What “Learning” Means in AI

“AI is learning” sounds reassuring - but it leads us to expect understanding, judgment, and rapid improvement in ways AI simply doesn’t work.

In this episode of Everyday AI for Everybody, we break it down with one simple rule:

AI learning isn’t education - it’s calibration.

It’s tuning for accuracy, not learning for understanding.

We explain:

• Why AI doesn’t learn while you’re using it

• The difference between training AI and using AI

• How models adjust to past data, not live experience

We discuss the 5 steps AI models use to learn and answer questions. 

Key takeaway: Knowing how AI really “learns” helps you trust it appropriately and use it more effectively.

🎵 Music: 

Hiking by Alex-Productions & Efficsounds | https://onsound.eu/

https://www.efficsounds.co.uk

Music promoted by https://www.free-stock-music.com

Creative Commons / Attribution 3.0 Unported License (CC BY 3.0)

https://creativecommons.org/licenses/by/3.0/deed.en_US

🎙️ Hosts: 

Sundar & Dhanur

🎧 Podcast:

Everyday AI for Everybody