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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LCT: Losslessly Compressed Tensors with GPU friendly execution for Training. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Hardware and AI Coding — the section covering chips, accelerators, data centres, on-device inference and supply.
REKI: Registering Knowledge in VLAs. It centres on Inference, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Coding — the section covering embodied AI, humanoids, autonomous vehicles and drones.
The importance of tensor handling and implementation of physics-informed DeepONets. The story centres on NVIDIA. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Specification Gaming and a Constrained Reinforcement Learning Mitigation in a Cleaning Gridworld. Reported by arXiv. Bharat Hunt files it under Robotics and AI Regulation — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Average-Reward Policy Identification from a Single Continuing Trajectory. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Research — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
AI agent firm Instinct raises $1 billion in latest funding round. It centres on Instinct, and also names Benchmarks. Reported by The Economic Times. Bharat Hunt files it under AI Funding and AI Agents, and tracks it as India coverage — the section covering rounds, valuations, acquisitions and investor moves in AI.
The Alignment Illusion in Multimodal Large Language Models. It centres on AI Safety, and also names Multimodal. 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.
Beyond Compression: Training Latent Representations for Stable Long-Horizon Rollout in Neural Surrogate Solvers. It centres on Fine-tuning, 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.
Omni Demand Understanding: A Benchmark for Contextual User-Intent Inference in Multimodal Interaction. It centres on Benchmarks, and also names Inference and Multimodal. 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.
Transforming Integer Grids to Spatial Intuition: Perception, Not Planning, Governs ARC-AGI-3. It centres on AGI, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Funding — the section covering open-weight models, permissive licences and community releases.
Ranking Agreement Does Not Reveal Paragraph-Edit Agreement in Two Released Paper Acceptance Predictors. The story centres on Two. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution. It centres on Reasoning Models, and also names AI Safety and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and Robotics — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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.