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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Forty Questions: Identifying a Language Model from One-Word Answers. It centres on Gemma, and also names Llama and Grok. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Task Context Shapes Component Roles in Language Models. It centres on Gemma, and also names Qwen. 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 Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge. It centres on Qwen, and also names Llama and Gemma. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.
CRoS: Causality Reward on Scrambled CoTs Improves Accuracy and Reasoning Faithfulness. The story centres on Gemma. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Every Ablation Is a Dose: Counterweights and the Semblance of Self-Repair. It centres on Gemma, and also names Qwen and Llama. 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.
A Lie Detector Test for Language Models: Reading Knowledge a Model Won't Reveal. It centres on Benchmarks, and also names Gemma and Qwen. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
From Routing Signals to Selective Review: Visual regrounding in MoE VLMs. It centres on Gemma, and also names Qwen. Reported by arXiv. Bharat Hunt files it under AI Models and Computer Vision — the section covering a new or updated model, its capabilities, benchmarks or availability.
The Geometry of Emotion Representations Across Scale, Depth, and Instruction Tuning. It centres on Google, and also names Gemma and Claude. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
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.
Task-Preserving Multilingual Instruction Tuning for Open-Ended QA in WMT 2026 MIST. It centres on Gemma, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Benchmarking Large Language Models for Detecting Satirical Code-Mixed Sentences. It centres on Reasoning Models, and also names Fine-tuning and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding — 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.
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.