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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710 stories
LACE: Layer-Wise Compression for Dynamic Frame Rate Codecs. It centres on AI Safety, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Research and Computer Vision — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Domain-Specific Hallucination Detection in Large Language Models. It centres on Benchmarks, and also names Inference and Fine-tuning. 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.
The Surprising Effectiveness of Approximate Value Iteration in Self-Play. It centres on Benchmarks, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Tools — the section covering applications people use — assistants, editors, search, productivity.
Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks. It centres on Inference, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Models — the section covering text, image, audio and video generation — products and their output.
The BatchNorm Illusion: Diagnosing Normalization Artifacts in Machine Unlearning Evaluation. It centres on Benchmarks, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Failure Prediction and Classification in Vision-Language-Action Models Via Calibrated Latent Probing. It centres on Inference, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and Robotics — the section covering a new or updated model, its capabilities, benchmarks or availability.
NovoCRF: Globally Normalized De Novo Peptide Sequencing on a Prefix-Mass Lattice. Reported by arXiv. Bharat Hunt files it under AI Hardware and AI Models — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.
On the Fundamental Limits of Prefill-Based Decoding Length Prediction. It centres on Inference, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models. It centres on AI Safety, and also names Fine-tuning and Inference. 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.
ET Startup Awards 2026 | Govt backing and patient capital propel India's leap into AI and chips: Satyan Gajwani. Reported by The Economic Times. Bharat Hunt files it under AI Hardware and AI Startups, and tracks it as India coverage — the section covering chips, accelerators, data centres, on-device inference and supply.
Can Agent Harnesses and Inference Engines Hear Each Other? The HEAR Protocol for Agentic LLM Serving. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Prompt Minimization: Reducing Input Redundancy Without Sacrificing Output Fidelity. The story centres on Inference. 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.