AI's Impact on Programming and Expertise

AI's Impact on Programming and Expertise

Assessment

Interactive Video

Computers

9th - 12th Grade

Hard

Created by

Aiden Montgomery

FREE Resource

The video discusses Nvidia CEO Jensen Wong's prediction about the future of programming in the age of AI. While Wong suggests that AI could eliminate the need for traditional programming, the speaker argues that programming skills remain essential due to the precision required in coding. The video emphasizes the importance of problem-solving skills in programming and explores how AI can assist non-programmers in creating prototypes. The speaker concludes that AI will complement rather than replace programmers, enhancing productivity and innovation.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What surprising prediction did the Nvidia CEO make about the future of programming?

AI will have no impact on programming.

Programming will become more complex.

AI will enhance the need for programming skills.

Coding will become obsolete due to AI advancements.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the Nvidia CEO view the role of AI in programming?

AI will make programming more difficult.

AI will allow everyone to become a programmer using natural language.

AI will have no effect on programming.

AI will replace all programmers.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a major limitation of using English as a programming language?

It lacks precision and can lead to misunderstandings.

It is too complex.

It is not widely used.

It is too simple.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the key difference between programming and computer science according to the transcript?

There is no difference between programming and computer science.

Computer science is about writing code, while programming is about problem-solving.

Programming is easier than computer science.

Programming is about writing code, while computer science is about problem-solving.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is natural language considered inefficient for complex programming tasks?

It is too fast.

It is too expensive.

It is not supported by AI.

It requires too much interaction to achieve precision.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the 'door problem' in game design illustrate?

The complexity of problem-solving in programming.

The simplicity of game design.

The ease of using AI in game design.

The irrelevance of programming skills.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main takeaway about the future of programming and AI?

AI will assist programmers and enhance their capabilities.

AI will completely replace programmers.

Programming will become obsolete.

AI will have no impact on programming.

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