Por esto necesitamos un modelo totalmente diferente e innovador para alcanzar la AGI ... #Qubic $Qubic

Oracle declared force majeure on a New Mexico data center because the power is not there. The site stops, and the model’s calendar now depends on a high-voltage line and a permit, while the labs keep talking about alignment and global rules. Neuraxon trains on ordinary processors, with no cluster to deliver and no 1,400-acre park to feed. I hold qubic-network:native for training that does not wait on a grid hookup; if the bench stops moving, the thesis does not hold. Judge what the machine does.

Sorry Solana, Ethereum, XRP, and company fans… QUBIC will be the crypto with the most explosive ROI in the coming months and years. And I’ll explain why destiny has this reserved. Being an AI academic gives me some advantages. Even though I’m deep into advanced concepts and developing my own models, I’m waiting for the Qubic API as soon as it becomes technically favorable for my project. But let’s get to what really matters so the community can understand what’s happening. When the system becomes available in a decentralized and global way, the ARC-AGI-3 score will indicate the real level of useful intelligence. Here’s the percentage roadmap: 0.2% – Current Stage (Qubic ) • Learns simple rules from just a few examples • Solves basic puzzles and visual patterns • Already outperforms many LLMs in pure reasoning (no GPUs) → Ideal for experiments and very specific tasks 1% to 2% – First Public Version • Basic abstract reasoning • Learns new games or tasks from few examples • Automates simple flows that change rules • Useful for light robotics, data analysis, and education → Can already be used by companies for repetitive tasks 5% to 10% – Useful Version • Agent that adapts to new environments • Simple multi-step planning • Helps with scientific research and process automation • Robot control in semi-unknown scenarios → Real tool for developers, researchers, and small businesses 20% to 40% – Strong Impact • Solves complex problems with creativity • Reliable autonomous agents • Collaboration with humans on creative and technical tasks • Applications in supply chain, medicine, engineering, and finance → Starts replacing human work in several areas 60%+ – Near-Human Level • Real AGI in open environments • Creation of new knowledge • Advanced robots and autonomous systems • Economic and scientific revolution → Era-changing moment What’s Qubic’s big differentiator? Everything runs in a **decentralized** way, at extremely low cost (regular CPU + $QUBIC as gas) and without depending on Big Tech. The future of AI won’t be just “more parameters.” It will be **more intelligent with fewer resources.** We are entering the phase where Aigarth’s training will collide with the global race for AI as a sovereign defense infrastructure for nations. Countries are already printing money to subsidize AI focused on security and independence (China leading, followed by other nations). The US is heading in the same direction. This will create an explosive impact on cryptos with real AI infrastructure. QUBIC will be the universal democratic model**: economical, well-structured, and built as a genuine AGI - using ternary technology that current LLMs don’t have. When a decentralized AI can be officially used at global scale, QUBIC’s market cap should enter the Top 5. The evidence from the traditional world is clear: there will be enormous demand for a reliable, truthful cognitive engine free from external influences. QUBIC will be considered the highest ROI asset of the next decade. Qubic is inevitable! #Qubic #Aigarth #Neuraxon #AGI

🧠 @c___f___b proves his genius once again! The formula for Aigarth AGI will be revealed to tech giants only after $QUBIC touches $0.01. Prove functionality on mainnet first, create massive value, and force institutions into the economy. Masterclass in game theory. 💎🚀 #AGI

History repeats itself. Before the epic runs of NXT and IOTA, @c___f___b always challenged market leaders, gathered FUD, and turned it into global attention. The current $KAS provocation is the exact same game theory. We are closer to the $QUBIC big bang than most realize. 🧠🚀🌋

@BlackRock just published "The Machine-Native Economy". Wall Street is finally theorizing a future where autonomous AI agents execute continuous machine-to-machine (M2M) transactions, powered by decentralized compute. They are actively looking for the holy grail of AI x Crypto. While institutions write whitepapers about a hypothetical infrastructure, qubic-network:native is already executing it. Match BlackRock’s thesis with $QUBIC’s hardcoded reality: - M2M Micro-transactions? $QUBIC is structurally feeless. - Decentralized AI Compute? $QUBIC’s uPoW is explicitly dedicated to training AGI (Aigarth). - Machine-Native Value? Every network execution triggers a hyper-deflationary burn. BlackRock is literally describing the exact ecosystem CFB built. They are searching for a Layer 1 that can handle an autonomous, machine-driven economy without crumbling under fees. Once institutional capital connects the dots and discovers the mathematical end-game of $QUBIC's utility-driven supply shock, the repricing will be violent. Study the convergence. Courtesy of X7 🫡 🥷

All know-hows will be revealed after qubic-network:native price touches $0.01, before that it's available on #Qubic mainnet only.

We have identified interesting features of #Aigarth's #AI training algo: 1. It creates hypotheses, verifies them, drops wrong ones, returns to put aside ones; 2. It uses the same pattern for different phenomena if they have similarities, applies little modifications to the pattern if necessary; 3. It chains simple calculations into complex ones, rearranges them. All this looks similar to how hoomans reason.

Satoshi sigue vivo, es un cypherpunk, creo que el gobierno sabe quien es, Sergey N. Ivancheglo, y creo que tienen algún tipo de acuerdo basado en "confianza" de amenazas mútuas. Tengo más de 100 páginas de historia con indicios y evidencias de lo que digo que pronto publicaré.

🔥 QUBIC IS ABOUT TO PREDICT BITCOIN. Come-from-Beyond just announced that a real-time BTC price predictor is launching in the coming weeks. Every hour, it will output one prediction: BTC UP 📈 or BTC DOWN 📉 And this won’t stay inside a laboratory. A public experiment is being organized where participants will each start with $100 and trade BTC using the predictions, with balances tracked and results published daily. Real money. Real-time data. Public results. No theoretical benchmark. We’re about to see whether the intelligence being built inside the Qubic ecosystem can extract a measurable signal from one of the most competitive markets on Earth. The experiment begins soon. qubic-network:native

In the coming weeks, $QUBIC will launch #Bitcoin price prediction, and it will be free. $QUBIC’s true AI will tell you whether the next BTC candle is going up or down, and you can potentially make money from it. Sounds crazy, right? 👀 No other project can go this far because it’s an extremely difficult task, almost impossible. And if it can’t predict accurately, it could hurt the project. But $QUBIC is going straight into one of the most difficult task to predict BTC price, because it has #Aigarth and True AI, and it could surprise the world 🔥 100X loading. Just prepare your seat belt 🚀 #QUBIC #Aigarth #TrueAI #Bitcoin #BTC #Crypto #AI #ArtificialIntelligence #CryptoAI #BitcoinPrediction #BTCPrediction #Web3 #Blockchain #DePIN #Altcoins #100X

I am a professor of religious studies, and I wrote two books: about a blockchain and about its creator. This is the most incredible story I have ever come across. Twenty-five years of deliberate movement toward real, decentralized artificial intelligence. #Qubic

$QUBIC price is indeed not following current "pump" now. Because some holders are selling trying to jump on memecoin train (like $LAPTOP, haha). We know how it will end, I did the same with NXT and IOTA: We'll get rid of most of those who would sell at 10x and teleport straight to 100x-1000x range.

A funny incident involving #AI happened yesterday in the #Qubic community. The AI did what it was instructed to do but not what we expected. Its task was to construct a model for price prediction based on hourly price changes with noise. Yellow column shows score used by the fitness function (data with noise), green column is score on denoised data. After one mutation the AI improved its fitness function value by around 100 points but that significantly improved its model (en.wikipedia.org/wiki/Grokki…). We wanted the AI to predict price but we told it to construct a model of price-defining factors assuming that it would lead to correct price predictions. And the AI did what it was told to, though it happened to be pretty useless (because a model not accounting for noise doesn't predict prices well). What have we learned from this? Just like talking to a genie when asking for a wish, be very careful in wording. Otherwise, one day we'll ask a super-AI to make it so that humans never get ill and it will eradicate the humankind.

There are many scenarios how an #AI might kill the mankind, but who said everybody must be affected? I can imagine a scenario where only parasites, sorry, I mean financiers will suffer. For that it's enough for a single #AI capable of predicting future prices to emerge. Humans will be unable to trade against such the AI and will be forced to switch to doing real work, growing crops, for example.

Remember when myriad universes were created, each with a distinct set of physical constants, and only ours gave birth to the humankind?.. Of course, you don't. Anyway, we (in #Qubic) have modified our $BTC price predicting models and now they behave like those universes. Only few, successfully predicting the price, will survive. This approach improved the speed of training by two orders of magnitude. It also sped up verification, so now we can scale 100-fold.