Daily Edition · Page 5

THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR Design

THE FOLDABLE IPHONE HASN'T LAUNCHED, BUT APPLE IS ALREADY PLANNING ITS SUCCESSOR

Apple is reportedly already developing a second-generation foldable iPhone for 2027, suggesting the company views foldables as a long-term product category rather than an experiment. Expected to feature a wider, iPad-like design with a 7.8-inch inner display, the foldable iPhone reflects lessons learned from years of Android manufacturers refining the form factor and could become a permanent premium tier in Apple's lineup.

FOUR WAYS WE'RE USING OUR MCP SERVER AT FIGMA

Figma's MCP server now spans Slides, FigJam, Make, and the new Figma Agent, enabling users to create or update presentations, boards, and prototypes directly from prompts. Teams are using it to refresh branded decks with live content pulled from tools like Slack and Google Drive, generate pre-populated FigJam workshops from data across Asana, Notion, and Hex, and move designs fluidly between canvas and production code without leaving Figma. A new download_assets tool also lets users export SVGs, PDFs, JPGs, or PNGs straight from design files, while write capabilities remain in open beta.

WHAT IS AX?

AX (agent experience) shifts the design paradigm from teaching users to operate software toward letting them simply state their intent. As AI agents collapse the "Gulf of Execution" — the struggle to figure out how to do something — the "Gulf of Evaluation" widens: the screen's new job is helping users judge whether agents did what was actually meant. Counterintuitively, blind users who have long navigated computing through language and memory may be best equipped for this shift.

WHAT FIGMA MADE VISIBLE

Figma bridged front-end engineering logic and design thinking for one practitioner, making structural relationships — components, styles, and tokens — tangible and learnable through hands-on friction. AI tooling now risks smoothing away exactly that friction, producing designers who generate plausible-looking work without deeply understanding the decisions behind it. Whether today's practitioners will develop equivalent structural intuition through different feedback loops remains an open question the industry has yet to answer.

DESIGNING WITH UNCERTAINTY: HOW AI SUPERCHARGES PROBABILISTIC THINKING

Designing with AI requires embracing probabilistic thinking — treating model outputs as weighted signals rather than definitive answers, since AI systems predict based on historical patterns that may embed biases and miss future shifts. Practical applications range from calibrating design effort to confidence levels to keeping humans in the loop for review, correction, and model improvement. Ultimately, the mindset shift is less about tools and more about framing: instead of asking, "Will this work?", designers should ask, "How likely is this to work, and what happens when it doesn't?"

AI IS NOT A NEW MARKETING PROBLEM. IT IS A NEW BRAND INTERFACE

Most AI marketing challenges — search visibility, recommendations, consistency, attention — are reframings of long-standing problems marketers have navigated before. As consumers delegate purchasing decisions to AI agents, algorithms rather than humans will become the target audience. Until that AI-to-AI marketplace materializes, today's challenges remain identical in nature to those marketers have already solved.

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