Topic
Follow the questions, experiments and decisions as they develop.
A useful research programme leaves a trail that others can examine. This is where GalaxyLink records the questions we are investigating, the assumptions behind an experiment and the conclusions the available evidence can support. Early work may use synthetic data or simplified models; those limits belong beside the results. A promising outcome is worth testing further, and an unsuccessful approach can reveal where the next question should change. We intend to connect this learning to practical problems that operators and customers recognise. As the work develops, this collection will distinguish proposed studies, simulations, controlled tests and any independently reviewed operating evidence. Readers should be able to see both our ambition and the work required to advance it.
GalaxyLink’s first research direction asks how flexible computing work behaves under changing power constraints. It is a proposed route to learning, with customer demand and commercial advantage still to be established.
Our first synthetic comparison did not produce an optimisation win. It showed how restart effort and missed deadlines can undermine an apparently attractive scheduling rule.
Our starter model preserves completed work at slot boundaries but charges a restart delay after interruption. Understanding that assumption is essential to interpreting its results.
A compelling vision opens a conversation. This framework sets out the evidence I want GalaxyLink to build before claiming commercial or strategic value.
A useful library helps readers distinguish evidence, interpretation and ambition. This founder’s note explains the editorial standards we are designing into GalaxyLink.
Space exploration and responsibility towards Earth belong together in GalaxyLink’s founding purpose. This perspective proposes the questions that should test whether a technological ambition creates worthwhile human benefit.