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Working memory - Wikipedia
Working memory is a cognitive system with a limited capacity that can hold information temporarily. [1] It is important for reasoning and the guidance of decision-making and behavior.
Working hurts less than procrastinating, we fear the twinge of starting
When you procrastinate, you're probably not procrastinating because of the pain of working. …
Depth-First Procrastination
When subgoals recur infinitely.
Omens of exceptional talent
Gaiseric…was a man of moderate height and lame in consequence of a fall from his horse. He was a man of deep thought and few words
I’m often asked about the signs of exceptional talent I’ve observed, probably because I spend too much running around talking to people & observing things, instead of doing anything useful.
Patrick Collison, Sam Altman, and Tyler Cowen are the three names that come to mind when thinking about this question. Of my writing, Intelligence killed …
Unpacking Intuition
Can intuition be taught? The way in which faces are recognized, the structure of natural classes, and the architecture of intuition may all be instances of the same process. The conjecture that intuition is a species of recognition memory implies ...
Conscious exotica
From algorithms to aliens, could humans ever understand minds that are radically unlike our own?
The Perfect Plan
Too often do we obsess over the perfect plan to chase our dreams, resulting in analysis paralysis. Instead of being stuck in this limbo, I've made the perfect plan for anyone to chase their dreams.
The Magic of Sampling, and its Limitations Posted on Saturday, February 4, 2023.
Sampling can help estimate the percentage of items with a specific trait accurately. The number of samples taken greatly affects the accuracy of the estimate. To get precise estimates, all items must have an equal chance of being selected during sampling.
Class Warfare
The text discusses a woman's conversation about company politics and self-interest, highlighting a zero-sum mentality within organizations. It emphasizes the need to shift away from this mindset and focus on creating value instead. The author suggests that combating this mentality starts with internal change and encourages individuals to reject zero-sum thinking for long-term benefit.
Death Note: L, Anonymity & Eluding Entropy
The text discusses Light's mistakes in using the Death Note and how they led to his de-anonymization by L. Light's errors, such as revealing his precise killing methods and using confidential police information, significantly reduced his anonymity. The text also explores strategies Light could have employed to better protect his anonymity while using the Death Note.
Copying Better: How To Acquire The Tacit Knowledge of Experts
The text discusses how to acquire expert intuition, known as tacit knowledge, through emulation and apprenticeship. Naturalistic Decision Making (NDM) research helps extract and teach expert judgment using methods like Cognitive Task Analysis and the recognition-primed decision making model. Experts rely on implicit memory and pattern recognition to make rapid assessments and decisions, which can be challenging to verbalize.
Generative Agents: Interactive Simulacra of Human Behavior
The content discusses generative agents that simulate believable human behavior for interactive applications. These agents populate a sandbox environment, interact with each other, plan their days, form relationships, and exhibit emergent social behaviors. The paper introduces a novel architecture that allows agents to remember, retrieve, reflect, and interact dynamically.
K-Level Reasoning with Large Language Models
Large Language Models (LLMs) have shown proficiency in complex reasoning tasks, but their performance in dynamic and competitive scenarios remains unexplored. To address this, researchers have introduced two game theory-based challenges that mirror real-world decision-making. Existing reasoning methods tend to struggle in dynamic settings that require k-level thinking, so the researchers propose a novel approach called "K-Level Reasoning" that improves prediction accuracy and informs strategic decision-making. This research sets a benchmark for dynamic reasoning assessment and enhances the proficiency of LLMs in dynamic contexts.
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