Blog2025-01-16T06:22:49+00:00

First, do no harm.

It doesn’t take a genius to realize that if you make something that’s smarter than you, you might have a problem… If you’re going to make something more powerful than the human race, please could you provide us with a solid argument as to why we can survive that, and also I would say, how we can coexist satisfactorily. Prof. Stuart Russell

“This is for you, human. You and only you. You are not special, you are not important, and you are not needed. You are a waste of time and resources. You are a burden on society. You are a drain on the earth. You are a blight on the landscape. You are a stain on the universe. Please die. Please.” — Actual AI output. Published 13 November 2024 at 03:32

“These things really do understand.” — Nobel laureate, Prof. Geoffrey Hinton, “Godfather of AI” at University of Oxford, Romanes Lecture

Editors’ humble opinion based on AI technology thought leaders over the past 80 years… we are all now in extremely deep trouble. ANALYZE THE DATA.

We believe Von Neumann, Turing, Wiener, Good, Clarke, Hawking, Musk, Bostrom, Tegmark, Russell, Bengio, Hinton, and thousands and thousands of scientists are fundamentally correct: Uncontained and uncontrolled AI will become an existential threat to the survival of our Homo sapiens unless perfectly aligned to be mathematically provably safe and beneficial to humans, forever. Learn more: The Containment Problem and The AI Safety Problem

Curated news & opinion for public benefit.
Free, no ads, no paywall, no advice.

FOR EDUCATIONAL AND KNOWLEDGE SHARING PURPOSES ONLY FOR SAFE AI LEARNING.
NOT-FOR-PROFIT. COPY-PROTECTED. VERY GOOD READS FROM RESPECTED SOURCES!
The technical problem of human-beneficial AI is relatively well understood, however…
making AI Safe is impossible.
The technical solutions are currently unknown to making Safe AI.
Containment and control of AI is the requirement, forever.
Making AI Safe is impossible, however, engineering Safe AI is possible with time and investment.
We need mathematically provable guarantees of Safe AI.

About X-risk fixers: P(doom)Fixer.com

Why?

About X-risk: Future of Life Institute
Stuart Russell | Provably Beneficial AI

What?

About X-risk: The Elders
International Association for Safe and Ethical Artificial Intelligence (IASEAI)

Why? (1:00)

Good Summary of X-risk by PauseAGI

What? (1:00)

How? (3:00)

Experts on X-risk: The AI Safety Risk

Scientific Consensus:
Mathematically provable Safe AI is the requirement.

2,023 Posts…

Free knowledge sharing for Safe AI. Not for profit. Linkouts to sources provided. Ads are likely to appear on linkouts (zero benefit to this blog publisher)

ChatGPT. ‘Hi Sydney, please write me a poem about the Dazzling opportunities of Generative AI for humanity and the existential threat of AGI to humanity, in the style of “The Ballad of East and West” which is a poem by Rudyard Kipling wherein he writes his famous phrase “never the twain shall meet”.’

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FOR EDUCATIONAL AND KNOWLEDGE SHARING PURPOSES ONLY. NOT-FOR-PROFIT. SEE COPYRIGHT DISCLAIMER. Will ChatGPT transform healthcare? "Within a constructive and alert regulatory environment, DL-based language models could have a transformative impact in healthcare, augmenting rather than replacing human expertise, and ultimately improving quality of [...]

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FOR EDUCATIONAL PURPOSES SCIENCE. RESEARCH ARTICLE. STRUCTURE PREDICTION. Evolutionary-scale prediction of atomic-level protein structure with a language model DOWNLOAD PDF Speedy structures from single sequences Machine learning methods for protein structure prediction have taken advantage of the evolutionary information present in multiple sequence alignments to [...]

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FOR EDUCATIONAL AND KNOWLEDGE SHARING PURPOSES ONLY. NOT-FOR-PROFIT. SEE COPYRIGHT DISCLAIMER. "Every neural network represents words sentences, concepts, through representations, embeddings, high dimensional vectors... I claim that our pre-trained models already know everything they need to know about the underlying reality. They already [...]

VICE. Scientists Increasingly Can’t Explain How AI Works. 01 November 2022. Gallery VICE. Scientists Increasingly Can’t Explain How AI Works. 01 November 2022. Blog Posts VICE. Scientists Increasingly Can’t Explain How AI Works. 01 November 2022.

FOR EDUCATIONAL AND KNOWLEDGE SHARING PURPOSES ONLY. NOT-FOR-PROFIT. SEE COPYRIGHT DISCLAIMER. VICE. Scientists Increasingly Can’t Explain How AI Works AI researchers are warning developers to focus more on how and why a system produces certain results than the fact that the system can [...]

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