Post-externals

Pointing at a loss function is not a valid substitute for an actual engagement with the behaviors and internal representations a model has developed.

A multi-agent AI system for Entlastungsdienst Bern that assesses care workers’ competencies through conversation, creates personalised learning paths, and enables interactive training. Semi-finalist, GenAI Awards 2026.

An on-premise and Swiss-cloud platform for running open-source LLMs, giving businesses full control over their data. Deployed across multiple client industries.

My thoughts on how consciousness should be tackled from a representationalist perspective based on ideas from phenomenal structuralism. Includes an ML-based experiment of how I think one could go about decoding conscious content from neural systems using self-attention.

Some thoughts on the connection between neurons as physical objects, neural representations, and subjective experience.

A look at three formulations of the problem of consciousness, their metaphysical assumptions, and their implications for science.

A presentation about the meta-problem of consciousness as described by David Chalmers.

A blog post introducing probabilistic forecasting in the Darts open source time series library, including an artificial and a real-world example.

A presentation of the Darts open source library from the PyData Global 2021 conference by Francesco Lässig and Julien Herzen.

A talk abut the Darts open source library from the EuroPython Global 2021 conference by Gael Grosch and Francesco Lässig.