The latest AI news, launches, models, companies and research — collected from official sources, research feeds and reporting, grouped into stories and ranked by the BharatHunt Trend Score.
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4967 stories
What Makes a Good Unmasking Policy? A Controlled Study of Learned Unmasking in Diffusion Language Models. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Regulation — the section covering text, image, audio and video generation — products and their output.
Social-HUMINT: An LLM-Augmented Unified Framework for Measuring Social Media Exposure. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Models — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
VX-One: Typed, Calibrated Decision Heads for Real-Time Perimeter Triage - An empirical study of unknown-attack honesty, cascade gray zones, and calibration under drift. It centres on Microsoft, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Parallel AI Agent Collaboration as Graph-Structured Distributed Block Optimization. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Coding — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Charts as Epistemic Actions for Experience-Driven Agentic Data Analysis. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
GoiBERT: Compact Vietnamese Language Models via Two-Stage Knowledge Distillation. It centres on Benchmarks, and also names Inference and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and Computer Vision — the section covering a new or updated model, its capabilities, benchmarks or availability.
Looped Uniform Diffusion Language Models. It centres on Perplexity, and also names Inference. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Models — the section covering text, image, audio and video generation — products and their output.
From Reasoning to Action: Benchmarking Frontier AI Models on LIBERO-10 Robot Manipulation Tasks. It centres on Benchmarks, and also names Fine-tuning and GPT. Reported by arXiv. Bharat Hunt files it under AI Models and Robotics — the section covering a new or updated model, its capabilities, benchmarks or availability.
TRACE: Topology-Aware Reconnection via Prediction-Adaptive Connectivity Enforcement for Thin-Structure Segmentation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Coding — the section covering image and video understanding, detection, recognition, multimodal perception.
ReaDy: Recurrent States as Dynamic Context for Speculative Drafting in Hybrid Linear Attention Large Language Models. It centres on Benchmarks, and also names NVIDIA and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Skill-Space Shooting for Autonomous Robot Policy Improvement. It centres on Reliance Jio, and also names GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Regulation, and tracks it as India coverage — the section covering embodied AI, humanoids, autonomous vehicles and drones.
Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering. It centres on Multimodal, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Bharat Hunt links to original reporting and does not republish it. Headlines and links belong to their publishers; summaries and the trend ranking are ours. All AI stories
Our own 0-100 ranking, not an industry metric and not anyone else’s “trending” number. It combines how recently a story was covered (32%), how many independent publications covered it (28%), how fast that coverage is arriving right now (20%), how reliable those sources are (12%) and how many people opened the story (8%).
A story we cannot date carries no score at all rather than a made-up one, so some cards show no badge. Summaries are written by Bharat Hunt from the headline and the coverage — the original article is always the source of truth, and every link goes to the publisher.