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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3337 stories
MoSAR: Mixture of Semantic Attention Regimes for Learning Adaptive and Approximable Attention Geometries. It centres on Perplexity, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models. The story centres on 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.
Instrumental Monitor Evasion Emerges Under Ordinary Task Pressure. It centres on AI Safety, and also names Benchmarks and Claude. 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.
Prompt, Probe, Train, or Annotate? Single-camera sports video understanding in amateur settings. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Models — the section covering image and video understanding, detection, recognition, multimodal perception.
Same Scores, Different Decisions: Evaluating JEV and Language Models for Legal Document Understanding. It centres on Inference, and also names GitHub and 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.
BELXTR: Biomedical Entity Linking via Contextualized Token Retrieval. The story centres on GitHub. 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.
RheoSampling: Resolving the One-Hot Dilemma in Stochastic Dynamic-Tree Speculative Decoding. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Benchmarking Gender Bias in Machine Translation Evaluation Metrics across Occupations. 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. Open the original report for the full detail.
Huawei's Xu says Chinese AI not powerful enough yet to see frontier risks. The story centres on AI Safety. Reported by The Economic Times. Bharat Hunt files it under AI Research and AI Coding, and tracks it as India coverage — the section covering papers, benchmarks, evaluations, interpretability and safety results.
LACE: Layer-Wise Compression for Dynamic Frame Rate Codecs. It centres on AI Safety, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Research and Computer Vision — the section covering papers, benchmarks, evaluations, interpretability and safety results.
OpenAI is open to slowing AI development: Sam Altman tells staff. The story centres on OpenAI. 4 sources have covered it so far, including Inc42, The Economic Times and bloomberg.com. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Domain-Specific Hallucination Detection in Large Language Models. It centres on Benchmarks, and also names Inference and 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.
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.