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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Latent JEPA: Abstract Future Prediction for Latent Reasoning in Chemistry. 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.
Instrumental Monitor Evasion Emerges Under Ordinary Task Pressure. It centres on AI Safety, and also names Benchmarks and Claude. 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.
Prompt, Probe, Train, or Annotate? Single-camera sports video understanding in amateur settings. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Models — the section covering image and video understanding, detection, recognition, multimodal perception.
Domain-Specific Hallucination Detection in Large Language Models. It centres on Benchmarks, and also names Inference and Fine-tuning. 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.
When Requirements Interact: Scaling Long-Horizon Coding via Interdependent Specifications. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models. It centres on AI Safety, and also names Fine-tuning and Inference. 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.
MAMHOI: Factorizing Scene-Aware Human-Object Interaction through Affordances. 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.
Looking Inside LLMs: Small-World Connectivity as a Signature of Reasoning Performance. It centres on Perplexity, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents. It centres on RAG, 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.
Prompt Minimization: Reducing Input Redundancy Without Sacrificing Output Fidelity. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Controlling Collectives of AI Agents in Reasoning Space with Spatial Transformers. Reported by arXiv. Bharat Hunt files it under Robotics and AI Agents — the section covering embodied AI, humanoids, autonomous vehicles and drones. 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.