@PyTorch: Rachad Alao (@cohere) examines how open science can support transparent and secure AI foundation model development at #…
Summary
Rachad Alao of Cohere speaks at PyTorchCon 2026 about how open science can enable transparent and secure AI foundation model development, advocating for open architectures, independent auditing, and tools like PyTorch, TorchTitan, and vLLM.
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Rachad Alao (@cohere) examines how open science can support transparent and secure AI foundation model development at #PyTorchCon 2026.
Rachad argues for publishing model architectures, training strategies, parameter choices, and evaluation methodologies, alongside an evidence-based risk framework, independent auditing, continuous monitoring, and dynamic safeguards.
He discusses how PyTorch, TorchTitan, and @vllm_project support model development and inference optimization when models are open and accessible, and how access to internal representations enables research in retrieval, reasoning, and multilingual AI.
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