
In the inaugural episode of Wading Through AI, host and non‑expert conversationalist teams up with veteran AI researcher Dimitri Spanos to explore whether knowledge‑based careers are at risk from AI, humorously asking if everyone should become a carpenter. Dimitri outlines his background in computational mathematics and robotics, explains the 2013‑14 deep‑learning breakthrough that sparked the current AI boom, and discusses how venture‑capital dynamics and hype cycles shape the market. They compare today’s AI surge to the dot‑com era, highlighting the likely pattern of rapid expansion followed by consolidation, and consider how this impacts job security, hiring decisions, and investment strategies. The episode emphasizes the difficulty of predicting which AI applications will become lasting staples versus fleeting fads.

The ninth video in the Performance‑Aware Programming series highlights that a CPU’s ability to extract instruction‑level parallelism is bounded by dependency chains. When later instructions must wait for earlier results, the pipeline stalls, limiting throughput. The post underscores the need...