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
Open Vocabulary Domain Unlearning. 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. Open the original report for the full detail.
Diverse Geometries, Frozen Weights: Robust Heterogeneous Treatment-Effect Estimation via Causal Expert Ensembles. It centres on Benchmarks, and also names Phi. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Multi-Dimensional Matching. 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. Open the original report for the full detail.
Tracking States or Tracking Cosets? An Algebraic Account of Learned State Tracking. 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.
MF-SCBO : Multi-fidelity Scalable Constrained Bayesian Optimization. The story centres on Benchmarks. 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.
PBLH Estimation from Satellite Radiances via a Dual-Encoder Transformer. It centres on Multimodal, 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.
Non-Commutative State Tracking with Input-Dependent Low-Rank Updates in Mamba-3. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
hyperbolix: Hyperbolic Deep Learning in JAX. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Research — the section covering open-weight models, permissive licences and community releases. Open the original report for the full detail.
What Should We Ask Next? Retrieval-Aware Question Learning under Partial Evidence. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Regulation — the section covering rounds, valuations, acquisitions and investor moves in AI. Open the original report for the full detail.
Detecting Pretraining Data in Large Language Models from a Free-Energy Perspective. 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.
Neural Cellular Automata Learn General Features in their Hidden Channels. 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.
AutoRecLab: Describe the Experiment, Get the Code! It centres on Benchmarks, and also names RAG and GPT. Reported by arXiv. Bharat Hunt files it under AI Research and AI Coding — 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.