First and foremost, this is not about AI/ML research, only about usage in generating content that you would potentially consume.

I personally won’t mind automated content if/when that reach current human generated content quality. Some of them probably even achievable not in very distant future, such as narrating audiobook (though it is nowhere near human quality right now). Or partially automating music/graphics (using gen AI) which we kind of accepted now. We don’t complain about low effort minimal or AI generated thumbnail or stock photo, we usually do not care about artistic value of these either. But I’m highly skeptical that something of creative or insightful nature could be produced anytime soon and we have already developed good filter of slops in our brain just by dwelling on the 'net.

So what do you guys think?

Edit: Originally I made this question thinking only about quality aspect, but many responses do consider the ethical side as well. Cool :).

We had the derivative work model of many to one intellectual works (such as a DJ playing a collection of musics by other artists) that had a practical credit and compensation mechanism. With gen AI trained on unethically (and often illegally) sourced data we don’t know what produce what and there’s no practical way to credit or compensate the original authors.

So maybe reframe the question by saying if it is used non commercially or via some fair use mechanism, would you still reject content regardless of quality because it is AI generated? Or where is the boundary for that?

  • TʜᴇʀᴀᴘʏGⒶʀʏ⁽ᵗʰᵉʸ‘ᵗʰᵉᵐ⁾
    4·
    5 days ago

    Thoughts on AI-Generated Content

    AI-generated content is a fascinating and rapidly evolving area that raises important questions about quality, creativity, and the role of technology in our lives. Here are some key points to consider regarding AI-generated content, particularly in the context of consumption:

    Quality and Acceptance

    1. Current Capabilities: As you noted, AI has made significant strides in generating content that can sometimes match human quality, especially in areas like audiobooks, music, and graphics. While the technology is improving, there are still limitations, particularly in producing nuanced or deeply creative works.

    2. Consumer Acceptance: People often accept AI-generated content in contexts where the artistic value is less critical—like stock photos or simple graphics. This acceptance suggests that as long as the output meets a certain standard of utility or aesthetic appeal, consumers are willing to overlook the lack of human touch.

    Creativity and Insight

    1. Limitations of AI: While AI can generate text, music, and visuals based on patterns learned from existing data, it struggles with true creativity and insight. Genuine creativity often involves emotional depth, personal experience, and cultural context—elements that AI currently cannot replicate.

    2. The Filter of Quality: As you mentioned, the internet has conditioned us to filter through a lot of low-quality content. This experience has heightened our ability to discern quality, making us more critical of automated outputs. The challenge for AI-generated content is to rise above this noise and provide something genuinely valuable.

    Future Potential

    1. Collaborative Creation: One promising avenue for AI-generated content is its potential as a tool for human creators rather than a replacement. For instance, writers might use AI to brainstorm ideas or overcome writer’s block, while musicians could use it to generate backing tracks or explore new styles.

    2. Evolving Standards: As technology progresses, our standards for AI-generated content may evolve as well. What seems inadequate today might be seen as acceptable or even impressive in the future as both creators and consumers adapt to new capabilities.

    Conclusion

    In summary, while there are valid concerns about the limitations of AI-generated content—especially regarding creativity and insight—there’s also potential for it to enhance human creativity and fill specific niches effectively. As technology continues to advance, it will be interesting to see how our perceptions shift and how we integrate these tools into our creative processes. The key will be maintaining a balance between leveraging AI’s capabilities while valuing the unique contributions that human creators bring to the table.