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If you've actually mastered that quadrant - why would you be an engineer? Learn fundraising too (which in this environment is super-easy if you're AI-related, I've heard multiple reports of people in their 20s being offered $5M+ in seed funding if they start a company that has "AI" in the name) and make them acquire you. If you've got management and sales skills your startup might even succeed before they acquire you.




Being an engineer and being contextually intelligent are not mutually exclusive. Understanding context is necessary for being an effective lead engineer, for instance. Without sufficient context, you cannot make effective technical decisions.

The purpose of a technology is not inherent to the technology itself, but externally determined, and without knowing context, you cannot know the purpose, and if you don't know the purpose, you won't know which way to go, and without knowing the terrain you have to navigate, you won't know how to get to your destination or how to prioritize your work. Strategy and tactics become impossible.


Can someone explain the VC economics behind this during a bubble. Is it

1. Funding for other projects gets diverted to AI

2. Traditional VCs see potential for greater risks, rewards and increases portfolio

3. Funds available to traditional VCs expands ?

4. New VCs jumping on to the hype train.

Is it any of the above or did I miss the mark completely.


All of the above including the regular rotation of realized gains into early stage AI startups.

Rinse and repeat.




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