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 1 hour ago138 stories in the last 24 hours
5345 stories
Anthropic IPO by the numbers, from a possible valuation in the trillions to surging revenue. It centres on Anthropic, and also names OpenAI. Reported by The Economic Times. Bharat Hunt files it under AI Funding — the section covering rounds, valuations, acquisitions and investor moves in AI.
Kevin Roose is AGI-pilled. Why aren’t you? The story centres on AGI. Reported by The Verge. 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.
PHYRD: A Living Benchmark for Reproducing and Extending Theoretical Physics Research. It centres on Benchmarks, and also names OpenAI and Qwen. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Pseudo-Labels as Rewards, Not Targets: Group-Relative Policy Optimization for Semi-Supervised ASR. It centres on Fine-tuning, and also names Whisper. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI.
Predicting Music Valence and Arousal via Textual and Multimodal In-Context Learning in Large Language Models. It centres on Multimodal, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Investigating Multi-Cultural Value Selection Biases 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.
When More Metadata Misleads: Probing Field-Level Grounding in LLM-Generated Museum Descriptions. The story centres on Benchmarks. 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.
Prompting Strategy Effects Depend on the Judge: A Multilingual Study of LLM-as-a-Judge Robustness. It centres on Benchmarks, and also names Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Beyond Watching and Searching: Benchmarking Agents for Video-centered Deep Research Reports. It centres on Benchmarks, and also names Multimodal and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Conflicted Records: Typed Adversarial Contracts for Auditable LLM Output Quality Enforcement. The story centres on Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
SPARE: Sparsity Allocation via Routing Entropy for Efficient MoEs. It centres on Mistral, and also names DeepSeek. Reported by arXiv. Bharat Hunt files it under AI Models and AI Funding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Effects of Model Scale and Quantization on Social Bias and Abstention in Question Answering. It centres on Benchmarks, and also names Gemma. 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.
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
Stories in the last 24 hours, against the 24 before it. A change is shown only where the earlier window had enough coverage to compare against.
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.