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.
Updated 1 hour ago·140 stories in the last 24 hours
A Cost That Practice Accuracy Hides: Worked Solutions in Self-Generated Training Data and the Compositional Use of New Rules. It centres on Reasoning Models, and also names Fine-tuning and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
$Φ$asmaNet: A Staged Spectral Token-Refinement Architecture for Fast Gravitational-Wave Signal-to-Noise Ratio Prediction. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
Not All Dimensions Are Equal: Outlier-Aware Attention Linearization with Grouped Quadratic Kernels. It centres on Inference, and also names Benchmarks and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
SWE-DeceptionBench: Benchmarking Deceptive Behaviors of LLMs Across the Software Development Lifecycle. It centres on Reliance Jio, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Funding, and tracks it as India coverage — the section covering papers, benchmarks, evaluations, interpretability and safety results.
SPHERE: Adaptive VR Indoor Scene Generation via LLM-Enhanced Spatial Preference Learning and Human-in-the-Loop RL. It centres on Multimodal, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
Differentially Private Sparse Reward Estimation with Preference Feedback. It centres on Reliance Jio, and also names AI Safety and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models, and tracks it as India coverage — the section covering papers, benchmarks, evaluations, interpretability and safety results.
From Training to Escalation: Forensic Analysis and Local Recreation of RL/RLHF-Induced Privilege Escalation in AI Agents (CVE-2026-65616). It centres on Benchmarks, and also names OpenAI. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education. It centres on GPT, and also names Inference and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Hardware, and tracks it as India coverage — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Specificity Bias and the Wikipedia Paradox: An xAI Analysis of AI Text Detectors under Domain Shift. It centres on xAI, and also names Llama and Mistral AI. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
Aligning MLLMs with the Latent Structure of Human Cognition via Behavior-Derived Semantic Dimensions. It centres on Multimodal, and also names Benchmarks and AI Safety. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
Asking a Multimodal LLM Whether Someone Fell: Zero-Shot Screening of Low-Resolution Thermal Video in a Laboratory and an Occupied Home. It centres on Multimodal, and also names Gemini. Reported by arXiv. Bharat Hunt files it under AI Models and AI Funding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Evaluating In-Context Learning and Retrieval Strategies for Devanagari Post-OCR Correction. It centres on Benchmarks, and also names Gemma and Fine-tuning. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Research — the section covering image and video understanding, detection, recognition, multimodal perception.
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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.