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 34 minutes ago123 stories in the last 24 hours
68 stories
GAGR-Lab: Evaluating Joint Spatial-Geometric and Analytic Function Reasoning. The story centres on Llama. 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.
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.
Rounding in Preconditioner Space: Redesigning 4-bit AdamW Optimizer-State Quantization. It centres on GPT, and also names Llama and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Principled Under Pressure: Post-Training Decides Whether LLMs Act on Their Own Moral Judgment. It centres on Meta, and also names Llama and Nothing. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Computation Over Geometry: Meaning Identity Is Computed, Not Shipped in the Embeddings. It centres on RAG, and also names Mistral AI and Llama. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
EMO: A Closed-Loop Test-Time Computation Framework via Alternating Context Optimization and Logits Steering. It centres on Benchmarks, and also names Llama. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Heads of Security: Learned Attention Gates Improve Prompt Injection Robustness. It centres on Llama, and also names GPT and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models and AI Agents — the section covering a new or updated model, its capabilities, benchmarks or availability.
Deep LLM layers expose passage-level context in EEG during silent reading. The story centres on Llama. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Stale-Document Poisoning: When Outdated Retrieval Overrides Correct Model Answers. It centres on RAG, and also names AI Safety and Benchmarks. 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.
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.
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.
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.