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Art Isn’t Dead, It’s Just Machine-Generated

Summary

The article discusses the implications of generative AI, or AI that can create new content, on the creative industry. It argues that while AI models can replace artists for many tasks, they will not replace programmers. This is because programming requires a high degree of correctness, while creative work products do not. Generative AI is seeing a lot of investment and growth at the moment, and its impact on creative work output is extreme. It is able to generate complete or nearly complete work output much faster and cheaper than a human artist could.

Q&As

What is the difference between code generation and image generation with AI?
The difference between code generation and image generation with AI is that code generation requires a human to verify that the code is correct, while image generation does not.

How does generative AI change the economic calculus for creating art?
Generative AI changes the economic calculus for creating art by making it cheaper and faster.

What is the point of this post?
The point of this post is to argue that creative endeavors are likely to be disrupted by AI long before systems building.

How will generative AI impact the creative industry?
Generative AI will impact the creative industry by making it easier to create knock-offs of popular albums and movies.

What is the difference between a system generated by AI and one created by humans?
The difference between a system generated by AI and one created by humans is that a system generated by AI is more likely to be correct.

AI Comments

👍 This is a very interesting article that makes a lot of valid points.

👎 This article is complete garbage and the author is clearly biased against art.

AI Discussion

Me: It's about how AI models will replace artists long before they'll replace programmers.

Friend: Really? I would have thought it would be the other way around.

Me: Yeah, I thought so too. But the article argues that it's actually easier to automate creative tasks than programming tasks.

Friend: That makes sense. I can see how an AI model could generate images or music, but I can't see how it could write code.

Me: Yeah, that's what the article says. It's going to be interesting to see how this plays out.

Action items

Technical terms

Artificial intelligence (AI)
A field of computer science and engineering focused on the creation of intelligent agents, which are systems that can reason, learn, and act autonomously.
Machine learning (ML)
A subfield of AI that deals with the creation of algorithms that can learn from and make predictions on data.
Deep learning (DL)
A subfield of ML that deals with the creation of algorithms that can learn from data that is unstructured or unlabeled.
Generative AI
A subfield of AI that deals with the creation of algorithms that can generate new data, such as images or code.
Facebook
A social networking website that allows users to connect with friends and family.
LinkedIn
A social networking website that allows users to connect with professionals in their field.
Twitter
A social networking website that allows users to share short messages with other users.

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