Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into num...
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Apple Says New MacBook Air Up to 23x Faster Than Intel-Based Model, But Read the Fine Print
Apple has a staggering marketing claim for the new MacBook Air with the M4 chip. Specifically, Apple says the new MacBook Air is up to 23x faster than the last Intel-based model. However, there a...
Read Full Article »Klarna CEO doubts that other companies will replace Salesforce with AI
The founder and CEO of IPO-bound fintech Klarna took to X to once again explain why his company ditched Salesforce’s flagship CRM product about a year ago in favor of its own homegrown AI system....
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Stability AI optimized its audio generation model to run on Arm chips
Discussion Points
- r.
- The information provides valuable insights for those interested in technology.
- Understanding technology requires attention to the details presented in this content.
Summary
Stability Brings Local AI Audio Processing to Mobile Devices with Arm Partnership A recent collaboration between Stability and chipmaker Arm has made it possible for mobile devices running Arm chips to access Stability's Stable Audio Open, an AI model that generates audio including sound effects. This development is significant as most existing AI-powered apps rely on cloud processing, which can lead to limitations in performance and user experience.
Enabling Local Processing The partnership with Arm enables the deployment of local AI processing on mobile devices, potentially improving performance, reducing latency, and enhancing overall user satisfaction. However, this move also raises questions about data storage and management, as well as potential security concerns.
Next Steps and Implications As this technology becomes more widely available, it will be essential to examine the implications for user data protection and privacy. The benefits of local processing must be weighed against the potential risks, ensuring that users' rights and interests are protected.
AI startup Stability AI has teamed up with chipmaker Arm to bring Stability’s Stable Audio Open, an AI model that can generate audio including sound effects, to mobile devices running Arm chips....
Read Full Article »AI and Copyright: Expanding Copyright Hurts Everyone—Here’s What to Do Instead
Discussion Points
- Balancing Intellectual Property Rights with Innovation: Should developers be required to obtain permission slips to read and train on copyrighted materials in order to create innovative AI models, or would this hinder the progress of beneficial technologies?
- The Impact on Socially Valuable Research: How would licensing requirements for fair use of AI training data affect the conduct of socially valuable research, such as scientific studies and text and data mining methodologies?
- The Role of Competition in AI Development: Would limiting access to training data through licensing requirements stifle competition in the AI development industry, leading to higher costs and reduced innovation?
Summary
Requiring permission slips to read webpages or use software assistance to comprehend digital content threatens the creation of beneficial AI models. This could hinder socially valuable research, such as scientific studies and text and data mining methodologies, by making it prohibitively expensive or impossible.
Licensing requirements would limit competition in the AI development industry, leading to higher costs and reduced innovation. Empirical evidence suggests that countries protecting text and data mining research from copyright control have more common research using these methodologies.
The stakes are high, as ML is critical to understanding our world and driving scientific progress.
You shouldn't need a permission slip to read a webpage–whether you do it with your own eyes, or use software to help. AI is a category of general-purpose tools with myriad beneficial uses. Requiring...
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