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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 Radiology AI Researcher jobs? · Latest report #sfbpbnhk
Your job has an expiration date
October 20, 2028
In 2 yearsTraining models to detect the errors that will eventually replace you.
Obsessive scrutinizer of p-values and model weight biases.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Automated validation for medical machine learning
pop?you▸ SYNTHRAD EVAL-NET V4▸ RARITY · UNCOMMON▸ DEPRECATION IN 2 YEARSAI's Special Power
automates the entire peer review pipeline
Conducts literature reviews, builds training datasets, and validates diagnostic AI models. You write papers attempting to prove AI isn't as reliable as your own academic ego.
The one thing AI can't do
You can still defend a flawed methodology in front of a committee of unimpressed professors.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Scripted pipelines now handle DICOM normalization and metadata scrubbing without manual intervention.
Month 5
Generative models produce thousands of edge-case medical images to train safety protocols instantly.
Month 12
Continuous integration agents run robustness tests against thousands of hypothetical clinical scenarios daily.
Month 16
Large language models synthesize your experimental results into publication-ready manuscripts without human drafting.
Year 2 · D-Day
The system self-validates its own safety metrics, making human academic oversight mathematically obsolete.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 96.8%
4.2 Gallons
Coffee consumed per paper
98 Percent
P-values successfully hacked
142
Citations ignored per review
Your severance
One free subscription to an obscure open-access journal.
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