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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5345 stories
Inverting Multi-Vector Visual Document Indices. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Funding and Computer Vision — the section covering rounds, valuations, acquisitions and investor moves in AI. Open the original report for the full detail.
South Korea's Lee says AI appears to have been used in bank hacks. Reported by The Economic Times. Bharat Hunt files it under AI Models, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
South Korea plans to develop $3.5 billion frontier AI model starting next year. Reported by The Economic Times. Bharat Hunt files it under AI Models and AI Funding, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
The Rise Of Bank-Built AI, Weekly Funding Rundown & More. Reported by Inc42. Bharat Hunt files it under AI Funding and AI Tools, and tracks it as India coverage — the section covering rounds, valuations, acquisitions and investor moves in AI.
Predicting and Repairing Merge Collapse in Large Language Models. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Source Preference in the Wild: How LLM Agents Favor Items by Source, and How to Reduce It. Reported by arXiv. Bharat Hunt files it under AI Research and AI Funding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Not Until the Evidence Says So: Teaching LLM Investigators When to Close a Case. The story centres on Fine-tuning. 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.
Gains and Collapse in On-Policy Distillation:A Reinforcement Learning Perspective. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
Hindsight-Guided Rationale Distillation for Rare Disease Diagnosis. It centres on Reasoning Models, and also names Inference. 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.
Predicting Steering Vectors and Adapter Weights for Few-Shot Author-Style Transfer. The story centres on Fine-tuning. 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.
Improving Visual Sensitivity of LLMs on Multimodal Machine Translation with Metric-based Loss Weighting. It centres on Multimodal, and also names Fine-tuning. 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.
JevAdvBench: A Benchmark and Black-Box Attacks for Reinforcement Learning for Calibrated Decisions Models. It centres on Benchmarks, and also names Nothing and 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.
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
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.