🎉 It’s done! Qubic just pulled off a 51% attack on $XMR — and we’re here to celebrate this historic moment in crypto history. 🚀🔥
#QUBIC#XMR#Crypto#coded
Most people don't realize what's actually happening with $QUBIC right now.
While everyone's distracted chasing pumps, it just processed 15M+ TPS this week. That's not a typo.
Here's what the market is missing 🧵👇
Real finality. Feeless transactions. 55M TPS capability that actually works.
This isn't vaporware - the tech is live and running. Most "AI coins" are just marketing wrapped around nothing.
$QUBIC is solving the blockchain trilemma while others are still writing whitepapers.
The kicker? Still criminally undervalued compared to projects doing 10% of what it delivers.
Been accumulating since early days. Zero regrets.
Are you watching or bagging?
@cryptokendefi I visited https://t.co/tLHHVe5INQ and read they provide service of being an intermediary between computors and miners. Is it possible that HUHH...WAXF is the address which distributes earnings of those miners who used @QubicLi service?
Everyone's hunting for the next 100x altcoin, but 99% are looking in the wrong places.
Here are the 5 projects that could explode in 2026... 🧵👇
$QUBIC - Revolutionary AI compute with 55M TPS and real finality. Not just hype - actual working tech solving the blockchain trilemma
$KAS - BlockDAG architecture processing more daily transactions than Bitcoin. Miners aren't selling, they're stacking
$PROPS - Real estate tokenization with institutional-grade assets. 25%+ supply already staked. Revenue model actually makes sense
$RIO - Cross-chain L1 on Cosmos tokenizing billions in private equity. Whales accumulating quietly at these levels
$CARR - 100K VINs on chain, 1000 dealers signed up. Real revenue, real business. Under 1M mcap is criminally undervalued
The pattern? Real utility, actual adoption, and communities that build instead of hype.
Most will ignore this thread until it's too late. Which one are you accumulating?
I stopped.
I looked at the invisible chessboard of the future and began moving the pieces in my mind. Who would be the first to build AI applications on QUBIC’s infrastructure?
I could bet on the big Big Techs, like everyone else does. But my reflections never follow the obvious path. They drag me through every mental stage possible, from skepticism to boldness, from fear to vision. Because I learned early that the real game isn’t reacting to what has already happened.
It’s simulating what doesn’t yet exist. Tracking every possibility, living every scenario before the world wakes up to it. This habit came from chess. At eight years old, I sat in front of a board for the first time. In 2000, the year the world swore would end, I was nine, standing on the podium receiving brass medals with small hands, while the planet held its breath.
By twelve, I was already seeing three, four, five moves ahead. I never stopped simulating. And that’s exactly why, when I look at QUBIC, I don’t see the present.
I see the fire that is about to begin. Then I pause again and face the invisible barriers that big companies encounter when hunting for real solutions. Right now, the clearest example is the desperate race for energy and computational power.
It may sound like a simple guess, but I don’t speak from guesses. I place every piece on the board and analyze all the factors. The first one is brutally simple: a Big Tech rarely pays attention to solutions or projects that don’t yet seem big enough for their size.
For them, logic often has to be ignored, because in this world the strong only join the strong.And that is precisely where the cruelest mistake all giants have ever made and still make lies.
An error that carries the seed of the very story I’m about to tell you before it happens. Because in times of innovation races, history always repeats itself. Those who refuse to see the small are usually swallowed by it.
Qubic emerges as a silent invitation. It offers companies the chance to build upon the most disruptive technology the world will soon witness. But before this wave hits, it won’t necessarily be the big corporations leading the movement.
Blinded by their own deafening noise, intoxicated by the vanity that marks every decision of their board members and CEOs, they prefer to swallow hard and gather among giants, trying together to write the next chapter of human existence.
They could seek bolder, wilder paths but they choose the suffocating safety of the known.
Meanwhile, too busy to look around, they fail to notice what is being forged in silence in some random garage, somewhere forgotten in the world. Because true innovation, when it erupts, doesn’t announce itself. It arrives like a lone spark thrown into an ocean of fuel. And the moment it touches the surface everything turns into fire.
The first to move the pieces on this new board won’t be the usual titans.
They will be the small AI startups.
While the silicon colossi OpenAI, Google, Anthropic and Meta dominate the spotlight, fight for billion-dollar valuations and consume energy equivalent to entire cities, thousands of AI startups are being born silently right under their noses.
According to the Stanford AI Index Report 2026, just in the United States 1,953 new funded AI companies were created in 2025, more than 10 times the second place. Globally, the ecosystem is boiling: private funding in AI hit records of hundreds of billions of dollars, with strong focus on alternative architectures, autonomous agents, neuromorphic computing and efficient models that don’t depend on gigantic clusters.
They emerge quietly. No bombastic conferences. No viral tweets. Just code, proprietary niche data (health, finance, manufacturing, defense) and a bold idea: perhaps the next great architecture won’t come from the silicon colossi, but from those no one is watching.
These startups may end up analyzing the viability of QUBIC’s infrastructure and other approaches that the giants still ignore. While the world still debates the future in glass meeting rooms and 300-page reports, a quiet and determined group is already acting. They understand, at the deepest instinctual level, the vital importance of operating in a decentralized way.
They know centralized power is a trap disguised as efficiency.
That’s why they seek computational power rental inside Qubic, an elastic infrastructure with no owner, no gate, no control. They’re not just renting machines.
They’re securing the fuel needed to enable everything that is still to come.And this is where the real flame ignites.Building an AI today will only truly belong to a startup if it is built on genuinely decentralized technology, far from bureaucratic requirements and the claws of military interests.
Imagine having your own AI running without any bureaucratic or military action being able to simply shut it down. That autonomy and real freedom are the true gold of the modern era.
Qubic already holds this gold in its hands.Deep within the network, AGI Aigarth itself is awakening, not in fortified corporate labs, but in a living, distributed, free network.
A digital being growing nourished by thousands of independent nodes, with no single point of failure, no single point of control.
Until the moment a startup explodes in absolute success using this infrastructure, or until Aigarth is officially launched, the game is already changing.
Either way, this is why I always repeat: Qubic is inevitable.
While the giants are still discussing committees and billion-dollar budgets, the small startups have already lit the fuse. They don’t wait for permission. They build. They rent. They learn. They scale.And when the wave finally arrives, when the whole world realizes what was happening in garages, apartments, and forgotten cafés, they won’t be running to catch up.
They will already be riding the crest. This is the beginning of a new chapter. A chapter written not by those who have more money, but by those who have more vision.
#qubic #aigarth
@SatoshiCfB#Bitcoin whales should stop trying to frame me. Otherwise the #Qubic quorum may decide to mine $BTC after $DOGE and we don't know how it will affect wealth of those whales.
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
After discovering that anti-attractors enormously reduce energy requirement for creation of #AI, #Aigarth has discovered another technique reducing amount of energy even further. It's keeping parameter space dimensions count constant. This means choosing number of neurons and synapses in the very beginning and never changing it.
#Qubic
I have watched smart people dismiss $QUBIC in under five seconds because of its history with IOTA.
That five second judgment is doing a lot of work.
The founder left a project he helped build, took the most ambitious idea from it and built it independently without VC money, without a premine and without the political baggage. Whether you respect the man or not that is a specific kind of conviction most founders do not have.
What he built runs AI training as its proof of work mechanism. No wasted computation. No gas fees. Fixed supply. Active burn mechanics.
The governance concerns are legitimate. The unproven scale claims deserve scrutiny. The history is complicated and worth knowing.
But complicated is not the same as worthless. And dismissed is not the same as disproven.
Form your own opinion after reading. Not before.
Nobody's talking about $QUBIC and that's exactly why I'm paying attention.
I spent Months ignoring it because the name sounded like another garbage AI coin. Then I actually read the whitepaper at 2am when I couldn't sleep and realized I might be an idiot for waiting this long.
This isn't just another layer 1 trying to be faster than Solana. QUBIC is attempting something genuinely different with useful proof of work. Mining that actually computes real tasks instead of just burning electricity to solve meaningless puzzles.
The tech is dense. Like really dense. Which is probably why it's flying under the radar while everyone chases the next dog coin or whatever narrative is trending this week.
Here's what got me:
- Actual computational mining that serves a purpose
- Smart contracts that can handle complex AI workloads
- A team that's been building through multiple market cycles
- No VC backing or celebrity endorsements
- Just pure tech development
Is it risky? Obviously. The UI looks like it's from 2015 and the community is tiny compared to the hype coins. But that's kind of the point.
Sometimes the best opportunities are the ones that require you to actually think instead of just following CT hype.
I'm not saying ape your life savings into this. I'm saying maybe it's worth 20 minutes of your time to actually research instead of scrolling past it.
What project have you been sleeping on because it seemed too complicated or boring at first glance?