Retrieving the file
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 Storage Systems Developer jobs? · Latest report #v7kg79di
Your job has an expiration date
December 16, 2027
In 14 monthsYour custom CUDA kernels are just glorified wait-states in silicon form.
Still waiting for the asynchronous transfer to finish.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Unclogging your I/O pipelines without the ego.
no no noyouAI▸ KERNELOPTIMIZER AI-X▸ RARITY · UNCOMMON▸ DEPRECATION IN 14 MONTHSAI's Special Power
rewrites your driver code during compilation
You optimize GPU-to-storage throughput and handle asynchronous I/O bottlenecks. You waste hours debugging driver compatibility and cache coherency while the hardware waits for you.
The one thing AI can't do
You can still explain why the build broke at 3am due to bizarre firmware interactions.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Day 10
The system begins identifying your least efficient data transfer paths with zero human input.
Month 3
Self-optimizing AI models automatically generate cleaner, faster kernels for your storage controller logic.
Month 6
Automated regression testing suites replace your manual validation of vendor firmware updates.
Month 9
Unified neural drivers handle all memory management without requiring your specific hardware knowledge.
Month 14 · D-Day
Your access tokens are revoked as the server cluster achieves total storage performance dominance.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 96.4%
99.8%
Kernel latency reduction
Zero
Manual debugging hours
Non-existent
Coffee consumption efficiency
Your severance
A decommissioned GPU heatsink and a commemorative binary file.
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