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Tumblr Sexyman 

"broker is such a tumblr sexyman"
Tumblr Sexyman by inuusak February 22, 2024
Related Words

Duncan Seaman

A character in a hypothetical alternate version of I2-3 conceived by Ace Attorney Circlejerk members

In this better version, Artie Frost (or Issac Dover in the ethical translation) would be named "Duncan Seaman" and he would be dunked in a cum fountain instead of a water fountain
what if the fountain in i2-3 was a cum fountain and Artie Frost wad called Duncan Seaman
Duncan Seaman by Eyacorkett June 1, 2025

Anti-Semantic

When people are upset by the choice of words you use. Can be used as a noun or adjective.
For example, if you were to use “death” to describe “dismantling an institution”, and someone takes offence. They were to say, “hey saying death to an institution is just as bad as murdering babies and committing genocide.”You could call that person an Anti-Semantic. Or you could say their views are Anti-Semantic.

Poundbob sexpants

Spongebob SquarePants but sexual, used for porn mostly.
“Yeah I was just looking at poundbob sexpants on Twitter. Crazy the things people can find sexually pleasing”

Scheming for Seman

A girl/guy who is on a mission to get laid by any means necessary
Guy 1: Hey I think you have a good chance getting with Rebecca tonight

Guy 2: What makes you think that?
Guy 1: She is scheming for seman bro, she will get with anyone
Scheming for Seman by Dog gone snoop February 27, 2020

Latent Neurolese Semantic Encoder 

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.