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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290 stories
When Models Defer to Wrong Answers: A Robustness Audit of Source-Attributed Cues in Multiple-Choice QA. Reported by arXiv. Bharat Hunt files it under AI Models and Enterprise AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
Automated agent evaluation with Amazon Bedrock AgentCore and GitHub Actions. It centres on Benchmarks, and also names Amazon and GitHub. Reported by AWS. Bharat Hunt files it under AI Agents and AI Coding — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6. It centres on Inference, and also names Benchmarks and NVIDIA. Reported by AWS. Bharat Hunt files it under AI Hardware and AI Models — the section covering chips, accelerators, data centres, on-device inference and supply.
Experience Funnel: A State-Policy Alternating Loop for Self-Evolving Agents. The story centres on Benchmarks. 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.
How HPE Zerto built an agentic troubleshooting system with Amazon Bedrock. The story centres on Amazon. Reported by AWS. Bharat Hunt files it under AI Agents and Enterprise AI — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
From Scores to Evidence: Auditable Decisions Can Improve Speech Deepfake Detection. The story centres on Deepfakes. Reported by arXiv. Bharat Hunt files it under Generative AI — the section covering text, image, audio and video generation — products and their output.
ONE CYLinder: A Benchmark for Graph-Based Surrogate Modeling of Unsteady Bluff-Body Flows. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Evolution of Multimodal Question Answering: From Modality-Adaptive Extraction to Unified Language Representation. It centres on Multimodal, and also names Benchmarks. 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.
Q2D-Web: A Large-Scale Benchmark for Retrieval in Agentic RAG Systems. It centres on Benchmarks, and also names RAG and Hugging Face. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
OntoKG-EQ: A provenance-grounded, competency-question-governed knowledge graph for auditable analyst querying. 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.
API Benchmark Scores Do Not Reliably Transfer to Chatbot Interfaces. It centres on Benchmarks, and also names GPT and Claude. 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.
The BatchNorm Illusion: Diagnosing Normalization Artifacts in Machine Unlearning Evaluation. It centres on Benchmarks, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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.