This article discusses how to leverage GPT-5.4 for generating high-quality, production-ready frontend designs. It highlights significant improvements in GPT-5.4, particularly its enhanced image understanding, ability to create more functionally complete applications, and improved tool use for inspection and verification. The model can now natively use image search and generation tools, allowing for visual reasoning in the design process, and is trained for computer use, enabling it to navigate interfaces and iteratively refine implementations with tools like Playwright.

To achieve optimal results, the article provides practical tips such as defining design systems and constraints upfront, providing visual references or mood boards, and structuring the page as a narrative. It introduces a "Frontend Skill" for Codex, which offers stronger guidance on structure, taste, and interaction patterns, helping the model produce more polished and intentional designs. The skill emphasizes principles like restrained composition, image-led hierarchy, cohesive content structure, and tasteful motion, while avoiding generic cards and UI clutter.

👉 Read the full article on OpenAI Developers

This article likely discusses the significant strain that the accelerating AI race and the proliferation of AI data centers are placing on Europe's power grids. The increasing demand for electricity to power these energy-intensive AI operations is forcing utility companies to find ways to extract more capacity from existing infrastructure.

The rapid expansion of Generative AI and large language models requires massive computational resources, leading to a surge in the construction and operation of data centers. These facilities consume vast amounts of energy, posing challenges for grid stability, sustainability goals, and the overall energy supply in Europe. The article probably explores how utilities are responding to this pressure, potentially through grid modernization, renewable energy integration, or demand-side management strategies.

👉 Read the full article on Wired

This article reports on Japan's ambitious plan to become a major player in the global quantum computing race, aiming to challenge the current dominance of the United States and China by 2030. The initiative is spearheaded by the RIKEN Center for Quantum Computing and Fujitsu, who have already announced the development of a 256-qubit superconducting quantum computer.

The core of Japan's strategy lies in focusing on logical qubits and reliability, rather than solely increasing the number of physical qubits. Their goal is to build a quantum computer by 2030 that is 25% more powerful than IBM's projected leader for that year, specifically targeting 250 logical qubits with drastically reduced error rates. This approach, based on redundancy and error correction, is seen as key to making quantum computing practical and scalable.

As an intermediate step, Japan plans to develop a 1,000-physical-qubit computer by 2026, which would put the country on par with the US and China in terms of raw qubit count within three years. If successful, this strategy could transform Japan from a secondary actor to a primary protagonist in the quantum technology revolution.

👉 Read the full article on Gizmodo en Español