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AIBullishIEEE Spectrum – AI · Jan 277/106
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Thermodynamic Computing Slashes AI-Image Energy Use

Researchers at Lawrence Berkeley National Laboratory have developed thermodynamic computing techniques that could generate AI images using one ten-billionth the energy of current methods. The approach uses physical circuits that respond to natural thermal noise instead of energy-intensive digital neural networks, though the technology remains rudimentary compared to existing AI image generators like DALL-E.

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AIBullishOpenAI News · Jan 257/103
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Scaling Kubernetes to 7,500 nodes

A team has successfully scaled Kubernetes clusters to 7,500 nodes, creating infrastructure capable of supporting both large-scale AI models like GPT-3, CLIP, and DALL-E, as well as smaller research projects. This achievement demonstrates significant progress in cloud infrastructure scalability for AI workloads.

AIBullishOpenAI News · Sep 286/105
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DALL·E now available without waitlist

OpenAI has removed the waitlist for DALL·E, allowing new users to immediately access the AI image generation tool. The wider availability is enabled by improvements to safety systems and lessons learned from the deployment process.