Spotify Finally Lets You Fix Your Music Taste

PLUS: How to train Spotify's AI to understand your real music taste

✉️ Editor's Note

Ever feel like Spotify's recommendations just don't "get" you? That Discover Weekly playlist full of songs you'd never listen to? Today's biggest story is about taking back control from the algorithms. We're also looking at how AI is transforming customer service and bringing personal AI assistants to your computer. The theme today: AI that adapts to YOU, not the other way around.

— Sarah Chen, Editor

🗞️ TODAY IN AI

1. Spotify will let you edit your Taste Profile to control your recommendations: Spotify is introducing a feature that lets users directly edit their Taste Profile—the AI system that powers personalized playlists like Discover Weekly and Wrapped. You'll be able to remove genres you don't like, adjust your mood preferences, and fine-tune recommendations. Link to story Why it matters: No more getting stuck in a musical rut or having your recommendations hijacked by that one guilty pleasure song you played 50 times. You can finally teach Spotify what you actually want to hear.

2. Wayfair boosts catalog accuracy and support speed with OpenAI: The home goods giant is using OpenAI models to improve customer support and product catalog accuracy. AI now handles initial ticket triage, answers common questions, and automatically enhances millions of product descriptions and attributes. Link to story Why it matters: This means faster, more accurate help when you're shopping online, and better product descriptions that actually help you make buying decisions. It's AI working behind the scenes to make your shopping experience smoother.

3. Perplexity's "Personal Computer" brings its AI agents to personal computers: Perplexity is expanding its "Computer" AI agent system to run locally on your personal computer. This allows you to use AI agents that can access your files securely and work offline, handling tasks like document analysis and research without sending data to the cloud. Link to story Why it matters: You get AI assistance that respects your privacy and works with your local files—perfect for sensitive documents or when you need to work offline.

🔬 DEEP DIVE

By Marcus Rivera

Spotify's Taste Profile: Taking Back Control From The Algorithm

For years, Spotify's recommendation engine has felt like a black box—mysterious algorithms deciding what music you should hear next. The new Taste Profile editing feature changes that dynamic completely. Instead of being a passive recipient of AI-curated playlists, you become an active participant in shaping your musical journey. This represents a significant shift in how streaming services approach personalization.

Why it matters for you: This isn't just about skipping bad recommendations—it's about reclaiming your digital identity. Every time you listen to something "for the kids" or play background music for a party, those choices get baked into your profile. Now you can separate your actual taste from situational listening. The practical impact? Better workout playlists, more accurate "chill vibes" mixes, and a Wrapped year-end review that actually reflects your musical year.

The takeaway: When the feature rolls out (expected in the next few weeks), take 15 minutes to review your Taste Profile. Look for genres you never actually choose, remove songs that were "phase" listening, and adjust your mood preferences. This small investment will pay off in better daily listening experiences and could even help you discover new artists you'll genuinely love.

🎓 AI ACADEMY

By Alex Torres

How to train Spotify's AI to understand your real music taste

👤 Best for: Music lovers, parents whose kids hijack their account, people with eclectic tastes, anyone tired of repetitive recommendations

Spotify's new Taste Profile editing gives you unprecedented control over your music recommendations—but you need to know how to use it effectively.

1. Access your Taste Profile: When the feature launches, go to Settings > Account > Taste Profile. You'll see a dashboard showing your top genres, moods, and listening patterns.
2. Clean up your history: Remove genres you don't actually enjoy. Did you listen to lullabies for your baby? Classical music for studying? Remove those from influencing your daily recommendations.
3. Adjust your mood sliders: Spotify categorizes music by mood (energetic, chill, focus, etc.). Slide these to match when you actually listen to different types of music.
4. Flag specific songs/artists: Use the "Don't recommend" feature on songs or artists that don't represent your current taste, even if you listened to them in the past.

Sample Prompt (copy and paste this):

I want to improve my Spotify recommendations. Please analyze my listening history and identify patterns that might be skewing my Taste Profile. Look for:
1. Genres I only listen to situationally (like lullabies, workout music, or party playlists)
2. Artists I've outgrown but still appear in recommendations
3. Mood imbalances (too much focus music vs. relaxation music)
4. Seasonal listening that doesn't reflect my year-round taste

Then suggest specific adjustments I should make to my Taste Profile settings when the editing feature becomes available.

💡 Pro tip: Create separate playlists for different contexts (workout, work, relaxation) and use Private Session when listening to music that doesn't reflect your actual taste. This keeps your main profile clean.

⚡ QUICK HITS

• 🔧 AI-Powered Music Discovery: SoundCloud's new AI feature suggests songs based on the "vibe" you describe in words, not just listening history. Link
• 🎯 Local AI Document Assistant: Microsoft's Copilot now works offline with local files, offering document analysis without cloud uploads. Link
• 🚀 AI Recipe Personalizer: Yummly's AI can now adjust recipes based on your dietary restrictions and ingredient preferences automatically. Link

💬 PROMPT OF THE DAY

Music Mood Matcher

I'm in a [specific mood, e.g., "productive morning", "chill evening", "energetic workout"] mood and want to discover new music that matches. I typically enjoy artists like [list 2-3 artists you like]. Please suggest:

1. 3-5 songs that match both my mood and musical taste
2. 2 artists I might enjoy based on this combination
3. A description of why these recommendations fit the mood I described

Keep the suggestions fresh—avoid my most-played artists unless they perfectly fit the mood.

See you tomorrow,
The Have AI Do It Team
Sarah, Marcus, Alex & the crew

We translate 'Tech Velocity' into 'Everyday Utility.'