A technology being built faster than any before it, mapped as a planetary force: its history, its risks, the supply chain beneath it, its scale, and the architectures it runs on.
From Turing's dream to frontier models
A deep timeline of artificial intelligence from antiquity to projected futures — with training compute, Moore's Law, task-horizon, benchmarks, context windows and inference cost.
The AI Risks Observatory
A measured map of the AI race: capability acceleration, structural forces, 53 mapped failure modes, the real-world incident record, governance gaps, and possible futures.
From quartz mines to AI chatbots
The global physical supply chain behind artificial intelligence, from quartz deposits to AI chatbots.
The scale of artificial intelligence, from one byte
The scale of artificial intelligence drawn to size: data and computing as nested squares, from one letter to all the AI chips sold so far, then on to the limits of physics.
A field guide to neural networks
A field guide to 53 neural-network architectures — from the 1958 Perceptron to Diffusion Transformers, JEPA and Gated DeltaNet. Successor to the Neural Network Zoo.
GLOBAÏA does not subscribe to the TESCREAL bundle, the family of ideologies that runs from transhumanism to longtermism and carries the techno-utopian visions so often attached to artificial intelligence. We look at AI as we look at any planetary force: for what it does to the Earth and to those who live on it. Our idea of stewardship has other roots, among them indigeneity, planetary justice and posthuman thought. They ask for respect towards the many ways cultures value the world, for the ecological wisdom that long predates us, and for the bond between human and non-human lives. How we use AI in our own work is set out on our Transparency page.
An immersive, soothing voyage to abstract infinity awaits. Best with long, slow space-ambient music — whatever lets you drift — your screen full, and nothing asked of you for a while.