581 summarised stories about AI Automation, each linking back to the original source. Browse all topics →
OpenAI 1 year ago 17
OpenAI developed an internal system to extract data from contracts and make it searchable across the organization. The system reduces the time needed to process contracts and retrieve specific terms or clauses. Teams can now access contract details faster without manual review of full documents.
OpenAI 1 year ago 52 ● 4 sources
OpenAI uses AI systems to handle customer support inquiries, reducing response times and improving answer quality across its growing user base. The company deployed AI-assisted tools that help support staff resolve issues faster while maintaining consistency in responses. This approach allows OpenAI to scale support capacity without proportionally increasing headcount during periods of rapid user growth.
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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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