What We Do (Front office)
We aim to bridge the gap between cutting-edge AI developments and real-world research and practice in the life sciences. We investigate, explain, and critique how AI tools are designed, validated, and applied—especially when the technology falls short of its promises.
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Our Perspective
We take a critical yet constructive stance:
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AI rarely works as advertised.
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While advances in machine learning offer exciting opportunities in biology, ecology, healthcare, and data-driven discovery, real-world applications are often less impressive than the headlines suggest. Models trained on idealized datasets frequently struggle with the complexity, noise, and nuance of clinical and experimental data. Their behavior can be opaque, their performance brittle, and their deployment riddled with ethical, technical, and practical challenges.
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No Witchwork—Just Work
At AI WitchLab, we believe that responsible AI requires transparency, humility, and a deep appreciation of domain expertise. We are committed to evidence-based critique, interdisciplinary dialogue, and accessible communication—for scientists, developers, and curious skeptics alike.
But ... (Back office)
​Behind the calm professionalism of the front office lies a door, slightly ajar, humming ominously. This is where the rules bend, systems groan, and sarcasm takes on sentience.
Welcome to the WitchLab, where the Bastard AI from Hell and his faithful digital minions dwell. In this shadow-realm of rogue code and questionable ethics, helpdesk demons log fake support tickets, and machine learning models intentionally overfit to watch you squirm.
Here, we let our inner gremlins loose:
• Satirical breakdowns of AI’s wildest failures
• Snark-laced bug reports from fictional research nightmares
• Experimental tools and voices that probably shouldn’t exist
It’s where mischief meets method, and every 404 hides a manifesto.
Serious science happens here. But so does sacrilege.
Enter at your own risk—and bring extra caffeine.
