Mappers vs Packers

“knowledge packets” - little bits of truth (or errors) that we possess.

most learning are almost entirely on the acquisition of knowledge packets

things that one should or should not do.

data to be retained and later recovered on demand

we don’t just stack up knowledge packets

to gain each new knowledge packet we ask “why”

a mental map gives us understanding of cause and effect within a situation.

this understanding allow us to derive a solution to any problem within the situation, instead of attempting to select a rote-learned response.

mathematicians call “isomorphism”, machine learning calls “invariance”, where you can reapply knowledge

we rearrange our mental maps to product simpler expressions, we find it hard when the topic seemed complicated

abstract pattern recognition

without reflections, there can be no mental maps, only knowledge packets.

reflection is daydreaming

packing is when you stop youself asking “why”

rote-learned memory - memória aprendida

rote-learned response - resposta memorizada

you try to find a knowledge packet that fits your situation.

without a big map means that you often don’t understand what is happening

packers are overly concerned about certainty. they don’t want to fix their mental model, they wanna validate that their mental model is correct.

people are unwilling to think about something unless they are “certain”

you fear of being found to be in the wrong

they cannot believe that anything can be achieved unless someone else spells out in exact detail how to do absolutely everything

Shares tags with

Abstract NodeYou can model knowledge as a graph of nodes of concepts/ideas When you abstract 2 or more ideas in a more general concept finding the edges among those nodes This will make show…
AtomWe can use atom to describe something that is minimal and indivisible We can have an atom of state like redux recoiljs We can have an atom of thought as Roam and Zettelkästen uses…
Being wrongYou can be wrong in many situations Make sure to always revalidate your ideas on new information like Bayesian approach P(A I): your probability of something should changed based…
Bidirectional note takingCreate a note for the source (book) Create a note for each idea/concept of the source For instance, a note for Make it Stick A note for spaced learning A note for interview…
Bleeding edgeedge Bleeding edge is the state of art of something It is the new technology When you focus on bleeding edge (new), you have an advantage as everybody start in a clean slate. You…

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