Silk Compute
Uncensored AI inference API
What it does
Uncensored Kimi K3, DeepSeek V4 Flash, GLM-5.2, through an OpenAI compatible API with thinking, streaming, tool calls, and zero data retention.
Uncensored Kimi K3.0 and other frontier models through OpenAI and Anthropic compatible APIs with zero data retention.
Silk Compute Uncensored AI Inference API access to uncensored Kimi K3, GLM-5.2, and other frontier models. Zero data retention for prompts, model outputs, and request metadata. Silk Compute provides fast inference for frontier abliterated models. Use familiar OpenAI and Anthropic API formats without added safety layers, content filters, or moderation. Access unfiltered Kimi K3.0 and GLM-5.2 for reasoning, coding, research, and agentic workflows. Models are served without content-moderation layers. Compatible Endpoints OpenAI and Anthropic compatible endpoints that work with your existing workflow. Change only the base URL and API key. Silk Compute does not store your prompts, model outputs,…from silkcompute.com
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
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AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com