claude-hardware-in-the-loop (37 stars): AI agents that help design boards, CAD and firmware, but cannot call a job done until hard checks pass.

You can try three pretrained AI agents that spot anomalies and rare events in your own sensor data free for 14 days, no card needed.

Archetype AI offers a 14-day free trial, no card, with three pretrained Newton agents for anomaly discovery, operational state monitoring and rare event detection on your own sensor data. Uploads cap at 2 GiB per file and runs at 2 hours. It is a trial, not a free tier.

For operations and reliability teams: try anomaly and state monitoring on plant sensor data.

Data centers are getting priority gas turbine slots, but four hurdles still stand between a slot and running their own power.

At Singapore International Energy Week, Giresh Prabhat says turbine suppliers are giving data centers priority slots, engineering teams and commercial flexibility. That is his practitioner read as head of Atrion Energy and a former GE Vernova executive, not an OEM quote; Mitsubishi Power says new large-frame deliveries now run to about 2031. He lists four hurdles still in the way: sizing bring-your-own-power at N+1 to N+3 plus fuel cells, gas permitting in Southeast Asia, an owner-operator business model, and long-term service agreements built for grid plants rather than campus load. A slot is not a running plant.

A 50 MW data center is not a 50 MW data center if it can only hold that load for six hours.

Brado Greene argues that nameplate megawatts and sustained megawatts split apart under agentic AI workloads, because the load never idles and the cooling never gets a chance to recover. A site rated at 50 MW that can only hold it for six hours is a smaller site in practice. This is LinkedIn analysis with no study cited, but it is the right question for utilities and campus owners sizing power and cooling.