Verifying Complex Code still needs Expertise

In this clip Harrison Goode and Oliver Sulley explain how having powerful tools at your disposal comes with the responsibility of understanding how to use them effectively.

There have been instances where AI systems fail simple tasks like basic math or provide incorrect answers. This becomes apparent and easily correctable in simple cases. However, when dealing with complex tasks involving thousands of lines of code, lacking coding knowledge makes it impossible to verify accuracy.

It underscores the importance of competence and caution when using such tools in more intricate applications.

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