The dangerous race to AGI https://
youtu.be/HRSWBCqz7qo?si
=fg5QpWBlXfli1puH
… via @YouTube #ArtificialInteligence #Tech #AGI #AI @lexfridman @KirkDBorne @Ronald_vanLoon @erikbryn @antgrasso @sallyeaves @Nicochan33 @HaroldSinnott @mvollmer1 @marcusborba @CatherineAdenle @vinod1975 @YuHelenYu @ingliguori
AGI
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The Dangerous Race to Artificial General Intelligence
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AI Market Concentration Risks: Growing Rug Pull Concerns
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Rug will grow and grow and grow But the mc will be smaller and smaller and smaller Lose lose lose situation
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Vision-Language Synergy for Abstract Reasoning Tasks
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7. Vision-Language Synergy Reasoning A method that combines visual and textual reasoning to improve performance on ARC-AGI abstract reasoning tasks.
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Distributional AGI Safety Research by Tomašev et al
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Distributional AGI Safety Tomašev et al.: https://
arxiv.org/abs/2512.16856 #ArtificialIntelligence #DeepLearning #MachineLearning -
Gemini 3 Flash: Exploring the Latest Model Capabilities
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This is all Gemini 3 Flash…will share the prompt shortly
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AGI Implementation Challenges: Six Months of Unsuccessful Attempts
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I spent many (unsuccessful) hours trying this just 6 months ago. Feeling the AGY.
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LLMs Limitations: Knowledge Updates and Generalization Constraints Explained
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As amazing as LLMs are, improving their knowledge today involves a more piecemeal process than is widely appreciated. I’ve written before about how AI is amazing… but not that amazing. Well, it is also true that LLMs are general… but not that general. We shouldn’t buy into
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Stanford HAI Researchers Predict AI Trends for 2026
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What’s next in AI in 2026? Stanford HAI's leading researchers just dropped their predictions: @landay https://t.co/0eRDUypDCZ pic.twitter.com/laz63RarMR
— Stanford HAI (@StanfordHAI) 19 décembre 2025What’s next in AI in 2026? Stanford HAI's leading researchers just dropped their predictions: @landay https://
hai.stanford.edu/news/stanford-
ai-experts-predict-what-will-happen-in-2026
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Stanford’s Coordination Layer Theory Challenges LLM AGI Bottleneck
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Are LLMs a dead end for AGI? Stanford's Edward Y. Chang argues the bottleneck isn't the model, but a missing "coordination layer." The new theory (UCCT) sees reasoning as a phase transition, moving from simple pattern-matching to goal-directed thinking. He built MACI, a
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Teenager with AI Bot Could Destroy Your Company by 2026
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"""
During these beautiful holy days of relaxation with friends and food… Keep in mind that your company will be destroyed in 2026 by a bored teenager with a AI bot… from my family to yours, ~~ Kitze """