Trentism's definitions
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. Did you hear that he is now one of the newest Teslanaires ? Yes, he is worth $1.4 Million dollars from his investment in Tesla stock.
by Trentism January 13, 2021
Get the Teslanairesmug. Self Rehearsal is a post-reinforcement training phase for Large Vector Models (LVMs) that strengthens conceptual coherence through autonomous vector replay and refinement.
AI context:
During self rehearsal, the large vector model replays its recently reinforced concept transitions to consolidate semantic stability in latent space.
Biology context:
In the human brain, self rehearsal occurs during sleep when neural circuits spontaneously reactivate recent experiences to strengthen long-term memory traces.
During self rehearsal, the large vector model replays its recently reinforced concept transitions to consolidate semantic stability in latent space.
Biology context:
In the human brain, self rehearsal occurs during sleep when neural circuits spontaneously reactivate recent experiences to strengthen long-term memory traces.
by Trentism October 24, 2025
Get the Self Rehearsalmug. Teslaforever describes an investor in Tesla with a stock holding period that is indefinite. They will never sell the equity, extracting funds needed via Margin (borrowing against the equity) or future dividends when Tesla decides to pay dividends in the future.
by Trentism January 16, 2022
Get the Teslaforevermug. 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.