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What Happens After Superintelligence? (with Anders Sandberg)

Anders Sandberg joins me to discuss superintelligence and its profound implications for human psychology, markets, and governance. We talk about physical bottlenecks, tensions between the technosphere and the biosphere, and the long-term cultural and physical forces shaping civilization. We conclude with Sandberg explaining the difficulties of designing reliable AI systems amidst rapid change and coordination risks.

Learn more about Anders’s work here: https://mimircenter.org/anders-sandberg.

Timestamps:
00:00:00 Preview and intro.
00:04:20 2030 superintelligence scenario.
00:11:55 Status, post-scarcity, and reshaping human psychology.
00:16:00 Physical limits: energy, datacenter, and waste-heat bottlenecks.
00:23:48 Technosphere vs biosphere.
00:28:42 Culture and physics as long-run drivers of civilization.
00:40:38 How superintelligence could upend markets and governments.
00:50:01 State inertia: why governments lag behind companies.
00:59:06 Value lock-in, censorship, and model alignment.
01:08:32 Emergent AI ecosystems and coordination-failure risks.
01:19:34 Predictability vs reliability: designing safe systems.
01:30:32 Crossing the reliability threshold.
01:38:25 Personal reflections on accelerating change.

Inverse Graphics: How Your Brain Turns 2D Into 3D

“This gives us evidence that the goal of vision is to establish a 3D understanding of an object,” said study senior author Ilker Yildirim, an assistant professor of psychology in Yale’s Faculty of Arts and Sciences.

“When you open your eyes, you see 3D scenes — the brain’s visual system is able to construct a 3D understanding from a stripped-down 2D view.”

Researchers have dubbed this process “inverse graphics,” describing how the brain’s visual processing system works like a computer graphics process, but in reverse, from a 2D image through a less view-dependent “2.5D” intermediate representation, and up to a much more view-tolerant 3D object.

Over 400 different types of nerve cell have been grown — far more than ever before

Nerve cells are not just nerve cells. Depending on how finely we distinguish, there are several hundred to several thousand different types of nerve cell in the human brain according to the latest calculations. These cell types vary in their function, in the number and length of their cellular appendages, and in their interconnections. They emit different neurotransmitters into our synapses and, depending on the region of the brain – for example, the cerebral cortex or the midbrain – different cell types are active.

When scientists produced nerve cells from stem cells in Petri dishes for their experiments in the past, it was not possible to take their vast diversity into account. Until now, researchers had only developed procedures for growing a few dozen different types of nerve cell in vitro. They achieved this using genetic engineering or by adding signalling molecules to activate particular cellular signalling pathways. However, they never got close to achieving the diversity of hundreds or thousands of different nerve cell types that actually exists.

“Neurons derived from stem cells are frequently used to study diseases. But up to now, researchers have often ignored which precise types of neuron they are working with,” says Barbara Treutlein, Professor at the Department of Biosystems Science and Engineering at ETH Zurich in Basel. However, this is not the best approach to such work. “If we want to develop cell culture models for diseases and disorders such as Alzheimer’s, Parkinson’s and depression, we need to take the specific type of nerve cell involved into consideration.”

For the first time, researchers at ETH Zurich have successfully produced hundreds of different types of nerve cell from human stem cells in Petri dishes. In the future, it will thus be possible to investigate neurological disorders using cell cultures instead of animal testing.

First Stem Cell Nerve Therapy Meant to Reverse Paralysis Enters Clinical Trial

It begins with a fall, a crash, or a sudden jolt. In a split second, the spinal cord shatters. For millions, the damage is permanent. But in Shanghai and Suzhou, a group of scientists believes that might soon change.

This May, a biotech startup named XellSmart Biopharmaceutical received rare dual approval from both U.S. and Chinese regulators to launch a Phase I trial for an experimental treatment. The therapy is designed to repair spinal cord injuries using neurons grown in a lab.

The trial, described as the first of its kind, is being led by the Third Affiliated Hospital of Sun Yat-sen University in China. The goal: to test whether specialized nerve cells can be safely implanted into people whose spinal cords were recently injured.

A cell therapy for regenerating broken spinal cord using lab-grown neurons enters human trials for the first time.

Speed test of ‘tunneling’ electrons challenges alternative interpretation of quantum mechanics

As the traveled along the waveguide and tunneled into the barrier, they also tunneled into the secondary waveguide, jumping back and forth between the two at a consistent rate, allowing the research team to calculate their speed.

By combining this element of time with measurements of the photon’s rate of decay inside the barrier, the researchers were able to calculate dwell time, which was found to be finite.

The researchers write, “Our findings contribute to the ongoing tunneling time debate and can be viewed as a test of Bohmian trajectories in . Regarding the latter, we find that the measured energy–speed relationship does not align with the particle dynamics postulated by the guiding equation in Bohmian mechanics.”

Physicists take step toward a holy grail for electron spins

For decades, ferromagnetic materials have driven technologies like magnetic hard drives, magnetic random access memories and oscillators. But antiferromagnetic materials, if only they could be harnessed, hold out even greater promise: ultra-fast information transfer and communications at much higher frequencies—a “holy grail” for physicists.

Filters inspired by nose hair and nasal mucus promise cleaner air

One of the problems of conventional filters used in homes, businesses and public spaces is their poor performance. They rely on weak van der Waals forces to capture particles like dust and pollen, meaning they let a lot of stuff slip through. Nature, however, does the job a whole lot better.

Drawing inspiration from the , at Chung-Ang University in South Korea designed an air filtration system that mimics the coating nasal hairs.

Mathematical model clarifies scaling regimes in Lagrangian turbulence evolution

A sneeze. Ocean currents. Smoke. What do these have in common? They’re instances of turbulence: unpredictable, chaotic, uneven fluid flows of fluctuating velocity and pressure. Though ubiquitous in nature, these flows remain somewhat of a mystery, theoretically and computationally.

“Most flows that we encounter in nature are turbulent—it does not matter whether it is the flow outside the airplane that makes us fasten our seatbelts, or the flow in a small stream,” said UC Santa Barbara mathematics professor Björn Birnir.

“Turbulence is difficult to understand because the mathematical models that describe it are nonlinear, stochastic and the solutions are unstable. This made it necessary to develop new theories to truly understand the nature of turbulence.”