The Kozma Test for Artificial General Intelligence: Can AI End Global Poverty?
#AI #AIio #BigData #ML #NLU #Futureofwork @oluskayacan @richardkimphd @MariaFariello @johnpearcenews5 @ResurgentAV @rohanmuralee @globaliqx http://
ow.ly/YyQM30sHOzV
AGI
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The Kozma Test: AI’s Potential to Solve Global Poverty
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Gemini Remembers User Preferences: Pizza Order Personalization
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Hey Gemini, can you remember that everytime I go to a pizza place we always buy a pepperoni for my son, since that's the only type he eats? Yes, is the answer.
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Dynamiq AGI: Swiss Army Knife for AI Engineers with RAG
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.@DynamiqAGI is like a Swiss army knife for AI Engineers, it supports: – RAG
– Multi agent orchestration
– Managing complex LLM workflows Find all the code here and don't forget to star the repo: https://
github.com/dynamiq-ai/dyn
amiq
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Evolution of Next Frame Prediction from AGI Theory to Practical Application
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2018: Next frame prediction is key to AGI
— hardmaru (@hardmaru) 19 novembre 2024
2024: Next frame prediction in practice https://t.co/5h24i9tumi2018: Next frame prediction is key to AGI 2024: Next frame prediction in practice
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Human Intelligence as Recursive Wrapper Concept
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In a way, human intelligence can be thought of as a wrapper. In some sense, we are wrappers all the way down
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Optimus as Poker Dealer: AI Agents in Social Scenarios
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Dominoes? "Hey Optimus can you be the dealer for me and my friends Saturday night when we play poker?" 🙂
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Home Robots Will Handle Interior Design Tasks Autonomously
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And when robots get into homes, the game changes once again. You'll just ask your robot to take care of things. "Hey Optimus, I need to repaint this room and get new lights and furniture. You know my tastes, can you complete it with a budget of $3,000."
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AI Learning Trajectory: From Inferior to Superhuman Performance
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Totally! AI always starts worse than a child and eventually gets better than any human.
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What if multiple AGIs declared war on each other?
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What if we end up with several AGIs that declare war on one another?
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Counterargument to LLM Niceness Implying Easy Alignment
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I agree. I only counterargue the argument "LLMs nice therefore alignment easy".