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.
Ingestion is behind — last completed run was 14 hours ago.
News ingestion is temporarily unavailable.
The pipeline has not completed a run recently, so what is below may be behind. Nothing here is ever filled in with placeholder news.
4967 stories
Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition. 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. Open the original report for the full detail.
Cache Engineering for Agents. It centres on Benchmarks, 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. Open the original report for the full detail.
Evolving Semantic Indexes for Generative Retrieval. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Research — the section covering open-weight models, permissive licences and community releases. Open the original report for the full detail.
OptScientist: Automated Discovery of Optimization Laws. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Models — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Developers can now access SageMaker Studio through the new AWS experience. It centres on Amazon, and also names Apple and GitHub. Reported by AWS. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
Safety Mid-Training: Internalizing LLM Safety as a Foundational Capability. The story centres on 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.
SolBehave: Evaluating the Behavioural Correctness of LLM-Generated Smart Contracts. It centres on Benchmarks, and also names Gemma. 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.
Disrupting AI-enabled “false front” operations. The story centres on OpenAI. Reported by OpenAI. 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.
Flash-dLLM: IO-Aware KV Caching and Parallel Decoding for Fast, Memory-Efficient Diffusion LLMs. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Hardware — the section covering text, image, audio and video generation — products and their output.
A Framework for Context Enrichment and Selective Robustness in LLM Social Agents. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
BEAKER: An Expert-Curated Benchmark for Embodied Brains in Self-Driving Chemical Laboratories. It centres on Benchmarks, and also names Multimodal. Reported by arXiv. Bharat Hunt files it under Robotics and AI Models — the section covering embodied AI, humanoids, autonomous vehicles and drones.
FrontierPhysics: Evaluating Agents for End-to-End Physics Research. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Agents — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
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.