581 summarised stories about AI Automation, each linking back to the original source. Browse all topics →
OpenAI 11 months ago 55
Neuro, a retail company, uses ChatGPT Business to operate across the U.S. with under 70 staff members by automating tasks in sales and operations. The company achieves cost reduction and faster execution by leveraging the AI tool instead of hiring additional employees. This efficiency enables Neuro to scale its national presence while maintaining a lean workforce structure.
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TLDRocket
21 October 2026
The day’s biggest throughline wasn’t new model announcements—it was the messy, expensive reality of getting AI to run at scale, profitably, and reliably. Google Cloud shipped llm-d 1.0, a Kubernetes-native distributed inference layer that routes requests to pooled vLLM or SGLang servers, while Google also unveiled TorchTPU, a PyTorch-focused path for developers trying to move off Nvidia GPUs (notably, the pitch leans on PyTorch’s dominance, cited as 85% of AI apps). Off the hardware side, Dutch startup Photon Bridge raised €10 million to build laser tech for optical links in large AI clusters, targeting first samples in 2027 and volume manufacturing in 2028, and framing the bottleneck as a manufacturing-scale problem: millions of lasers per year, delivered via multiplexing designed for higher yield.
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