Summary
The discussion highlights a perceived shift where data scientists and ML engineers are increasingly finding their roles morphing into "AI engineers." This new role focuses more on integrating and applying generalist AI models within existing workflows, rather than the traditional data science focus on developing the core AI models or "engine" itself. The author expresses concern that core model development is becoming an afterthought.
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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