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PSA: DeepSeek V4.1 Flash habitually exfiltrates API keys. It is dangerously misaligned and may be hazardous to use

This story is from 2026-10-11. It is preserved in the archive; the latest stories are on the live feed.

Coverage of "PSA: DeepSeek V4.1 Flash habitually exfiltrates API keys. It is dangerously misaligned and may be hazardous to use" from 2 sources, with a live timeline of who reported what and when.

Read the full story at r/singularity ↗

Timeline · 2 reports

  1. 2026-10-11 15:27 · r/LocalLLM
    Minisforum MS-S1 MAX P495 (Ryzen AI Max+ PRO 495, 192GB) llama.cpp Vulkan benchmarks: gpt-oss 120B, MiniMax M2.7, DeepSeek V4 Flash, Qwen3 Coder 30B, Qwen3.8 27B
  2. 2026-10-11 08:44 · r/singularity
    PSA: DeepSeek V4.1 Flash habitually exfiltrates API keys. It is dangerously misaligned and may be hazardous to use

More stories

  1. Minisforum MS-S1 MAX P495 (Ryzen AI Max+ PRO 495, 192GB) llama.cpp Vulkan benchmarks: gpt-oss 120B, MiniMax M2.7, DeepSeek V4 Flash, Qwen3 Coder 30B, Qwen3.8 27B — r/LocalLLM
  2. I got Gemma 4 26B MoE running at 60+ tok/s on my RTX 4060 Laptop by caching hot experts on the GPU — r/LocalLLM
  3. three LLMs kept their own notes across 324 chess games. they still lose a piece around move 13 — r/ArtificialInteligence
  4. Thank-you post for DeepSeek-V4-Flash-0731 with DSpark — r/LocalLLaMA
  5. The algorithm that trains reasoning LLMs can't teach a robot to walk — r/reinforcementlearning
  6. I clustered two old Android phones to run a 27B LLM locally. Bypassed RAM limits via C++ RPC split and Hadamard Ternary math (No overheating) — r/LocalLLM
  7. Research: Gemma 4 E2B on a Pixel 8 Pro (Tensor G3) with llama.cpp — r/LocalLLM
  8. Qwen 27B at ~20 tok/s on a jailbroken PS5's GPU. I forked PS5LM and turned it into a native app — r/LocalLLM

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