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Pentagon adds ChatGPT Mil and Grok to its GenAI.mil portal

The Pentagon deploys ChatGPT Mil and Grok for Government to 3M+ personnel, Instagram limits undisclosed AI profiles, and llama.cpp shifts to lazy loading.

πŸš€ RELEASES & LAUNCHES

  • Instagram to Limit Reach of Undisclosed AI-Generated Profiles
    Instagram will reduce the reach of profiles featuring undisclosed AI-generated people.

    • The policy targets Instagram creators whose profiles feature AI-generated people.
    • Instagram renamed its β€œAI creator” label to β€œAI-generated profile.”
    • Undisclosed AI-generated profiles may receive reduced reach, while disclosed profiles are not penalized solely for using AI personas.
    • AI-assisted photo edits, captions, graphics, and other minor creative changes do not require the profile label.
    • The change makes disclosure a condition of visibility for synthetic identities on Instagram.
    Sources πŸ“„ Source: creators.instagram.com Β· πŸ“Ž Coverage: techcrunch.com Β· πŸ‘ via TechCrunch AI
  • llama.cpp Makes Lazy Loading Automatic, Reducing RAM Use but Slowing Inference
    llama.cpp changed --lazy-mode to auto by default in build b10726.

    • The change affects llama.cpp users running large models such as Qwen3.8-Flash-Next.
    • Build b10726 now memory-maps large tensors over 4 GiB and reads rows on demand instead of keeping them resident.
    • The Qwen3.8-Flash-Next 51B-parameter PLE n-gram table can stay on disk even with --load-mode none.
    • A user reported a 50% prompt-processing slowdown and 15% token-generation slowdown with lazy loading enabled.
    • Users with sufficient RAM can pass --lazy-mode off to keep large tensors resident.
    Sources πŸ“„ Source: github.com Β· πŸ“Ž Coverage: reddit.com Β· πŸ‘ via r/LocalLLaMA
  • Nanbeige 4.2 gets a DSpark version for faster local inference
    Nanbeige released a DSpark-enabled 3B checkpoint for local inference.

    • The checkpoint targets local users with limited GPU resources.
    • Nanbeige4.2-3B-DSpark is available on Hugging Face with DSpark speculative decoding.
    • A user reported roughly 35 tokens per second with autoregressive decoding before the DSpark update.
    • The submitter said the 4B-class model was stronger than Qwen3.5 9B and could now run faster.
    Sources πŸ“„ Source: huggingface.co Β· πŸ“Ž Coverage: reddit.com Β· πŸ‘ via r/LocalLLaMA

πŸ’° BUSINESS & FUNDING

  • Pentagon adds ChatGPT Mil and Grok to its GenAI.mil portal
    The Pentagon added ChatGPT Mil and Grok for Government to GenAI.mil.
    • GenAI.mil serves more than 3 million Defense Department military personnel, civilians, and contractors.
    • ChatGPT Mil and Grok for Government joined Google Gemini on the secure portal at Impact Level 5 for controlled unclassified information.
    • ChatGPT Mil supports chat, files, projects, custom GPTs, and document-heavy planning, policy, logistics, and administrative work.
    • Grok for Government adds deep-thinking inference, adaptive reasoning modes, persistent projects, and reusable playbooks.
    • The multi-model portal gives personnel multiple commercial AI providers and is intended to reduce vendor lock-in.
    Sources πŸ“„ Source: war.gov Β· πŸ“Ž Coverage: defensescoop.com Β· πŸ‘ via TechCrunch AI

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