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From microscopic injections that instantly turn human tissue into self-healing armor to biomechanical nanites rewriting a host's entire biology, these films explore the boundary where organic flesh ends and weaponized machinery begins. Nanotechnology at it’s finest 🫡 Title:Bloodshot(Vin Diesel as a nanite-rebuilt super-soldier

80,972 görüntüleme • 5 gün önce •via X (Twitter)

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From Bound to Coherent: The Somatic Geometry of Embodied Existence For decades the search for consciousness has moved inward to microtubules pulsing as localized engines, yet this inverts biological causality because microscopic rhythms cannot impose macroscopic order. A unified first-person self requires a stable spatial address — a continuous reference to the body’s coordinates under gravity — maintained through dynamical closure faster than physical disruptions accumulate. This demands a whole-body circuit: the vestibular labyrinth supplies a non-drifting gravitational anchor, the cortex issues rapid predictive corrections, and the fascial network registers ongoing mechanical strain as distributed error. Gravity’s shear forces propagate through the tensegrity body, which settles into the lowest-energy geometry that resolves nonuniform tension — a regular dodecahedron whose pentagonal proportions embody the golden ratio φ. Mechanical compression at the tissue level reaches the microtubules, triggering piezoelectric discharges that translate physical strain into the precise electrical signals the loop requires. When the top-down cortical wave at 10 Hz phase-locks with the bottom-up somatic wave near 6.18 Hz in the φ ratio, a stable standing wave emerges and the persistent self appears as coherent spatial address. Anesthesia, chronic pain, and dissociation do not extinguish raw awareness; they fragment this geometric closure. The human self is therefore not assembled bottom-up from cellular generators but continuously curated top-down as the functional stabilization of a biological system recursively solving the geometry of its own existence against gravity.

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Demis Hassabis confirmed every frontier AI lab is working on recursive self-improvement and in the same sentence said the safety risk of removing humans from the loop entirely keeps him up at night. That combination should stop you. The CEO of Google DeepMind just confirmed that the thing most people treat as a theoretical future risk is already the active focus of every serious lab on earth right now. He explained why it works in coding and math. The feedback loop is fast. You can verify whether an answer is correct almost instantly. You can generate synthetic training data from it. The loop closes quickly and cleanly. Then he said where it breaks down. In biology, chemistry and physics. Any domain where verifying a hypothesis requires a physical experiment in the real world. The loop does not close in seconds. It closes in weeks or months. Geoffrey Hinton said in his Nobel lecture that recursive self-improvement is the development he fears most and that once started it may not be possible to stop. Hassabis is not pushing back on that. He is describing the guardrails labs are building around a process they are already running. Every lab has to think carefully about the safety of a process where no human is in the loop. He said that as a constraint they are navigating right now. The question they are sitting with is how much of it to let run without a human watching. (Watch the full interview on YouTube at Two Minute Papers channel)

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Dr. Edward Group, DC

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Jensen Huang just called the exact top of the pharmaceutical industry. Not a pivot. Not a disruption. An extinction event. Huang: “Where do I think the next amazing revolution is going to come? And this is going to be flat out one of the biggest ones ever. There’s no question that digital biology is going to be it.” The medical establishment has spent centuries playing a chaotic game of trial and error. We’re about to mathematically engineer the human operating system. Huang: “For the very first time in human history, biology has the opportunity to be engineering, not science. When something becomes engineering, not science, it becomes less sporadic and exponentially improving.” Biology is no longer the dark art of random discovery. It’s a predictable, compounding execution loop. Translate the chaotic variables of chemistry into the laws of computer science and you stop waiting for accidental breakthroughs. You simply compute the cure. That line should terrify every pharmaceutical executive alive. Huang: “It can compound on the benefits of the previous years. And every researcher’s contributions compound on each other.” For decades, drug discovery has been an isolated, artisanal process. One lab. One team. One molecule. Years of blind iteration. The algorithm just shattered that entire bottleneck. Every failed protein fold, every successful synthetic molecule instantly trains the foundational model. Makes the next iteration mathematically smarter. Huang: “We’re going to have incredible tools that bring the world of biology, which is very chaotic and constantly changing and diverse and complex, into the world of computer science. And that is going to be profound.” Incumbent pharma looks at the human body and sees an unmanageable wall of variables. Engineers look at that exact same body and see raw data waiting to be compiled. No longer guessing how a molecule will react in the physical world. Running millions of zero-cost simulated iterations before a single test tube is ever touched. Rip the chaotic friction out of the physical lab and drop it directly into a massive GPU cluster? The timeline to map, edit, and optimize the biological machine doesn’t shrink. It collapses.

Dustin

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Camus

36,815 görüntüleme • 1 yıl önce

Sam Altman just told a room full of students where the real opening on the board is. The global market assumes the Transformer architecture is the final form of the compute engine. It’s a stepping stone. Altman: “I bet there is another new architecture to find that is gonna be like as big of a gain as transformers were over LSTMs. And I think you finally have models that are smart enough to help do that kind of research.” The frontier models aren’t replacing human researchers. They’re accelerating them. The operator who uses today’s AI to hunt for the successor to the Transformer doesn’t just win the current hardware cycle. They lock in the next one before anyone else knows it exists. And here’s what that means for products. Altman: “I would just pick a big area and say what is possible now with AI that wasn’t possible at all before. Like where can I totally redo something that’s like, AI is the absolute core to the interaction working.” The traditional enterprise is trying to bolt an AI chatbot onto their existing software suite to appease shareholders. Winning operators are burning the entire product category to the ground and starting over from zero. You don’t optimize the friction of an archaic system. You build an entirely new architecture where artificial intelligence is the foundational bedrock. The builders capturing the board over the next decade won’t build “AI-assisted” tools. They’ll look at massive, entrenched industries and realize the entire category can be rebuilt from scratch by a single, AI-native execution loop. But here’s where it gets exponential. Altman: “AGI will look like just a warmup for whatever the next important thing was. And that’ll keep going for the rest of history.” AGI is not the destination. It’s the warmup lap. Altman told a room full of students this is “at least the best time ever so far.” Not because the race is almost over. Because it’s barely even started. Every breakthrough from here compounds into the next one. The organizations treating this as a gradual transition are training for a finish line that doesn’t exist.

Dustin

72,669 görüntüleme • 5 ay önce

Peter Greenaway answers the accusations of his movies being misogynistic- especially 'The Cook, the Thief, His Wife & Her Lover' (1989): "My films have been accused both of misogyny and of championing the supremacy and confederacy of women. On one hand, women always end up as the dominant force—especially that last line in 'The Cook, the Thief, His Wife & Her Lover' (1989) when the wife forces her husband to eat the body of her dead lover “Why don’t you eat the cock?,” she says, “It’s a delicacy and you know where it’s been.” It’s seen as the final humiliation of the male. In Drowning by Numbers, which is about impotence, the central man desperately tries to express his sexuality, and he fails. On the other hand, I’m accused of misogyny because I force these women to go through such humiliating experiences—as though the fact that they win is just my cop-out for all the rest. I don’t think I’m a misogynist; I hope I’m not. In 'Cook Thief', the woman begins cowed and bullied, and ends by finding strength— and she is motivated by love. After all, Cook Thief—though this surprises many people—is motivated by love, not hate or misanthropy. She ends up triumphant, though there is an irony to her triumph. She has to use the violence of her husband to turn it on him and win. The twentieth-century male has desperately to reorganize his sexuality in terms of the emancipation of the twentieth-century female. We all know we have a hell of a long way to go. In my films, women make the decisions that make the action. Men may be vile and barbarously destructive or they may make attempts at civilization, but the women make the decisions that count." (Peter Greenaway's interview to Cineaste, 1991)

DepressedBergman

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