1 Independent Researcher, Park City, UT, United States 2 Department of Orthopaedics, Rush University Medical Center, Chicago, IL, United States Generative AI, powered by large language models, is ...
For a few days recently, the hottest new hangout on the internet was a vibe-coded Reddit clone called Moltbook, which billed itself as a social network for bots. As the website’s tagline puts it: ...
Abstract: Mobility in daily unstructured environments, particularly in human-centered scenarios, remains a fundamental challenge for mobile robots. While traditional prediction-based approaches ...
The first signs of the apocalypse might look a little like Moltbook: a new social-media platform, launched last week, that is ...
To unlock the real value of generative AI at work, employees need an unexpected set of skills: those of a product manager. Defining high-value problems, finding the right digital tools to solve them, ...
Abstract: Image steganography, the technique of hiding secret messages within images, has recently advanced with generative image steganography, which hides messages during image creation. However, ...
The panel determined that major issues remain to be considered that are not tied to any one of the seven standards, that is, that apply to multiple standards or to larger issues that the standards do ...
In early 2024, executives at artificial intelligence start-up Anthropic ramped up an ambitious project they sought to keep quiet. “Project Panama is our effort to destructively scan all the books in ...
This is the official implementation of our paper QVGen. It is the first to reach full-precision comparable quality under 4-bit settings and it significantly outperforms existing methods. For instance, ...
A massive new study comparing more than 100,000 people with today’s most advanced AI systems delivers a surprising result: generative AI can now beat the average human on certain creativity tests.
This repository contains the code and released models for our paper GRAM: A Generative Foundation Reward Model for Reward Generalization 📝. We propose a more effective approach to reward model ...
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