Liquid AI releases an open-weight model for local AI agents. Explore its reported performance, hardware requirements, privacy risks and licensing limits.
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NVIDIA unveiled new AI for Media tools at IBC 2026 for real-time video upscaling, frame generation, synthetic-video detection and live broadcasting.
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Nvidia PAIR is a free open-source tool that distributes local AI workloads across PCs and Macs, letting idle hardware help run multi-agent tasks.
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Verizon is seeking to tap into Silicon Valley’s AI spending in a big way. The telecom giant revealed a deal worth more than $1 billion to link Google data centers using Verizon’s dark fiber routes—and it’s also tearing copper wiring out of central offices as it converts them into small data centers suitable for supporting AI inference workloads.
The telecom company publicly disclosed the Google partnership and data center conversion efforts as part of a new “AI Connect” business initiative during an earnings conference call covering the second quarter of 2026. Verizon also expects to announce additional AI-related deals by the end of the year that would be “worth multiple billions of dollars in revenue over the next several years,” said Dan Schulman, CEO of Verizon Communications, during the earnings call.
“Now it really is about, 'how do you connect data center to data center to assure that you can optimize to maximize the ever-exploding need for compute?'” Schulman said. “And while that data center connectivity demand is exploding, there's an equal amount of desire and demand to power inference models and applications that need ultra-low latency, like robotics or remote surgery, autonomous driving, and move that out into the edge, as opposed to these big, massive data centers.”


Hardware costs for humanoid robots are plummeting, but managing a fleet of these autonomous workers will severely test your enterprise IT infrastructure, security, and budget.
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