Personality is not a system prompt.

We’re on a mission to eradicate AI slop.

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Read our path

The Problem

Mission: Prevent 1984.

Our consumption of AI is shifting our collective language towards AI-isms, whether we like it or not, and it's up to us to determine whether those AI-isms are hidden gems of the English language or lowest common denominator tropes that pull us down as a species.

The SFT objective — the loss function behind the problem:

L_SFT = −∑_t log p_θ(y_t | x, y_<t)

SFT installs the voice, RLHF amplifies it.

Research

What is slop? To find out, we catalogued 'AI-isms' across the levels of linguistic taxonomy.

See our Research

syntax

"This isn't just a productivity hack. It's a philosophy." negative parallelism

graphemics

"the model — trained on public data — held up." parenthetical dash

discourse

"Choosing between Postgres and MySQL is an important decision for many engineering teams." CARS move 1 (Swales)

pragmatics

"Great question! This really gets at something fundamental." face-flattering act

Vision

Token-accurate personas and digital twins

Every AI persona you’ve ever interacted with has been an Assistant. We’re creating a world with believable personas and token-accurate digital twins.
Restore the loss of linguistic diversity for post-trained model outputs.

imagining a world where AI augments our use of the English language to communicate information, rather than constraining it.

Team

Built by Cody Hergenroeder and William Wang.
Contact: hello@sloplabs.tech

Meet the team

Personality is not a system prompt.

The Problem

Research

Vision

Token-accurate personas and digital twins

Restore the loss of linguistic diversity for post-trained model outputs.

Team