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Category: robotics/AI – Page 17
My Video Tour of Alcor and Interview with CEO Max More
What counts as death? And who gets to decide?
In the summer of 2013, I traveled to Scottsdale, Arizona to visit the Alcor Life Extension Foundation, the world’s leading cryonics organization, founded in 1972. CEO Dr. Max More gave me a full tour of the facilities and walked me through the entire process: from the moment clinical death is declared, through controlled cooling and vitrification, to the cryo-tanks holding (at the time) 117 patients in long-term storage.
I also asked him, somewhat selfishly, whether my big bald head would fit comfortably in a neuro-patient container.
After the tour, Max sat down with me for a 25-minute conversation that covered:
Affordability and the real cost of membership Why minimizing cooling delays after clinical death is critical, and what long-distance members do about it Preserving pets, because of course people ask Chemical brain preservation as an alternative path The importance of protecting the neuron’s microtubules The case for an X Prize style competition to reduce tissue damage Where cryonics sits inside the broader transhumanist project.
My favorite line from Max, the one I still come back to:
FULL SPEECH: Anthropic Co-Founder Warns AI Could Replace Human Jobs “At Very Large Scale” | AI1G
Anthropic Co-Founder Chris Olah warned that artificial intelligence could displace human labor “at very large scale” as he addressed the Vatican during the presentation of Pope Leo’s first encyclical on AI. The Anthropic co-founder urged stronger oversight from governments, religious leaders, and civil society, while raising concerns about AI’s growing power, global inequality, and mysterious internal behaviors observed in advanced systems.
Anthropic Co-Founder Warns AI Could Replace Human Jobs “At Very Large Scale”
Chris Olah Sounds Alarm Over AI Risks During Major Vatican Address.
“AI Could Displace Human Labour” — Anthropic Founder Issues Stark Warning.
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Live from Vatican City: Pope Leo participates in the presentation of his first major encyclical focused on the rise of artificial intelligence, marking a rare break from papal tradition.
Real-time coverage of this significant Vatican event with DRM News.
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Joscha Bach on Synthetic Consciousness & Computational Mind
The provided text outlines Joscha Bach theories regarding the nature of synthetic consciousness and the limitations of modern science. Bach posits that human experience is not a direct interaction with reality, but rather a simulated world model constructed by the brain internal software. He defines intelligence as the capacity to build these models in novel environments, suggesting that current artificial intelligence remains incomplete because it lacks genuine self-understanding. Furthermore, he challenges the narrow focus of contemporary academia and traditional neuroscience, arguing that minds are complex information-processing systems that cannot be explained by neural connections alone. Ultimately, these sources present a computational framework for understanding the self as a functional narrative rather than a mystical or purely physical entity.
AI speeds up discovery of next-gen computer chips and electronic materials
An international study team, led by Flinders University in collaboration with Khalifa University UAE, built the machine-learning platform to act like a “smart materials discovery engine,” which is capable of dramatically reducing the time spent on complex computer or lab experiments to test and find new materials for future semiconductors.
Semiconductors are used in high-tech applications from wearable electronics, communication systems and smartphones to medical and LED devices and solar panels.
“The challenge is that there are millions of possible material combinations, and testing them one by one in the laboratory or with complex computer simulations is extremely slow and expensive,” says Flinders University ARC Future Fellow Associate Professor Vi-Khanh Truong, lead author of a new article in ACS Materials Letters, titled “Bayesian optimization-guided discovery of gallium-containing semiconductors with targeted band gaps.”
MIT researchers use AI to uncover atomic defects in materials
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during the manufacturing process of products like steel, semiconductors, and solar cells to help improve strength, control electrical conductivity, optimize performance, and more.
But even as defects have become a powerful tool, accurately measuring different types of defects and their concentrations in finished products has been challenging, especially without cutting open or damaging the final material. Without knowing what defects are in their materials, engineers risk making products that perform poorly or have unintended properties.
Now, MIT researchers have built an AI model capable of classifying and quantifying certain defects using data from a noninvasive neutron-scattering technique. The model, which was trained on 2,000 different semiconductor materials, can detect up to six kinds of point defects in a material simultaneously, something that would be impossible using conventional techniques alone.