AI Watermarking Explainer
How AI text watermarking works. An interactive walkthrough of SynthID-Text's tournament sampling, built with real LLM responses.
- Watermarking
- Large Language Models
Researching how digital technologies mediate economic and political life.
Currently: Postdoctoral Researcher
Large Language Lab, UCLA
Pascal, U., Fang, C. & Bassens, D. (2026). Decentering tech oligarchy. Science as Culture.
Presner, T., Bonazzi, A., Pascal, U., Tang, A., Toubian, S. & Wasdahl, A. (2026). Response III: Uncritical Fabulation and Holocaust Vibe: How AI Constructs the Past. Digital Memory Dialogues, 2(4).
Pardo-Guerra, J. P. & Pascal, U. (2026). Historicizing Market Infrastructure. The Oxford Handbook of Comparative Historical Sociology, Oxford University Press (forthcoming).
How AI text watermarking works. An interactive walkthrough of SynthID-Text's tournament sampling, built with real LLM responses.
An interactive visualization of how a large language model constructs Holocaust testimony, built from 1,000 GPT-4o completions of a single prompt — clustering their sentences and aggregating chosen and considered tokens into explorable decision trees.
Watch a convolutional neural network see. A browser rebuild of the ml4a ConvnetViewer: point your webcam or an image at MobileNetV1 and browse every layer's live activations, learned kernels, and top predictions, all running locally with TensorFlow.js.