BS Detector

BS Detector

AI Developed, Experimental Language Analysis

1 follower

The Bullshit Detector is an experiment that aims to give people a tool to determine the likelihood of a particular piece of text being bullshit. It scales the results from 0 to 100 with 100 being absolutely, positively, the gold standard for bullshit.
BS Detector gallery image
BS Detector gallery image
Free
Launch Team
Wispr Flow: Dictation That Works Everywhere
Wispr Flow: Dictation That Works Everywhere
Stop typing. Start speaking. 4x faster.
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What do you think? …

Aditya
@foreignsmoke just for the sake of it, I tested Zuck's announcement post text https://www.facebook.com/zuck/po... and the result... 😬😬
Foreign-Smoke
I received access to this pretty entertaining ML tool and wanted to share it here. It's still in the early stages so any data you want to input is good data! Username: BSTester Password: WhatsThatSmell2020 It's all for fun so take the results with a grain of salt. Enjoy and share any findings you think are interesting! "The Bullshit Detector's architecture is a Recurrent Neural Network with Gated Recurrence Units (GRUs). Additionally, in order to mitigate bias and boost generalizability, we employed a semi-supervised training approach. Model A employs straightforward supervised learning on ~100k texts, and model B employs semi-supervised learning on about ~40k texts. We advise experimenting with both models A and B. This will help us literally A/B test the two models. Due to the black-box nature of neural networks, we are unable to perfectly digest the model's classification into humanly understandable rules or criteria. But when we have developed an AI that can interview the AI behind Bullshit Detector, we will let you know and post the conversation."