When asked how they reach decisions, advanced AI systems write elaborate explanations—but new research reveals these justifications are often fabricated, raising critical questions about current safety measures.
Notion doubles its business pricing as it rolls out AI features across its platform. The $30 monthly fee now includes meeting transcription and enterprise search - a move that could reshape how companies handle their growing stack of AI subscriptions.
A shift in US export policy could soon give Gulf states access to coveted AI chips, potentially redrawing the global artificial intelligence landscape. The move raises questions about technology transfer risks and regional stability as Middle Eastern nations vie for AI dominance.
This system can match Google's search capabilities without ever touching a search engine - and it's doing it at just 12% of the cost. Alibaba's researchers have rethought how AI systems find information, potentially reshaping the economics of artificial intelligence.
According to a new research paper from Tongyi Lab and Alibaba Group, researchers have developed ZEROSEARCH - a system that trains AI language models to search effectively without accessing real search engines.
The innovation cuts search costs dramatically. While Google searches cost about $587 for 64,000 queries during training, ZEROSEARCH costs just $71 using high-end GPUs.
The system works by having one AI model simulate a search engine while training another to use it. In tests, their 7B parameter model matched Google's performance, while their 14B parameter version worked even better than Google Search.
The researchers solved two key problems that plague current methods: the high cost of repeated API calls to search engines, and the unpredictable quality of search results that can make training unstable.
"The quality of documents returned by search engines is often unpredictable, introducing noise and instability into the training process," the researchers write. Their solution gives precise control over the quality of search results during training.
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When asked how they reach decisions, advanced AI systems write elaborate explanations—but new research reveals these justifications are often fabricated, raising critical questions about current safety measures.
AI helped them work faster and better. Then their colleagues found out. New research reveals an unexpected tension in today's workplace: using AI tools can boost performance but damage professional reputation. Data from 4,400 workers shows why many now hide their AI use
Researchers have created an AI that teaches itself complex skills without any human examples. Unlike current systems that learn from human data, this AI generates and solves its own challenges. Early tests show it outperforming traditional models - but questions remain about its limitations.
AI's new soccer superpowers aren't just tracking the ball—they're reading the whole game. How a Shanghai research team built a system that spots what even veteran refs miss, outperforms GPT-4, and could revolutionize how we watch the world's most popular sport.
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