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  1. Top AI and tech firms sign 'morally binding' accord to 'self-police' development after meeting at White House — Euronews Next
  2. TensorFold vs vLLM on one DGX Spark, same benchmark: Qwen3.8-Flash-Next goes from 27.8 to 52.2 tok/s for a single request (1.4× with 5 at once) — r/LocalLLM
  3. AI leaders talk latest models, tech risks at Trump lunch — Semafor Technology
  4. I built an open-source tool that tells you why your vLLM server is slow (NVIDIA only for now, Mac support planned) — r/LocalLLM
  5. Open source inference engine (like LM Studio or Unsloth Desktop) that optimizes itself for your exact hardware. Compiles and tunes its kernels on your device, so open models run up to 2x faster than llama.cpp. Works on Apple Silicon, NVIDIA, AMD or nothing but a CPU. — r/LocalLLaMA
  6. Meta dodges billions in US taxes by calling its AI data centers experiments — The Decoder
  7. Red Hat delivers peak performance on Kubernetes and CPUs in MLPerf Inference v6.1 — Red Hat AI Blog
  8. OpenAI Says It Will Not Release Newest Astra A.I. Model Over Safety Concerns — New York Times Technology

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