🚨A los arquitectos no les va a gustar esto.
Alguien acaba de lanzar como código abierto un editor completo de edificios en 3D que funciona íntegramente en tu navegador.
Sin AutoCAD. Sin Revit. Sin licencias de 5.000 $ al año.
Se llama Pascal Editor.
Está desarrollado con React Three Fiber y WebGPU, lo que significa que renderiza directamente en tu GPU con un rendimiento casi nativo.
Esto es lo que incluye:
→ Una jerarquía completa de edificios, plantas, muros y zonas que puedes editar en tiempo real.
→ Una arquitectura de tipo ECS donde cada objeto se actualiza mediante sistemas acelerados por la GPU.
→ Gestión de estado con Zustand y funciones de deshacer/rehacer integradas.
→ Frontend con Next.js para desplegarlo como una aplicación web, sin necesidad de instalar software de escritorio.
→ Seguimiento inteligente de cambios: solo vuelve a renderizar lo que ha cambiado, no toda la escena.
Y aquí viene lo más impresionante:
Puedes apilar, aislar o separar plantas individuales del edificio. Seleccionar una zona, mover un muro o modificar una losa, todo en 3D y directamente desde el navegador.
Los estudios de arquitectura pagan más de 50.000 $ por licencia para software BIM que ofrece este flujo de trabajo.
Esto es gratuito.
100 % de código abierto.
🚨 THE US REGULATORY SYSTEM JUST BROKE
In 48 hours, SpaceX goes public at $1.77 TRILLION - the biggest IPO ever
I've been trading for over a decade, and I have never seen them rewrite the rulebook like this
Nasdaq, MSCI, and the biggest brokers in America all bent their own rules for ONE private company
That doesn't happen by accident
Let me show you exactly what they did:
First, Fidelity dropped its minimum account size from $500,000 to $2,000
A 99.6% cut
Think about that:
The most exclusive door on Wall Street, thrown wide open to millions of small investors - days before the biggest debut in history.
Ask yourself one question
Why do they suddenly want YOU in?
Because somebody needs people to sell to.
SpaceX reserved 30% of the deal for retail
THREE TIMES the normal share
And even then, most people didn't get a full allocation.
So to grab more at Thursday's open, they're dumping everything else TODAY to raise cash.
That's half of the selling you're seeing.
The other half? The smart money front-running July.
Here's the trick:
SpaceX doesn't join the Nasdaq 100 on day one.
It joins 15 days later, because Nasdaq cut its own waiting period from 3 months to 15 days
Just for this.
The moment it joins, every QQQ fund on Earth is FORCED to buy.
$22–27 billion in automatic buying.
Translation: imagine 50 buses all forced to pull into the same gas station on the same morning.
The funds know the stampede is coming.
So they're selling now to free up cash for it. Retail selling. Institutions selling. At the exact same time.
THAT is your selloff.
Now here's the part nobody will say out loud:
When the most connected money on the planet builds a $1.7T exit door and hands the keys to the smallest investors in the market…
That's NOT generosity
That's distribution at the top.
We've seen this movie twice:
➮ 2000 Dotcom
➮ 2021 SPAC mania
Insiders cash out at insane valuations while the crowd chases the hype.
The math ain't mathing.
So you've got two choices in the next 48 hours:
Chase the most expensive IPO in history at the open…
Or read the prospectus and realize you might BE the exit.
The next few days will be INSANE, but don't worry - I'll break down every move as it happens, like I always do.
Like it or not, I called every major top and bottom of the last decade publicly. I'll call this one too.
Many people are going to wish they followed me before June 12, 2026.
Soon, you'll understand why.
La estrategia que usé en el torneo de TradingView es un SISTEMA de trading.
A último momento me di cuenta de que no solo funciona el último mes...
Funciona desde hace años.
MUY SIMPLE, 3 condiciones, 60-70% de acierto.
100 respuestas y la publico.
Y la explico, claro :)
🚨 MY PREDICTIONS FOR THE NEXT 3 YEARS 🚨
2026:
1. BTC drops to $52,000
2. S&P falls to 5,800
3. Oil stays above $110 for two quarters
4. First G7 country enters technical recession
5. Fed Chair transition triggers the most volatile quarter in a decade
2027:
1. Fed pivots - 3 cuts in 12 months
2. BTC bottoms in Q1, doubles by Q4
3. Dollar reserve currency debate hits mainstream media
4. Real estate crashes in at least 2 major US cities
5. People who accumulated in 2026 go completely silent on social media
2028:
1. BTC crosses $280,000
2. S&P pushes to 9,500
3. Fed balance sheet hits $12 trillion
4. AI boom starts showing up in actual GDP numbers
5. The people who bought in 2026 will be the new 2017 legends
Bookmark this
Come back in 2028
Anthropic ha publicado un taller sobre cómo construir una empresa solo con Agentes IA.
Agentes trabajando entre ellos, repartiéndose tareas y ejecutando procesos.
Gratis. Del equipo de Claude.
Lo he subtitulado al español.
Si quieres que la IA trabaje por ti, guarda esto 🔖
Today I showed the QUBIC project to a computer engineering professor at the university where I study Artificial Intelligence (yes, I am an AI academic).
He called me a “liar” as if he were joking with me. I sent him the Whitepaper and asked if I was “crazy” or if all these years studying development had messed with my head.
The result after analyzing the material? He bought QUBIC. What do you think I ended up doing once again? I’m not the only crazy one… a professor has now joined me in this “madness.”
But let’s get to what really matters, because this will “enlighten” your expectations in a responsible and reflective way.
As a systems developer and Artificial Intelligence student, I need to explain some of the reasons why I am investing 80% of my net worth in QUBIC.
I also want to make it clear that whenever I decide to write about QUBIC, I always present three perspectives: The entrepreneur’s view, the developer’s view, and the investor’s view.
Just for the record, today I made another deposit thanks to my patience in waiting for the opportunity I had been expecting ; a new price correction in QUBIC.
From this point on, you will understand why QUBIC is currently in my phase of maximum accumulation.
Qubic will be used as the example model, as you already know, but first I want to show you the trajectory of other AIs before they exploded in their projects.
Once you understand the information below, you will realize that QUBIC is not just a “cryptocurrency.” It is like a company (in case you forgot) developing an extremely complex AI (AGI) software.
Now, reflect on the following information:
Name of the AI: Gemini
Company that Launched it: Google (Alphabet / DeepMind)
Time of development until ready: Launched as Bard in March 2023, renamed Gemini in February 2024 (about 1 year since the initial announcement, with roots in years of DeepMind research).
Machine Learning Model: Multimodal LLM (Large Language Model with text, image, audio, and video capabilities).
Current market value after launch: Contributed to Alphabet reaching a market cap above US$ 3.5 trillion, with annual AI investments around US$ 185 billion and strong user growth (750 million monthly users).
Name of the AI: ChatGPT
Company that Launched it: OpenAI (with strong Microsoft partnership)
Time of development until ready: Founded in 2015, but ChatGPT launched in November 2022 (explosion within months after GPT-3).
Machine Learning Model: LLM (based on GPT series, generative transformers).
Current market value after launch: OpenAI valued at approximately US$ 852 billion after massive funding rounds (e.g., US$ 122 billion in one round).
Name of the AI: Claude
Company that Launched it: Anthropic
Time of development until ready: Founded in 2021 by ex-OpenAI members, Claude 1 launched in 2023 (about 2 years until the main product).
Machine Learning Model: LLM focused on Constitutional AI and safety.
Current market value after launch: Anthropic valued at US$ 380 billion (with recent rounds of US$ 30 billion).
Name of the AI: Llama (family of models)
Company that Launched it: Meta
Time of development until ready: Llama 1 launched in February 2023, with rapid iterations (Llama 3/4 in 2024-2025).
Machine Learning Model: Open-source LLM (large language models).
Current market value after launch: Contributed to Meta surpassing US$ 1 trillion in market cap, with Llama generating billions of downloads and an ecosystem (direct business value estimates of US$ 10-20 billion+ for the Llama business).
Name of the AI: Copilot
Company that Launched it: Microsoft (integrating OpenAI)
Time of development until ready: Announced in 2023, with wide rollout in 2024 (fast, leveraging US$ 13B+ investment in OpenAI).
Machine Learning Model: Integrated LLM (based on GPT).
Current market value after launch: Powers Microsoft’s AI division, expected to be the fastest to reach US$ 10 billion in annual revenue; contributes to Microsoft’s market cap above US$ 3 trillion.
Name of the AI: Grok
Company that Launched it: xAI (Elon Musk)
Time of development until ready: xAI founded in 2023, Grok launched in November 2023 (accelerated development in months).
Machine Learning Model: LLM focused on reasoning and real-time data from X.
Current market value after launch: xAI valued at around US$ 200-230 billion after rounds such as US$ 20 billion.
Final Reflection on the QUBIC Scenario: If all these AIs, based on traditional LLM models, reached billions (and even trillions in market impact) in just a few years after launch, what do you think will happen when an AI (AGI) starts running on QUBIC with evolutionary machine learning?
Be honest with yourself in your answer!
In Qubic’s model, Aigarth uses Intelligent Tissue (intelligent tissue) with ternary computing (-1, 0, +1), Useful Proof-of-Work (uPoW) that turns mining into distributed neural network training, Darwinian evolution through mutation, natural selection, and fitness functions. This creates an emergent, decentralized, and self-improving AGI, without the centralized bottlenecks of LLMs.
As soon as it is launched in the market, QUBIC has the potential to be selected as the world cradle for hosting Autonomous AI Agents, generating exponentially greater value due to its resilience, feeless scalability, and true evolutionary nature.
But the cherry on top has never been said.When an AGI is launched by QUBIC, it will attract millions of users, massively scaling the adoption of QUBIC’s AGI. In addition to regular users, we will have institutional users ; companies ; and sovereign users (governments).
Or do you think tests won’t be conducted from all over the world to see if it’s possible to develop their own tools using a decentralized AGI?
Remember the current problems: governments are racing to develop their own AI technologies. There is also huge demand for energy sources, and a race of all kinds is forming.
How much do you think QUBIC will be worth, considering it will not be an LLM, but a completely superior model?
Qubic will soon be on this list, but don’t think it will be worth just a few “billions.”
I estimate that having an AGI running with functionality and performance that meets even simple needs will already reach hundreds of billions of dollars in market cap.
If a centralized one reached trillions, imagine an AGI built the right way? Yes, gentlemen, there is no exaggeration in the calculations ; there is only the development time and getting the functionality right at launch!A tip?
Accumulate while there is still time!!
QUBIC IS INEVITABLE!
#qubic #aigarth
HILO 4/X | LC Trading Model
Serie de hilos en los que destripo mi modelo de trading para que entiendas cómo y por qué se mueve el precio.
Si sigues esta serie y aplicas lo que explico por fin vas a tener una estructura para ganar dinero.
Guárdalo 🔒
Hoy: de 0 a plantear una operación de alta probabilidad teniendo en cuenta el timing semanal/diario.
ICT 2022 Model Explained in Detail with 10 Chart Examples
I have put together 10 Backtested Chart Examples of 2022 Model in this PDF.
Built to elevate your understanding for the ICT's most famous Model.
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