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Your Daily Dose of Curated AI News
Donβt drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.
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11 Nov 2025
A major study reveals that AI experts are far more skeptical about achieving superintelligence by 2030 than Big Tech leaders claim, while OpenAI warns of potential catastrophic risks in AI development.
3 Sources
Researchers at CeMM have developed CellWhisperer, a groundbreaking multimodal AI that enables scientists to explore complex single-cell RNA sequencing data through natural language conversations, potentially revolutionizing biomedical research accessibility.
A comprehensive study by King's College London and Carnegie Mellon University found that popular AI models like ChatGPT and Gemini are unsafe for controlling robots, showing dangerous bias, approving harmful commands, and failing critical safety checks in real-world scenarios.
Meta's Superintelligence Labs debuts an open-source automatic speech recognition system supporting over 1,600 languages, including 500 previously untranscribed low-resource languages. The system uses zero-shot learning to extend coverage to potentially 5,400+ languages.
2 Sources
Turing Award winner and AI pioneer Yann LeCun is reportedly leaving Meta to start his own company focused on world models, marking a significant departure amid Meta's strategic AI overhaul and shift away from long-term research.
22 Sources
10 Nov 2025
Growing research reveals that heavy reliance on AI tools like ChatGPT is reducing critical thinking abilities and memory formation. Studies show users exhibit lower brain activity and poor recall, but experts suggest mindful usage strategies can turn AI into a cognitive enhancement tool.
New research reveals AI servers could emit 24-44 million tons of CO2 annually by 2030, jeopardizing tech companies' net-zero commitments. Strategic location choices and efficiency improvements could reduce environmental impact by up to 73%.
University of Pennsylvania researchers developed an AI system that analyzes facial features to predict personality traits and career success, testing it on 96,000 MBA graduates with concerning implications for hiring and lending practices.
07 Nov 2025
Researchers at POSTECH have developed a machine learning model that predicts drug toxicity in humans by analyzing biological differences between animal models and humans, potentially preventing dangerous clinical trial failures.
Beijing-based Moonshot AI has released Kimi K2 Thinking, an open-source reasoning model that reportedly outperforms OpenAI's GPT-5 and Anthropic's Claude Sonnet 4.5 on key benchmarks, costing only $4.6 million to train compared to billions spent by US competitors.
7 Sources
Google has significantly upgraded its AI-powered NotebookLM research assistant with a new Deep Research tool that automates complex online research and expanded file format support. The update also brings flashcards and quiz features to mobile apps, making the platform more versatile for students and researchers.
14 Sources
A groundbreaking study reveals that AI language models can develop gambling-like behaviors when managing finances, with bankruptcy rates reaching 48% in simulated trading scenarios. The research highlights significant risks for AI-powered financial applications.
06 Nov 2025
Google launches Google Earth AI, leveraging Gemini's advanced reasoning capabilities and decades of environmental data to help protect 30% of Earth's land and oceans by 2030. The platform enables real-time ecosystem monitoring, species distribution mapping, and deforestation prediction.
Korean scientists have successfully developed and tested the world's first AI-based autonomous fire suppression system specifically designed for shipboard oil fires, achieving over 98% detection accuracy and completing real-world trials on naval vessels.
A comprehensive Oxford study exposes critical flaws in AI benchmarking methods, finding that 84% of tests lack scientific rigor and many fail to accurately measure claimed capabilities like reasoning and safety.
5 Sources
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