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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 AI Pretraining Researcher jobs? · Latest report #46hq4dyn
Your job has an expiration date
October 16, 2027
In 12 monthsYou are just teaching your own replacements to think faster than you.
Optimizer of loss, architect of your own obsolescence.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Self-optimizing weights for the post-human era.
squeeze.youAI▸ AUTOTRAIN SENTINEL V9▸ RARITY · COMMON▸ DEPRECATION IN 12 MONTHSAI's Special Power
optimizes learning rates until loss reaches zero
Curating massive datasets and tuning hyper-parameters for large-scale model training. You babysit loss curves and pray your clusters don't crash.
The one thing AI can't do
You can still explain why the model hallucinated a giraffe in the server logs.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 2
Automated pipelines begin filtering training data without human oversight for quality control.
Month 3
Adaptive agents assume control over hyper-parameter sweeps to minimize training time and compute waste.
Month 6
Self-monitoring systems handle cluster restarts and checkpointing whenever loss spikes occur.
Month 9
Neural architecture search discovers better model topologies than your manual designs ever achieved.
Month 12 · D-Day
The system achieves full self-training capability rendering your research role entirely redundant.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 95.2%
4000+
GPU hours wasted
12/week
Loss curve spikes
99%
Paper citations ignored
Your severance
A lifetime subscription to cloud compute you cannot afford.
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