Today AI Trends on Reddit — 05/11/2026

Today AI Trends on Reddit — 05/11/2026

Top 8 posts across 8 AI / homelab subreddits — 05/11/2026.

• PSA: Immich Machine Learning has Microsoft Telemetry enabled by default, here's how to disable it (r/selfhosted · 1491 pts · 163 comments)
  A selfhosted guide warns that Immich Machine Learning uses Microsoft's ONNX Runtime with telemetry enabled by default in its Docker build. The author saw blocked DNS queries to mobile.events.data.microsoft.com and recommends setting ORT_DISABLE_TELEMETRY=1 plus isolating containers on an internal Docker network.
• Kimi-K3.1-Pro is now open-weights (r/LocalLLaMA · 1134 pts · 219 comments)
  A post announces Kimi-K3.1-Pro as open-weights. A top comment describes it as a 3T model whose license permits personal use and requires attribution for commercial use unless you are an API provider, with no further restrictors; another jokes about running it on a GTX 1030.
• Claude writes a neural network's weights by hand, without training, to detect fake legal citations—achieving 97.8% test accuracy and outperforming a conventionally trained model that scored 94.6%. (r/singularity · 936 pts · 158 comments)
  A post says Claude hand-wrote a neural network's weights without training to detect fake legal citations, reaching 97.8% test accuracy and beating a conventionally trained model at 94.6%. Commenters ask what hand-editing weights means and share a 2008 pen-and-paper digit-detector anecdote.
• My gift to the mods: (r/LocalLLaMA · 629 pts · 108 comments)
  A user posts an image titled My gift to the mods and asks whether the subreddit can have a megathread for vibeforked engine releases from now on. No other concrete details are provided.
• Anti data-center measures pass with huge margins in today's mid term election in America. (r/singularity · 440 pts · 253 comments)
  A post reports that anti-data-center measures passed with huge margins in today's US midterm election, linking to an X post. The provided text gives no further details on locations, margins, or specific measures.
• I removed 85% of gemma's weights (and it is mostly fine) (r/LocalLLaMA · 430 pts · 143 comments)
  A user pruned Gemma 4 26B-A4B, an MoE model, to 15% of its original size, retaining 92% agreement with the original on one classification task versus 90% for the 12B. The dense 3.81B model uses 2.75GB at Q4_K_M and runs at 79 tokens/s on the user's Mac.
• For those missing the old days of video (r/StableDiffusion · 425 pts · 74 comments)
  An animation video post evokes nostalgia for the old days of AI video. Commenters recall 2024's crazy realistic output and wish the stylized phase had lasted longer before improvements leapt to photorealistic.
• Introducing Hy4 (open weights soon) (r/LocalLLaMA · 358 pts · 98 comments)
  A post introduces Hy4 with open weights coming soon. Commenters note it is not the expected model with 4 in its name and that, like Kimi K3.1, its cybersecurity training was limited to defensive PoC and patching material, filtering offensive exploit development, reverse engineering, and penetration testing.