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Ai2: Building physical AI with virtual simulation data

ai, AI (Artificial Intelligence), ai2, Artificial Intelligence, Computer vision, development, Features, How It Works, Models, Open Source, physical ai, Robotics, Simulation

Virtual simulation data is driving the development of physical AI across corporate environments, led by initiatives like Ai2’s MolmoBot. Instructing hardware to interact with the real world has historically relied on highly expensive and manually-collected demonstrations. Technology providers building generalist manipulation agents typically frame extensive real-world training as the basis for these systems. For some […]

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Anthropic: Claude faces ‘industrial-scale’ AI model distillation

ai, AI (Artificial Intelligence), anthropic, Artificial Intelligence, claude, Distillation, Features, governance, Governance, Regulation & Policy, How It Works, Inside AI, Models, Security, Special Reports & Series, training

Anthropic has detailed three “industrial-scale” AI model distillation campaigns by overseas labs designed to extract abilities from Claude. These competitors generated over 16 million exchanges using approximately 24,000 deceptive accounts. Their goal was to acquire proprietary logic to improve their competing platforms. The extraction technique, known as distillation, involves training a weaker system on the

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Alibaba Qwen is challenging proprietary AI model economics

ai, AI (Artificial Intelligence), AI and Us, AI Business Strategy, Alibaba, Artificial Intelligence, china, democratisation, Economics, Features, governance, Governance, Regulation & Policy, Inside AI, Models, Open Source, Open-Source & Democratised AI, Opinion, qwen, strategy

The release of Alibaba’s latest Qwen model challenges proprietary AI model economics with comparable performance on commodity hardware. While US-based labs have historically held the performance advantage, open-source alternatives like the Qwen 3.5 series are closing the gap with frontier models. This offers enterprises a potential reduction in inference costs and increased flexibility in deployment

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AI forecasting model targets healthcare resource efficiency

ai, AI (Artificial Intelligence), AI and Us, AI in Action, Artificial Intelligence, Government & Public Sector AI, Health, Healthcare, Healthcare & Wellness AI, Models, NHS

An operational AI forecasting model developed by Hertfordshire University researchers aims to improve resource efficiency within healthcare. Public sector organisations often hold large archives of historical data that do not inform forward-looking decisions. A partnership between the University of Hertfordshire and regional NHS health bodies addresses this issue by applying machine learning to operational planning.

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