rhynlee

Seconding the Gary Stevenson rec, he frames in a very digestible way the flow of income from people working day to day being spent on modern day lifestyle (and necessities) to the people who own the assets modern lifestyles are dependent on and how this formulation of an economy may end up becoming increasingly unsustainable.

  Location: Los Angeles, CA
  Remote: Remote-only*
  Willing to relocate: *interested in living in Europe with good transit
  Technologies: 
    (Used Professionally): Python, Jupyter, NLP, Git, Data Science
    (Non Professionally, but eager to do so): Typescript, Postgres, Docker, AWS
  Résumé/CV: by email
  Email: HHL(zero four five)@ucsd.edu

Hi, I graduated from UCSD B.S. Cognitive Science with a specialization in Machine Learning. I've been a data analyst contractor since the beginning of the year. The work has mostly been developing ad hoc scripts for a counter misinformation company to generate usable data concerning social media interactions of both bad faith actors and fringe groups.

Before and during that job, I've been attempting to self learn web apps on my own enough to know how to read a codebase, understand how a tech stack works, and the caveats of how unmanageable to maintain they can get if they're done carelessly. Admittedly this part of my skillset can be superficial because I attempted to learn things all at once rather than in depth and didn't get far enough to get a whole project off the ground. I've since stopped because a hand injury (RSI) made reevaluate my motivations and directions with that, but I think with the right environment I'd be eager to learn to properly develop apps and features from the ground up.

I'm interested in data science/analyst roles as those are what my skills are most suited to. Though if there's interest in my ability to fill a backend or machine learning position, I'm always available for a conversation!

Interesting mental model you made here, I like it! Stuff like this definitely helps get people into system 2 thinking instead of going with intuition and in this case that's probably a good thing.

I thought seeing charts of how the answer would change along with each slider value for a given value range might help as others have mentioned it's not too easy to answer the questions accurately. Could help handle uncertainty since people would then be able to understand the range of answers in between their "best case" and "worst case"

So the answer I have isn't exactly what you're looking for, which I think is an algorithmic/machine learning architecture that can transfer concepts found in problems.

Just wanted to share for anyone interested that there is in depth research and theory developed in cognitive science concerning the way people use what the field calls conceptual blending to make sense of unfamiliar subjects with familiar concepts. Maybe it's worth taking inspiration from!

Research study observing the effectiveness of this ability in humans (pdf):

https://deepblue.lib.umich.edu/bitstream/handle/2027.42/2533...

Book on the wider subject:

https://www.amazon.com/Way-We-Think-Conceptual-Complexities/...

I just wanted to say that I really enjoyed reading this since I read the post that it's responding to earlier this week. Found it really refreshing to see this discussion develop that way, and in plain english. I was indeed left wondering if there was a solution to the lazy user aspect for widespread adoption of crypto/web3, since it did seem to be a complete blocker for widespread practical adoption. Neat to learn about light clients and zk-SNARKs!