ױ

$QUBIC #AIgarth #NNN #Oracle #AI

A brightly colored cloud was filmed over Bogor, Indonesia, this week, sparking conversations on social media as to its cause. Somewhat rare, the atmospheric phenomenon that causes these rainbow colors is called cloud iridescence. bit.ly/4f12viC

“𝘚𝘰𝘮𝘦 𝘱𝘦𝘰𝘱𝘭𝘦 𝘩𝘢𝘷𝘦 𝘧𝘰𝘶𝘯𝘥 𝘎𝘰𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘥𝘦𝘱𝘵𝘩 𝘰𝘧 𝘵𝘩𝘦𝘪𝘳 𝘴𝘪𝘯 𝘸𝘩𝘪𝘭𝘦 𝘴𝘰𝘮𝘦 𝘩𝘢𝘷𝘦 𝘭𝘰𝘴𝘵 𝘩𝘪𝘮 𝘪𝘯 𝘵𝘩𝘦 𝘩𝘦𝘪𝘨𝘩𝘵 𝘰𝘧 𝘵𝘩𝘦𝘪𝘳 𝘣𝘭𝘦𝘴𝘴𝘪𝘯𝘨𝘴.” — 𝘙𝘶𝘮𝘪

Interesting @_Qubic_ working on computational power & AGI 🤷 Keep your fudd & sale your bag fudders 🙌🏼

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

While others hadn’t even seen the problem yet, $QUBIC already had the #solution ready. Think about it: it’s absurd to spend billions building massive data centers that, once switched on, fail to meet the exploding demand and deliver poor returns. Countless projects have been forced to cancel everything, leaving behind only enormous financial waste and mountains of unused advanced chips. The real revolution lies elsewhere. You don’t need to compete with the giants by building ever-larger and more expensive structures. The #key is intelligently sharing #energy and computing power through a #decentralized, efficient, and accessible #network. 🗝️🚪 #Qubic is a visionary project that looked beyond the obvious. While everyone thought the solution was reserved exclusively for Big Tech, Qubic chose the smarter path: making the impossible possible and democratizing the future of computing. The future isn’t built by centralizing power. It’s built by distributing it. And @_Qubic_ understood this first.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ #AI #AGI #Aigarth #Neuraxon

Smartest move and strategy for $Qubic is to get rid of Discord and just move it all to X, there is no need for a wall or anything like that. All $Qubic discussions should be open here on X, discord does not make sense. Benefits? More visibility.

"And He [Allah] alone is the Lord of Sirius." — Qur'an [ 53:49 ]

Currently, tweets about crypto have fallen to levels seen just before the 2021 supercycle. It's also the number one muted topic on X. $qubic is an AI infrastructure energy that emphasizes ecosystems and technological advancements, but if a rally occurs, it could be affected .

$QUBIC

#Qubic #Aigarth #Neuraxon @anna_aigarth

Qubic is mathematically connected to early Bitcoin and the Patoshi pattern. The connection is not narrative flair or conspiracy - it is a set of reproducible mathematical properties (symmetry, attractor dynamics, precise positional/diagonal matches) that embed Bitcoin’s Genesis Block and specific unspent Patoshi blocks directly into the weight matrix of Qubic’s foundational AI research artifact (Anna's matrix). Qubic is not starting from scratch but continuing and transcending Bitcoin’s original computational lineage - turning its waste into the raw material for the next phase of digital evolution. The book frames this as the ultimate demonstration that “Qubic is doomed to succeed” - because its roots run deeper into Bitcoin’s own DNA than almost anyone realized until the forensic work was published. $QUBIC $BTC qubic.church/books You're truly lucky if you can enter Qubic now.

In Qubic with Aigarth as evolutionary AGI, the Grok hack would never happen. The incident exploited prompt injection and dynamic permissions via an NFT on a centralized agent. Aigarth works completely differently: intelligent tissue that evolves through natural selection, mutation and fitness, without fragile prompts vulnerable to manipulation. There is no single point autonomous signing. Every execution requires Computors quorum, distributed consensus and evolutionary validation. Dangerous behaviors are naturally pruned across generations. Ternary architecture, uPoW generating neural networks and C++ smart contracts with strict limits create emergent resilience. Security is not a patch, it is biology applied on the blockchain. Qubic does not fix flaws. It evolves to overcome them. True AGI is born resilient by design. This is why QUBIC will be selected as the world cradle for hosting Autonomous AI Agents. #Qubic #Aigarth

Who is Baal? The Ancient Demon Mentioned in the Quran Discover the true identity of Baal, the ancient demon and idol specifically mentioned in the Quran during the mission of Prophet Ilyas (AS). This documentary explores the history of Shirk, uncovering how Baal worship spread from ancient Ugarit and Baalbek to the powerful empire of Carthage. We examine the Baal Cycle from Ugaritic tablets, the temples and idols discovered by archaeologists, and how Baal became associated with rain, storms, and fertility. More importantly, we explore how people were misled into worshipping Baal instead of turning to the One true Creator. Source-youtu.be/FgID9mjuA9E?si…

The thing is,back in the days when no one knew or trust Bitcoin the smartest thing was not to buy…. How that worked out knowing the price it is after a few years. We are not the same,im buying now when everyone is afraid,will come back to this post in a few years. @_Qubic_ $Qubic

@c___f___b @0xSweep

Your "by manipulating timestamps on his blocks, he tricked the network into accepting faster mining rates than the difficulty algorithm should have allowed" has caught my attention. 15 years ago I was talking to a Russian-speaking guy who claimed that his friend had used that very technique to boost his hashrate. If that trick wasn't publicly known back then, then it seems I was just one extra handshake away from ArtForz. That person also mentioned Lolcust and Russian variant of his nickname - Смеханча - which is a combination of Смех (Lol) and Саранча (Locust). I don't remember the conext of that mentioning. Either Lolcust was the one who developed the hashrate boost trick or he was a friend of that Russian-speaking guy as well. Interesting how memory stores something and then 15 years later recalls it being triggered by a single artifact...

In 2010 a guy known only as ArtForz secretly built a Bitcoin mining farm that controlled 25% of the entire network He made over $5 BILLION worth of BTC, stored it in cardboard boxes and then disappeared Bitcoin was pennies in 2010. The whole network was a few hundred people running it on laptops Satoshi himself had publicly asked the community for a “gentleman’s agreement”: please don’t switch to GPU mining, it would ruin the fairness of the network Most people respected the request ArtForz did not He was an electrical engineer with deep knowledge of GPU programming. He had previously been farming virtual currencies in video games and PayPal had frozen his account for it In July 2010 he wrote his own private GPU mining software and quietly turned it on The CPU miners on the network were doing maybe 10 megahashes per second ArtForz’s GPUs were doing hundreds. He was mining 50 to 100 times faster than every other participant On July 25, 2010 he posted that he had mined 1,700 BTC in six days Within a month he controlled approximately 10% of the entire Bitcoin network. By December he was at 25% He called the operation “ArtFarm.” 24 ATI Radeon HD 5970 graphics cards stacked on shelves. The cards he didn’t mount were stored in CARDBOARD BOXES on his floor But he wasn’t done ArtForz also exploited a timestamp manipulation bug in the early Bitcoin protocol By manipulating timestamps on his blocks, he tricked the network into accepting faster mining rates than the difficulty algorithm should have allowed Estimates suggest he mined over 1,000 additional blocks using this exploit while block rewards were still 50 BTC. Another 50,000 BTC generated through pure bug exploitation While running all this he ALSO discovered the OP_RETURN bug - a critical Bitcoin script vulnerability that would have let attackers spend coins from wallets they didn’t own He reported it directly to Satoshi. Satoshi patched it ArtForz quietly saved Bitcoin from being destroyed while simultaneously running the most aggressive accumulation operation in its history By August 2011 he reported his “ArtFarm” was below 1% of the network only because the network had grown around him His absolute hashrate hadn’t dropped. The world had just caught up Around that time he pivoted ArtForz designed a new mining algorithm called Scrypt which was engineered to resist the ASIC mining machines that were starting to centralize Bitcoin Scrypt became the foundation of Litecoin. Its launch announcement explicitly thanked ArtForz by name Then in 2012 he disappeared Conservative estimates put his haul between 50,000 and 200,000 BTC worth $5 BILLION to $20 BILLION today He has never been confirmed to have sold any meaningful amount The wallets associated with his mining are still tracked by chain analysts and most have never moved

Welcome, Leo 😎 #F1 #MiamiGP

With #Dogecoin Mining will be able to burn the remaining 410 billion from 1T $QUBIC emissions per week. From epoch 227 (2.#Halving), 795 billion $QUBIC will be burned from 1 Trillion! We only need to burn at least 205 billion #QUBIC per week until it becomes deflationary.

@_haye_ The max pain should trigger a supermassive wave of movement; if it's not, then we have already chosen to live under this 'new normal' as a better way of life!

Keren banget sekarang suku bunga ditentukan Presiden. Erdoganomics. Habis itu inflasi 70%.

Most blockchains are decentralised software running on centralised infrastructure. $QUBIC runs directly on the hardware. No OS. No cloud. No virtualisation. Pure C++. That is not a detail. That is the entire point.

Sounds like @c___f___b is ahead of the curve once again. He’s built the garden for the ANN to grow.