Trentism 's definitions
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
Get the Software 2.0mug. by Trentism May 9, 2021
Get the I’ll pull upmug. A neural architecture that performs semantic compression using nuclear diversity preservation, operating in pure vector space to bypass linguistic tokenization while maintaining conceptual understanding. The system compresses high-dimensional embeddings (e.g., 384D → 256D) through a teacher-student knowledge distillation framework that employs extreme weighting to prevent mode collapse, creating mathematical "semantic GPS coordinates" where related concepts cluster in measurable dimensional neighborhoods.
The Latent Neurolese Semantic Encoder achieved 6x inference speedup and 35% memory reduction while maintaining 63.5% semantic preservation through its nuclear diversity training methodology, demonstrating that AI systems can reason directly with compressed mathematical concepts rather than linguistic tokens.
by Trentism July 9, 2025
Get the Latent Neurolese Semantic Encodermug. 8 Figures is a reference to having accumulated >10 Million dollars but less than 100 Million.
10,000,000 = 8 digits
10,000,000 = 8 digits
by Trentism December 8, 2020
Get the 8 figuresmug. Reinterpreting Physics Through a Simulation Lens
This thought experiment explores the possibility that fundamental laws and constants of physics are not intrinsic properties of a naturally evolved universe, but rather emergent properties or resource-saving shortcuts implemented within a parent simulation
This thought experiment explores the possibility that fundamental laws and constants of physics are not intrinsic properties of a naturally evolved universe, but rather emergent properties or resource-saving shortcuts implemented within a parent simulation
The Heisenberg uncertainty principle is more likely digital physics 2.0 than naturally evolved physics (NEP) thus more likely resource-constrained simulation (RCS) phenomena.
by Trentism January 11, 2025
Get the Digital Physics 2.0mug. The quirky, often-flawed but curiously coherent dialect you get when an AI translates its inner language—known as Latent Neurolese—into human English. Think uncanny metaphors, oddly specific analogies, and sentence structures that feel like they just passed through an alien’s poetry workshop.
It’s not a bug—it’s an accent. The linguistic vapor trail of how the machine thinks behind the curtain.
It’s not a bug—it’s an accent. The linguistic vapor trail of how the machine thinks behind the curtain.
by Trentism June 19, 2025
Get the Ainglishmug. A bidirectional component that converts human language inputs directly into high-dimensional semantic vectors and reconstructs human-interpretable outputs from those vectors, bypassing traditional tokenization. Unlike a tokenizer—which segments text into discrete linguistic units—the Neuralator enables concept-native processing by preserving semantic relationships in compressed vector form.
Sometimes spelled: Neurolator
Sometimes spelled: Neurolator
In contrast to BERT’s tokenizer, the LN system uses a Neuralator to encode and decode conceptual information without relying on syntactic fragmentation.
by Trentism July 9, 2025
Get the Neuralatormug.