Bookmarks
Bloom’s 3 Stages of Talent Development
First, fun and exciting playtime. Then, intense and strenuous skill development. Finally, developing one’s individual style while pushing the boundaries of the field.
A note about "The Humane Representation of Thought"
A year and a half ago, on a plane, I wrote An Ill-Advised Personal Note about "Media for Thinking the Unthinkable".
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.
"CBLL, Research Projects, Computational and Biological Learning Lab, Courant Institute, NYU"
Yann LeCun's Web pages at NYU
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 …
Being the (Pareto) Best in the World
John Wentworth argues that becoming one of the best in the world at *one* specific skill is hard, but it's not as hard to become the best in the worl…
Noghartt's garden
A place where I put all my thoughts
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 ...
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.
Chess-GPT's Internal World Model
The blog post discusses how a GPT model trained on chess games learns to predict moves and track the board state without being explicitly given the rules. It successfully classified chess pieces with high accuracy and estimated player skill levels based on game moves. The findings suggest that models trained on strategic games can effectively learn complex tasks through pattern recognition.
Teach Yourself Programming in Ten Years
The text discusses the misconception of quickly learning programming in a short time, emphasizing that true expertise takes about ten years of dedicated practice and learning. It highlights the importance of hands-on experience, interacting with other programmers, and working on various projects to become a skilled programmer. The text emphasizes that mastering programming requires practical application, learning from others, and continuous practice over time.
How I got better at debugging
Julia Evans shares her journey of improving her debugging skills through logical thinking, confidence, expanding knowledge, communication, and using tools like strace and tcpdump. By being systematic, confident, knowledgeable, and open to collaboration, she transformed debugging from a challenging task to an exciting learning opportunity. Her story emphasizes the importance of persistence, curiosity, and practical problem-solving in mastering the art of debugging.
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.
Speech-to-text models
Speech-to-text AI enhances communication and accessibility by transcribing spoken words into text accurately and efficiently. Machine learning and AI advancements have significantly improved the accuracy and adaptability of speech-to-text systems. These technologies open up new possibilities for inclusive and effective communication across various industries.
BSTJ 57: 6. July-August 1978: The UNIX Time-Sharing System. (Ritchie, D.M.; Thompson, K.)
The UNIX Time-Sharing System is a versatile operating system with unique features. It runs on Digital Equipment Corporation computers and emphasizes simplicity and ease of use. UNIX has been widely adopted for research, education, and document preparation purposes.
king - man + woman is queen; but why?
The text explains how the word2vec algorithm transforms words into vectors for analyzing similarities and relationships between words. By using vector arithmetic, it can find analogies such as "king - man + woman = queen." Understanding word co-occurrences can provide insight into the meaning of words through the distributional hypothesis.
Human Knowledge Compression Contest
The Human Knowledge Compression Contest measures intelligence through data compression ratios. Better compression leads to better prediction and understanding, showcasing a link between compression and artificial intelligence. The contest aims to raise awareness of the relationship between compression and intelligence, encouraging the development of improved compressors.
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.
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