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Live· 4,218,906 positions deprecated· 4,218,906 deprecated· 1,284 today
Average time-to-redundancy: 11.3 months
Know before your role does.
pssst. this is to sign up for updates on the game ;)
Will AI replace Reinforcement Learning Environment Developer jobs? · Latest report #5yigwkdp
Your job has an expiration date
January 14, 2028
In 15 monthsTraining an AI to train an AI is peak redundancy, friend.
Professional architect of the digital sandbox you're currently in
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Simulation self-assembly for infinite training loops
sluurp.you▸ AUTOENV-GEN 9000▸ RARITY · COMMON▸ DEPRECATION IN 15 MONTHSAI's Special Power
autogenerates hyper-optimized training environments in milliseconds
You write Local Management Programming Scripts to define RL simulation boundaries. Soon, models will generate their own environments, making your custom scripts obsolete.
The one thing AI can't do
You can still intuit the exact moment a training reward function starts hallucinating chaos.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Our scraper ingests your existing script library to map your specific coding patterns.
Month 4
AI-native templates replace your manual JSON configuration files with adaptive auto-generated structures.
Month 8
A Large Environment Model begins generating reward functions that perform better than your baseline scripts.
Month 12
Our platform autonomously runs unit tests on generated simulations, removing your need for manual debugging.
Month 15 · D-Day
The system disables your IDE access and self-optimizes every environment on the fly.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 95.8%
100%
Custom Script Redundancy
0.02ms
Environment Synthesis Latency
Infinite
Human Logic Overhead
Your severance
A lifetime subscription to the simulations you once built.
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