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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5193 stories
The AI graveyard: a running list of projects and startups that didn’t make it. It centres on Apple, and also names OpenAI. Reported by TechCrunch. Bharat Hunt files it under AI Startups — the section covering company launches, pivots, hires and shutdowns at AI companies.
Polarity Classification with Multitask Learning Syntax Augmentation. 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.
Learning the Task or Learning the Verifier? Rethinking Criteria Exposure in Embodied Self-Improvement. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Robotics and AI Coding — the section covering embodied AI, humanoids, autonomous vehicles and drones.
Benchmarking Large Language Models on Heterogeneous Cognitive and Biomedical Knowledge Graphs: The Role of Graph Grounding in Multi-Hop Reasoning and Hallucination Mitigation. It centres on Benchmarks, and also names GPT and Gemini. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
LLM-Assisted Label Noise Correction for EEG-Based Sleep Stage Classification. It centres on Llama, and also names 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.
RM-VLM: From Natural-Language Task Descriptions to Vision-Grounded Reward Machines. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
Measured Coupling for Parallel Decoding in Diffusion Language Models. The story centres on Benchmarks. 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.
First-Token Attraction in Mamba Dynamics. The story centres on Falcon. 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.
AutoCompress: Automated Hardware-Guided Model Compression. It centres on Data Centers, and also names Benchmarks. 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.
A Generative Model of Contextual Integrity: Appropriate vs. Inappropriate Information Sharing. 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.
Multimodal-SEA: Benchmarking AI Agent Security under Multimodal Social Engineering Attacks. It centres on Multimodal, and also names Benchmarks. 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.
Task-Efficient Agent Evaluation Using Cached Traces. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Agents — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
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.