We’re closer than ever to being able to upload our minds and become “digitally immortal.” But should we?
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What if our minds could live after our bodies have died? What if mortality became obsolete? Steven Kotler, award-winning journalist and executive director of the Flow Research Collective, has studied these seemingly sci-fi ideas, and it turns out that they’re not so fictional, after all. In fact, mind-uploading technology is expected to be available as early as 2045.
“Digital immortality” would have its upsides; we could preserve the minds of modern geniuses and have their guidance through future conflicts. Or, alternatively, things could get dark, as we have never before interfered with such complex evolutionary processes. Kotler explains that the ability to store human personalities and consciousness on computers poses profound ethical and societal questions.
By developing and using this mind-uploading technology, we are simultaneously redefining what it means to be a human being, pushing the boundary between life, death, and whatever is in between. It seems, whether we’re ready or not, that it is going to happen soon.
The skin is the largest organ in the human body. It makes up around 15 percent of our body weight and protects us from pathogens, dehydration and temperature extremes. Skin diseases are therefore more than just unpleasant – they can quickly become dangerous for affected patients. Although conditions such as skin cancer, chronic wounds and autoimmune skin diseases are widespread, we often still don’t fully understand about why they develop and how we can treat them effectively.
To find answers to these questions, Empa researchers are working together with clinical partners on a model of human skin. The model will allow scientists to simulate skin diseases and thus better understand them. This is not a computer or plastic model. Rather, researchers from Empa’s Laboratory for Biomimetic Membranes and Textiles and its Laboratory for Biointerfaces aim to produce a living “artificial skin” that contains cells and emulates the layered and wrinkled structure of human skin. The project is part of the Swiss research initiative SKINTEGRITY.CH.
In order to recreate something as complex as skin, suitable building materials are needed. This is where Empa researchers have recently made progress: They have developed a hydrogel that meets the complex requirements while being easy to manufacture. The basis: gelatin from the skin of cold-water fish.
A team of engineers at Georgia Institute of Technology’s Wearable Intelligent Systems and Healthcare Center, working with colleagues affiliated with several institutions in South Korea, has developed a microscale brain–computer interface that is small enough to be placed between hair follicles on a user’s head.
In their paper published in the Proceedings of the National Academy of Sciences, the group describes how they made their interface, how it attaches to other hardware to allow readings to be captured and how well it worked during testing.
Over the past several decades, brain–computer interfaces have been developed that are capable of reading brain waves and responding to them in useful ways. These devices can be used to control a cursor on a computer screen, for example, or to choose buttons to press. Such devices are still in limited use, however, mainly due to their bulky nature. In this new effort, the researchers have developed a sensor so small it can be placed on the scalp between hair follicles.
A trio of animal physiologists at the University of Tübingen, in Germany, has found that at least one species of crow has the ability to recognize geometric regularity. In their study published in the journal Science Advances, Philipp Schmidbauer, Madita Hahn and Andreas Nieder conducted several experiments that involved testing crows on their ability to recognize geometric shapes.
Recognizing regularity in geometric shapes means being able to pick out one shape that is different from others in a group—picking out a plastic star, for example, when it is placed among several plastic moons. Testing for the ability to recognize geometric regularity has been done with many animals, including chimps and bonobos. Until now, this ability has never been observed in any creature except for humans.
Because of that, the team started with a bit of skepticism when they began testing carrion crows. In their work, the testing was done using computer screens—the birds were asked to peck the outlier in a group; if they chose correctly, they got a food treat. The team chose to test carrion crows because prior experiments have shown them to have exceptional intelligence and mathematical capabilities.
A team of Rice University researchers reported the first direct observation of a surprising quantum phenomenon predicted over half a century ago, opening pathways for revolutionary applications in quantum computing, communication, and sensing.
Known as a superradiant phase transition (SRPT), the phenomenon occurs when two groups of quantum particles begin to fluctuate in a coordinated, collective way without any external trigger, forming a new state of matter.
The discovery was made in a crystal composed of erbium, iron, and oxygen that was cooled to minus 457 Fahrenheit and exposed to a powerful magnetic field of up to 7 tesla (over 100,000 times stronger than Earth’s magnetic field), according to a study published in Science Advances.
Lasers are great for heating things up, whether you need to do it quickly, hit a precise target, or do it from a distance. Under specific conditions, lasers can also cool things down, and that might be JUST what we need to tackle way-too-toasty data centers.
I’m excited to announce the third episode of our new series, What’s New in Science, co-hosted by Sabine Hossenfelder. Once again, Sabine and I each brought a few recent science stories to the table, and we took turns introducing them before diving into thoughtful discussions. It’s a format that continues to spark engaging exchanges, and based on the feedback we’ve received, it’s resonating well with listeners.
This time, we covered a wide range of intriguing topics. We began with the latest buzz from the Dark Energy Spectroscopic Instrument suggesting that dark energy might be changing over time. I remain skeptical, but the possibility alone is worth a closer look. We followed that with results from the Euclid space telescope, which has already identified nearly 500 strong gravitational lensing candidates—an impressive yield from just the early data.
This illustration is a conceptual drawing of a neuromorphic computer. Each wafer in the stacks of octagons, about the diameter of a vinyl record, houses a billion synapses. The white strands are fiber optic connections. Courtesy/LANL.
Physicist Dr. Lídia Del Rio, Essentia Foundation’s Research Fellow for Quantum Information Theory at the University of Zürich, explains to Hans Busstra one of the strangest quantum conundra confronting the foundations of physics: the Frauchiger-Renner (FR) thought experiment.
Scientific papers discussed in this video:
Quantum theory cannot consistently describe the use of itself. Daniela Frauchiger & Renato Renner: https://www.nature.com/articles/s4146… experiments in a quantum computer, Nuriya Nurgalieva, Simon Mathis, Lídia del Rio, Renato Renner: https://arxiv.org/abs/2209.06236 Other interesting links related to the video: Quantum ‘thought experiment software’ https://github.com/XuemeiGu/Quanundrum Great Quantum artwork by Nuriya Nurgalieva: https://www.theoryverse.com/art Part One: Modelling Observers 00:00 Introduction 04:13 The object-subject divide in quantum mechanics 07:58 How would you explain the Wigner’s Friend thought experiment? 09:40 Observations are not facts 12:16 Is collapse relative? 14:11 Losing information = measurement 15:38 How do you model the agent in quantum mechanics? 17:54 What is reversibility in QM? Part Two: Explaining the Frauchiger-Renner Thought Experiment 22:14 Lídia explains Maxwell’s Demon and how the demon can be modelled 29:28 Formatting the ‘hard drive’ of the demon equals the energy gained 31:20 Lídia explains the Frauchiger-Renner thought experiment 41:51 The quantum circuit of the FR experiment 50:31 Where the experiment gets really weird 54:52 How to make sense of the weirdness? Part Three: The Implications and Meaning of the FR Experiment 1:03:59 What assumptions CANNOT all be true? 1:07:47 Critique from the physics community on the FR experiment 1:13:30 The philosophical implications of the FR experiment 1:16:04 Agreeing or disagreeing on Heisenberg cuts 1:17:27 Quanundrum software to test thought experiments 1:20:14 (No title – you might want to add something here) 1:23:16 Does the FR experiment “favor” a many-worlds interpretation, or does it require an epistemic approach? 1:25:04 Every theory, at some point, breaks 1:26:57 On the (in)completeness of quantum theory 1:29:35 What the FR experiment could mean for quantum computers… 1:32:06 What makes the FR experiment REALLY strange? 1:35:31 You cannot have an outside view AND know what’s going on inside… 1:36:01 What does it mean philosophically? 1:40:16 What if objective collapse or many-worlds is true? 1:43:20 Do you believe in free will? 1:45:54 Lídia does believe in an objective world… 1:47:15 What would a world weirder than quantum mechanics look like? 1:52:37 Where does thinking about “different” universes become relevant for physics? 1:55:51 On What the Bleep Do We Know, quantum woo, and the real meaning of quantum mechanics… 1:57:52 Nature doesn’t care about our Heisenberg cut… 1:59:33 Quantum mechanics and non-dualism 2:02:04 Physicists should be aware of their own faiths, religion, and mortality… 2:04:06 On the nature of the self, and how Lídia’s work has informed her outlook on life 2:09:31 Final words Sesame Street Russian Dolls video, under fair use: • Sesame Street Matryoshka Doll 10 All music licensed under Storyblocks and Soundstripe All stock footage licensed under Storyblocks Interview content copyright by Essentia Foundation, 2025 www.essentiafoundation.org.
Thought experiments in a quantum computer. Nuriya Nurgalieva, Simon Mathis, Lídia del Rio, Renato Renner: https://arxiv.org/abs/2209.