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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What the Author Wrote, What the Agent Reads: Silent Cue Loss in Enterprise Document Ingestion. It centres on Claude, and also names OpenAI and GPT. Reported by arXiv. Bharat Hunt files it under Enterprise AI and AI Models — the section covering deployment inside businesses — platforms, adoption, cost, integration.
TIDE: Tree-Induced Fine-Grained Diagnostic Evaluation from Model Behaviors. It centres on Benchmarks, and also names Claude and GPT. 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.
Evolving with Open Worlds: Towards Recursive Self-Improvement for Future 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.
Don't Skip the Baseline: A Controlled Comparison of Dynamic Expert Skipping in MoEs. It centres on Inference, and also names Benchmarks and Multimodal. 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.
Doubly Robust Learning of Heterogeneous Survival Treatment Effects under Time-Varying Treatments. 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.
Concerns in Benchmarking Jailbreaks: An Empirical Study of Attack Success Rates. It centres on Benchmarks, and also names Ollama. Reported by arXiv. Bharat Hunt files it under AI Research and Open Source AI — the section covering papers, benchmarks, evaluations, interpretability and safety results.
An Efficient Approach to Beetle Damage Detection of Banana Using Deep Learning. It centres on Inference, and also names NVIDIA and Tesla. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Manacá-1B-Instruct-2: Reproducible Safety Alignment for a Native Brazilian-Portuguese LLM. Negative DPO Results, a Controlled Composition Scan, and a Silent Failure Mode of the LLM Judge. It centres on AI Safety, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models.
LLM4Impact: Integrating Heterogeneous Information for Scientific Impact Prediction. 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. Open the original report for the full detail.
How Sparse Probability Maps Shape Mixture-of-Experts Routing. The story centres on 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.
Accelerated Algorithm for Sparse Regularized Partial Optimal Transport. 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. Open the original report for the full detail.
BrainWideBench: Benchmarking large-scale pretraining and across-animal transfer in multi-region neural recordings. It centres on Benchmarks, and also names Fine-tuning and AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research — 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
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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.