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Anthropic's Claude Design is more than just a drafting function, it's a new task layer that reads design systems and codebases and interactively creates prototypes. Compared to Figma Make and Adobe Firefly Boards, we've put together a practical guide on which teams should pilot now.
Google combines personal intelligence and Nano Banana in the Gemini app. Now, we've outlined from a practical perspective why the image creation race is shifting from model performance to personal data connectivity, privacy design, and user control.
The point of Meta's unveiling of Muse Spark is not simply the launch of a new model. What is more important is that Meta, which was focused on open weight, changed its product strategy by focusing on private preview API and integration with its own apps. Based on official announcements and comparative data, we have summarized which teams you should pay attention to right now.
AI performance is rising rapidly, but talent movement and new hiring structures are changing even faster. Based on the Stanford AI Index 2026 numbers, we have summarized the operational standards that development teams, education teams, and hiring managers should check now.
The Linux kernel did not block AI-generated code. Instead, it enforced Assisted-by disclosure, Human Signed-off-by responsibility, and License review. This article is not a news summary, but rather summarizes the standards for code review and contribution policies that the development team must change now.
Anthropic's Project Glasswing is not an announcement of a new model, but rather a demonstration of how security operating systems must be redesigned the moment AI changes the speed of vulnerability detection. Based on Mythos Preview examples, we've organized who needs to prepare now and what needs to be fixed first.
This is an explanatory guide that summarizes from a practical perspective the fact that the actual bottleneck of AI data center investment is not GPU, but power unit price, grid connection, and regulatory stability, following the incident in which OpenAI halted the British Stargate project.
Google's addition of a self-harm/suicide crisis response interface to Gemini is not a simple feature patch, but an example that shows what operating standards generative AI services should have in sensitive areas. Based on the official announcement and related materials, the product team has compiled checkpoints to be applied immediately.
Based on AI Times' BullshitBench report, we have compiled a practical verification checklist of the "ability to reject incorrect premises," which should be considered before the percentage of correct answers in LLM evaluation.