the code doesn’t look like idiomatic F#. the hot paths are full of mutable state, spans, and memory-pooled arrays. earlier versions even used raw pointers. F# is first and foremost a functional language, and bending it toward low-level systems programming took some effort. but it does support the constructs you need when performance matters, and the language really shines where it counts most for this project: expressing the algorithms themselves. the core data structure for regexes is a recursive discriminated union, which is a natural fit for F#‘s algebraic data types:
Tech job openings are falling. Hiring rates broadly are weak. And layoffs across the economy recently hit their highest level since 2009—although Zandi makes the distinction AI’s weighing effect on the job market “is due to weaker hiring, not layoffs.” Meanwhile, the National Bureau of Economic Research reports over 80% of firms in recent surveys say there is no impact from AI on employment or productivity over the past three years—yet those same firms forecast AI will boost productivity by 1.4% over the next three years. That disconnect between falling hiring numbers and rising productivity is precisely what worries Zandi and why he considers this a watershed Cortés moment.
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