Research area · Sovereignty
Local & sovereign compute
What you can actually do on hardware you own.
Open-weight models on a desk, measured against the frontier on the same tasks with the same harness. Where the local engine is a wash, where it isn't, and what the runtime knobs really do — reasoning budgets, quant formats, context division, speculative decoding — reported as numbers with their conditions attached. The end of it is a clear line: which of this lab's own work can run on hardware it owns, and what that costs.
01Published

LM Studio divides the context window among parallel slots
Field note3 Sep 2026

The latency was the reasoning budget, not the model
Field note3 Sep 2026