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trenchprenuer
6 posts
@Zolt51 That's true, but you can put the papers through one of the latest reasoning models for a critical assessment.
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Our small team has worked hard on refining the novel observer-based fundamental theory of Physics, OPH, over the past 3 months. Still way to go, but we already derive most of existing Physics and parts of the particle spectrum.
@muellerberndt/observers-are-all-you-need-how-observer-synchronization-creates-all-of-physics-8ebb7e9783e7" target="_blank" rel="nofollow noopener">medium.com/@muellerberndt…
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@ScienceOrMyth Not really though. Science assisted by hundreds of hours of inference using research-grade reasoning models.
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Our Theory-of-Everything, OPH, unifies The Standard Model and Gravity. Newton's constant G and the SM particles are both derived from a single constant P. At large scales, OPH predicts exactly our 3+1D spacetime.
learn.floatingpragma.io/unification?v5
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@karpathy Lastly, no, Farzapedia will not be made public. Considering it made an entire "Relationship History" article, some things should remain between and my LLM 🤣
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This is Farzapedia.
I had an LLM take 2,500 entries from my diary, Apple Notes, and some iMessage convos to create a personal Wikipedia for me.
It made 400 detailed articles for my friends, my startups, research areas, and even my favorite animes and their impact on me complete with backlinks.
But, this Wiki was not built for me! I built it for my agent!
The structure of the wiki files and how it's all backlinked is very easily crawlable by any agent + makes it a truly useful knowledge base.
I can spin up Claude Code on the wiki and starting at index.md (a catalog of all my articles) the agent does a really good job at drilling into the specific pages on my wiki it needs context on when I have a query.
For example, when trying to cook up a new landing page I may ask:
"I'm trying to design this landing page for a new idea I have. Please look into the images and films that inspired me recently and give me ideas for new copy and aesthetics".
In my diary I kept track of everything from: learnings, people, inspo, interesting links, images.
So the agent reads my wiki and pulls up my "Philosophy" articles from notes on a Studio Ghibli documentary, "Competitor" articles with YC companies whose landing pages I screenshotted, and pics of 1970s Beatles merch I saved years ago. And it delivers a great answer.
I built a similar system to this a year ago with RAG but it was ass.
A knowledge base that lets an agent find what it needs via a file system it actually understands just works better.
The most magical thing now is as I add new things to my wiki (articles, images of inspo, meeting notes) the system will likely update 2-3 different articles where it feels that context belongs, or, just creates a new article.
It's like this super genius librarian for your brain that's always filing stuff for your perfectly and also let's you easily query the knowledge for tasks useful to you (ex. design, product, writing, etc) and it never gets tired.
I might spend next week productizing this, if that's of interest to you DM me + tell me your usecase!
Andrej Karpathy@karpathy
Wow, this tweet went very viral! I wanted share a possibly slightly improved version of the tweet in an "idea file". The idea of the idea file is that in this era of LLM agents, there is less of a point/need of sharing the specific code/app, you just share the idea, then the other person's agent customizes & builds it for your specific needs. So here's the idea in a gist format: gist.github.com/karpathy/442a6… You can give this to your agent and it can build you your own LLM wiki and guide you on how to use it etc. It's intentionally kept a little bit abstract/vague because there are so many directions to take this in. And ofc, people can adjust the idea or contribute their own in the Discussion which is cool.
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