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.
Updated 58 minutes ago143 stories in the last 24 hours
5345 stories
RECAST: REconstruction of Chain-of-Thought via Auditable Structured Traces. It centres on Reasoning Models, and also names Claude and GPT. Reported by arXiv. Bharat Hunt files it under AI Models and AI Tools — the section covering a new or updated model, its capabilities, benchmarks or availability.
Backpropagation-free Deep Learning for Time-Series Classification. It centres on AI Safety, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and Generative AI — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Accurate and Auditable ECG Classification via Visibility Graph Neural Networks. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
Whose Values, Which Contexts, and What Signals? Grounding Cultural Value Alignment with Re3Culture. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Peeling the Matryoshka: Extracting Ontological Structure from Retrieval Embeddings. It centres on AI Safety, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Stepwise-Querying: Distilling Reasoning without Access to Teacher Chain-of-Thought. It centres on Reasoning Models, and also names Fine-tuning and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
Mobilizing the Archive: Bitext Extraction at Scale from Archival Documents for Extremely Low-resource Languages. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Models — the section covering image and video understanding, detection, recognition, multimodal perception.
EpiAgent: Epistemic Self-Play for LLM Agents. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
Towards Full-Text Scholarly Argument Mining using Entity-Anchored Claim Extraction. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
UCVE: Graph Structured Retrieval for Compliance Validation. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
Multi-Label Agreement: A Flexible Framework for Inter-Annotator Reliability. 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.
Anthropic's Claude accessed Georgia state vote count information behind paywall. It centres on Anthropic, and also names Claude. Reported by The Economic Times. Bharat Hunt files it under AI Models — 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.