A new proposal suggests that complexity increases over time, not just in living organisms but in the nonliving world, potentially rewriting notions of time and evolution. Researchers propose a law where entities are selected for richness in information enabling function, challenging traditional views and sparking debate about its testability and implications for understanding the universe.
A new paper by SFI Professor David Wolpert introduces a mathematically precise framework for the simulation hypothesis, challenging several long-standing claims and opening up new questions about simulated universes.
This study explores how the complexity of rule-based systems affects the capabilities of models trained to predict these rules, specifically focusing on elementary cellular automata (ECA). The research reveals that higher complexity in rules leads to greater intelligence in models as seen in their performance on reasoning and chess move prediction tasks. Uniform, periodic, and highly chaotic systems generally result in poorer performance, indicating a specific level of complexity beneficial for intelligence.
An exploration of advanced Rust programming concepts through a snippet of asynchronous code, illustrating the depth and complexity of real-world Rust development.
Physicist Sara Imari Walker is using principles of physics to redefine the concept of life. She introduces Assembly Theory, which measures molecular complexity to distinguish living from non-living systems. This approach could help detect unfamiliar life forms on other planets and better understand life on Earth.
In this essay, Lance Fortnow, a computer scientist, argues that by embracing the computations that surround us, we can begin to understand and tame our seemingly random world. He discusses how even seemingly random events, like a coin flip or the mailing of a letter, can be seen as computational processes. The essay also touches on the progress made in artificial intelligence and machine learning, and how they are helping us manage randomness and complexity in our world.