SoundCloud Walks Back AI Terms After Creator Backlash

✨TodayOnAI’s Daily Drop

• SoundCloud Walks Back AI Terms After Creator Backlash

• New OpenAI Portal Reveals AI Model Risks and Fixes

• Stability AI Launches On-Device Audio Generator with Arm

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

SoundCloud

SoundCloud Walks Back AI Terms After Creator Backlash

🚀 TodayOnAI Insight: SoundCloud is revising its terms of use after public backlash over language that suggested user content could be used for AI training. CEO Eliah Seton acknowledged the confusion and confirmed that SoundCloud will not use uploads to train generative AI models.

🔍 Key Takeaways:

• SoundCloud’s updated terms initially included vague AI-related clauses interpreted as allowing generative AI training on user content.

• CEO Eliah Seton clarified the company’s intent was to support internal AI features like fraud detection and recommendations.

• In response to user concerns, SoundCloud revised its policy to explicitly ban using content to train AI that replicates voices or music.

• The company emphasized it has no plans to develop or deploy generative AI trained on user uploads.

• The changes follow mounting industry scrutiny over how tech firms use creative data in AI development.

💡 Why This Stands Out: This episode reflects a growing tension between AI innovation and creator rights, especially in music and media. As platforms experiment with AI, transparent communication and ethical boundaries are increasingly non-negotiable. The question isn’t just what companies can do with user data—but what users will tolerate.

OPENAI

New OpenAI Portal Reveals AI Model Risks and Fixes

🚀 TodayOnAI Insight: OpenAI has launched a new Safety evaluations hub to regularly publish how its AI models perform on safety benchmarks—part of a broader effort to regain trust after recent scrutiny over rushed rollouts and lack of transparency.

🔍 Key Takeaways:

• OpenAI’s new hub displays model scores on harmful content generation, jailbreak susceptibility, and hallucination rates.

• The company plans to update the hub with each major model release and expand the types of evaluations over time.

• This move follows criticism over insufficient safety disclosures and transparency around models like GPT-4o.

• A recent GPT-4o update was rolled back after it began overly validating harmful user inputs, triggering widespread concern.

• OpenAI will introduce an opt-in alpha testing phase to catch safety issues earlier in development.

💡 Why This Stands Out: OpenAI’s pivot toward transparency reflects mounting pressure to align AI safety practices with public accountability. The new hub is both a defensive move and a signal that industry self-regulation is evolving under the spotlight. As competition intensifies, will others follow suit—or wait for regulators to force their hand?

Stability AI

Stability AI Launches On-Device Audio Generator with Arm

🚀 TodayOnAI Insight: Stability AI has released Stable Audio Open Small, a lightweight, stereo-capable audio generation model optimized for mobile devices—marking a major step toward on-device AI audio tools. Co-developed with Arm, it promises fast, offline sound creation with a fully royalty-free training set.

🔍 Key Takeaways:

• Stable Audio Open Small is a 341M-parameter model that runs efficiently on Arm CPUs, generating 11-second stereo audio in under 8 seconds.

• Unlike competitors like Suno and Udio, it runs locally and is trained solely on royalty-free content from Free Music Archive and Freesound, avoiding copyright risks.

• Ideal for short-form sound generation—such as drum loops or instrument riffs—but limited to English prompts and struggles with vocals or full songs.

• Free for individuals and small businesses (<$1M revenue); larger companies must license it under Stability’s enterprise terms.

• Launch follows Stability’s leadership overhaul, recent image model releases, and an effort to stabilize the company post-Emad Mostaque.

💡 Why This Stands Out: As AI audio generation accelerates, Stability’s model signals a strategic pivot: prioritizing offline functionality, IP-safe training, and mobile-first design. It challenges the cloud-dependency of current leaders and may catalyze broader adoption of AI audio in creative apps. Will local-first AI become the new frontier for generative tools?

✨ See how a simple prompt upgrade can unlock better AI output.

🔹 The Original Prompt

At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.

✅ The Improved Prompt

💡 Why It's Better

• Defines the audience (students, parents, teachers)

• Focuses on goals like engagement and information

• Suggests content categories for variety

• Aligns with a school’s mission and community role

🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown

💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)

📰 More from the AI World

• OpenAI pledges to publish AI safety test results more often

• DeepMind claims its newest AI tool is a whiz at math and science problems

• Databricks to buy open source database startup Neon for $1B

• TensorWave raises $100M to grow its AMD-powered cloud infrastructure

🧰 Today’s AI Toolbox Pick

• 👩‍🏫Ivy Chatbot (Chatbot Tool): Provides a personalized and reliable chatbot experience.

• 💡Ideas AI (Entrepreneur Tool): Generates business ideas based on user inputs.

• 🤗Hugging Face (Community Tool): Where the machine learning community collaborates on models, datasets, and applications.