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Spotify Brings Interactive AI Conversations To Its Listening Experience

Spotify Expands Its AI Playbook

Spotify is taking another step toward making artificial intelligence a core part of how users discover and control audio. On Tuesday, the company announced that Premium subscribers can now hold interactive conversations with the app to find music, podcasts and audiobooks.

The feature is rolling out in beta to English-speaking Premium users aged 18 and over in the U.S., Ireland and Sweden on iOS and Android.

How The New Feature Works

Rather than relying on a traditional search bar, users can type or speak to Spotify and engage in back-and-forth conversations within the Home and Now Playing views. The experience is designed to make content discovery more natural and context-aware.

Spotify says users can ask for recommendations, revisit their listening history or learn more about songs, artists, podcasts and audiobooks. They can also ask questions about their own listening habits, such as when they first played a track or which genres they stream most often.

AI Becomes A Bigger Part Of Discovery

Spotify confirmed to TechCrunch that the feature combines the company’s own AI technology with models from multiple providers, selecting the most suitable system depending on the task.

The launch builds on Spotify’s broader AI strategy, which already includes its AI DJ, AI-powered playlist features and integrations with third-party chatbots such as ChatGPT.

A More Personal Listening Assistant

Users can give open-ended prompts such as “play some artists I haven’t heard before” and refine the results through follow-up requests, including adding a specific artist, focusing on recent releases or changing the mood of the recommendations.

The assistant can also perform actions such as saving songs, adding tracks to the playback queue and following artists directly within the conversation.

The latest rollout reflects Spotify’s wider push to replace traditional search and navigation with a more conversational experience, turning AI into a personalised listening assistant rather than simply another discovery tool.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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