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
Character Training for Risk-Averse Agents. The story centres on Benchmarks. 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. Open the original report for the full detail.
Neural topology optimization of ship structures under propulsion machinery vibrations. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Research — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
Probability is Not Enough: Exploring and Counting Divergent Tokens for Reasoning Uncertainty Quantification in LLMs. It centres on Reasoning Models, and also names Benchmarks and DeepSeek. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Telescopic Language Models. It centres on Nothing, and also names Inference and Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning. It centres on Multimodal, and also names Fine-tuning and Inference. Reported by arXiv. Bharat Hunt files it under AI Models and Generative AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
Retrieving Biblical Intertextual References in Karen Blixen's Seven Gothic Tales. It centres on Benchmarks, and also names Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Models — the section covering rounds, valuations, acquisitions and investor moves in AI.
Scaling Long-Form Story Generation via Narrative State Tracking. 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.
TokenCast: Forecasting Token Consumption During LLM Agent Execution. The story centres on 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.
How to Loop MoE: Flatten the Experts, Untie the Attention. The story centres on GitHub. 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.
ECG Mirage: Revealing and Mitigating the Underutilisation of ECGs in Vision-Language Models for Clinical Prediction. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
On Turn-Level Best-of-N Sampling for Scaling LLM Agents. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases.
CounterFactual Retrieval for Evidence-Aware Individual Animal Identification. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding — 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.