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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292 stories
Towards Detecting AI-Assisted Responses in Online Surveys. It centres on Benchmarks, and also names Replicate and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Agents — the section covering papers, benchmarks, evaluations, interpretability and safety results.
From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence. It centres on Microsoft, and also names GitHub Copilot and Benchmarks. Reported by Microsoft Research. Bharat Hunt files it under Enterprise AI and AI Coding — the section covering deployment inside businesses — platforms, adoption, cost, integration.
Capable Teacher, Myopic Scorer: Reward-Free Teacher Repair for Agentic On-Policy Distillation. It centres on Fine-tuning, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Regulation — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Stratified Sparse Attention: Reducing the Sparse-to-Dense Gap at Extreme Sparsity. It centres on Inference, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Coding — the section covering applications people use — assistants, editors, search, productivity.
Rethinking What to Cache in Few-Step Diffusion Transformers: Solver-Aware Target Selection. It centres on Flux, and also names GitHub. Reported by arXiv. Bharat Hunt files it under Generative AI — the section covering text, image, audio and video generation — products and their output.
Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Regulation — the section covering embodied AI, humanoids, autonomous vehicles and drones.
On the Token Collapse Phenomenon in Textual Graph Soft Prompting. It centres on Benchmarks, and also names AI Safety and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
OS-Helix: Unifying GUI Interaction and Code Execution in Native Computer-Using Agents. It centres on Multimodal, and also names GitHub Copilot and GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Tools — the section covering code generation, developer agents, IDEs and software engineering.
Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance. It centres on Fine-tuning, and also names AI Safety and GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Research — the section covering law, policy, courts, standards and government positions on AI.
Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Coding — the section covering text, image, audio and video generation — products and their output.
MIST: Multimodal Survival Prediction with Genomic-Guided Histology Attention. It centres on Multimodal, and also names AI Safety and 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.
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.