The Progression Of AI And How It Applies In The Real World

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We are already seeing some use cases for AI. This is going to change what people usually consider to be the "arts".

In this video I discuss AI and where the lines are in the sand is. I delve into some areas where changes are already being felt.


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AI is good for some industries, but destroying others like you were talking about with stock photos. At one point, that was a decent little side hustle, but yeah, not anymore. That's done. Between AI and Canva, which now has AI built in is killing those industries.

I also used to make a good living doing mixing and mastering for artists, but AI is killing that too. I am still a purist at heart though with music and AI still can't do what a human can do. I have heard allot of the AI music stuff and it's just not there yet, but will be eventually.

What I do use AI for is mainly giving me post ideas and then I go back and have it help me proof read and basically be my editor.

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The customizability of generated images and the speed at which it can be produced is a big factor on why it has taken over. People can request an image be drawn in the style of Van Gogh, and the AI can produce it quickly. While specific results are still difficult, adjusting the prompts can get there eventually.

I have seen a video where they discussed AI influencers. AI generated models are being used by brands to endorse their products, even big brands like Prada and CK have partnered with them. So art is just the beginning.

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I remember the computer boom, the internet boom, the social media boom, now the AI boom.

IMHO, they will come to pass. I hope to live longer to see what's in store 50 years from now.

Thanks for the thought provoking topics bro. 👍👍

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Summary:

In this video, the host discusses the progression and disruption of artificial intelligence (AI) in various industries. He highlights how AI-generated images and graphics are becoming increasingly viable for use in content creation, potentially disrupting the stock photography and imagery industry. The host also explores how AI could impact the music industry, potentially replacing human-composed background scores and jingles for TV shows and commercials.

The host then delves into the evolution of video content, drawing parallels between social media videos and traditional Hollywood-produced content. He suggests that as AI technology advances, it will enable the creation of higher-quality, AI-generated videos that could rival traditional TV shows and feature films. The host believes that while these AI-generated videos may not match the production value of major media outlets, they could still be "good enough" to captivate audiences and provide a worthwhile viewing experience.

The host emphasizes that the capabilities of AI will continue to expand rapidly, and that what is possible today is just the beginning. He predicts that in the near future, AI will be able to generate 30-minute videos and even full-length films, potentially disrupting traditional media production. The host suggests that the key factors will be the storytelling ability and the perceived value of the content, rather than the technical production quality.

Detailed Analysis:

The host begins by discussing his own use of AI-generated images in his written content, noting that while the images may be identifiable as AI-generated, they are often sufficient for his purposes. He explains that this has effectively "destroyed" the stock photography industry, as writers and content creators can now generate their own visuals without the need to purchase stock images.

The host then delves into the potential impact of AI on the music industry, particularly in the realm of background scores and jingles for TV shows and commercials. He cites an article that suggests Hollywood is increasingly turning to AI-generated music, as it eliminates the need to pay composers and the associated royalties. The host believes that AI will be able to generate high-quality jingles and theme songs, potentially replacing the need for human-composed music in these contexts.

Shifting to the video landscape, the host distinguishes between "social video" content, such as his own YouTube videos, and the higher-production-value content created by major media outlets. He acknowledges that his videos lack the visual polish and editing of professional productions, but argues that for his target audience, the content is "good enough" to warrant their time investment.

The host then speculates on the future of video content, suggesting that as AI technology advances, it will enable the creation of increasingly sophisticated AI-generated videos. He envisions a future where people will be able to prompt AI systems to generate 30-minute videos or even full-length feature films. While these AI-generated videos may not match the production value of major studio releases, the host believes that the storytelling and perceived value of the content will be the key factors, rather than the technical quality.

The host emphasizes that the capabilities of AI will continue to expand rapidly, and that what is possible today is just the beginning. He suggests that the disruption caused by AI will continue to work its way up the value chain, affecting various industries and challenging traditional business models.

Throughout the video, the host provides examples and analogies to illustrate his points, drawing comparisons to the evolution of video content and the historical significance of jingles and theme songs in television. He also acknowledges that there may be some areas, such as the ability to distinguish AI-generated music from human-composed music, where the technology may face limitations. However, the host believes that these limitations will continue to be pushed as AI advances.

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