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‘More than just objects’: Australian book sellers raise alarm over ‘horrific’ destruction of rare titles to feed AI

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Secondhand booksellers believe they may have been caught up in the AI supply chain that sees old books scanned then destroyed“Sometimes books tell you more than the content,” says Tim White, as he lines up carefully dust-jacketed books and pamphlets in plastic sleeves on temporary shelves in Melbourne University’s Wilson Hall.He’s preparing his stall for

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AMD Releases Instella-MoE-16B-A3B: A Fully Open Mixture-of-Experts LLM With 2.8B Active Parameters Trained On Instinct GPUs

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AMD released Instella-MoE-16B-A3B, a fully open Mixture-of-Experts language model trained from scratch on Instinct MI300X and MI325X GPUs. The model holds 16B total parameters but activates only 2.8B per token. AMD is publishing weights from every training stage, along with data mixtures, training configs, and inference code. Two systems-level choices carry the release: Gated Multi-head

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Accelerating Transformer Training with NVIDIA Transformer Engine, Fused Kernels, BF16, FP8, and GPU Benchmarking

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In this tutorial, we explore how NVIDIA Transformer Engine accelerates transformer workloads by combining fused GPU kernels, BF16 computation, and hardware-aware FP8 execution. We begin by installing Transformer Engine and detecting the active GPU architecture so that we can determine whether the runtime supports TE kernels, FP8 tensor cores, or only the pure-PyTorch fallback path.

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