AiBrainWorX has a new home for research, reporting and hands-on local AI. The redesigned site puts the latest reporting, Model Watch and documented measurements within easy reach, with a direct connection to our new product and community hub, OpenSourceCoder.
What you can do here
Follow model releases with their publisher, availability and licensing context. Read original reporting and the articles already in our archive. In the benchmark lab, compare the full recorded samples and test conditions rather than taking a headline number as a universal promise.
The latest documented Windows Qwen Coder run used an RTX 3060 12 GB, Ryzen 5 5500 and 32 GB RAM. Three short completed cached requests with light monitoring measured 35.7, 45.1 and 44.5 generated tokens/s; an uncached warmup was 17.4. A separate 46.0 sample hit its output limit. These observations do not establish sustained speed or Linux performance. Open the chart and raw conditions.
From reading to building
OpenSourceCoder brings the launcher, a model library, curated repositories, documentation and community together. Its first-run guide walks through the Windows setup choices and the separate Linux/WSL path. DeepSeek Harness supplies the coding workspace; Strata or another chosen engine runs inference.
When checked October 28, the source branches reported Windows 0.4.0-alpha.6 and Linux 0.1.0-alpha.2. The version panel above checks the current source files when possible; published release tags are a separate history. The Windows source requires its own prerequisites and does not include model weights.
Independent by design
The new site serves pre-rendered pages with interactive elements where they help. The builder community uses a separate backend for accounts and conversations. Browser article publishing and paid Runpod provisioning remain marked as coming soon; existing reporting remains available. We will continue adding sourced stories and documenting what we have actually tested.
Original AiBrainWorX reporting. Version numbers are source-branch observations as of the date shown; GitHub release tags are tracked separately.
