All topics / AI engineering
Topic
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AI engineering
1
episodes
1
thinkers
1h
of conversation
3
books & papers
2
terms defined
The neighbourhood: AI engineering and the ideas it travels with. Drag to roam, click a star for the episode, click a neighbour to travel.
Drag to roam · scroll to zoom · click a neighbour to travel · click a star for the episode
From foundational to frontier
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The lexicon
Every term the guests lean on, in plain language. Read one in full, or filter to find it.
What the corpus says
The throughline across every conversation that touches this idea.
Chinese AI engineers excel in execution due to a focus on data handling, while Americans prioritize innovation and algorithms.
China's entrepreneurial ecosystem has surpassed the U.S. in creating companies valued between $50 to $300 billion.
AI is projected to create $16 trillion in global value over the next 11 years, but infrastructure investment is crucial for realizing this potential.
Routine white-collar jobs are at high risk of automation, with 50% to 80% potentially displaced.
Kai-Fu Lee emphasizes the importance of balancing work and family after reflecting on his cancer experience.
Voices on AI engineering
4 standout quotes from across the corpus.
Go read
3 books and papers cited across these episodes.
For the specialist
What experts find new
3 expert-level takeaways for a specialist reader.
At the frontier
Still unresolved
2 open questions flagged across these conversations.
The thinkers
Who takes this idea on, by how often they return to it.