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
Mass Producing Training Data with Surprising Side Effects. 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. Open the original report for the full detail.
DAPS: Dependency-Aware Premise Selection for LLM Theorem Proving. It centres on Benchmarks, and also names GitHub. 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.
Enhancing Sentiment Classification on Small Datasets through Data Augmentation and Transfer Learning. 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.
Can LLM Annotators Match Human Consistency? Benchmarking Human Agreement and Optimizing Multi-Agent with Contrastive Knowledge. It centres on Benchmarks, and also names AI Safety and GitHub. 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.
A Broader Look into MLLM's Retrieval Heads. The story centres on Multimodal. 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.
Acoustic and Lexical Signals for Native Language Identification of Language Learners. It centres on GPT, 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.
ET Startup Awards 2026 | Govt backing and patient capital propel India's leap into AI and chips: Satyan Gajwani. Reported by The Economic Times. Bharat Hunt files it under AI Hardware and AI Startups, and tracks it as India coverage — the section covering chips, accelerators, data centres, on-device inference and supply.
MIRROR: From Imitation to Internalization in LLM Personalization. It centres on Fine-tuning, and also names Meta and AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Menlo Ventures on AI slowdown; Ola Electric CEO pledges stake. It centres on Ola, and also names Anthropic. 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.
KuaFu: Compressing Long User Behavior into Understanding at Billion Scale. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Hardware — the section covering rounds, valuations, acquisitions and investor moves in AI.
Can Jev Judge Radiology Reports? Evaluating a System One Model for Clinical Factuality. It centres on Inference, and also names Benchmarks. 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.
KLEAR: Knowledge-Matched LLM Evaluation in Korean across Application Requirements via Controlled Benchmark Transformation. 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.
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.