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 2 hours ago114 stories in the last 24 hours
4800 stories
Reading the Mood: Emotion-Guided Book-to-Music Recommendation via CGANs and LLMs. The story centres on Amazon. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
SelfSearch: Reward-Free Search for Self-Improving Agents. It centres on Benchmarks, and also names DeepSeek. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Research — the section covering applications people use — assistants, editors, search, productivity.
SANTA++: Sampling Attention through Representative Keys. It centres on RAG, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.
Can LLMs Value the Right Evidence? Evidence-Value Misalignment in Dynamic Medical Diagnosis. 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.
RIDE: Reference-Anchored Inference-Time Diffusion Editing for Scaffold Hopping. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under Generative AI — the section covering text, image, audio and video generation — products and their output.
From cacophony to hierarchy: a principled framework for assessing AI consciousness. 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.
Greedy Decoding Is Not Precision-Invariant: Cross-Precision Output Divergence in LLM Inference. It centres on Inference, 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.
Scaling Parameter-Efficient Fine-Tuning for Brain Encoding. It centres on Fine-tuning, and also names Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
“We were looking at it wrong”: The explosive claim that’s upended the AI world. Reported by MIT Technology Review. Bharat Hunt files it under AI Startups — the section covering company launches, pivots, hires and shutdowns at AI companies.
Learning to Refer: Inference-Time Collaboration in Decentralized Federated Learning. It centres on Inference, 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.
WhatIf-Bench: Benchmarking Intervention-Aware Time Series Forecasting. It centres on Benchmarks, and also names Data Centers. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Coupled but Late: Turn-Taking Between Full-Duplex Speech Models in Unscripted Dialogue. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — 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.