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The article argues that software engineering needs stricter regulation and accountability, similar to structural engineering, due to its role in safety-critical systems and the potential for deadly outcomes.
An opinion piece arguing that reproducibility in machine learning research is becoming a lost cause due to the rise of physical AI requiring expensive hardware, unverifiable performance claims from big tech companies, and competitive incentives that discourage authors from sharing code.
The article argues that vague legal disclaimers like 'AI can make mistakes' reduce incentives for AI companies to improve quality, leading to a race to the bottom in hallucination rates.