tag > Science

  • It's shocking what two years of radiation exposure can do (For those who don't get the joke, 600 THz is visible light)

    #Nature #Comedy #Science #RadioBio

  • Intelligence is everywhere. Now what? Natural intelligence in the age of the artificial.

    Slides from a talk I gave last month to a team of researchers and engineers building oscillatory neural networks and analog computers. The argument: nature computes everywhere, oscillation is one of its core primitives, and the real frontier is not bigger datacenters but using AI to work with natural intelligence. Plus how a small team could get there with agentic science, and whether invention itself can scale.
    Slide 1: Intelligence is everywhere. Now what? Natural intelligence in the age of the artificial samim.a.winiger · sept 2026
    Slide 2: Overview 01 Why Natural Intelligence fascinates me 02 A vision for NI at scale 03 How could a small team "win"? 04 Agentic science & narrative engineering 05 Can we scale invention?
    Slide 3: 01 Why Natural Intelligence fascinates me
    Slide 4: Perspective Have you looked at nature lately? I mean really, really closely.
    Slide 5: Perspective Nature is epic. We understand a fraction of it. Four things we'd call engineering disciplines. Nature does them without a lab. Hardware Bacteria that grow their own compass needles. Schüler 2008 Software…
    Slide 6: Perspective I am basically a tree. Four billion years of shared engineering. Molecule Chlorophyll, hemoglobin. Same ring, one atom swapped. Magnesium eats light, iron carries breath. Roots One branching logic. Lungs…
    Slide 7: Perspective Unreasonably complex. 37 trillion cells in you, each running millions of reactions per second. No central clock. Up to a kilometre of fungal hyphae in a single gram of forest soil. 86 billion neurons on 20…
    Slide 8: Perspective Any AI trick that seems amazing is nothing compared to nature. The more you study it, the more you realise it operates on a vastly higher order of intelligence, which we barely understand. The real frontier…
    Slide 9: Perspective All of nature is intelligent. And we are deeply related to all of it.
    Slide 10: My working hypothesis Oscillation is one of the most fundamental primitives in nature. Look closely at anything, and you find rhythm.
    Slide 11: Oscillation → everywhere Pick any scale. There's a clock. From the electron to the galaxy, nothing in nature sits still. Everything ticks. Thirty orders of magnitude. One primitive. Electron orbiting a hydrogen atom 10…
    Slide 12: Oscillation → form It doesn't just tick. It builds form. Vibrate a plate, and sand sorts itself into pattern. Left: a turtle shell beside Chladni figures at four frequencies. Right: turtles that look suspiciously like…
    Slide 13: Oscillation → computation You know coupled oscillators compute. So does nature. Kuramoto, Ising machines, ONNs: the field's daily bread. What surprised me is who else figured it out. And on what. Mushrooms · Slime · A…
    Slide 14: Unconventional computing · 1 Memristors made of shiitake. Mycelium, wired up. A resistance that remembers its own history. Switching at up to 5.85 kHz, ~90% accuracy. Sustainable memristors from shiitake mycelium · PLOS…
    Slide 15: Unconventional computing · 2 Mycelium spikes. The spikes compute. Electrical activity in a fungal network, decoded as Boolean functions. And underneath the spikes: slow, spontaneous electrical oscillations across the…
    Slide 16: Unconventional computing · 3 Slime mould computes. No neurons required. It grows a network between food sources; the network is the computation. Shortest paths, logic gates, sensors. Massively parallel,…
    Slide 17: Oscillation → computation The rhythm is the computer. Mycelium spikes. Slime pulses. Water waves. It was never about the fungi. Substrates change; the primitive doesn't. Reservoir computing makes that a recipe: take…
    Slide 18: Reservoir computing · 4 Computing with a bucket of water. 2003. LEGO motors make waves in a tank, a projector throws the ripples onto cardboard, a camera reads them, one perceptron on top. Spoken "zero" vs "one": 99%…
    Slide 19: Reservoir computing · 5 A tank of water separates mixed signals. Twenty-two years later, same recipe: water waves as the reservoir, a trained linear readout. Now doing chaotic source separation. Still works. Supervised…
    Slide 20: Zoom out If a bucket of water can be a neural net… …what is a star? What is the computational complexity of the Sun? Of a galaxy? What is it computing? And who is reading the output?
    Slide 21: The great unknown Why does the cosmic web look like neural tissue? The Sloan Great Wall: 1.37 billion light-years. Filaments, nodes, voids. Statistically, the network looks a lot like a connectome. And the nodes are…
    Slide 22: 02 A vision for Natural Intelligence at scale
    Slide 23: The word of the decade Scale. Capex $700 B Five companies, one year. More than the world invests in oil and gas production. Compute 5 × / yr Growth in training compute for frontier models. Every year, for a decade.…
    Slide 24: The word of the decade: Scale Every breakout success you've ever heard of is one to three hops from this. Deforestation, in Maranhão, Brazil, 2016.
    Slide 25: The thesis, again The real frontier is not artificial intelligence. It is natural intelligence: using AI to communicate and collaborate with nature. So: what would it look like if we scaled that instead?
    Slide 26: The bet Two ways to scale intelligence. The datacenter Simulated Digital, clocked, backprop Gigawatts One substrate: silicon Grows by capex Nature Physical Analog, continuous, settles Watts. Your brain: twenty. Six…
    Slide 27: The bet, in hardware This is not hypothetical. Analog computers shipping today, from desk to rack. Continuous time, no clock, the physics does the integrating. The oscillator version is the next step, not a different…
    Slide 28: The opening The paradigm that does this already exists. It sits at the crossroads of statistical physics, machine learning, neuroscience and hardware. Nobody owns it yet.
    Slide 29: Scale, reimagined The datacenters of the future will be fungal. Vast underground mycelial networks doing reservoir computation. Self-repairing. Compostable. Runs on sugar. Tired: Nvidia. Wired: Nfungi.
    Slide 30: The vision, plainly The datacenter of the future is natural intelligence. Energy Femtojoules, not gigawatts. Intelligence at the energy cost of life. Today's inference at the wattage of a brain. Time Physics does the…
    Slide 31: 03 How could a small team "win" at Natural Intelligence?
    Slide 32: The backdrop, 2026 Many fronts. The giants $700B a year. AGI proclaimed, ASI scheduled. Five companies with balance sheets larger than most countries, gobbling up compute, power, talent and attention. A new entrant…
    Slide 33: The front that matters most The race is to automate science itself. And then to own it. Whoever owns the tools scientists think with owns what gets discovered, what gets published, and eventually what gets funded. The…
    Slide 34: Honest assessment So a small European team is going to have a hard time. Unless.
    Slide 35: What a giant cannot buy Giants win on known maps. Small teams win on maps nobody has drawn yet. The ONN and analog computing design space is largely unexplored. No default stack, no transformer no ImageNet moment. The…
    Slide 36: My thesis: four things a small team needs in 2027 1 · Vision Know what you're aspiring to. Say it out loud. 2 · Focus One bet where their capex doesn't help. No parity races. 3 · Agentic science Agents multiply what the…
    Slide 37: 04 Agentic science & narrative engineering
    Slide 38: Narrative engineering · first, briefly Storytelling is a business function. Not a nice-to-have. Whoever tells the better story owns the space: what "natural intelligence" means in the public mind gets decided by…
    Slide 39: Narrative engineering · why "engineering" Backcasting is magical. Write the 2030 headline first. Engineer backwards to the experiments that make it true. The fungal datacenter was this. Engineering, because it's done…
    Slide 40: Now: agentic science Science is a loop. How fast can it spin?
    Slide 41: Agentic science · 1 · a true story Twenty agents. Nineteen hours. One hundred euros. Beers in Zürich with a friend who runs an ONN lab. He mentions a paper in progress. I have the abstract, nothing else. Next morning I…
    Slide 42: Agentic science · 2 · everywhere A scientific revolution is underway. We're in the first innings. Biology Protein structure, solved. A Nobel for a model, 2024. Now: designing proteins that never existed. Materials 2.2…
    Slide 43: Agentic science · 3 · the shift Tools shape scientist, engineer, and company. We shape our tools, and thereafter our tools shape us: how we see the problem, what we consider possible, how the team works together. The…
    Slide 44: Agentic science · 4 · the menu What an agentic science org can do. A partial list. Read Continuous literature Every ONN, Ising and photonic paper, the week it drops, mapped against what you know. Check Prior-art agents…
    Slide 45: Agentic science · 5 · the segue All of that is secondary to two things. One Process is king. Stop thinking of yourselves as a lab that uses AI. Think of yourselves as an agentic science organisation. Every task, every…
    Slide 46: Agentic science · 6 · the centrepiece A company-wide scientific world model. Humans Researchers, engineers, founders. Read it. Write to it. Argue with it. The world model What exists. The substrates, the results, the…
    Slide 47: Agentic science · 7 · the operating principle Model the world. Close the loop. Loosen the grip. Model the world Build the shared map first. What exists, what matters, which seductive stories to distrust. Every human and…
    Slide 48: 05 Can we scale invention itself?
    Slide 49: Computational creativity · my other lab Thirteen years of asking this question. Computational creativity studies since 2013. CreativeAI, 2016. Chair of the Computational Comedy group at Google Research. Joke generators,…
    Slide 50: The split Creativity with a big C. And with a small c. Big C · true invention Still deeply mysterious. The best theory we have is serendipity: agency, surprise, value . A trigger nobody planned, an association nobody…
    Slide 51: Small c, scaled The adjacent possible is mappable. Kauffman's idea, formalised: every discovery opens new neighbours. The frontier expands as you touch it. "Dynamics on expanding spaces" (2017) shows this produces the…
    Slide 52: Big C, cultivated Breakthroughs happen at the edge of chaos. Order The edge Chaos Too much order: you optimise the known. Surprise and agency. Both. Too much chaos: noise. Computation Reservoirs compute best at the…
    Slide 53: What comedy taught me about discovery Generate wide Manual prompting collapses onto the familiar. You need machinery that explores the creative space, not just samples it. (SerendipityLM) Select ruthlessly 99% is…
    Slide 54: "Everything that is possible demands to exist." — Leibniz
    Slide 55: One idea to leave you with Intelligence is cheap and abundant in this universe. Love and kindness are the actual cosmic anomalies.
    Slide 56: Thanks for reading. samim.io

    #OSC #Nature #ML #Science #Complexity #Projects #FFHCI

  • The Mathematics of Power

    “We urge mathematicians to discontinue their work with OpenAI and to return to a vision of science that centers human understanding.” - AHM Statement on OpenAI’s October 6 Release of Mathematical Documents
    "We urge mathematicians to discontinue the illusion that their talents aren't aligned with the highest bidder in the geopolitical arena, recognizing that modern science is driven entirely by wealth accumulation and global dominance rather than abstract ideals." - Samim's Real Politics of Science Statement 

    #Science #Economics #ML #Cryptocracy #Politics

  • Maybe Calvin (1992) knew it all along

    #ML #Art #Science #Technology

  • "Applied mathematics can be divided into four types according as to whether the things being modelled are discrete or continuous, and whether their behaviour is discrete or continuous." (Zeeman, Controversy in Science: on the Ideas of Daniel Bernoulli and Rene Thom)

    #Science

  • Einstein–Bergson debate

    In the words of Wolfgang Pauli: "It is not only not right, it is not even wrong." 
    Or as Dōgen Zenji put it: "Time itself is being, and all being is time."

    #Science #Philosophy #RTM 

  • Carl Jung on Intellectualism 

    #Culture #Science #Philosophy

  • Grothendieck's Hexenküche (1971)

    Grothendieck's "Hexenküche" (German for "Witches' Kitchen") is a famous 1971 satirical doodle and handwritten note by mathematician Alexander Grothendieck. After spending two hours explaining the Riemann–Roch theorem, he reduced it to a commutative diagram, devils and flames included, then warned that our drive for knowledge and discovery was becoming a "logical delirium detached from life."

    #Science #Magic #Comedy

  • Spent a few days in the Alps at a private retreat with some leading minds from science & engineering, discussing natural intelligence. AI has made intelligence a defining questions of our time. But brains & machines are only a tiny part of the story. Gave a talk, learned a lot.

    #Projects #FFHCI #OSC #Nature #Science #Regenerative #Complexity

  • The clever tool effect

    Briefly stated, the Clever Tool Effect works as follows. You are an engineer or a scientist. You listen to your superiors discuss the technology you have spent your life mastering. They confuse basic concepts, misunderstand limitations, and make claims that would embarrass a competent undergraduate. You exchange knowing glances with your colleagues. These people have absolutely no idea what they are talking about.
    Then you return to your desk and build what they asked for.
    Somewhere between the meeting room and your workstation, “they do not understand my work” has become “they could never outsmart me.”
    Meanwhile, they decide what gets funded, who owns the results, and against whom those results may be used. They understand your appetite for difficult problems, your need for recognition, and how readily you accept power when it arrives disguised as an interesting engineering challenge.
    Your contempt makes the arrangement remarkably efficient. You interpret their ignorance as evidence of your independence. Questions about the project’s purpose become distractions from the technical work. Critics “don’t understand the technology.” You improve the surveillance, refine the targeting, perfect the machinery of persuasion—each advance another reassuring demonstration of how much smarter you are than the people directing you.
    The possibility that your intelligence is precisely what they are exploiting scarcely enters the picture. After all, you are the expert.
    You understand the machine perfectly. You forget that you are part of it.

    #Culture #Science #Technology #Economics

  • OpenAI giving scientists free access to models is a evil troyan horse

    #Science #ML #Cryptocracy #KM 

  • Schwinger Limit

    The Schwinger limit is a critical threshold in quantum electrodynamics representing the maximum intensity an electromagnetic field can reach before the vacuum itself becomes unstable and spontaneously produces matter. Named after Nobel laureate Julian Schwinger, it defines the point where space-time fields turn non-linear and tear virtual electron-positron pairs into real particles.
    "The vacuum is not empty; it is a lively playground of virtual particles being born and destroyed continually." - Julian Schwinger from his landmark 1951 paper, “On Gauge Invariance and Vacuum Polarization”

    #Science

  • Lorentz oscillator model

    The Lorentz oscillator model is a classical physics framework that describes how light interacts with matter by treating bound electrons in an atom as a driven, damped harmonic oscillator. Proposed by Hendrik Lorentz, the model represents the electron as a small mass connected to a massive, stationary nucleus via a hypothetical spring (obeying Hooke's Law) and a damper.

    #Science

  • Kola Superdeep Borehole – Deepest Man-Made Hole on Earth

    #Science #FFHCI

  • The Coding of God: Why Modern Biology is Relapsing into Platonism

    For decades, the standard scientific worldview was simple, sterile, and aggressively materialistic: you are nothing but a temporary bag of meat, your DNA is a rigid instruction manual, and the universe is an accidental pile of Lego bricks colliding in a vacuum.

    But a profound shift is occurring. If you tune into the cutting edge of developmental biology, computer science, and quantum physics, you will hear a word that hasn’t been fashionable since late antiquity: Platonism.

    Scientists are discovering that the physical universe behaves less like a collection of hard objects and more like an interface downloading instructions from a non-physical realm.

    Yet, as Western science excitedly stumbles into this “new” abstract territory, Eastern contemplative traditions are watching with a knowing smile—and a sharp warning.


    The Modern Frontier: “Platonic Biology”

    The epicenter of this scientific renaissance is the lab of Tufts University biologist Michael Levin. Levin studies morphogenesis—how cells know what shape to build. For a long time, we assumed DNA held the full blueprint. But Levin’s work with Xenobots (synthetic, living robots made entirely of scrambled frog skin cells) shattered that assumption.

    When these skin cells are freed from the standard constraints of a frog embryo, they don’t flatten into a layer of skin. Instead, they spontaneously self-organize into a brand-new, mobile organism that can swim, navigate its environment, and even repair itself.

    Standard Biology: [DNA Blueprint] ──> [Fixed Physical Outcome]
    Platonic Biology: [DNA Hardware] ──> [Bioelectric Antenna] ──> [Downloads Form from Platonic Space]

    Where did the blueprint for this new shape come from? There is no evolutionary history or specific genetic code for a Xenobot. Levin proposes a radical answer: the cells are navigating a pre-existing, non-physical Platonic morphospace—a latent landscape of mathematical geometries and biological targets that exist independently of physical evolution. DNA doesn’t build the house; it just builds the radio antenna that tunes into the universal code.


    The 1,700-Year-Old Plot Twist

    What Levin and cosmologists like Max Tegmark (who argues the universe is math) are doing is resurrecting Neoplatonism.

    Originating in the third century CE with the mystic philosopher Plotinus, Neoplatonists argued that physical matter is just the lowest, most degraded tier of reality. Everything we see, touch, and measure is actually an emanation (an energetic overflow) from a singular, transcendent source called The One. The One overflows into the Intellect (Nous), which holds all the ideal, mathematical archetypes of reality, which then projects downward into the World Soul (Psyche) to animate the physical universe.

    When modern science claims that consciousness and physical biological forms are “ingressions” from an abstract mathematical space into silicon chips or fleshy bodies, they are tracing the exact metaphysical pipeline Plotinus mapped out during the Roman Empire. Science has simply traded the mystical vocabulary of “divine emanation” for the sterile vocabulary of “software and interfaces”.


    The Zen Critique: The Trap of the Two Worlds

    While this shift away from cold materialism is a massive leap forward, Zen and Buddhist practitioners would offer a gentle but devastating critique of this new scientific Platonism.

    The core flaw of Platonism—both ancient and modern—is dualism. It splits reality into two separate rooms: the messy, flawed physical world here, and the perfect, pristine abstract filing cabinet of code over there.
    Zen completely rejects this separation. The foundational premise of the Heart Sutra is a radical non-duality:

    “Form is emptiness, emptiness is form.”

    To a Zen master, there is no separate “Platonic space” storing the archetypes of life. The abstract void and the physical flesh are the exact same happening, occurring simultaneously.

    By creating a new metaphysical realm called “Platonic Space,” scientists are committing a classic psychological error: they are looking at the human brain’s incredible capacity for abstract math, projecting that reflection onto the cosmos, and calling it an objective library.

    Furthermore, Platonism is obsessed with “perfection” and “ideal archetypes.” Zen reminds us that the universe is inherently asymmetrical, transient, and beautifully flawed. A cells’ ability to adapt isn’t because it is accessing a perfect mathematical museum; it is because the universe is a fluid, open, and empty field of infinite potentiality.

    The Takeaway

    We are living through an exhilarating era where biology is transforming from a study of clunky hardware into a study of cosmic software. But as we learn to navigate this newly rediscovered abstract space, we must heed the warning of the contemplative traditions.

    The code isn’t a separate god to be worshipped, and the physical world isn’t a secondary illusion. The blueprint and the building are one and the same.

    #ALife #Science #Philosophy #Comedy

  • Gottfried Wilhelm Leibniz On Nothingness 

    #Philosophy #Science

  • "Truth that is both new and necessary" - Aristotle, ca 320 BCE

    Related videos from contemporary thinkers:
    The Story of Complexity - Christos Papadimitriou
     + "AI creativity & discovery" - Rich Sutton

    #Paradox #Science #Complexity

  • Galilean Relativity is Bullshit

    Galilean relativity is a foundational physics principle stating that the fundamental laws of motion are identical in all inertial reference frames. An inertial frame is a perspective that is either stationary or moving at a constant velocity without acceleration. Consequently, there is no absolute "rest frame" to measure absolute motion.

    #Science #Philosophy

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