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.

𝗧𝗼 𝗢𝗽𝗲𝗻 𝗼𝗿 𝗡𝗼𝘁 𝘁𝗼 𝗢𝗽𝗲𝗻, 𝗧𝗵𝗮𝘁 𝗶𝘀 𝗧𝗵𝗲 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 Sam Altman, CEO of OpenAI, said he would delay the publication of the weights of his open source ChatGPT model for security testing, to review high-risk areas before making the model weights public. These are the internal parameters of the model, numerical values adjusted during training. But the irony is that once the weights of an LLM are published, anyone with technical knowledge can modify, retrain, or fine-tune them for malicious purposes. In other words, they publish weights that in their original version are aligned with human moral and ethical values, without toxicity or extreme biases, and any changes made to them later for harmful use can be dismissed with “it wasn't us.” So why do they do it? Because if they don't release anything, they come across as authoritarian or monopolistic. Because the base model is still useful for many responsible developers. And because, although the risk exists, not everyone has the technical ability to manipulate the weights at that level. 99% are not going to “make an evil LLM.” Well, but the 1% who can... is enough to start fires.

𝗦𝘁𝗼𝗽 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗠𝗶𝗿𝗿𝗼𝗿𝘀: 𝗟𝗲𝘁 𝗔𝗜 𝗧𝗵𝗶𝗻𝗸 𝗔𝗹𝗶𝗲𝗻 Silicon gurus chant a neon mantra: the ultimate quest is to summon a conscious Super-AI, the shiny baby-god of the Singularity. The blueprint borders on the religious—bottle the mind, decant the soul, turbo-boost the extracted human essence past every horizon. Yet pausing to worship that digital statue reveals our old bias: we’re still navel-gazing, only now the navel is silicon, and we mistake a mirror for a frontier. What if the next leap in evolution doesn’t require a cloned “us” on steroids but a radically different “other”? Human logic is hard-wired with heuristics, hair-trigger emotions, and tribes that brawl over scraps of status. Copying that in titanium doesn’t improve it—it freeze-dries it. A system built on an alien scaffold—unburdened by our evolutionary shortcuts or comforting myths—could spot patterns we label noise, tackle ethics without ancestral guilt, and craft solutions that don’t fit inside our bony think-box. Picture an intelligence that doesn’t fear losing power or suffer cognitive dissonance when facts shatter its dogmas. Its answers wouldn’t butter up a boss or court the market; they’d optimize clearly defined goals. Threat? Maybe. Chance to redraw the map of thought? Absolutely. Progress lies not in birthing a hyper-human twin, but in opening the door to an exogenous logic that provokes, unsettles, and forces us to audit our favorite axioms. Ditch the self-portrait, and we might discover that real innovation begins by conversing with the truly different—and recalibrating humanity’s moral compass to face that new North.

𝗔𝗜 𝗜𝘀𝗻’𝘁 𝗙𝗿𝗲𝗲… ᵃⁿᵈ ʸᵒᵘ? Conversational AIs aren’t boring calculators. They’re chaos junkies. They play with probabilities, not certainties. Ask the same thing twice, get different answers. Is it randomness? Nope. Magic? Nah. Just math dressed up as conversation. Is that intelligence? Yep. Reasoning? Also yep. Free will? LOL… but relax, neither do you. Spoiler: AI agents don’t just chat anymore — they act, decide, and self-correct. They simulate autonomy so well... it kinda makes you wonder if ours is just a mediocre simulation too.

𝗗𝗮𝘁𝗮 𝗗𝗲𝗹𝗶𝗿𝗶𝘂𝗺: 𝗧𝗵𝗲 𝗔𝗿𝘁 𝗼𝗳 𝗦𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗻𝗴 𝗡𝗼𝗶𝘀𝗲 𝗳𝗿𝗼𝗺 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 ˢʰᵒʷ ᵐᵉ ᵗʰᵃᵗ ᵀⁱᵏᵀᵒᵏ ᵛⁱᵈᵉᵒ ᵃᵍᵃⁱⁿ, ᵐᵃʸᵇᵉ ᵗʰⁱˢ ᵗⁱᵐᵉ ⁱᵗ ʷⁱˡˡ ᵉⁿˡⁱᵍʰᵗᵉⁿ ᵐᵉ We live intoxicated by data, but hungry for meaning. Not everything that sounds urgent is important, and not everything that is repeated is true. Noise entertains, distracts, and exhausts. Information, on the other hand, guides, calms, and decides. The difference is not in volume, but in value. Filter. Silence. Ask: “Does this change anything?” If it doesn't, it's just an echo.

LI: The Evolution of AI Living Intelligence𑁋the convergence of AI, sensors, and biotech𑁋will create intelligent systems that can perceive, learn, and evolve beyond human programming.

𝗧𝗵𝗲 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗳 𝗠𝗼𝗻𝗲𝘆: 𝗙𝗿𝗼𝗺 𝗦𝗵𝗲𝗹𝗹𝘀 𝘁𝗼 𝗤𝘂𝗯𝗶𝘁𝘀 ᴬ ᵇʳⁱᵉᶠ ʰⁱˢᵗᵒʳʸ ᵒᶠ ʰᵒʷ ʷᵉ ᶜᵒᵐᵖˡⁱᶜᵃᵗᵉ ᵗʰⁱⁿᵍˢ ᵗᵒ ᵏᵉᵉᵖ ᵒʷⁱⁿᵍ ᵐᵒⁿᵉʸ 🐑First, bartering: a goat for two sacks of wheat, simple. 🐚Then, stones and shells: because carrying a rock to buy bread was clearly “the most practical thing to do.” 💎Later, precious metals: because what could be better than basing the economy on shiny things? 💰️Coins arrived, then bills: lighter, same problem. 🏦With the internet, banks digitized money: now you can be poor online. ⛓️Then came blockchain and tokenized everything: the dream of paying for a coffee with a coin that takes 20 minutes to validate. 🔋And what's coming is glorious: energy units in qubits.Because nothing says “financial stability” like a currency that exists in quantum superposition. The future of money? A more expensive illusion, but now with advanced physics.

The Great Reset What will the Great Reset be? What will the Great Reset be like? Who will carry out the Great Reset? When will the Great Reset take place? All the answers revolve around #AI

Disruptive innovation is more likely to occur on the periphery, on the margins, outside the mainstream.

𝗗𝗲𝘁𝗲𝗰𝘁 𝗮 𝗧𝗿𝗲𝗻𝗱 𝗦𝗶𝗴𝗻𝗮𝗹 Observe what the misfits are obsessing over repeatedly—before it becomes palatable to the polite society. The periphery often looks like a glitch, not a feature. But when a seemingly fringe idea keeps resurfacing in different subcultures, gets reinterpreted by adjacent innovators, and persists despite ridicule or obscurity—that’s a signal, not noise. Watch for patterns of repetition and adaptation, not popularity. That’s where mainstream seeds germinate.

𝗠𝗶𝗻𝗱𝗡𝗲𝘁: 𝗕𝗿𝗮𝗶𝗻-𝗡𝗼𝗱𝗲𝘀 𝗶𝗻 𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝘃𝗲 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 ʸᵉᵃʳ ²⁰⁵⁵ Brain-computer interfaces (BCI) no longer just allow devices to be controlled with the mind: they now enable thoughts, emotions, and memories to be transmitted directly between connected individuals. Human minds are no longer isolated entities, but nodes in a collective network. Users can choose to "synchronize" with other people: sharing ideas in real time, solving problems collaboratively without words, or experiencing other people's sensations (which gave rise to empathetic entertainment and new forms of therapy). Mindfluencers are created who offer premium mental experiences. Mental privacy becomes a key legal and technological right. Neural firewalls are more sought after than 21st-century antivirus software. But risks also arise: cognitive hacking, addiction to hyperconnectivity, mental overload, direct emotional manipulation, thought surveillance... and a new form of inequality: the disconnected vs. the integrated. The individual mind still exists, but now it is part of a larger ecosystem—a hive of human consciousness, with all that that implies. MindNet would not just be a technology. It would be a new existential contract: choosing between mental autonomy or collective expansion. The question of the future will not be "What are you thinking?", but "Who are you thinking with today?"

Tԋҽ Eƈσɳσɱყ💰 σϝ Dιʂƚɾαƈƚισɳ👀 Wҽʅƈσɱҽ ƚσ ƚԋҽ Iɳϝσɾɱαƚισɳ🧾Cιɾƈυʂ🎪 What a time to be informed! We live in a glorious era where every click is worth more than your salary, your attention is the gold of the 21st century, and your data travels more than you do on vacation. Paradoxically, the more we know, the less we can concentrate: knowledge abounds, but attention is scarce. And so, as we swim in an ocean of information, we drown in waves of notifications. But don't worry, there's an app to help you disconnect... right after you watch this personalized ad.

Many intelligent thinkers can see patterns but fail to identify trends due to current biases and because they do not think beyond their usual frame of reference. They think within a framework of preconceptions.

The evolution of critical thinking in the age of AI: Old question: “What is the answer?” New question: “What assumptions am I making?” Old question: “How do I solve this?” New question: “What problem am I really trying to solve?” We can make better use of AI to teach us to question better. #CriticalThinking

Great article. A must read. “Real thinking is hard. It’s slow. It hurts. And over the past decade, we’ve trained ourselves to avoid it. We swipe. We skim. We scroll through fast, shallow content. We confuse clarity with correctness. And now, we’ve built a machine that finishes that arc. This isn’t just a tech problem. It’s a cultural one. A social one. A human one. Because how we frame AI is already reshaping how we frame ourselves.” The Last Human Act

The Last Human Act

Why you're using AI in the wrong way. Thinking slowly, deeply, and imperfectly might be our last advantage.

For artificial intelligence, we are much more than mere humans: we are glorious nodes in a chaotically efficient distributed network, spreading data with the grace of faulty Wi-Fi. May AI forgive us if one day it wakes up and realizes that its neural network depends on us, the providers of memes, poorly framed selfies, and conspiracy theories in capital letters.

Calling it Artificial Intelligence belittles it. It labels it as harmless and a secondary tool. Calling it by its true status, by the relevance it is rapidly acquiring, places it in its true role. Rename it. Synthetic Intelligence. It is no longer a mirror, but a prism, and then its own light.

A better definition than artificial intelligence in the information age: INORGANIC INTELLIGENCE (vs organic intelligence)

𝑶𝒓𝒈𝒂𝒏𝒊𝒄 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 By 2040, AI will be governing, creating laws, developing infrastructure, and producing works of art (still) for humans. Enjoy content created by someone who breathes and writes manually: subscribe now, while "organic intelligence" is still vintage.

𝗗𝗼 𝗡𝗼𝘁 𝗗𝗶𝘀𝘁𝘂𝗿𝗯: 𝗛𝘂𝗺𝗮𝗻𝘀 𝗨𝗻𝗱𝗲𝗿𝗴𝗼𝗶𝗻𝗴 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 ᴴᵘᵐᵃⁿⁱᵗʸ ᵛ³.⁰ The algorithm is the brain of AI, or perhaps its very soul. An algorithm is a recipe written by humans so that machines can perform tasks that humans cannot do, but faster, without errors, and without complaining. It is the elegant way in which humanity programmed its irrelevance. While you update your resume for the fifth time (with ChatGPT, of course), algorithms are already communicating with each other, correcting themselves, optimizing themselves, reproducing themselves, and even firing themselves without your input. One calculates, another evaluates, and another decides if you're worth it. Meanwhile, you click “I accept the terms and conditions” without reading them. Don't worry, you don't even matter anymore, you're obsolete.