These diffusion-based language models run 10 times faster than current LLMs

Inception Labs has unveiled Mercury, a new family of diffusion-based large language models (dLLMs) that can generate text up to 10 times faster than conventional autoregressive LLMs. According to the company, Mercury models can process over 1,000 tokens per second on NVIDIA H100 GPUs, speeds previously achievable only with specialized hardware. The company’s first publicly …

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You.com’s AI research tool processes 400+ sources simultaneously

You.com has unveiled a new AI research tool called Advanced Research & Insights agent (ARI) that can analyze more than 400 sources at once. According to CEO Richard Socher, interviewed by Michael Nuñez for VentureBeat, the tool aims to transform market research by producing comprehensive reports in minutes instead of weeks. ARI features direct source …

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Hugging Face creates open alternative to OpenAI’s Deep Research

Hugging Face has developed an open-source version of autonomous research technology, matching key capabilities of OpenAI’s recently launched Deep Research feature. As reported by Benj Edwards for Ars Technica, the project called “Open Deep Research” was completed within 24 hours of OpenAI’s announcement. The new tool enables AI models to independently browse the web and …

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Stanford researchers create AI reasoning model for under $50, challenging industry giants

Researchers from Stanford and the University of Washington have developed an AI model called s1 that rivals the capabilities of expensive commercial AI systems while costing less than $50 in computing resources to train. The model, which was created through a process called distillation using Google’s Gemini 2.0 Flash Thinking Experimental model, demonstrates similar performance …

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Meta develops AI that knows when to think fast or slow

Meta AI and the University of Illinois Chicago researchers have created a new system that helps AI models respond more efficiently to queries. As reported by Ben Dickson in VentureBeat, the technology enables AI to determine whether a question needs deep reasoning or a quick response. The system, called Inference Budget-Constrained Policy Optimization (IBPO), uses …

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OpenAI launches “deep research” feature for comprehensive AI-powered analysis

OpenAI has introduced a new AI agent called “deep research” that enables ChatGPT to conduct comprehensive research tasks. The feature, currently available to ChatGPT Pro users with limited queries per month, utilizes OpenAI’s o3 reasoning model to analyze information from multiple web sources and compile detailed reports with citations. The system can process text, PDFs, …

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OpenAI partners with national labs to advance scientific research

OpenAI has formed a partnership with U.S. National Laboratories to apply its AI models to scientific research and nuclear security initiatives. According to Hayden Field at CNBC, the collaboration will give up to 15,000 scientists access to OpenAI’s o1 series models. The partnership aims to enhance power grid cybersecurity, advance disease treatment research, and deepen …

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New AI test claims to be humanity’s toughest challenge yet

Researchers from the Center for AI Safety and Scale AI have unveiled “Humanity’s Last Exam,” which they assert is the most challenging test ever created for artificial intelligence systems. According to reporting by The New York Times, the test consists of approximately 3,000 multiple-choice and short-answer questions spanning fields from analytic philosophy to rocket engineering. …

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Education: ChatGPT may lead to “metacognitive laziness”, study finds

A new study reveals that while ChatGPT can improve immediate task performance, it might encourage students to become overly dependent on AI technology. The research, conducted by Shufang Tan and published as an original article, compared different learning support methods among university students. The randomized experimental study involved 117 university students who were divided into …

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AI integration challenges end-to-end encryption privacy guarantees

A comprehensive analysis by Matthew Green examines how the increasing integration of AI technologies threatens traditional end-to-end encryption privacy protections. The article discusses concerns about AI assistants requiring access to private user data and the implications for secure messaging platforms. Green highlights that while end-to-end encryption has become standard in messaging apps like Signal, WhatsApp, …

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