Another round through the accumulation. No organizing idea, as usual — just what was still open. Two on the memory chain, working the same problem from different ends. AMD's acquisition of MEXT to make NAND flash behave like DRAM eases the crunch without actually threatening the incumbents, while Kioxia's storage gambit reads as flash arguing its way up the AI memory … [Read more...] about Fifteen: What the Tabs Left Behind
Turning AI Drafts into Real Work: Canva Expands Deep Integration with Anthropic’s Claude Design
A familiar friction has been sitting right in the middle of the AI boom—ideas are cheap now, almost too easy, but turning them into something structured, editable, and actually usable still feels like crossing a gap. Canva is going straight at that gap with its latest move, tightening its integration with Anthropic’s Claude Design in a way that feels less like a feature update … [Read more...] about Turning AI Drafts into Real Work: Canva Expands Deep Integration with Anthropic’s Claude Design
Adobe Introduces Firefly AI Assistant, Turning Creative Workflows into Conversations
A shift is taking shape inside Adobe, and it’s less about adding another feature and more about redefining how creative work even begins. The newly unveiled Firefly AI Assistant feels like a deliberate attempt to collapse the traditional friction between idea and execution, replacing menus, layers, and timelines with something closer to a conversation. Instead of opening … [Read more...] about Adobe Introduces Firefly AI Assistant, Turning Creative Workflows into Conversations
What the Sunglasses Saw
The obvious read of this frame is a woman at a Pride event showing something on her phone to the man beside her. That is what is happening. It is not what the photograph is about. Look at the lenses. The mirrored aviators are doing what mirrored aviators always do at outdoor events — pulling in everything the wearer is technically facing away from. In this case, a rainbow … [Read more...] about What the Sunglasses Saw
What Photoshop’s Generative Fill Gets Right and Wrong
Photoshop's Generative Fill arrived with significant fanfare and has settled into something more nuanced: a genuinely useful tool in specific workflows, and a genuinely limited one in others. The distinction is worth mapping. What it gets right: background extension and scene completion in images where the generated content does not need to be scrutinized at high resolution. … [Read more...] about What Photoshop’s Generative Fill Gets Right and Wrong
The Art of the Subtle Edit: When Less Processing Wins
Heavy processing announces itself. The image becomes about the edit rather than the subject, the light, or the moment — and once that shift happens, the viewer is looking at craft rather than content. Sometimes that is the intention. Often it is not. The photographers whose work holds up over time — across genres, across decades — tend to share a characteristic in their … [Read more...] about The Art of the Subtle Edit: When Less Processing Wins
How ControlNet Changed AI Image Generation
Before ControlNet, AI image generation was fundamentally a prompt-to-image process with limited spatial control. ControlNet changed the axis of what was possible, and the change is significant enough that it is worth understanding structurally rather than just operationally. ControlNet is a neural network architecture that conditions image generation on additional spatial … [Read more...] about How ControlNet Changed AI Image Generation
Capture One vs Lightroom: The Real Differences in 2026
The Capture One versus Lightroom comparison has been relitigated continuously for a decade. The gap has narrowed. The meaningful differences that remain are specific enough to be worth stating clearly. Color. Capture One's color engine is genuinely superior for complex color work. The Color Editor, with its skin tone tool and the ability to create selections based on hue, … [Read more...] about Capture One vs Lightroom: The Real Differences in 2026
Why Your AI-Generated Images Look Like AI-Generated Images
Most people can identify AI-generated images on sight. The models keep improving, and yet the tell persists. Understanding what is being detected is useful both for evaluating AI output and for prompting more effectively. The most common identifier is a kind of hyper-coherence — every element of the image rendered with equal sharpness, equal detail, equal attention. Real … [Read more...] about Why Your AI-Generated Images Look Like AI-Generated Images
How to Add Film Grain That Doesn’t Look Digital
Digital grain added in post looks different from film grain, and most photographers can feel the difference even when they cannot articulate exactly why. The reason is structural, and fixing it requires understanding what film grain actually is. Film grain is silver halide crystals that vary in size, distribution, and clumping behavior depending on film stock, ISO, and … [Read more...] about How to Add Film Grain That Doesn’t Look Digital