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YouTube Music tests AI hosts that share trivia and commentary

Plus: Everyone’s still throwing billions at AI data centers

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In this Newsletter Today:

  • YouTube Music tests AI hosts that share trivia and commentary

  • Everyone’s still throwing billions at AI data centers

  • What’s behind the massive AI data center headlines?

  • AI Tutorial

  • 5 Best AI Tools

TODAY'S AI" NEWS

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YouTube Music tests AI hosts that share trivia and commentary

YouTube Music is testing a new feature. AI hosts will talk while you listen. They’ll share stories, trivia, and commentary about the songs and artists. This is happening on YouTube Labs, the company’s new platform for testing AI features.

Key Points:

  • The AI hosts are being tested in YouTube Labs. Right now, only a limited number of U.S. users can join.

  • YouTube is expanding on earlier work to add conversational AI features. For instance, users can now ask for a custom radio station using text prompts.

  • The goal is to enhance the listening experience. It’s about adding context to music, focusing on the stories behind the songs.

  • Access isn't just for premium users, but only selected U.S. users can try it now.

Why it matters:

  • This aims to make audio more interactive and immersive, not just passive.

  • It competes by offering features similar to others, like Spotify's AI DJs. This makes music services more than just streaming platforms.

  • It will test how users feel about AI “hosting” their music—does it add value, or is it intrusive?

Everyone’s still throwing billions at AI data centers

This episode of Equity (a TechCrunch podcast) talks about big investments in AI infrastructure. It focuses on how data centres are shaping tech choices and changes. Even as costs and complexity rise, players are doubling down on cloud and compute power.

Key Highlights:

  • The conversation covers commitments like OpenAI’s $100B+ scale investments in infrastructure.

  • It shows how Oracle, cloud providers, and hardware firms are working to win in the infrastructure race.

  • They also touch on how talent, regulation, energy, and geopolitics are intertwined with where and how data centers get built.

  • The “gold rush” mindset is still strong. Companies view owning AI compute as a key advantage, not just an expense.

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What’s behind the massive AI data center headlines?

The tech world is buzzing with big infrastructure deals. Nvidia is investing in OpenAI. Also, new Stargate data centres are coming with Oracle and SoftBank. Plus, Oracle is issuing $18 billion in bonds to support this growth. These aren’t just flashy headlines. They highlight how the AI race is focusing on compute power as its base.

OpenAI launched a new feature called Pulse. However, it’s only for high-tier users due to capacity limits. This shows that infrastructure is now a bottleneck.

Key Points:

  • The investment is huge. Cloud and AI companies are putting billions into data centres. This supports next-gen models and features.

  • Oracle sold $18 billion in bonds to help pay for these new infrastructure projects.

  • OpenAI’s new product, Pulse, shows what AI might offer soon: personalised daily briefings. However, it’s limited by current server capacity.

  • These deals highlight a change. Success in AI now relies not just on model design or algorithms, but also on who can build, host, and scale the infrastructure reliably.

Why It Matters:

  • Infrastructure is now key for AI. If you don’t have enough computing power, you can’t offer top features.

  • It raises higher barriers to entry: newer startups may struggle to compete without access to large data center capacity.

  • The energy, cost, location, and political aspects of building data centres will impact tech, regulation, and society.AI assistant Grok backed Altman. This went against Musk’s antitrust claims.

AI TUTORIAL

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  • Thread Flow and Consistency
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  • Engaging Thread Starters
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  • Tone Adjustment
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BEST AI TOOLS

Free AI Tools You Shouldn’t Miss

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