Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 383

In a Leicester study that looked at whether artificial intelligence (AI) can be used to predict whether a person was at risk of a lethal heart rhythm, an AI tool correctly identified the condition 80 per cent of the time.

The findings of the study, led by Dr Joseph Barker working with Professor Andre Ng, Professor of Cardiac Electrophysiology and Head of Department of Cardiovascular Sciences at the University of Leicester and Consultant Cardiologist at the University Hospitals of Leicester NHS Trust, have been published in the European Heart Journal-Digital Health.

Ventricular arrhythmia (VA) is a heart rhythm disturbance originating from the bottom chambers (ventricles) where the heart beats so fast that blood pressure drops which can rapidly lead to loss of consciousness and sudden death if not treated immediately.

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Artificial Intelligence — yada, yada, yada.

Sometimes the only way to learn how to swim is to be tossed into the deep end. And that is exactly what I have decided to do.

Herewith a very short elementary course. ChatGPT, OpenAI etc. are all based on LLM — large language models. They scraped a couple billion words and images and then using a magic Cuisinart, they mixed and matched until their platform software was able to know what you thought you were thinking before you thought it, or in the alternative gave you information in an elegant format that you could give to your professor while assuring him that you wrote or painted it yourself. Or not.

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Process, and store data, most of which is handled by the rapidly expanding cloud. A stable, secure, real-time system may allow for interfacing the cloud with the human brain. One promising strategy for enabling such a system, denoted here as a “human brain/cloud interface” (“B/CI”), would be based on technologies referred to here as “neuralnanorobotics.” Future neuralnanorobotics technologies are anticipated to facilitate accurate diagnoses and eventual cures for the ∼400 conditions that affect the human brain. Neuralnanorobotics may also enable a B/CI with controlled connectivity between neural activity and external data storage and processing, via the direct monitoring of the brain’s ∼86 × 109 neurons and ∼2 × 1014 synapses. Subsequent to navigating the human vasculature, three species of neuralnanorobots (endoneurobots, gliabots, and synaptobots) could traverse the blood–brain barrier (BBB), enter the brain parenchyma, ingress into individual human brain cells, and autoposition themselves at the axon initial segments of neurons (endoneurobots), within glial cells (gliabots), and in intimate proximity to synapses (synaptobots). They would then wirelessly transmit up to ∼6 × 1016 bits per second of synaptically processed and encoded human–brain electrical information via auxiliary nanorobotic fiber optics (30 cm3) with the capacity to handle up to 1018 bits/sec and provide rapid data transfer to a cloud based supercomputer for real-time brain-state monitoring and data extraction. A neuralnanorobotically enabled human B/CI might serve as a personalized conduit, allowing persons to obtain direct, instantaneous access to virtually any facet of cumulative human knowledge. Other anticipated applications include myriad opportunities to improve education, intelligence, entertainment, traveling, and other interactive experiences. A specialized application might be the capacity to engage in fully immersive experiential/sensory experiences, including what is referred to here as “transparent shadowing” (TS). Through TS, individuals might experience episodic segments of the lives of other willing participants (locally or remote) to, hopefully, encourage and inspire improved understanding and tolerance among all members of the human family.

“We’ll have nanobots that… connect our neocortex to a synthetic neocortex in the cloud… Our thinking will be a… biological and non-biological hybrid.”

— Ray Kurzweil, TED 2014

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“Microsoft has demonstrated its ability to build pioneering AI infrastructure used to train and deploy the world’s leading AI models,” a Microsoft spokesperson told the site. “We are always planning for the next generation of infrastructure innovations needed to continue pushing the frontier of AI capability.”

Needless to say, that’s a mammoth investment. As such, it shines an even brighter spotlight on a looming question for the still-nascent AI industry: how’s the whole thing going to pay for itself?

So far, most companies in the space — Microsoft and OpenAI included — have offered significant AI services for free, sometimes with a more advanced upsell version like OpenAI’s ChatGPT Plus.

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