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In this episode, my guest is Matthew MacDougall, MD, the head neurosurgeon at Neuralink. Dr. MacDougall trained at the University of California, San Diego and Stanford University School of Medicine and is a world expert in brain stimulation, repair and augmentation. He explains Neuralink’s mission and projects to develop and use neural implant technologies and robotics to 1) restore normal movement to paralyzed patients and those with neurodegeneration-based movement disorders (e.g., Parkinson’s, Huntington’s Disease) and to repair malfunctions of deep brain circuitry (e.g., those involved in addiction). He also discusses Neuralink’s efforts to create novel brain-machine interfaces (BMI) that enhance human learning, cognition and communication as a means to accelerate human progress. Dr. MacDougall also explains other uses of bio-integrated machines in daily life; for instance, he implanted himself with a radio chip into his hand that allows him to open specific doors, collect and store data and communicate with machines and other objects in unique ways. Listeners will learn about brain health and function through the lens of neurosurgery, neurotechnology, clinical medicine and Neuralink’s bold and unique mission. Anyone interested in how the brain works and can be made to work better ought to derive value from this discussion.

#HubermanLab #Neuroscience.

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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:

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:


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.

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.

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.