This week’s we focused on AI capabilities—not as an end in themselves, but as a way of grounding how we later think about risk. It started quite concretely, with capabilities like language models, image generation, and then this idea of multi-modality. At first, I thought multi-modal systems were simply about translating between formats—image to text,Continue reading “Learning to Look at AI Through Capability”
Tag Archives: technology
Beginning an AI Safety Fellowship: First Impressions
Today, the 1st of February 2026, I attended the meet-and-greet session for the fellowship conducted by AI Safety Collab . This post is part of a small but intentional experiment: to keep a public, honest record of what I am learning, thinking about, and struggling with as I move through this programme. The opening sessionContinue reading “Beginning an AI Safety Fellowship: First Impressions”
What Today’s AI Systems Reveal About Power, Trust, and Governance
Artificial intelligence is often discussed as a future problem. In spite of the recent rise in debates surrounding the safety of AI models there is a complacence, a feeling that AI governance is a thing for the future—something we will need to regulate once it becomes sufficiently advanced. This idea is misleading. The systems alreadyContinue reading “What Today’s AI Systems Reveal About Power, Trust, and Governance”
How Are Models Like GPT-4 Trained? A Gentle Introduction
AI models like ChatGPT continue to amaze people with their ability to converse, explain, write, and even comfort. Many of us have had the same moment of astonishment: How can a machine talk like this? How can it solve problems, analyse literature, write code, and create art? To understand this, we have to look beneathContinue reading “How Are Models Like GPT-4 Trained? A Gentle Introduction”
