"Software should be simple. We all know that the best software applications (and suites) are the ones that are so intuitive that no manual is needed i.e. drop-down menus, application wizards and macros, auto-complete functions and easy-to-navigate help menus make modern software usage simpler than it was in the late eighties when those services were just crystallising. But now we have AI workflows driving workplace task and role execution, can we say that things will become simpler, or is there a new complexity through over-engineering"
"Though AI workflows all differ, they share one thing in common: between a simple click or prompt and the almost instantaneous output, complexity hides in plain sight. A single click to remove an image background, for example, seems effortless. But under the hood, specialised AI models, complex orchestration layers, and scalable GPU servers are all working together to make it happen."
""One of these on its own isn't production-ready or useful. But when we orchestrate multiple models together, we can build workflows that handle more complex operations, such as removing a background or extending an image to adjust its aspect ratio," explained Vaxman. "We took this approach because it's very hard to build one AI that can do everything well. Even the big LLMs today, which go beyond text into tasks like image editing, use specialised models behind the scenes.""
Modern software user experiences appear simple, but AI-driven visual media workflows conceal substantial complexity behind single-click actions. Individual ready-to-use AI models are designed to perform narrow, atomic tasks and are not production-ready alone. Orchestration of multiple specialized models enables compound operations like background removal or image extension to adjust aspect ratios. Achieving seamless simplicity requires complex orchestration layers, scalable GPU infrastructure, and extensive engineering. Building one AI to perform every visual-media operation well remains impractical, so system design relies on combining specialized components and infrastructure to deliver fast, intuitive results. Large multimodal models similarly rely on specialized components to handle tasks like image editing effectively.
Read at Techzine Global
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