Phil 5.23.2023

Got the Alienware back and all the new disk space is very nice. Also hooked up a preamp and better speakers 🙂

Idea amplification is the really exciting potential of generative AI

  • Generative AI can amplify creative ideas, allowing individuals to see their creative visions realized without the need for skill or talent beyond the initial spark of inspiration. But one day even those sparks might be generated by AI.

A Computable Piece of Uncomputable Art whose Expansion May Explain the Universe in Software Space

  • At the intersection of what I call uncomputable art and computational epistemology, a form of experimental philosophy, we find an exciting and promising area of science related to causation with an alternative, possibly best possible, solution to the challenge of the inverse problem. That is the problem of finding the possible causes, mechanistic origins, first principles, and generative models of a piece of data from a physical phenomenon. Here we explain how generating and exploring software space following the framework of Algorithmic Information Dynamics, it is possible to find small models and learn to navigate a sci-fi-looking space that can advance the field of scientific discovery with complementary tools to offer an opportunity to advance science itself.


  • There is a large amount of discussion about the idea of Assembly Theory as a way to identify life. Hector Zenil, at Oxford, has been looking at this too, and says that that approach (Identifying molecules as biosignatures with assembly theory and mass spectrometry) is easily falsifiable. He says that Huffman Coding is a better way of doing the same thing. This does make me think that there might be some interesting ways to explore prompts of various substrates (gpt models) on an open-ended prompt like “[optional context]. Once upon a time,”.
  • It could be possible to show that Huffman coding at letter, token, and (stemmed?) word level (also embeddings for sentences) could be getting progressively more complex for the generated responses as the models become larger/better. This could be compared to the sequence that leads from basic chemical reactions to the kind of complex biochemistry that happens in cells.


  • 9:00 Sprint planning
  • 11:00 LM meeting