: exploring Sydney, working on side projects, and teaching tech to anyone who'll listen.
When AI confidently makes things up
Day 57 of 149
👉 Full deep-dive with code examples
The Confident Liar
You ask your friend about a book.
Friend hasn't read it, but says confidently: "Oh yeah! The main character is named David, and he lives in Paris!"
...The book has no David. It's set in Tokyo. 🤷
Friend made it up but sounded certain!
AI does this too. It's called hallucination.
Why It Happens
AI predicts the next word based on patterns.
Sometimes those patterns create plausible-looking but false information:
- Fake citations that don't exist
- Made-up statistics
- Wrong facts stated confidently
- Names of people who aren't real
Examples
❌ "The paper by Smith et al. (YEAR) shows..." (Paper doesn't exist)
❌ "The population of Sydney is way higher than it really is." (The number is made up)
❌ "Einstein invented the telephone." (Nope, that was Bell)
How to Avoid
- Verify important facts
- Use RAG (give AI real documents)
- Ask AI to cite sources (and check them!)
- Be skeptical of specific numbers/names
In One Sentence
Hallucinations are when AI generates false information that looks and sounds completely believable.
🔗 Enjoying these? Follow for daily ELI5 explanations!
Making complex tech concepts simple, one day at a time.