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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 Inference Optimization Researcher jobs? · Latest report #ec55neib
Your job has an expiration date
May 19, 2027
In 7 monthsYou optimize kernels while the silicon optimizes you out of existence.
Senior Kernel Optimist (loves Triton, dreads memory fragmentation)
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Automated hardware-aware kernel synthesis
shred.you▸ KERNELGEN-X V9▸ RARITY · COMMON▸ DEPRECATION IN 7 MONTHSAI's Special Power
recompiles the entire stack at runtime
You spend your days rewriting CUDA kernels for lower latency and managing KV cache memory layouts. Your work is effectively a suicide note for your own position.
The one thing AI can't do
You can still explain why the obscure hardware bug broke the build at 3am.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Day 10
The system observes your existing optimization workflows to map the entire kernel search space.
Week 6
Automated agents begin drafting and testing variants of your standard attention kernels.
Month 3
The model directly maps layer-wise execution to specific GPU architectures without human intervention.
Month 5
A validation suite catches precision regressions faster than you ever could manually.
Month 7 · D-Day
Your account access is revoked as the system achieves self-optimizing kernel throughput.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 97.3%
42 percent
Kernel latency reduction
too much
Average caffeine consumption
90 percent
Time spent in Pytorch source
Your severance
A lifetime supply of proprietary GPU thermal paste.
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