by Trentism October 02, 2023
The native, internal language that an AI or large language model uses to think. It's the inscrutable "machine code" of a neural network, consisting of complex vectors, weights, and data relationships that are completely alien to humans.
When an AI's output is weird, nonsensical, or a "hallucination," it's often because a bit of its raw Neurolese leaked out instead of being properly translated into human language. The term was notably used by podcaster Dwarkesh Patel and Sholto Douglas & Trenton Bricken when discussing future AI scenarios.
When an AI's output is weird, nonsensical, or a "hallucination," it's often because a bit of its raw Neurolese leaked out instead of being properly translated into human language. The term was notably used by podcaster Dwarkesh Patel and Sholto Douglas & Trenton Bricken when discussing future AI scenarios.
My custom chatbot was supposed to write a recipe for lasagna, but instead it just gave me a wall of random symbols and half-finished words. It must have gotten stuck thinking in Neurolese again.
by Trentism May 26, 2025
Acceleration of the death of vehicle OEMs due to the Inverse wrights law. For instance if their sales drop by 50% their cost to go up 15% and if their gross margin was originally 20% it would drop to 5% assuming they could not increase their pricing.
by Trentism January 16, 2022
Software 2.0 is software based artificial intelligence and defined by weights in a large language model.
Andrej Karpathy, a prominent Al researcher and former senior director of Al at Tesla, coined the term
"Software 2.0"
Software 2.0 refers to a new paradigm in software development where traditional programming is replaced by machine learning models. Instead of writing explicit code, developers create and train neural networks that learn from data to perform tasks. This approach allows software to solve complex problems like image recognition, natural language processing, and more, by learning from examples rather than following predefined rules.
Andrej Karpathy, a prominent Al researcher and former senior director of Al at Tesla, coined the term
"Software 2.0"
Software 2.0 refers to a new paradigm in software development where traditional programming is replaced by machine learning models. Instead of writing explicit code, developers create and train neural networks that learn from data to perform tasks. This approach allows software to solve complex problems like image recognition, natural language processing, and more, by learning from examples rather than following predefined rules.
Most of the large language models we use aren’t compiled code. They are all software 2.0. The software that full self drives my Tesla is software 2.0.
by Trentism January 11, 2025