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.
Ingestion is behind — last completed run was 16 hours ago.
News ingestion is temporarily unavailable.
The pipeline has not completed a run recently, so what is below may be behind. Nothing here is ever filled in with placeholder news.
146 stories
Anthropic VS code extension on Cursor backdoored for nearly 12 hours. It centres on Anthropic, and also names Cursor. Reported by Ars Technica. Bharat Hunt files it under AI Coding and AI Tools — the section covering code generation, developer agents, IDEs and software engineering.
Supercharge regulated workloads with Claude Code and Amazon Bedrock. It centres on Claude Code, and also names Amazon and Anthropic. Reported by AWS. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
New agent skill: Amazon SageMaker optimized generative AI inference for your coding agent. It centres on Amazon, and also names Inference and Claude Code. Reported by AWS. Bharat Hunt files it under AI Coding and Generative AI — the section covering code generation, developer agents, IDEs and software engineering.
Advancing coding in low‑resource programming languages. It centres on OpenAI, and also names GPT. Reported by OpenAI. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
CliffCompaction: Cost-Efficient Compaction for Long-Horizon Coding Agents. It centres on GPT, and also names Claude Code. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
SWE-Serve: Benchmarking Agentic Engineering For Production Inference Serving. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Agents — the section covering code generation, developer agents, IDEs and software engineering.
Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models. The story centres on Whisper. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
Expanding OpenAI Academy with new learning paths. The story centres on OpenAI. Reported by OpenAI. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
Metrics Failure in LLM-Based Code Vulnerability Repair: An Empirical Study and a Change-Aware Screen. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Research — the section covering code generation, developer agents, IDEs and software engineering.
How Ultrafast cut incident investigation from hours to minutes at OpenAI. The story centres on OpenAI. Reported by OpenAI. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
TraceVIC: Causal Reasoning over Code Evolution for Identifying Vulnerability-Inducing Commits. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
Parallel Language Models via Variational Decoding. It centres on Inference, and also names Benchmarks and 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.
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.