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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4800 stories
Disclosure Begets Disclosure: A Self-Reinforcing Privacy Loop in LLM Agents with Persistent Memory. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Funding — the section covering law, policy, courts, standards and government positions on AI.
Trajectory Replay: Continuous-Time Mixture Transport for Lifelong Generative Models. 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. Open the original report for the full detail.
ReAnchor: Reusing Rejected Verifier States for Diffusion Drafting. It centres on Gemma, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under Generative AI — the section covering text, image, audio and video generation — products and their output.
A Refresh Interval Does Not Fully Specify a Refresh Schedule: Learning-Rate-Dependent Placement in Kronecker-Preconditioned Language Model Training. The story centres on GPT. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Towards In-Parameter Memory Augmentation for Large Language Models. The story centres on Inference. 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.
Parallel Predictive World Models for Accurate and Efficient Long-Horizon Planning. 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.
Feature Information Dynamics in Diffusion. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Coding — the section covering text, image, audio and video generation — products and their output.
JEV versus LLMs: Accuracy, Cost and Calibration on Seven Political Science Replications. It centres on GPT, and also names OpenAI. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Large Language Model-Guided Discovery of Weight-Five Bivariate Bicycle Codes. 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. Open the original report for the full detail.
FREA: A Multi-Source Expert Benchmark for Reaction Feasibility Verification. 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.
Zero-shot Dependency Parsing with Unsupervised Cross-Lingual Bootstrapping. 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.
How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification. It centres on Benchmarks, and also names Nothing. Reported by arXiv. Bharat Hunt files it under AI Models and AI Hardware — 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.