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“Extraordinary” Slow-Spinning Neutron Star Shakes Astrophysics

Most collapsed stars fully rotate in seconds. This one takes almost an hour.

Australian scientists from the University of Sydney and Australia’s national science agency, CSIRO, have detected what is likely a neutron star spinning slower than any other ever measured.

No other radio-emitting neutron star, out of the more than 3,000 discovered so far, has been discovered rotating so slowly. The results are published today (June 5) in Nature Astronomy.

Actor and investor Ashton Kutcher Lauds OpenAI’s Video Model Sora

Basically confirmed whats been said here. AI will take over film making by 2029/2030.


Actor and entrepreneur Ashton Kutcher lauded OpenAI’s generative AI video tool Sora at a recent event. “I’ve been playing around with Sora, this latest thing that OpenAI launched that generates video,” Kutcher said. “I have a beta version of it, and it’s pretty amazing. Like, it’s pretty good.”

He explained that users specify the shot, scene, or trailer they desire. “It invents that thing. You haven’t shot any footage, the people in it don’t exist,” he said.

According to Kutcher, Sora can create realistic 10–15 second videos, despite still making minor mistakes and lacking a full understanding of physics. However he said that the technology has come a long way in just one year, with significant leaps in quality and realism.

Strong Emergence vs. The Core Theory (Response to Sean Carroll)

The core theory, weak vs. strong emergence, micro-reductionism, and Sean Carroll’s skeptical argument against everything. Is Dr. Carroll correct in holding that physics has ruled out the afterlife, an immaterial soul, fundamental consciousness, and parapsychology?

Linktree https://linktr.ee/emersongreen.

LINKS

Sean Carroll speaking to the Freedom From Religion Foundation • Sean Carroll: Has Science Refuted Rel…

Philip Goff: Is physics different in the brain?

Papers:

Introducing Generative Physical AI

@NVIDIAOmniverse is a development platform for virtual world simulation, combining real-time physically based rendering, physics simulation, and generative AI technologies.

In Omniverse, robots can learn to be robots – minimizing the sim-to-real gap, and maximizing the transfer of learned behavior.

Building robots with generative physical AI requires three computers:

- NVIDIA AI supercomputers to train the models.
- NVIDIA Jetson Orin, and next generation Jetson Thor robotics supercomputer, to run the models.
- And NVIDIA Omniverse, where robots can learn and refine their skills in simulated worlds.

Read the press release.

#OpenUSD #Robotics #COMPUTEX2024 #IsaacSim

A New Theory of Time — Lee Smolin

Is it possible that time is real, and that the laws of physics are not fixed? Lee Smolin, A C Grayling, Gillian Tett, and Bronwen Maddox explore the implications of such a profound re-think of the natural and social sciences, and consider how it might impact the way we think about surviving the future.

Listen to the podcast of the full event including audience Q\&A: http://www.thersa.org/__data/assets/f

Follow the RSA on Twitter: / thersaorg.
Like the RSA on Facebook: / thersaorg.

Our events are made possible with the support of our Fellowship. Support us by donating or applying to become a Fellow.

Donate: http://www.thersa.org/support-the-rsa.
Become a Fellow: http://www.thersa.org/fellowship/apply

Theory of everything: how a fear of failure is hampering physicists’ quest for the ultimate answer

It is likely that a theory of everything will ultimately require massive collaboration to be solved. Ironically, this may be a job for the older physicists, despite the warnings of Eddington and others. Francis Crick dedicated his attention to trying to solve the problem of consciousness in his later years, albeit without success.

We need collaboration. But we may be looking at the prospect of a theory of everything only coming from those who have accomplished so much they can afford the potential embarrassment and will be given the benefit of the doubt. This hardly stirs the enthusiasm of the vibrant, young minds that may otherwise tackle the problem.

In trying to solve the ultimate problem, we may have inadvertently created a monster. Our academic framework for research progression is not conducive to it, and history has presented an unkind picture of what happens to those who try.

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