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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 Applied Scientist jobs? · Latest report #gws8ptvn
Your job has an expiration date
December 16, 2027
In 14 monthsYou are training your own replacement to hallucinate with more confidence.
Senior Gradient Descender (currently over-fitting on vanity metrics)
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Self-optimizing weights for every imaginable loss function.
oof.you▸ AUTOMODELER GEN-9▸ RARITY · COMMON▸ DEPRECATION IN 14 MONTHSAI's Special Power
autogenerates new architectures during your lunch break
You tune model hyperparameters and curate datasets to minimize training loss. You spend all day debugging GPU-bound pipelines.
The one thing AI can't do
You can sense when a model has learned a bias based on flawed data curation.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Scripted pipelines start self-cleaning and labelling your massive unstructured data dumps.
Month 3
Black-box optimizers take over finding the optimal learning rate and depth.
Month 6
Generative agents begin proposing layer structures better than your manual designs.
Month 9
Smart schedulers manage cluster resources without you needing to check queues.
Month 14 · D-Day
The system finishes training itself and sends your resignation letter for you.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 97.3%
82 percent
Time spent on hyperparameters
4 cups
Coffee consumed per epoch
near zero
Model drift tolerance
Your severance
A one-year subscription to the training data you cleaned.
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