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Like other big technology companies, Microsoft is hoping its aggressive spending on artificial intelligence is starting to translate into revenue.
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 Apple's 20th anniversary iPhone is expected to arrive in the fall of 2027 with the most significant redesign the device has seen since the iPhone X.
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When Nvidia CEO Jensen Huang speaks, the tech industry listens. He used his first-ever post on X last week to argue that open AI models "strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty."
Nvidia is a chip company (with a focus on GPUs). But it also has its own AI models that include Nemotron, an open-weight model that's free to download and modify. The company is also pushing for open AI technologies and security through the Nemotron Coalition and the newly launched Open Secure AI Alliance.
With Huang's recent comments in mind, Computerworld sat down with Kari Briski, Nvidia's vice president of generative AI (genAI) software, to find out more about open models and why they matter for enterprise and sovereign applications.
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 OpenAI's hardware roadmap has sharpened considerably in recent months, with its first device now identified, a smartphone said to be arriving as soon as next year, and a wider lineup taking shape behind them.
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Anthropic CEO Dario Amodei has argued that policymakers should keep lower-risk open-weight AI accessible while placing stricter safeguards around frontier systems, including mandatory testing and limits on China's access to advanced computing and model capabilities.
In a post outlining Anthropic's position, Amodei said broad restrictions, including bans on Chinese open-weight models used by US businesses, would not address his main national security concerns. Instead, he pointed to the possibility of authoritarian governments surpassing the US in advanced AI, as well as cyber, biological, and alignment risks posed by increasingly capable systems.
Amodei also called for action against industrial-scale model distillation, which he said allows Chinese developers to improve their models with less computing power than would be needed to train comparable systems from scratch.
The statement followed criticism of Anthropic for not signing an industry letter backed by Nvidia, Microsoft, Meta, IBM, Mistral, Hugging Face and other technology companies urging policymakers to avoid premature restrictions on open-weight models.
The letter said that open wei
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