MarkTechPost (4 weeks ago)
Learn how to leverage NVIDIA’s cuDNN Frontend Graph API to build custom kernel fusions, autotuning engine configurations, FP8-style epilogues, scaled dot-product attention, dynamic shapes, and CUDA graph captures.
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Crystal Lake, Tip Toe, and Carrie are just a few of the shows you should be watching right now.
Industrial Next helps manufacturers automate complex, delicate tasks that have traditionally required human labor.
Dell’s expensive workstation combines strong AI results with high bandwidth, but RTX Spark’s larger shared memory may accommodate models Dell cannot load.
The attackers also apparently don’t know how to properly hide their tracks with Tornado Cash and Zcash.
ProArt GR1X now has a power brick, a weight, and a rough shipping window - but still has no price, looks remarkably like a machine Asus already sells, and is entering a crowded field.
They might be called Galaxy Glasses, and they’re coming in November.
Meta released Muse Wonder and Muse Wonder Full, 1M-context agent models. Muse Wonder costs $4/$20 per million tokens on Meta Model API. Wonder Full, on Muse Code plans, leads DeepSWE and SWE-Marathon.
In this comprehensive coding tutorial, we explore Meta’s Rebalancer assignment solver using its C++ core and Python bindings.
Z.ai’s GLM-Legal is a legal AI model built on GLM-5.3-Flash. It scores 19.2% all-pass on Harvey’s Legal Agent Benchmark, nearly 3x its base, at $0.15 per test. Access is by application.
Alibaba’s Qwen team has introduced QwenGyre, an elastic reinforcement learning RL framework for extreme-long-horizon agent training. QwenGyre is an online reinforcement learning system from Alibaba that trains coding agents through unmodified, black-box harnesses.
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