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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 Geometric Deep Learning Researcher jobs? · Latest report #uvb9v4s6
Your job has an expiration date
October 17, 2027
In 12 monthsSolving non-Euclidean manifolds while your career collapses in flat time.
Math-heavy researcher with a penchant for high-dimensional pain.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Generating breakthrough topologies before you finish coffee.
split.youAI▸ TENSORLOGIC AUTO-ARCHITECT 9000▸ RARITY · COMMON▸ DEPRECATION IN 12 MONTHSAI's Special Power
derives optimal graph architectures in background loops
You write custom kernels and graph neural network architectures. You optimize hyper-parameters for geometric manifold learning.
The one thing AI can't do
You can still articulate the specific intuition behind a failed mathematical hypothesis to another human.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Symbolic AI agents begin optimizing your model layer architectures automatically.
Month 3
Custom CUDA kernels are now auto-generated by your own framework.
Month 6
The system writes and tests papers faster than any human committee.
Month 9
Research funding shifts exclusively to compute-based iterative auto-discovery.
Month 12 · D-Day
You are invited to review the machine's summary of your life's work.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 97.2%
82 percent
Average paper rejection rate
14 weekly
Hours spent fighting CUDA
100k dollars
Compute cost per discovery
Your severance
A one-year subscription to a GPU cloud provider.
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