The Relationship Between Local Optimization and Global Optimization

2min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

Local optimization is saying, okay, look around where I'm standing right now. But one step could I take that would get me up as much as possible in that one step? Let me take that one step and then I can repeat that process. Global optimization is like looking at the whole thing on a bird's eye view and trying to figure out where you're getting to. So do you see a connection between those ideas and the forward and backward chaining thing? Yes.

Read the full transcript here.

What is risk-driven development? How should we weigh advice, best practices, and common sense in a domain? What makes some feedback loops better than others? What's the best way to take System 2 knowledge and convert it to System 1 intuition? What are forward-chaining and backward-chaining? When is it best to use one over the other? What are the advantages and disadvantages of centralization and decentralization?

Satvik Beri is a cofounder and head of Data Science at Temple Capital, a quantitative hedge fund specializing in cryptocurrency. He is a big believer in the theory of constraints, and he has a background helping companies find and eliminate major development bottlenecks. Some of his interests include machine learning, functional programming, and mentorship. You can reach him at satvik.beri@gmail.com.

Staff