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 5 minutes ago18 stories in the last 24 hours
462 stories
Why Is Video Still So Expensive? A Survey of Inference-Efficiency Mechanisms in Video and Audiovisual LLMs. It centres on Inference, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and Enterprise AI — the section covering papers, benchmarks, evaluations, interpretability and safety results.
From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning. It centres on Multimodal, and also names Benchmarks and Gemini. 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.
On-Policy Distillation for Vision-Language Model Adaptation, an Effective Paradigm on Low-Quality Multimodal Data. It centres on Multimodal, and also names Inference and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.
RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding. It centres on Phi, and also names Perplexity. 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.
The Semantic Bottleneck: Leveraging Semantic Representations for Non-Invasive Speech Decoding. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
GANDR: Claim Auditing for Verifiable Legal Answer Generation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
KVShareArena: KV-Cache Reuse Across Contexts and Model Checkpoints. It centres on RAG, and also names Benchmarks and Nothing. Reported by arXiv. Bharat Hunt files it under AI Models and AI Agents — the section covering a new or updated model, its capabilities, benchmarks or availability.
DiSCo: A Distribution-First Steering and Cultural Prior Evaluation Framework for Measuring Cultural Preference Bias in LLMs. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Two-Token Features and Small-Large Ensembles for VLM Hallucination Detection. Reported by arXiv. Bharat Hunt files it under Computer Vision — the section covering image and video understanding, detection, recognition, multimodal perception. Open the original report for the full detail.
LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation. It centres on RAG, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Introducing Gemini 3.8 Flash and 3.8 Flash Cyber. The story centres on Gemini. Reported by Google DeepMind. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
ATV Big Air Tour turned 3 days of work into 3 hours with ChatGPT. The story centres on GPT. Reported by OpenAI. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
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Stories in the last 24 hours, against the 24 before it. A change is shown only where the earlier window had enough coverage to compare against.
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.