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4 months agoThe Infinite To-Do List: AI Could End Busywork (But It Probably Won't)
Technological advancements predicted to reduce work hours have led to increased busyness instead.
Causal AI reorients your approach from static prediction to rolling recalibration. Its strength isn't just in making predictions; it emphasizes real-time adjustments based on current data, improving responsiveness to market changes.
The transformer architecture can efficiently learn representations for time series data by treating time series sub-sequences as tokens, significantly simplifying the modeling process.