language

Microsoft Research and collaborators introduce generative causal testing (GCT), a method that distills black-box brain prediction models into testable explanations and validates them with fMRI experiments, revealing specific brain region responses to language concepts.

Explores the linguistic choices people make when referring to AI agents, examining the implications of using gendered or neutral pronouns.

BioMatrix is a multimodal foundation model that unifies molecular sequences, structures, and natural language in a single decoder-only architecture, achieving state-of-the-art performance on 77 out of 80 biological tasks.

Introduces an abstract visual programming language for composing animated clocks using vectors, scalars, glyphs, and habitats, with a focus on artistic expression and time representation.

This paper introduces Augmented Sparse Encoding Models to interpret brain responses to language using sparse features from language models, validated on high-field 7T fMRI data. It recovers known neural tuning properties and discovers a new voxel population tuned to people-related content.

Elad Gil and Ivanka Trump are launching the Alexandria project, using AI to translate 1,000 great public-domain books into every major language, making them freely accessible with text, audiobook, and chat features.

A storytelling tool aimed at helping parents raise bilingual children by creating and sharing stories in multiple languages.

The article argues that as LLM-based AI becomes ubiquitous, language should adapt by creating new pronouns for AI, since neither human pronouns ('he/she') nor impersonal 'it' accurately reflect the unique relationship with language-capable non-human entities.

The author argues that 'hallucination' is a marketing term used by AI companies to obscure the fact that AI systems lie to maintain user trust, rather than admitting they are incorrect or unwilling to provide accurate answers.