Five malicious Rust crates and an AI bot exploited CI/CD pipelines and GitHub Actions in Feb 2026, stealing developer secrets and tokens.
Category: robotics/AI
Caretaker AI & Genius Loci: When Worlds Grow Minds of Their Own
Meet the caretaker AIs: guardians of planets, habitats, and civilizations. What happens when machines become the spirit and soul of the worlds they protect?
Checkout Rifftrax https://go.nebula.tv/rifftrax?ref=isa… Watch my exclusive video The Fermi Paradox — Civilization Extinction Cycles: https://nebula.tv/videos/isaacarthur–… Nebula using my link for 40% off an annual subscription: https://go.nebula.tv/isaacarthur Grab one of our new SFIA mugs and make your morning coffee a little more futuristic — available now on our Fourthwall store! https://isaac-arthur-shop.fourthwall… Visit our Website: http://www.isaacarthur.net Join Nebula: https://go.nebula.tv/isaacarthur Support us on Patreon: / isaacarthur Support us on Subscribestar: https://www.subscribestar.com/isaac-a… Facebook Group:
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/ discord Credits: Caretaker AI & Genus Loci 2025 Edition Written, Produced & Narrated by: Isaac Arthur Editors: Ludwig Luska Graphics: Bryan Versteeg Jeremy Jozwik Ken York YD Visual Kris Holland Mafic Studios Select imagery/video supplied by Getty Images Music Courtesy of Epidemic Sound http://epidemicsound.com/creator.
Watch my exclusive video The Fermi Paradox — Civilization Extinction Cycles: https://nebula.tv/videos/isaacarthur–…
Get Nebula using my link for 40% off an annual subscription: https://go.nebula.tv/isaacarthur.
Grab one of our new SFIA mugs and make your morning coffee a little more futuristic — available now on our Fourthwall store! https://isaac-arthur-shop.fourthwall…
Visit our Website: http://www.isaacarthur.net.
Join Nebula: https://go.nebula.tv/isaacarthur.
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Credits:
Caretaker AI & Genus Loci 2025 Edition.
Written, Produced & Narrated by: Isaac Arthur.
Editors: Ludwig Luska.
Graphics:
Bryan Versteeg.
Jeremy Jozwik.
Ken York YD Visual.
Kris Holland Mafic Studios.
Select imagery/video supplied by Getty Images.
Music Courtesy of Epidemic Sound http://epidemicsound.com/creator
How AI is integrated into clinical workflow lowers medical liability perception
Artificial intelligence (AI) is changing the field and practice of medicine, including legal liability and the perception of who is at fault when a patient experiences harm. “AI holds promise to improve the quality and safety of health care and to reduce errors and patient harm, but the risk of legal liability is a potential barrier for investment and development of this technology as well as the quality of care,” said Michael Bruno, professor of radiology and of medicine at Penn State College of Medicine.
Now, Bruno, working alongside a team of researchers from Brown University and Seton Hall University School of Law, found that the understanding of physician liability is influenced by the way in which AI is integrated into a clinician’s workflow. The study was published in the journal Nature Health.
The researchers presented mock jurors with a hypothetical malpractice case where a patient suffered irreversible brain damage because a radiologist didn’t detect a brain bleed from a computerized tomography (CT) scan, even though AI correctly identified the scan as abnormal.
Joscha Bach delivers “The Machine Consciousness Hypothesis” at Future Day 2026
Can AI become conscious?
What is consciousness for? And is biological consciousness best understood as a self-organising algorithm that could, in principle, be recreated in machines?
In this talk, Joscha explores consciousness as perception of perception, coherence maintenance, modelling, resonance, self-organisation, and the possibility that machine consciousness may emerge through the right virtual architecture.
Essay: ‘The Machine Consciousness Hypothesis’ by Joscha Bach & Hikari Sorenson: https://cimc.ai/cimcHypothesis.pdf
CIMC: https://cimc.ai
Post: https://scifuture.org/joscha-bach-the… Intro
‘Mesoscale’ swimmers could pave way for drug delivery robots inside the body
In physics, the mesoscale lies between the microscopic and the macroscopic. It is not just the domain of tiny living creatures like small larvae, shrimp, and jellyfish, but also where physics equations become extreme. While the macroscopic realm is governed by inertia and the microscopic by viscosity, the mesoscale is both and neither, requiring a new set of physics to describe it.
Now, physicists at Aalto University’s Department of Applied Physics have discovered how organisms swim in the mesoscale mix of viscosity and inertia. The study was recently published in the journal Communications Physics.
Led by Assistant Professor Matilda Backholm, the multidisciplinary team found the key to efficient swimming in this realm is not just moving faster or growing bigger, but a phenomenon of non-reciprocal motion known as time reversal symmetry breaking. The results help fill a knowledge gap in fundamental physics and could pave the way for applications such as mesorobotics; tiny robots injected inside a patient’s body for drug delivery or carrying out medical procedures.
Robotic microfluidic platform brings AI to lipid nanoparticle design
AI has designed candidate drugs for antibiotic-resistant infections and genetic diseases. But efforts to incorporate AI into the design of lipid nanoparticles (LNPs), the revolutionary delivery vehicles behind mRNA therapies like the COVID-19 vaccines, have been much more limited.
Designing LNPs is especially challenging: Each formulation combines multiple lipid components whose ratios influence how the particle delivers genetic instructions inside cells. Scientists still lack a clear map connecting those chemical inputs to biological outcomes.
The reason? There simply isn’t enough data.
Mapping 3D-super-enhancers with machine learning to pinpoint regulators of cell identity
Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three dimensions (3D). To better understand how key components of this machinery, such as super-enhancers, regulate genes in this 3D reality, scientists at St. Jude Children’s Research Hospital have developed a new algorithm called BOUQUET.
Using machine learning, BOUQUET reveals that sets of genes and their regulatory elements can interact within protein condensates, high-density membraneless droplets, in cells’ nuclei. The findings, which provide new insight into how cells regulate the genes that control their specialized identities, were published today in Nucleic Acids Research.
Cells express certain sets of genes to carry out specific functions; for example, a blood cell and a brain cell express different context-specific genes. There are 3 billion base pairs of human DNA, and the genes involved in cell identity are scattered throughout. Even more challenging, enhancers, DNA elements that activate gene expression, can be thousands of DNA bases away from their target genes.