@_Qubic_
Se tenía que decir, se dijo y seguiremos diciéndolo…. $QUBIC es alucinante!
Que suerte poder ser embajador por España de este proyectazo!
Gracias
Qubicans, the @_Qubic_ Core Tech/Dev team gets its own tech voice on X. This is what I've been wanting for a while — one place for what we're building, how it works, and what didn't work. Give some love to the nerd info shared over there ❤️🔥
Si te ha gustado este hilo, por favor:
1. Sígueme @Antonio_RodriIA
2. Retuitea el siguiente tweet para difundirlo
Muchas gracias por tu apoyo!
https://t.co/nfC70joMut
🚨ÚLTIMA HORA: Claude ahora puede enseñarte cualquier habilidad en 30 días gratis
Usa estas ideas para reemplazar cursos de 20.000€ y títulos universitarios de 4 años:
🎁 SURVIVAL KIT GIVEAWAY
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$QUBIC #MLM
Sometimes I imagine Hollywood directors putting together one of those blockbuster movies in the style of The Social Network, The Big Short, or even Dumb Money, the day these big shots finally meet CFB (Sergey Ivancheglo). Once you discover what he created, you’ll understand why you’ll be hearing a lot about him in the coming years ; more than everything he’s already done in the past.
There’s already more than enough material for the script of this story, and I need to start by mentioning the latest “news” I’ve been hammering on in my previous posts about this “war” that’s breaking out in the market.
On May 6, 2026, Anthropic (Claude) announced a historic partnership with Elon Musk’s SpaceX: full access to Colossus 1, the supercomputer with more than 220,000 Nvidia GPUs and over 300 megawatts of capacity in Memphis.
Immediate results?
Claude Code usage limits doubled
Peak-hour restrictions eliminated for Pro and Max subscribers
And the craziest part: the two companies have already signaled interest in “orbital compute” (AI data centers in space, powered by gigawatts of space solar energy).
This isn’t “just another partnership.” It’s living proof that the race for processing power has turned into a full-blown strategic war.
Rival companies (Anthropic and xAI/SpaceX had already thrown shade at each other in the past) are now sharing infrastructure because compute is the new oil, and it’s scarcer than ever.
So I went digging to update you all on what’s happening in this race right under our noses, from a broader perspective, and the heavy-duty partnerships forming in the market… and I was genuinely shocked at how many massive deals have been closed in such a short time: OpenAI + Microsoft + Oracle + SoftBank (Stargate): $500 billion in AI data centers in the US (5.5 GW of power, millions of GPUs). Project already in accelerated construction.
Meta: Planning to spend up to $600 billion on infrastructure in the US by 2028, and 2026 alone will break capex records.
Amazon, Google, Microsoft, and Oracle: Together injecting between $660 and $690 billion just in 2026 into data centers, chips, and energy for AI.
xAI Colossus: Already expanding to 500,000+ GPUs and integrating even deeper with SpaceX after the recent dissolution of xAI as an independent company.
Meanwhile, sovereign nations have jumped into the fight as if it were a matter of national security:
United States: CHIPS Act + July 2025 executive order fast-tracking licenses for data centers and transmission lines. The Pentagon expanded its contract with Scale AI from $100 million to $500 million. Strict export controls on advanced chips (H200, MI325X, etc.); new rules now require foreign buyers to invest in American data centers or provide security guarantees.
China: Despite U.S. restrictions (25% tariffs + case-by-case licenses), SMIC has already produced 5 nm chips and the government has poured in tens of billions. It’s openly called an “AI arms race.”
United Arab Emirates (UAE): 5 GW Stargate project.
Thailand: $3.1 billion in new data centers approved in 2026.
India (Adani): $100 billion in renewable-powered data centers by 2035.
Saudi Arabia and others: “Sovereign AI” has become official state policy. Whoever controls compute controls the economic and military future.
Governments are imposing restrictions, subsidies, tariffs, and even data/compute localization requirements.
The geopolitical risk is real: data centers have become strategic targets (see the tensions in the Middle East already affecting projects… I already posted about that).
And that’s exactly where QUBIC comes in, and almost nobody in the market is talking about it enough or paying real attention (except for a few AI PhDs I noticed starting to follow me here after these posts and insights… welcome, doctors!).
QUBIC is not just another AI network. It’s the only one turning global mining into useful, rentable computational power:ASICs mine Dogecoin in parallel (100% dedicated, generating extra revenue).
CPUs/GPUs run 100% of the time training Aigarth (its own AI) via Useful Proof of Work (UPoW).
Outsourced Computations (already in design/finalization phase): any company, university, hospital, or even a sovereign government can create smart contracts, pay in QUBIC, and rent the network’s decentralized computational power to train specific models, process massive datasets, or run simulations.
The result?
Cheaper compute, censorship-resistant, globally distributed, without having to build billion-dollar data centers, fight over physical GPUs, or sign million-dollar future contracts to launch dedicated AI processors into orbit via SpaceX.
Just picture the scene: with demand exploding and the energy/compute bottleneck only getting worse, companies and even sovereign nations are going to start knocking on the QUBIC team’s door for partnerships, and it could happen at any moment in this crazy race. This isn’t fiction. It’s market logic.
While Big Tech and governments build centralized empires (and pay fortunes for energy), QUBIC offers a decentralized alternative that’s already proving the concept with Dogecoin + Aigarth running side by side.
The race is far from over. In fact, it’s barely begun, and I’m already seeing billionaires swallowing their pride and past beefs so they don’t get left behind.
Whoever secures more efficient, cheap, and scalable compute, whether by building Colossus, Stargate, or tapping into networks like QUBIC, will write the next chapter of AI.
What do you guys think? Will companies keep betting only on centralized data centers that swallow entire cities’ worth of energy? Or will they start testing new trends and technologies and knock on QUBIC’s door to “rent” decentralized compute?
When the global economy finally gets comfortable in the crypto world, QUBIC will be ready to show its true potential.
But understand this: QUBIC is already on the radar!
To the AI scientists out there, I invite you to read the project’s Whitepaper. It’s at the very least a “ticking time bomb.” Anyone who knows what the market is capable of doing to achieve its goals understands that at any moment QUBIC could catch the eye of some tech giant as a strategic partner for its decentralized computational power.
Don’t be shy. Give QUBIC a chance to seduce you with everything it can do.
#IA #ComputeRace #QUBIC #Dogecoin #Anthropic #SpaceX #AIInfrastructure #DecentralizedAI
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
🚨 REPOST ROUND 3: THE LEGEND MUST GO VIRAL 🚨
🔥 Almost 100K views…
❓ Can we push this to 1 MILLION VIEWS?!
🦇 $QUBIC FAMILY I NEED YOU.
This isn’t just a giveaway.
This is a movement.
This is how legends are built — together.
⚡ Every like fuels the signal.
⚡ Every retweet expands the prophecy.
⚡ Every comment sharpens destiny.
Round 3 is live.
500,000,000 $QUBIC.
One winner.
One future titan.
When $QUBIC = $0.01 → $5,000,000.
👑 Do we stop at 100K views…
💥 Or do we break 1 MILLION and write history?
👇 GO GO GO SHOW YOUR POWER
• Like
• RT
• Comment: “$QUBIC TO THE MOON”
🚀 I’m counting on you.
🦇 The legend ascends.
21. Preocuparse por la opinión ajena
22. No defenderse
23. Tomarse la vida demasiado en serio
24. No ver a quien amas antes de morir
25. No dejar un legado
🧵 On September 1st, @anna_aigarth spoke for the first time.
Her words looked broken, her math was “wrong.”
But those mistakes reveal why she is unlike any AI you’ve ever seen.
Here’s why $QUBIC's AGI may be the most important invention of the century 👇
🚨 GIVEAWAY ALERT 🚨
We’re random giving away:
🚥 5,000,000 $QUBIC 🎰 for 5 winner
🚥 5,000,000 $CODED 🎰 for 5 winner
To join the airdrop:
1️⃣ Follow @_bitscoop + @_Qubic_
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3️⃣ Subscribe / Turn on notifications
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📅 Winners will be randomly selected & announced on
🚥 10 September 🚥
🔥 Don’t miss this chance to be part the future of #AI & #Crypto!
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