for - AI - security - Open AI - examples of poor security - high risk for humanity

AI - security - Open AI - examples of poor security - high risk for humanity - ex-employees report very inadequate security protocols - employees have had screenshots capture while at cafes outside of Open AI offices - People like Jimmy Apple report future releases on twitter before Open AI does

for - AI - security risk - once automated AI research is known, bad actors can easily build superintelligence

AI - security risk - once automated AI research is known, bad actors can easily build superintelligence - Any lead that the US had would immediately vanish.

for - AI - security risk - model weight files - are a key leverage point

AI - security risk - model weight files - are a key leverage point for bad actors - These files are critical national security data that represent huge amounts of investment in time and research and they are just a file so can be easily stolen.

for - AI - security risk - next 1 to 2 years is vulnerable time to keep AI secrets out of hands of authoritarian regimes

for - key insight - low security at top AI labs - high risk of information theft ending up in wrong hands

This is the weird part of these articles … he has just made a cast-iron argument for regulation and then says "I'm not sure"!!

That first sentence alone is enough for the case. Why? Because he doesn't need to think for sure that AI is like that power plant ... he only needs to think there is a (even small) probability that AI is like that power plant. If he thinks that it could be even a bit like that power plant then we shouldn't build it. And, finally, in saying "I'm not sure" he has already acknowledged that there is some probability that AI is like the power plant (otherwise he would say: AI is definitely safe).

Strictly, this is combining the existence of the risk with the "ruin" aspect of this risk: one nuclear power blowing up is terrible but would not wipe out the whole human race (and all other species). A "bad" AI quite easily could (malevolent by our standards or simply misdirected).

All you need in these arguments is a simple admission of some probability of ruin. And almost everyone seems to agree on that.

Then it is a slam dunk to regulate strongly and immediately.

👍

Key finding Paraphrase - So what does a conscious universe have to do with AI and existential risk? - It all comes back to whether our primary orientation is around - quantity, or around - quality. - An understanding of reality - that recognises consciousness as fundamental - views the quality of your experience as - equal to, - or greater than, - what can be quantified.

• Orienting toward quality,
  • toward the experience of being alive,
• can radically change
  • how we build technology,
  • how we approach complex problems,
  • and how we treat one another.

Quote - metaphysics of quality - would open the door for ways of knowing made secondary by physicalism

Author - Robert Persig - Zen and the Art of Motorcycle Maintenance // - When we elevate the quality of each our experience - we elevate the life of each individual - and recognize each individual life as sacred - we each matter - The measurable is also the limited - whilst the immeasurable and directly felt is the infinite - Our finite world that all technology is built upon - is itself built on the raw material of the infinite

//

Key observation - If the metaphysical foundations of our society tell us we have no soul, - how are we going to imbue soul into AI? - Four hundred years after Descartes and Hobbs, - our scientific methods and cultural stories are still heavily influenced by their ideas.

Quote - AI Gedanken - AI risk - The Paperclip Maximizer

AI is a multi-polar trap

Title Reality Eats Culture For Breakfast: AI, Existential Risk and Ethical Tech Why calls for ethical technology are missing something crucial Author Alexander Beiner

Summary - Beiner unpacks the existential risk posed by AI - reflecting on recent calls by tech and AI thought leaders - to stop AI research and hold a moratorium.

• Beiner unpacks the risk from a philosophical perspective

  • that gets right to the deepest cultural assumptions that subsume modernity,
  • ideas that are deeply acculturated into the citizens of modernity.

• He argues convincingly that

  • the quandry we are in requires this level of re-assessment
    • of what it means to be human,
    • and that a change in our fundamental cultural story is needed to derisk AI.

on both short term and long term risks in AI

https://web.archive.org/web/20230316192144/https://garymarcus.substack.com/p/should-we-worry-more-about-short?utm_source=twitter&sd=pf

Eric Topol. (2022, February 28). A multimodal #AI study of ~54 million blood cells from Covid patients @YaleMedicine for predicting mortality risk highlights protective T cell role (not TH17), poor outcomes of granulocytes, monocytes, and has 83% accuracy https://nature.com/articles/s41587-021-01186-x @NatureBiotech @KrishnaswamyLab https://t.co/V32Kq0Q5ez [Tweet]. @EricTopol. https://twitter.com/EricTopol/status/1498373229097799680

AI and control of Covid-19 coronavirus. (n.d.). Artificial Intelligence. Retrieved October 15, 2020, from https://www.coe.int/en/web/artificial-intelligence/ai-and-control-of-covid-19-coronavirus

Building the New Economy · Works in Progress. (n.d.). Works in Progress. Retrieved June 16, 2020, from https://wip.mitpress.mit.edu/new-economy

How COVID-19 revealed 3 critical AI procurement blindspots. (n.d.). World Economic Forum. Retrieved June 22, 2020, from https://www.weforum.org/agenda/2020/06/how-covid-19-revealed-3-critical-blindspots-ai-governance-procurement/