Lifeboat Foundation

The potential of AI, particularly in narrow domains, is immense and has the capability to revolutionize various fields, but it also poses significant dangers if not carefully managed and understood Questions to inspire discussion What are the potential dangers of AI? —The potential dangers of AI include the possibility of open sourcing technology leading to the creation of atomic bombs and the dangers of open sourcing large language models for bad purposes.

People like the veteran computer scientist Ray Kurzweil had anticipated that humanity would reach the technological singularity (where an AI agent is just as smart as a human) for yonks, outlining his thesis in ‘The Singularity is Near’ (2005) – with a projection for 2029.

Disciples like Ben Goertzel have claimed it can come as soon as 2027. Nvidia’s CEO Jensen Huang says it’s “five years away”, joining the likes of OpenAI CEO Sam Altman and others in predicting an aggressive and exponential escalation. Should these predictions be true, they will also introduce a whole cluster bomb of ethical, moral, and existential anxieties that we will have to confront. So as The Matrix turns 25, maybe it wasn’t so far-fetched after all?

Continue reading “As ‘The Matrix’ turns 25, the chilling artificial intelligence (AI) projection at its core isn’t as outlandish as it once seemed” »

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

Unlike me, Kurzweil has been embracing AI for decades. In his 2005 book, The Singularity Is Near: When Humans Transcend Biology, Kurzweil made the bold prediction that AI would expand human intelligence exponentially, changing life as we know it. He wasn’t wrong. Now in his 70s, Kurzweil is upping the ante in his newest book, The Singularity Is Nearer: When We Merge with AI, revisiting his prediction of the melding of human and machine, with 20 additional years of data showing the exponential rate of technological advancement. It’s a fascinating look at the future and the hope for a better world.

Kurzweil has long been recognized as a great thinker. The son of a musician father and visual artist mother, he grew up in New York City and at a young age became enamored with computers, writing his first computer program at the age of 15.

While at MIT, earning a degree in computer science and literature, Kurzweil started a company that created a computer program to match high school students with colleges. In the ensuing years, he went on to found (and sell) multiple technology-fueled companies and inventions, including the first reading machine for the blind and the first music synthesizer capable of re-creating the grand piano and other orchestral instruments (inspired by meeting Stevie Wonder). He has authored 11 books.

One of the most influential figures in the field of AI, Ray Kurzweil, has famously predicted that the singularity will happen by 2045. Kurzweil’s prediction is based on his observation of exponential growth in technological advancements and the concept of “technological singularity” proposed by mathematician Vernor Vinge.

It is with sadness — and deep appreciation of my friend and colleague — that I must report the passing of Vernor Vinge.

The technological singularity —or simply the singularity^[1] —is a hypothetical future point in time at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable consequences for human civilization.^[2][3] According to the most popular version of the singularity hypothesis, I. J. Good’s intelligence explosion model, an upgradable intelligent agent will eventually enter a “runaway reaction” of self-improvement cycles, each new and more intelligent generation appearing more and more rapidly, causing an “explosion” in intelligence and resulting in a powerful superintelligence that qualitatively far surpasses all human intelligence.^[4]

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Musk made this comment while reposting a clip from Joe Rogans podcast with American computer scientist Ray Kurzweil. The topic was when AI will achieve human-level intelligence. Musk said that “AI will probably be smarter than any single human next year.”

In this episode, recorded during last year’s Abundance360 summit, Ray Kurzweil answers questions from the audience about AI, the future, and how this change will affect all aspects of our society.

Ray Kurzweil, an American inventor and futurist, is a pioneer in artificial intelligence, having contributed significantly to OCR, text-to-speech, and speech recognition technologies. Author of numerous books on AI and the future of technology, he’s received the National Medal of Technology and Innovation, among other honors. At Google, Kurzweil focuses on machine learning and language processing, driving advancements in technology and human potential.

Continue reading “Ray Kurzweil Q&A — The Singularity, Human-Machine Integration & AI | EP #83” »

https://www.youtube.com/watch?v=tFx_UNW9I1U&si=QxOgeE59dOkGDFck

This definitely is a Lifeboat post embodying what Lifeboat is about, and it’s only about AI. They did a really good job explaining the 10 stages.

This video explores the 10 stages of AI, including God-Like AI. Watch this next video about the Technological Singularity: • Technological Singularity: 15 Ways It…
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