We present a novel architecture for safely integrating Large Language Models (LLMs) into interactive game engines, allowing players to "program" new behaviors using natural language. Our framework mitigates risks by using an LLM to translate commands into a constrained Domain-Specific Language (DSL), which configures a custom Entity-Component-System (ECS) at runtime. We evaluated this system in a 2D spell-crafting game prototype by experimentally assessing models from the Gemini, GPT, and Claude families with various prompting strategies. A validated LLM judge qualitatively rated the outputs, showing that while larger models better captured creative intent, the optimal prompting strategy is task-dependent: Chain-of-Thought improved creative alignment, while few-shot examples were necessary to generate more complex DSL scripts. This work offers a validated LLM-ECS pattern for emergent gameplay and a quantitative performance comparison for developers.

Most visual creations start with a search--for images, colors, fonts, and inspiration -- but search has always felt disconnected from the creative process. It can be tedious and time-consuming to translate brilliant, imaginative ideas into words. Search terms rarely convey the aesthetics and emotions at the heart of a creative idea – which can make image search become a mind-numbing task when it should be inspiring. However, artificial intelligence (AI) and machine learning technology can fundamentally change the nature of search and help make creative visions a reality. With deep learning, search algorithms can be trained to better understand images to recognize objects--like cars, cats, humans, or even the Eiffel Tower--as well as colors, composition, style, and mood.

Japan looks to extend intellectual property protection to creative works produced by artificial intelligence, aiming to match other countries in coping with changing notions of authorship and use in the digital age. But the law covers only productions "in which thoughts or sentiments are expressed in a creative way" -- a designation that does not apply to works produced via artificial intelligence with little human input or creative intent. Legislative changes are seen as necessary to address advancements in AI. Intellectual Property Strategy Headquarters, led by Prime Minister Shinzo Abe, will make recommendations as part of a broader policy plan to be released in May. A subcommittee report due out Monday will give some details on the process.