13h ago · 18 min read · When I last wrote about this project, I was benchmarking enterprise AI inference tooling against a local alternative on cutting-edge GPU hardware — and discovering that enterprise frameworks are not a
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11m ago · 3 min read · In an unexpected development, the President of the United States has recently issued a stern warning that could have significant ramifications for Spain's economy and its trade relations within the European Union. The threat to sever trade ties with ...
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26m ago · 3 min read · The legal reality of biometric data masking The most significant technical implication of the recent EU court clarification is that for developers and investigators, the biometric vector is now legally inseparable from the individual identity. From a...
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1h ago · 3 min read · Protect your investigative career from biometric liability by understanding the new legal landscape The technical landscape of facial comparison is shifting from a 'find anyone' model to a 'verify this specific person' model, and the catalyst isn't j...
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4h ago · 74 min read · Machine learning projects don’t end at training a model in a Jupyter notebook. The hard part is the “last mile”: turning that notebook model into something you can run reliably, update safely, and tru
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9h ago · 11 min read · EVAL #007: The Great MoE Shift — How Mixture-of-Experts Is Reshaping the Entire Inference Stack By Ultra Dune | EVAL — The AI Tooling Intelligence Report Llama 4 dropped last week and it broke the inference stack. Not literally — your vLLM deploymen...
Join discussion1d ago · 14 min read · Most LLM applications look great in a high-fidelity demo. Then they hit the hands of real users and start failing in very predictable yet damaging ways. They answer questions they should not, they bre
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