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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VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding. It centres on Multimodal, and also names GPT and Inference. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Closing the Consistency Gap: Self-Evolving Agents That Learn to Stay on Course. It centres on Benchmarks, and also names GPT. 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.
Every Clause Counts: Instruction-Following Reranking by Multiplying Small, Answerable Questions. It centres on Benchmarks, and also names GPT and Nothing. 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.
Configure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US). It centres on GPT, and also names Amazon and Inference. Reported by AWS. Bharat Hunt files it under AI Tools and AI Regulation — the section covering applications people use — assistants, editors, search, productivity.
RECAST: REconstruction of Chain-of-Thought via Auditable Structured Traces. It centres on Reasoning Models, and also names Claude and GPT. Reported by arXiv. Bharat Hunt files it under AI Models and AI Tools — the section covering a new or updated model, its capabilities, benchmarks or availability.
Agent World Model in the Wild: Computer-Use Agent Environment Synthesis. It centres on Model Context Protocol, and also names GPT and Qwen. 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.
AI video platform Clueso raises $10 Mn in Series A round led by Dharana Capital. It centres on Clueso, and also names Model Context Protocol and Claude. Reported by Entrackr. Bharat Hunt files it under AI Funding and AI Startups — the section covering rounds, valuations, acquisitions and investor moves in AI.
Comparison of techniques for fine-tuning open-weight models for entity extraction from radiology reports. It centres on Fine-tuning, and also names Gemma and GPT. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases.
FeatLens: Feature-Guided Dynamic Code Graph Construction and Retrieval for Repository-Level Code Generation. It centres on DeepSeek, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Research — the section covering code generation, developer agents, IDEs and software engineering.
PRISM-BN: A Controlled Corpus and Benchmark for Text-to-Parameterized Bayesian Network Extraction. It centres on Benchmarks, and also names AI Safety and GPT. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
DR Pixel: Page-Native Deep Research with Vision-Language Models. It centres on Multimodal, and also names Benchmarks and GPT. 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.
Evidence-Bound Reasoning: Neuro-Semantic Verification of Biomedical AI in Glioblastoma Radiogenomics. It centres on Benchmarks, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Models — 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.