Pinterest adds controls to let you limit the amount of ‘AI slop’ in your feed

✨TodayOnAI’s Daily Drop

• Pinterest adds controls to let you limit the amount of ‘AI slop’ in your feed

• Why AI Startups Are Strapping GoPros to Artists and Chefs

• Spotify partners with record labels to create ‘artist-first’ AI music products

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

Pinterest

Pinterest adds controls to let you limit the amount of ‘AI slop’ in your feed

🚀 TodayOnAI Insight: Pinterest is rolling out new tools that let users reduce the amount of AI-generated content in their feeds, responding to mounting backlash over the growing presence of “AI slop” across the platform. The controls aim to give users more power to tailor their visual discovery experience amid concerns that generative content is diluting Pinterest’s core value.

🔍 Key Takeaways:

• Users can now adjust settings to limit AI-generated content in select categories like fashion, beauty, art, and home décor.

• The new controls are located under “Refine your recommendations” in the Settings menu and will expand to more categories over time.

• Pinterest will also enhance visibility of its GenAI content labels to help users better identify AI-made images.

• Feedback tools let users mark specific Pins as unwanted AI content to further personalize their experience.

• The feature is live on the web and Android, with iOS rollout expected in the coming weeks.

💡 Why This Stands Out: As generative content continues to flood the internet—Pinterest cites a staggering 57% of all online material as AI-made—the platform’s move reflects a broader reckoning with how to maintain authenticity and trust. For Pinterest, whose appeal rests on curated human taste, the shift toward user control signals a strategic pivot to preserve its core identity in an AI-saturated ecosystem. Can platforms survive if users can’t tell what’s real?

APPLE

Why AI Startups Are Strapping GoPros to Artists and Chefs

🚀 TodayOnAI Insight: AI startups like Turing and Fyxer are redefining the value of training data, opting for human-led, high-fidelity data collection to improve model performance. Instead of scraping the web, they’re paying workers — from artists to executive assistants — to capture nuanced, task-specific footage and annotations.

🔍 Key Takeaways:

• Turing is building a video-first AI model by hiring freelancers to record hours of daily activities — from painting to cooking — using synced GoPro footage.

• The goal: teach the model visual reasoning and step-by-step task understanding using varied, first-person perspectives.

• 75–80% of Turing’s dataset is synthetic, but high-quality real-world footage remains the foundation for generating accurate synthetic data.

• Fyxer uses tightly scoped training sets built by expert executive assistants to improve its AI email assistant’s decision-making.

• Both firms see curated, proprietary data as a core competitive moat, enabling more reliable and specialized model performance.

💡 Why This Stands Out: This shift signals a broader industry turn away from web-scraped data toward high-quality, domain-specific training sets. As foundation models reach performance ceilings, startups are betting that better data — not bigger models — is the next frontier. The real differentiator may not be compute or algorithms, but who controls the most useful, well-curated data.

Spotify

Spotify partners with record labels to create ‘artist-first’ AI music products

🚀 TodayOnAI Insight: Spotify is partnering with major record labels—including Universal, Sony, Warner, and Merlin—to build “responsible AI” tools that prioritize artist consent and fair compensation, signaling a strategic pivot toward ethical AI integration in music streaming.

🔍 Key Takeaways:

• Spotify will co-develop new AI products with leading labels, designed to respect copyright and give artists control over AI use.

• Features will include opt-in mechanisms for artists and rights holders to identify and be compensated when AI uses their work.

• The initiative builds on Spotify’s recent AI policy revamp, which tightened rules against mass AI uploads and spam content.

• The company is also adopting the DDEX labeling standard to mark AI-assisted tracks, improving transparency.

• A dedicated generative AI research lab and product team is now in place, with initial tools already in development.

💡 Why This Stands Out: Spotify’s move underscores a growing divide in the tech world over the role of copyright in AI. By aligning with labels and creators, Spotify is positioning itself as a platform that integrates AI without sidelining human artistry. As generative tools reshape creative industries, will artist-first frameworks like this set a new standard—or remain the exception?

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🧰 Today’s AI Toolbox Pick

• 📱Syllaby (Content Tool): Identifies your social media strategy in 10 minutes.

• 🛩itair (Scheduling Tool): Creates hype trips with hyper-planning to create endless memories.

• ⚙️DupDub (Content Tool): An all-in-one content creation platform that allows you to craft your content effortlessly and streamline your workflow.