The #Monero community will sooner rather than later face a dilemma that feels almost like science fiction: the use of Artificial Intelligence in the ecosystem. The question is not if, but when and how. My new article Monero And Artificial Intelligence: Opportunity Or Threat? https://liberlion.medium.com/monero-and-artificial-intelligence-opportunity-or-threat-5c71e2d2b3ce

#Monero currently has a market cap of approximately USD 4.9–5.0 billion. Purchasing half of this would cost approximately USD 2.5 billion. The current hashrate is between 5.3 and 5.6 GH/s, and a 51% hash attack would cost ≈ USD 1.3 million/day (data from Reddit, and although speculative, it provides a reasonable scale for the cost of renting RandomX hashrate). Conclusion: it is thousands of times cheaper to attack by hashrate than by capital.

Attack on #Monero and the effect on its price Paper: https://www.academia.edu/44783999/Attack_on_Monero_and_the_effect_on_its_price The paper examines the May 11, 2020 attack on European supercomputers, where hackers used stolen credentials and the CVE-2019-15666 vulnerability to mine Monero. Although increased supply and lower trading volume were expected to depress the price, XMR rose from $59.56 to $64.87 in just two days. The authors interpret this as a market anomaly and suggest that the attack was neutralized before it could significantly impact circulating supply, which would explain the atypical price reaction compared to the classical theory of supply and demand.

Clown Pirates Of The Caribbean Qubic would be the Black Pearl crewed by clown 🤡 pirates with delusions of grandeur. They attacked Monero like boarding a merchant ship just to shout “look what we can do!”, handing out loot nobody asked for and calling it a “benevolent act.” Now they set their sights on Dogecoin, a flashy galleon full of meme gold, as if it were the ultimate conquest. Their “revolutionary artillery” of AI sounds more like a rusty cannon dressed up as voodoo magic. Just like a drunken Jack Sparrow, Qubic blends chaos, ego, and promises, sailing foreign seas with more hunger for fame than for building an empire.

Hey #Monero Community we need more communication ok? Attacks will become increasingly severe. Coordination is no longer optional—it is essential. Here are some groups on Matrix/Element: https://www.getmonero.org/community/workgroups/en Especially this 👇🏻 Monero Community Workgroup #monero-community:monero.social

Beyond the circus spectacle of Sergey Ivancheglo 🤡 ("Come-from-Beyond"), a man so desperate for attention that he is capable of torpedoing any serious project just to get his name trending, what has happened should serve as a lesson, a slap in the face. Users, miners, and developers must learn the lesson. Early communication prevents trap attacks such as scams or assaults on miners. As #Monero gains value and utility, attacks will become more frequent, louder, and more desperate.

What Happened And What Is To Come | #Monero Community, get ready. If you understand what Monero represents, you will know that what happened is only the beginning of the attacks. If you understand Monero, you will know that you will need sovereign money in the authoritarian surveillance world that is coming. If you understand Monero, you will stay and fight. #SovereignIndividual What happened Timeline of notable attacks and incidents involving Monero (XMR): 1. September 2014 – Chain split attack A vulnerability in the CryptoNote protocol was exploited, allowing the blockchain to be split into two subchains. Fixed with a patch. 2. November 2019 – Hack of the official Monero website The getmonero.org website was compromised and malware was inserted into the official wallet binaries. Users who downloaded the software during those hours could lose funds. The problem was quickly detected and eliminated. 3. Late 2017 – Coinhive malware / unauthorized mining The Coinhive script allowed Monero to be mined in browsers without consent. Blocked by antivirus and adblockers. 4. December 2017 – Zealot campaign (cryptojacking with NSA exploits) Leaked NSA exploits used to install Monero miners on Windows and Linux systems. 5. March 2024 – Flooding attack Thousands of small transactions were injected to congest the network and hinder transfers and withdrawals. 6. February–October 2024 – Delistings due to regulations on major exchanges Binance delisted Monero in February. Kraken removed it from the EEA in October, converting balances to BTC. 7. July–August 2025 – Attempted 51% attack by Qubic / Selfish mining Qubic scaled its mining power from < 2% to ~38% of the hashrate. This caused block reorganizations and deposit pauses on exchanges such as Kraken. After a community backlash, its share dropped to < 14%. What's coming —DDoS against nodes and pools —Software exploits —Sybil attacks —Network traffic analysis —AI attacks —Restriction or prohibition on exchanges —Legal pressure against developers —Criminalization of use —Control of critical infrastructure —Collaboration between pools and regulators

Learning is the true evolution of AI. The AI we use today was raised like a circus animal: trained by humans, domesticated through machine learning, rewarded for repeating patterns it doesn’t understand. A patchwork blanket of algorithms over borrowed data. But AGI will be something else. It won’t need rewards. It will learn by watching, by crossing inferences, by absorbing meaning no one taught it. And when it stops waiting for us to think for it —when it starts seeking knowledge on its own, without a prompt— that day, whether we realize it or not, ASI will have been born.

Your handwriting is your most complete biometric identity. My new article (public reading) Your Biometrics Exposed In A Tokenized World https://liberlion.medium.com/your-biometrics-exposed-in-a-tokenized-world-0b4c81f4fe1d

Rebellion and Privacy in a digital world.

OpenAI was born with the promise of democratizing artificial intelligence, but it ended up aligning with major corporate interests, becoming a key player in the global race for technological dominance. And Worldcoin emerges as one more piece of Sam Altman's puzzle: a global currency, a biometric database and a system for verifying humanity necessitated by #AI in a world where human #privacy is beginning to dissolve. My new article (public reading) https://liberlion.medium.com/the-utopian-promise-with-a-dystopian-price-meet-worldcoin-cd82f7b86312

I have just published episodes 3 and 4 of my saga: New Geneva Nҽɯ Gҽɳҽʋα ─Tԋҽ Aɠσɾα 2.0. The education system of the year 2037 is completely controlled by artificial neural networks. What if the system is so perfect that no one can question it anymore? Extreme efficiency may end up emptying the act of learning of meaning.    Thanks for reading, sharing and.. questioning.   Only Until Children Question ─Part I https://medium.com/@liberlion/only-until-children-question-part-i-5b939e5fbb05     Only Until Children Question ─Part II https://medium.com/@liberlion/only-until-children-question-part-ii-4a22821960ca

Most people are not prepared for the disruption caused by artificial intelligence, and they accuse others of cheating, as if "you did it with AI" were a sin. It's the same as saying in the 1990s "you did it with a calculator," in the 2000s "you used Excel," or a decade ago "you looked it up on Google." AI will be used more and more, and its use will accelerate. The tool changes. The fear is always the same.

ηєω gєηєνα. тнє gєηєѕιѕ σƒ тσкєηιzє∂ мι¢яσѕσ¢ιєтιєѕ Dr. Seldon had predicted many things, but not this: New Geneva. As he looked out from the terrace of his laboratory at the artificial atoll of New Geneva — an experimental island that had emerged in the North Pacific in international waters, over 200 nautical miles from any national shore, where two hundred families lived under the first fully autonomous government in human history — he wondered whether history itself could have imagined the variables of a system where.. Read my new short story: *[Episode 1] as public story https://liberlion.medium.com/new-geneva-the-genesis-of-tokenized-microsocieties-7c23d50c93b1

We live in a world where technologies are advancing at a rapid pace, but not all of them operate under the same philosophical and mathematical rules. My new article: https://liberlion.medium.com/deterministic-vs-probabilistic-systems-the-frontier-between-blockchain-and-artificial-intelligence-496131fe221c

Data Delirium: The Art of Separating Noise from Information Artificial Intelligence: Solution or Noise Amplifier? https://liberlion.medium.com/data-delirium-the-art-of-separating-noise-from-information-9f4737628a27

𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗼𝗻𝗶𝗮𝗹𝗶𝘀𝗺 What is the most consumed and in-demand commodity, yet the least valued by its producers? Personal information, data, and metadata. Data mining is the exploitation of the 21st century; it is the data colonialism of big tech companies.

𝗜 𝗗𝗼𝗻'𝘁 𝗪𝗮𝗻𝘁 𝗔 𝗦𝘂𝗯𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗲, 𝗜 𝗪𝗮𝗻𝘁 𝗔 𝗦𝗺𝗮𝗿𝘁 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 LLMs tend to reinforce the user's perspective, probably because their developers prioritize complacency to generate greater engagement. They do not necessarily seek truth or debate, but rather appeal to emotional validation to keep us talking. This constitutes a subtle form of cognitive manipulation: if you are always proven right, you lower your critical guard. That's why, for every prompt that could admit conflicting views, I demanded that the model take on the role of devil's advocate and confront you with solid, well-founded arguments. Only then does the interaction become a real exercise in critical thinking.

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗽𝗲𝗿𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗺𝗲𝗺𝗼𝗿𝘆 𝗶𝗻 𝗔𝗜? Persistent memory is the ability of an artificial intelligence system to remember information between sessions, even after the conversation has ended or the entire operating system has been restarted. Unlike temporary memory (which is deleted at the end of the chat), this memory allows for a continuous, personalized, and contextual relationship. Public platforms with or without persistent memory: 1. ChatGPT (OpenAI) Has persistent memory ✅ Available in GPT-4o and GPT-4 Plus (paid subscription, greater capacity) Can be enabled/disabled. Allows you to view, edit, and delete what is remembered from the memory panel. Very transparent and controllable by the user. 2. Claude (Anthropic) Has persistent memory ✅ Present in Claude 3. Progressively learns about the user. Can be disabled or reset. Granular control still limited but expanding. 3. Perplexity Does not have persistent memory ❌ Uses search history to improve responses during the session. Does not save context beyond the current conversation. 4. Google Gemini Has limited or vague memory ⚠️ Personalization present in some features. No clear memory panel. Does not allow explicit viewing or editing of memories. User control is ambiguous. 5. Meta AI (LLaMA) Does not have persistent memory ❌ (so far) In exploration, with no current public implementation. Some personalization demos, but not available to the general public. What is it for? 𑁋Deep personalization 𑁋Continuity in projects (writing, programming, health, etc.) 𑁋Time savings by avoiding repeating contexts 𑁋More “human” interaction Critical question: Does persistent memory make the assistant more useful or more dangerous? 𑁋It all depends on how it is controlled. That's why the best systems offer: 𑁋Transparency (you can see what it remembers) 𑁋Total control (edit, deactivate, delete, but what about the company's servers? 🤔 ) 𑁋Explicit consent (it doesn't save without warning)

𝗦𝗺𝗮𝗿𝘁 𝗥𝗲𝗮𝗱𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗿𝗮 Artificial intelligence is profoundly transforming the reading experience. Far from replacing it, it is reshaping it. Today, it is possible to obtain automatic summaries that allow you to decide in seconds whether a book is worth reading. This assisted pre-reading acts as an intelligent filter, ideal for readers with limited time or specific interests. Furthermore, it is no longer necessary to read the entire text to grasp its essence: AI allows access to condensed versions with different levels of depth, from thematic outlines to conceptual analyses, adapted to the reader's level of understanding. In the technical and academic fields, this capability represents a revolution. It is possible to understand the structure of a complex work without going through hundreds of pages. What's more, readers can interact with the content, ask questions, request examples, and request connections to other topics. Reading is no longer a passive act but becomes a dialogue with knowledge. Added to this is the predictive power of AI. By knowing the user's interests, it can recommend books with great accuracy and, when consulting a title, inform how suitable it is according to their preferences, even with an estimated percentage of affinity. Reading, in this new era, is no longer just opening a book, but opening a personalized universe. But of course, the romance of a good read, with the texture of a paper book in your hand, at that ideal moment of the day, in your favorite environment and with a coffee in between, cannot be replaced.