glossary

definitions without noise. concepts that actually matter.

this is not a dictionary
this is a map

terms here are not explained to sound smart
they are explained so you can use them correctly

what this is

a growing collection of concepts across computing

not organized by hype
but by how systems actually work

you will find:

• low-level mechanics

• network fundamentals

• security concepts

• modern domains (ai, cv)

• forgotten ideas that still matter

how to read this

don’t treat it like a list

pick a term
understand it fully
see where it connects

most mistakes in engineering happen because:
people use words they don’t really understand

structure

this section expands over time

old_school_programming

raw computing concepts

• registers

• memory models

• instruction flow

• bit-level constraints

• overflow, carry, limits

early systems were simple
that’s why they are still the best place to learn

programming

modern abstractions

• data structures

• execution models

• concurrency

• state and transitions

• serialization

what we build today
on top of old foundations

internet_basics

how systems communicate

• dns

• http

• tls

• routing

• certificates

what actually happens
when you open a website

security

trust and failure

• attack surface

• exposure

• misconfiguration

• trust boundaries

• signals vs noise

systems don’t break randomly
they break where assumptions fail

ai

models, not magic

• training vs inference

• tokens

• embeddings

• hallucination

• constraints

modern systems
same old limitations

computer_vision (cv)

seeing through data

• pixels → features → meaning

• detection vs classification

• transformations

• noise

images are just data
until you understand representation

systems

how everything fits together

• distributed systems

• pipelines

• failure modes

• scaling

• coordination

this is where complexity actually lives