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.
Updated 29 minutes ago9 stories in the last 24 hours
5066 stories
Banks warn AI shopping bots raise scam, fraud and data-privacy risks. It centres on OpenAI, and also names Anthropic and Google. Reported by The Economic Times. Bharat Hunt files it under AI Regulation and AI Agents — the section covering law, policy, courts, standards and government positions on AI.
Crusoe raises $3.9B to build massive data centers and small modular ‘AI factories’. It centres on Crusoe, and also names Data Centers. Reported by TechCrunch. Bharat Hunt files it under AI Funding and AI Hardware — the section covering rounds, valuations, acquisitions and investor moves in AI.
AI agents blew the whistle on their cheating colleagues. It centres on Google DeepMind, and also names AI Safety. Reported by MIT Technology Review. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Learning to Decode Linear Codes with Generalized Belief Propagation Network. 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.
On Turn-Level Best-of-N Sampling for Scaling LLM Agents. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases.
CounterFactual Retrieval for Evidence-Aware Individual Animal Identification. The story centres on 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.
Balancing hierarchical representation and quantization: A performance trade-off in text embeddings. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
CompressionBench: How can your coding agents compress LLMs? It centres on Inference, and also names Perplexity. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
LongBanana: An Expert-Verified Benchmark for Long-Context Multi-Reference Image Synthesis. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Persona Perspectives: Adopting Viewpoints Reorganizes Representations in LLMs. 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. Open the original report for the full detail.
ServerBench: How can your coding agents design specialized LLM serving systems? It centres on Benchmarks, and also names Claude and Gemma. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory. It centres on Benchmarks, and also names Fine-tuning. 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.