Plus: OpenAI and Nvidia's circular deals are drawing some heat The US Department of Energy appears poised to terminate funding for a pair of large carbon-sucking factories that were originally set to receive more than $1 billion in government grants, according to a department-issued list of projects obtained by and circulating among federal agencies. One of the projects is the South Texas Direct Air Capture Hub, a facility that Occidental Petroleum's 1PointFive subsidiary planned to develop in Kleberg County, Texas. The other is Project Cypress in Louisiana, a collaboration between Battelle, Climeworks, and Heirloom. AI toys are all the rage in China--and now they're appearing on shelves in the US too Kids have always played with and talked to stuffed animals. But now their toys can talk back, thanks to a wave of companies that are fitting children's playthings with chatbots and voice assistants. It's a trend that has particularly taken off in China: A recent report by the Shenzhen Toy Industry Association and JD.com predicts that the sector will surpass ¥100 billion ($14 billion) by 2030, growing faster than almost any other branch of consumer AI.

We propose an end-to-end trainable, cross-category method for reconstructing multiple man-made articulated objects from a single RGBD image, focusing on part-level shape reconstruction and pose and kinematics estimation.

Table 1: The prepending instructions provided to GPT -3.5/4 during our LayoutGPT's 2D and 3D T ask Instruction for GPT -3.5/4 2D Layout Planning Instruction: Given a sentence prompt that will be used to generate an image, plan the layout of the image. Formally, each line should be like "object {width:?px; height:?px; left:?px; top:?px; }". Formally, each line should follow the template: FURNITURE {length:?px:

However, such inputs impose a substantial burden on users when compared to simple text inputs. To address the issue, we study how Large Language Models (LLMs) can serve as visual planners by generating layouts from text conditions, and thus collaborate with visual generative models. We propose LayoutGPT, a method to compose in-context visual demonstrations in style sheet language to enhance the visual planning skills of LLMs.