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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3337 stories
Profile-Driven User Simulation via Reinforcement Learning with Hierarchical Rewards for Task-Oriented Dialogues. It centres on RAG, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Regulation and Enterprise AI — the section covering law, policy, courts, standards and government positions on AI.
Cycle-of-Thought: Self-Evaluative Iterative Reasoning for Table Visual Question Answering in Document Images. It centres on Fine-tuning, and also names Inference and Benchmarks. 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.
Every Alarm Has a Cause: An Open Generator of Telecom Alarm Storms with Exact Root Causes, Bound to NORIA-O, RFC 8632 and TMF642. It centres on Benchmarks, and also names Nothing. Reported by arXiv. Bharat Hunt files it under AI Funding — the section covering rounds, valuations, acquisitions and investor moves in AI.
Decomposing and Predicting Annotation Disagreement in Harmful Content Across Languages. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Open Source AI — the section covering open-weight models, permissive licences and community releases. Open the original report for the full detail.
From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security Incidents. It centres on OpenAI, and also names Anthropic and Google. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution. The story centres on Benchmarks. 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.
SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic Routing. It centres on Fine-tuning, and also names Inference and 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.
Aligning Multimodal Patient Evidence with Biomedical Knowledge Graphs for Clinical LLMs. It centres on Multimodal, 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.
Stochastic Rounding in Low-Precision Transformer Inference: A Variable-Precision Emulation Study of a Small GPT-2. It centres on Inference, and also names GPT and Perplexity. 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.
Can LLMs Reliably Annotate Bioassay Metadata to Improve Data Readiness? The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Open Source AI — the section covering open-weight models, permissive licences and community releases. Open the original report for the full detail.
doPlan: A Variable-Horizon Dataset for Multi-Stage Language-Conditioned Planning in Autonomous Driving. It centres on GitHub, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Coding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Verifiable Visual Rewards Transfer from Synthetic Scenes to Natural Prompts. It centres on GPT, and also names Stable Diffusion and Benchmarks. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Models — the section covering text, image, audio and video generation — products and their output.
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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.