Check the first five minutes about, how he is working and I don't mean the honest eggs, but for real the use of computing tools.
They have Apple Computers, known by them for their ease of use and otherwise for their very stable operating systems. Then, they also have a high performance pocket computer called a Mobile or Cell Phone.
He uses paper and a pen to draw something, because it is more convenient.
Apple are those that are best in breaking down software use into easy use, yet nothing beats a pen and paper for most.
There are systems out that turn pen written content into computer content, by even Montblanc and they ain coming cheap. Using a touchscreen laptop and a screen pen with a small rubber head does about the same.
Then the actually needed automation starts and there is none. The Entrepreneurs in that lifestyle Vlog will have paper notes they eventually trash, emails, what's app chats, no recordings of their meetings most time and thereby no transcripts neither and a lot of PDFs and MS Word documents freaks like me refer to as .doc and .pdf.
They most likely won't be able to understand the difference between .doc and .txt, .rtf and leave me here all alone at .md, but the pain of merging .pdfs into one which needs extra software while copy and pasting email content, once, and then never again.
Knowledge Management never made it big even so there is a DIN Certification out that does make a lot of sense. IBM, the CIA hardware company, even went so far to bluntly lie about them being into KM for 20 years as professionals in order to sell off Content Management Systems, but failed to create a hype in a hype greedy world.
The big guys face three problems:
1. Sharing Knowledge means getting fired eventually no matter the words
2. Hundreds of different file formats
3. User
I bet that none of those in the Vlog have a dedicated housekeeping schedule to clean up their computer files and folders. Instead they all wait for the AI app that helps them find something in their data dump which is their computer, mobile and most likely some cloud space.
How many Windows user figure out that in their File System one folder is online??
The moment the internet in the Hotel room does not work...
Somehow most don't learn the Computer as a tool and therefore never Distributed Computing at all.
The YUPY there, Young Urban Professional with a Y to pronounce it at the end, could have a system based on existing technology that combines their most important tools, the Computer and Mobile and Cloud Service. He could have an integrated system that enables him to have like in Wiki with its hyperlinks in blue direct access from an Email he reads to the related Power Point he saw or made at that meeting related to the business deal and on a click open the related documents with even the spreadsheet about the business forecast from his CFO or equivalent.
He'd had to stick to a clean folder structure at least to have that, like him at home taking off the street shoes before entering the living room at a dedicated place.
To connect these files he most likely has today to search inbetween each step for about a minute to about three minutes based on memory. If he also starts trying to show a power point on his mobile as a second screen, while looking at the word document at the lap top screen we can add another ten minutes maybe cutting down to also just another minute having been gotten used to it.
Overall this this still adds up to a significant amount of time over just a week.
Imagine my Managers face when I found on my Computer intel from projects weeks and months ago in less then a minute by just clicking and reading the file names.
Why do you use notepad, we have Word?
....
AI won't fix that and stay a chat bot if the base is not changing. AI will fall short, just like Computers, of its capability for most.
#cyberpunkcoltoure
PS: Sorry Commons. I keep forgetting what I am:
How much faster loads a txt file into notepad than a word document into word by clicking on the file name while looking at the directory in File Browser?
Thinking
Searching
A .txt file loads into Notepad significantly faster, often appearing nearly instantly, while a .doc file can take anywhere from a couple of seconds to minutes to load into Word, making the text file up to ten to hundreds of times faster to open in typical scenarios.
Thinking
Searching
A .txt file loads into Notepad significantly faster, often appearing nearly instantly, while a .doc file can take anywhere from a couple of seconds to minutes to load into Word, making the text file up to ten to hundreds of times faster to open in typical scenarios.
Comparison of Loading Times
File Type Application Typical Loading Time (on standard office PC)
.txt Notepad Less than 1 second (often instantaneous)
.doc Microsoft Word 2 seconds to over a minute, depending on factors
File Type Application Typical Loading Time (on standard office PC)
.txt Notepad Less than 1 second (often instantaneous)
.doc Microsoft Word 2 seconds to over a minute, depending on factors
Reasons for the Difference
The primary reasons for the vast difference in speed relate to the simplicity of the .txt format versus the complexity of the .doc format and the applications that open them:
The primary reasons for the vast difference in speed relate to the simplicity of the .txt format versus the complexity of the .doc format and the applications that open them:
Application Complexity: Notepad is a very small, lightweight application with a minimal memory footprint and very little functionality. It starts almost instantly. Microsoft Word, on the other hand, is a large, resource-intensive word processor with a vast number of features (formatting, images, tables, macros, etc.), which requires substantial time and system resources to load and initialize.
File Format Simplicity: A .txt file contains only plain unformatted characters. When you double-click it, the operating system simply opens the lightweight Notepad program and streams the raw text into memory.
File Format Complexity: A .doc file is a complex binary format that is more than just text. When you double-click it, Word must parse the entire file, interpret all its formatting, styles, images, macros (which can cause delays if they run on open), and other embedded objects before the document is ready for interaction.
Application Startup Overhead: The delay when opening a file from File Explorer includes the time it takes to launch the associated application if it isn't already running. Word takes considerably longer to launch than Notepad.
System Factors: Performance is also heavily influenced by hardware (SSD vs. HDD), available RAM, network access (if files are on a shared drive), and even the default printer settings, which can all add significant delays to Word's load time.
In a direct comparison of a small, simple file of each type, the .txt file/Notepad combination will feel instant, while the .doc file/Word combination will have a noticeable delay.
File Format Simplicity: A .txt file contains only plain unformatted characters. When you double-click it, the operating system simply opens the lightweight Notepad program and streams the raw text into memory.
File Format Complexity: A .doc file is a complex binary format that is more than just text. When you double-click it, Word must parse the entire file, interpret all its formatting, styles, images, macros (which can cause delays if they run on open), and other embedded objects before the document is ready for interaction.
Application Startup Overhead: The delay when opening a file from File Explorer includes the time it takes to launch the associated application if it isn't already running. Word takes considerably longer to launch than Notepad.
System Factors: Performance is also heavily influenced by hardware (SSD vs. HDD), available RAM, network access (if files are on a shared drive), and even the default printer settings, which can all add significant delays to Word's load time.
In a direct comparison of a small, simple file of each type, the .txt file/Notepad combination will feel instant, while the .doc file/Word combination will have a noticeable delay.
Now imagine you have a set of txt files that contain a summery of links to copy and paste and file names with descriptions for each project. Even if you give the files good names you most likely will have several files for each project and certainly used the same what_ever over several projects.
That means looking for something, especially if it includes connecting the dots, you will have to open and close a set of files.
That means looking for something, especially if it includes connecting the dots, you will have to open and close a set of files.
It sais: txt opens almost instantly in notepad on windows.
This is a typical file for me:
Nexus Production.txt
So, the wiki wont contain information about that project. The obsidien deck needs first a cluster and was designed to talk about the obsidian notes. I'd need a RAGing script for the Obsidien notes just as the wiki RAGed script to be able to actually search the notes. I think I have to change the architecture.
So, think with me, please.
I have a wiki RAGed AI that has a wiki dump and additional books as data points. That is powerful and specific.
I have an Obsidan Deck to structure and search my DeepSeek chats using also Obsidian the software. This has an AI function to give me summaries of the notes after having clustered them. That is great to find structure in the notes.
I now can also show specific notes which lets me read specific ones.
I have no RAGed AI like for Wiki that uses the notes.
I have no database with graphical GUI for the documents, but I should be able to search all documents with the existing scripts with commands like doc stats even so its missing the wiki files for now.
I have to understand better how I will work with the system.
Wiki AI
Obsidian-Deck
Document Registry
Obsidian RAG
C_googlesearch.py O_textextractor.py
phi:2.7b-chat-v2-q4_0 all nodes
192.168.178.30 node1 raspi5 #gemma2:2b
192.168.178.31 node3 raspi4 #no ollama use
192.168.178.26 node5 X260 #llama3.2:3b; qwen2.5:3b
192.168.178.36 node2 420 #offline
192.168.178.33 node4 920 #llama3:latest; deepseek-r1:7b
---
NODES = {
"load_balancer": {
"url": "http://localhost:11435/api/generate", # ← Use port 11435
"models": ["phi:2.7b-chat-v2-q4_0"],
"user": "j4v"
}
}
----
/home/jv4/Pooled-Storage/
├── DeepSeek_html/ # Raw HTML files (input)
├── DeepSeek_md/ # O_html_parser.py output (basic .md)
├── Obsidian/ # O_convert_to_obsidian.py output (enhanced .md)
└── Vault/ # Final home for polished notes
O_AIparser10.py (or O_html_parser.py):
O_convert_to_obsidian.py (metadata enhancer):
O_filename_generator.py (final polish):
O_AIparser10.py
download_dir = Path("/home/j4v/Pooled-Storage/DeepSeek_html")
output_dir = Path("/home/j4v/Pooled-Storage/DeepSeek_md") # Existing folder!
O_convert_to_obsidian.py
input_dir = "/home/j4v/Pooled-Storage/DeepSeek_md" # From step 1
output_dir = "/home/j4v/Pooled-Storage/Obsidian" # Existing folder!
O_filename_generator.py
VAULT_PATH = "/home/j4v/Pooled-Storage/Obsidian" # Input from step 2
# This script should output to /home/j4v/Pooled-Storage/Vault directly
load balancing system
[Knowledge System]
├── aDeepSeek Chat Processor (batch) Obsidian-Deck (several scripts)
├── bRAG-AI 1 (specific content) Obsidian
├── cRAG-AI 2 (website parsing) Wiki OpenLibrary Books Web
├── dRAG-AI 3 Chats RAGed abcd
├── eMulti-source Database Content listings to open files
└── f[Future: Coding AI, Essay AI, Simulation AI]
DeepSeek Chat
→ RAG-AI (analysis)
Obsidian RAG Chat
Wiki OL Web RAG Chat
→ Specific-AI (validation)
Obsidian-Deck talk about notes
Obsidian RAG Chats
Wiki OL Web RAG Chat
→ Website Parser (context)
→ Database (storage)
Content Database Files
→ [Future: Coding/essay generation]
So, think with me, please.
I have a wiki RAGed AI that has a wiki dump and additional books as data points. That is powerful and specific.
I have an Obsidan Deck to structure and search my DeepSeek chats using also Obsidian the software. This has an AI function to give me summaries of the notes after having clustered them. That is great to find structure in the notes.
I now can also show specific notes which lets me read specific ones.
I have no RAGed AI like for Wiki that uses the notes.
I have no database with graphical GUI for the documents, but I should be able to search all documents with the existing scripts with commands like doc stats even so its missing the wiki files for now.
I have to understand better how I will work with the system.
Wiki AI
Obsidian-Deck
Document Registry
Obsidian RAG
C_googlesearch.py O_textextractor.py
phi:2.7b-chat-v2-q4_0 all nodes
192.168.178.30 node1 raspi5 #gemma2:2b
192.168.178.31 node3 raspi4 #no ollama use
192.168.178.26 node5 X260 #llama3.2:3b; qwen2.5:3b
192.168.178.36 node2 420 #offline
192.168.178.33 node4 920 #llama3:latest; deepseek-r1:7b
---
NODES = {
"load_balancer": {
"url": "http://localhost:11435/api/generate", # ← Use port 11435
"models": ["phi:2.7b-chat-v2-q4_0"],
"user": "j4v"
}
}
----
/home/jv4/Pooled-Storage/
├── DeepSeek_html/ # Raw HTML files (input)
├── DeepSeek_md/ # O_html_parser.py output (basic .md)
├── Obsidian/ # O_convert_to_obsidian.py output (enhanced .md)
└── Vault/ # Final home for polished notes
O_AIparser10.py (or O_html_parser.py):
O_convert_to_obsidian.py (metadata enhancer):
O_filename_generator.py (final polish):
O_AIparser10.py
download_dir = Path("/home/j4v/Pooled-Storage/DeepSeek_html")
output_dir = Path("/home/j4v/Pooled-Storage/DeepSeek_md") # Existing folder!
O_convert_to_obsidian.py
input_dir = "/home/j4v/Pooled-Storage/DeepSeek_md" # From step 1
output_dir = "/home/j4v/Pooled-Storage/Obsidian" # Existing folder!
O_filename_generator.py
VAULT_PATH = "/home/j4v/Pooled-Storage/Obsidian" # Input from step 2
# This script should output to /home/j4v/Pooled-Storage/Vault directly
load balancing system
[Knowledge System]
├── aDeepSeek Chat Processor (batch) Obsidian-Deck (several scripts)
├── bRAG-AI 1 (specific content) Obsidian
├── cRAG-AI 2 (website parsing) Wiki OpenLibrary Books Web
├── dRAG-AI 3 Chats RAGed abcd
├── eMulti-source Database Content listings to open files
└── f[Future: Coding AI, Essay AI, Simulation AI]
DeepSeek Chat
→ RAG-AI (analysis)
Obsidian RAG Chat
Wiki OL Web RAG Chat
→ Specific-AI (validation)
Obsidian-Deck talk about notes
Obsidian RAG Chats
Wiki OL Web RAG Chat
→ Website Parser (context)
→ Database (storage)
Content Database Files
→ [Future: Coding/essay generation]
Those can add up to dozens. Housekeeping means to sort them, organize them and reason about the appropriate folder and file structure; That is job and project specific. Consider that a Project itself and you get it sorted for your job and in your project.
