I Replaced Karpathy's LLM Wiki with Something That Actually Works
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The top comment on the biggest LLM Wiki video says it's largely worthless for most people. I took the same sources, the same goal, and built Karpathy's wiki AND my system side by side in real time. Wiki ingested a single article for 13 minutes. NotebookLM loaded the same sources in seconds. 10 questions answered in under a minute with citations back to the raw transcript.
๐ NotebookLM CLI skill. Upload sources, ask questions in parallel, get cited answers in Obsidian. Ready to use:
โ No API keys, no setup. Just drop the skill and go ๐
https://notebooklm-skill-artemzhutov.netlify.app
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Timestamps:
0:00 "Largely worthless for most people"
0:30 Same goal. Same sources. Both systems.
1:00 Building Karpathy's wiki from scratch
2:32 NotebookLM: the parallel approach
3:49 Sources loaded in seconds
5:06 No middle layer needed
5:52 13 minutes for a single article
6:08 10 questions, all at once
7:23 Cited answers in Obsidian
7:54 Dalio's actual 5-step process
8:39 Concept extraction without the wiki
10:40 Same result, fraction of the cost
11:11 Mind maps vs graph view
12:26 Asking the wiki the same questions
13:12 44,000 tokens blown
15:00 Where scale breaks everything
16:00 When each approach wins
17:31 Where the wiki actually wins
19:35 "You created a wiki. Now what?"
20:36 Building a decision skill from Dalio
21:52 Side-by-side comparison
22:23 QMD: the local alternative
24:26 The loop that closes everything
25:11 What knowledge source would you pick?
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Chapters (24)
"Largely worthless for most people"
0:30
Same goal. Same sources. Both systems.
1:00
Building Karpathy's wiki from scratch
2:32
NotebookLM: the parallel approach
3:49
Sources loaded in seconds
5:06
No middle layer needed
5:52
13 minutes for a single article
6:08
10 questions, all at once
7:23
Cited answers in Obsidian
7:54
Dalio's actual 5-step process
8:39
Concept extraction without the wiki
10:40
Same result, fraction of the cost
11:11
Mind maps vs graph view
12:26
Asking the wiki the same questions
13:12
44,000 tokens blown
15:00
Where scale breaks everything
16:00
When each approach wins
17:31
Where the wiki actually wins
19:35
"You created a wiki. Now what?"
20:36
Building a decision skill from Dalio
21:52
Side-by-side comparison
22:23
QMD: the local alternative
24:26
The loop that closes everything
25:11
What knowledge source would you pick?
๐
Tutor Explanation
DeepCamp AI