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Alibaba Marco-o1: Advancing LLM reasoning capabilities

Alibaba has announced Marco-o1, a large language model (LLM) designed to tackle both conventional and open-ended problem-solving tasks. Marco-o1, from Alibaba’s MarcoPolo team, represents another step forward in the ability of AI to handle complex reasoning challenges—particularly in maths, physics, coding, and areas where clear standards may be absent. Building upon OpenAI’s reasoning advancements with

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New AI training techniques aim to overcome current challenges

OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods. Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. Reportedly led by a dozen AI researchers, scientists, and investors, the new

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YeagerAI’s Intelligent Oracle: Built on GenLayer blockchain for real-time data access

Blockchain AI research lab YeagerAI has announced the launch of the Intelligent Oracle, an AI-powered oracle that aims to provide decentralised applications (DApps) with online data on-chain. The Oracle can change how data is collected, offering new possibilities and use cases for blockchain DApps. It is built on the GenLayer blockchain, also a brainchild of

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OpenAI enhances AI safety with new red teaming methods

A critical part of OpenAI’s safeguarding process is “red teaming” — a structured methodology using both human and AI participants to explore potential risks and vulnerabilities in new systems. Historically, OpenAI has engaged in red teaming efforts predominantly through manual testing, which involves individuals probing for weaknesses. This was notably employed during the testing of

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