Lore Issue #28: Drake, Grimes, and The Future of AI Music
soft tones Grimes making AI music in the future --niji 5 --style scenic --ar 16:9 --v 5
Although this week has been relatively quiet, we've got some exciting developments brewing behind the scenes that we hope to share soon.
Let's get started!
In today's issue:
INSIGHTS: AI Music and The Future of Entertainment
COOLEST THING: Winter's Cold featuring AI Drake
FEATURED TOOL: HuggingChat
INDUSTRY UPDATES: Replit raises $97.4M and announces new coding-focused LLM that, in some tests, outperforms OpenAI Codex
FURTHER STUDY: OpenAI TED Talk
Boost Your Productivity: Weekly Generative AI Insights for Work
AI Music and The Future of Entertainment
This week, AI-generated music is making waves in the industry, leading us to explore the topic in a tweet thread today.
AI-generated tracks are becoming virtually indistinguishable from the real thing, sparking legal and ethical debates while presenting new opportunities for artists, businesses, and even companies outside the music sector.
Here's a summary of what you need to know:
The rise of AI-generated music has ignited legal and ethical debates, with record labels invoking copyright law to remove AI-generated songs from platforms like YouTube.
Tech companies like Google face a conundrum: should they take down AI-generated content, and if so, on what grounds?
Some artists, like Grimes, are embracing the change, proposing new revenue-sharing models and utilizing blockchain-based smart contracts for royalties.
The future of AI-generated music presents both challenges and opportunities, with the potential to create new platforms and genres, democratize the industry, and redefine artist compensation.
So, what does this mean for your business? Here are our insights.
Insight #1: Embrace AI-Generated Music
The emergence of AI-generated music presents an opportunity to explore new avenues for creativity and innovation in your organization, even if you're outside the music industry. Test these technologies to understand their potential and limitations and be prepared for the evolving landscape.
Insight #2: Navigate Legal and Ethical Complexities
As AI-generated music raises legal and ethical questions, businesses and artists need to stay informed about the changing legal landscape and its implications for their work. Keeping up-to-date with developments can help you adapt to new challenges and opportunities.
Insight #3: Rethink Revenue Models and Engagement Strategies
With pioneers like Grimes proposing new revenue-sharing models, it's crucial to consider how your business can adapt to benefit from AI-generated music. Explore new ways to monetize, engage with fans, and collaborate with other artists and platforms.
Insight #4: Leverage AI-Generated Music for Cross-Industry Applications
The impact of AI-generated music extends beyond the entertainment sector. Brands, advertisers, and content creators can leverage AI-generated music to enhance their projects, create unique audio experiences, and differentiate themselves.
One quick example. It would be instant free press if any company used Grimes' voice right now to create a YouTube music video or advertisement. Or as an independent creator, it's also an excellent opportunity to get recognized.
Over the next few weeks, we'll closely monitor developments in AI-generated music and its impact on the entertainment industry and other sectors. We'll share updates, insights, and resources with you.
AI Music Resources
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The Generative AI Application That Wowed Us
Continuing with the music theme, the coolest thing in AI we saw this week was the AI Drake song "Winter's Cold" by Lvcci AI. This marks the first time we're convinced that AI can match or surpass the original musician.While the methods used to create this track are not yet fully disclosed, its impact is undeniable. Give the song a listen and share your thoughts with us!
Additionally, we highly recommend watching this reaction video featuring two fans' responses to the song.
Other Things We Found
Our friend Heather Cooper shared this great new option from Midjourney Niji. Try adding --niji 5 --style scenic in Midjourney. It's what we used to create the cover for this issue.
Amli created this video with Luma just walking around LA. Exciting to think about what kind of movies you could create with something like this.
The Most Useful Generative AI Tool We Discovered This Week
Introducing HuggingChat, an open-source AI chatbot by Hugging Face! This new alternative to OpenAI's ChatGPT promises versatility and the potential for developers to customize it to their needs. Check it out in action:
HuggingChat's underlying model was developed by Open Assistant, a project from the German nonprofit LAION. The project aims to create an accessible and open AI assistant capable of handling tasks like writing code, drafting emails, and even composing rap lyrics.
While it still has some rough edges and is prone to generating unusual or off-topic responses, the team is committed to refining the chatbot and ensuring it remains an open-source solution for the AI community.
This new tool is part of a growing trend of open-source alternatives to commercial AI models like ChatGPT. As the debate around the ethical implications of AI models continues, the open-source movement shows no signs of slowing down.
Other Tools We Found
News, Investments, and Acquisitions Shaping the Generative AI Landscape
Replit Raised $97.4M and Announced a New Coding-Focused LLM
Today Replit announced they'd raised an additional $97.4M at a $1.16B valuation from A16Z, Khosla Ventures, and others. And they had several other significant announcements, including:
The development of a coding-focused LLaMa-style LLM that has outperformed OpenAI Codex in certain tests.
The transformation of their entire IDE into a toolkit for autonomous agents.
These developments hold significant potential. If Replit can consistently surpass OpenAI in coding tasks, it is no surprise that Google has shown keen interest in the company. Moreover, Replit's collaboration with BabyAGI, a project we have actively supported and were among the first to report on, bodes well for the project's future.
Imagine if a REPL could autonomously develop and deploy applications for you, overcoming the present constraints of AutoGPTs. The potential is immense, and Replit is on the cutting edge of making this a reality.
Google Combines Its AI Arms: Introducing Google DeepMind
In a strategic move to consolidate its artificial intelligence (AI) capabilities, Google has announced the merger of its two AI powerhouses, Google Brain and DeepMind, into a single entity called Google DeepMind. This unification aims to streamline research efforts, optimize resources, and foster greater collaboration between the two formerly separate teams.
By combining forces, Google DeepMind is poised to become an even more formidable player in the AI landscape
NVIDIA Published New Text-To-Video Method
G7 ministers to discuss AI risks, challenges - Read Article
Japanese Govt Starts Discussing Use of Generative AI, Including ChatGPT - Read Article
Bringing The Dead Back to Life with AI - Read Article
News app Artifact can now summarize stories using AI, including in fun styles - Read Article
Stack Overflow Will Charge AI Giants for Training Data - Read Article
Expand Your Knowledge with Key Generative AI Papers, Articles, and Resources
OpenAI TED Talk
Other things we're thinking about
Scaling Transformer to 1M tokens and beyond with RMT - Read Paper
AutoNeRF: Training Implicit Scene Representations with Autonomous Agents - Read Paper
GPT-4-32K use cases - Read Thread
Human or Not? A Social Turing Game - Play Game
ChatGPT is about to destroy Runescape - Watch Video
I Used ChatGPT To Build a SaaS in 15 Minutes - Read Thread
See you next week!