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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4967 stories
The Spoken Wikipedia Presentation Corpus. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Persona Perspectives: Adopting Viewpoints Reorganizes Representations in LLMs. 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. Open the original report for the full detail.
ServerBench: How can your coding agents design specialized LLM serving systems? It centres on Benchmarks, and also names Claude and Gemma. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Profiling a Frontier Agent with EBench: From Direct Control to Harness with Policy. It centres on Multimodal, and also names GPT and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and Robotics — the section covering a new or updated model, its capabilities, benchmarks or availability.
Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
Understanding Jev-Style System One Models: Does Structure Reduce Selection Bias? 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.
Pretraining Knows What, Simulation Teaches How: Compositional Generalization in a Sim-Trained Robot Agent. It centres on Fine-tuning, and also names GPT. Reported by arXiv. Bharat Hunt files it under Robotics and AI Models — the section covering embodied AI, humanoids, autonomous vehicles and drones.
The Missing Minimal Pair: Stereotype Evaluation in LLMs. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Coding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Reinforcement Learning with Conformal Action Sets: An Application to Sequential Recommendation. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Denoising Hierarchical Representations: Joint Continuous Diffusion for Language Modeling. It centres on Benchmarks, and also names Perplexity and GitHub. Reported by arXiv. Bharat Hunt files it under Generative AI — the section covering text, image, audio and video generation — products and their output.
EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning. The story centres on Reasoning Models. Reported by arXiv. Bharat Hunt files it under Robotics — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
AI Agents Are About to Flood the Workforce. No One’s Ready for It. Reported by WIRED. Bharat Hunt files it under AI Agents and Enterprise AI — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
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.