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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387 stories
DataVista: Diagnosing Multimodal LLMs on Data Video Understanding. It centres on Multimodal, and also names Benchmarks and Gemini. 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.
LEAP: Learned Block-wise Evidence Retrieval for Long Audio-Video Perception. It centres on Inference, 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.
OPSRD: On-Policy Self-Role Distillation. It centres on Benchmarks, and also names Inference and GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Models — the section covering law, policy, courts, standards and government positions on AI.
Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM. It centres on Amazon, and also names vLLM and OpenAI. Reported by AWS. Bharat Hunt files it under Open Source AI and AI Tools — the section covering open-weight models, permissive licences and community releases.
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.
Watermark Basins: Black-Box Detection of Distilled LLMs. It centres on Fine-tuning, and also names AI Safety. 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.
Natural Language Autoencoders Identify Without Explaining. It centres on Reasoning Models, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Tools — the section covering papers, benchmarks, evaluations, interpretability and safety results.
LongZero: Enhancing Long-Context Reasoning in LLMs from Zero Data. 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.
Mitigating Reward Hacking in Preference Reward Models with Evolving Penalties. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Funding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Perceive, Solve, Reason: Progressive Capability Formation in Time Series-LLMs. It centres on Benchmarks, and also names 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.
Player-1: Learning to Play from Synthetic Experience. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Bayesian Test-Time Inference of Task-Aligned Similarity from Weak Interactive Feedback. 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.
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
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.