INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hour with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.
Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture, which will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
Jensen Huang acaba de matar el prompt engineering
El CEO de NVIDIA (el 7º más rico del planeta) habló 67 minutos en Stanford sin guion ni filtros y dejó esto:
«Si todavía escribes prompts… para. Empieza a construir loops.»
Esto es gratis
Y vale más que la mayoría de cursos de 300 dólares
No lo mires
Construye tu primer loop ahora
Guía abajo 👇
Esta masterclass de 41 minutos de Peter Thiel en Stanford vale más que cursos de negocios de miles de dólares.
Olvídate de los típicos consejos de negocios que repiten todos los gurús.
En esta clase explica cómo construir un monopolio desde cero, por qué competir destruye empresas y qué hizo que Google, PayPal y Facebook dominaran sus mercados.
He leído libros completos de estrategia empresarial que no condensan tanto valor como los primeros 15 minutos de esta charla.
Y lo mejor: es gratis.
No importa si quieres crear una startup, hacer crecer un negocio o simplemente entender cómo piensan los mejores emprendedores del mundo...
después de verla vas a analizar cualquier empresa con una perspectiva completamente diferente.
Guárdala porque seguro de que te ayudara.
Woke up to 30k today…
Up $130k in 3 days.
All I do is copy Trump and Pelosi but had a lot of people ask me what I’m holding:
1. $GOOGL 25% of the portfolio - reason is this is the biggest holding for Pelosi ($18m), and the biggest holding for Trump ($51m)
2. $NVDA 15% of the portfolio - that’s the first trade I ever copied from Pelosi, was a $38k trade that turned into $246k. It started as a call option, I exercised the calls, now I have shares.
3. $PANW 11% of the portfolio - one of the first trades I copied from Pelosi, although this isn’t Trump’s top 20 picks, it’s the biggest cybersecurity in the U.S. a stock Pelosi been holding since February 2024
4. $AMZN 7% of the portfolio - no need to tell you what Amazon is, Trump has ~$17m, Pelosi has ~$13m
5. $AVGO 7% - another stock I got into from the early Pelosi days, she got in June 2024, it’s up 150% since, Trump is holding ~$35m, Pelosi is holding ~$8m
6. $VST 6.5% - Nancy bought a while ago, it’s an energy play, she’s down 14% I’m down 2% cuz I bought dips, still holding and waiting for a miracle
7. $AXON 3.5% - one of the most interesting Trump buys in my opinion. He kept talking about drones and ICE, he bought $AXON multiple times while in office and never sold. I copied the trade, I’m up 35% since, still holding.
8. $TEM 3% one of the first relatively small cap I’ve seen Nancy trade, so I got in, it’s a volatile stock but an interesting AI play.
9. $LLY 2% - Trump mentioned them a few times since taking office, they’re one of the biggest drug companies in the U.S, Trump is holding ~$12m, a nice diversification from tech which is most of my portfolio
10. $TXN 2% - many might know them from their calculators, but Texas Instruments is actually top 10 largest semi conductor companies in the U.S. and Trump buying pattern convinced me to get in, 10+ buys during office, no sells. He’s holding ~$8.5m.
11. $INTC 1.5% the biggest Trump admin position by far, they invested $8.9b last year when the stock was trading at $20. The stock pumped hard, I got in at a much higher price. Got even more interesting when Pelosi bought $1.5m worth end of May, had to buy more to honor her conviction.
12. $MU 1.5% - another Trump endorsed stock, he praised them multiple times since taking office calling them a great company, he’s personally holding ~$18m
13. $USAR 1% The trump administration got in at $17.17 they invested $300m the stock keeps dipping below their buy price so I keep DCAing, it’s a more speculative trade compared to the other ones in the portfolio imo.
14. $UBER 1% a recent Pelosi buy, thought it was interesting because it doesn’t seem like her usual trades, got in, just in case something happens.
15. $IBM 1% another recent Trump admin play, they invested $1b in May, that’s when I got in, stock hasn’t moved much yet.
There are a few more smaller holdings and there’s concisely a bit more research done before I invest but that’s pretty much the portfolio lmk what you think or lmk if you have any questions I’ll be in the comments replying
A 14 year old has closed $20,500 in barbershop website deals in seven months. Not one owner has ever asked how old he is.
He does not pitch. He shares his screen.
Google Maps, the word barbershop, and he scrolls until he finds a shop with five star reviews stacked up and no website anywhere. Busy place, nobody there ever got round to it.
He builds the site first. Four minutes. Services, prices, hours, a booking button, photos taken off the shop's own page.
Then he dials.
"The shop has no website. I already built one. Thirty seconds, want to see it?"
"Built one for what?"
"For the shop. It is open on my screen right now."
The owner says fine, mostly to end the call.
He shares the screen. The shop's name across the top. The shop's photos. The shop's prices. A button that says book a chair.
"Wait, that's us."
"That's you."
"Who made that?"
"I did. This morning."
A pause, then: "How much."
Five hundred. Every time. Forty one shops in seven months.
The forty first came from the fortieth, who turned his laptop around and showed it to whoever was in the chair.
An agency shows up to that meeting with a portfolio of other people's work. He shows up with the shop's own website already open.
Nobody asks his age because the question never comes up. The thing is either good or it is not, and it is on the screen before anyone has to decide anything.
A un tipo de Singapur lo echaron el 8 de enero por "modelos no autorizados"
11 días después estaba sin trabajo, sin referencias y con un depósito de $400. En abril, esos $400 eran $479,401.
La firma que lo despidió por construir modelos fuera de horario ahora ve cómo un bot ejecuta su modelo 24/7.
La multitud cree que Bitcoin revierte a la media. La microestructura dice que no. Ese hueco es toda la ventaja.
Este es el stack real.
Cada 5 minutos cierra una vela. El agente Hermes la mete en una red de patrones: entran precio, momentum y volumen; se activan las neuronas de BOS, order block y FVG.
Cuando una de ellas se enciende por encima del 0.91 de confianza, no adivina. Lanza un Monte Carlo: 500 trayectorias de precio, horizonte de 5 minutos.
Si el 73% o más de esas trayectorias cruzan el target antes del stop, el cono de dominancia se inclina hacia ARRIBA y el agente dimensiona la posición con Kelly.
Después pulsa un botón.
Eso es todo. Leer la vela. Disparar la red. Simular 500 futuros. Coger la operación que las matemáticas ya han ganado.
El "lag-exploit" no es más que ir 2.7 segundos por delante de una multitud que aún está discutiendo la dirección.
Lo despidieron por correr modelos sin permiso.
Ahora su bot no pide permiso. No necesita un desk, ni referencias, ni un comité de riesgos. Solo lee dos endpoints y pulsa un botón, 1408 veces.
Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." In 45 minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run. This beats any paid course on agents I've seen. Watch it, then read the guide on building loops below.
Follow @Abhayaitech for more..