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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3337 stories
Linear Probes Transfer from Base to Distilled Language Models despite Rotation. It centres on Llama, and also names DeepSeek and Reasoning Models. 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.
CRIM: Composable and Reusable Item Memory for Efficient Personalized Retrieval. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
SPOOK: Sparse Pixel Optimization for Off-Manifold Knowledge in Vision Encoders. It centres on Multimodal, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Reading Between the Layers: Cross-Modal Alignment and Representational Hierarchy in Vision Transformers. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Beyond Causal Masks: Auditing and Localizing Hidden Future-Token Leakage in Adaptive Sequence Models. It centres on Benchmarks, and also names Perplexity. 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.
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.
NVIDIA Confidential Computing Expands, Enabling Frontier Model Builders to Securely Scale Across Global Infrastructure. The story centres on NVIDIA. Reported by NVIDIA. Bharat Hunt files it under AI Models and AI Hardware — the section covering a new or updated model, its capabilities, benchmarks or availability.
Stratified Sparse Attention: Reducing the Sparse-to-Dense Gap at Extreme Sparsity. It centres on Inference, 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.
Topology-Inspired Fine-Tuning for Wind-Field Super-Resolution. It centres on Fine-tuning, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Coding — the section covering applications people use — assistants, editors, search, productivity.
SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM Inference. It centres on Inference, and also names Llama 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.
AdaptLSTM: Efficient Adaptive Online Learning for Cloud Workload Forecasting under Distribution Drift. The story centres on Alibaba. 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
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.