And I say irony because of the fact that we, humans, design tests to evaluate the capabilities of AI, and then it’s the AI that comes along to point out the errors made by humans in our tests.
AGI
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AGI ALPHA: Scalable Substrate for Intelligence Organizations
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"AGI ALPHA: A Scalable Substrate for Intelligence Organizations" Vincent Boucher, President of http://
MONTREAL.AI and http://
QUEBEC.AI Paper: https://
github.com/MontrealAI/agi
alpha-first-real-loop/blob/main/docs/manuscript/AGI_ALPHA_Unified_Publication_Final.pdf
… #AGIAlpha #QuebecAI #SovereignAI -
Reflecting on the societal impact and risks of Super AI
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Le 14 mai, @Alex_Tsico et moi nous sortons « Vivre 1000 ans » Nous racontons nos espoirs et angoisse face à la révolution de la Super IA
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AGI as the ultimate life coach
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We will know we have reached AGI when AI stops reminding us about our goals and starts asking why we abandoned them. At that point, it is no longer an assistant. It is a life coach with server costs. What is the most passive-aggressive app reminder you have ever received?
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East Coast consensus contrasts with West Coast rapid automation vision
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I think that is the East Coast consensus, generally: jaggedness + the complexity of actual organizations + social constraints mean that even true ASI is less abruptly transformative than the West Coast vision of massive rapid automation as soon as AI capabilities get good enough
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Curing cancer easier than replacing Accenture, AI labs predict 2035 job loss
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I think it is a reasonable argument to say "curing cancer will be easier than replacing Accenture," but the general pitch from many at the AI labs has been "we are worried most white collar jobs will be replaced by 2035" which implies some belief that AI becomes self-adopting.
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True Superintelligence: Infer or Bypass Tacit Knowledge?
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A true superintelligence should be able to infer or elicit tacit/contextual knowledge? Or route around it? Otherwise AI installations are still held back by Hayek, Coase, Weber, etc.: human constraints navigated by humans. Mediated adoption, not the "all jobs transformed" pitch
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AI labs’ ASI belief signaled by disbanding consulting, jobs safe
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You will know that the AI labs believe in ASI when they disband their newly formed consulting (sorry “forward deployed engineering”) groups. As long as people are required to figure out how AI is useful & do organizational change & systems integration, jobs seem to be pretty safe
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The necessity of world models in AI systems
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might be the other way around. and it’s not totally clear what the term means. but you need a world model for any of these things.
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Ilya Sutskever on the exponential growth of AI capabilities since 2018
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The setup to this quote was also chuckle-worthy when @ilyasut was asked to describe the difference between AI in 2018 vs 2026: “If you compare 2018 to now, yeah it’s like the difference between an ant and a cat, so yeah it’s a big difference.”