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AI is changing how beatmakers work. The two biggest new tools—Suno and Udio—are making music creation easier than ever. But does this mean beatmakers should worry? Or is this just a new way to make cool music?

How Do Suno & Udio Work?

• Suno and Udio are AI programs that make music for you.
• You just type what you want (like “make a cool hip-hop beat” or “write a sad melody”) and these tools turn your ideas into real songs.
• Suno is good for making long, full songs.
• Udio is good for teamwork—many people can work on one song together.
• Both tools create music fast, let you change things, and can sound just like “real” music.

If I export stem from Suno, sample one of the stems, chop the sample using Ableton’s simpler, flip it, and then create a new beat out of it, is it still AI-assisted even if I did everything by myself?

If you export a stem from Suno (an AI tool), chop it, flip it, and make a beat with your own creativity, whether your final track is called “AI-assisted” depends on who you ask—because there’s no single rule yet:

This is crazy. Soundrop mentioned that they will be increasing their price from $0.99 to $4.99 from August 1, 2025.

I am not sure if BeatStars member are affected or not, but people might have to start looking for alternatives.

If you are looking to change to Distrokid, use this link and you will get 7% off.

Have you ever paid 50 credits to extract stems from a song on Suno, only to have the system generate just two audio parts? I have. 50 credits is a significant amount, so it was pretty shocking. Where is my bass? It seems like it is still mixed with the keyboard..

Apparently, Suno’s stem extraction can generate up to 12 different stems…

The feature should make it possible to download and edit up to 12 individual stems. In my experience with instrumental tracks, I usually got about 4 or 5 stems at most.

Let’s compare the originality of chopping record samples versus Suno stems, focusing on beatmaking:

Chopping Record Samples

• Source: Refers to using music from existing, traditionally released records (vinyl, CDs, etc.), often decades old or from famous artists.
• Originality Factor:
  • Originality comes from how you flip/chop the sample—unique patterns, pitch shifting, recontextualizing, etc.
  • But the source material itself is usually recognizable and deeply embedded in music history.
  • Thorough chopping and heavy processing can make the result feel new, but traces of the original may be recognized by those familiar with the source (and by copyright detection).
• Risks: Significant chance of someone noticing the sample origin, especially for famous or obscure digger favorites.

As music production tools continue to evolve, new workflows emerge that unlock fresh creative possibilities. Recently, I discovered the joy of exporting stems from Suno and chopping them up in Ableton Live’s Simpler device to create brand new phrases. This process brings a refreshing hands-on element to music made with AI, blending the best of both worlds.

Exporting Stems from Suno

Suno is an AI-powered music creation service that not only generates full tracks but also lets you export stems—separate audio files for each instrument or vocal track. With stems in hand, you’re no longer limited by the original arrangement. Instead, you can take any part—drums, bass, melodies, effects—and remix them however you like.

Deezer, the popular music streaming platform, has announced a new initiative to address the growing presence of AI-generated music. This move aims to protect the rights of both artists and listeners while ensuring transparency in how music is presented on the platform.

Overview of Deezer’s AI-Generated Music Tagging System

1. Detection and Tagging of AI-Generated Music Deezer has developed tools to automatically detect AI-generated music and tag it accordingly. This allows users to distinguish between music created by humans and that generated by artificial intelligence, promoting transparency.
2. Volume of AI-Generated Music According to Deezer, approximately 10% of the tracks uploaded daily (around 10,000 songs) are entirely AI-generated. This surge is attributed to the growing use of generative AI models like Suno and Udio.
3. Technical Features Deezer’s detection tools are designed to work across multiple generative models without relying on specific datasets. The company is also working on advanced technologies to identify deepfake vocals and mimicry in music.
4. Exclusion from Recommendations AI-generated music will be excluded from algorithmic recommendations, ensuring that users do not encounter such content unless they actively seek it out.

The recent addition of the Playlist feature in Suno 4.5+—which lets you “pick a playlist of your own songs to inspire your next creation” and promises that only your music will be used to shape the output—marks a significant evolution in the landscape of AI-powered music creation. This update empowers artists to anchor AI output more directly to their personal style and catalog, standing out from previous versions that relied primarily on prompt text and parameter tweaks.

Introduction

If you’ve spent time composing music on Suno, you might recognize a common dilemma: whether to remake your older tracks—those crafted during the v3.5 era—with the platform’s most recent version. Tools like the Cover feature seem to promise a magical boost in audio quality. But once you begin the process, it feels like an endless loop. This is my take on why this problem persists and what it means for creators exploring the bleeding edge of AI music production.

While detailed, official documentation about Suno 4.5+ is still limited, early announcements and community chatter offer some insight into what distinguishes 4.5+ from the already feature-rich Suno 4.5.

Key Upgrades in Suno 4.5+

• New Ways to Create and Remix: 4.5+ introduces enhanced flexibility for creation and experimentation. You can now swap vocals, flip instrumentals, and even spark a new song from any playlist. This opens up advanced remixing workflows that weren’t present in 4.5.