We catch early signals, then triangulate with trusted sources to publish what actually matters.
Provides practical criteria for deciding whether low GPU utilization calls for more GPUs or improvements in networking, scheduling, topology-aware placement, and operations software.
Using the Panasonic Avionics AWS-based IFEC diagnostic case, this article helps readers distinguish agentic AI for narrowing failure causes from AI that replaces aviation safety or maintenance decisions.
Clarifies why structured decision models should be evaluated by decision changes against clean decisions and natural variation, not only by harmful generated text.
A practical guide to how LogicTrack verifies step-by-step entailment in CoT reasoning, where it can add value, and why it should complement rather than replace final-answer evaluation.
A practical guide for teams evaluating code-generation agents on how to separate test pass rates, formal verification results, and specification fidelity in their decision criteria.
A practical guide to assessing power availability for AI data centers and semiconductor projects, focusing on decarbonized supply, grid connection, cooling efficiency, and demand flexibility.
A weekly digest of what actually matters.