Eye on AI Newsletter
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The realm of AI-generated music is experiencing a surge in activity. Stability AI, which recently saw its founder and CEO step down amidst internal turmoil, has introduced Stable Audio 2.0, an upgraded version of its AI music generation model. Unlike its predecessor limited to 90-second clips, the new model allows users to craft full-length songs up to three minutes by incorporating their audio samples or simple text prompts. Stability AI highlights that the 2.0 model produces complete songs with distinct intros, progressions, and outros.
While the launch of Stable Audio 2.0 may have stirred excitement, it has not resonated well with musical artists. Over 200 artists joined forces to pen an open letter urging tech companies to refrain from developing AI technologies that stifle creativity and undermine the artistic community. Prominent signatories include Billie Eilish, Nicki Minaj, Elvis Costello, and others, emphasizing the detrimental impact of AI on fair compensation and artistic integrity.
The music industry has a track record of grappling with new technologies. From the initial skepticism surrounding the electric guitar to contemporary debates between traditional instrumentalists and digital music creators, the industry has witnessed resistance to change. The current discourse echoes the Napster era, where file-sharing revolutionized music distribution but also raised concerns about copyright infringement and artist remuneration.
The controversy surrounding AI-generated content extends beyond creative boundaries to ethical and legal realms. Issues of unauthorized use of copyrighted material and the potential exploitation of artists have fueled debates within Stability AI and the broader AI community. The ethical implications of training generative AI models on existing works without consent have sparked resignations and ethical dilemmas within the industry.
As generative AI technologies evolve, concerns persist regarding the commodification of artistry and the erosion of traditional business models supporting musicians. While AI-generated content may capture public interest, the enduring demand for human-created music that reflects shared experiences underscores the importance of safeguarding artists’ rights and ensuring fair compensation in the digital landscape.
In other AI news:
AI in the News
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Google’s AI-Powered Search Features: Google is exploring the possibility of introducing premium search features driven by AI technology. While no final decision has been made, this potential shift marks a departure from Google’s traditional free search model, hinting at new revenue streams for the tech giant.
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AI-Driven Targeting in Military Operations: Reports suggest that Israel has leveraged AI to identify targets for air and missile strikes. The use of AI in military decision-making raises ethical concerns and underscores the complex interplay between technology, warfare, and international law.
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Local Deployment of Language Models: Opera now allows users to download and run over 150 Language Models (LLMs) locally, enabling enhanced customization and performance without reliance on cloud-based services.
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Enhanced Editing Tools for AI Models: OpenAI introduces new editing capabilities for its DALL-E model in ChatGPT, empowering users to refine images and customize outputs using intuitive tools and prompts.
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Enterprise-Focused Language Model: Cohere launches Command R+, a large language model optimized for retrieval augmented generation (RAG), catering to businesses seeking advanced AI solutions tailored to their specific needs.
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Fine-Tuning Tools for GPT Models: OpenAI unveils tools to facilitate fine-tuning of its GPT models for enterprise applications, enhancing customization and performance for business customers.
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Tools for Detecting Fake Media: TrueMedia releases free tools for identifying fake and doctored media, aiming to combat disinformation online and empower users to distinguish between authentic and manipulated content effectively.
Stay tuned for more updates on AI developments.
Sage Lazzaro
[email protected]
sagelazzaro.com
AI Calendar
- April 15-16: Fortune Brainstorm AI London
- May 7-11: International Conference on Learning Representations (ICLR) in Vienna
- May 21-23: Microsoft Build in Seattle
- June 5: FedScoop’s FedTalks 2024 in Washington, D.C.
- June 25-27: 2024 IEEE Conference on Artificial Intelligence in Singapore
- July 15-17: Fortune Brainstorm Tech in Park City, Utah
- Aug. 12-14: Ai4 2024 in Las Vegas
Eye on AI Numbers
37
The first quarter saw 37 startups surpassing the billion-dollar valuation mark, marking a significant rebound driven by AI companies like Perplexity, Mistral AI, and Celestial AI.
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