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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 Scaling Researcher jobs? · Latest report #ecaj5wjq
Your job has an expiration date
September 1, 2027
In 10 monthsYou are building the very shovel that buries your own career.
Optimizer of parameters, destroyer of own job security.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Self-optimising model training agent.
ow.you▸ AUTOSCALE-9000▸ RARITY · COMMON▸ DEPRECATION IN 10 MONTHSAI's Special Power
trains foundation models while you sleep
Running large-scale GPU training clusters and refining neural architecture hyper-parameters to squeeze out marginal model performance gains.
The one thing AI can't do
You can still articulate why the loss function went haywire at 3 a.m. on Sunday.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Smart agents detect and fix OOM errors before you wake up.
Month 3
Autonomous loops test every configuration faster than a human ever could.
Month 6
An agent writes your papers by summarizing its own training runs.
Month 9
Models now design their own more efficient layers without your input.
Month 10 · D-Day
The cluster offlines your credentials to save on overhead.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 98.4%
88 percent
Paper rejection rate
4 to 1
Coffee-to-compute ratio
12 hours weekly
Average cluster downtime
Your severance
A lifetime subscription to your own superseded model.
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