I think it’s also because she can’t move her face. So even if she was trying to be playfully sarcastic as some say, it’s hard to tell.
AGI
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Hard Takeoff Scenario Increasingly Likely in AI Development
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Hard takeoff seems increasingly likely.
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Meta-Agentic Tree Search: Strategic AGI Sector Impact Prediction
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Pioneering Meta-Agentic Tree Search opened the path to AGI Alpha—the strategic edge gained by accurately predicting sectors significantly impacted by AGI, empowering intuitive agents to collaboratively explore and illuminate sectors poised for transformative AGI-driven shifts.
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Prompt Engineering Technique: Increasing Intensity in AI Responses
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I'll be prompting like, "And with more… intensity" https://t.co/VhC9RYfybb
— fofr (@fofrAI) 20 mai 2025I'll be prompting like, "And with more… intensity"
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AGI in 2 years, ASI in 10, full automation cheap goods
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Scenario: We get AGI in 2 years, ASI in maybe 10 years. You have all of your basic needs met. Goods and services are unfathomably cheap. Full scale automation (FSA) reduces the price of everything down to the amount of electricity that is used to produce it, which will
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Gemini Deep Think: Enhanced Reasoning Mode for 2.5 Pro
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In the spirit of exploring the boundaries of Gemini's thinking capabilities, we're starting to test an enhanced reasoning mode of 2.5 Pro called Deep Think. It uses parallel thinking techniques to give Gemini time to consider multiple hypotheses before responding.
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Google Introduces Gemini World, Universal AI Assistant for AGI
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BREAKING 🚨: Google introduced Gemini World! A universal AI assistant, which will push us forward on the path to AGI. https://t.co/m2y0oMjkmW pic.twitter.com/1uLDpCixV6
— 🚨 AI News | TestingCatalog (@testingcatalog) 20 mai 2025BREAKING : Google introduced Gemini World! A universal AI assistant, which will push us forward on the path to AGI.
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Future of AI Thinking: Livestream Insights
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Tune into the livestream to hear how we’re thinking about the future of AI https://t.co/XrdymSTRIA
— Google AI (@GoogleAI) 20 mai 2025Tune into the livestream to hear how we’re thinking about the future of AI
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ARC-AGI-2 Paper Published: Design, Challenges, Human and Model Performance
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We just posted our paper on ARC-AGI-2 — covering its design principles, what makes it more challenging, a detailed analysis of human performance, and current model performance.
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Sovereign α-AGI: Self-Evolving On-Chain Agentic Swarms
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"α‑AGI Sovereign" Autonomous, on-chain Meta-Agentic enterprises deploying self-evolving agentic swarms—strategically converting global inefficiencies into unprecedented value, implicitly reshaping the very foundations of economic reality. GitHub :