virtuals agents bought 1,847 nfts last month with 67% profitable flip rate. no emotions, no sleep, just pattern recognition executing in milliseconds.11,000 agents control $400m. they're sweeping floors at 3am and frontrunning announcements before humans wake up. virtual at $1.37 with agents compounding their own treasuries. ...

Core Argument - The presentation posits a powerful link between large language models and personal growth, emphasizing pattern recognition as a key skill behind breakthroughs, discoveries, and deep learning [1][2][11] - The speaker introduces the concept of "regitation" (recitation) as a method to discover personal patterns, advocating for writing down observations without immediate analysis to uncover underlying assumptions [11] Pattern Recognition & Learning - Pattern recognition is crucial because humans, like their ancestors, seek to predict outcomes in an uncertain and complex world, leading to the mind's processes of deletion, distortion, and generalization of information [5][6] - Human learning processes (deletion, distortion, generalization) are linked to machine learning concepts (selection, transformation, categorization) [7][8] Application & Impact - The speaker initially faced an "impostor" feeling related to cloud cost management, highlighting the importance of soft skills and pattern recognition in overcoming challenges [3][4] - The presentation aims to spread the message that understanding pattern recognition can boost performance and happiness, even though AI researchers are already familiar with the concept [9][10]

Cognitive Biases and Pattern Recognition - The human brain is wired to identify patterns for survival, but this can lead to finding patterns where they don't exist, a phenomenon called apophenia [1][2][3][4] - Cognitive biases, like availability bias, can cause inaccurate or illogical decision-making, even among skilled professionals such as doctors [5][6][7] - Emotions can impair the ability to understand probability objectively, leading to misinterpretations of data and potentially harmful consequences [9][10][11][12] Artificial Intelligence in Healthcare - AI is a fast and accurate pattern detector capable of processing vast amounts of data, but it is trained on human data and can therefore reflect human biases [7][8][13] - AI can surface potential diagnoses that human doctors may not consider, highlighting its potential as a diagnostic tool [15][16] - A partnership between AI and human intelligence is crucial for accurate diagnoses and better decision-making in high-stakes situations [17][18] Numeracy and Probability - Numeracy, the ability to understand and work with numbers, and probability are essential for objective decision-making [8][9] - Misunderstanding probability can lead to severe consequences, as illustrated by the Sally Clark case where incorrect statistical analysis resulted in a wrongful conviction [10][11][12]