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The first 100 people to use code UNIVERSE at the link below will get 60% off of Incogni: https://incogni.com/universe.

Researched and Written by Colin Stuart.
Check out his superb Astrophysics for Beginners course here: https://www.colinstuart.net/astrophysics-course-for-beginner…on-online/

Edited by Manuel Rubio.
Narrated and Script Edited by David Kelly.
Thumbnail art by Ettore Mazza, the GOAT: https://www.instagram.com/ettore.mazza/?hl=en.
Animations by Jero Squartini https://fiverr.com/freelancers/jerosq.
Stock footage taken from Videoblocks and Artgrid, music from Epidemic Sound, Artlist, Silver Maple and Yehezkel Raz.
Space imagery also used from NASA and ESO.

Specific image credits:
AT Service via Wikimedia for images of Kip Thorne and Bryce DeWitt.
Massachusetts Institute of Technology, via Wikimedia Commons for the image of Bruno Rossi.

00:00 Introduction.
06:00 The Block Universe.
16:25 Visiting The Future.
27:00 Visiting The Past.
37:59 Time Streams.

#wormhole #quantum

Continue reading “Is Time Travel Possible In Our Universe?” | >

Either the great copyright battle pitting the record industry against generative artificial intelligence has begun or someone’s clout-chasing AI headlines.

The generative AI music hype train only needed about 48 hours to go from “oh, that’s interesting” to full Balenciaga pope territory, and while it’s clear someone is using the technology to run a scheme, we’re still not sure who it is.

Here’s the short version:

Something doesn’t make sense.

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The new chip can wire together supercomputers for artificial intelligence networks.

American semiconductor manufacturing company Broadcom Inc. has released a new chip Jericho3-AI, which is being touted by the company as the highest-performance fabric for artificial intelligence (AI) networks. The new chip will wire together supercomputers.

G0d4ather/iStock.

Jericho3-AI is packed with features like improved load balancing — which ensures maximum network utilization under the highest network loads, congestion-free operation which implies no flow collisions and no jitter, high radix which allows Jericho3-AI to connect to 32,000 GPUs collectively, and Zero-Impact Failover — ensuring sub-10ns automatic path convergence. All of this would lead to cutting down on the job completion times for AI workload.

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A fresh round of patches has been made available for the vm2 JavaScript library to address two critical flaws that could be exploited to break out of the sandbox protections.

Both the flaws – CVE-2023–29199 and CVE-2023–30547 – are rated 9.8 out of 10 on the CVSS scoring system and have been addressed in versions 3.9.16 and 3.9.17, respectively.

Successful exploitation of the bugs, which allow an attacker to raise an unsanitized host exception, could be weaponized to escape the sandbox and run arbitrary code in the host context.

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Despite the impressive recent progress in AI capabilities, there are reasons why AI may be incapable of possessing a full “general intelligence”. And although AI will continue to transform the workplace, some important jobs will remain outside the reach of AI. In other words, the Economic Singularity may not happen, and AGI may be impossible.

These are views defended by our guest in this episode, Kenneth Cukier, the Deputy Executive Editor of The Economist newspaper.

For the past decade, Kenn was the host of its weekly tech podcast Babbage. He is co-author of the 2013 book “Big Data”, a New York Times best-seller that has been translated into over 20 languages. He is a regular commentator in the media, and a popular keynote speaker, from TED to the World Economic Forum.

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A wave of consumer enthusiasm following the launch of OpenAI’s viral ChatGPT has prompted some major tech companies to pour resources into AI development and launch new AI-powered products.

But not everyone is feeling optimistic about the highly intelligent technology.

Last month, several high-profile tech figures, including Elon Musk and Steve Wozniak, threw their weight behind an open letter calling for a pause on developing advanced AI. The letter cited various concerns about the consequences of developing tech more powerful than OpenAI’s GPT-4, including risks to democracy.

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