fellow experts siz`up each other≈ QQ IV

  • Scenario — Female engineer at an electronics exhibition booth, in the 70’s.
  • Scenario — a passenger falls sick on a flight and two doctors (different countries) came to the rescue. They size up each other to decide who to take the lead.
  • Scenario — two musicians across genres play together impromptu for the first time. Musicians usually are cooperative not competitive though.
  • Scenario — a comp science student visits another campus and logs in on the local network and start exploring (not “hacking”) and encounters local students on the network.
  • Scenario — provincial basketball player coming to a new town and plays a first one-on-one game with a top local player.
  • Scenario — an interesting algo challenge is openly discussed, among programmers from different countries and across industries. A problem to be solved in any language without external tools.

These scenarios are similar to QQ interviews. (Algo interviews are subtly different but mostly similar.) Venkat of OC impressed me with his c++ and c# QQ knowledge.

When fellow experts size up each other … what acid tests can they use? Algo, QQ topics or ZZ topics (I tend to read in my spare time)?

To really size up each other, we need to discuss common topics, not Your or My localsys.

.. but many people only talk about, in vague or high-level terms, how some localSystems were supposed to work, often based on hearsay. They leave out the important details. It’s impossible to verify any of those claims.

When we watch a movie from Europe, India, Korea … we can tell whether it has any international appeal or only limited local audience.  Similarly localSys knowledge has value only within a single company. The expertise I demonstrate in job interviews are relevant across many sites.

If I were a 5Y VP (or ED) I would have self-doubt — am I just a localSys expert or an accredited expert as proven on benchmarks/interviews? Look at Shubin/Steve, the Sprite expert in London, Richard of Quoine ..
Their expertise and value-add can be marginalized in the context of the current mainstream technologies.

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