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2026-10-25

AI/Tech Digest 2026-10-25

AI & local LLM

1. Kimi K3.1 removes cyberattack training data from open weight release [LAB]
   Directly affects an open-weight model release pipeline and the safety constraints shaping locally runnable models.
   https://www.reddit.com/r/LocalLLaMA/comments/1xecgrf/kimi_k31_removes_cyberattack_training_data_from/ (reddit.com)
2. Meta trained small AI models to read raw bytes instead of tokens. They start out worse, but the paper predicts they end up better [LAB]
   Notable training-architecture research that could change how small models are trained and evaluated.
   https://www.reddit.com/r/LocalLLaMA/comments/1xe88ja/meta_trained_small_ai_models_to_read_raw_bytes/ (reddit.com)
3. Leaked LiteLLM Master Key Let Attackers Steal GitHub Tokens and Hijack Release Pipeline [LAB]
   Security incident in LLM serving/tooling infrastructure that matters for anyone running or integrating local inference stacks.
   https://thehackernews.com/2026/10/leaked-litellm-master-key-let-attackers.html (thehackernews.com)

General tech

4. Brotli Decoder Flaw Behind Node.js RCE Also Affects Bun, Python and Other Widely Used Software [LAB]
   A memory-corruption bug in a widely used decompression library can affect many runtimes and tools, making it directly relevant to your infrastructure and supply-chain security.
   https://thehackernews.com/2026/10/brotli-decoder-flaw-behind-nodejs-rce.html (thehackernews.com)
5. The Goose Programming Language [LAB]
   A new programming-language project is squarely in your interest area and may be worth evaluating for tooling or experimentation.
   https://aardappel.github.io/goose/ (aardappel.github.io)