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Middle-skilled engineering jobs are in demand as the focus shifts to optimizing manufacturing processes rather than manual assembly line work.

Human prompt typing speed is increasingly becoming a limiting factor for software development. It's a bottleneck we need to overcome.

We're fostering a unique learning experience by allowing students to engage directly with engineers and founders, integrating real-world experiences into their education.

AI engineering requires strong math skills, which might reduce the competitive moat compared to software engineering.

Elon Musk's management style, which focuses on engineering and direct problem-solving, challenges traditional corporate structures and emphasizes truth-seeking and urgency.

Tim Ferriss emphasizes the importance of making before managing, focusing on creative and generative work before getting into administrative tasks.

There is a need for more investment in STEM education, particularly in core electrical engineering and chip design, to meet the growing demand for engineers.

You cannot stop progress; you can only hope to guide it, especially in the context of AI development.

The Manhattan Project and Apollo missions are examples of successful engineering-led projects within the US government.

AI engineering requires strong mathematical skills, and there is a large pool of talent that can be redirected from other fields like finance.