For a design system program where the goal is often stable, high quality, durable output, how much instability, lack of quality, or impermanence can we tolerate in our tools? That’s the question Nathan Curtis and I asked the design system community for Episode 060 of The Question.
I think a lot of blogging is reactive. You read other people’s blogs and you’re like, no, that’s totally wrong. A part of what we want to do with this scenario is say something concrete and detailed enough that people will say no, that’s totally wrong, and write their own thing.
On iOS, these are in the tertiary keyboard. You have to go to the keyboard with the numbers and common symbols then click the symbols button to see the angle brackets. Then you need to swap back to the main keyboard to type an element name, potentially move to the second keyboard for quotation marks if you want to add an attribute to your HTML element, and go back to…
I write, to think. More than anything this essay is an attempt to think through a bunch of hard, highly speculative ideas about how AI might unfold in the next few years. A lot is being written about the impending arrival of superintelligence; what it means for alignment, containment, jobs, and so on. Those are all important topics.
Discover OpenAI’s GPT-Image-1, a powerful AI image generation model that creates stunning visuals from text prompts.
JavaScript continues to evolve rapidly, driven by the work of TC39 and active contributors like the Deno team. At the recent 108th TC39 meeting, nine proposals moved forward across stages — from early concepts (Stage 0) to fully standardized features (Stage 4).
Across higher education globally, institutions are reimagining how to prepare students for a digital-first world. As part of that movement, Adobe is proud to recognize the inaugural Adobe Creative Campus Innovators — nine standout universities selected by Adobe that are leading the way in engaging students deeply with Adobe’s creativity, productivity, and AI tools across disciplines.
In this post, we highlight the desire to replace tokenization with a general method that better leverages compute and data. We’ll see tokenization’s role, its fragility and we’ll build a case for removing it. After understanding the design space, we’ll explore the potential impacts of a recent promising candidate (Byte Latent Transformer) and build strong intuitions around new core mechanics.
Generative AI (genAI) is reshaping how people search for information. Anyone watching their content pageviews decline is currently experiencing the impact of this. But what’s behind the shift? The speed of the change is impressive, considering how deeply ingrained information-seeking habits can be.
A recent study reveals why well-designed AI explanations often go unused and what it means for UX practice
