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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