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 4 minutes ago·147 stories in the last 24 hours
ToolSpace: Scaling Tool-Centric Environment Synthesis for Long-Horizon Agents. It centres on Model Context Protocol, and also names Benchmarks and Claude. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Agents — the section covering applications people use — assistants, editors, search, productivity.
Where Is the Truth When AI Agents Disagree? Dependence-Aware Belief Propagation for Unsupervised Truth Discovery (Extended Version). It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Models — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
ASTOR: Benchmarking and Improving Autoformulation for Soft-Constraint Optimization with a Formal Grammar. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Agents — the section covering papers, benchmarks, evaluations, interpretability and safety results.
ECG-SDI: Single-lead Electrocardiogram Enables Continuous Sleep Depth Index Profiling and Scalable Digital Biomarkers for Sleep Health. 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.
Hindsight-Guided Rationale Distillation for Rare Disease Diagnosis. It centres on Reasoning Models, and also names Inference. 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.
Image Classifiers are Efficient Self-Supervised Video Representation Learners. 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.
Learning Skills from Historical Action Trajectories: Action Experience Dictionary for World Action Models. It centres on Reliance Jio, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
OpenAI scraps planned October launch of GPT-6.1 Astra over safety concerns. The story centres on OpenAI. 3 sources have covered it so far, including The Indian Express, The Economic Times and wsj.com. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.
G$^2$PTQ: Improving LLM Post-Training Quantization with Generalized Gradient Compensation. It centres on AI Safety, and also names GitHub. 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.
GHOST-Q: Towards Studying Grounding Hallucinations Overlooked Under Same-score TradeOffs in Quantized VLMS. It centres on Benchmarks, and also names Inference. Reported by arXiv. Bharat Hunt files it under Enterprise AI — the section covering deployment inside businesses — platforms, adoption, cost, integration.
EquivSVA: A Formally Verified Dataset of Behavioral Assertions Across Equivalent RTL Implementations. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Metrics Failure in LLM-Based Code Vulnerability Repair: An Empirical Study and a Change-Aware Screen. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Research — the section covering code generation, developer agents, IDEs and software engineering.
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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.