Yes for sure. It could happen either way, but some actions and inherently power-centralizing and therefore will make it much more likely.
AGI
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AI Opacity Shifts Collaboration to Supplication Dynamic
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As AI systems keep getting better at very hard problems while getting more opaque, the way that we work with AI is shifting from being collaborators who shape the process to being supplicants who receive the output. I discussed what that means.
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AI Agents’ Limitations in Solving Hard Tasks
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1- running agents for longer dones not increase success rate to 100% : a dumb model will never solve hard tasks no matter how long it runs
(Same as in an IQ test actually, to use your analogy: spending even days on a task you don't understand won't help you solve it)
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Individual Accumulates 33 GPUs Before AGI Arrival
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My house has 33 GPUs > 21x RTX 3090s
> 4x RTX 4090s
> 4x RTX 5090s
> 4x Tenstorrent Blackhole p150a I am also expecting a delivery of > 16x Tenstorrent Blackhole p150a Before AGI arrives: Acquire GPUs. Go into debt if you must. But whatever you do, secure the GPUs. -
Doubling AI Task Autonomy and LLM Training Challenges
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According to METR, the length of tasks that AI can solve ("time-horizon of autonomy") is doubling every 7 months But that leaves many questions unanswered ▸ What abilities in LLMs did it take to increase autonomy that much?
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Predicting AI Success: A Long-Term Stock Picking Challenge
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Yep but it's kinda like stock picking You only know after 20 years if you picked the right one
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Binary Systems Limit Human Potential and AI Development
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Le raisonnement binaire qui nous est imposé par notre dépendance addictive à des systèmes binaires extrêmement simplistes par rapport aux immenses capacités humaines initiales est un immense danger.
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Hinton warns superintelligent AI will cause massive job losses
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The godfather of AI, Geoffrey Hinton: „But when you get superintelligent AI, its not clear what jobs those people are going to do. So I believe that we are going to see fairly a massive loss of jobs.“ https://t.co/zNxtgtsrVX
— Chubby♨️ (@kimmonismus) 11 septembre 2025The godfather of AI, Geoffrey Hinton: „But when you get superintelligent AI, its not clear what jobs those people are going to do. So I believe that we are going to see fairly a massive loss of jobs.“
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Subsymbolic cognition and justified reasoning in human intelligence
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When we don’t have decisive rational arguments, we resort to the subsymbolic faculties of our mind. Their output manifests as imaginations and feelings. As we grow up, we learn to analyze the structure and justification of our feelings, especially the feeling of justification.