Month: April 2025

AI framework tackles LLM agent instability

Researchers have introduced RAGEN, an AI framework designed to counter LLM agent instability when handling complex situations. Training these AI agents presents significant hurdles, particularly when decisions span multiple steps and involve unpredictable feedback from the environment. While reinforcement learning (RL) has shown promise in static tasks like solving maths problems or generating code, its […]

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AI assistants that actually do things

China’s tech companies will drive adoption of the MCP (Model Context Protocol) standard that transforms AI assistants from simple chatbots into powerful digital helpers. MCP works like a universal connector that lets AI assistants interact directly with favourite apps and services – enabling them to make payments, book appointments, check maps, and access information on […]

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Google introduces AI reasoning control in Gemini 2.5 Flash

Google has introduced an AI reasoning control mechanism for its Gemini 2.5 Flash model that allows developers to limit how much processing power the system expends on problem-solving. Released on April 17, this “thinking budget” feature responds to a growing industry challenge: advanced AI models frequently overanalyse straightforward queries, consuming unnecessary computational resources and driving […]

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Google launches A2A as HyperCycle advances AI agent interoperability

AI agents handle increasingly complex and recurring tasks, such as planning supply chains and ordering equipment. As organisations deploy more agents developed by different vendors on different frameworks, agents can end up siloed, unable to coordinate or communicate. Lack of interoperability remains a challenge for organisations, with different agents making conflicting recommendations. It’s difficult to […]

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The evolution of harmful content detection: Manual moderation to AI

The battle to keep online spaces safe and inclusive continues to evolve. As digital platforms multiply and user-generated content expands very quickly, the need for effective harmful content detection becomes paramount. What once relied solely on the diligence of human moderators has given way to agile, AI-powered tools reshaping how communities and organisations manage toxic […]

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