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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1352 stories
JuryFlow: Disagreement-Guided Human-in-the-Loop Multi-Agent Evaluation. The story centres on Benchmarks. 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.
ReproBridge: Building Reproducibility into ML Research Artifacts. Reported by arXiv. Bharat Hunt files it under AI Research and AI Coding — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Personas Are Not People: Identity as State, Not Attribute. 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.
Building ultra-low-latency voice AI applications on AWS. The story centres on Amazon. Reported by AWS. Bharat Hunt files it under AI Hardware and AI Models — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.
Tracing the Scientific Discovery Capacity of LLMs to Their Training Data. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases. Open the original report for the full detail.
Online Class Posteriors for Interpretable and Controllable Discrete Diffusion. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Models — the section covering text, image, audio and video generation — products and their output. Open the original report for the full detail.
Less Loss, Fixed Weights: Logit Corrections for Forgetting. The story centres on Nothing. 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.
A Unified Hessian-Guided Framework for Post-Training Quantization. Reported by arXiv. Bharat Hunt files it under Enterprise AI — the section covering deployment inside businesses — platforms, adoption, cost, integration. Open the original report for the full detail.
PlayerEmbed: Learning Behavioral Fingerprint Representations from Raw Input Sequences. 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.
Retiming Robot Demonstrations with a Learned Speed Prior. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under Robotics and AI Regulation — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Simulated Control Evals. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Enterprise AI and AI Tools — the section covering deployment inside businesses — platforms, adoption, cost, integration. Open the original report for the full detail.
Multi-Token Prediction and Alternative Tokenization Improve Learning Latent Multi-Hop Graph Search at Scale. 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.