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Category: cyborgs

Joscha Bach & Anders Sandberg

Are minds just processes? Can AI become conscious, morally wiser, or even part of a larger collective intelligence? Anders Sandberg and Joscha Bach discuss consciousness, AGI, hybrid minds, moral uncertainty, collective agency and the future of the cyborg Leviathan. It’s a deep and winding discussion with so many interesting topics covered!

0:00 Intro.
0:37 What is consciousness? Phenomenology — functionalism & panpsychism.
1:54 Causal boundaries — the mind is a causally organised process with a non-arbitrary functional boundary, sustained through time by feedback, control, and internal continuity.
3:20 Minds are not states — they are processes. We don’t see causal filtering in tables.
5:54 Epiphenomenalism is self-undermining if it has no causal role, and taking causation seriously pushes towards functionalism.
9:49 Methodological humility about armchair philosophy of mind.
12:41 Putnam-style Brain-in-a-vat — and why standard objections to AI minds fall flat.
16:37 Is sentience required (or desired) for not just moral competence in AI, but moral motivation as well?
22:35 Why stepping outside yourself is powerful — seeing.
25:12 Are AIs born enlightened?
26:25 Are LLMs AGI yet? What’s still missing.
28:16 AI, hybrid minds, and the limits of human augmentation.
32:32 Can minds be extended — in humans, dogs, and cats?
36:19 Why human language may not be open-ended enough.
39:41 Why AI is so data-hungry — and why better algorithms must exist.
43:39 Why better representations matter more than raw compute (grokking was surprising)
48:46 How babies build a world model from touch and perception.
51:05 What comes after copilots: agent teams, multimodality and new AI workflows.
55:32 Can AI help us discover new forms of taste and aesthetics.
59:49 Using AI to learn art history and invent a transhumanist aesthetic.
1:01:47 When AI helps everyone looks professional, what still counts as real skill?
1:03:56 What happens when the self starts to merge with AI
1:05:43 How AI changes the way we think and create.
1:08:10 What happens when AI starts shaping human relationships.
1:11:18 Why feeling in control can matter more than being right.
1:12:58 Why intelligence without wisdom is very dangerous.
1:17:45 AI via scaling statistical pattern matching vs symbolic (& causal) reasoning. Can LLMs learn causality or just correlation?
1:23:00 Will multimodal AI replace LLMs or use them as glue everywhere.
1:24:02 10 years to the singularity?
1:25:27 AI, coordination and the corruption problem.
1:29:47 Can AI become more moral than us (humans)? and if so, should it?
1:34:31 Why pluralism still leaves moral collisions unresolved.
1:34:31 Traversing the landscape of norms (value)
1:38:14 Can ethics work across nested levels of existence? (from the person-effecting-view to the matrioshka-effecting-view)
1:43:08 Moral realism, evolution & game-theoretic symmetries.
1:48:01 Is there a global optimum of moral coordination? Is that god?
1:55:12 Metaphors of the body-politic, the body of Christ, Omega Point theory, Leviathan.
1:59:36 Will superintelligences converge into a cosmic singleton?

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Science, Technology & the Future — #SciFuture — http://scifuture.org

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Liquid-metal pupil helps an artificial eye adapt to sudden light changes

Computer vision technologies are artificial intelligence (AI)-powered systems that can capture, analyze, and interpret visual data captured from real-world environments. While these systems are now widely used, many of them perform poorly under some lighting conditions and when the light in captured scenes changes abruptly.

Researchers at University of North Carolina at Chapel Hill, Westlake University and other institutes have developed a new artificial eye that draws inspiration from the eyes of humans, cats and other animals. This artificial eye, introduced in a paper published in Science Robotics, could be used to advance the sensing capabilities of robots, advanced security systems and autonomous vehicles.

“Our project grew from a simple problem: traditional machine vision systems (like the cameras deployed in self-driving cars or robots) struggle with extreme light changes, such as changes from pitch black to bright sunlight,” Dr. Kun Liang, first author of the paper, told Tech Xplore.

Novel prosthetic design combines AI and 3D printing to improve fit

A new, fully customizable 3D printed socket design is set to transform the prosthetics industry. The reimagined limb socket interface combines highly personalized pressure mapping with AI software and a lighter infill, creating a highly customized prosthetic that’s more comfortable to wear, for much longer, say researchers at Simon Fraser University.

New Technique for 3D Printing Artificial Muscle Paves the Way for More Freaky Robots

While 2026 has been an objectively terrible year for humans thus far, it’s turning out—for better or worse—to be a banner year for robots. (Robots that are not Tesla’s Optimus thingamajig, anyway.) And it’s worth thinking about exactly how remarkable it is that the new humanoid robots are able to replicate the smooth, fluid, organic movements of humans and other animals, because the majority of robots do not move like this.

Take, for example, the robot arms used in factories and CNC machines: they glide effortlessly from point to point, moving with both speed and exquisite precision, but no one would ever mistake one of these arms for that of a living being. If anything, the movements are too perfect. This is at least partly due to the way these machines are designed and built: they use the same ideas, components, and principles that have characterised everything from the water wheel to the combustion engine.

But that’s not how living creatures work. While the overwhelming majority of macroscopic living beings contain some sort of “hard” parts—bones or exoskeletons—our movements are driven by muscles and ligaments that are relatively soft and elastic.

Could ‘cyborg’ transplants replace pancreatic tissue damaged by diabetes?

A new electronic implant system can help lab-grown pancreatic cells mature and function properly, potentially providing a basis for novel, cell-based therapies for diabetes. The approach, developed by researchers at the Perelman School of Medicine at the University of Pennsylvania and the School of Engineering and Applied Sciences at Harvard University, incorporates an ultrathin mesh of conductive wires into growing pancreatic tissue, according to a study published in Science.

“The words ‘bionic,’ ‘cybernetic,’ ‘cyborg,’ all of those apply to the device we’ve created,” said Juan Alvarez, Ph.D., an assistant professor of Cell and Developmental Biology. While these terms may sound futuristic, he noted this approach is already in use in the form of deep brain stimulation, which treats neurological conditions.

“What we’re doing is like deep stimulation for the pancreas. Just like pacemakers help the heart keep rhythm, controlled electrical pulses can help pancreatic cells develop and function the way they’re supposed to,” he said.

Kirigami-inspired sensors precisely map activity of neurons in the primate brain

Recent technological advances have opened new exciting possibilities for the development of smart prosthetics, such as artificial limbs, joints or organs that can replace injured, damaged or amputated body parts. These same advances are also enabling the development of other systems that connect the brain with machines, to record the activity of neurons or allow humans to operate machines in entirely new ways.

Researchers at the Chinese Institute for Brain Research, the National Center for Nanoscience and Technology in Beijing and other institutes recently developed a new flexible and implantable sensor that can record the activity of neurons in the brain of non-human primates. The sensing device, introduced in a paper published in Nature Electronics, is inspired by kirigami, an artistic discipline that entails the creation of intricate structures by folding and cutting paper in specific ways.

“The development of brain–computer interfaces requires implantable microelectrode arrays that can interface with numerous neurons across large spatial and temporal scales,” wrote Runjiu Fang, Huihui Tian and their colleagues in their paper.

The insect-inspired bionic eye that sees, smells and guides robots

The compound eyes of the humble fruit fly are a marvel of nature. They are wide-angle and can process visual information several times faster than the human eye. Inspired by this biological masterpiece, researchers at the Chinese Academy of Sciences have developed an insect-scale compound eye that can both see and smell, potentially improving how drones and robots navigate complex environments and avoid obstacles.

Traditional cameras on robots and drones may excel at capturing high-definition photos, but struggle with a narrow field of view and limited peripheral vision. They also tend to be bulky and power-hungry.

The Scientist Behind Moderna on How Engineering Revolutionizes Medicine

What does it take to turn bold ideas into life-saving medicine?

In this episode of The Big Question, we sit down with @MIT’s Dr. Robert Langer, one of the founding figures of bioengineering and among the most cited scientists in the world, to explore how engineering has reshaped modern healthcare. From early failures and rejected grants to breakthroughs that changed medicine, Langer reflects on a career built around persistence and problem-solving. His work helped lay the foundation for technologies that deliver large biological molecules, like proteins and RNA, into the body, a challenge once thought impossible. Those advances now underpin everything from targeted cancer therapies to the mRNA vaccines that transformed the COVID-19 response.

The conversation looks forward as well as back, diving into the future of medicine through engineered solutions such as artificial skin for burn victims, FDA-approved synthetic blood vessels, and organs-on-chips that mimic human biology to speed up drug testing while reducing reliance on animal models. Langer explains how nanoparticles safely carry genetic instructions into cells, how mRNA vaccines train the immune system without altering DNA, and why engineering delivery, getting the right treatment to the right place in the body, remains one of medicine’s biggest challenges. From personalized cancer vaccines to tissue engineering and rapid drug development, this episode reveals how science, persistence, and engineering come together to push the boundaries of what medicine can do next.

#Science #Medicine #Biotech #Health #LifeSciences.

Chapters:
00:00 Engineering the Future of Medicine.
01:55 Failure, Persistence, and Scientific Breakthroughs.
05:30 From Chemical Engineering to Patient Care.
08:40 Solving the Drug Delivery Problem.
11:20 Delivering Proteins, RNA, and DNA
14:10 The Origins of mRNA Technology.
17:30 How mRNA Vaccines Work.
20:40 Speed and Scale in Vaccine Development.
23:30 What mRNA Makes Possible Next.
26:10 Trust, Misinformation, and Vaccine Science.
28:50 Engineering Tissues and Organs.
31:20 Artificial Skin and Synthetic Blood Vessels.
33:40 Organs on Chips and Drug Testing.
36:10 Why Science Always Moves Forward.

The Big Question with the Museum of Science:

Continue reading “The Scientist Behind Moderna on How Engineering Revolutionizes Medicine” | >

Brain-inspired AI helps soft robot arms switch tasks and stay stable

Researchers have developed an AI control system that enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining or sacrificing functionality. This breakthrough brings soft robotics closer to human-like adaptability for real-world applications, such as in assistive robotics, rehabilitation robots, and wearable or medical soft robots, by making them more intelligent, versatile, and safe. The research team includes Singapore-MIT Alliance for Research and Technology’s (SMART) Mens, Manus & Machina (M3S) interdisciplinary research group, and National University of Singapore (NUS), alongside collaborators from Massachusetts Institute of Technology (MIT) and Nanyang Technological University (NTU Singapore).

Unlike regular robots that move using rigid motors and joints, soft robots are made from flexible materials such as soft rubber and move using special actuators—components that act like artificial muscles to produce physical motion. While their flexibility makes them ideal for delicate or adaptive tasks, controlling soft robots has always been a challenge because their shape changes in unpredictable ways. Real-world environments are often complicated and full of unexpected disturbances, and even small changes in conditions—like a shift in weight, a gust of wind, or a minor hardware fault—can throw off their movements.

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