Show HN: Overlapping Speaker Transcription Model
A single model capable of transcribing overlapping speakers, without a need for diarisation.
A single model capable of transcribing overlapping speakers, without a need for diarisation.
We’re two second-year CS students, and over the last 4 months we built a ML framework in Rust+CUDA with a TypeScript API on top (and a WebGPU fallback)Our goal is to fully understand the ML stack end-to-end. To force ourselves to use it for something real, we also trained a 12M-parameter transformer with it.We wrote custom CUDA kernels for operations such as flash attention, AdamW, layer norm, and GELU. We also added a WebGPU path so it can still run on machines without NVIDIA GPUs, though that
Hi HN. I'm Samuel, founder of Agensi (agensi.io). I'm a non-technical founder in the Netherlands. Built the platform mostly with Claude Code and Lovable over the last few months.What it is: a curated marketplace for SKILL.md skills. SKILL.md is the folder-plus-instructions format Anthropic shipped for teaching AI coding agents (Claude Code, Cursor, Codex CLI, Gemini CLI, and others) new capabilities. Creators publish skills, users install them into their agent. Every listing goes thro
There’s a lot of hype (and hate!) right now around "Vibe Coding". And rightly so. The idea that you can build out software entirely by kicking back and commanding AI agents to do the typing for you is an incredibly exciting concept, but most people trying this are hitting a brutal reality after just a few days: AI Code Rot. First it works. Then it fails. And you have no idea how to fix it. I decided to build an app: a complex dinner scheduling engine. It imports recipe URLs and outputs
Apple has quietly shipped a pretty complete on-device AI stack into macOS, with these features first getting API access in MacOS 26. There are multiple components in the foundation model, but the skills it shipped with actually make this ~3b parameter model useful. The API to hit the model is super easy, and no one is really wiring them together yet.- Foundation Models (macOS 26) - a ~3B-parameter LLM with an API. Streaming, structured output, tool use. No API key, no cloud call, no per-token co
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