Thoughts and Theory

Public dataset and analysis of the evolution of parameter counts in Machine Learning

Model size of popular new Machine Learning systems between 1954 and 2021. Includes n=139 datapoints. See expanded and interactive version of this graph here.


Getting Started

  • Causal inference from observational data is a very important topic for many different fields ; better causal inference concepts and tools can help us disentangle topics such as the long term factors of economic growth or what biological indicators are accurate trackers of biological age
  • There has been much original research done in the last 20 years on representing causality…




  • Without humans aiding it, GPT-3 produces inconsistent results
  • Its context window (its memory span) is quite limited, so it cannot produce long coherent texts on its own
  • GPT-3 will most likely not be able to accurately summarize and explain data…


Photo by Callum Shaw on Unsplash

What are the main consequences of climate change?



The problem of confounders

Jaime Sevilla

ESR NL4XAI. Math and computer science expert.

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