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.
Updated 2 hours ago120 stories in the last 24 hours
59 stories
Retrofitting Code Using LLMs to Support Exceptional Behavior. It centres on Benchmarks, and also names GitHub and Qwen. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
SurveyGraph: Generating Academic Surveys via Methods-Entity Knowledge Graphs. It centres on Benchmarks, and also names Qwen and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Task Context Shapes Component Roles in Language Models. It centres on Gemma, and also names Qwen. Reported by arXiv. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge. It centres on Qwen, and also names Llama and Gemma. 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.
Every Ablation Is a Dose: Counterweights and the Semblance of Self-Repair. It centres on Gemma, and also names Qwen and Llama. 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.
A Lie Detector Test for Language Models: Reading Knowledge a Model Won't Reveal. It centres on Benchmarks, and also names Gemma and Qwen. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
WebHarbor: Docking Real Websites for Evolving GUI Agent Environments. It centres on Benchmarks, and also names Qwen and GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
From Routing Signals to Selective Review: Visual regrounding in MoE VLMs. It centres on Gemma, and also names Qwen. 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.
LLMs are General Asynchronous Agents. It centres on Inference, and also names Qwen. Reported by arXiv. Bharat Hunt files it under Robotics and AI Tools — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Computation Over Geometry: Meaning Identity Is Computed, Not Shipped in the Embeddings. It centres on RAG, and also names Mistral AI and Llama. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations. It centres on Qwen, and also names Benchmarks and Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
LeapQuant: Efficient Linear Attention with Accurate Recurrent State Quantization. It centres on Inference, and also names Qwen and NVIDIA. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
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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.