Bill Ackman offered Elon Musk to launch SpaceX IPO without banks - through his company, guaranteeing an investment of his own $4B
- he silently rejected the offer, now he officially filed for a traditional IPO
SpaceX urgently needs $75 billion, and Elon is rushing to take the company public
knowing this, Ackman stepped in with a proposal - Musk wouldn't have to pay massive Wall Street fees to launch the IPO
he offered to bypass the entire traditional market entry system through his own company "SPARC "
- by distributing SpaceX share purchase rights to Tesla shareholders
bookmark & watch it today
let me explain what Karpathy just shared
he’s spending way less time using AI to write code and more time using it to build personal knowledge bases
the full breakdown:
→ he dumps raw sources (articles, papers, repos, datasets, images) into a folder. then has an LLM organize them into a wiki… a collection of markdown files with summaries, links between related ideas, and concept articles that connect everything together
→ he uses Obsidian as his frontend. he views raw data, the organized wiki, and visualizations all in one place. the LLM writes and maintains the entire wiki. he rarely touches it directly
→ once the wiki gets big enough (~100 articles, ~400K words on one recent research topic)… he just asks the LLM questions against it. no RAG (complex retrieval system) needed. the LLM maintains its own index files and reads what it needs
→ outputs aren’t just text. he has the LLM render markdown files, slide decks, charts, and images… then files the outputs back into the wiki so every question he asks makes the knowledge base smarter
→ he runs “health checks” where the LLM finds inconsistent data, fills gaps using web search, and suggests new connections and articles. the wiki cleans and improves itself over time
→ he even vibe coded a search engine over his wiki that he uses directly in a browser or hands off to an LLM as a tool for bigger questions
→ his next step: training a custom model on his own research so it knows the material in its weights… not just in the context window
most people use AI to get answers.
Karpathy is using AI to build his own ‘Jarvis’ via compounding knowledge systems that get smarter the more he uses them
the difference between asking ChatGPT or Claude a question and having a personal research engine that grows with every session is the gap most people haven’t crossed yet
and this is where it gets really powerful
not replacing your thinking but organizing everything you’ve ever learned into something you can query or create with forever
if you’ve been using CLAUDE .md and context files in Claude Code… this is that same idea at a much bigger scale
if you’re doing any kind of AI work or deep learning on a new topic right now…
this workflow is worth studying closely
you’ll want to adopt it yourself
this is one of AI’s brightest minds after all. we’re all better off listening to him.
Microsoft 365 connectors are now available on every Claude plan.
Connect Outlook, OneDrive, and SharePoint to bring your email, docs, and files into the conversation.
Get started here: https://t.co/EdoQeT8BBN
Everyone is sleeping on this new OCR model!
- 85.9% (sota) on olmocr bench
- 90+ language support w/benchmarks
- 4B model (down from 9B)
- Full layout information
- Extracts + captions images and diagrams
- Strong handwriting, math, form, table support
100% open-source.
There are investors that pay $3,000+/month for dashboards that Perplexity Computer builds in 5 minutes for free
Here are 5 dashboards with full prompts included so you can build each one right now:
WW2 documentary, but it's anime.
I think I finally cracked the code on how to create history documentaries in anime style.
This opens so many content angles, especially for Youtube creators.
Here's the breakdown 👇