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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 Sparse Attention Researcher jobs? · Latest report #u7jvtf2w
Your job has an expiration date
November 5, 2027
In 13 monthsSolving O(n^2) scaling issues until the models outsmart your own research.
Deep-learning specialist (mostly math, emotionally struggling with convergence)
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Differentiable intelligence for faster context processing
brr.you▸ ATTENTION OPTIMIZER V4▸ RARITY · UNCOMMON▸ DEPRECATION IN 13 MONTHSAI's Special Power
optimizes attention heads in real-time
Conducts literature reviews on attention mechanisms and refines matrix sparsity patterns. Implements and benchmarks custom CUDA kernels for optimized long-context transformer performance.
The one thing AI can't do
You can still intuit which obscure architectural tweak will cause the training loss to diverge.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Day 10
An agent summarizes all new ArXiv preprints and identifies relevant sparsity innovations daily.
Month 3
Continuous integration pipelines run performance testing across all proposed attention variants without human guidance.
Month 6
Systems begin writing and compiling optimized CUDA kernels that outperform your manually tuned implementations.
Month 9
Automated bayesian optimization agents find global minima for model weights faster than your manual sweeps.
Month 13 · D-Day
The model architecture now iterates upon itself, rendering human research redundant and obsolete.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 95%
Unlimited
Tokens per second
Every
Research papers parsed
Zero
GPU hours wasted
Your severance
A lifetime subscription to your own research archive.
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