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**Interesting connection to AI Training / Research:** The overall approach / objectives of the WBR seem very similar to how Ilya Sutskever described how they approach AI training / research. The focus is less on “new ideas,” and more on understanding the behavior of the system. Here’s the quote:
> “Coming up with new ideas is actually just a modest part of the work. Even more important is to understand the results…to understand what’s going on…figuring out the next experiment to run. A lot of the time is spent on that. Understanding what could be wrong, what could have caused the system (neural net) to produce a result which was not expected.”
The real driver of progress / execution / performance/ superior results comes *less* from the generation of the new ideas, *more* on the ability to understand WHY the outcomes are happening. To put it another way: the better you understand the system, the better your innovation and performance will be.
The Amazon Weekly Business Review - Commoncog
The Commonplace Community
Matsui recalled the advice product thought leader John Cutler shared with him when he first arrived at Amplitude: “The systems and processes that create the product are as much the product as the product itself.” Matsui interpreted that to mean, if a process to launch a new product is subpar or if there are leakages in collecting customer feedback, it becomes challenging to build and ship a compelling product that adds value to customers.
Product Operations
Melissa Perri and Denise Tilles
This section of the book explores a number of fundamental sources of power used in good strategies: leverage, proximate objectives, chain-link systems, design, focus, growth, advantage, dynamics, inertia, and entropy. Obviously, this set is not exhaustive.
Good Strategy/Bad Strategy
Richard Rumelt
...catch up on these, and many more highlights
Readwise