As asked
Adobe is integrating generative AI features like Firefly into Photoshop and Illustrator. As an engineer on that team, what are the biggest technical and product tradeoffs you need to navigate? Consider latency, cost, copyright, trust, and the experience of professional users.
Sample answer outline
Strong answers cover at least four dimensions: latency (inference is slow; users expect immediate feedback; solve with progressive previews, speculative decoding, or cached style seeds), cost (GPU inference at scale is expensive; token budgets, model distillation, and client-side inference for simpler tasks matter), copyright and provenance (Adobe's Content Credentials and C2PA standard are relevant here; professional users care about liability), and trust (professionals need to understand what the AI changed so they can correct it; non-destructive AI layers and prompt history are more trustworthy than magic black boxes).
Expect these follow-ups
- A professional photographer is worried that AI-generated content will devalue their work. How does Adobe's approach address that?
- Your AI feature is 3x slower on older hardware. How do you decide what minimum spec to support?