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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5193 stories
Every Part Has Its Role: Part-of-Speech Effects in LLM Post-Training. 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.
Broadband Mid-Wave Infrared Imaging Enabled by All-Silicon Hyperboloid Metalens. The story centres on Meta. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.
S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.
MemoryTax: The Bitter Lesson of Agent Memory. It centres on Claude Code, and also names GPT and Claude. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Analyzing Occupational Gender Bias across the LLM Training Lifecycle. It centres on Fine-tuning, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
MARS: Memory-Aware Routing for Session-Level LLM Assistants. The story centres on GPT. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.
SkillBrowser: Selective Skill Exposure for Scalable Skill-Using Agents. The story centres on Meta. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Tools — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Reason-guided Human Reward Modeling for Preference-based Reinforcement Learning. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Execution Before Memory: Diagnosing Memory Failures in Video World Models. 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.
Read, Parse, Describe: Unified Document Parsing with Visual Element Description Generation. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and Computer Vision — the section covering a new or updated model, its capabilities, benchmarks or availability.
Argument Graph Uncertainty: Quantifying Uncertainty from the Logical Structure of Reasoning Chains. The story centres on Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Anuvani-Diarization: Zero Shot Speaker Diarization and Annotation Conventions Across 22 Languages. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI in India and AI Research, and tracks it as India coverage — the section covering india's AI ecosystem — government programmes, institutions, national models.
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.