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 2 hours ago8 stories in the last 24 hours
3255 stories
Kinks vs. Smoothness: Identifiability of Real Analytic nICA for Laplace-like Sources. 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.
RegKT: Interpretable and Robust Deep Knowledge Tracing With IRT-Regularizer. 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.
On the Impact of Anonymization on the Performance of Large Language Models. It centres on Benchmarks, and also names GPT and Reliance Jio. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
‘Gambling with our lives’: Anthropic researcher quits, warns against self-improving AI. The story centres on Anthropic. TechCrunch and politico.eu have both covered it. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Funding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Evaluating and Improving Evidence-Grounded Fact-Checking in LLMs via Multi-Round Evidence Ablation. 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.
OntoKG-EQ: A provenance-grounded, competency-question-governed knowledge graph for auditable analyst querying. 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.
The Rater Ising-Potts Model with LLM-Derived Weights: An Application to Multi-Category Scoring Reliability. 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.
Knowing When to Intervene: Causal Evaluation of AI Agents. It centres on Benchmarks, and also names Inference. 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.
Know What You Need: Efficient Activation Checkpointing. It centres on Llama, and also names Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Nowcasting of Tropical Cyclone Wind Fields and Intensity from Geostationary Imagery. 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.
Series-wise Cross-validation for Global Time Series Forecasting. 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.
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
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.