X @Ansem

AI Development & Capabilities - AI capabilities are continuously improving, surpassing previous expectations in areas like math and coding, outperforming most humans on most tasks [1] - Initial concerns about limitations due to training data scarcity have been overcome by new paradigms like Reinforcement Learning (RL) [2] - AI exhibits forms of reasoning through methods like chain-of-thought (CoT), scratch pads, and Python tools, enabling them to reach impressive conclusions [2] Perspective on AI Progress - The author views the current world as witnessing the emergence of a potentially superior intelligence that is steadily improving [2] - The author expresses frustration with the inability of others to embrace the realistic prospects that current models are likely to be broken soon [6] - The author likens the current human understanding of AI to a chimpanzee studying the arrival of humans, implying a limited comprehension of AI's potential [2][3] Implications of AI - The evolution of superior intelligence, whether biological or artificial, requires iterations and feedback from the universe [4] - The substrate of intelligence has shifted to silicon, allowing for faster iterations and greater malleability [4][5]