Andrej Karpathy called it a compiler, not a storage system. this diagram shows the architecture he described.
most people who build a second brain treat it like a filing cabinet. they drop notes in. they search when needed. the library gets bigger over time but never smarter.
a compiled wiki works differently. raw holds the source materials. unstructured. immutable. ground truth. wiki is where the model converts everything in raw into structured, linked, evergreen knowledge. the human reads it. the model writes it. output is where finished work lands. built from compiled knowledge, not from memory.
at the center: CLAUDE.md. identity, preferences, goals, project context. the model reads it before every session. automatically. you never explain yourself again.
the loop closes through update. every new source gets ingested, compiled, linked, and integrated. the system improves with every cycle.
five automations run the whole thing. ingest captures and extracts. write retrieves and drafts. manage links decisions to context. review summarizes and reflects. maintain prunes and improves.
the system improves with every cycle. automatically. retrieval answers questions. compilation builds understanding.
the article above. build the compiler. not the cabinet.
this paper is f*cking insane
a quant paper combined a Hidden Markov Model with reinforcement learning to dynamically adjust portfolio allocation as market regimes shift.
the numbers: the strategy beat SPY while pulling stronger risk-adjusted returns and shallower drawdowns across 2004-2025.
the crazy part is it isn't trying to forecast the market, it figures out what regime it's in first, then decides the allocation.
bookmark before this thread gets buried.
Apparemment Epstein n'est un problème ni pour la presse française, ni pour la justice. Les victimes ne méritent pas ça.
Quant aux influences étrangères sur les élections et les dirigeants politiques français impliqués, rien non plus. Pourquoi ?
🇫🇷 FLASH - Jean, 11 ans, a été TABASSÉ à plusieurs reprises lors de sa colonie de vacances par plusieurs autres adolescents à Camaret-sur-Mer cet été : le pauvre enfant recevait des CLAQUES à chaque réveil, des COUPS DE BASKETS et de claquettes, parfois des COUPS DE POING à chaque repas. "T’as 2 minutes pour te laver sinon on te frappe", lançaient ses bourreaux. "Heureusement que je fais de la boxe sinon ils m’auraient violé", a lâché Jean au gendarme qui l’interrogeait. Quand Jean a demandé aux animateurs l’autorisation d’appeler sa mère, ces derniers lui auraient répondu : "Si c’est pour te plaindre, ce n’est pas la peine". Ses agresseurs l’auraient quant à eux menacé : "Si tu parles, t’es mort. On va aller VIOLER ta mère". (Le Parisien)
🚨BREAKING: A new open-source multi-agent LLM trading framework in Python
It's called TradingAgents.
Here's what it does (and how to get it for FREE): 🧵
We’re airdropping $QUANT to users who stepped up during the April 18 rsETH crisis.
If you sent ETH/USDC to DeFi United to help restore rsETH’s backing after the KelpDAO/LayerZero bridge exploit,
You can now pre-claim your $QUANT allocation.
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4. Refer others to earn more
The pre-claim window is closing soon.
You helped when DeFi needed it. This one is for you.
Mrityunjoy Chakraborty, IIT Kharagpur professor:
"Jane Street pays a 22 year old $500,000 a year for one skill: turning uncertainty into a number you can bet on. that number is the first thing this professor teaches, and it is free"
this free lecture is the foundation every quant bot and hedge fund model is secretly built on.
before the AI, before the strategy, there is one question. what is the chance this happens, exactly.
get that number right and every bet after it is just math. get it wrong and no model, no bot, no amount of compute can save you.
Chakraborty builds probability from the axioms up, on a blackboard, in notation a 15 year old can follow.
Wall Street sells this as a $500,000 edge. an IIT professor hands you the source code for nothing.
this quant paper is f*cking insane
it's a 51-page guide put together by an MIT Sloan Business Club member, covering probability, statistics, market making, and real interview questions from Jane Street, Citadel, Two Sigma and more, all free.
the crazy part is a professor didn't build this, it started as one student's own interview prep notes before turning into a full write-up to help others break into quant finance.
bookmark it before it disappears.
There is quite literally generational wealth awaiting in front of you right now…
If you invest $200K correctly then you will never have to work again.
This is what you need to be invested into:
AI infrastructure ~ $NBIS, $CIFR, $APLD
Space ~ $RKLB, $RDW, $LUNR
Energy/Nuclear ~ $TE, $BE, $OKLO, $OSS
Rare Earths ~ $USAR, $UUUU, $MP
All these names have the opportunity to 10x over the next 2-3 years.
Don’t miss out…
Nobody is talking about this stock right now, but soon everyone will be…
$CRWV which currently trades at $118 is setup for a run into $340+ before end of year.
With 167% YoY revenue growth, $3.6B in cash, & multi billion dollar contracts from $NVDA, $META, OpenAI, & more you cannot be bullish enough on $CRWV.
I’ve called this weeks ago now, but the AI infrastructure theme will dominate the second half of 2026.
You can mark my words on that…