The Sequence AI of the Week #702: Inside OpenAI gpt-oss
A technical deep dive into OpenAI's open source model.
The release of OpenAI’s gpt-oss took the AI world by storm last week. The idea of OpenAI open sourcing a top model was unthinkable a couple of years ago. Altough there are not enough technical details available about gpt-oss, I wanted to outline some of the key architecture and technical highlights of the model as well as some of its limitations.
TL;DR
Architecture: Sparse MoE transformer (router-gated experts), long-context attention, cache-efficient inference.
Key innovations: Efficient 4-bit quantization; strong tool-use tuning; deployment-ready on Azure/Windows Foundry; open weights under a permissive license.
Why it matters: Near-proprietary usability with open-stack control—ideal for on-prem agents, edge assistants, and cost-sensitive enterprise copilots.