Storytelling in the age of AI

Storytelling in the age of AI

Storytelling has been an integral part of human culture since the dawn of time. From ancient cave paintings to modern cinema, we have used stories to entertain, educate, and connect with one another. But what happens when artificial intelligence (AI) enters the picture? How will AI change the way we tell and experience stories? This post article delves into the evolving landscape of storytelling in the age of AI, exploring its potential benefits, challenges, and ethical considerations.

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THE DEEP DIVE | Podcast

The Impact of AI on Storytelling

AI is already making its mark on storytelling in various ways. AI-powered tools, such as Writesonic, INK Editor, Anyword, Jasper, and Wordtune, can assist writers with brainstorming ideas, generating plot twists, and even creating entire drafts of stories. These tools can significantly speed up the writing process and help writers overcome creative blocks. For instance, AI can analyze countless existing stories to identify common patterns and generate unique plots, character ideas, and story arcs based on prompt. AI can also analyze vast amounts of data to identify patterns and trends in storytelling, providing insights into what makes a story successful. This information can be used to create more engaging and impactful narratives. One fascinating insight from this analysis is the identification of the “Cinderella arc” pattern as the most popular with audiences. This pattern, characterized by a character in a desperate situation experiencing a sudden improvement in fortune before facing more troubles and ultimately ending on a triumphant note, evokes positive feelings from audiences. This understanding of emotional arcs can be leveraged by AI to analyze and optimize stories for audience engagement.

Beyond assisting human writers, AI can also generate its own stories. For example, AI was used to create the screenplay for the short film “Sunspring,” which, while still involving human actors and a director, showcased the potential of AI to contribute to creative projects. While AI-generated stories may not yet match the depth and complexity of human-written narratives, they demonstrate the potential of AI to become a creative force in its own right. However, it’s important to acknowledge the potential for AI to prioritize efficiency and speed over emotional depth in storytelling. As AI-powered tools become more sophisticated, they might be used to create content quickly, even if it lacks the emotional impact of human-written stories. This raises questions about the balance between efficiency and the preservation of the human element in storytelling.

From Monologue to Immersive Experiences

The evolution of storytelling has been a journey from monologue to dialogue and now towards fully immersive experiences. Traditional forms of storytelling, such as oral traditions and written narratives, often involved a single narrator conveying a story to a passive audience. With the advent of new technologies, storytelling became more interactive. Video games, for example, allowed users to make choices that influenced the narrative, creating a dialogue between the player and the story.

AI is now poised to take this interactivity to the next level, creating fully immersive experiences where users can actively participate in shaping the narrative. This shift is driven by the ability of AI to personalize stories based on user preferences and interactions, creating dynamic narratives that respond to individual choices and emotional responses.

AI as a Creative Partner

AI is not just a tool for automating storytelling; it can also be a creative partner. By analyzing data on user preferences and emotional responses, AI can help tailor stories to individual tastes and create more personalized experiences. This could lead to the development of interactive narratives that adapt to the user’s choices, creating a more engaging and immersive experience. Imagine a story that changes its course based on your emotional reactions, offering a unique and personalized journey for each reader or viewer. AI has the potential to make this a reality.

Furthermore, AI can help create dynamic narratives by generating unexpected plot twists and resolving narrative inconsistencies. This is particularly useful in genres like mystery or science fiction, where intricate plot structures are essential. AI can also assist in character development by analyzing current trends and psychological profiles to suggest complex and relatable character attributes . By leveraging AI’s analytical capabilities, writers can gain a deeper understanding of their characters and craft more compelling narratives.

AI also has the potential to reach new audiences through personalized stories. By tailoring narratives to individual preferences and interests, AI can create stories that resonate with a wider range of people, expanding the reach and impact of storytelling.

The Rise of User-Centric Storytelling

The increasing use of AI in storytelling has led to a significant shift towards user-centric narratives. This means that instead of a traditional model where the storyteller dictates the narrative, AI allows for a more personalized and interactive experience where the audience plays a more active role. This shift is evident in several ways:

  • Personalized Narratives: AI can tailor stories to individual preferences by analyzing user data, such as reading history, preferred genres, and emotional responses. This creates a more engaging and immersive experience where the story adapts to the user’s tastes and choices. Imagine reading a mystery novel where the clues and suspects change based on your interactions with the story, creating a unique experience for each reader.
  • Interactive Storytelling: AI-powered tools enable the creation of dynamic narratives that respond to user input and choices in real-time. This allows for a more participatory form of storytelling where the audience can actively shape the narrative. This can be seen in interactive games where the story unfolds based on the player’s decisions, or in AI-powered chatbots that engage users in conversational storytelling.
  • Breaking Down Language Barriers: AI-powered translation tools can make stories accessible to a global audience by overcoming language barriers. This allows for greater inclusivity and diversity in storytelling, as stories can be easily translated and adapted to different cultural contexts.
  • Emotion Recognition and Adaptation: AI can analyze user emotions and adapt the story accordingly, creating a more personalized and emotionally resonant experience. This could involve adjusting the pacing, tone, or even the plot of the story based on the user’s emotional responses.

This shift towards user-centric storytelling has the potential to create more engaging, personalized, and immersive experiences for audiences. It also empowers users to become active participants in the storytelling process, blurring the lines between creator and consumer. However, it’s important to consider the potential challenges of this approach, such as the risk of creating echo chambers or reinforcing existing biases. As AI continues to evolve, it will be crucial to find a balance between personalization and the preservation of diverse perspectives in storytelling.

Challenges and Ethical Considerations

While AI offers exciting possibilities for storytelling, it also presents challenges and ethical considerations. One concern is the potential for AI to perpetuate biases present in the data it is trained on. This could lead to stories that reinforce stereotypes or fail to represent diverse perspectives accurately. For example, if an AI model is trained on a dataset of stories that predominantly feature male protagonists, it might be more likely to generate stories with similar biases.

Another challenge is ensuring the originality of AI-generated content. Since AI algorithms often rely on existing data, there is a risk that AI-generated stories may inadvertently plagiarize or mimic existing works. This raises questions about authorship and intellectual property rights. If an AI generates a story that closely resembles an existing work, who owns the rights to that story? These are complex questions that need to be addressed as AI becomes more prevalent in storytelling.

Furthermore, there are concerns about the potential loss of the human touch in storytelling. While AI can assist with various aspects of the creative process, it may not be able to fully replicate the emotional depth and complexity that human writers bring to their work. AI can analyze data and identify patterns, but it may struggle to understand the nuances of human emotions and experiences that make stories truly resonate with audiences. It’s also important to consider the limitations of AI in understanding human emotions and the complexities of our world. AI models may struggle to grasp the nuances of language, idioms, and cultural references that make human stories so rich and compelling. This limitation highlights the importance of human involvement in the storytelling process, even when AI is used as a tool.

Ethical considerations also extend to the issue of plagiarism and originality. It’s crucial for writers who use AI in their work to be transparent about the extent of AI’s involvement and to ensure that they are not misrepresenting AI-generated content as their own original work. Perhaps most importantly, authenticity, empathy, and human connection remain crucial in AI-powered storytelling. AI should be used to enhance these qualities, not replace them. The goal is not to create stories that are solely driven by algorithms but to use AI as a tool to amplify human creativity and empathy, fostering deeper connections with audiences.

The Future of Storytelling

The future of storytelling in the age of AI is likely to be one of collaboration and co-creation. AI will continue to evolve as a creative partner, helping writers to craft more engaging, personalized, and immersive narratives. New genres and mediums of storytelling will emerge, blurring the lines between audience and creator.

AI can free up creators’ time to focus on the human elements of storytelling, such as crafting narratives that connect, move, and inspire. By automating tasks like data analysis and content optimization, AI allows storytellers to dedicate more time and energy to the creative aspects that require a human touch.

This collaborative dynamic between technology and human creativity has the potential to lead to a new era of storytelling, where AI enhances human capabilities and pushes the boundaries of what’s possible. However, it’s crucial to ensure that these stories maintain their authenticity and emotional depth. Technology should aim to enhance, not replace, the essential human elements at the heart of storytelling.

Conclusion

AI is poised to revolutionize the way we tell and experience stories. By embracing AI as a creative partner, we can unlock new possibilities for storytelling, creating more engaging, personalized, and immersive narratives. However, we must also be mindful of the challenges and ethical considerations that AI presents, ensuring that we use this technology responsibly and ethically. Ultimately, the future of storytelling in the age of AI will depend on our ability to find a balance between technological innovation and human connection.

Looking ahead, AI has the potential to fundamentally change the nature of storytelling. Imagine a future where stories are dynamically generated and personalized in real-time, responding to our emotions and choices. AI could become an indispensable tool for writers, filmmakers, and game developers, helping them to create experiences that are more immersive, interactive, and engaging than ever before. However, this future also raises questions about the role of human creativity in a world where AI can generate narratives on its own. Will human storytellers become obsolete, or will they find new ways to collaborate with AI and explore the unique aspects of human creativity that AI cannot replicate?

The societal impacts of AI-generated narratives are another important consideration. As AI becomes more sophisticated, it could be used to create stories that influence our beliefs, values, and behaviors. This raises ethical questions about the responsibility of creators and the potential for AI to be used for manipulation or propaganda. It’s crucial to develop ethical guidelines and safeguards to ensure that AI is used to promote positive social outcomes and preserve the integrity of storytelling.

In conclusion, the age of AI presents both exciting opportunities and significant challenges for storytelling. By embracing AI as a creative partner, while remaining mindful of its limitations and ethical implications, we can shape a future where storytelling continues to thrive and connect us in meaningful ways.

Works cited

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  5. AI in storytelling: Machines as cocreators | McKinsey, accessed on December 25, 2024, https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/ai-in-storytelling
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  7. AI Generated Short Stories – by Jack Farrell – Medium, accessed on December 25, 2024, https://medium.com/@jackfarrell/ai-generated-short-stories-a74e48e0e37f
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    How this post was made...

    The insights and some predictions I shared in “Storytelling in the age of AI” are based on a blend of AI-driven research and creative analysis. While we’ve (me + AI assistant) worked to ensure accuracy by exploring over 22 credible sources and leveraging advanced tools like Gemini Advanced v1.5 and Google NotebookLM. This post is designed to spark conversation and exploration. As always, I encourage readers to explore these topics further and draw their own conclusions as the AI landscape continues to unfold.

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    The future of music: A 10-year outlook

    The future of music: A 10-year outlook

    The future of music: A 10-year outlook

    In a world where AI and human creativity converge, the future of music looks more thrilling—and unpredictable—than ever. With “The Future of Music: A 10-Year Outlook,” we’ve (me + the AI assistant) crafted a report that’s not just a roadmap but a mirror reflecting the changes shaping the industry. This post takes you behind the scenes of how the report came to life, the innovative tools that powered it, and why understanding tomorrow’s music matters today.

    Creating “The Future of Music: A 10-Year Outlook” wasn’t just about compiling trends—it was an expedition into the unknown. To navigate this vast creative terrain, I turned to some cutting-edge tools:

    • Gemini Advanced v1.5 with Deep Research: This AI-powered engine scoured over 41 websites to extract the most relevant insights, ensuring no stone was left unturned in our quest for clarity.
    • Google NotebookLM: Acting as my digital co-pilot, this tool helped synthesize complex information, organize findings, and even generate podcast-style audio summaries to make the data come alive.

    But this project wasn’t only about tools. It was born out of a need to spotlight the seismic shifts in music—streaming dominance, AI composition, and even the rise of the metaverse as a concert venue. These trends aren’t distant ideas; they’re unfolding realities that will define how we create, share, and experience music.

    What makes this post different? It’s a conversation about the journey, not just the destination. By sharing how the report was made, I hope to demystify the process and inspire others to explore how technology can turn big ideas into tangible results.

    The overview | Podcast

    Future of Music: A 10-Year Outlook

    The music industry is a dynamic landscape constantly reshaped by technological advancements, evolving consumer behaviors, and the emergence of new artistic expressions. This report delves into the potential scenarios for the music industry and artists over the next 10 years, exploring the forces that will shape this vibrant sector.

    Evolution of the music industry and artists over the past decade

    The music industry has undergone a significant transformation in recent years. The transition from physical media to digital streaming has been a defining characteristic of the past decade, with platforms like Spotify and Apple Music revolutionizing how people consume music. This shift has also empowered independent artists by democratizing music production and distribution. Digital audio workstations (DAWs) like Ableton Live and Logic Pro have become more accessible, enabling artists to produce high-quality music from their homes 1. This has reduced reliance on traditional record labels and given artists more control over their creative process.

    Social media has also become an integral part of the music industry, providing a platform for artists to engage with their fans and promote their music. Platforms like Twitter, Instagram, and TikTok allow artists to build a loyal following and create viral moments that can propel them to stardom 1. The rise of streaming has also led to changes in revenue models. While artists previously relied heavily on album sales, they now generate income through a combination of streaming royalties, live performances, and merchandise 2. This shift has presented both challenges and opportunities, requiring artists to adapt their strategies to thrive in the digital age. Furthermore, the widespread adoption of streaming has rendered iPods and CDs largely obsolete, highlighting the rapid shift towards digital music consumption 3.

    Predictions and forecasts for the music industry

    Looking ahead, several predictions and forecasts offer insights into the future of the music industry:

     

    Streaming and consumption

    • Continued growth of streaming: Streaming is expected to remain the dominant force in music consumption, with platforms vying for market share and exploring new features to enhance user experience 4.
    • Increased consumption of regional music: The consumption and production of regional, non-English music is expected to increase, reflecting the growing diversity in the music landscape and the global reach of streaming platforms 5.
    • The album’s decline: The traditional album format may continue to decline in popularity as listeners increasingly favor individual tracks and playlists 6.

    AI and music creation

    • AI-driven music creation: AI tools will play an increasingly significant role in music production, assisting artists with composition, arrangement, and sound design 7. This could lead to increased efficiency and new creative possibilities, but also raises concerns about the role of human creativity in the process.
    • One billion music creators: AI tools are predicted to blur the lines between artist and consumer, potentially leading to a future with one billion music creators 8. Most of these creators may produce music for personal enjoyment or small audiences, but the sheer volume of creation could significantly impact the music landscape.

    Live music and the metaverse

    • Growth of live music: Industry analysts predict a continuing growth of the live music industry, potentially surpassing $30 billion by 2025 9. Technology will likely play a role in enhancing live music experiences, with more elaborate visual shows incorporating holograms and other innovations.
    • Rise of virtual concerts and metaverse events: Virtual and augmented reality technologies will transform live music experiences, offering immersive and interactive performances that transcend geographical boundaries 10.
    • Metaverse as a platform: The metaverse could become a significant platform for music consumption and live performances, with artists creating immersive virtual concerts and interactive experiences 10.

    Unexpected trends and crossovers

    • “Toddler dance music”: One prediction suggests the emergence of “Toddler Dance Music” as a popular genre, driven by the influence of children’s preferences on music consumption through platforms like reality TV shows 11.
    • Video games as music discovery platforms: Video games like Fortnite might become important platforms for music discovery, blurring the lines between gaming and music consumption 12.

    Challenges for artists

    • Disparity in streaming numbers: A significant disparity exists in streaming numbers between tracks, with a small number of tracks garnering billions of streams while millions of others receive very few 5. This highlights the challenges faced by less popular artists in the streaming era.
    • Breaking through the noise: With millions of songs released each year, it’s becoming increasingly difficult for artists to gain visibility and reach their target audience 13. In fact, 70% of musicians identify breaking through the noise as their biggest challenge 14.

    Emerging technologies and trends

    Several emerging technologies and trends are poised to disrupt the music industry:

     

    • Artificial Intelligence (AI): AI is already being used for music creation, mastering, and even creating “clones” of popular singers 9. Its continued development could lead to new forms of musical expression and potentially challenge traditional notions of authorship and creativity. However, this also raises questions about the potential impact of AI on the emotional connection between artists and listeners. Will AI-generated music be able to evoke the same emotional resonance and authenticity that listeners seek in music created by humans 5?
    • Virtual Reality (VR) and Augmented Reality (AR): VR and AR are transforming live music experiences, creating immersive virtual concerts and interactive performances 15. These technologies offer new ways for artists to connect with fans and monetize their work.
    • Blockchain and Non-Fungible Tokens (NFTs): Blockchain technology has the potential to revolutionize music rights management and royalty distribution, ensuring greater transparency and fairness for artists 10. NFTs offer new ways for artists to monetize their work and engage with fans, such as selling unique digital collectibles or experiences. This technology could shift control from intermediaries to artists, creating a more decentralized and democratic music ecosystem 10.
    • Creator-level subscriptions: The rise of creator-level subscriptions could provide new revenue streams for artists, allowing fans to directly support their favorite musicians through recurring payments in exchange for exclusive content or experiences 16.
    • Cinematic stings in short-form videos: The increasing use of cinematic stings in short-form videos reflects the changing consumption habits and the need for impactful short-form content 17. As attention spans shorten, artists and creators are utilizing these techniques to capture viewers’ attention quickly and effectively.

    Emerging Technologies in Detail

    • AI and Machine Learning: AI and machine learning are being used to assist in songwriting, create personalized playlists, and even generate entire musical pieces15.
    • Augmented Reality (AR) and Virtual Reality (VR): AR and VR are enhancing the live music experience by creating immersive virtual concerts and augmented reality interactions15.
    • Blockchain and Cryptocurrency: Blockchain technology is providing new ways for artists to monetize their work and manage rights and royalties15.
    • Internet of Musical Things (IoMT): The IoMT refers to the network of interconnected musical devices and instruments, enabling new forms of musical expression and collaboration15.
    • Streaming and social media innovations: Streaming platforms and social media are constantly evolving, offering new ways for artists to connect with fans and share their music15.
    • Dolby Atmos: Dolby Atmos is an immersive audio technology that creates a three-dimensional soundscape, enhancing the listening experience and offering new creative possibilities for artists and producers18.

    Challenges and Opportunities

    The music industry faces several challenges:

    • Piracy and copyright infringement: The ease of copying and sharing digital music continues to pose a threat to artists’ revenue streams 19.
    • Streaming royalties: The current streaming royalty model is often criticized for not adequately compensating artists, particularly those with smaller followings 5. This tension between the overall growth of the music industry and the financial struggles of many individual artists highlights the need for a more equitable and sustainable model that benefits both the industry and the artists it relies on 5.
    • Breaking through the noise: With millions of songs released each year, it’s becoming increasingly difficult for artists to gain visibility and reach their target audience 13. This challenge is particularly acute, with 70% of musicians citing it as their most significant hurdle 14.

    However, these challenges also present opportunities:

    • Diversification of revenue streams: Artists are exploring new ways to generate income, such as merchandise, live streaming, and fan subscriptions 20.
    • Direct-to-Fan engagement: Technology allows artists to build stronger relationships with their fans, fostering loyalty and creating new avenues for monetization.
    • Global reach: The internet and streaming platforms have created a global marketplace for music, allowing artists to reach audiences worldwide.

    How user behavior will change and impact future music scenarios

    User behavior in music consumption is constantly evolving, driven by technological advancements, social trends, and individual preferences. These changes will significantly impact the future scenarios of the music industry. Here’s a breakdown of how user behavior might change and what triggers these changes:

    1. Increased demand for interactive experiences: Users will seek more interactive and immersive experiences beyond passive listening. This includes participating in virtual concerts, contributing to music creation, and engaging with artists in virtual spaces 10.

    2. Shift towards personalized consumption: Users will expect more personalized music experiences tailored to their individual tastes and preferences. This includes AI-generated playlists, customized music recommendations, and interactive music creation tools 21.

    3. Growing importance of community and social interaction: Music consumption will become more social, with users engaging in online communities, sharing music experiences, and participating in collaborative music creation.

    4. Blurring lines between artist and fan: The traditional distinction between artist and fan will become less defined, with users actively participating in music creation, remixing songs, and contributing to the creative process 22.

    5. Focus on authenticity and creative integrity: Users will place greater emphasis on authenticity and creative integrity, seeking out artists who offer unique and original content.

    6. Increased consumption of niche and diverse genres: Users will explore a wider range of musical genres, including niche and regional music, driven by the accessibility of global music through streaming platforms.

    7. Growing importance of direct-to-fan engagement: Users will seek more direct connections with artists, bypassing traditional intermediaries and supporting musicians through subscriptions, memberships, and exclusive content.

    These changes in user behavior will significantly impact the future of the music industry, driving the adoption of new technologies, the growth of the metaverse, and the rise of decentralized music platforms.

    Future scenarios

    Based on the research and identified trends, here are a few potential scenarios for the music industry and artists in the next 10 years:

    Scenario 1: AI-dominated creation

    In this scenario, AI becomes the primary tool for music creation. Artists utilize AI to compose, arrange, and produce music, potentially leading to increased efficiency and the emergence of new genres and sounds. However, this raises questions about the role of human creativity and the potential for homogenization of musical styles.

    Scenario 2: Metaverse music experiences

    The metaverse becomes the primary platform for music consumption and live performances. Artists create immersive virtual concerts and interactive experiences, allowing fans to engage with music in new ways. This could lead to new revenue streams and a more globalized music industry, but may also require significant investment in VR/AR technology and infrastructure.

    Scenario 3: Artist empowerment and decentralization

    Blockchain technology and NFTs empower artists by providing greater control over their music rights and revenue streams. Artists connect directly with fans, bypassing traditional intermediaries and fostering a more equitable and transparent music ecosystem. This scenario could lead to greater artistic freedom and financial independence for musicians.

    Scenario 4: AI-generated music indistinguishable from human-created music

    If AI evolves to create music that is indistinguishable from human-created music, it could have profound implications for artists, listeners, and the industry as a whole. This scenario raises ethical and creative questions about the nature of art and the value of human expression. It could also lead to new forms of collaboration between humans and AI, where artists utilize AI as a creative partner or tool to enhance their own abilities.

    Scenario 5: Metaverse concerts and events

    Metaverse concerts and events have the potential to revolutionize the live music experience. Artists could create immersive virtual performances that transport fans to fantastical worlds, offering a level of engagement and interactivity that is not possible with traditional concerts. This could also create new opportunities for revenue generation, such as selling virtual tickets, merchandise, and experiences.

    Scenario 6: Artist adaptation to new technologies and trends

    Artists will need to adapt to the challenges and opportunities presented by new technologies and trends. This may involve developing new skills, such as using AI tools for music production or creating immersive experiences for the metaverse. It will also require artists to be more entrepreneurial and adaptable, exploring new ways to connect with fans and monetize their work.

    Synthesis

    The music industry is on the cusp of a new era, driven by rapid technological advancements and evolving consumer behaviors. Key trends include the continued dominance of streaming, the rise of AI in music creation, the emergence of the metaverse as a platform for music experiences, and the increasing importance of direct-to-fan engagement. These trends have the potential to reshape the music ecosystem, creating both challenges and opportunities for artists, labels, consumers, and technology companies.

    Artists will need to adapt to this changing landscape by embracing new technologies, diversifying their income streams, and building strong fan communities. They will also need to prioritize creative integrity and develop their unique artistic voice in a world where AI-generated music is becoming more prevalent.

    For the industry as a whole, key challenges include ensuring fair compensation for artists in the streaming era, addressing piracy and copyright infringement, and navigating the ethical and creative implications of AI-generated music. However, these challenges also present opportunities for innovation and growth. By embracing new technologies, fostering collaboration, and prioritizing artist empowerment, the music industry can create a more sustainable and vibrant future for all stakeholders.

    Conclusion

    The future of the music industry is full of possibilities. While challenges remain, emerging technologies and evolving consumer behaviors are creating new opportunities for artists and the industry as a whole. By embracing innovation, adapting to change, and prioritizing creative expression, artists can thrive in this dynamic landscape and continue to shape the future of music.

    Works cited

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    How this post was made...

    The insights and predictions shared in The Future of Music: A 10-Year Outlook are based on a blend of AI-driven research and creative analysis. While we’ve (me + AI assistant) worked to ensure accuracy by exploring over 41 credible sources and leveraging advanced tools like Gemini Advanced v1.5 and Google NotebookLM, the nature of forecasting means some scenarios may evolve differently than anticipated. This report is designed to spark conversation and exploration, not to serve as definitive industry guidance. As always, we encourage readers to explore these topics further and draw their own conclusions as the music landscape continues to unfold.

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