Run Kimi K3 using 29 GB of RAM at 0.50 tok/s | Hacker News

A Hacker News thread flagged a README for running Kimi K3 locally as sounding machine-written.

Commenters debated how much AI-authored code and commit history should be reviewed, and what disclosure is expected.

The discussion also covered Kimi K3’s local setup, including memory use, power draw, and other hardware tradeoffs.

A major concern was practicality: very slow token throughput makes the model hard to use in real workflows.