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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.

DeepRare AI helps shorten the rare disease diagnostic journey with evidence-linked predictions

Researchers developed DeepRare, an LLM-driven multi-agent diagnostic system that integrates clinical descriptions, phenotype data, and genomic information to improve rare disease identification. Across thousands of cases, the system showed higher diagnostic recall than existing AI tools and clinicians in benchmark testing, while providing traceable reasoning linked to medical evidence.

By 2050 we could get “10,000 years of technological progress”

Every major AI company has the same safety plan: when AI gets crazy powerful and really dangerous, they’ll use the AI itself to figure out how to make AI safe and beneficial. It sounds circular, almost satirical. But is it actually a bad plan? Today’s guest, Ajeya Cotra, recently placed 3rd out of 413 participants forecasting AI developments and is among the most thoughtful and respected commentators on where the technology is going.

She thinks there’s a meaningful chance we’ll see as much change in the next 23 years as humanity faced in the last 10,000, thanks to the arrival of artificial general intelligence. Ajeya doesn’t reach this conclusion lightly: she’s had a ring-side seat to the growth of all the major AI companies for 10 years — first as a researcher and grantmaker for technical AI safety at Coefficient Giving (formerly known as Open Philanthropy), and now as a member of technical staff at METR.

So host Rob Wiblin asked her: is this plan to use AI to save us from AI a reasonable one?

Ajeya agrees that humanity has repeatedly used technologies that create new problems to help solve those problems. After all:
• Cars enabled carjackings and drive-by shootings, but also faster police pursuits.
• Microbiology enabled bioweapons, but also faster vaccine development.
• The internet allowed lies to disseminate faster, but had exactly the same impact for fact checks.

But she also thinks this will be a much harder case. In her view, the window between AI automating AI research and the arrival of uncontrollably powerful superintelligence could be quite brief — perhaps a year or less. In that narrow window, we’d need to redirect enormous amounts of AI labour away from making AI smarter and towards alignment research, biodefence, cyberdefence, adapting our political structures, and improving our collective decision-making.

The plan might fail just because the idea is flawed at conception: it does sound a bit crazy to use an AI you don’t trust to make sure that same AI benefits humanity.

Continue reading “By 2050 we could get “10,000 years of technological progress”” | >

Key alterations discovered in the cerebral cortex of people with psychosis

Researchers at the University of Seville have analyzed alterations in the cerebral cortex in people suffering from psychosis. Their findings show that psychosis does not follow a single trajectory, but rather its evolution depends on a complex interaction between brain development, symptoms, cognition and treatment. The authors therefore emphasize the need to adopt more personalized approaches that take individual differences into account in order to better understand the disease and optimize long-term therapeutic strategies.

Psychosis is a set of symptoms—such as hallucinations and delusions—that are common in schizophrenia and involve a loss of contact with reality. From their first manifestation, known as the first psychotic episode, these symptoms can appear and evolve in very different ways between individuals, thus making schizophrenia a particularly complex disorder.

The results of the study show that, at the time of the first episode, people with psychosis present a reduction in cortical volume, which is particularly marked in regions with a high density of serotonin and dopamine receptors, key neurotransmitters in both the pathophysiology of psychosis and the mechanism of action of antipsychotics. The data also suggest that both neurons and other brain cells involved in inflammatory and immunological processes may play an important role in the disease.

One stem cell generates 14 million tumor-killing NK cells in major cancer breakthrough

Scientists in China have unveiled a breakthrough way to mass-produce powerful cancer-fighting immune cells in the lab. By engineering early-stage stem cells from cord blood—rather than trying to modify mature natural killer (NK) cells—they created a streamlined process that generates enormous numbers of highly potent NK cells, including CAR-equipped versions designed to hunt specific cancers.

Phonon lasers unlock ultrabroadband acoustic frequency combs

Acoustic frequency combs organize sound or mechanical vibrations into a series of evenly spaced frequencies, much like the teeth on a comb. They are the acoustic counterparts of optical frequency combs, which consist of equally spaced spectral lines and act as extraordinarily precise rulers for measuring light.

While optical frequency combs have revolutionized fields such as precision metrology, spectroscopy, and astronomy, acoustic frequency combs utilize sound waves, which interact with materials in fundamentally different ways and are well-suited for various sensing and imaging applications.

However, existing acoustic frequency combs operate only at very high, inaudible frequencies above 100 kHz and typically produce no more than a few hundred comb teeth, limiting their applicability.

Symbiotic bacteria in planthoppers break record for smallest non-organelle genome ever found

Many insects rely on heritable bacterial endosymbionts for essential nutrients that they cannot get through their diet. A new study, published in Nature Communications, indicates that the genomes of these symbiotic bacteria often shrink over time. Some of these bacteria, which live inside certain insect cells, have lost so many genes that they have broken the record for the tiniest genome ever found—almost blurring the lines between organelle and bacteria.

Endosymbiotic relationships are common in many insects, and in sap-sucking insects, like planthoppers and cicadas, they are essential for the insect’s survival. Because the sap of plants does not typically contain certain amino acids or vitamins, the insect must get them another way. Over hundreds of millions of years, these insects have co-evolved with bacteria that provide these additional nutrients.

Sulcia and Vidania are two examples of bacterial endosymbionts, which have co-evolved with planthoppers for more than 260 million years. These bacteria live in specialized cells within the planthopper abdomen. The new study has found that, along with their hosts, these endosymbionts have evolved—or devolved—in some unexpected ways.

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