The AI that validates its own mistake #Shorts

What if an artificial intelligence could approve its own mistake?

When a model writes both the code and the tests, both can start from the same mistaken idea. The tests then pass, the program seems to work, and yet it does something nobody wanted.

That’s why asking whether the code works is not enough. It needs to be checked against an independent expectation: a clear business rule, a real-world case, or a person who understands the problem.

Artificial intelligence can speed up programming; deciding which result is correct remains our responsibility.

Full episode: https://youtu.be/oA-QauDJsfI

🤖 AI-generated content: the script, voices, and images in this episode were produced using artificial intelligence tools.

#Shorts