Neurolese

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.
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
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Ainglish

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.
“That sentence was weirdly profound and slightly broken… definitely Ainglish.”
by Trentism June 19, 2025
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spiffy pop

Spiffy-pop; Regarding equity’s such as Stocks, a spiffy pop is when your original purchase price is gained in a single day.
I.e. you bought TSLA for $50/share and it goes up $50 in a single day usually in the distant future. Previous Close; $755. Current Price $806. So your gain is a spiffy pop.
by Trentism January 07, 2021
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Multimodal Tokens

Multimodal Tokens: A Unified Representation for Simulated Realities
The simulation hypothesis posits that our reality could be a computer-generated simulation. This paper explores the concept of "multimodal tokens" as a fundamental data structure within such a simulated environment
Multimodal Tokens will soon replace language based tokens in future multimodal models in artificial intelligence.
by Trentism January 16, 2025
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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 09, 2025
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Tod

Tits On Display. A girl showing her assets as her center piece usually using a revealing top and a push-up bra.
I’m going to talk to that TOD at the bar.
by Trentism November 09, 2021
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Digital Physics 2.0

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
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
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