Former Google chief decision scientist Cassie Kozyrkov says today’s generative AI is a ‚UX design revolution.‘
It was an astounding, whiplash-inducing week of AI product news from Big Tech.
A new generative AI version of Alexa with a new, custom-built large language model (LLM) marking a “massive transformation of the assistant we love.” Microsoft’s AI companion Copilot baked right into the Windows operating system (OS), with a view across all applications. Google’s Bard tapping directly into Gmail, Docs, Maps and more.
And just days after announcing its DALL-E 3 new-and-improved image generator with support for text and typography, OpenAI dropped a surprise announcement this morning that ChatGPT will now support both voice prompts and image uploads from users.
There’s plenty to unpack from these announcements. But one area stands out to me: The emerging and constantly-improving user experience (UX) design of these AI tools, products and platforms — that presents AI tools to a user that is AI-aware and creates a friendly experience that allows users to play with the raw materials of an AI model and generate new output. Not just in chatbots, but in image generators, copilot-workflows and personal assistant devices.
It’s clear that Big Tech companies like Amazon, Google, Microsoft and OpenAI are driving this trend, which I chatted about a couple of weeks ago with Cassie Kozyrkov, who recently left a decade-long role as Google’s chief decision scientist to strike out on her own. AI designed for consumers
I had already been thinking about how ChatGPT’s debut in November 2022 had jump-started a whole new way of thinking about UX design in AI.
