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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842 stories
Personas Are Not People: Identity as State, Not Attribute. 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.
Watermark Basins: Black-Box Detection of Distilled LLMs. It centres on Fine-tuning, and also names AI Safety. 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.
Natural Language Autoencoders Identify Without Explaining. It centres on Reasoning Models, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Tools — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Uncovering Audio-Text Alignment in Large Audio-Language Models through Cross-Modal Concept Neurons. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
On Data Scaling in Tabular ML: More Data, Better Generalization? 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.
RECREG: Recovery-based Shielding for Regular Safety Properties in Reinforcement Learning. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Beyond Downstream QA: Rethinking How We Evaluate Agent Memory. 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.
MIRA: A Musical Intent Refinement Agent for Aligning Text-to-Music Generation with User Intent. It centres on Benchmarks, and also names AI Safety and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and Generative AI — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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.
ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research. It centres on Benchmarks, and also names Claude. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
How Much Is an AI Token Worth? Scaling Laws for Wild AI-Generated Web Text. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Representation Alignment as a Bottleneck in LLM-Based Retrosynthesis Planning. The story centres on AI Safety. 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.