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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Beyond Attack Success Rate: Cost-Aware Metric for Evaluating Iterative LLM Jailbreaks. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Anthropic can’t reliably control its AI agents. It’s cutting off its internal evals from the live internet instead. The story centres on Anthropic. TechCrunch and The Verge have both covered it. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early Stopping. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
External Observers May See More Clearly: Cross-Model Span-Level Hallucination Detection in Large Language Models via Hidden State Probing. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Semifactual Credit-Augmented Policy Optimization. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Models — the section covering law, policy, courts, standards and government positions on AI.
MS-GLA: Multi-Scale Gated Linear Attention for Addressing Representational Bottlenecks via Multi-Temporal Resolution. It centres on Perplexity, 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.
From Alignment to Access Control: A Framework for GenAI Policy Enforcement. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Exponential Hardness of Off-Policy Evaluation under History-Dependent Logging. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Google DeepMind cofounder Demis Hassabis backs Anthropic boss Dario Amodei's calls for AI slowdown. It centres on Google DeepMind, and also names Demis Hassabis and Anthropic. Reported by The Economic Times. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
RetroThinker: Enabling Retrospective Thinking in Speech LLMs. It centres on Reasoning Models, and also names Inference and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Pathway’s brain-inspired architecture development on Amazon SageMaker HyperPod. It centres on Amazon, and also names Reasoning Models and AGI. Reported by AWS. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation Fails. It centres on Fine-tuning, and also names Gemma and Meta. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — 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
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.