We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control
deepmind.google·6d ago
AI Engineering
MIT Technology Review·May 21·5 min read
Scaling creativity in the age of AI
TL;DR
Companies face unsustainable content production costs: consumers demand 12+ hours of video daily across platforms, yet prestige streaming content costs hundreds of thousands per minute to produce. The article argues AI-assisted content creation is now mathematically necessary, not optional, to meet demand within fixed budgets.
✦ Why It Matters
Engineers building content tools must prioritize brand-aligned outputs and human creative oversight, not just throughput optimization.
Key Takeaways
- Implement AI to absorb repetitive tasks in creative workflows.
- Train bespoke AI models on your brand's IP for better alignment.
- Monitor AI visibility to ensure your brand reaches customers.
- Establish clear governance for AI use in content creation.
How It Works
Adobe Firefly Custom Models are tailored to a company's intellectual property (IP), allowing for the generation of brand-consistent content. This integration into existing workflows helps teams produce assets quickly while maintaining creative integrity.