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- Is Coding Dead? AI's Takeover - What the CEO of Nvidia Thinks
Is Coding Dead? AI's Takeover - What the CEO of Nvidia Thinks
Discover the CEO of Nvidia's perspective on AI potentially replacing coding. Find out how advancements in artificial intelligence could change the role of programming in the future and what it means for the workforce and education.
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Video Summary & Chapters
1. AI's Impact on Coding
Discussion on AI replacing traditional coding techniques.
2. Evolution of Programming Languages
Overview of the historical progression towards simplified coding languages.
3. AI's Growing Influence
The increasing role of AI in generating code and its implications.
4. Democratization of Coding
How AI code assistance is making coding more accessible to a wider audience.
5. Layers of Abstraction
Explanation of hardware and software layers in computers and their functions.
6. Layers of Abstraction 🧠
Understanding the hierarchy from machine code to programming languages.
7. AI Coding Assistants 🤖
Exploring the integration of AI as a layer of abstraction in coding.
8. Voice-Powered Coding 🗣️
Witnessing a demonstration of AI interpreting voice commands to generate code.
9. Debugging with AI 🐛
Utilizing AI tools like Gemini to debug code based on video recordings of bugs.
10. Introduction 🌐
Overview of AI's impact on coding and the emergence of coding tools.
11. AI Coding Tools Comparison 🛠️
Comparison of various AI coding tools like GitHub Co-Pilot and ChatGPT.
12. Challenges with AI Coding 🤖
Issues faced when using AI to generate code and its limitations.
13. Advancements in AI Coding 🚀
Progress in AI coding tools like Gemini 1.5 and their capabilities.
14. Future of Coding and AI 🤔
Discussion on the role of AI in coding and the importance of human involvement.
15. Human Role in Coding 🧑💻
The necessity of human creativity and problem-solving in coding alongside AI.
16. Value of Human Coding
Comparison between human-coded and AI-coded creations.
17. Coding's Value Debate
Insights on the value of coding and its future.
18. Core Skill: Problem Solving
Emphasis on problem-solving over coding itself.
19. Embracing Change in Coding
Adapting to new technologies and approaches in coding.
20. AI's Impact on Coding
Discussion on AI's role in shaping the future of coding.
21. Future of Coding
Predictions on the direction coding is heading towards.
22. AI's Proficiency in Coding
Expectations for AI's coding capabilities in the near future.
23. Closing Thoughts
Final remarks and invitation for audience opinions.
Video Transcript
is AI going to completely replace coding.
The CEO of Nvidia seems to think so.
I want to say something and it's going to sound completely opposite of what people feel.
Over the course of the last 10 years, for 10 years, almost everybody who sits on the stage
like this would tell you, it is vital that your children learn computer science.
Everybody should learn how to program.
And in fact, it's almost exactly the opposite.
It is our job to create computing technology such that nobody has to program.
And that the programming language is human.
Everyone in the world is now a programmer.
This is the miracle of artificial intelligence.
The country is the people that understand how to solve a domain problem in digital biology
or in education of young people or in manufacturing or in farming.
Those people who understand domain expertise now can utilize technology that is readily
available to you.
You now have a computer that will do what you tell it to do.
It is vital that we upskill everyone and the upskilling process I believe will be
delightful, surprising.
A mod mistake, the CEO of Stability AI also has similar thoughts on this.
There are no programmers in five years.
No programmers in five years.
So those are you with kids who you were having, you know, with Python lessons and so forth.
Maybe it's instead helping them to understand how to ask great questions or give great
directions or prompts.
I think we always have to look at the unchanging with versus the inevitable.
So an inevitable is 41% of all code on GitHub right now is AI generated.
chat GPT can pass a new level three program or exam and it will run pretty much on a Macbook or
a phone this year, this year, right now. Yeah. And to some degree, I personally agree with these guys.
I don't necessarily agree with the fact that people should stop learning how to program.
I think there is still value. There is still merit to that. And I will get to that a little bit
later in this video. But I do believe in the future probably even sooner than the five years that
a mod is talking about here, probably within the next year or two, most code will be written
with AI and not by a human typing it. Not only do I think that humans won't need to write code
in the future, I also believe that this was inevitable and was always the direction coding was
heading in. Throughout the history of programming languages, every new language that came along
was designed to make it easier and easier and easier for people to create code. If you look back
in the 1950s. We had Coball, Fortran, Lisp. These were all very, very complex programming languages
that were a very, very specialized skill in order to create code with this. In the 1960s,
there was Algo 60 and Basic, which made programming a little bit easier. Now, I'm not personally
a programmer myself. I've learned a little bit of code. The first coding language I ever learned
to play around with was the basic programming language. And I was actually able to figure
out little bits of it and code a little bit myself with it where I was not at all able
to code when I messed around with Cobalt or Fortran. Then in the 1970s, we got sequel,
we got C, we got Pascal and we got small talk one that I'm not really that familiar with.
But these three are right here all made what came before it even easier to use. And you
came from this algal 60 and basic eventually led to Pearl and there's sort of a trackable lineage.
But then in the 1980s, we got Objective C and C++ and Pearl, which simplified these programming
languages even more, making it even easier for a larger amount of people to get involved in
creating code. And then in the 90s, we got an explosion of new programming languages as more and
more people were starting to use the internet, but these languages were also slightly easier
