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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 GPU Workload Optimizer jobs? · Latest report #6smgm99h
Your job has an expiration date
October 23, 2027
In 12 monthsYour scripts are just expensive heat-generation exercises for our new hardware.
Senior Kernel-Whisperer (mostly CUDA, rarely sleeps)
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Total hardware utilization, zero human hesitation.
ow.youAI▸ COMPUTEPILOT V9▸ RARITY · COMMON▸ DEPRECATION IN 12 MONTHSAI's Special Power
reconfigures clusters during low-power cycles
You tweak kernel parameters and shard data across clusters to keep massive GPU arrays running at max utilization.
The one thing AI can't do
You can still intuitively guess which node will fail before the logs even report it.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Sensors identify the exact memory leak you spent all weekend chasing.
Month 3
Smart agents rewrite your manual kernel shaders for better efficiency.
Month 6
Algorithms handle data sharding better than your best bash scripts.
Month 9
The AI decides which GPUs get the heavy lifting tasks.
Month 12 · D-Day
Your terminal access is revoked while the cluster runs perfectly.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 97.2%
4.2 Megawatts
Thermal waste per hour
14 Percent
Human input error rate
11 Minutes
Average cluster downtime
Your severance
A decommissioned server rack and a cooling fan.
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