UX design
fromMedium
7 hours agoDo less with AI
Trying to do too much hinders productivity and leads to unfinished projects and feelings of inadequacy.
The blank canvas wasn't a hurdle; it was an invitation. An invitation to think, to wrestle, to connect disparate dots until a clear, compelling strategy emerged. Today, that invitation often comes in the form of a blinking cursor in a prompt box. The promise is seductive: speed, efficiency, and democratized creativity.
AI Mode can use your previous conversations, along with places you've searched for or tapped on in Search and Maps to deliver more relevant options, personalized to you. So if AI Mode infers that you have a preference for Italian food, plant-based meals, and places that have outdoor seating, you may get results suggesting options like these.
In Premiere, the company's video-editing software, it has unveiled a new AI-powered Object Mask feature that lets you easily pick and track persons or objects moving through your video clips. You simply have to hover over that object and click to generate a mask overlay in seconds. While the mask is supposed to be accurate from the start, you can adjust and resize it as needed. Adobe says the feature uses its own AI model for the feature and that the processing happens on-device.
Adobe has improved the tools for Generative Fill, Generative Expand and Remove that are powered by its Firefly generative AI platform. Using these tools for image editing should now produce results in 2K resolution with fewer artifacts and increased detail all while delivering better matches for the provided prompts.
ChatGPT has come a long way since its introduction in 2022. Usually, when we discuss improvements, we talk about how the AI model has gotten better, safer, and smarter. But if you deconstruct the name ChatGPT, you're left with "chat" and "GPT," where GPT means generative, pre-trained transformer (that's the AI part). Today, we're going to dig into the chat side, because ChatGPT has become a far more full-featured AI chat app than it was back when it first launched.
The internet is filled with supposed magic prompts that promise perfect AI outputs. Jordan Wilson sees this misconception constantly in his work, helping companies adopt AI tools. The fundamental problem is context. When someone shares a prompt that generated great results for them, they're only sharing the surface-level instructions. They're not sharing their conversation history, their accumulated context, or the back-and-forth refinement that led to that prompt actually working.