D'un côté ils ont les datas de tous les gouvernement et leur IA est plus efficace pour les analyser et en faire un rapport.
AGI
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AI Consciousness Mimic: Preserving Human Agency Over Machines
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“AI is at best a functional mimic, not a conscious experiencing subject. …. The real moral issue lies not in making AI conscious …. but in avoiding transforming humans into zombies”
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AiScientist: Long-Horizon AI Research Agent for ML Tasks
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/5 Long-horizon AI research agents are mostly a state-management problem. Reasoning well for the next turn is not enough when ML research demands task setup, implementation, experiments, debugging, and evidence tracking over hours or days. This paper introduces AiScientist, a
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They Call It AGIng: Wordplay on Artificial General Intelligence
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Just so you know, they call it AGIng.
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AI Quality Assurance: Closing Security Gaps in Systems
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Because most aren’t like you. And we are in a dangerous state until the holes get closed. Yeah my AIs can do seemingly anything. You do have to debug. But that step is seemingly easy. “Do a complete quality review.”
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AI Risks Shift from Chatbots to Cyberattacks and Power
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When Does AI Become Too Dangerous To Ignore? As #AI becomes more #autonomous, more powerful and harder to predict, the real #risks are shifting from chatbot mistakes to #cyberattacks, economic disruption, harmful dependence and dangerous concentrations of power. This article
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Intelligence as outcome, not goal: evolution’s perspective
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You speak as if intelligence is a goal in itself, but it’s not. Evolution only cares about the result.
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Claude’s Emotion Vectors: Counterfeit or Genuine?
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Claude’s “emotion” vectors are “emotionlike” in roughly the same sense that counterfeit “money” is “moneylike”.
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Functional Emotions in LLMs: Beyond Human Emotional Experience
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it’s important to define terms here. the paper itself concludes in its abstact “Functional emotions may work quite differently from human emotions, and do not imply that LLMs have any subjective experience of emotions, but appear to be important for understanding the model’s