If we're training or fine-tuning larger models and hitting GPU memory walls, this offloading pattern is worth reading before reaching for more GPUs.

If we're running latency-sensitive inference on Outposts, this is the storage tuning checklist to work through before blaming the model for slow responses.

Worth an afternoon: adding agent-readable structure to our own sites now avoids scrambling to retrofit it once agent traffic becomes routine.

pilotfish's plan-then-delegate split mirrors what ax does for web fetching: push the expensive reasoning to one layer and cheap mechanical work to another.

Pairing this with the Strix Halo cost thread suggests local, fully-open voice agents are getting genuinely cheap to run end to end.