@DeRonin_: This 2-hour Andrej Karpathy lecture will teach you more about using LLMs than most AI twitter will ever figure out.. no…
Summary
Andrej Karpathy's lecture reveals an 'LLM Wiki' pattern to transform past content into a self-updating knowledge base, helping creators discover patterns in their writing.
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This 2-hour Andrej Karpathy lecture will teach you more about using LLMs than most AI twitter will ever figure out..
no hype. no tools list. just a guy who built Tesla’s Autopilot and co-founded OpenAI showing exactly how he uses these models in real life
but here’s what nobody caught in this video:
he drops a pattern called “LLM Wiki” which let the LLM compile them into a living knowledge base that updates itself
he built it for research papers and code
I pointed it at my own content
6 months of tweets: every hook, structure, flop, viral post, fed into one system
what it surfaced:
one emotional trigger drives 80% of my best hooks my flops all break the same 2 rules my highest-save posts follow a structure i used by accident once a week
the LLM didn’t make me a better writer..
it showed me I was already good, just inconsistent
one Obsidian vault. one LLM. every post compiled into patterns that compound weekly
your past content is a dataset.. most creators are sitting on 12 months of it and doing nothing
Bookmark this video. give it 2 hours. then point the pattern at your own content
the moat nobody’s building yet.
Ronin (@DeRonin_): one underrated content strategy nobody talks about: building a memory layer for every piece of content that ever worked… let me explain
every day on X you see a viral hook, a thread format, a post that blows up and you think “i need to remember this”
most people bookmark it
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