01. Future of Documentation

Disclaimer: There is no doubt about it that LLM's have been leveraged to write down the Deternet project structure even though it ground work was already created before LLM's were available to the general public. As with any sector LLM's have deeply changed the documentation landscape in many different ways. Today and even more in the future documentation in human readable form for any project will be written by AI. The job of the human expert is then to check if what the AI has written is actually correct. 

Hence, you will not get rid of human technical writers but the job changes from being a writer to being a controller if everything is correct and adjust if something is wrong. You could compare it to a pilot that always flies on automatic pilot but needs to constantly check if everything goes according to plan and adjust if something goes wrong.

To better illustrate this we can look at how LLM's can now write documentation for code that has been created by another AI with a human in the loop. The workflow goes like this in the sense of spec driven development with documentation included.

The whole application, website is created by AI but guided and structured by humans Then each time code is ready according to the human expert it will ask the AI to write documentation for the newly written code Then it will ask for new features, evaluate the code and will ask it again to write documentation for it.  Then the process repeats

Diagrams, Graphs, Work Flows, Etcetera

Instead of you manually taking data and making diagrams, graphs, work flows, charts and other forms of representing data you can let your 

Analysis of the data

1. All the data created can be used together to look for correlations and you can easily do comparisons with different years, percentages, and take extra data from the internet as well to compare with multiple countries for instance or how would this data likely change if we increased variable x or included variable y.

Documentation for Network Engineers

Yes, all documentation is checked by humans before it is published on any Deternet society or hub. But people in the field will more and more use AI agents that can 

Monitoring Systems

People in the field will have the skills to lay the cables, and to splice the fiber, connect it to the right ports, but more and more can be standardized like OPNSense routers, switches, wap's and more. All this knowledge needs to be collected in a central place and updated constantly. 

How is information retrieved

Most often engineers will not move to any of the documentation pages if the documentation is already included in a large LLM or small models can be created completely focused on laws and regulations inside a country or region. Basically, the AI is reading the docs and people have conversations with documentation instead of manually searching through it. Even though, myself I catch myself manually search most of the time anyways.

 

 

TeachersUniversities

The future of teaching is to private AI tutors. It is clear by now that people can learn much more from a private AI tutor, tailored for them instead of in a general class room.

1. Personally Tailored programs. A student coming from mathematics can already skip certain courses e.g calculus and linear algebra if it wants to switch to a physics degree for instance. On top of that a student will only move on to the next subject if it understand the prerequisites well enough to move on.
2. Standardized examination:

Universities Instantand Feedback:schools Whencan share their examination questions in one big pool for a particular subject. Then an AI is

Prompt:trained Ifto youmake leavesimilar questions out socialof skills,it. enthusiasm,These accountability,can then be examined 

Story Telling: An AI tutor can tell the story of the life of an inventor, scientists and researchwhy things were revolutionary, out of the equationbox whate.g math duels for instance. In this way a student learns by evolution and not just learn tricks on how to solve things without understanding where they came from.  Instant Feedback and personalized pacing: An AI tutor can provide instant feedback for any question you are dealing with inside a curriculum. Regardless if it is still2 in the benefitnight ofor getting2 lecturesin the afternoon in the weekends.  Scheduling: It could schedule for you during your day when you can learn and at awhich universitymoments fromyou aneed professorhave comparedcertain skills s.t you can be ready for examination at the due date.  Traditional Universities may soon become more primarily credentialing institutions that you have the skills that you say you have rather than knowledge delivery systems as it was back in the days.  It allows remote learning without being stuck to a privatephysical tailoredplace. LLM tutor. Also this LLM tutor created a program for you that makes sure

What it teachesdoes younot first the prerequisites before moving on to another subject. For instance first calculus and then thermodynamics in a physics program for instance. Also standardized testing is included by taking exams from top universities and combine them together for training data on a specific subject. 

Private LLM Tutors as the Superior Alternative

When credentialing and social accountability are set aside, private LLM tutors represent a fundamentally more efficient learning system.

do

1. TheyInstead eliminateof the artificialuniversity constraintsholding you accountable for studying it is the AI that will hold you accountable. It is of universitycourse scheduling,a cohort-basedlot pacing,easier andto one-size-fits-allprocrastinate curriculumif design.it is an AI bot that you can just turn of. Even though lectures are not mandatory they do hold you more accountable to show up for certain events. 
2. ADeveloping studentsocial canskills: masterThis prerequisitesis completelya beforemajor advancing,one! receivebasically personalizedcreating explanationsfriends thousandsand go through the same struggle together. This is some real bonding and creates lots of timeslaughs withoutand impatience,empathy anddevelopment. follow a curriculum optimized purely for their understanding rather than administrative convenience.
3. TheEnthusiasm abilityand Passion from other class mates that make you want to compressstudy yearswhat ofyou universitystudy. courseworkIn intothe monthsend ofas focused,greatly frictionlesssaid learning—withby standardizedChristopher examMcCandless: validation—suggests"Happiness thatis traditionalonly universitiesreal maywhen soon become primarily credentialing institutions rather than knowledge-delivery systems.

For learners motivated enough to work without external accountability structures, private LLM tutoring is simply the more rational choice.shared"

Your setup actually has serious advantages: perfect prerequisite sequencing, unlimited patience, personalized pacing, and instant feedback. Universities don't do this well—students often hit calculus or thermodynamics before they're ready, with no mechanism to loop back and shore up gaps without repeating entire courses.