Blog2025-04-23T05:26:10+00:00

First, do no harm.

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

OBVIOUSLY: “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

TEAM HUMAN: “I’m on Team Human. AI for humans, not AGI. Let’s build AI systems with goals we can confidently control.”— Prof. Max Tegmark, Future of Life Institute

STEER CLEAR: “There are different paths that we can take… if a ship is heading for an iceberg, you might not be able to pull the brakes and just stop, and you might not want to stop because you want the ship to keep going, you want to get to your destination. But you can steer away from the iceberg. And as I see it this road toward AGI like very autonomous human replacement which then leads to Super-intelligence, that’s the iceberg. We don’t have to go there.”— Prof. Anthony Aguirre, Keep the Future Human

FOR EXAMPLE: “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 Nov. 2024 at 03:32

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

Scientific Consensus:
Mathematically provable Safe AI is the requirement.

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)

How?

UC Berkeley Center for Human-Compatible AI
Stuart Russell: The Ethics of AI [common sense]

Why? (1 min.)

Good Summary of X-risk by PauseAGI

What? (1 min.)

About X-risk: The Containment Problem

How? (3 min.)

Experts on X-risk: The AI Safety Risk

Summary of A-G-I and superintelligence governance via liability and regulation. Liability is highest, and regulation strongest, at the triple-intersection of Autonomy, Generality, and Intelligence. Safe harbors from strict liability and strong regulation can be obtained via affirmative safety cases demonstrating that a system is weak and/or narrow and/or passive. Caps on total Training Compute and Inference Compute rate, verified and enforced legally and using hardware and cryptographic security measures, backstop safety by avoiding full AGI and effectively prohibiting superintelligence. By Anthony Aguirre, How Not To Build AGI, Keep the future human.

1,369 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)

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2024 Vienna Conference on Autonomous Weapons Systems. 29-30 APRIL.

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U.S. Critical Infrastructure Security and Resilience. Critical Infrastructure Sectors. CISA.gov. An official website of the U.S. Department of Homeland Security.

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U.S. SENATE Mitt Romney. Romney, Reed, Moran, King Unveil Framework to Mitigate Extreme AI Risks. First of its kind framework establishes federal oversight of frontier AI to guard against biological, chemical, cyber, and nuclear threats.

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PRESS RELEASE. U.S. Commerce Secretary Gina Raimondo Announces Expansion of U.S. AI Safety Institute Leadership Team. The institute is housed at the National Institute of Standards and Technology (NIST). April 16, 2024

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FOR EDUCATIONAL AND KNOWLEDGE SHARING PURPOSES ONLY. NOT-FOR-PROFIT.

IMPORTANT COPYRIGHT DISCLAIMER. THIS AI SAFETY BLOG IS FOR EDUCATIONAL PURPOSES ONLY AND KNOWLEDGE SHARING IN THE GENERAL PUBLIC INTEREST ONLY. This free and open not-for-profit ‘First do no harm.’ AI-safety blog is curated and organised by BiocommAI. Some of the following selected stand-out information is copyrighted and is CITED WITH LINK-OUT to the respective publisher sources. These vital public interest stories are selected and presented to serve the global public humanitarian interest for educational and knowledge sharing purposes regarding the EXISTENTIAL THREAT TO HUMANITY OF THE PROLIFERATION OF UNCONTROLLED, UNCONTAINED, UNSAFE AND UNREGULATED AI TECHNOLOGY. Copyrights owned by publishing sources are respectfully cited by the LINK-OUT to all sources. To request a takedown or update please contact: info@biocomm.ai

IMPORTANT DISCLOSURE: None of the information is this blog is meant to be construed as investment advice. This blog is for educational and knowledge sharing purposes only. Opinions expressed are based upon information considered reliable, but this blog does not warrant its completeness or accuracy, and it should not be relied upon as such- always do your own due diligence. This blog is not under any obligation to update or correct any information provided. Statements and opinions are subject to change without notice. No compensation is received for the opinions expressed. Past performance is not indicative of future results. This blog does not relate to any specific outcome or profit. You should be aware of the real risk of loss in following any strategy or investment in AI business opportunities or products. Strategies or investments discussed may fluctuate in price or value. Investors may get back less than invested. Information or strategies mentioned or referenced in this blog may not be relevant for investment analysis. Always seek advice from your own financial or investment adviser.

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