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.
Updated 1 hour ago120 stories in the last 24 hours
40 stories
PresenceBench: An Exploratory Evaluation of Large Language Model Adaptation to User State. It centres on Benchmarks, and also names Claude and DeepSeek. 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.
Do Language Models Trust Their Own Justifications? A Study on Functional Consistency. It centres on Benchmarks, and also names GPT and DeepSeek. 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.
Nvidia-backed Reflection unveils first AI model to take on Chinese open models. The story centres on NVIDIA. The Economic Times and The Indian Express have both covered it. Bharat Hunt files it under AI Models and AI Hardware — the section covering a new or updated model, its capabilities, benchmarks or availability.
China's DeepSeek, MiniMax win approval for AI global use, state media-affiliated entity says. The story centres on DeepSeek. Reported by The Economic Times. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
HarnessMM: Recursive Self-Improvement for Harness Token Efficiency. The story centres on DeepSeek. Reported by arXiv. Bharat Hunt files it under Enterprise AI and AI Tools — the section covering deployment inside businesses — platforms, adoption, cost, integration. Open the original report for the full detail.
EngramEdit: Decoupled Knowledge Updates in LLMs through Conditional Memory. It centres on DeepSeek, and also names Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Low-Bit N-Gram Embeddings for Language Models. It centres on DeepSeek, and also names Llama and GPT. 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.
From Unreliable to Usable: Decomposing Failure Modes and Confidence Signals in LLM Entity Extraction. It centres on Benchmarks, and also names DeepSeek and GPT. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Evaluating DeepSeek V4.1 Flash-1017 for loss of control and harmful manipulation risks. It centres on DeepSeek, and also names Benchmarks and GPT. 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.
Evaluating Sycophancy in Chinese Large Language Models on Factual Questions Derived from Online Search Queries. It centres on DeepSeek, and also names Qwen and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
SEMA-Auto: Sighted and Efficient Multi-Turn Attack with Autonomy. It centres on Fine-tuning, and also names DeepSeek and GPT. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
QuSema: Detecting Silent Bugs in Quantum Libraries via Quantum-knowledge-enhanced Agents. It centres on Benchmarks, and also names Claude Code and DeepSeek. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Coding — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
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Stories in the last 24 hours, against the 24 before it. A change is shown only where the earlier window had enough coverage to compare against.
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.