Poolside co-founder and CEO Jason Warner didn’t mince words: He thinks that most companies looking to build foundation AI models should instead focus on building applications. Poolside is an AI-...
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Microsoft reportedly ramps up AI efforts to compete with OpenAI
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Anthropic has quietly removed from its website several voluntary commitments the company made in conjunction with the Biden Administration in 2023 to promote safe and “trustworthy” AI. The...
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Quantexa nabs $175M at a $2.6B valuation to double down on data analytics for AI
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Read Full Article »Podcasting platform Podcastle launches a text-to-speech model with more than 450 AI voices
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Podcastle has launched Asyncflow v1.0, an AI-powered text-to-speech model that will be available as an API for developers. This move further solidifies the company's position in the competitive market of AI tools.
The introduction of this technology enables easier integration into apps, potentially disrupting existing business models.The release of Asyncflow v1.0 raises concerns about the impact on the industry and its players. Some may see it as a positive move, enabling more innovation and accessibility, while others view it as a threat.
As the competition intensifies, the future of podcasting and content creation becomes increasingly intertwined with AI-powered tools like Asyncflow v1.0. The full implications of this development are yet to be fully understood.
Podcast recording and editing platform Podcastle is now joining other companies in the AI-powered, text-to-speech race by releasing its own AI model called Asyncflow v1.0. An API for developers will a...
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Stability AI optimized its audio generation model to run on Arm chips
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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....
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