Topic
Understand the infrastructure beneath the intelligence.
Artificial intelligence reaches us through a screen, but its work depends on physical systems: processors, memory, networks, electricity and cooling. Understanding those systems helps us see where the real opportunities and constraints lie. This collection examines AI infrastructure, useful computing performance and the operating decisions that shape cost and reliability. We explore how workloads are scheduled, how failures interrupt progress and why a higher utilisation figure does not automatically mean a better result. We also study the tools already available, so that a new idea earns its place through evidence. For readers, builders and strategic partners, the purpose is practical understanding: what the system does, what limits it and what could make it more useful.
Terafab links logic, memory and packaging in one proposed manufacturing system. We examine the potential feedback advantages, the evidence that would establish progress, and the smaller research opportunities an independent team can investigate.
The Matrioshka brain imagines layers of computing around a star. Its enduring lesson is that information processing has physical limits; nesting alone does not establish superior efficiency, intelligence or feasibility.
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.