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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32 stories
When to Assist and What to Suggest: Joint Gating and Memory-Grounded Hint Generation in One Compact Decoder. It centres on Nothing, 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.
COMPLEX: A Closed-Form Certified Embedding of Multiparameter Persistence Modules. It centres on Nothing, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Less Loss, Fixed Weights: Logit Corrections for Forgetting. The story centres on Nothing. 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.
Hierarchical Continuous Diffusion Language Models. It centres on Nothing, and also names Perplexity and 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.
SCARL: Sequence Confidence-Aligned Reinforcement Learning. It centres on Nothing, and also names AI Safety and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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.
JevAdvBench: A Benchmark and Black-Box Attacks for Reinforcement Learning for Calibrated Decisions Models. It centres on Benchmarks, and also names Nothing and 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.
A Spectral Theory of Distortion in LLM Graph Reconstruction: Sharp Bounds and Empirical Characterization. The story centres on Nothing. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Regulation — the section covering open-weight models, permissive licences and community releases.
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.
Equal CER, Unequal Damage: Severity-Weighted Character Error Rate for OCR. It centres on AI Safety, and also names Nothing and GitHub. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Research — the section covering image and video understanding, detection, recognition, multimodal perception.
Telescopic Language Models. It centres on Nothing, and also names Inference and Perplexity. 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.
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.