is an art director at The Verge. The illustration for The New Yorker’s profile of OpenAI CEO Sam Altman is a jump scare. Altman stands in a blue sweater with a blank expression. Around his head hovers ...

Order/Disorder is the debut monograph of generative artist Tyler Hobbs, bringing his algorithm-driven practice into the physical world through a carefully crafted printed publication. Commissioned by ...

Generative AI is now raising urgent questions about whose work is valued, whose labor is erased, and which social biases are quietly reinforced in the process. With AI-generated images winning art ...

Razer CEO Min-Liang Tan has weighed in on the discussion surrounding generative AI in game development, claiming that the controversial technology has a place in the industry, but gamers just aren’t ...

GameSpot may get a commission from retail offers. Battlefield 6 players believe they have discovered evidence that the game features AI-generated art. People are theorizing that some of the art in ...

This official, human-made Warhammer 40,000 artwork is beloved by fans, most of whom take a dim view of the mere whiff of generative AI “art” sold or released in any official capacity by either Games ...

One of the elements that makes Guillermo del Toro’s work — including one of 2025’s best films, Frankenstein — so impactful is his adherence to largely man-made practical effects. So, it makes sense ...

SHARON, Pa. – What do you want to be when you grow up? That’s a commonly asked question as children progress through school. Even adults are often asked to fantasize about what they will be doing in ...

A new art installation is catching people's attention in Miami for its canine composition. The installation, named "Regular Animals," features multiple public figures and celebrities as robotic dogs, ...

Abstract: Generative AI models have introduced unprecedented new capabilities to edge devices, everything from writing poetry to summarizing complex documents, generating incredible images and even ...

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...