Generative AI

Pickuma has adopted a policy of full transparency regarding its use of AI in content production, marking every article with an `aiAssisted: true` flag in its frontmatter. The publication argues that as AI-generated conte…

Salesforce CEO Marc Benioff said during the company's quarterly earnings call Wednesday that the company's engineering headcount has remained flat at about 15,000 over the past two years due to new AI coding agents, whil…

A product manager at a 60-person SaaS company who used Notion AI daily for a year found that the tool saves significant time on meeting note compression and standup generation but produces dangerously inaccurate results …

Focused Labs engineers have identified that agent user interfaces require runtime infrastructure rather than simple text streaming, as agent work now spans tools, subagents, approval gates, and parallel background jobs. …

Researchers have released GenSBI, an open-source library for simulation-based inference built entirely in JAX, implementing flow matching, score matching, and denoising diffusion methods. The library offers three transfo…

A new jailbreak framework called PAST2HARM has achieved up to 100% attack success rates against state-of-the-art multimodal AI systems, including Gemini Nano, GPT Image 2, and SD XL, by exploiting past tense reformulatio…

A new study from arXiv reveals that multimodal large language models (LLMs) frequently produce hallucinated outputs in agricultural imaging tasks, generating biologically inconsistent or agronomically implausible results…

Researchers analyzed 703,975 de-identified Kids Help Phone conversations from 2018-2023 and expanded the platform's 19-label issue taxonomy into a 39-label hierarchical schema. They introduced Keyphrase Generative Repres…

Researchers have developed FLUID, a framework that adapts autoregressive large language models for efficient parallel text generation using diffusion models. By enforcing Strictly Causal Alignment and Elastic Horizons, F…

Researchers have introduced What-If World, a benchmark of 319 prompt pairs testing whether video generation models correctly simulate physical changes in driving and robotic manipulation scenes. Across nine state-of-the-…

Researchers evaluating English-to-Hindi translation systems found that five major generative models frequently erase gender cues through ergative and honorific constructions, failing to preserve gender recoverability fro…

Researchers have developed StoryMI, a multi-agent framework using large language models to generate controlled motivational interviewing dialogues for psychotherapy. The system uses questionnaire-based client profiles ex…

Researchers at the University of Cambridge have identified a fundamental trade-off between stability and expressivity in spoken language models trained on synthetic data, where phonetic accuracy improves but prosodic var…

Researchers have developed AGFlow, a spatiotemporal flow-matching model that fuses asynchronous Sentinel-1 radar and Sentinel-2 optical satellite data to remove clouds and reconstruct missing time-series frames. The mode…

Researchers have developed representation-conditioned diffusion models that generate synthetic training images by conditioning on learned representations from DINOv2, DINOv3, and CLIP, achieving a 10.76 percentage point …

Researchers at the University of Cambridge have developed the first large-scale Ukrainian handwritten text generation system, creating a dataset of 126,177 images from 308 writers and retraining a diffusion-based model t…

Researchers have developed techniques to enable fine-grained and within-utterance speaking style control in prompt-based text-to-speech models. The methods allow smooth style interpolation between utterances and time-var…

Researchers have developed ICG, a framework that uses multimodal large language models and personalized preference alignment to generate cover images tailored to individual users. The system extracts semantic features fr…

Researchers have developed $E^3$-Agent, an executable and evolving agent for managing edge artificial intelligence resource allocation that adapts to unknown and time-varying performance conditions. The system separates …

Researchers have introduced a method to balance fidelity and diversity in diffusion models by decomposing the attention matrix in transformers into symmetric and skew-symmetric components, interpreting the symmetric part…