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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292 stories
TokenGate: Adapting LLMs for Fast and Memory-Efficient Prefill with Learned Token Pruning. It centres on Fine-tuning, and also names GitHub. 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.
Shortcut Learning in Geospatial Foundation Model Embeddings for Cross-Disaster Damage Assessment. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and AI Funding — the section covering a new or updated model, its capabilities, benchmarks or availability.
FastBench: Can Streaming VLMs Perceive High-Dynamic Real-World Streams? It centres on Benchmarks, and also names Gemini 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.
Paradee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice Text-to-Speech Model. It centres on AI Safety, and also names GitHub. 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.
DynaHarness: A Dynamic Physical Harness for Self-Evolving Robot Agents. The story centres on GitHub. 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.
Improving Test-Time Scaling with Adaptive Looped Transformers. It centres on Benchmarks, and also names GitHub. 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.
SANTA++: Sampling Attention through Representative Keys. It centres on RAG, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.
Pushing Dexterity and Safety for In-Hand Object Pose Reaching That Works Remarkably Well. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Research — the section covering embodied AI, humanoids, autonomous vehicles and drones.
GroundControl: Satellite-Conditioned Multi-View Diffusion for Reconstruction-Free Novel View Synthesis. The story centres on GitHub. 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.
One Word Opens the Gate: The Option-Channel Attack on Typed Decision Models as Agent Guardrails. It centres on Nothing, and also names GitHub. 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.
Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution. It centres on Nothing, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Funding — the section covering law, policy, courts, standards and government positions on AI.
SimForcing: Distilling Simulation Motion Priors into Real-Domain Robot World Models. It centres on Inference, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Models — the section covering embodied AI, humanoids, autonomous vehicles and drones.
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.