🚨EN LUGAR DE VER UNA HORA DE NETFLIX ESTA NOCHE…
Mira esta conferencia de 60 minutos de Cambridge con Demis Hassabis.
Te va a enseñar MÁS sobre el futuro de la IA que lo que la mayoría de la gente aprenderá en los próximos 5 años.
Guárdala YA en favoritos y dedícale esa hora. Sin excusas.
🚨Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now!
Video Credit : Respective owner
Todos buscan la próxima Nvidia.
Pero la fiebre IA no funciona solo con chips.
10 ganadores ocultos de la fiebre de la IA:
1. Red eléctrica inteligente $GRID
Cada nuevo centro de datos necesita conexión, transmisión, medidores, gestión energética y equipos eléctricos.
🚨 THIS IS HOW AI BUBBLE WILL CRASH S&P 500
Read the post carefully before buying stocks
3 AI and space giants are going public in the same year with a combined valuation approaching $4 trillion:
1. The biggest IPO wave in decades
- SpaceX could become the largest IPO in history, raising up to $75 billion(
$SPCX will debut on Nasdaq on June 12)
- OpenAI has already filed a confidential S-1 and is targeting a valuation above $1 trillion
- Anthropic is also considering a public listing at a valuation of around $1 trillion
2. The S&P 500 is currently being carried mostly by the Mag 7 and AI-related stocks (Nvidia, Microsoft, Google, Amazon, etc.), which make up roughly 33-35% of the index
These 3 IPO could create a massive liquidity drain as investors move $75-200+ billion into SpaceX, OpenAI, and Anthropic shares
Funds and investors would likely sell existing positions in today's market leaders to free up capital, with Nvidia, Microsoft, and Google among the first likely to feel the pressure
On top of that, the S&P 500 has so far resisted fast-tracking these unprofitable giants into the index, meaning the capital rotation effect could put even more pressure on existing index components
3. History shows a concerning pattern
At the peak of every major market bubble, capital became concentrated in a small group of "can't lose" companies:
- The Roaring Twenties
- The Nifty Fifty era
- Japan's 1980s asset bubble
- The Dot-Com Bubble of 1999-2000
Today, capital concentration in the tech sector is once again near historical extremes
4. After an IPO, early investors get the opportunity to lock in profits
Historically, lock-up expirations have often increased selling pressure on newly public stocks
During the Dot-Com era, even some of the highest-quality companies suffered massive drawdowns:
- Amazon: -95%
- Microsoft: -65%
- Intel: -80%
- Oracle: -80%
- Yahoo: -97%
A great business doesn't protect investors from overvaluation
IPOs at these kinds of valuations, while many AI companies are still deeply unprofitable, are often a sign of market euphoria
I've said this before, and the cycle is still playing out exactly according to plan
Turn on notifications and drop your thoughts below
The next phase is gonna be very important
🚨 EL SISTEMA REGULATORIO DE EEUU ACABA DE ROMPERSE
En menos de 48 horas, SpaceX sale a bolsa a $1.77 TRILLONES, la IPO más grande de la historia
Llevo muchos años tradeando y nunca había visto reescribir las reglas así
Nasdaq, MSCI y los brokers más grandes de América doblaron sus propias normas por UNA empresa privada
Eso no pasa por accidente
Te enseño exactamente lo que hicieron:
Primero, Fidelity bajó su mínimo de cuenta de $500,000 a $2,000
Un recorte del 99.6%
Piénsalo:
La puerta más exclusiva de Wall Street, abierta de par en par a millones de pequeños inversores, días antes del mayor debut de la historia.
Hazte una sola pregunta
¿Por qué de repente te quieren A TI dentro?
Porque alguien necesita gente a la que vender.
SpaceX reservó el 30% de la operación para retail
TRES VECES la cuota normal
Y aun así, la mayoría no recibió su asignación completa.
Así que para pillar más en la apertura del jueves, hoy están vendiendo todo lo demás para levantar cash.
Eso es la mitad de las ventas que estás viendo.
¿La otra mitad? El smart money adelantándose a julio.
Aquí está el truco:
SpaceX no entra en el Nasdaq 100 el día uno.
Entra 15 días después, porque el Nasdaq recortó su propio periodo de espera de 3 meses a 15 días
Solo para esto.
En el momento en que entre, todos los fondos QQQ del planeta estarán OBLIGADOS a comprar.
Entre $22 y $27 mil millones en compras automáticas.
Traducción: imagina 50 autobuses obligados a parar en la misma gasolinera la misma mañana.
Los fondos saben que viene la estampida.
Así que venden ahora para liberar cash. Retail vendiendo. Instituciones vendiendo. Al mismo tiempo.
ESO es tu selloff.
Y ahora la parte que nadie dirá en voz alta:
Cuando el dinero más conectado del planeta construye una puerta de salida de $1.7T y le entrega las llaves a los inversores más pequeños del mercado…
Eso NO es generosidad
Eso es distribución en el techo.
Esta película ya la hemos visto dos veces:
➮ Dotcom 2000
➮ La manía SPAC de 2021
Los insiders salen a valoraciones absurdas mientras la masa persigue el hype.
Las cuentas no cuadran.
Así que tienes dos opciones en las próximas 48 horas:
Perseguir la IPO más cara de la historia en la apertura…
O leer el prospecto y darte cuenta de que la salida podrías ser TÚ.
Los próximos días van a ser una LOCURA.
Mucha gente va a desear haberme seguido antes del 12 de junio de 2026.
Pronto entenderás por qué.
🚨 El billonario CZ acaba de soltar esto EN DIRECTO en CNBC:
“Creo que en la segunda mitad de 2026 veremos el MAYOR superciclo cripto de la historia.” 📈
Hablamos de una de las figuras más importantes del sector Crypto & Bitcoin.
La pregunta es… ¿Sabe cosas? 👀
LIST OF 40 WEBSITES TO FIND REMOTE JOBS
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37. contentwritingjobs. com
38. problogger. com/jobs
39. behance. net
40. designhill. com
How to Build Your First AI Agent - Step-by-Step
Creating an AI agent might sound complex, but by breaking it down into structured steps, you can go from idea to a fully functional agent that solves real problems.
Whether you’re building for customer service, research, or automation, following these stages ensures your agent is accurate, useful, and adaptable.
1. Define the Agent’s Purpose
Start with clarity. Identify the problem your agent will solve, who will use it, and what kind of inputs and outputs it should handle. This step sets the foundation for everything else.
2. Select Input Sources
Decide what kind of data your agent will use - text, voice, API calls, or a mix. Connect it to databases, CRMs, or external APIs, and determine how real-time the data needs to be.
3. Data Preparation & Preprocessing
Clean and format your data so it’s ready for your chosen AI model. This might mean tokenizing text, normalizing values, or structuring raw inputs.
4. Choose the Right Model
Pick the AI engine that powers your agent - whether it’s an LLM like GPT-4, Claude, or Gemini. Choose between hosted APIs or custom deployments, ensuring it supports your needs like reasoning, retrieval, or chat.
5. Design the Agent Architecture
Decide how your agent will operate using decision trees, planners, or tool-driven flows. Use frameworks like LangChain, CrewAI, or AutoGen to connect tools, memory, and prompts efficiently.
6. Craft Prompts & Toolchains
Write effective, structured prompts, integrate with APIs, search tools, or calculators, and test until your outputs are accurate and reliable.
7. Test & Validate
Run simulations with varied user inputs, check accuracy, and find weaknesses like edge cases or inconsistent answers.
8. Deploy the Agent
Host your agent on cloud services (Vercel, AWS, Hugging Face) and add a frontend like a chat interface or voice UI. Ensure logging is in place for performance tracking.
9. Monitor & Improve
Watch how users interact with your agent. Track accuracy, latency, and errors. Refine prompts or retrain models when needed.
10. Enable Continuous Learning
Let your agent evolve. Feed it real usage data, update tools and APIs, and fine-tune models to handle new scenarios over time.
Ready to bring your first AI agent to life?
Start small, experiment, and iterate - your first version doesn’t have to be perfect. The key is to build, test, and keep improving.
🚨 BREAKING
🇺🇸 FED WILL INJECT $7,585,000,000.00 INTO THE MARKET RIGHT BEFORE U.S. MARKETS OPEN.
THEY ARE TURNING ON THE MONEY PRINTER.
THIS IS GIGA BULLISH FOR MARKETS.
🚨 BREAKING
🇺🇸 BLACKROCK JUST STARTED LIQUIDATING CRYPTO AHEAD OF TRUMP’S EMERGENCY ANNOUNCEMENT TODAY!
THEY ARE DUMPING MILLIONS OF BITCOIN AND ETHEREUM RIGHT NOW, NONSTOP.
LOOKS LIKE THEY KNOW A HUGE MARKET CRASH IS COMING SOON...
LIST OF 40 WEBSITES TO FIND REMOTE JOBS
1. Linkedin. com
2. Indeed. com
3. Glassdoor. com
4. FlexJobs. com
5. weworkremotely. com
6. Remote. com
7. Upwork. com
8. Freelancer. com
9. Fiverr. com
10. Guru. com
11. Toptal. com
12. AngelList. com
13. Hubstafftalent. com
14. Simplyhired. com
15. Remotive. com
16. Virtualvocations. com
17. workingnomads. com
18. Hired. com
19. cloudpeeps. com
20. taskrabbit. com
21. talent. com
22. Remote OK - remoteok. io
23. DRemote - dremote. io
24. Jooble - jooble. org
25. stackoverflow. com/jobs
26. jobspresso. com
27. onlinejobs. ph
28. simplyhired. com
29. themuse. com
30. skipthedrive. com
31. zirtual. com
32. justremote. com
33. hireable. com
34. remoteworkhub. com
35. jobbatical. com
36. freelancewritinggigs. com
37. contentwritingjobs. com
38. problogger. com/jobs
39. behance. net
40. designhill. com
Don't forget to follow @RamSingh_369 to get more insightful Ai related tools and update.
El open interest de opciones call sobre el ETF coreano iShares MSCI South Korea ETF se ha disparado hasta niveles nunca vistos, acercándose a los 5.000 millones de dólares. Esto indica una entrada masiva de dinero en apuestas alcistas sobre Corea del Sur, probablemente vinculadas al sector tecnológico y de semiconductores. No significa necesariamente que el mercado vaya a subir de forma inmediata, porque detrás también puede haber coberturas y estrategias complejas de grandes fondos, pero sí deja claro que algo muy importante se está moviendo en torno al mercado coreano.
Jesse Livermore mapped this pattern 100 years ago
He made $100 million shorting the 1929 crash using this exact framework
Livermore's Speculative Chart maps how smart money distributes to retail before a major top
We're at stage 6-7 - the first pullback after the trap
🚨 BREAKING
🇨🇳 CHINA JUST DUMPED $5.6B IN U.S. TREASURIES.THAT’S TWICE AS MUCH AS JAPAN.
EVERY SINGLE FROM CHINA HAS BEEN FOLLOWED BY 22% DUMP
THIS IS NOT GOOD FOR THE MARKETS
🚨 RUMOR:
🇨🇳 CHINA IS DUMPING BILLIONS IN US TREASURIES USING ALGORITHMS.
THIS DOESN’T LOOK LIKE A NORMAL REBALANCE.
IT’S NOW A REAL EXIT STRATEGY.
THEY KNOW SOMETHING WE DON'T.
I DON'T THINK YOU UNDERSTAND WHAT JUST HAPPENED.
The entire US Treasury yield curve just broke simultaneously.
2yr. 5yr. 20yr. 30yr.
All at the exact same moment.
This is not a glitch.
Only one type of seller moves like this.
A sovereign. A central bank. A country.
China holds $700B in US Treasuries.
Japan holds $1.24T. UK holds $897B.
If any of them started exiting today…
This is exactly what it would look like.
The bond market is the largest on earth.
When it breaks like this something is fundamentally wrong.
Stocks haven't reacted yet.
But they will.
Watch this week very closely.