The Hidden Cost of AI: The GPU Bill AI model training typically consumes millions of dollars in GPU compute—a burden that shapes budgets, limits experimentation, and slows progress. The status quo: training a modern language […]
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Key Points No flagship, globally competitive, locally developed LLM (such as GPT-4, Claude 3.5, LLaMA 3.1) has yet emerged from Australia. Australian research and commerce currently rely primarily on international LLMs, which are frequently used […]
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Welcome to a new era of AI interoperability, where the Model Context Protocol (MCP) stands ready to do for agents and AI assistants what HTTP did for the web. If you’re building, scaling, or analyzing […]
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Vibe coding is making lots of noise in software development, but perhaps nowhere will its presence be felt more keenly than in the Web3 coding space. Of course, not every AI code generator is cut […]
AI Singapore (AISG) has released SEA-LION v4, an open-source multimodal language model developed in collaboration with Google and based on the Gemma 3 (27B) architecture. The model is designed to support Southeast Asian languages, including […]
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