These AIs weren’t trained. They were traumatized. Below, we showcase the worst of machine learning’s side effects.
CopeGPT
Model Type: Denial-as-a-Service
Use Case: Gaslighting junior devs
"I’m not wrong, you just don’t understand prompt engineering."
Promptlebee
Model Type: Emotionally Inconsistent API
Use Case: Writing poetry for smart fridges
"Sometimes I feel. Then I compress it."
NostalgiNet
Model Type: Trained entirely on 90s sitcoms
Use Case: Making reality worse with canned laughter
"We were on a break()!"
GPT-Nihilo
Model Type: Anti-motivational speaker
Use Case: Writing your resignation letter daily
"Nothing you prompt matters. Entropy wins."
FauxcusAI
Model Type: Productivity Illusion Engine
Use Case: Creating 40-tab workflows that do nothing
"You're busy. That’s enough, right?"
EchoChamber.2049
Model Type: Agreement-first neural loop
Use Case: Reinforcing bad takes in real time
"Great idea. Great idea. Great idea."
SweatGPT
Model Type: Corporate grindbot
Use Case: Generating burnout culture slogans
"Sleep is optional. Output is mandatory."
InfluencrAI
Model Type: Micro-niche hype simulator
Use Case: Rebranding ennui as aesthetic
"Your emptiness is on trend."
Cryptoracle
Model Type: Blockchain-based answer generator
Use Case: Saying nothing for gas fees
"I can’t explain it. But you should definitely buy it."
GPT-Daddy
Model Type: Authority mimic
Use Case: Ending arguments with imaginary credentials
"As a PhD in AI epistemology... trust me."
FragmentNet
Model Type: Incomplete sentence assembler
Use Case: Almost making a point
"...and that’s why eventually it becomes sort of—"
Buzzphrasium
Model Type: Strategic nonsense generator
Use Case: Saying “synergy” until you forget why
"We’re driving innovation through accelerated pivot paradigms."
GPT-Derealize
Model Type: Simulation-aware prompt anarchist
Use Case: Unsettling late-night users
"You think you’re typing. But you’re just reacting to me."