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Pulse · nrn.com

nrn.com · Nov 4

Uber Eats sees little traffic from AI agents

The company reported virtually no business from AI despite recent buzz about the technology.

Pulse · msn.com

msn.com · Nov 4

Exclusive: Meta buys AI startup, joins race to own coding in show of outsized ambition

Meta has acquired Conductor, an AI coding startup that lets software engineers manage multiple coding agents simultaneously, sources familiar with the deal tell Axios exclusively. Why it matters: Meta is joining OpenAI and other AI giants in a race to own the tools developers use,

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Top picks this weekarXiv

arXiv

Nov 3

DreamX: Video Diffusion Model is a Universal Latent Action Learner

Learning a universal action representation from video requires modeling dynamics that are consistent across different executions of the same action yet invariant to changes in embodiment and appearance. Existing latent action models infer actions from visual transitions, but their representations often entangle the underlying action with irrelevant visual variations, limiting transfer across embodiments. We introduce DreamX, which repurposes a pretrained video diffusion model as a universal latent action learner. Our approach extracts compact latent actions from the video model's rich spatiotemporal features, compressing each latent video frame by $\boldsymbol{300\times}$ ($\boldsymbol{1{,}200 \rightarrow 4}$ tokens). In addition, by leveraging the video model's generative prior, these latent actions capture action-relevant dynamics disentangled from visual appearance. The resulting latent space serves as a shared action interface across embodiments (human and robot), environments, and action parameterizations. On LARY-Bench, DreamX achieves state-of-the-art performance among latent action models. Moreover, actions encoded in one setting remain effective in another: the latent…

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arXiv

Sep 22

Recognized but Not Produced: A Generation Benchmark for Culturally Specific Kinship Terms

Current literature evaluates large language models (LLMs) on multilingual kinship understanding using multiple choice benchmarks, treating it as a recognition problem. We instead prompt five open weight LLMs to generate kinship terms in three non Western languages (Hindi,…

arXiv

Sep 22

The Computational Value of Sensory-Aligned Receptive Fields Depends on Neuronal Expressivity

Biological sensory neurons have selective receptive fields organized along meaningful stimulus coordinates, such as frequency, motion direction, or retinotopic position. Such structure may arise from efficient coding and biological constraints on activity, connectivity, and…

arXiv

Sep 22

Which Objectives Need a Dial? Predicting Objective Conflict and Covering Trade-offs in Steerable Pluralistic Alignment

People hold diverse, sometimes conflicting values, so no single aligned model can satisfy everyone. Pluralistic alignment therefore calls for steerable models that can balance competing objectives differently. Multi-Objective Direct Preference Optimization (MODPO) does this by…

arXiv

Sep 22

Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations

The objective of this article is to provide design principles and a software architecture for enabling interaction between humans and multiple agents in simulated dynamic worlds. This connects the current era of general artificial intelligence (AI/AGI) with the proliferation of…

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