Writing
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Country of ServicesBackpropagating across a country -
Information AsymmetryHigh frequency info -
Training ImperativeLabor priced in tokens -
Teaching GPT-5 to Use a ComputerTowards self-driving computers -
Hero's JourneyThe Hero's Journey -
Intelligence Arbitrage$25T Services Market -
Perceived AgeHalf Our Life is Over by 21 -
High AgencyMastery in shape rotation - Tripping on LLMsEarly GPT-2 experiments and the limits of LLMs
- Opportunity for AI peopleHow to become rich and famous (not clickbait)
- Finding your tribeFinding a community through Hacker News, Twitter, and GZM
- Cold inbound softwareBuilding shl.vc and learning to work remotely
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Social CapitalInterest paid in lifetimes -
Vector FieldsIncentivizing work than hacking -
Building a web server with Docker and Traefik Load BalancerSelf-host anything and everything with this simple setup -
Policy Gradients [Draft]Explanation, derivation, and implementation of Policy Gradients. -
Gradients, Backprop, and Derivatives in Tensorflow [Draft]Tutorial on computing gradients and derivatives using Numpy and Tensorflow -
Hyperparameter Behavior in Reinforcement LearningHow do hyperparameters affect traditional RL algorithms? -
DAgger ExplainedExpert-guided imitation learning -
Starting out with Numpy, Pandas, Scikit-Learn, and KerasWelcome to an introductory tutorial into Data Science with Python. I will cover the basics of how to use Numpy, Pandas, Scikit-Learn, and Keras. - Introduction to PythonA simple introductory tutorial on how to use Python.
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Building a Self Driving Car using Machine LearningProving Machine Learning methods can outperform traditional computationally expensive computer vision, path planning, and localization algorithms.