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OpenAI 4 years ago 21
OpenAI announced a new residency program designed to develop artificial intelligence talent. The program offers an immersive experience for selected participants to work on AI research and engineering projects within the company. This initiative aims to build the next generation of AI researchers and engineers through hands-on training and mentorship.
Hugging Face 4 years ago 12
Hugging Face released Optimum, an open-source library that optimizes Transformer models for faster inference on various hardware platforms, including Graphcore's Intelligence Processing Units. The partnership introduced BERT as the first IPU-optimized model, with the library enabling developers to fine-tune models on IPUs using PyTorch with minimal code changes. Developers can now deploy optimized state-of-the-art models on specialized hardware without requiring extensive optimization expertise, with the example BERT fine-tuning on SQuAD achieving 80.66% exact match accuracy.
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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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